Dr Megan Rollo

Research Academic

School of Health Sciences (Nutrition and Dietetics)

Career Summary

Qualifications

  • PhD (Nutrition & Dietetics), Queensland University of Technology
  • Bachelor of Applied Science, Queensland University of Technology
  • Bachelor of Health Science (Nut & Diet) Hons, Queensland University of Technology

Keywords

  • dietary intake methods
  • dietetics
  • dietietics
  • eHealth
  • mHealth
  • nutrition
  • nutrition assessment
  • telehealth

Fields of Research

CodeDescriptionPercentage
111199Nutrition and Dietetics not elsewhere classified100

Professional Experience

UON Appointment

DatesTitleOrganisation / Department
16/02/2015 - 16/12/2015Research AssociateUniversity of Newcastle
School of Humanities and Social Science
Australia
16/02/2015 - 10/07/2015Research AcademicUniversity of Newcastle
School of Health Sciences
Australia
15/02/2013 - 7/07/2013LecturerUniversity of Newcastle
School of Health Sciences
Australia
Edit

Publications

For publications that are currently unpublished or in-press, details are shown in italics.


Journal article (10 outputs)

YearCitationAltmetricsLink
2015Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, et al., 'eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis', Obesity Reviews, 16 376-392 (2015)

A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n=139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n=55) of interventions used more than one type of technology, and 43.2% (n=60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P<0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P<0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P<0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.

DOI10.1111/obr.12268
Co-authorsRon Plotnikoff, Robin Callister, Philip Morgan, Melinda Hutchesson, Clare Collins
2015Hutchesson MJ, Rollo ME, Callister R, Collins CE, 'Self-Monitoring of Dietary Intake by Young Women: Online Food Records Completed on Computer or Smartphone Are as Accurate as Paper-Based Food Records but More Acceptable', Journal of the Academy of Nutrition and Dietetics, 115 87-94 (2015)

Adherence and accuracy of self-monitoring of dietary intake influences success in weight management interventions. Information technologies such as computers and smartphones have the potential to improve adherence and accuracy by reducing the burden associated with monitoring dietary intake using traditional paper-based food records. We evaluated the acceptability and accuracy of three different 7-day food record methods (online accessed via computer, online accessed via smartphone, and paper-based). Young women (N=18; aged 23.4±2.9 years; body mass index 24.0±2.2) completed the three 7-day food records in random order with 7-day washout periods between each method. Total energy expenditure (TEE) was derived from resting energy expenditure (REE) measured by indirect calorimetry and physical activity level (PAL) derived from accelerometers (TEE=REE×PAL). Accuracy of the three methods wasassessed by calculating absolute (energy intake [EI]-TEE) and percentage difference (EI/TEE×100) between self-reported EI and TEE. Acceptability was assessed via questionnaire. Mean±standard deviation TEE was 2,185±302 kcal/day and EI was 1,729±249 kcal/day, 1,675±287kcal/day, and 1,682±352 kcal/day for computer, smartphone, and paper records, respectively. There were no significant differences between absolute and percentage differences between EI and TEE for the three methods: computer, -510±389 kcal/day (78%); smartphone, -456±372 kcal/day (80%); and paper, -503±513 kcal/day (79%). Half of participants (n=9) preferred computer recording, 44.4% preferred smartphone, and 5.6% preferred paper-based records. Most participants (89%) least preferred the paper-based record. Because online food records completed on either computer or smartphone were as accurate as paper-based records but more acceptable to young women, they should be considered when self-monitoring of intake is recommended to young women.

DOI10.1016/j.jand.2014.07.036
Co-authorsMelinda Hutchesson, Robin Callister, Clare Collins
2015Collins CE, Burrows TL, Rollo ME, Boggess MM, Watson JF, Guest M, et al., 'The comparative validity and reproducibility of a diet quality index for adults: the Australian Recommended Food Score.', Nutrients, 7 785-798 (2015)
DOI10.3390/nu7020785Author URL
CitationsScopus - 2Web of Science - 1
Co-authorsTracy Burrows, Clare Collins, Melinda Hutchesson, Maya Guest
2015Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, et al., 'eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis', Obesity Reviews, (2015)

Summary: A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n=139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n=55) of interventions used more than one type of technology, and 43.2% (n=60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P<0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P<0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P<0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.

