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Simpson CEM, Curtis RG, Virgara R, Crisp M, Licari S, James M, Reece L, Maher CA. Financial Incentives for Physical Activity and Sports Participation in Young People. Exerc Sport Sci Rev 2024; 52:108-114. [PMID: 38437580 DOI: 10.1249/jes.0000000000000336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Abstract
Physical inactivity is a global health problem. Childhood is an opportune time to establish healthy physical activity behaviors, including the participation in organized physical activity, such as sports. We hypothesize that financial incentives can improve young people's participation in physical activity and sports. The design of the incentive and the context in which it operates are crucial to its success.
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Affiliation(s)
- Catherine E M Simpson
- UniSA Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, GPO Box 2471 Adelaide, South Australia 5001, Australia
| | - Rachel G Curtis
- UniSA Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, GPO Box 2471 Adelaide, South Australia 5001, Australia
| | - Rosa Virgara
- UniSA Allied Health and Human Performance, University of South Australia, GPO Box 2471 Adelaide, South Australia 5001, Australia
| | - Michelle Crisp
- Office for Recreation, Sport and Racing, Government of South Australia, PO Box 219 Brooklyn Park, South Australia 5032, Australia
| | - Simone Licari
- Office for Recreation, Sport and Racing, Government of South Australia, PO Box 219 Brooklyn Park, South Australia 5032, Australia
| | - Michaela James
- National Centre of Population Health and Wellbeing Research, Swansea University Medical School, Singleton Park, Swansea SA28PP Wales
| | - Lindsey Reece
- Australian Sports Commission, Australian Government, PO Box 176, Belconnen, ACT 2616, Australia
| | - Carol A Maher
- UniSA Allied Health and Human Performance, Alliance for Research in Exercise, Nutrition and Activity, University of South Australia, GPO Box 2471 Adelaide, South Australia 5001, Australia
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Contardo Ayala AM, Parker K, Mazzoli E, Lander N, Ridgers ND, Timperio A, Lubans DR, Abbott G, Koorts H, Salmon J. Effectiveness of Intervention Strategies to Increase Adolescents' Physical Activity and Reduce Sedentary Time in Secondary School Settings, Including Factors Related to Implementation: A Systematic Review and Meta-Analysis. SPORTS MEDICINE - OPEN 2024; 10:25. [PMID: 38472550 DOI: 10.1186/s40798-024-00688-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 02/21/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Globally, just one in five adolescents meet physical activity guidelines and three-quarters of the school day is spent sitting. It is unclear which types of school-based interventions strategies increase physical activity and reduce sedentary time among adolescents, or how these interventions are implemented influences their effectiveness. OBJECTIVE The three aims of our systematic review were to (a) identify intervention strategies used within secondary school settings to improve students' movement behaviours throughout school-based initiatives, delivered at or by the school; (b) determine the overall effect of the interventions (meta-analysis) on physical activity (all intensities), sedentary time, cognitive/academic, physical health and/or psychological outcomes; and (c) describe factors related to intervention implementation. METHODS Searches were conducted in MEDLINE complete, EMBASE, CINAHL, SPORTDiscus, APA PsycINFO, and ERIC in January 2023 for studies that (a) included high school-aged adolescents; (b) involved a school-based intervention to increase physical activity and/or decrease sedentary time; and (c) were published in English. Reported effects were pooled in meta-analyses where sufficient data were obtained. RESULTS Eighty-five articles, representing 61 interventions, met the inclusion criteria, with 23 unique intervention strategies used. Interventions that involved whole-school approaches (i.e., physical activity sessions, environmental modifications, teacher training, peer support and/or educational resources) were favourably associated with most of the outcomes. The meta-analyses showed: (a) non-significant effects for sedentary time (Standardized mean difference [SMD] = -0.02; 95%CI, -0.14, 0.11), physical activity at all intensities (light: SMD= -0.01; 95%CI, -0.08, 0.05; moderate: SMD = 0.06; 95%CI, -0.09, 0.22; vigorous: SMD = 0.08; 95%CI, -0.02, 0.18; moderate-to-vigorous: SMD = 0.05; 95%CI, -0.01, 0.12) and waist circumference (SMD = 0.09; 95%CI, -0.03, 0.21), and (b) a small statistically significant decrease in body mass index (SMD= -0.09, 95%CI -0.16, -0.0). Factors related to intervention implementation were reported in 51% of the articles. CONCLUSION While some intervention approaches demonstrated promise, small or null effects were found in meta-analyses. Future school-based interventions should utilize a whole-school approach designed to increase adolescents' activity across the day. Consistent reporting of implementation will increase understanding of how interventions are adopted, implemented and sustained. REGISTRATION PROSPERO (CRD42020169988).
