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Associate Professor Mitch Duncan

Future Leaders Fellow

School of Medicine and Public Health

Could sleep be the missing piece of the weight loss puzzle?

We all know that what we eat and how much we exercise can affect our weight. We also know that sleep quality has a huge impact on our health. But how important is sleep for weight loss? This is the question Associate Professor Mitch Duncan is aiming to answer, and the huge investigation has been a long time coming.

Mitch’s exemplary public health expertise has developed through years of working with some of the best researchers in the business. He was drawn to Newcastle thanks to the stellar reputation of the Priority Research Centre for Physical Activity and Nutrition (PRC PAN).

“PRC PAN are known for their high quality research and so I wanted to come here and get involved with their intervention projects,” says Mitch.

Throughout his Health and Human Performance undergraduate degree, Mitch had a number of ideas about what he might like to do in the future. He considered working in education, cardiac rehabilitation or the health and safety sector. But in his final year, his fate was sealed – as part of one of his course requirements, he undertook a workplace placement. The workplace in question? The birthplace of 10,000 Steps – just as the project was kicking off.

The 10,000 Steps project is one of Australia’s greatest public health success stories. The project started at Central Queensland University in Rockhampton, and has since attracted more than 350,000 members from all over the world.

“That was where I first got experience in community level intervention research. I just knew, ‘This is for me, this is what I want to do,’” Mitch remembers. He continued working with the project, and also going on to complete his Honours and PhD research. He progressed from work experience student to project leader – and saw a number of changes along the way.

When 10,000 Steps was first conceived, participants were given pedometers and kept a physical log-book of their activity. With the increasing availability and popularity of smart-phones and fitness tracking devices, the project looks very different today. As Mitch witnessed this evolution of technology, he became interested in just how we can use these advances in health research, as well as to encourage physical activity in the  general community.

This technology evolution also plays into the PRC  PAN’s Move, Eat, Sleep trial, which is funded by Diabetes Australia and the Heart Foundation.

“This project is almost like an amalgamation of a few different interventions that we’ve had along the way.

“What we're now doing is bringing together activity, diet and sleep to ask: what is the added benefit of improving sleep in combination with diet and physical activity?

“We know that people with poor quality sleep tend to lose less weight compared to those with good quality sleep in a standard weight loss trial.

“No one has really tested to see whether improving the sleep of people can help them lose more weight, and keep it off for longer.

“It’s a big project, it’s super exciting!”

The project has been put together by Mitch, his colleagues in the PRC PAN and collaborators from universities across the country. Participants will receive personalised feedback on their health habits throughout the trail via a mobile app, and also in person.

“What we’d like to do is see how these basic lifestyle interventions can work in clinical populations.

“So we’d look at helping people who with diabetes, or people with existing sleep conditions.

“Ideally we’d be able to disseminate these interventions more widely - like we did with 10,000 Steps.”

Mitch has also been recognised for his work with the community – not just in disseminating health intervention strategies, but in communicating health research to the general public. In 2010, Mitch was presented with a Young Tall Poppy Award in recognition of his outstanding research and communications achievements. He was also a selected speaker for the international 2017 Pint of Science festival.

Could sleep be the missing piece of the weight loss puzzle?

UON Associate Professor Mitch Duncan is investigating how important sleep is for weight loss.

Read more

Career Summary

Biography

My research is centred on getting people to be more physically active throughout the day and improve their quality of sleep. This research is currently supported by a National Heart Foundation Future Leader Fellowship and also by the National Health and Medical Research Council and the Queensland Government.

The three themes of my research are:
1) understanding the joint influence of physical activity, sedentary and sleep behaviour on health outcomes;
2) identifying what factors influence these behaviours and challenge our ability to engage in them in healthy ways;
3) developing and testing interventions to improve these behaviours. Much of this intervention work uses technologies such as mobile devices and the internet to deliver the interventions. If you wish to undertake study or work in these areas, please contact me to discuss what opportunities may be available.

As a chief investigator I have secured $5.5 million from: National Heart Foundation; National Health and Medical Research Council; Australian Research Council (Linkage & Discovery) and the Queensland Government. My research has received several awards including the National Heart Foundation Queensland Researcher of the Year and the Australian Institute of policy & Science Queensland Young Tall Poppy Award.

Research Expertise
The role of physical activity, sitting and sleep behaviours as joint influences of health status including obesity, CVD risk, diabetes and mental health. Clarifying the role of personal, social and environmental factors as influences of health behaviours with a focus on physical activity, sitting and sleep. The use of IT-based interventions to promote engagement in health behaviours. Including the use of smartphones, wearable technology. 

Current Research Recruitment

We are currently recruiting adults for the REFRESH Study. If you aged 40-65, are physically inactive, have poor quality sleep, don't do shift work and don't have a sleep disorder please go to http://www.tinyurl.com/refreshstudy to see if you are eligible


Qualifications

  • PhD, University of Central Queensland
  • Bachelor of Health&Human Perf(Hons)(Hum Move Sc), University of Central Queensland

Keywords

  • IT-based interventions
  • physical activity
  • sedentary behaviour
  • sleep behaviour

Fields of Research

Code Description Percentage
110699 Human Movement and Sports Science not elsewhere classified 20
111712 Health Promotion 50
111716 Preventive Medicine 30

Professional Experience

UON Appointment

Title Organisation / Department
Future Leaders Fellow University of Newcastle
School of Medicine and Public Health
Australia

Academic appointment

Dates Title Organisation / Department
1/01/2011 - 30/04/2014 Research Fellow in Population Health Central Queensland University
Institute for Health and Social Science Research
1/01/2008 - 30/12/2010 Senior-postdoctoral Research Fellow in Population Health CQUniversity
Institute for Health and Social Science Research
Australia
1/07/2006 - 1/12/2007 Career Development Fellow in Population Health and Physical Activity Central Queensland University
Australia
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Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Chapter (2 outputs)

Year Citation Altmetrics Link
2014 Burke M, Stanley J, Duncan MJJ, Stone J, Giles-Corti B, 'Action area 4 - Active travel', Blueprint for an active Australia, National Heart Foundation of Australia, Melbourne 32-37 (2014)
2010 Whitzman C, Romero V, Duncan M, Curtis C, Tranter P, Burke M, 'Links between Children's Independent Mobility, Active Transport, Physical Activity and Obesity', Preventing Childhood Obesity: Evidence Policy and Practice 105-112 (2010)
Citations Scopus - 9

Journal article (116 outputs)

Year Citation Altmetrics Link
2017 Jennings CA, Berry TR, Carson V, Culos-Reed SN, Duncan MJ, Loitz CC, et al., 'UWALK: the development of a multi-strategy, community-wide physical activity program', TRANSLATIONAL BEHAVIORAL MEDICINE, 7 (2017) [C1]
DOI 10.1007/s13142-016-0417-5
Citations Web of Science - 1
2017 Vandelanotte C, Kolt GS, Caperchione CM, Savage TN, Rosenkranz RR, Maeder AJ, et al., 'Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial.', Journal of medical Internet research, 19 e390 (2017) [C1]
DOI 10.2196/jmir.8484
Co-authors Christopher Oldmeadow
2017 Short C, James E, Rebar AL, Duncan MJJ, Courneya K, Plotnikoff R, et al., 'Designing more engaging computer-tailored physical activity behaviour change interventions for breast cancer survivors: lessons from the iMove More for Life study', Supportive Care in Cancer, 25 3569-3585 (2017) [C1]
DOI 10.1007/s00520-017-3786-5
Co-authors Erica James, Ron Plotnikoff
2017 Kolt GS, Rosenkranz RR, Vandelanotte C, Caperchione CM, Maeder AJ, Tague R, et al., 'Using web 2.0 applications to promote health-related physical activity: Findings from the WALK 2.0 randomised controlled trial', British Journal of Sports Medicine, 51 1433-1440 (2017) [C1]

Background/Aim Web 2.0 internet technology has great potential in promoting physical activity. This trial investigated the effectiveness of a Web 2.0-based intervention on physica... [more]

Background/Aim Web 2.0 internet technology has great potential in promoting physical activity. This trial investigated the effectiveness of a Web 2.0-based intervention on physical activity behaviour, and the impact on website usage and engagement. Methods 504 (328 women, 126 men) insufficiently active adult participants were randomly allocated to one f two web-based interventions or a paper-based Logbook group. The Web 1.0 group participated in the existing 10 000 Steps programme, while the Web 2.0 group participated in a Web 2.0-enabled physical activity intervention including user-to-user interaction through social networking capabilities. ActiGraph GT3X activity monitors were used to assess physical activity at four points across the intervention (0, 3, 12 and 18 months), and usage and engagement were assessed continuously through website usage statistics. Results Treatment groups differed significantly in trajectories of minutes/day of physical activity (p=0.0198), through a greater change at 3 months fo Web 2.0 than Web 1.0 (7.3 min/day, 95% CI 2.4 to 12.3). In the Web 2.0 group, physical activity increased at 3 (mean change 6.8 min/day, 95% CI 3.9 to 9.6) and 12 months (3.8 min/day, 95% CI 0.5 to 7.0), but not 18 months. The Logbook group also increased physical activity at 3 (4.8 min/day, 95% CI 1.8 to 7.7) and 12 months (4.9 min/day, 95% CI 0.7 to 9.1), but not 18 months. The Web 1.0 group increased physical activity at 12 months only (4.9 min/day, 95% CI 0.5 to 9.3). The Web 2.0 group demonstrated higher levels of website engagement (p=0.3964).Conclusions In comparison to a Web 1.0 intervention, a more interactive Web 2.0 intervention, as well as the paper-based Logbook intervention, improved physicalactivity in the short term, but that effect reduced over time, despite higher levels of engagement of the Web 2.0 group. Trial registration number ACTRN12611000157976.

DOI 10.1136/bjsports-2016-096890
Citations Web of Science - 1
Co-authors Christopher Oldmeadow
2017 Clark BK, Kolbe-Alexander TL, Duncan MJ, Brown W, 'Sitting time, physical activity and sleep by work type and pattern-the Australian longitudinal study on Women¿s health', International Journal of Environmental Research and Public Health, 14 1-15 (2017) [C1]
DOI 10.3390/ijerph14030290
2017 Paterson JL, Reynolds AC, Duncan M, Vandelanotte C, Ferguson SA, 'Barriers and Enablers to Modifying Sleep Behavior in Adolescents and Young Adults: A Qualitative Investigation', Behavioral Sleep Medicine, 1-13 (2017)

© 2017, Taylor & Francis. All rights reserved. Objective: Many young adults obtain less than the recommended sleep duration for healthy and safe functioning. Behavior chang... [more]

© 2017, Taylor & Francis. All rights reserved. Objective: Many young adults obtain less than the recommended sleep duration for healthy and safe functioning. Behavior change interventions have had only moderate success in increasing sleep duration for this cohort. This may be because the way young adults think about sleep, including their willingness and ability to change sleep behavior, is unknown. The purpose of the present study was to determine what changes, if any, young adults are willing to make to their sleep behavior, and to identify factors that may enable or prevent these changes. Participants: Fifty-seven young adults (16¿25 years; 57% female) took part in focus groups addressing (a) willingness to change, (b) desired outcomes of change, and (c) barriers to change in regards to sleep behavior. Methods: An inductive approach to data analysis was employed, involving data immersion, coding, categorization, and theme generation. Results: Participants were willing to change sleep behavior, and had previously employed strategies including advancing bedtime and minimizing phone use, with limited success. Desired changes were improved waking function, advanced sleep onset, optimized sleep periods, and improved sleep habits. Barriers to making these changes included time demands, technology use, difficulty switching off, and unpredictable habits. Young adults want to improve sleep behavior and waking function; this is an important first step in modifying behavior. Notably, participants wanted more efficient and better quality sleep, rather than increasing sleep duration. Conclusion: The reported barriers to sleep, particularly using technology for social purposes, will require innovative and specialized strategies if they are to be overcome.