DOI10.1111/obr.12268
Co-authorsPhilip Morgan, Ron Plotnikoff, Melinda Hutchesson, Clare Collins, Robin Callister
2015Hutchesson MJ, Rollo ME, Krukowski R, Ells L, Harvey J, Morgan PJ, et al., 'eHealth interventions for the prevention and treatment of overweight and obesity in adults: A systematic review with meta-analysis', Obesity Reviews, 16 376-392 (2015)

A systematic review of randomized controlled trials was conducted to evaluate the effectiveness of eHealth interventions for the prevention and treatment of overweight and obesity in adults. Eight databases were searched for studies published in English from 1995 to 17September 2014. Eighty-four studies were included, with 183 intervention arms, of which 76% (n=139) included an eHealth component. Sixty-one studies had the primary aim of weight loss, 10 weight loss maintenance, eight weight gain prevention, and five weight loss and maintenance. eHealth interventions were predominantly delivered using the Internet, but also email, text messages, monitoring devices, mobile applications, computer programs, podcasts and personal digital assistants. Forty percent (n=55) of interventions used more than one type of technology, and 43.2% (n=60) were delivered solely using eHealth technologies. Meta-analyses demonstrated significantly greater weight loss (kg) in eHealth weight loss interventions compared with control (MD -2.70 [-3.33,-2.08], P<0.001) or minimal interventions (MD -1.40 [-1.98,-0.82], P<0.001), and in eHealth weight loss interventions with extra components or technologies (MD 1.46 [0.80, 2.13], P<0.001) compared with standard eHealth programmes. The findings support the use of eHealth interventions as a treatment option for obesity, but there is insufficient evidence for the effectiveness of eHealth interventions for weight loss maintenance or weight gain prevention.

DOI10.1111/obr.12268
Co-authorsRobin Callister, Melinda Hutchesson, Ron Plotnikoff, Clare Collins, Philip Morgan
2014Burrows TL, Collins K, Watson J, Guest M, Boggess MM, Neve M, et al., 'Validity of the Australian Recommended Food Score as a diet quality index for Pre-schoolers', Nutrition Journal, 13 (2014) [C1]

Background: Diet quality tools provide researchers with brief methods to assess the nutrient adequacy of usual dietary intake. This study describes the development and validation of a pediatric diet quality index, the Australian Recommended Food Scores for Pre-schoolers (ARFS-P), for use with children aged two to five years. Methods. The ARFS-P was derived from a 120-item food frequency questionnaire, with eight sub-scales, and was scored from zero to 73. Linear regressions were used to estimate the relationship between diet quality score and nutrient intakes, in 142 children (mean age 4 years) in rural localities in New South Wales, Australia. Results: Total ARFS-P and component scores were highly related to dietary intake of the majority of macronutrients and micronutrients including protein, ß-carotene, vitamin C, vitamin A. Total ARFS-P was also positively related to total consumption of nutrient dense foods, such as fruits and vegetables, and negatively related to total consumption of discretionary choices, such as sugar sweetened drinks and packaged snacks. Conclusion: ARFS-P is a valid measure that can be used to characterise nutrient intakes for children aged two to five years. Further research could assess the utility of the ARFS-P for monitoring of usual dietary intake over time or as part of clinical management.

DOI10.1186/1475-2891-13-87
Co-authorsMaya Guest, Tracy Burrows, Melinda Hutchesson, Clare Collins
2014Collins CE, Boggess MM, Watson JF, Guest M, Duncanson K, Pezdirc K, et al., 'Reproducibility and comparative validity of a food frequency questionnaire for Australian adults', Clinical Nutrition, 33 906-914 (2014)
DOI10.1016/j.clnu.2013.09.015
CitationsScopus - 4
Co-authorsMaya Guest, Tracy Burrows, Melinda Hutchesson, Clare Collins
2014Collins CE, Boggess MM, Watson JF, Guest M, Duncanson K, Pezdirc K, et al., 'Reproducibility and comparative validity of a food frequency questionnaire for Australian adults', Clinical Nutrition, 33 906-914 (2014) [C1]

Background: Food frequency questionnaires (FFQ) are used in epidemiological studies to investigate the relationship between diet and disease. There is a need for a valid and reliable adult FFQ with a contemporary food list in Australia. Aims: To evaluate the reproducibility and comparative validity of the Australian Eating Survey (AES) FFQ in adults compared to weighed food records (WFRs). Methods: Two rounds of AES and three-day WFRs were conducted in 97 adults (31 males, median age and BMI for males of 44.9 years, 26.2 kg/m2, females 41.3 years, 24.0 kg/m2. Reproducibility was assessed over six months using Wilcoxon signed-rank tests and comparative validity was assessed by intraclass correlation coefficients (ICC) estimated by fitting a mixed effects model for each nutrient to account for age, sex and BMI to allow estimation of between and within person variance. Results: Reproducibility was found to be good for both WFR and FFQ since there were no significant differences between round 1 and 2 administrations. For comparative validity, FFQ ICCs were at least as large as those for WFR. The ICC of the WFR-FFQ difference for total energy intake was 0.6 (95% CI 0.43, 0.77) and the median ICC for all nutrients was 0.47, with all ICCs between 0.15 (%E from saturated fat) and 0.7 (g/day sugars). Conclusions: Compared to WFR the AES FFQ is suitable for reliably estimating the dietary intakes of Australian adults across a wide range of nutrients. © 2013 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism.