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Affiliation(s)
- Ana María Contardo Ayala
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia.
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia.
| | - Kate Parker
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Emiliano Mazzoli
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Health and Social Development, Deakin University, Geelong, Victoria, Australia
| | - Natalie Lander
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Nicola D Ridgers
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), Allied Health & Human Performance, University of South Australia, Adelaide, South Australia, , Australia
| | - Anna Timperio
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - David R Lubans
- Centre for Active Living and Learning, College of Human and Social Futures, University of Newcastle, Newcastle, NSW, Australia
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
- Hunter Medical Research institute, New Lambton Heights, NSW, Australia
| | - Gavin Abbott
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Harriet Koorts
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
| | - Jo Salmon
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, Victoria, Australia
- School of Exercise and Nutrition Sciences, Deakin University, Geelong, Victoria, Australia
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Foley BC, Turner N, Owen KB, Cushway D, Nguyen J, Reece LJ. "It Goes Hand in Hand with Us Trying to Get More Kids to Play" Stakeholder Experiences in a Sport and Active Recreation Voucher Program. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:4081. [PMID: 36901093 PMCID: PMC10001936 DOI: 10.3390/ijerph20054081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 02/18/2023] [Accepted: 02/22/2023] [Indexed: 06/18/2023]
Abstract
Vouchers that reduce the cost of sport and active recreation participation have been shown to increase children's and adolescent's physical activity levels. Yet, the influence of government-led voucher programs on the capacity of sport and active recreation organisations is unclear. This qualitative study explored the experiences of stakeholders in the sport and recreation sector that were engaged in implementing the New South Wales (NSW) Government's Active Kids voucher program in Australia. Semi-structured interviews were conducted with 29 sport and active recreation providers. Interview transcriptions were analysed by a multidisciplinary team using the Framework method. Overall, participants reported that the Active Kids voucher program was an acceptable intervention to address the cost barrier to participation for children and adolescents. Three main steps influenced the capacity of organisations to deliver their sport and recreation programs and the voucher program: (1) Implementation priming-alignment of the intervention aims with stakeholder priorities and early information sharing, (2) Administrative ease-enhanced technology use and establishment of simple procedures, and (3) Innovation impacts-enablement of staff and volunteers to address barriers to participation for their participants. Future voucher programs should include strategies to enhance the capacity of sport and active recreation organisations to meet program guidelines and increase innovation.
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Affiliation(s)
- Bridget C. Foley
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Natalie Turner
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - Katherine B. Owen
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
| | - David Cushway
- Office of Sport, New South Wales Government, Sydney Olympic Park, NSW 2127, Australia
| | - Jacqueline Nguyen
- Office of Sport, New South Wales Government, Sydney Olympic Park, NSW 2127, Australia
| | - Lindsey J. Reece
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia
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Snell DT, Lockey PD, Thompson DJ. Socioeconomic status is associated with mechanism and intent of injury in patients presenting to a UK Major Trauma Centre. Injury 2023; 54:497-501. [PMID: 36379740 DOI: 10.1016/j.injury.2022.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/31/2022] [Accepted: 11/07/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Lower socioeconomic status (SES) is linked to poorer health, health outcomes and higher rates of trauma. The aim of this study was to investigate the impact SES had on the mechanism and intent of trauma in patients presenting to a UK regional Major Trauma Centre (MTC). MATERIALS AND METHODS Trauma data from a UK MTC over a five-year period was obtained from the Trauma Audit and Research Network. Deprivation data was obtained from English Indices of Multiple Deprivation 2019 data and the study population classified into quintiles. Odds ratios were calculated, comparing mechanism and intent of trauma with each SES quintile with the least deprived quintile as the baseline for comparison. RESULTS Lower SES was associated with an increased odds ratio of undifferentiated trauma (OR 1.32, P<0.001). Falls from less than 2m constitute most trauma presentations and were not associated with SES (OR 1.09, P=0.114, 58.3% of trauma). The greater odds ratios for trauma in the socially deprived was accounted for by an increase in high-energy mechanisms and injury intents that include falls more than 2m (OR 1.75), stabbing (OR 5.18), blow injury (OR 2.75), high-risk behaviour (OR 4.61), assault (OR 6.63) and self-harm (OR 2.94) (P-values <0.001). CONCLUSION In this large, retrospective analysis of a UK MTC, we have shown that the increased risk of trauma seen with lower SES is not uniform across all mechanisms or intents and is mediated by high-energy and violent mechanisms. Targeted public health education and intervention within these demographics, appropriate to mechanisms observed as over-represented, may prove beneficial in the primary prevention of trauma, and help to guide local health service planning.
