Dr Anna Rayward
Senior Research Assistant
School of Medicine and Public Health
- Email:anna.rayward@newcastle.edu.au
- Phone:(02) 405 53239
Career Summary
Biography
Dr Anna Rayward is an EMCR at the National Centre of Implementation Science and the University of Newcastle with a long history of developing and scaling up health promotion programs.
Biography
My interest in targeting lifestyle behaviours stemmed from my work as a medical doctor where I saw the substantial impact of poor lifestyle behaviours in the adverse health outcomes of patients. “Prevention is better than a cure”, as they say, so working to prevent chronic diseases seemed to be an important, valuable and rewarding way to spend my time.
Consequently, I completed a PhD focussing on understanding the interconnected relationship between physical activity and sleep and harnessing it to improve the physical and mental health of Australian adults using a technology-based approach.
Research expertise
My research has covered a wide range of population groups (middle-aged adults, families and primary school-aged children) and lifestyle behaviours (physical activity, sleep and diet). I have experience in design, implementation and evaluation of health programs, including the use of IT-based interventions to promote engagement in health behaviours and accessibility to health programs.
Additionally, I have experience in implementation science having led the scale-up across NSW of a world-first obesity-prevention program for fathers and their primary school aged children, the Daughters and Dads Active and Empowered program.
My research currently involves two important programs of work:
• testing multiple evidence-based strategies to scale up an effective school-based nutrition program called SWAP IT across four states across Australia (NSW, VIC, SA and QLD) The outcomes of this work will help fill the gap that currently exists regarding successful new methods and techniques for achieving scale-up which can be translated across other health promotion programs more broadly.
• testing the efficacy of a novel digital physical activity and sleep health program – Balanced – to maximise improvements in glucose control among mid-aged adults with pre-diabetes, who are physically inactive and have poor sleep health.
Research collaborations
As a research practitioner, I have had extensive experience building and maintaining collaborative networks and engaging with community partners, state governments and NGOs, state and national sporting organisations including:
- NSW Football
- NNSW Football
- NSW Basketball
- Gymnastics NSW
- NSW Cricket
- Cricket Australia
I have also collaborated with the following international research and government agencies:
- Women in Sport UK
- SPORTUNION-Austria
- Leibniz Institute for Prevention Research and Epidemiology, Germany
- Baylor College of Medicine, USA.
Research leadership
I have had the opportunity to throughout my research career to lead several large research projects including the:
- randomised controlled trial which formed the core of my PhD project
- state-wide scale-up of the Daughters and Dads Active and Empowered Program
- national scale-up of the SWAP IT program
Research awards
- Best Paper Physical Activity and Population Health Category, PRC-PAN (2018)
- Best Oral presentation SIG e- & m-Health ISBNPA Conference, Prague (2019)
- Hunter Medical Research Institute Foundation: Research Team Award (2021)
- College of Human & Social Futures Excellence Award for Research Engagement and Translation: Healthy Youngsters, Healthy Dads Research Team (2021)
- Australasian Green Gown Award Winner in the category of ‘Benefiting Society’ (DADAE), (2020)
- International Green Gown Award “Highly Commended” in the category of ‘Benefiting Society’ (DADAE), (2021)
Research goals
My aims are to develop highly scalable evidence-based programs to prevent chronic disease and to build the knowledge about how best to scale up effective preventative health interventions. Ultimately, this will help expand the reach of these projects and maximise the benefits at the population level.
This will not only be important to the health and quality of life of individuals but will help governments and health organisations develop policies which are evidence-based, effective and cost-efficient.
Qualifications
- Doctor of Philosophy in Behavioural Science, University of Newcastle
- Bachelor of Medicine, University of Newcastle
Keywords
- Chronic disease prevention
- Health promotion
- Implementation science
- Lifestyle behaviours
- Nutrition
- Physical activity
- Scale-up
- Sleep health
- eHealth
- mHealth
Languages
- English (Mother)
Fields of Research
Code | Description | Percentage |
---|---|---|
420699 | Public health not elsewhere classified | 60 |
420603 | Health promotion | 30 |
390399 | Education systems not elsewhere classified | 10 |
Publications
For publications that are currently unpublished or in-press, details are shown in italics.