DOI 10.1080/15402002.2016.1266489
2017 Kwasnicka D, Vandelanotte C, Rebar A, Gardner B, Short C, Duncan M, et al., 'Comparing motivational, self-regulatory and habitual processes in a computer-tailored physical activity intervention in hospital employees - protocol for the PATHS randomised controlled trial', BMC Public Health, 17 518 (2017)
DOI 10.1186/s12889-017-4415-4
Citations Scopus - 1Web of Science - 1
2017 Kolt GS, George ES, Rebar AL, Duncan MJ, Vandelanotte C, Caperchione CM, et al., 'Associations between quality of life and duration and frequency of physical activity and sedentary behaviour: Baseline findings from the WALK 2.0 randomised controlled trial', PLOS ONE, 12 (2017) [C1]
DOI 10.1371/journal.pone.0180072
2017 Humphries B, Stanton R, Scanlan A, Duncan MJ, 'The prevalence and performance of resistance exercise training activities in an Australian population in relation to health authority guidelines', Journal of Science and Medicine in Sport, (2017)

© 2017 Sports Medicine Australia. Objectives: Resistance training research highlights the importance of training intensity to resistance exercise training (RET) and the associate... [more]

© 2017 Sports Medicine Australia. Objectives: Resistance training research highlights the importance of training intensity to resistance exercise training (RET) and the associated benefits to health and function for healthy and at-risk populations. The American College of Sports Medicine (ACSM) recommend specific intensities, frequencies, repetitions, and number of exercises of RET to be performed to maintain health. The primary aim of this study was to describe the prevalence of achieving recommended levels of RET in relation to ACSM guidelines for intensity, frequency, repetitions, and number of exercises in a regional Australian population. Design: A Computer-Assisted-Telephone-Interview (CATI) survey (n = 1237) was conducted to determine RET participation. Methods: Participants were 18 years plus, residing in Central Queensland, Australia. Results: The prevalence of respondents performing 'No RET', 'insufficient RET' and 'sufficient RET' were 79.6.0%, 15.2% and 5.2% respectively. Significantly higher proportions of younger adults adhered to all RET guidelines for intensity (19.2 vs 8.1%), frequency (19.9 vs 11.6%), repetitions (17.8 vs 6.3%), and number of exercises (8.2 vs 3.6%) (p. < . 0.05). Significantly higher proportions of males, younger adults (18-34 years), higher educated individuals ( > . 15 years), and individuals engaging in sufficient levels of aerobic exercise training (AET) engaged in sufficient levels of RET (p. < . 0.05). Conclusions: The prevalence of Australian's participating in regular RET programs is low and only a small proportion of participants meet ACSM guidelines for the quantity and quality of RET that is likely to provide health benefits. This has implications for public health policy and the future development and promotion of population-level RET guidelines.

DOI 10.1016/j.jsams.2017.09.018
2017 Alley SJ, Duncan MJ, Schoeppe S, Rebar AL, Vandelanotte C, '8-year trends in physical activity, nutrition, TV viewing time, smoking, alcohol and BMI: A comparison of younger and older Queensland adults', PLOS ONE, 12 (2017) [C1]
DOI 10.1371/journal.pone.0172510
2017 Duncan M, Murawski B, Short CE, Rebar AL, Schoeppe S, Alley S, et al., 'Activity Trackers Implement Different Behavior Change Techniques for Activity, Sleep, and Sedentary Behaviors', Interactive Journal of Medical Research, 6 e13-e13 (2017)
DOI 10.2196/ijmr.6685
2017 Alley S, Wellens P, Schoeppe S, De Vries H, Rebar AL, Short CE, et al., 'Impact of increasing social media use on sitting time and body mass index', Health Promotion Journal of Australia, 28 91-95 (2017) [C1]

Issue addressed Sedentary behaviours, in particular sitting, increases the risk of cardiovascular disease, type 2 diabetes, obesity and poorer mental health status. In Australia, ... [more]

Issue addressed Sedentary behaviours, in particular sitting, increases the risk of cardiovascular disease, type 2 diabetes, obesity and poorer mental health status. In Australia, 70% of adults sit for more than 8h per day. The use of social media applications (e.g. Facebook, Twitter, and Instagram) is on the rise; however, no studies have explored the association of social media use with sitting time and body mass index (BMI). Methods Cross-sectional self-report data on demographics, BMI and sitting time were collected from 1140 participants in the 2013 Queensland Social Survey. Generalised linear models were used to estimate associations of a social media score calculated from social media use, perceived importance of social media, and number of social media contacts with sitting time and BMI. Results Participants with a high social media score had significantly greater sitting times while using a computer in leisure time and significantly greater total sitting time on non-workdays. However, no associations were found between social media score and sitting to view TV, use motorised transport, work or participate in other leisure activities; or total workday, total sitting time or BMI. Conclusions These results indicate that social media use is associated with increased sitting time while using a computer, and total sitting time on non-workdays. So what? The rise in social media use may have a negative impact on health by contributing to computer sitting and total sitting time on non-workdays. Future longitudinal research with a representative sample and objective sitting measures is needed to confirm findings.

DOI 10.1071/HE16026
2017 Batacan RB, Duncan MJ, Dalbo VJ, Tucker PS, Fenning AS, 'Effects of high-intensity interval training on cardiometabolic health: A systematic review and meta-analysis of intervention studies', British Journal of Sports Medicine, 51 494-503 (2017) [C1]

The current review clarifies the cardiometabolic health effects of high-intensity interval training (HIIT) in adults. A systematic search (PubMed) examining HIIT and cardiometabol... [more]

The current review clarifies the cardiometabolic health effects of high-intensity interval training (HIIT) in adults. A systematic search (PubMed) examining HIIT and cardiometabolic health markers was completed on 15 October 2015. Sixty-five intervention studies were included for review and the methodological quality of included studies was assessed using the Downs and Black score. Studies were classified by intervention duration and body mass index classification. Outcomes with at least 5 effect sizes were synthesised using a random-effects meta-analysis of the standardised mean difference (SMD) in cardiometabolic health markers (baseline to postintervention) using Review Manager 5.3. Short-term (ST) HIIT ( < 12 weeks) significantly improved maximal oxygen uptake (VO 2 max; SMD 0.74, 95% CI 0.36 to 1.12; p < 0.001), diastolic blood pressure (DBP; SMD -0.52, 95% CI -0.89 to -0.16; p < 0.01) and fasting glucose (SMD -0.35, 95% CI -0.62 to -0.09; p < 0.01) in overweight/obese populations. Long-term (LT) HIIT (=12 weeks) significantly improved waist circumference (SMD -0.20, 95% CI -0.38 to -0.01; p < 0.05), % body fat (SMD -0.40, 95% CI -0.74 to -0.06; p < 0.05), VO 2 max (SMD 1.20, 95% CI 0.57 to 1.83; p < 0.001), resting heart rate (SMD -0.33, 95% CI -0.56 to -0.09; p < 0.01), systolic blood pressure (SMD -0.35, 95% CI -0.60 to -0.09; p < 0.01) and DBP (SMD -0.38, 95% CI -0.65 to -0.10; p < 0.01) in overweight/obese populations. HIIT demonstrated no effect on insulin, lipid profile, C reactive protein or interleukin 6 in overweight/obese populations. In normal weight populations, ST-HIIT and LT-HIIT significantly improved VO 2 max, but no other significant effects were observed. Current evidence suggests that ST-HIIT and LT-HIIT can increase VO 2 max and improve some cardiometabolic risk factors in overweight/obese populations.

DOI 10.1136/bjsports-2015-095841
Citations Scopus - 5Web of Science - 5
2017 Gilson ND, Pavey TG, Wright OR, Vandelanotte C, Duncan MJ, Gomersall S, et al., 'The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers', BMC Public Health, 17 1-11 (2017) [C1]
DOI 10.1186/s12889-017-4380-y
2017 Rayward AT, Duncan MJ, Brown WJ, Plotnikoff RC, Burton NW, 'A cross-sectional cluster analysis of the combined association of physical activity and sleep with sociodemographic and health characteristics in mid-aged and older adults', Maturitas, 102 56-61 (2017) [C1]
DOI 10.1016/j.maturitas.2017.05.013
Co-authors Ron Plotnikoff
2017 Kolt GS, George E, Rebar AL, Duncan MJJ, Vandelanotte C, Maeder A, et al., 'Associations Between Quality of Life and Duration and Frequency of Physical Activity and Sedentary Behaviour: Findings from the WALK 2.0 Trial', PLoS ONE, 12 (2017) [C1]
DOI 10.1371/journal.pone.0180072
2017 Short CE, Rebar A, James EL, Duncan MJ, Courneya KS, Plotnikoff RC, et al., 'How do different delivery schedules of tailored web-based physical activity advice for breast cancer survivors influence intervention use and efficacy?', JOURNAL OF CANCER SURVIVORSHIP, 11 80-91 (2017) [C1]
DOI 10.1007/s11764-016-0565-0
Citations Scopus - 2Web of Science - 3
Co-authors Erica James, Ron Plotnikoff
2017 Batacan RB, Fenning AS, Dalbo VJ, Scanlan AT, Duncan MJ, Moore RJ, Stanley D, 'A gut reaction: the combined influence of exercise and diet on gastrointestinal microbiota in rats', Journal of Applied Microbiology, 122 1627-1638 (2017) [C1]

© 2017 The Society for Applied Microbiology Aims: Intestinal microbiota modulates the development of clinical conditions, including metabolic syndrome and obesity. Many of these ... [more]

© 2017 The Society for Applied Microbiology Aims: Intestinal microbiota modulates the development of clinical conditions, including metabolic syndrome and obesity. Many of these conditions are influenced by nutritional and exercise behaviours. This study aimed to investigate the ability of exercise to re-shape the intestinal microbiota and the influence of the diet on the process. Methods and Results: A rat model was used to examine the intestinal microbiota responses to four activity conditions, including: high-intensity interval training (HIIT), light-intensity training (LIT), sedentary and normal control, each containing two nutritional conditions: high-fat high-fructose diet (HF) and standard chow (SC) diet. No significant differences in microbiota were apparent between activity conditions in rats fed a HF diet but changes in the presence/absence of phylotypes were observed in the LIT and HIIT groups. In rats fed SC, significant differences in intestinal microbiota were evident between exercised and nonexercised rats. Both LIT and HIIT induced significant differences in intestinal microbiota in SC-fed rats compared to their respective SC-fed controls. Characterization of the exercise-induced bacterial phylotypes indicated an increase in bacteria likely capable of degrading resistant polysaccharides and an increase in short chain fatty acid producers. Conclusions: While a significant effect of exercise on microbiota composition occurred in SC-fed rats, the HF-fed rats microbiota showed little response. These data suggest that a HF diet prevented microbiota differentiation in response to exercise. Significance and Impact of the Study: The importance of diet¿exercise interaction is extended to the level of intestinal bacteria and gut health.