DOI10.1016/j.clnu.2013.09.015
CitationsScopus - 7Web of Science - 6
Co-authorsMaya Guest, Tracy Burrows, Melinda Hutchesson, Clare Collins
2014Robinson LN, Rollo ME, Watson J, Burrows TL, Collins CE, 'Relationships between dietary intakes of children and their parents: A cross-sectional, secondary analysis of families participating in the Family Diet Quality Study', Journal of Human Nutrition and Dietetics, (2014)

Being overweight and obese in Australian children is common. Current evidence related to parental influence on child dietary intake is conflicting, and is particularly limited in terms of which parent exerts the stronger relationship. The present study aimed to assess mother-father and parent-child dietary relationships and to identify which parent-child relationship is stronger. Methods: A cross-sectional analysis was performed of dietary intake data from 66 families with one parent and one child aged 8-12 years who were participating in the Family Diet Quality Study, in the Hunter and Forster regions of New South Wales, Australia. Dietary intakes were assessed using adult and child specific, validated semi-quantitative 120-item food frequency questionnaires. Diet quality and variety subscores were assessed using the Australian Recommended Food Scores for adults and children/adolescents. Pearson's correlations were used to assess dietary relationships between mother-father, father-child and mother-child dyads. Results: Weak-to-moderate correlations were found between mother-child dyads for components of dietary intake (r = 0.27-0.47). Similarly, for father-child dyads, predominantly weak-to-moderate correlations were found (r = 0.01-0.52). Variety of fruit intake was the most strongly correlated in both parent-child dyads, with the weakest relationships found for fibre (g 1000 kJ-1) in father-child and percentage energy from total fats for mother-child dyads. Mother-father dyads demonstrated mostly moderate-to-strong correlations (r = 0.13-0.73), with scores for condiments showing the weakest relationship and vegetables the strongest. For all dyads, strong correlations were observed for overall diet quality (r = 0.50-0.59). Conclusions: Parent-child dietary intake is significantly related but differs for mother versus fathers. Further research is required to examine whether differing dietary components should be targeted for mothers versus fathers in interventions aiming to improve family dietary patterns. © 2014 The British Dietetic Association Ltd.

DOI10.1111/jhn.12261
Co-authorsTracy Burrows, Clare Collins
2014Ashton LM, Hutchesson MJ, Rollo ME, Morgan PJ, Collins CE, 'A scoping review of risk behaviour interventions in young men.', BMC public health, 14 957 (2014) [C1]
DOI10.1186/1471-2458-14-957
Co-authorsPhilip Morgan, Clare Collins, Melinda Hutchesson
Show 7 more journal articles

Conference (5 outputs)

YearCitationAltmetricsLink
2014Ashman A, Weatherall L, Brown LJ, Collins C, Naden M, Rae K, et al., 'Infant feeding practices in an Aboriginal cohort of pregnancy and infancy - the Gomeroi gaaynggal study', Aboriginal Health Conference 2014, Perth (2014) [E3]
Co-authorsLeanne Brown, Kym Rae, Roger Smith, Clare Collins
2013Burrows T, Collins CE, Hutchesson M, Rollo M, Guest M, Boggess M, 'Validation of fruit and vegetable intakes assessed by food frequency questionnaire using plasma carotenoids in adults', Australasian Medical Journal, Brisbane, Australia (2013) [E3]
Co-authorsMelinda Hutchesson, Clare Collins, Tracy Burrows, Maya Guest
2013Ashton L, Rollo M, Hutchesson M, Young MD, Morgan P, Callister R, et al., 'A comparison of outcomes of young and old adult males in the SHED-IT weight loss program for men', Obesity Research and Clinical Practice, Melbourne (2013) [E3]
Co-authorsPhilip Morgan, Clare Collins, Melinda Hutchesson, Ron Plotnikoff, Robin Callister, Myles Young
2012Rollo ME, Te Kloot A, Ash S, 'Digital dietetics: Practices and attitudes relating to technology use among Australian dietitians', Nutrition & Dietetics: Special Issue: Dietitians Association of Australia 16th International Congress of Dietetics, Sydney, NSW (2012) [E3]
2012Rollo ME, Te Kloot A, Ash S, 'Is there a place for pixels in our practice? Dietitians' attitudes towards the use of photographic dietary records within the nutrition care process', Nutrition & Dietetics: Special Issue: Dietitians Association of Australia 16th International Congress of Dietetics, Sydney, NSW (2012) [E3]
Show 2 more conferences
Edit