Journal article (27 outputs)
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2023 |
Murphy LL, Dascombe BJ, Murawski B, Rayward AT, Brown WJ, Plotnikoff RC, et al., 'Associations between app usage and behaviour change in a m-health intervention to improve physical activity and sleep health in adults: secondary analyses from two randomised controlled trials', Journal of Activity, Sedentary and Sleep Behaviors, 2 [C1]
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2022 |
Morgan PJ, Grounds JA, Ashton LM, Collins CE, Barnes AT, Pollock ER, et al., 'Impact of the 'Healthy Youngsters, Healthy Dads' program on physical activity and other health behaviours: a randomised controlled trial involving fathers and their preschool-aged children', BMC PUBLIC HEALTH, 22 (2022) [C1]
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2022 |
Morgan PJ, Rayward AT, Young MD, Pollock ER, Eather N, Barnes AT, et al., 'Establishing Effectiveness of a Community-based, Physical Activity Program for Fathers and Daughters: A Randomized Controlled Trial', Annals of Behavioral Medicine, 56 698-711 (2022) [C1] Background: The 'Dads And Daughters Exercising and Empowered' (DADEE) program significantly improved physical activity levels of fathers and their daughters in an effica... [more] Background: The 'Dads And Daughters Exercising and Empowered' (DADEE) program significantly improved physical activity levels of fathers and their daughters in an efficacy trial. However, the effectiveness of interventions when delivered in real-world settings needs to be established. Purpose: To evaluate the effectiveness of the DADEE intervention when delivered in community settings by trained facilitators. Methods: We conducted a two-arm RCT, (baseline and 3-months post-intervention assessments), in Newcastle, Australia. In 2016, 155 fathers (27-60 years) and 189 primary-school-aged daughters (4-12 years) (n = 344) were randomly allocated to the intervention (78 fathers, 95 daughters) or waitlist-control (77 fathers, 94 daughters) groups. Trained facilitators delivered the 9-week DADEE program (weekly sessions plus home-based tasks). Primary outcomes were fathers' and daughters' physical activity (steps/day). Secondary outcomes included screen-time, weight status, daughters' fundamental movement skill (FMS) proficiency, perceived sports competence, and fathers' parenting practices. Effects were assessed using linear mixed models. Results: Primary outcome follow-up data were collected from 88% of fathers and 89% of daughters. Significant group-by-time differences in mean daily steps were found for fathers' (adjusted difference = +1,638; 95% CI: 833, 2,443, d = 0.7) and daughters' (adjusted difference = +1,023 steps/day; 95% CI: 259, 1,787; d = 0.4) physical activity. Significant effects were observed for daughters' screen-time, FMS, and some parenting practices. No significant effects were identified for weight status, or fathers'screen-time or self-reported MVPA. Program attendance, satisfaction and fidelity were very high. Conclusion: This study established the effectiveness of the DADEE intervention when delivered in community settings by trained facilitators. Importantly, the findings were comparable to those of the efficacy RCT delivered by the research team. To maximize public health benefits, a larger-scale dissemination of the program appears warranted. Trial Registration Australian New Zealand Clinical Trial Registry: ACTRN12616001270404 Human Research Ethics Committee: H-2014-0330
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2021 |
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 (2021) [C1]
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2021 |
Fenton S, Burrows TL, Collins CE, Rayward AT, Murawski B, Duncan MJ, 'Efficacy of a Multi-Component m-Health Diet, Physical Activity, and Sleep Intervention on Dietary Intake in Adults with Overweight and Obesity: A Randomised Controlled Trial', NUTRIENTS, 13 (2021) [C1]
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2021 |