DOI 10.1111/jam.13442
Citations Scopus - 1Web of Science - 1
2016 Gilson ND, Pavey TG, Vandelanotte C, Duncan MJ, Gomersall SR, Trost SG, Brown WJ, 'Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers.', Australian and New Zealand journal of public health, 40 91-93 (2016) [C1]
DOI 10.1111/1753-6405.12501
Citations Scopus - 5Web of Science - 4
2016 Caperchione CM, Duncan M, Kolt GS, Vandelanotte C, Rosenkranz RR, Maeder A, et al., 'Examining an Australian physical activity and nutrition intervention using RE-AIM', Health Promotion International, 31 450-458 (2016) [C1]
DOI 10.1093/heapro/dav005
Citations Scopus - 2Web of Science - 2
2016 Schoeppe S, Duncan MJ, Badland HM, Rebar AL, Vandelanotte C, 'Too far from home? Adult attitudes on children's independent mobility range', Children's Geographies, 14 482-489 (2016) [C1]

© 2015 Taylor &amp; Francis. The purpose of this study was to investigate adult attitudes on distances children should be allowed to travel to places and play in outdoor areas ... [more]

© 2015 Taylor & Francis. The purpose of this study was to investigate adult attitudes on distances children should be allowed to travel to places and play in outdoor areas without adult supervision, with consideration of differences in adult attitudes by socio-demographics and urbanisation. In 2013, Australian adults (N = 1293) were asked what distances children aged 8¿12 years should be allowed to walk/cycle to places, and play outdoors without adults. Descriptive analyses and chi-square tests were conducted to assess adult attitudes on children's independent mobility range. Overall, 62% of adults would restrict children's independent travel to places < 500 m from home, and 74% would restrict independent outdoor play < 500 m from home. Women and adults with lower education were more likely to report restrictive attitudes than men and adults with higher education, respectively. The promotion of active travel and outdoor play in children may require increasing adults¿ acceptance of greater independent mobility range.

DOI 10.1080/14733285.2015.1116685
Citations Scopus - 1Web of Science - 2
2016 Batacan RB, Duncan MJ, Dalbo VJ, Connolly KJ, Fenning AS, 'Light-intensity and high-intensity interval training improve cardiometabolic health in rats', APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 41 945-952 (2016) [C1]
DOI 10.1139/apnm-2016-0037
2016 Alley S, Schoeppe S, Guertler D, Jennings C, Duncan MJ, Vandelanotte C, 'Interest and preferences for using advanced physical activity tracking devices: Results of a national cross-sectional survey', BMJ Open, 6 (2016) [C1]
DOI 10.1136/bmjopen-2016-011243
Citations Scopus - 4Web of Science - 3
2016 Stanton R, Guertler D, Duncan MJ, Vandelanotte C, 'Agreement between activPAL3c accelerometers placed at different thigh positions', GAIT & POSTURE, 48 230-236 (2016) [C1]
DOI 10.1016/j.gaitpost.2016.06.013
2016 Schoeppe S, Alley S, Van Lippevelde W, Bray NA, Williams SL, Duncan MJ, Vandelanotte C, 'Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: A systematic review', International Journal of Behavioral Nutrition and Physical Activity, 13 (2016) [C1]

© 2016 The Author(s). Background: Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but t... [more]

© 2016 The Author(s). Background: Health and fitness applications (apps) have gained popularity in interventions to improve diet, physical activity and sedentary behaviours but their efficacy is unclear. This systematic review examined the efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour in children and adults. Methods: Systematic literature searches were conducted in five databases to identify papers published between 2006 and 2016. Studies were included if they used a smartphone app in an intervention to improve diet, physical activity and/or sedentary behaviour for prevention. Interventions could be stand-alone interventions using an app only, or multi-component interventions including an app as one of several intervention components. Outcomes measured were changes in the health behaviours and related health outcomes (i.e., fitness, body weight, blood pressure, glucose, cholesterol, quality of life). Study inclusion and methodological quality were independently assessed by two reviewers. Results: Twenty-seven studies were included, most were randomised controlled trials (n = 19; 70%). Twenty-three studies targeted adults (17 showed significant health improvements) and four studies targeted children (two demonstrated significant health improvements). Twenty-one studies targeted physical activity (14 showed significant health improvements), 13 studies targeted diet (seven showed significant health improvements) and five studies targeted sedentary behaviour (two showed significant health improvements). More studies (n = 12; 63%) of those reporting significant effects detected between-group improvements in the health behaviour or related health outcomes, whilst fewer studies (n = 8; 42%) reported significant within-group improvements. A larger proportion of multi-component interventions (8 out of 13; 62%) showed significant between-group improvements compared to stand-alone app interventions (5 out of 14; 36%). Eleven studies reported app usage statistics, and three of them demonstrated that higher app usage was associated with improved health outcomes. Conclusions: This review provided modest evidence that app-based interventions to improve diet, physical activity and sedentary behaviours can be effective. Multi-component interventions appear to be more effective than stand-alone app interventions, however, this remains to be confirmed in controlled trials. Future research is needed on the optimal number and combination of app features, behaviour change techniques, and level of participant contact needed to maximise user engagement and intervention efficacy.

DOI 10.1186/s12966-016-0454-y
Citations Scopus - 10Web of Science - 8
2016 Granger D, Vandelanotte C, Duncan MJ, Alley S, Schoeppe S, Short C, Rebar A, 'Is preference for mHealth intervention delivery platform associated with delivery platform familiarity?', BMC PUBLIC HEALTH, 16 (2016) [C1]
DOI 10.1186/s12889-016-3316-2
Citations Scopus - 2Web of Science - 2
2016 Pimm R, Vandelanotte C, Rhodes RE, Short C, Duncan MJ, Rebar AL, 'Cue Consistency Associated with Physical Activity Automaticity and Behavior', Behavioral Medicine, 42 248-253 (2016) [C1]
DOI 10.1080/08964289.2015.1017549
Citations Scopus - 3Web of Science - 4
2016 Duncan MJ, Vandelanotte C, Trost SG, Rebar AL, Rogers N, Burton NW, et al., 'Balanced: a randomised trial examining the efficacy of two self-monitoring methods for an app-based multi-behaviour intervention to improve physical activity, sitting and sleep in adults', BMC PUBLIC HEALTH, 16 (2016)
DOI 10.1186/s12889-016-3256-x
Citations Scopus - 1Web of Science - 1
2016 Schoeppe S, Tranter P, Duncan MJ, Curtis C, Carver A, Malone K, 'Australian children's independent mobility levels: secondary analyses of cross-sectional data between 1991 and 2012', Children's Geographies, 14 408-421 (2016) [C1]

© 2015 Taylor &amp; Francis. This study investigated changes in Australian children&apos;s independent mobility levels between1991 and 2012. Data from five cross-sectional stud... [more]

© 2015 Taylor & Francis. This study investigated changes in Australian children's independent mobility levels between1991 and 2012. Data from five cross-sectional studies conducted in 1991, 1993, 2010, 2011 and 2012 were analysed. Parent and child surveys were used to assess parental licences for independent mobility and actual independent mobility behaviour in children aged 8¿13 years. Findings show declines in the proportion of young children (=10 years of age) being allowed to travel home from school alone (1991: 68%, 1993: 50%, 2010: 43%, 2011: 45%, 2012: 31%) and travel on buses alone (1991: 31%, 1993: 15%, 2010: 8%, 2011: 6%, 2012: 9%). Furthermore, the proportion of children travelling independently to school decreased (1991: 61%, 1993: 42%, 2010: 31%, 2011: 32%, 2012: 32%). Significantly fewer girls than boys travelled independently to school at each time point (p =.001). Overall, the findings suggest that Australian children's independent mobility levels declined between 1991 and 2012.

DOI 10.1080/14733285.2015.1082083
Citations Scopus - 1Web of Science - 4
2016 Duncan MJ, Kline CE, Rebar AL, Vandelanotte C, Short CE, 'Greater bed- and wake-time variability is associated with less healthy lifestyle behaviors: a cross-sectional study', Journal of Public Health (Germany), 24 31-40 (2016) [C1]

© 2015, Springer-Verlag Berlin Heidelberg. Aim: This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical acti... [more]

© 2015, Springer-Verlag Berlin Heidelberg. Aim: This study examines associations between the variability in bed/rise times, usual bed/rise time and dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and a composite index of behaviors. Subject and methods: A random sample of Australian adults drawn from an online Panel cohort in 2013 completed a cross-sectional online survey. A total of 1,317 participants, median age 57 (IQR = 20) completed the survey. Bed- and wake times, variability in bed- and wake-times, dietary quality, physical activity, alcohol consumption, sitting time, sleep insufficiency and socio-demographics were assessed using a questionnaire. Associations were examined with generalized linear models. Results: Having bed - times that varied by > 30¿min were associated with lower dietary quality, higher alcohol consumption, higher sitting time, more frequent insufficient sleep and poorer overall pattern of lifestyle behaviors. Greater variability in wake times, usual bed times and usual wake times were inconsistently associated with lifestyle behaviours. Conclusions: Greater bed-time variability is associated with a less healthy pattern of lifestyle behaviors. Greater consistency in sleep timing may contribute to, or be reflective of, a healthier lifestyle.

DOI 10.1007/s10389-015-0693-4
Citations Scopus - 1Web of Science - 1
2016 Rebar AL, Boles C, Burton N, Duncan MJ, Short CE, Happell B, et al., 'Healthy mind, healthy body: A randomized trial testing the efficacy of a computer-tailored vs. interactive web-based intervention for increasing physical activity and reducing depressive symptoms', Mental Health and Physical Activity, 11 29-37 (2016) [C1]

© 2016 Elsevier Ltd Physical activity is an effective primary or adjunctive treatment to reduce depressive symptoms. Computer-tailored and interactive web-based physical activity... [more]

© 2016 Elsevier Ltd Physical activity is an effective primary or adjunctive treatment to reduce depressive symptoms. Computer-tailored and interactive web-based physical activity interventions are potentially effective and accessible means for promoting physical activity, but little evidence exists regarding their efficacy in reducing depressive symptoms. We conducted a 2-arm randomised trial to compare the efficacy of these web-based interventions for increasing physical activity and reducing depressive symptoms. Participants (18 years or older and had no health condition limiting physical activity) were randomised to have access to a web-based physical activity intervention program with either computer-tailored advice (MyPAA) or interactive features (Walk 2.0). Only half of participants accessed the website at least once (MyPAA: allocated n¿=¿252, accessed program n¿=¿154, 61.1%; Walk 2.0: allocated n¿=¿262, accessed program n¿=¿120, 45.8%). Participants and the research team were blinded to group assignment. There were no significant between-group differences in change of self-reported physical activity or depressive symptoms. Physical activity significantly increased from baseline to one month (g¿=¿0.21) and three months (g¿=¿0.20), and depressive symptoms significantly decreased from baseline to one month (g¿=¿0.36) and three months (g¿=¿0.42). People who visited the website more and for longer had larger changes in physical activity and depressive symptoms than those who visited less. Web-based interventions with computer-tailoring and interactive features show promise as a method for increasing physical activity and reducing depressive symptoms, particularly for those who engage with the program. Trial registration Australian New Zealand Clinical Trials Registry ACTRN12613001215718.