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Affiliation(s)
| | - Professor David Lockey
- Adult Intensive Care Unit, Southmead Hospital Bristol, UK; Severn Major Trauma Network, UK
| | - Dr Julian Thompson
- Adult Intensive Care Unit, Southmead Hospital Bristol, UK; Severn Major Trauma Network, UK
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Neil-Sztramko SE, Caldwell H, Dobbins M. School-based physical activity programs for promoting physical activity and fitness in children and adolescents aged 6 to 18. Cochrane Database Syst Rev 2021; 9:CD007651. [PMID: 34555181 PMCID: PMC8459921 DOI: 10.1002/14651858.cd007651.pub3] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
BACKGROUND Physical activity among children and adolescents is associated with lower adiposity, improved cardio-metabolic health, and improved fitness. Worldwide, fewer than 30% of children and adolescents meet global physical activity recommendations of at least 60 minutes of moderate to vigorous physical activity per day. Schools may be ideal sites for interventions given that children and adolescents in most parts of the world spend a substantial amount of time in transit to and from school or attending school. OBJECTIVES The purpose of this review update is to summarise the evidence on effectiveness of school-based interventions in increasing moderate to vigorous physical activity and improving fitness among children and adolescents 6 to 18 years of age. Specific objectives are: • to evaluate the effects of school-based interventions on increasing physical activity and improving fitness among children and adolescents; • to evaluate the effects of school-based interventions on improving body composition; and • to determine whether certain combinations or components (or both) of school-based interventions are more effective than others in promoting physical activity and fitness in this target population. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, BIOSIS, SPORTDiscus, and Sociological Abstracts to 1 June 2020, without language restrictions. We screened reference lists of included articles and relevant systematic reviews. We contacted primary authors of studies to ask for additional information. SELECTION CRITERIA Eligible interventions were relevant to public health practice (i.e. were not delivered by a clinician), were implemented in the school setting, and aimed to increase physical activity among all school-attending children and adolescents (aged 6 to 18) for at least 12 weeks. The review was limited to randomised controlled trials. For this update, we have added two new criteria: the primary aim of the study was to increase physical activity or fitness, and the study used an objective measure of physical activity or fitness. Primary outcomes included proportion of participants meeting physical activity guidelines and duration of moderate to vigorous physical activity and sedentary time (new to this update). Secondary outcomes included measured body mass index (BMI), physical fitness, health-related quality of life (new to this update), and adverse events (new to this update). Television viewing time, blood cholesterol, and blood pressure have been removed from this update. DATA COLLECTION AND ANALYSIS: Two independent review authors used standardised forms to assess each study for relevance, to extract data, and to assess risk of bias. When discrepancies existed, discussion occurred until consensus was reached. Certainty of evidence was assessed according to GRADE. A random-effects meta-analysis based on the inverse variance method was conducted with participants stratified by age (children versus adolescents) when sufficient data were reported. Subgroup analyses explored effects by intervention type. MAIN RESULTS Based on the three new inclusion criteria, we excluded 16 of the 44 studies included in the previous version of this review. We screened an additional 9968 titles (search October 2011 to June 2020), of which 978 unique studies were potentially relevant and 61 met all criteria for this update. We included a total of 89 studies representing complete data for 66,752 study participants. Most studies included children only (n = 56), followed by adolescents only (n = 22), and both (n = 10); one study did not report student age. Multi-component interventions were most common (n = 40), followed by schooltime physical activity (n = 19), enhanced physical education (n = 15), and before and after school programmes (n = 14); one study explored both enhanced physical education and an after school programme. Lack of blinding of participants, personnel, and outcome assessors and loss to follow-up were the most common sources of bias. Results show that school-based physical activity interventions probably result in little to no increase in time engaged in moderate to vigorous physical activity (mean difference (MD) 0.73 minutes/d, 95% confidence interval (CI) 0.16 to 1.30; 33 studies; moderate-certainty evidence) and may lead to little to no decrease in sedentary time (MD -3.78 minutes/d, 95% CI -7.80 to 0.24; 16 studies; low-certainty evidence). School-based physical activity interventions may improve physical fitness reported as maximal oxygen uptake (VO₂max) (MD 1.19 mL/kg/min, 95% CI 0.57 to 1.82; 13 studies; low-certainty evidence). School-based physical activity interventions may result in a very small decrease in BMI z-scores (MD -0.06, 95% CI -0.09 to -0.02; 21 studies; low-certainty evidence) and may not impact BMI expressed as kg/m² (MD -0.07, 95% CI -0.15 to 0.01; 50 studies; low-certainty evidence). We are very uncertain whether school-based physical activity interventions impact health-related quality of life or adverse events. AUTHORS' CONCLUSIONS Given the variability of results and the overall small effects, school staff and public health professionals must give the matter considerable thought before implementing school-based physical activity interventions. Given the heterogeneity of effects, the risk of bias, and findings that the magnitude of effect is generally small, results should be interpreted cautiously.