Ashton LM, Morgan PJ, Grounds JA, Young MD, Rayward AT, Barnes AT, et al., 'Dietary outcomes of the healthy youngsters, healthy dads randomised controlled trial', Nutrients, 13 (2021) [C1] Background: The effect of fathers on dietary intake in preschool-aged children is under-explored. The aims were to: (i) evaluate the efficacy of a family-based lifestyle intervent... [more] Background: The effect of fathers on dietary intake in preschool-aged children is under-explored. The aims were to: (i) evaluate the efficacy of a family-based lifestyle intervention, Healthy Youngsters, Healthy Dads, on change in dietary intake in fathers and their preschool-aged children post-intervention (10 weeks) and at 9 months follow-up compared to a waitlist control group and (ii) investigate associations in father¿child dietary intakes. Methods: Linear mixed models estimated group-by-time effects for all dietary outcomes, measured by food frequency questionnaires. Cohen¿s d determined effect sizes, while correlation tests determined associations in father¿child dietary intakes. Results: For children, medium group-by-time effects sizes were identified at 10 weeks for sodium intake (d = 0.38) and percentage energy from core foods (d = 0.43), energy-dense, nutrient-poor (EDNP) foods (d = 0.43) and prepacked snacks (d = 0.45). These findings were sustained at 9 months follow-up. For fathers, medium to large, group-by-time effect sizes were identified at 10 weeks for energy intake (d = 0.55), sodium intake (d = 0.64) and percentage energy from core foods (d = 0.49), EDNP foods (d = 0.49), and confectionary (d = 0.36). For all of these dietary variables, except sodium, effects were sustained at 9 months. Moderate to strong associations existed in father¿child dietary intakes for some of the dietary variables. Conclusions: Although further research is required, this study provides preliminary support for targeting fathers as agents of change to improve dietary intakes in their preschool-aged children.
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2021 |
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.
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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]
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2021 |
Oftedal S, Rayward AT, Fenton S, Duncan MJ, 'Sleep, Diet, Activity, and Incident Poor Self-Rated Health: A Population-Based Cohort Study', HEALTH PSYCHOLOGY, 40 252-262 (2021) [C1]
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2021 |
Rayward AT, Vandelanotte C, Van Itallie A, Duncan MJ, 'The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study', JOURNAL OF MEDICAL INTERNET RESEARCH, 23 (2021) [C1]
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2020 |
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.
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2020 |
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.
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2020 |
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]
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2020 |
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.
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2019 |
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]
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2019 |
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]
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2019 |
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]
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2019 |
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]
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2018 |
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]
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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]
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Show 24 more journal articles |
Preprint (1 outputs)
Year | Citation | Altmetrics | Link | |||||
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2020 |
Rayward AT, Vandelanotte C, Van Itallie A, Duncan MJ, 'The Association Between Logging Steps Using a Website, App, or Fitbit and Engaging With the 10,000 Steps Physical Activity Program: Observational Study
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Grants and Funding
Summary
Number of grants | 7 |
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Total funding | $1,160,371 |
Click on a grant title below to expand the full details for that specific grant.