DOI 10.1016/j.mhpa.2016.08.001
2016 Caperchione CM, Duncan MJ, Rosenkranz RR, Vandelanotte C, Van Itallie AK, Savage TN, et al., 'Recruitment, screening, and baseline participant characteristics in the WALK 2.0 study: A randomized controlled trial using web 2.0 applications to promote physical activity', Contemporary Clinical Trials Communications, 2 25-33 (2016) [C1]

© 2016 The Authors. Objective To describe in detail the recruitment methods and enrollment rates, the screening methods, and the baseline characteristics of a sample of adults pa... [more]

© 2016 The Authors. Objective To describe in detail the recruitment methods and enrollment rates, the screening methods, and the baseline characteristics of a sample of adults participating in the Walk 2.0 Study, an 18 month, 3-arm randomized controlled trial of a Web 2.0 based physical activity intervention. Methods A two-fold recruitment plan was developed and implemented, including a direct mail-out to an extract from the Australian Electoral Commission electoral roll, and other supplementary methods including email and telephone. Physical activity screening involved two steps: a validated single-item self-report instrument and the follow-up Active Australia Questionnaire. Readiness for physical activity participation was also based on a two-step process of administering the Physical Activity Readiness Questionnaire and, where needed, further clearance from a medical practitioner. Results Across all recruitment methods, a total of 1244 participants expressed interest in participating, of which 656 were deemed eligible. Of these, 504 were later enrolled in the Walk 2.0 trial (77% enrollment rate) and randomized to the Walk 1.0 group (n = 165), the Walk 2.0 group (n = 168), or the Logbook group (n = 171). Mean age of the total sample was 50.8 years, with 65.2% female and 79.1% born in Australia. Conclusion The results of this recruitment process demonstrate the successful use of multiple strategies to obtain a diverse sample of adults eligible to take part in a web-based physical activity promotion intervention. The use of dual screening processes ensured safe participation in the intervention. This approach to recruitment and physical activity screening can be used as a model for further trials in this area.

DOI 10.1016/j.conctc.2015.12.004
Citations Scopus - 3Web of Science - 3
2016 Short CE, Hayman M, Rebar A, Gunn K, De Cocker K, Duncan MJJ, et al., 'Physical activity recommendations from general practitioners in Australia. Results from a national survey', Australian & New Zealand Journal of Public Health, 40 83-90 (2016) [C1]
DOI 10.1111/1753-6405.12455
Citations Scopus - 5Web of Science - 7
2016 Duncan MJ, Rosenkranz RR, Vandelanotte C, Caperchione CM, Rebar AL, Maeder AJ, et al., 'What is the impact of obtaining medical clearance to participate in a randomised controlled trial examining a physical activity intervention on the socio-demographic and risk factor profiles of included participants?', TRIALS, 17 (2016) [C1]
DOI 10.1186/s13063-016-1715-4
Citations Scopus - 2Web of Science - 2
2016 Nikoloudakis IA, Vandelanotte C, Rebar AL, Schoeppe S, Alley S, Duncan MJ, Short CE, 'Examining the Correlates of Online Health Information-Seeking Behavior Among Men Compared With Women.', American journal of men's health, (2016)
2016 James E, Freund M, Booth A, Duncan MJ, Johnson N, Short CE, et al., 'Comparative efficacy of simultaneous versus sequential multiple health behavior change interventions among adults: A systematic review of randomised trials', Preventive Medicine, 89 211-223 (2016) [C1]

© 2016. Background: Growing evidence points to the benefits of addressing multiple health behaviors rather than single behaviors. Purpose: This review evaluates the relative effe... [more]

© 2016. Background: Growing evidence points to the benefits of addressing multiple health behaviors rather than single behaviors. Purpose: This review evaluates the relative effectiveness of simultaneous and sequentially delivered multiple health behavior change (MHBC) interventions. Secondary aims were to identify: a) the most effective spacing of sequentially delivered components; b) differences in efficacy of MHBC interventions for adoption/cessation behaviors and lifestyle/addictive behaviors, and c) differences in trial retention between simultaneously and sequentially delivered interventions. Methods: MHBC intervention trials published up to October 2015 were identified through a systematic search. Eligible trials were randomised controlled trials that directly compared simultaneous and sequential delivery of a MHBC intervention. A narrative synthesis was undertaken. Results: Six trials met the inclusion criteria and across these trials the behaviors targeted were smoking, diet, physical activity, and alcohol consumption. Three trials reported a difference in intervention effect between a sequential and simultaneous approach in at least one behavioral outcome. Of these, two trials favoured a sequential approach on smoking. One trial favoured a simultaneous approach on fat intake. There was no difference in retention between sequential and simultaneous approaches. Conclusions: There is limited evidence regarding the relative effectiveness of sequential and simultaneous approaches. Given only three of the six trials observed a difference in intervention effectiveness for one health behavior outcome, and the relatively consistent finding that the sequential and simultaneous approaches were more effective than a usual/minimal care control condition, it appears that both approaches should be considered equally efficacious. PROSPERO registration number: CRD42015027876.

DOI 10.1016/j.ypmed.2016.06.012
Citations Scopus - 4Web of Science - 3
Co-authors Erica James, Angela Booth, Luke Wolfenden, Frances Kaylambkin, Natalie Johnson
2015 Vandelanotte C, Stanton R, Rebar AL, Van Itallie AK, Caperchione CM, Duncan MJ, et al., 'Physical activity screening to recruit inactive randomized controlled trial participants: how much is too much?', TRIALS, 16 (2015) [C1]
DOI 10.1186/s13063-015-0976-7
Citations Scopus - 4Web of Science - 4
2015 Batacan RB, Duncan MJ, Dalbo VJ, Tucker PS, Fenning AS, 'Effects of Light Intensity Activity on CVD Risk Factors: A Systematic Review of Intervention Studies', BIOMED RESEARCH INTERNATIONAL, (2015) [C1]
DOI 10.1155/2015/596367
Citations Scopus - 4Web of Science - 1
2015 Rebar AL, Stanton R, Geard D, Short C, Duncan MJ, Vandelanotte C, 'A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations', Health Psychology Review, 9 366-378 (2015) [C1]

© 2015 Taylor &amp; Francis. Amidst strong efforts to promote the therapeutic benefits of physical activity for reducing depression and anxiety in clinical populations, little ... [more]

© 2015 Taylor & Francis. Amidst strong efforts to promote the therapeutic benefits of physical activity for reducing depression and anxiety in clinical populations, little focus has been directed towards the mental health benefits of activity for non-clinical populations. The objective of this meta-meta-analysis was to systematically aggregate and quantify high-quality meta-analytic findings of the effects of physical activity on depression and anxiety for non-clinical populations. A systematic search identified eight meta-analytic outcomes of randomised trials that investigated the effects of physical activity on depression or anxiety. The subse quent meta-meta-analyses were based on a total of 92 studies with 4310 participants for the effect of physical activity on depression and 306 study effects with 10,755 participants for the effect of physical activity on anxiety. Physical activity reduced depression by a medium effect [standardised mean difference (SMD) = -0.50; 95% CI: -0.93 to -0.06] and anxiety by a small effect (SMD = -0.38; 95% CI: -0.66 to -0.11). Neither effect showed significant heterogeneity across meta-analyses. These findings represent a comprehensive body of high-quality evidence that physical activity reduces depression and anxiety in non-clinical populations.

DOI 10.1080/17437199.2015.1022901
Citations Scopus - 40Web of Science - 27
2015 Guertler D, Vandelanotte C, Short C, Alley S, Schoeppe S, Duncan MJ, 'The Association Between Physical Activity, Sitting Time, Sleep Duration, and Sleep Quality as Correlates of Presenteeism', JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 57 321-328 (2015) [C1]
DOI 10.1097/JOM.0000000000000355
Citations Scopus - 6Web of Science - 6
2015 Vandelanotte C, Short C, Plotnikoff RC, Hooker C, Canoy D, Rebar A, et al., 'TaylorActive - Examining the effectiveness of web-based personally-tailored videos to increase physical activity: A randomised controlled trial protocol', BMC Public Health, (2015) [C3]

Background: Physical inactivity levels are unacceptably high and effective interventions that can increase physical activity in large populations at low cost are urgently needed. ... [more]

Background: Physical inactivity levels are unacceptably high and effective interventions that can increase physical activity in large populations at low cost are urgently needed. Web-based interventions that use computer-tailoring have shown to be effective, though people tend to 'skim' and 'scan' text on the Internet rather than thoroughly read it. The use of online videos is, however, popular and engaging. Therefore, the aim of this 3-group randomised controlled trial is to examine whether a web-based physical activity intervention that provides personally-tailored videos is more effective when compared with traditional personally-tailored text-based intervention and a control group. Methods/design: In total 510 Australians will be recruited through social media advertisements, e-mail and third party databases. Participants will be randomised to one of three groups: text-tailored, video-tailored, or control. All groups will gain access to the same web-based platform and a library containing brief physical activity articles. The text-tailored group will additionally have access to 8 sessions of personalised physical activity advice that is instantaneously generated based on responses to brief online surveys. The theory-based advice will be provided over a period of 3 months and address constructs such as self-efficacy, motivation, goal setting, intentions, social support, attitudes, barriers, outcome expectancies, relapse prevention and feedback on performance. Text-tailored participants will also be able to complete 7 action plans to help them plan what, when, where, who with, and how they will become more active. Participants in the video-tailored group will gain access to the same intervention content as those in the text-tailored group, however all sessions will be provided as personalised videos rather than text on a webpage. The control group will only gain access to the library with generic physical activity articles. The primary outcome is objectively measured physical activity. Secondary outcomes include website engagement and retention, quality of life, depression, anxiety, stress, sitting time, sleep and psychosocial correlates of physical activity. Outcomes will be measured at baseline, 3, and 9 months. Discussion: This study presents an ideal opportunity to study the effectiveness of an isolated feature within a web-based physical activity intervention and the knowledge generated from this study will help to increase intervention effectiveness. Trial registration: Australian New-Zealand Clinical Trial Registry: ACTRN12615000057583. Registered 22 January 2015.