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Affiliation(s)
| | - Hilary Caldwell
- Department of Kinesiology, Child Health & Exercise Medicine Program, McMaster University, Hamilton, Canada
| | - Maureen Dobbins
- School of Nursing, McMaster University, Hamilton, Canada
- National Collaborating Centre for Methods and Tools, Hamilton, Canada
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Corder KL, Brown HE, Croxson CHD, Jong ST, Sharp SJ, Vignoles A, Wilkinson PO, Wilson ECF, van Sluijs EMF. A school-based, peer-led programme to increase physical activity among 13- to 14-year-old adolescents: the GoActive cluster RCT. PUBLIC HEALTH RESEARCH 2021. [DOI: 10.3310/phr09060] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
Adolescent physical activity levels are low and are associated with rising disease risk and social disadvantage. The Get Others Active (GoActive) intervention was co-designed with adolescents and teachers to increase physical activity in adolescents.
Objective
To assess the effectiveness and cost-effectiveness of the school-based GoActive programme in increasing adolescents’ moderate-to-vigorous physical activity.
Design
A cluster randomised controlled trial with an embedded mixed-methods process evaluation.
Setting
Non-fee-paying schools in Cambridgeshire and Essex, UK (n = 16). Schools were computer randomised and stratified by socioeconomic position and county.
Participants
A total of 2862 Year 9 students (aged 13–14 years; 84% of eligible students).
Intervention
The iteratively developed feasibility-tested refined 12-week intervention trained older adolescents (mentors) and in-class peer leaders to encourage classes to undertake two new weekly activities. Mentors met with classes weekly. Students and classes gained points and rewards for activity in and out of school.
Main outcome measures
The primary outcome was average daily minutes of accelerometer-assessed moderate-to-vigorous physical activity at 10 months post intervention. Secondary outcomes included accelerometer-assessed activity during school, after school and at weekends; self-reported physical activity and psychosocial outcomes; cost-effectiveness; well-being and a mixed-methods process evaluation. Measurement staff were blinded to allocation.
Results
Of 2862 recruited participants, 2167 (76%) attended 10-month follow-up measurements and we analysed the primary outcome for 1874 (65.5%) participants. At 10 months, there was a mean decrease in moderate-to-vigorous physical activity of 8.3 (standard deviation 19.3) minutes in control participants and 10.4 (standard deviation 22.7) minutes in intervention participants (baseline-adjusted difference –1.91 minutes, 95% confidence interval –5.53 to 1.70 minutes; p = 0.316). The programme cost £13 per student compared with control. Therefore, it was not cost-effective. Non-significant indications of differential impacts suggested detrimental effects among boys (boys –3.44, 95% confidence interval –7.42 to 0.54; girls –0.20, 95% confidence interval –3.56 to 3.16), but favoured adolescents from lower socioeconomic backgrounds (medium/low 4.25, 95% confidence interval –0.66 to 9.16; high –2.72, 95% confidence interval –6.33 to 0.89). Mediation analysis did not support the use of any included intervention components to increase physical activity. Some may have potential for improving well-being. Students, teachers and mentors mostly reported enjoying the GoActive intervention (56%, 87% and 50%, respectively), but struggled to conceptualise their roles. Facilitators of implementation included school support, embedding a routine, and mentor and tutor support. Challenges to implementation included having limited school space for activities, time, and uncertainty of teacher and mentor roles.
Limitations
Retention on the primary outcome at 10-month follow-up was low (65.5%), but we achieved our intended sample size, with retention comparable to similar trials.