20232 grants / $963,072
Improving activity-sleep patterns to enhance glucose control in higher risk mid aged adults$958,072
Funding body: Department of Health and Aged Care
Funding body | Department of Health and Aged Care |
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Project Team | Professor Mitch Duncan, Doctor Anna Rayward, Christopher Kline, Doctor Grace Vincent, Doctor Christopher Kline, Prof Sally Ferguson, Professor Sally Ferguson, Professor Gary Wittert, Dr Grace Vincent |
Scheme | MRFF - PPHRI & EPCDRI - Effective Treatments and Therapies |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2024 |
GNo | G2200873 |
Type Of Funding | C1300 - Aust Competitive - Medical Research Future Fund |
Category | 1300 |
UON | Y |
Improving the mental health of teenage girls – What do teenage girls and fathers think about a daughters & dads program?$5,000
Funding body: University of Newcastle
Funding body | University of Newcastle |
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Project Team | Doctor Lee Ashton, Professor Philip Morgan, Doctor Anna Rayward |
Scheme | Pilot Funding Scheme |
Role | Investigator |
Funding Start | 2023 |
Funding Finish | 2023 |
GNo | G2300484 |
Type Of Funding | Internal |
Category | INTE |
UON | Y |
20223 grants / $88,882
Adapting and evaluating the Healthy Dads Healthy Kids programme in Germany$42,663
Funding body: Federal Ministry of Health (Germany)
Funding body | Federal Ministry of Health (Germany) |
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Project Team | Professor Philip Morgan, Doctor Anna Rayward, Doctor Lee Ashton, Dr Tilman Brand, Dr Heide Busse, Dr Mirko Brandes |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2022 |
Funding Finish | 2024 |
GNo | G2200540 |
Type Of Funding | C3500 – International Not-for profit |
Category | 3500 |
UON | Y |
HMRI Research Team of the Year Award - Daughters and Dads Active and Empowered$30,000
Funding body: Hunter Medical Research Institute
Funding body | Hunter Medical Research Institute |
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Project Team | Professor Philip Morgan, Doctor Lee Ashton, Associate Professor Narelle Eather, Professor David Lubans, Doctor Emma Pollock, Doctor Anna Rayward, Doctor Myles Young |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2022 |
Funding Finish | 2022 |
GNo | G2101429 |
Type Of Funding | C3300 – Aust Philanthropy |
Category | 3300 |
UON | Y |
Cultural adaptation of the Daughters and Dads Active and Empowered program for AUSTRIA $16,219
Funding body: SPORTUNION Wien
Funding body | SPORTUNION Wien |
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Project Team | Professor Philip Morgan, Doctor Myles Young, Associate Professor Narelle Eather, Doctor Anna Rayward, Matthias Lichem, Stefan Meier |
Scheme | Research Grant |
Role | Investigator |
Funding Start | 2022 |
Funding Finish | 2023 |
GNo | G2200166 |
Type Of Funding | C3500 – International Not-for profit |
Category | 3500 |
UON | Y |
20212 grants / $108,417
Efficacy Trial of a Program for Weight Loss for Hispanic Fathers and Increased Physical Activity for their Children: Healthy Dads, Healthy Kids$105,917
Funding body: NIH National Institutes of Health
Funding body | NIH National Institutes of Health |
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Project Team | Professor Philip Morgan, Assistant Professor Teresia O'Connor, Doctor Anna Rayward |
Scheme | NIH Research Project Grant |
Role | Investigator |
Funding Start | 2021 |
Funding Finish | 2025 |
GNo | G2101238 |
Type Of Funding | C3800 – International Govt - Other |
Category | 3800 |
UON | Y |
Research Output Scheme Funding$2,500
Funding body: College of Human and Social Futures, University of Newcastle
Funding body | College of Human and Social Futures, University of Newcastle |
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Project Team | Anna Rayward |
Scheme | 2021 CHSF Research Output Scheme |
Role | Lead |
Funding Start | 2021 |
Funding Finish | 2021 |
GNo | |
Type Of Funding | Internal |
Category | INTE |
UON | N |
Research Supervision
Number of supervisions
Current Supervision
Commenced | Level of Study | Research Title | Program | Supervisor Type |
---|---|---|---|---|
2023 | PhD | Using a Learning Health System to Improve Perinatal Mental Wellbeing with a Text Message Service | PhD (Public Health & BehavSci), College of Health, Medicine and Wellbeing, The University of Newcastle | Co-Supervisor |
Dr Anna Rayward
Position
Senior Research Assistant
School of Medicine and Public Health
College of Health, Medicine and Wellbeing