Dr Anna Rayward
School of Education
- Phone:(02) 405 53239
Having originally trained as a doctor, Anna undertook a PhD in Behavioural Sciences with a view to preventing the development of chronic diseases at the population level by improving lifestyle behaviours. She graduated in 2020, from the University of Newcastle, Australia.
- Doctor of Philosophy in Behavioural Science, University of Newcastle
- Bachelor of Medicine, University of Newcastle
- Family healthy lifestyle interventions
- Physical activity, sleep behaviours and health
- English (Mother)
Fields of Research
|420699||Public health not elsewhere classified||60|
|390399||Education systems not elsewhere classified||10|
|Title||Organisation / Department|
|Research Academic||University of Newcastle
School of Education
|Research Academic||University of Newcastle
School of Education
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (21 outputs)
Duncan MJ, Rayward AT, Holliday EG, Brown WJ, Vandelanotte C, Murawski B, Plotnikoff RC, 'Effect of a physical activity and sleep m-health intervention on a composite activity-sleep behaviour score and mental health: a mediation analysis of two randomised controlled trials', International Journal of Behavioral Nutrition and Physical Activity, 18 (2021) [C1]
Background: To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, a... [more]
Background: To examine if a composite activity-sleep behaviour index (ASI) mediates the effects of a combined physical activity and sleep intervention on symptoms of depression, anxiety, or stress, quality of life (QOL), energy and fatigue in adults. Methods: This analysis used data pooled from two studies: Synergy and Refresh. Synergy: Physically inactive adults (18¿65 years) who reported poor sleep quality were recruited for a two-arm Randomised Controlled Trial (RCT) (Physical Activity and Sleep Health (PAS; n = 80), or Wait-list Control (CON; n = 80) groups). Refresh: Physically inactive adults (40¿65 years) who reported poor sleep quality were recruited for a three-arm RCT (PAS (n = 110), Sleep Health-Only (SO; n = 110) or CON (n = 55) groups). The SO group was omitted from this study. The PAS groups received a pedometer, and accessed a smartphone/tablet ¿app¿ using behaviour change strategies (e.g., self-monitoring, goal setting, action planning), with additional email/SMS support. The ASI score comprised self-reported moderate-to-vigorous-intensity physical activity, resistance training, sitting time, sleep duration, efficiency, quality and timing. Outcomes were assessed using DASS-21 (depression, anxiety, stress), SF-12 (QOL-physical, QOL-mental) and SF-36 (Energy & Fatigue). Assessments were conducted at baseline, 3 months (primary time-point), and 6 months. Mediation effects were examined using Structural Equation Modelling and the product of coefficients approach (AB), with significance set at 0.05. Results: At 3 months there were no direct intervention effects on mental health, QOL or energy and fatigue (all p > 0.05), and the intervention significantly improved the ASI (all p < 0.05). A more favourable ASI score was associated with improved symptoms of depression, anxiety, stress, QOL-mental and of energy and fatigue (all p < 0.05). The intervention effects on symptoms of depression ([AB; 95%CI] -0.31; - 0.60,-0.11), anxiety (- 0.11; - 0.27,-0.01), stress (- 0.37; - 0.65,-0.174), QOL-mental (0.53; 0.22, 1.01) and ratings of energy and fatigue (0.85; 0.33, 1.63) were mediated by ASI. At 6 months the magnitude of association was larger although the overall pattern of results remained similar. Conclusions: Improvements in the overall physical activity and sleep behaviours of adults partially mediated the intervention effects on mental health and quality of life outcomes. This highlights the potential benefit of improving the overall pattern of physical activity and sleep on these outcomes. Trial registration: Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; ACTRN12617000376347. Universal Trial number: U1111¿1194-2680; U1111¿1186-6588. Human Research Ethics Committee Approval: H-2016-0267; H-2016¿0181.
Fenton S, Burrows TL, Collins CE, Holliday EG, Kolt GS, Murawski B, et al., 'Behavioural mediators of reduced energy intake in a physical activity, diet, and sleep behaviour weight loss intervention in adults.', Appetite, 165 105273 (2021)
Morgan PJ, Collins CE, Barnes AT, Pollock ER, Kennedy S-L, Drew RJ, et al., 'Engaging Fathers to Improve Physical Activity and Nutrition in Themselves and in Their Preschool-Aged Children: The "Healthy Youngsters, Healthy Dads" Feasibility Trial', JOURNAL OF PHYSICAL ACTIVITY & HEALTH, 18 175-184 (2021) [C1]
Oftedal S, Rayward AT, Fenton S, Duncan MJ, 'Sleep, diet, activity, and incident poor self-rated health: A population-based cohort study.', Health Psychol, 40 252-262 (2021) [C1]
Murawski B, Plotnikoff RC, Lubans DR, Rayward AT, Brown WJ, Vandelanotte C, Duncan MJ, 'Examining mediators of intervention efficacy in a randomised controlled m-health trial to improve physical activity and sleep health in adults', Psychology and Health, 35 1346-1367 (2020) [C1]
Objectives: Examining mediators of intervention efficacy in an m-health intervention targeting physical activity and sleep in 160 Australian adults. Design: Nationwide randomised ... [more]
Objectives: Examining mediators of intervention efficacy in an m-health intervention targeting physical activity and sleep in 160 Australian adults. Design: Nationwide randomised controlled trial. Main outcome measures: Moderate- and vigorous-intensity physical activity (MVPA), assessed using the Active Australia Questionnaire; sleep quality (Pittsburgh Sleep Quality Index); and sleep hygiene practices (Sleep Hygiene Index). Hypothesised psychosocial (e.g. self-efficacy) and behavioural (i.e. MVPA, sleep quality, sleep hygiene) mediators were tested on primary endpoint data at 3 months using bias-corrected bootstrapping (PROCESS 2 for SPSS). All outcomes and mediators were assessed using self-report. Results: At three months, the intervention had significantly improved sleep quality (d = 0.48, 95% CI: -2.26, -0.33, p = 0.009) and sleep hygiene (d = 0.40, 95% CI: -3.10, -0.19, p = 0.027). Differences in MVPA were not significant (d = 0.24, 95% CI: -35.53, 254.67, p = 0.139). Changes in MVPA were mediated by self-efficacy, perceived capability, environment, social support, intentions and planning, some of which showed inconsistent mediation (suppression). None of the hypothesised psychosocial factors mediated sleep outcomes. Changes in sleep hygiene mediated changes in sleep quality. Conclusions: Several psychosocial factors mediated changes in physical activity but not in sleep outcomes. Mediation effects of sleep hygiene on sleep quality highlight the importance of providing evidence-based strategies to improve sleep quality.