DOI 10.1186/s12889-015-2363-4
Citations Scopus - 4Web of Science - 4
Co-authors Ron Plotnikoff
2015 Batacan RB, Duncan MJ, Dalbo VJ, Buitrago GL, Fenning AS, 'Effect of different intensities of physical activity on cardiometabolic markers and vascular and cardiac function in adult rats fed with a high-fat high-carbohydrate diet', Journal of Sport and Health Science, (2015)

© 2017. Background: Physical activity (PA) and diet are 2 lifestyle factors that affect cardiometabolic risk. However, data on how a high-fat high-carbohydrate (HFHC) diet influe... [more]

© 2017. Background: Physical activity (PA) and diet are 2 lifestyle factors that affect cardiometabolic risk. However, data on how a high-fat high-carbohydrate (HFHC) diet influences the effect of different intensities of PA on cardiometabolic health and cardiovascular function in a controlled setting are yet to be fully established. This study investigated the effect of sedentary behavior, light-intensity training, and high-intensity interval training on cardiometabolic markers and vascular and cardiac function in HFHC-fed adult rats. Methods: Twelve-week-old Wistar rats were randomly allocated to 4 groups (12 rats/group): control (CTL), sedentary (SED), light-intensity training (LIT), and high-intensity interval training (HIIT). Biometric indices, glucose and lipid control, inflammatory and oxidative stress markers, vascular reactivity, and cardiac electrophysiology of the experimental groups were examined after 12 weeks of HFHC-diet feeding and PA interventions. Results: The SED group had slower cardiac conduction (p = 0.0426) and greater thoracic aortic contractile responses (p < 0.05) compared with the CTL group. The LIT group showed improved cardiac conduction compared with the SED group (p = 0.0003), and the HIIT group showed decreased mesenteric artery contractile responses compared with all other groups and improved endothelium-dependent mesenteric artery relaxation compared with the LIT group (p < 0.05). The LIT and HIIT groups had lower visceral (p = 0.0057 for LIT, p = 0.0120 for HIIT) and epididymal fat (p < 0.0001 for LIT, p = 0.0002 for HIIT) compared with the CTL group. Conclusion: LIT induced positive adaptations on fat accumulation and cardiac conduction, and HIIT induced a positive effect on fat accumulation, mesenteric artery contraction, and endothelium-dependent relaxation. No other differences were observed between groups. These findings suggest that few positive health effects can be achieved through LIT and HIIT when consuming a chronic and sustained HFHC diet.

DOI 10.1016/j.jshs.2016.08.001
2015 Rosenkranz RR, Duncan MJ, Caperchione CM, Kolt GS, Vandelanotte C, Maeder AJ, et al., 'Validity of the Stages of Change in Steps instrument (SoC-Step) for achieving the physical activity goal of 10,000 steps per day', BMC Public Health, 15 (2015) [C1]

© 2015 Rosenkranz et al. Background: Physical activity (PA) offers numerous benefits to health and well-being, but most adults are not sufficiently physically active to afford su... [more]

© 2015 Rosenkranz et al. Background: Physical activity (PA) offers numerous benefits to health and well-being, but most adults are not sufficiently physically active to afford such benefits. The 10,000 steps campaign has been a popular and effective approach to promote PA. The Transtheoretical Model posits that individuals have varying levels of readiness for health behavior change, known as Stages of Change (Precontemplation, Contemplation, Preparation, Action, and Maintenance). Few validated assessment instruments are available for determining Stages of Change in relation to the PA goal of 10,000 steps per day. The purpose of this study was to assess the criterion-related validity of the SoC-Step, a brief 10,000 steps per day Stages of Change instrument. Methods: Participants were 504 Australian adults (176 males, 328 females, mean age = 50.8 ± 13.0 years) from the baseline sample of the Walk 2.0 randomized controlled trial. Measures included 7-day accelerometry (Actigraph GT3X), height, weight, and self-reported intention, self-efficacy, and SoC-Step: Stages of Change relative to achieving 10,000 steps per day. Kruskal-Wallis H tests with pairwise comparisons were used to determine whether participants differed by stage, according to steps per day, general health, body mass index, intention, and self-efficacy to achieve 10,000 steps per day. Binary logistic regression was used to test the hypothesis that participants in Maintenance or Action stages would have greater likelihood of meeting the 10,000 steps goal, in comparison to participants in the other three stages. Results: Consistent with study hypotheses, participants in Precontemplation had significantly lower intention scores than those in Contemplation (p = 0.003) or Preparation (p < 0.001). Participants in Action or Maintenance stages were more likely to achieve =10,000 steps per day (OR = 3.11; 95 % CI = 1.66,5.83) compared to those in Precontemplation, Contemplation, or Preparation. Intention (p < 0.001) and self-efficacy (p < 0.001) to achieve 10,000 steps daily differed by stage, and participants in the Maintenance stage had higher general health status and lower body mass index than those in Precontemplation, Contemplation and Preparation stages (p < 0.05). Conclusions: This brief SoC-Step instrument appears to have good criterion-related validity for determining Stages of Change related to the public health goal of 10,000 steps per day. Trial registration: Australian New Zealand Clinical Trials Registry reference: ACTRN12611000157976 World Health Organization Universal Trial Number: U111-1119-1755.

DOI 10.1186/s12889-015-2539-y
Citations Scopus - 2Web of Science - 3
2015 Hodgetts D, Duncan MJ, 'Quantitative analysis of sport development event legacy: an examination of the Australian Surf Life Saving Championships', European Sport Management Quarterly, 15 364-380 (2015) [C1]
DOI 10.1080/16184742.2015.1021824
Citations Web of Science - 1
2015 Duncan MJ, Short C, Rashid M, Cutumisu N, Vandelanotte C, Plotnikoff RC, 'Identifying correlates of breaks in occupational sitting: A cross-sectional study', Building Research and Information, 43 646-658 (2015) [C1]

© 2015 Taylor &amp; Francis. Office workers are commonly targeted in interventions to modify their sitting behaviour, yet there is limited evidence of the correlates of breaks ... [more]

© 2015 Taylor & Francis. Office workers are commonly targeted in interventions to modify their sitting behaviour, yet there is limited evidence of the correlates of breaks in sitting to inform intervention development. This study identifies the individual, workplace and spatial configuration correlates of the frequency of breaks in sitting (number/hour) in office workers (n = 5531) stratified by office type (private-enclosed, shared, open plan). All behaviours and potential correlates were measured via self-report using an online cross-sectional survey. Regression analyses revealed age was the only socio-demographic characteristic associated with frequency of breaks in sitting in all office types. Greater job autonomy and local connectivity were positively associated with frequency of breaks in sitting in shared and open-plan offices. In open-plan offices co-worker proximity was negatively associated with frequency of breaks in sitting. Co-worker visibility was positively associated with frequency of breaks in sitting in all office types. This study demonstrates that individual, workplace and spatial configuration factors are all associated with the frequency of breaks in sitting and that these relationships differ by office type. These observations extend prior studies that have only examined correlates at a single level (e.g. the individual). This evidence could be useful to guide future interventions in the design of workplaces to increase breaks in sitting and workers physical activity.

DOI 10.1080/09613218.2015.1045712
Citations Scopus - 4Web of Science - 5
Co-authors Ron Plotnikoff
2015 Schoeppe S, Duncan MJJ, Badland HM, Alley S, Williams S, Rebar AL, Vandelanotte C, 'Socio-demographic factors and neighbourhood social cohesion influence adults' willingness to grant children greater independent mobility: A cross-sectional study', BMC Public Health, 15 1-8 (2015) [C1]
Citations Scopus - 7Web of Science - 4
2015 Vandelanotte C, Short C, Rockloff M, Di Millia L, Ronan K, Happell B, Duncan MJ, 'How do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?', JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 12 200-207 (2015)
DOI 10.1123/jpah.2013-0098
Citations Scopus - 9Web of Science - 8
2015 Guertler D, Vandelanotte C, Kirwan M, Duncan MJJ, 'Engagement and non-usage attrition with a free physical activity promotion program: The case of 10,000 Steps Australia', Journal of Medical Internet Research, 17 1-14 (2015) [C1]
DOI 10.2196/jmir.4339
Citations Scopus - 12Web of Science - 11
2015 Schoeppe S, Duncan MJ, Badland HM, Oliver M, Browne M, 'Associations between children's active travel and levels of physical activity and sedentary behavior', Journal of Transport and Health, 2 336-342 (2015) [C1]
DOI 10.1016/j.jth.2015.05.001
Citations Scopus - 7Web of Science - 7
2015 Hemmis L, de Vries H, Vandelanotte C, Short CE, Duncan MJ, Burton NW, Rebar AL, 'Depressive symptoms associated with psychological correlates of physical activity and perceived helpfulness of intervention features', MENTAL HEALTH AND PHYSICAL ACTIVITY, 9 16-23 (2015) [C1]
DOI 10.1016/j.mhpa.2015.08.001
2014 Short CE, Vandelanotte C, Dixon MW, Rosenkranz R, Caperchione C, Hooker C, et al., 'Examining participant engagement in an information technology-based physical activity and nutrition intervention for men: The manup randomized controlled trial', Journal of Medical Internet Research, 16 (2014)
Citations Scopus - 16Web of Science - 15
2014 Rebar AL, Vandelanotte C, van Uffelen J, Short C, Duncan MJ, 'Associations of overall sitting time and sitting time in different contexts with depression, anxiety, and stress symptoms', MENTAL HEALTH AND PHYSICAL ACTIVITY, 7 105-110 (2014)
DOI 10.1016/j.mhpa.2014.02.004
Citations Scopus - 11Web of Science - 10
2014 van Waveren A, Duncan MJ, Coulson FR, Fenning A, 'Moderate intensity physical activity prevents increased blood glucose concentrations, fat pad deposition and cardiac action potential prolongation following diet-induced obesity in a juvenile-adolescent rat model', BMC Obesity, 1 (2014)
DOI 10.1186/2052-9538-1-11
2014 Short CE, James EL, Vandelanotte C, Courneya KS, Duncan MJ, Rebar A, Plotnikoff RC, 'Correlates of resistance training in post-treatment breast cancer survivors', SUPPORTIVE CARE IN CANCER, 22 2757-2766 (2014) [C1]
DOI 10.1007/s00520-014-2273-5
Citations Scopus - 7Web of Science - 7
Co-authors Erica James, Ron Plotnikoff
2014 Short CE, Vandelanotte C, Rebar A, Duncan MJ, 'A Comparison of Correlates Associated With Adult Physical Activity Behavior in Major Cities and Regional Settings', HEALTH PSYCHOLOGY, 33 1319-1327 (2014)
DOI 10.1037/hea0000027
Citations Scopus - 3Web of Science - 3
2014 Stanton R, Guertler D, Duncan MJ, Vandelanotte C, 'Validation of a pouch-mounted activPAL3 accelerometer', GAIT & POSTURE, 40 688-693 (2014)
DOI 10.1016/j.gaitpost.2014.07.024
Citations Scopus - 5Web of Science - 5
2014 Caperchione CM, Kolt GS, Savage TN, Rosenkranz RR, Maeder AJ, Vandelanotte C, et al., 'WALK 2.0: Examining the effectiveness of Web 2.0 features to increase physical activity in a 'real world' setting: an ecological trial', BMJ OPEN, 4 (2014) [C3]
DOI 10.1136/bmjopen-2014-006374
Citations Scopus - 3Web of Science - 8
2014 Brunker AS, Nguyen QV, Maeder AJ, Tague R, Kolt GS, Savage TN, et al., 'A time-based visualization for web user classification in social networks', ACM International Conference Proceeding Series, 2014-August 9-18 (2014)

Copyright 2014 ACM. This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visuali... [more]

Copyright 2014 ACM. This paper presents a new visual analytics framework for analyzing health-related physical activity data. Existing techniques mostly rely on node-links visualizations to represent the usage patterns as social networks. This work takes a different approach that provides interactive scatter-plot visualizations on classified and time-based data. By providing a flexible visualization that can provide different angles on the multidimensional and classified data, the analyst could have better understanding and insight on web user behavior compared to the traditional social network methods. The effectiveness of our method has been demonstrated with a case study on an online portal system for tracking passiv e physical activity, called Walk 2.0.