Grants and Funding

Summary

Number of grants7
Total funding$62,000

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


20153 grants / $35,000

Emlyn and Jennie Thomas Postgraduate Medical Research Scholarship$20,000

Funding body: Hunter Medical Research Institute

Funding bodyHunter Medical Research Institute
Project TeamProfessor Clare Collins, Doctor Megan Rollo, Doctor Melinda Hutchesson, Miss Lisa Spencer
SchemePostgraduate Research Scholarship
RoleInvestigator
Funding Start2015
Funding Finish2015
GNoG1500649
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

Providing one-on-one virtual exercise care via video consultations: a feasibility study in pregnancy.$10,000

Funding body: Exercise and Sports Science Australia

Funding bodyExercise and Sports Science Australia
Project TeamDoctor Megan Rollo, Miss Lisa Spencer, Professor Clare Collins, Doctor Melinda Hutchesson
SchemeTom Penrose Research and Community Service Grant
RoleLead
Funding Start2015
Funding Finish2015
GNoG1401192
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

Evaluation of a community-focused healthy lifestyle challenge$5,000

Funding body: Newcastle Herald

Funding bodyNewcastle Herald
Project TeamProfessor Clare Collins, Doctor Megan Rollo
SchemeResearch Grant
RoleInvestigator
Funding Start2015
Funding Finish2015
GNoG1500177
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

20142 grants / $20,000

Using focus groups to understand young adult males motivators and barriers to participating in a Healthy Lifestyle Program$10,000

Funding body: Hunter Medical Research Institute

Funding bodyHunter Medical Research Institute
Project TeamProfessor Clare Collins, Doctor Melinda Hutchesson, Doctor Megan Rollo, Professor Philip Morgan
SchemeProject Grant
RoleInvestigator
Funding Start2014
Funding Finish2014
GNoG1301360
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

Helping pregnant women achieve a healthy lifestyle and good outcomes for themselves and their baby in terms of health and well-being$10,000

Funding body: Hunter Medical Research Institute

Funding bodyHunter Medical Research Institute
Project TeamProfessor Clare Collins, Doctor Megan Rollo, Doctor Melinda Hutchesson, Miss Lisa Spencer
SchemePostgraduate Research Scholarship
RoleInvestigator
Funding Start2014
Funding Finish2014
GNoG1401512
Type Of FundingGrant - Aust Non Government
Category3AFG
UONY

20132 grants / $7,000

Nutrition and Dietetics$5,000

Funding body: University of Newcastle

Funding bodyUniversity of Newcastle
Project TeamDoctor Megan Rollo
SchemeNew Staff Grant
RoleLead
Funding Start2013
Funding Finish2013
GNoG1301074
Type Of FundingInternal
CategoryINTE
UONY

mHealth Summit 2013, Washington DC USA, 6-11 December 2013$2,000

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

Funding bodyUniversity of Newcastle - Faculty of Health and Medicine
Project TeamDoctor Megan Rollo
SchemeTravel Grant
RoleLead
Funding Start2013
Funding Finish2013
GNoG1301059
Type Of FundingInternal
CategoryINTE
UONY
Edit

Research Supervision

Current Supervision

CommencedResearch Title / Program / Supervisor Type
2015Nutrition's Role in the Management of Chronic Pain
Nutrition & Dietetics, Faculty of Health and Medicine
Co-Supervisor
2014Weight Management During Pregnancy and Following Childbirth
Nutrition & Dietetics, Faculty of Health and Medicine
Co-Supervisor
2013Optimising Dietary Intake and Nutrition-Related Health Outcomes in Aboriginal Women and their Children
Nutrition & Dietetics, Faculty of Health and Medicine
Co-Supervisor
2013Can young men change their lifestyle? A novel way to improve health.
Nutrition & Dietetics, Faculty of Health and Medicine
Co-Supervisor
Edit

News

smartphone food

Smart snapshot of pregnancy diets

July 28, 2014

With little being known about the diets of expectant Indigenous mums, University of Newcastle nutrition researchers are using smartphone technology to gather first-hand insights and provide personalised feedback.

Young men exercising

Healthy lifestyle study targets young men

March 19, 2014

Young men are the target of a new University of Newcastle study aiming to tailor a healthy lifestyle program that meets their specific needs.

Diet Bytes

Diet Bytes and Baby Bumps

October 18, 2013

A University of Newcastle study will assess the use of smartphones as a new method for pregnant women to record their nutritional intake.

Dr Megan Rollo

Positions

Research Academic
School of Health Sciences
Faculty of Health and Medicine

Research Associate
School of Humanities and Social Science
Faculty of Education and Arts

Focus area

Nutrition and Dietetics

Contact Details

Emailmegan.rollo@newcastle.edu.au
Phone(02) 4921 5649

Office

RoomHC54
BuildingHunter Building
Edit