Rayward AT, Murawski B, Duncan MJ, Holliday EG, Vandelanotte C, Brown WJ, Plotnikoff RC, 'Efficacy of an m-health physical activity and sleep intervention to improve sleep quality in middle-aged adults: The refresh study randomized controlled trial', Annals of Behavioral Medicine, 54 470-483 (2020) [C1]
Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the ... [more]
Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. Methods Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40¿65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet ¿app¿ to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. Results Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report =2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. Conclusions PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality.
Duncan MJ, Fenton S, Brown WJ, Collins CE, Glozier N, Kolt GS, et al., 'Efficacy of a Multi-component m-Health Weight-loss Intervention in Overweight and Obese Adults: A Randomised Controlled Trial.', International Journal of Environmental Research and Public Health, 17 (2020) [C1]
Duncan MJ, Oftedal S, Rebar AL, Murawski B, Short CE, Rayward AT, Vandelanotte C, 'Patterns of physical activity, sitting time, and sleep in Australian adults: A latent class analysis', Sleep Health, 6 828-834 (2020) [C1]
Objective: To identify the patterns of activity, sitting and sleep that adults engage in, the demographic and biological correlates of activity-sleep patterns and the relationship... [more]
Objective: To identify the patterns of activity, sitting and sleep that adults engage in, the demographic and biological correlates of activity-sleep patterns and the relationship between identified patterns and self-rated health. Design and Setting: Online panel of randomly selected Australian adults (n = 2034) completing a cross-sectional survey in October-November 2013. Participants: Panel members who provided complete data on all variables were included (n = 1532). Measurements: Participants self-reported their demographic characteristics, height, weight, self-rated health, duration of physical activity, frequency of resistance training, sitting time, sleep duration, sleep quality, and variability in bed and wake times. Activity-sleep patterns were determined using latent class analysis. Latent class regression was used to examine the relationships between identified patterns, demographic and biological characteristics, and self-rated health. Results: A 4-class model fit the data best, characterized by very active good sleepers, inactive good sleepers, inactive poor sleepers, moderately active good sleepers, representing 38.2%, 22.2%, 21.2%, and 18.4% of the sample, respectively. Relative to the very active good sleepers, the inactive poor sleepers, and inactive good sleepers were more likely to report being female, lower education, higher body mass index, and lower self-rated health, the moderately active good sleepers were more likely to be older, report lower education, higher body mass index and lower self-rated health. Associations between activity-sleep pattern and self-rated health were the largest in the inactive poor sleepers. Conclusions: The 4 activity-sleep patterns identified had distinct behavioral profiles, sociodemographic correlates, and relationships with self-rated health. Many adults could benefit from behavioral interventions targeting improvements in physical activity and sleep.
Rayward AT, Vandelanotte C, Corry K, Van Itallie A, Duncan MJ, 'Impact of a Social Media Campaign on Reach, Uptake, and Engagement with a Free Web- and App-Based Physical Activity Intervention: The 10,000 Steps Australia Program', International journal of environmental research and public health, 16 1-17 (2019) [C1]
Gordon S, Vandelanotte C, Rayward AT, Murawski B, Duncan MJ, 'Sociodemographic and behavioral correlates of insufficient sleep in Australian adults', SLEEP HEALTH, 5 12-17 (2019) [C1]
Oftedal S, Burrows T, Fenton S, Murawski B, Rayward AB, Duncan MJ, 'Feasibility and Preliminary Efficacy of an m-Health Intervention Targeting Physical Activity, Diet, and Sleep Quality in Shift-Workers', INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 16 (2019) [C1]
Murawski B, Plotnikoff RC, Rayward AT, Oldmeadow C, Vandelanotte C, Brown WJ, Duncan M, 'Efficacy of an m-health physical activity and sleep health intervention for adults: a randomized waitlist-controlled trial.', AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 57 503-514 (2019) [C1]
Rayward AT, Burton NW, Brown WJ, Holliday EG, Plotnikoff RC, Duncan MJ, 'Associations between Changes in Activity and Sleep Quality and Duration over Two Years.', Medicine and science in sports and exercise, 50 2425-2432 (2018) [C1]
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]
|Show 18 more journal articles|
Grants and Funding
|Number of grants||1|
Click on a grant title below to expand the full details for that specific grant.
20211 grants / $2,500
Funding body: College of Human and Social Futures, University of Newcastle
|Funding body||College of Human and Social Futures, University of Newcastle|
|Scheme||2021 CHSF Research Output Scheme|
|Type Of Funding||Internal|