DOI 10.1145/2636240.2636842
2014 Caperchione CM, Kolt GS, Savage TN, Rosenkranz RR, Maeder AJ, Vandelanotte C, et al., 'WALK 2.0: Examining the effectiveness of Web 2.0 features to increase physical activity in a 'real world' setting: An ecological trial', BMJ Open, 4 (2014)

Introduction Low levels of healthenhancing physical activity require novel approaches that have the potential to reach broad populations. Webbased interventions are a popular appr... [more]

Introduction Low levels of healthenhancing physical activity require novel approaches that have the potential to reach broad populations. Webbased interventions are a popular approach for behaviour change given their wide reach and accessibility. However, challenges with participant engagement and retention reduce the longterm maintenance of behaviour change. Web 2.0 features present a new and innovative online environment supporting greater interactivity, with the potential to increase engagement and retention. In order to understand the applicability of these innovative interventions for the broader population, 'realworld' interventions implemented under 'everyday conditions' are required. The aim of this study is to investigate the difference in physical activity behaviour between individuals using a traditional Web 1.0 website with those using a novel Web 2.0 website.

DOI 10.1136/bmjopen2014006374
Citations Scopus - 1
2014 Schoeppe S, Oliver M, Badland HM, Burke M, Duncan MJ, 'Recruitment and Retention of Children in Behavioral Health Risk Factor Studies: REACH Strategies', INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE, 21 794-803 (2014)
DOI 10.1007/s12529-013-9347-5
Citations Scopus - 15Web of Science - 16
2014 Vandelanotte C, Kirwan M, Rebar A, Alley S, Short C, Fallon L, et al., 'Examining the use of evidence-based and social media supported tools in freely accessible physical activity intervention websites', INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 11 (2014)
DOI 10.1186/s12966-014-0105-0
Citations Scopus - 8Web of Science - 9
2014 Duncan M, Vandelanotte C, Kolt GS, Rosenkranz RR, Caperchione CM, George ES, et al., 'Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-Aged males: Randomized controlled trial of the manup study', Journal of Medical Internet Research, 16 1-21 (2014) [C1]
DOI 10.2196/jmir.3107
Citations Scopus - 35
2014 Duncan MJ, Kline CE, Vandelanotte C, Sargent C, Rogers NL, Di Milia L, 'Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 steps cohort', PLoS ONE, 9 1-9 (2014) [C1]
DOI 10.1371/journal.pone.0094184
Citations Scopus - 12Web of Science - 10
2014 Schoeppe S, Duncan MJ, Badland HM, Oliver M, Browne M, 'Associations between children's independent mobility and physical activity', BMC Public Health, 14 (2014)
Citations Scopus - 16Web of Science - 17
2014 Stanton R, Vandelanotte C, Duncan MJ, 'Interdevice baseline signal magnitude variability of the ActivPAL3 activity monitor', Gait and Posture, 39 618-620 (2014)
2014 Short CE, Vandelanotte C, Duncan MJ, 'Individual characteristics associated with physical activity intervention delivery mode preferences among adults', International Journal of Behavioral Nutrition and Physical Activity, 11 (2014)
Citations Scopus - 15Web of Science - 13
2014 Duncan MJ, Gilson N, Vandelanotte C, 'Which population groups are most unaware of CVD risks associated with sitting time?', Preventive Medicine, 65 103-108 (2014)
Citations Scopus - 3Web of Science - 4
2014 De Cocker K, Duncan MJ, Short C, van Uffelen JGZ, Vandelanotte C, 'Understanding occupational sitting: Prevalence, correlates and moderating effects in Australian employees', PREVENTIVE MEDICINE, 67 288-294 (2014) [C1]
DOI 10.1016/j.ypmed.2014.07.031
Citations Scopus - 24Web of Science - 23
2014 Rebar AL, Duncan MJ, Short C, Vandelanotte C, 'Differences in health-related quality of life between three clusters of physical activity, sitting time, depression, anxiety, and stress', BMC PUBLIC HEALTH, 14 (2014) [C1]
DOI 10.1186/1471-2458-14-1088
Citations Scopus - 4Web of Science - 3
2013 Duncan S, Stewart TI, Oliver M, Mavoa S, MacRae D, Badland HM, Duncan MJ, 'Portable global positioning system receivers: Static validity and environmental conditions', American Journal of Preventive Medicine, 44 e19-e29 (2013)
Citations Scopus - 40
2013 Ding H, Karunanithi M, Duncan MJJ, Ireland D, Noakes M, Hooker C, 'A mobile phone enabled health promotion program for middle-aged males', Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society., 1 (2013)
2013 Vandelanotte C, Duncan MJ, Short C, Rockloff M, Ronan K, Happell B, Di Milia L, 'Associations between occupational indicators and total, work-based and leisure-time sitting: A cross-sectional study', BMC Public Health, 13 (2013)
Citations Scopus - 29Web of Science - 28
2013 Kolt GS, Rosenkranz RR, Savage TN, Maeder AJ, Vandelanotte C, Duncan MJ, et al., 'WALK 2.0 - Using Web 2.0 applications to promote health-related physical activity: A randomised controlled trial protocol', BMC Public Health, 13 (2013)
Citations Scopus - 23Web of Science - 17
2013 Rosenkranz RR, Duncan MJ, Rosenkranz SK, Kolt GS, 'Active lifestyles related to excellent self-rated health and quality of life: Cross sectional findings from 194,545 participants in the 45 and Up Study', BMC Public Health, 13 (2013)
Citations Scopus - 26Web of Science - 18
2013 Kirwan M, Duncan MJ, Vandelanotte C, Mummery WK, 'Design, Development, and Formative Evaluation of a Smartphone Application for Recording and Monitoring Physical Activity Levels: The 10,000 Steps "iStepLog"', Health Education and Behavior, 40 140-151 (2013)
Citations Scopus - 12Web of Science - 15
2013 Clark RA, Tideman P, Tirimacco R, Wanguhu K, Poulsen V, Simpson P, et al., 'A Pilot Study of the Feasibility of an Internet-based Electronic Outpatient Cardiac Rehabilitation (eOCR) Program in Rural Primary Care', Heart Lung and Circulation, 22 352-359 (2013)
Citations Scopus - 7Web of Science - 9
2013 Vandelanotte C, Caperchione CM, Ellison M, George ES, Maeder A, Kolt GS, et al., 'What kinds of website and mobile phone-delivered physical activity and nutrition interventions do middle-aged men want?', Journal of Health Communication, 18 1070-1083 (2013)
Citations Scopus - 18Web of Science - 18
2013 Kirwan M, Vandelanotte C, Fenning A, Duncan MJ, 'Diabetes self-management smartphone application for adults with type 1 diabetes: Randomized controlled trial', Journal of Medical Internet Research, 15 (2013)
Citations Scopus - 69Web of Science - 68
2013 Hanley C, Duncan MJ, Mummery WK, 'The effect of changes to question order on the prevalence of 'sufficient' physical activity in an Australian population survey', Journal of Physical Activity and Health, 10 390-396 (2013)
2013 Schoeppe S, Duncan MJ, Badland H, Oliver M, Curtis C, 'Associations of children's independent mobility and active travel with physical activity, sedentary behaviour and weight status: A systematic review', Journal of Science and Medicine in Sport, 16 312-319 (2013)
Citations Scopus - 68Web of Science - 66
2013 Di Milia L, Vandelanotte C, Duncan MJ, 'The association between short sleep and obesity after controlling for demographic, lifestyle, work and health related factors', Sleep Medicine, 14 319-323 (2013)
Citations Scopus - 21Web of Science - 25
2013 Duncan S, Stewart TI, Oliver M, Mavoa S, MacRae D, Badland HM, Duncan MJ, 'Portable Global Positioning System Receivers', American Journal of Preventive Medicine, 44 e19-e29 (2013)
DOI 10.1016/j.amepre.2012.10.013
2013 Di Milia L, Vandelannote C, Duncan MJ, 'Letter to the Editor [response]', Sleep Medicine, (2013)
DOI 10.1016/j.sleep.2013.03.007
2013 Duncan MJ, Rashid M, Vandelanotte C, Cutumisu N, Plotnikoff RC, 'Development and reliability testing of a self-report instrument to measure the office layout as a correlate of occupational sitting', INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 10 (2013) [C1]
DOI 10.1186/1479-5868-10-16
Citations Scopus - 13Web of Science - 12
Co-authors Ron Plotnikoff
2012 Caperchione CM, Vandelanotte C, Kolt GS, Duncan M, Ellison M, George E, Mummery WK, 'What a Man Wants: Understanding the Challenges and Motivations to Physical Activity Participation and Healthy Eating in Middle-Aged Australian Men', American Journal of Men's Health, 6 453-461 (2012)
Citations Scopus - 28Web of Science - 26
2012 Davies C, Duncan MJ, Vandelanotte C, Hall S, Corry K, Hooker C, 'Exploring the feasibility of implementing a pedometer-based physical activity program in primary school settings: A case study of 10,000 steps', Health Promotion Journal of Australia, 23 141-144 (2012)
Citations Scopus - 1
2012 Kirwan M, Duncan MJ, Vandelanotte C, Kerry Mummery W, 'Using smartphone technology to monitor physical activity in the 10,000 steps program: A matched case-control trial', Journal of Medical Internet Research, 14 176-185 (2012)
2012 Duncan MJ, Vandelanotte C, Caperchione C, Hanley C, Mummery WK, 'Temporal trends in and relationships between screen time, physical activity, overweight and obesity', BMC Public Health, 12 (2012)
Citations Scopus - 25Web of Science - 23
2012 Duncan MJ, Vandelanotte C, Rosenkranz RR, Caperchione CM, Ding H, Ellison M, et al., 'Effectiveness of a website and mobile phone based physical activity and nutrition intervention for middle-aged males: trial protocol and baseline findings of the ManUp Study.', BMC public health, 12 656 (2012)
Citations Scopus - 19Web of Science - 16
2012 Davies CA, Vandelanotte C, Duncan MJ, van Uffelen JGZ, 'Associations of physical activity and screen-time on health related quality of life in adults', Preventive Medicine, 55 46-49 (2012)
Citations Scopus - 26Web of Science - 25
2012 Badland HM, Oliver M, Kearns RA, Mavoa S, Witten K, Duncan MJ, Batty GD, 'Association of neighbourhood residence and preferences with the built environment, work-related travel behaviours, and health implications for employed adults: Findings from the URBAN study', Social Science and Medicine, 75 1469-1476 (2012)
Citations Scopus - 18Web of Science - 17
2012 George ES, Kolt GS, Duncan MJ, Caperchione CM, Mummery WK, Vandelanotte C, et al., 'A review of the effectiveness of physical activity interventions for adult males', Sports Medicine, 42 281-300 (2012)
Citations Scopus - 39Web of Science - 42
2012 Vandelanotte C, Duncan MJ, Plotnikoff RC, Mummery WK, 'Do participants' preferences for mode of delivery (text, video, or both) influence the effectiveness of a web-based physical activity intervention?', Journal of Medical Internet Research, 14 e37-e37 (2012) [C1]
DOI 10.2196/jmir.1998
Citations Scopus - 16Web of Science - 14
Co-authors Ron Plotnikoff
2011 Badland HM, Oliver M, Duncan MJ, Schantzc P, 'Measuring children's independent mobility: Comparing objective and self-report approaches', Children's Geographies, 9 263-271 (2011)
Citations Scopus - 10
2011 Vandelanotte C, Duncan MJ, Hanley C, Mummery WK, 'Identifying population subgroups at risk for underestimating weight health risks and overestimating physical activity health benefits', Journal of Health Psychology, 16 760-769 (2011)
Citations Scopus - 13Web of Science - 12
2011 Caperchione C, Mummery WK, Duncan M, 'Investigating the relationship between leader behaviours and group cohesion within women's walking groups', Journal of Science and Medicine in Sport, 14 325-330 (2011)
Citations Scopus - 3
2010 Badland HM, Duncan MJ, Oliver M, Duncan JS, Mavoa S, 'Examining commute routes: Applications of GIS and GPS technology', Environmental Health and Preventive Medicine, 15 327-330 (2010)
Citations Scopus - 24
2010 Vandelanotte C, Duncan MJ, Caperchione C, Hanley C, Mummery WK, 'Physical activity trends in Queensland (2002 to 2008): Are women becoming more active than men?', Australian and New Zealand Journal of Public Health, 34 248-254 (2010)
Citations Scopus - 19Web of Science - 16
2010 Humphries B, Duncan MJ, Mummery WK, 'Prevalence and correlates of resistance training in a regional Australian population', British Journal of Sports Medicine, 44 653-656 (2010)
Citations Scopus - 21Web of Science - 19
2010 Duncan MJ, Badland HM, Mummery WK, 'Physical activity levels by occupational category in non-metropolitan australian adults', Journal of Physical Activity and Health, 7 718-723 (2010)
Citations Scopus - 25Web of Science - 27
2010 Oliver M, Badland H, Mavoa S, Duncan MJ, Duncan S, 'Combining GPS, GIS, and accelerometry: Methodological issues in the assessment of location and intensity of travel behaviors', Journal of Physical Activity and Health, 7 102-108 (2010)
Citations Scopus - 67Web of Science - 64
2010 Duncan MJ, Winkler E, Sugiyama T, Cerin E, Dutoit L, Leslie E, Owen N, 'Relationships of land use mix with walking for transport: Do land uses and geographical scale matter?', Journal of Urban Health, 87 782-795 (2010)
Citations Scopus - 58Web of Science - 53
2009 Badland HM, Duncan MJ, 'Perceptions of air pollution during the work-related commute by adults in Queensland, Australia', Atmospheric Environment, 43 5791-5795 (2009)
Citations Scopus - 20
2009 Badland HM, Duncan MJ, Schofield GM, 'Using census data to travel through time in New Zealand: Patterns in journey to work data 1981-2006', New Zealand Medical Journal, 122 15-20 (2009)
Citations Scopus - 3Web of Science - 2
2009 Duncan MJ, Badland HM, Mummery WK, 'Applying GPS to enhance understanding of transport-related physical activity', Journal of Science and Medicine in Sport, 12 549-556 (2009)
Citations Scopus - 82
2009 Duncan MJ, Mummery WK, Steele RM, Caperchione C, Schofield G, 'Geographic location, physical activity and perceptions of the environment in Queensland adults', Health and Place, 15 204-209 (2009)
Citations Scopus - 16Web of Science - 18
2008 Caperchione C, Lauder W, Kolt GS, Duncan MJ, Mummery WK, 'Associations between social capital and health status in an Australian population', Psychology, Health and Medicine, 13 471-482 (2008)
Citations Scopus - 7
2008 Caperchione CM, Duncan MJ, Mummery K, Steele R, Schofield G, 'Mediating relationship between body mass index and the direct measures of the Theory of Planned Behaviour on physical activity intention', Psychology, Health and Medicine, 13 168-179 (2008)
Citations Scopus - 17
2008 Duncan MJ, Kerry Mummery W, Kift RL, 'Geographical location and sunburn in Queensland adults', Australian Journal of Rural Health, 16 181-182 (2008)
Citations Scopus - 1Web of Science - 1
2008 Badland HM, Duncan MJ, Mummery WK, 'Travel perceptions, behaviors, and environment by degree of urbanization', Preventive Medicine, 47 265-269 (2008)
Citations Scopus - 10Web of Science - 7
2007 Duncan MJ, Mummery WK, 'GIS or GPS? A Comparison of Two Methods For Assessing Route Taken During Active Transport', American Journal of Preventive Medicine, 33 51-53 (2007)
Citations Scopus - 85Web of Science - 81
2007 Mummery WK, Duncan M, Kift R, 'Socio-economic differences in public opinion regarding water fluoridation in Queensland', Australian and New Zealand Journal of Public Health, 31 336-339 (2007)
Citations Scopus - 13Web of Science - 13
2007 Duncan MJ, Mummery WK, Dascombe BJ, 'Utility of global positioning system to measure active transport in urban areas', MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 39 1851-1857 (2007) [C1]
DOI 10.1249/mss.0b013e31811ff31e
Citations Scopus - 35Web of Science - 34
Co-authors Ben Dascombe
2005 Duncan MJ, Spence JC, Mummery WK, 'Perceived environment and physical activity: A meta-analysis of selected environmental characteristics', International Journal of Behavioral Nutrition and Physical Activity, 2 (2005)
Citations Scopus - 221
2005 Duncan M, Mummery K, 'Psychosocial and environmental factors associated with physical activity among city dwellers in regional Queensland', Preventive Medicine, 40 363-372 (2005)
Citations Scopus - 164Web of Science - 150
Duncan MJ, Brown WJ, Mummery WK, Vandelanotte C, '10,000 Steps Australia: a community-wide eHealth physical activity promotion programme', British Journal of Sports Medicine, bjsports-2017-097625-bjsports-2017-097625
DOI 10.1136/bjsports-2017-097625
Show 113 more journal articles

Conference (8 outputs)

Year Citation Altmetrics Link
2016 Paterson J, Bowen H, Reynolds A, Duncan M, Vandelanotte C, Ferguson S, 'THE YAWN (YOUNG ADULTS WORKING NIGHTS) STUDY: BARRIERS AND ENABLERS TO MODIFYING SLEEP BEHAVIOUR IN YOUNG ADULTS', JOURNAL OF SLEEP RESEARCH (2016)
2016 Alley S, Schoeppe S, Duncan MJ, Vandelanotte C, 'Queensland Older Adults' Physical Activity, Diet, Screen Time, Smoking, Alcohol, and BMI: Trends from 2007-2014', JOURNAL OF AGING AND PHYSICAL ACTIVITY (2016)
2015 Rebar A, Martina A, Boles C, Burton N, Duncan MJJ, Short C, et al., 'Healthy Mind, Healthy Body: a randomized trial of a computer-tailored vs interactive web-based physical activity intervention for people with depressive symptoms', ISBNPA 2015: Advancing Behavior Change Science, Edinburgh, UK (2015) [E3]
2013 Ding H, Karunanithi M, Duncan M, Ireland D, Noakes M, Hooker C, 'A mobile phone enabled health promotion program for middle-aged males' (2013)
Citations Scopus - 2Web of Science - 2
2013 Caperchione CM, Duncan MJ, Kolt GS, Vandelanotte C, Maeder A, Rosenkranz RR, et al., 'Translating Health Promotion Research Into Community Practice: The Manup Project', MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, Indianapolis, IN (2013)
2012 Vandelanotte C, Duncan M, Plotnikoff R, Mummery K, 'DOPARTICIPANTS' PREFERENCES FOR MODE OF DELIVERY (TEXT, VIDEO OR BOTH) INFLUENCE THE EFFECTIVENESS OF AN ONLINE PHYSICAL ACTIVITY INTERVENTION?', INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE (2012)
Co-authors Ron Plotnikoff
2012 Schoeppe S, Duncan M, Oliver M, Badland H, Burke M, 'RECRUIT, ENGAGE AND ATTAIN CHILDREN IN BEHAVIORAL HEALTH RESEARCH - THE REACH FRAMEWORK', INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE (2012)
2012 Duncan MJ, Vandelanotte C, Hanley C, Caperchione C, Mummery K, 'Australian Award - Population Trends in Adults Physical Activity, Sedentary Behaviour and Overweight and Obesity', JOURNAL OF GENERAL INTERNAL MEDICINE (2012)
Show 5 more conferences
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Grants and Funding

Summary

Number of grants 19
Total funding $10,830,343

Click on a grant title below to expand the full details for that specific grant.


Highlighted grants and funding

Improving understanding of Sleep, Physical Activity & Diet as CVD risk factors: combining evidence from intervention and epidemiological studies$190,609

Funding body: National Heart Foundation of Australia

Funding body National Heart Foundation of Australia
Project Team Associate Professor Mitch Duncan, Professor Nicholas Glozier, Professor Ronald Plotnikoff, Associate Professor Emmanuel Stamatakis, Dr Gregory Kolt, Doctor Liz Holliday, Associate Professor Mark McEvoy, Emeritus Professor Michael Hensley, Professor Clare Collins, Professor Philip Morgan, Associate Professor Comeel Vandelanotte, Professor Wendy Brown
Scheme NSW Cardiovascular Research Network Research Development Project Grant
Role Lead
Funding Start 2017
Funding Finish 2018
GNo G1600996
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Sleep, Move & Eat. Testing novel intervention strategies to improve the efficacy of behavioural weight loss interventions$59,808

Funding body: Diabetes Australia

Funding body Diabetes Australia
Project Team Associate Professor Mitch Duncan, Professor Ronald Plotnikoff, Professor Clare Collins, Professor Philip Morgan, Associate Professor Comeel Vandelanotte, Professor Wendy Brown
Scheme Research Grant
Role Lead
Funding Start 2017
Funding Finish 2017
GNo G1600738
Type Of Funding Aust Competitive - Non Commonwealth
Category 1NS
UON Y

20174 grants / $1,351,036

Partnering with local government councils for scalable physical activity promotion in community parks$1,060,745

Funding body: NHMRC (National Health & Medical Research Council)

Funding body NHMRC (National Health & Medical Research Council)
Project Team Professor Ronald Plotnikoff, Professor David Lubans, Professor Adrian Bauman, Associate Professor Mitch Duncan, Professor John Attia
Scheme Partnership Projects
Role Investigator
Funding Start 2017
Funding Finish 2021
GNo G1601350
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Improving understanding of Sleep, Physical Activity & Diet as CVD risk factors: combining evidence from intervention and epidemiological studies$190,609

Funding body: National Heart Foundation of Australia

Funding body National Heart Foundation of Australia
Project Team Associate Professor Mitch Duncan, Professor Nicholas Glozier, Professor Ronald Plotnikoff, Associate Professor Emmanuel Stamatakis, Dr Gregory Kolt, Doctor Liz Holliday, Associate Professor Mark McEvoy, Emeritus Professor Michael Hensley, Professor Clare Collins, Professor Philip Morgan, Associate Professor Comeel Vandelanotte, Professor Wendy Brown
Scheme NSW Cardiovascular Research Network Research Development Project Grant
Role Lead
Funding Start 2017
Funding Finish 2018
GNo G1600996
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Sleep, Move & Eat. Testing novel intervention strategies to improve the efficacy of behavioural weight loss interventions$59,808

Funding body: Diabetes Australia

Funding body Diabetes Australia
Project Team Associate Professor Mitch Duncan, Professor Ronald Plotnikoff, Professor Clare Collins, Professor Philip Morgan, Associate Professor Comeel Vandelanotte, Professor Wendy Brown
Scheme Research Grant
Role Lead
Funding Start 2017
Funding Finish 2017
GNo G1600738
Type Of Funding Aust Competitive - Non Commonwealth
Category 1NS
UON Y

Sub-Project - Hunter Cancer Research Alliance; HCRA$39,874

Funding body: Cancer Institute NSW

Funding body Cancer Institute NSW
Project Team Associate Professor Erica James, Doctor Craig Gedye, Conjoint Associate Professor Jarad Martin, Doctor Nick Zdenkowski, Miss Aoife McGarvey, Professor Ronald Plotnikoff, Doctor Ben Britton, Mrs Merridie Rees, Associate Professor Mitch Duncan, Miss Fiona Stacey
Scheme Translational Cancer Research Centre Grants
Role Investigator
Funding Start 2017
Funding Finish 2018
GNo GS170010
Type Of Funding Other Public Sector - State
Category 2OPS
UON Y

20161 grants / $9,765

Partnering with local government councils for scalable physical activity promotion; integrating physical and environmental change, innovative technology and social support$9,765

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Professor Ronald Plotnikoff, Professor David Lubans, Associate Professor Mitch Duncan
Scheme Linkage Pilot Research Grant
Role Investigator
Funding Start 2016
Funding Finish 2016
GNo G1600766
Type Of Funding Internal
Category INTE
UON Y

20151 grants / $68,650

Reducing CVD risk by moving more and improving sleep: the Balance study$68,650

Funding body: National Heart Foundation of Australia

Funding body National Heart Foundation of Australia
Project Team Associate Professor Mitch Duncan, Professor Naomi Rogers, Professor Wendy Brown, Professor Stewart Trost
Scheme Vanguard Grant
Role Lead
Funding Start 2015
Funding Finish 2015
GNo G1400681
Type Of Funding Aust Competitive - Non Commonwealth
Category 1NS
UON Y

20143 grants / $5,326,846

Reducing population level CVD risk by improving physical activity, sitting and sleep behaviours$520,000

Funding body: National Heart Foundation of Australia

Funding body National Heart Foundation of Australia
Project Team Associate Professor Mitch Duncan
Scheme Future Leader Fellowship
Role Lead
Funding Start 2014
Funding Finish 2018
GNo G1400694
Type Of Funding Aust Competitive - Non Commonwealth
Category 1NS
UON Y

National Physical Activity Conference, Canberra Australia, 15 - 18 October 2014.$1,500

Funding body: University of Newcastle - Faculty of Health and Medicine

Funding body University of Newcastle - Faculty of Health and Medicine
Project Team Associate Professor Mitch Duncan
Scheme Travel Grant
Role Lead
Funding Start 2014
Funding Finish 2014
GNo G1400939
Type Of Funding Internal
Category INTE
UON Y

20133 grants / $1,543,127

10,000 Steps$732,500

This funding supports the continued dissemination of the 10,000 Steps project www.10000steps.org.au

Funding body: University of Central Queensland

Funding body University of Central Queensland
Project Team

Dr Mitch Duncan

Scheme Queensland Health
Role Lead
Funding Start 2013
Funding Finish 2015
GNo
Type Of Funding Other Public Sector - Commonwealth
Category 2OPC
UON N

My Personal Activity Advice – A RCT investigating the effectiveness of tailored videos in promoting physical activity using the Internet$690,627

 

Funding body: NHMRC (National Health & Medical Research Council)

Funding body NHMRC (National Health & Medical Research Council)
Project Team

Corneel Vandelanotte

Scheme Project Grant
Role Investigator
Funding Start 2013
Funding Finish 2016
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

The Shifting Gears Project: active living and healthy eating in Queensland truck drivers$120,000

Funding body: Queensland Government

Funding body Queensland Government
Project Team

Nicholas Gilson

Scheme Health Department
Role Investigator
Funding Start 2013
Funding Finish 2014
GNo
Type Of Funding Other Public Sector - State
Category 2OPS
UON N

20121 grants / $285,986

Web-based physical activity interventions for people with mental health conditions$285,986

Funding body: CQUniversity

Funding body CQUniversity
Project Team

Vandelanotte, C., Duncan, MJ., & Happell, B

Scheme Research Advancement Award Scheme
Role Investigator
Funding Start 2012
Funding Finish 2015
GNo
Type Of Funding Internal
Category INTE
UON N

20105 grants / $2,182,350

Walk 2.0: Investigating the internal and external validity of Web 2.0 applications in promoting physical activity$896,350

The overall aim of the project is to study the effectiveness of new generation Web 2.0 applications in health promotion. Spcifically we seek to test the efficacy of Web 2.0 applications in the engagement and retention of, and physical activity behaviour in, people who access a publicly available physical activity promotion website (www.10000steps.org.au). The project consists of two studies 1) a randomised control trial (RCT), and 2) a ‘real world’ ecological trial (ECT). The RCT will allow us to examine our research questions in a tightly controlled manner. The ECT takes advantage of the unique ‘real world’ sample available to the research team through the 10,000 Steps website to examine our research questions in a way that is more aligned with how the public uses health promotion websites.

Funding body: NHMRC (National Health & Medical Research Council)

Funding body NHMRC (National Health & Medical Research Council)
Project Team

Gregory Kolt

Scheme unknown
Role Investigator
Funding Start 2010
Funding Finish 2015
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

CATCH: Children, Active Travel, Connectedness and Health$479,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team

Carey Curtis

Scheme Discovery Projects
Role Investigator
Funding Start 2010
Funding Finish 2013
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

10,000 Steps $284,000

Funding body: Queensland Department of Health

Funding body Queensland Department of Health
Scheme Unknown
Role Lead
Funding Start 2010
Funding Finish 2013
GNo
Type Of Funding Other Public Sector - State
Category 2OPS
UON N

10,000 Steps$283,000

Funding body: National Partnership Agreement on Preventive Health

Funding body National Partnership Agreement on Preventive Health
Scheme Workplaces for Wellness
Role Lead
Funding Start 2010
Funding Finish 2013
GNo
Type Of Funding Other Public Sector - State
Category 2OPS
UON N

iMATCH: Independent Mobility, Active Travel and Children’s Health$240,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team

Matthew Burke

Scheme Linkage Projects
Role Investigator
Funding Start 2010
Funding Finish 2013
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

20081 grants / $62,583

7 year follow-up of regional city dwellers: Longitudinal changes in the built environment and physical activity$62,583

Funding body: National Heart Foundation of Australia

Funding body National Heart Foundation of Australia
Project Team

Dr Mitch Duncan

Scheme Grant-In-Aid
Role Lead
Funding Start 2008
Funding Finish 2009
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N
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Research Supervision

Number of supervisions

Completed8
Current4

Total current UON EFTSL

PhD2.4

Current Supervision

Commenced Level of Study Research Title Program Supervisor Type
2017 PhD The Relationship Between Sleep Quality, Diet and Physical Activity with Changes in Body Weight PhD (Behavioural Science), Faculty of Health and Medicine, The University of Newcastle Principal Supervisor
2016 PhD The impact of physical activity on youth mental health and cognition: an exploration of mechanisms PhD (Behavioural Science), Faculty of Health and Medicine, The University of Newcastle Principal Supervisor
2015 PhD Investigating the effect of changes in physical activity and sleep behaviour on subsequent physical activity and sleep behaviour and, physical and mental health, and health-related quality of life. PhD (Behavioural Science), Faculty of Health and Medicine, The University of Newcastle Principal Supervisor
2015 PhD Using Technology-Based Interventions to Improve Physical Activity and Sleep Behaviours PhD (Behavioural Science), Faculty of Health and Medicine, The University of Newcastle Principal Supervisor

Past Supervision

Year Level of Study Research Title Program Supervisor Type
2016 Masters The effectiveness of the 10,000 Steps Workplace Challenge to increase physical activity Behavioural Science, Central Queensland University Principal Supervisor
2016 PhD The effect of different intensities of physical activity and diet on cardiometabolic markers, cardiac and vascular function, and gut microbiota Health, University of Central Queensland Co-Supervisor
2016 PhD Impact of physical activity, obesity and particulate matter on cardiovascular and respiratory function in young rats. Health, University of Central Queensland Co-Supervisor
2015 PhD Children’s independent mobility, active travel, physical activity and health Health, University of Central Queensland Principal Supervisor
2013 PhD Children off the Couch: The efficacy of an integrated curriculum and web-supported class-based walking challenge on physical activity Health Promotion, University of Central Queensland Principal Supervisor
2012 Masters An examination of question form on responses in CATI surveys Health, University of Central Queensland Principal Supervisor
2012 PhD Application of smart phones to improve self management of diabetes Health, University of Central Queensland Co-Supervisor
2011 PhD Investigations and recommendations for sport development legacies resulting from the conduct of major sporting events Health, University of Central Queensland Principal Supervisor
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Research Projects

REFRESH Study 2017 -

Why: Many people report poor sleep health which has a substantial negative impact on health. Physical activity has been shown to improve sleep health. However, many sleep interventions do not explicitly target changes in physical activity. This potentially limits changes in activity and the subsequent benefits that higher activity levels may confer upon sleep. Additionally, most current interventions focus on adults with a sleep disorder, neglecting those with poor sleep health but without a diagnosed disorder. This study aims to examine the efficacy of a combined physical activity and sleep intervention to improve sleep quality in mid-aged adults and its effect on physical activity, depression and quality of life. 

What and How: A three-arm randomised trial with a three-month primary time point, will be conducted. Adults (n=275) aged 40-65 years, who report being physically inactive and having poor sleep quality, will be randomly allocated to either a combined Physical Activity and Sleep Health, a Sleep Health-Only or a Wait List Control group. The multi-component m-health intervention will be delivered using primarily a smartphone or tablet “app” and supplemented with email and SMS. Participants will use the app to access educational material and to set goals, self-monitor their behaviours, and receive feedback about behaviour relative to their goals. Assessments will be conducted at baseline, three-month primary timepoint and six-month follow-up. Statistical analysis will identify differences between study groups in sleep quality.

The Future: This study will determine whether the addition of a physical activity intervention enhances the effectiveness of a sleep intervention to improve sleep quality, relative to a sleep only intervention in physically inactive mid-aged adults who report poor sleep health but do not have a sleep disorder. The combination of a physical activity intervention with a sleep intervention is likely to further reduce the risk of chronic diseases associated with poor sleep by synergistically enhancing the effectiveness of the sleep intervention.


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News

A refreshing way to get more activity and better sleep

August 28, 2017

As a third of Australian adults only dream of getting a good night’s rest, University of Newcastle researchers are conducting a nationwide clinical trial designed to improve sleep quality amongst those aged 40-65.

Mitch Duncan

Can a good night’s sleep be secret to diabetes prevention?

March 14, 2017

A new project from the University of Newcastle and Hunter Medical Research Institute is hoping to unlock whether sleep is the missing link in long-term, healthy weight loss.

UON Heart Foundation 2017 Research Funding

December 5, 2016

Five UON health researchers have been awarded highly competitive Heart Foundation Australia funding to investigate the causes, treatment and prevention of heart, stroke and blood vessel disease.

Associate Professor Mitch Duncan

Position

Future Leaders Fellow
School of Medicine & Public Health, Priority Research Centre in Physical Activity and Nutrition
School of Medicine and Public Health
Faculty of Health and Medicine

Contact Details

Email mitch.duncan@newcastle.edu.au
Phone (02) 49217805
Fax (02) 4921 2084
Link Research and Innovation Cluster

Office

Room ATC315
Building Advanced Technology Centre
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
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