Conclusions
A rigorously developed school-based intervention (i.e. GoActive) was not effective in countering the age-related decline in adolescent physical activity. Overall, this mixed-methods evaluation provides transferable insights for future intervention development, implementation and evaluation.
Future work
Interdisciplinary research is required to understand educational setting-specific implementation challenges. School leaders and authorities should be realistic about expectations of the effect of school-based physical activity promotion strategies implemented at scale.
Trial registration
Current Controlled Trials ISRCTN31583496.
Funding
This project was funded by the National Institute for Health Research (NIHR) Public Health Research programme and will be published in full in Public Health Research; Vol. 9, No. 6. See the NIHR Journals Library website for further project information. This work was additionally supported by the Medical Research Council (London, UK) (Unit Programme number MC_UU_12015/7) and undertaken under the auspices of the Centre for Diet and Activity Research (Cambridge, UK), a UK Clinical Research Collaboration Public Health Research Centre of Excellence. Funding from the British Heart Foundation (London, UK), Cancer Research UK (London, UK), Economic and Social Research Council (Swindon, UK), Medical Research Council, the National Institute for Health Research (Southampton, UK) and the Wellcome Trust (London, UK), under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged (087636/Z/08/Z; ES/G007462/1; MR/K023187/1). GoActive facilitator costs were borne by Essex and Cambridgeshire County Councils.
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Affiliation(s)
- Kirsten L Corder
- Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Helen E Brown
- Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Caroline HD Croxson
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Stephanie T Jong
- Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Stephen J Sharp
- Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Anna Vignoles
- Faculty of Education, University of Cambridge, Cambridge, UK
| | - Paul O Wilkinson
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Edward CF Wilson
- Cambridge Centre for Health Services Research, University of Cambridge, Cambridge, UK
- Health Economics Group, Norwich Medical School, University of East Anglia, Norwich, UK
| | - Esther MF van Sluijs
- Centre for Diet and Activity Research and MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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Virgona N, Foley BC, Ryan H, Nolan M, Reece L. 'One hundred dollars is a big help, but to continue, it's a challenge': A qualitative study exploring correlates and barriers to Active Kids voucher uptake in western Sydney. Health Promot J Austr 2021; 33:7-18. [PMID: 33570224 DOI: 10.1002/hpja.468] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 02/09/2021] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION The Active Kids voucher is a universal, state-wide voucher program, provided by the New South Wales (NSW) Government, Office of Sport. All school-aged children in NSW are eligible to receive a voucher to reduce registration costs of structured physical activity programs. This study explores reasons behind lower uptake among children who are overweight or obese, from cultural and linguistically diverse families and those living in low socio-economic areas. METHODS Participants were recruited through a convenience sample of parent/carers who participated in the NSW Health Go4Fun program. Qualitative data were collected using focus groups. The Framework method was adapted for the analysis, taking an interpretive phenomenological approach. RESULTS Study participants (n = 54) were all parents of children who were overweight or obese from both low and high socio-economic status (SES). Most reported speaking a primary language other than English at home (65%). Parents were mostly aware of the Active Kids program (91%) and reported that the voucher had a positive impact on their children's participation in structured physical activity. A range of socio-ecological factors, in addition to activity cost, influenced whether parents were able to use an Active Kids voucher and participate in structured physical activity. CONCLUSIONS The Active Kids voucher does not alleviate all barriers, particularly for families living in low socio-economic areas. Engagement of this population in structured physical activities using the Active Kids vouchers could be strengthened through the implementation of effective interventions which comprehensively address the remaining barriers, such as access and flexibility of programs with local stakeholders and activity providers.
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Affiliation(s)
- Natalie Virgona
- Centre for Population Health, Western Sydney Local Health District, Gungurra (Building 68) Cumberland Hospital, North Parramatta, NSW, Australia
| | - Bridget C Foley
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Camperdown, NSW, Australia
| | - Helen Ryan
- Centre for Population Health, Western Sydney Local Health District, Gungurra (Building 68) Cumberland Hospital, North Parramatta, NSW, Australia
| | - Michelle Nolan
- Centre for Population Health, Western Sydney Local Health District, Gungurra (Building 68) Cumberland Hospital, North Parramatta, NSW, Australia
| | - Lindsey Reece
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Camperdown, NSW, Australia
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Foley BC, Owen KB, Bauman AE, Bellew W, Reece LJ. Effects of the Active Kids voucher program on children and adolescents' physical activity: a natural experiment evaluating a state-wide intervention. BMC Public Health 2021; 21:22. [PMID: 33423663 PMCID: PMC7798231 DOI: 10.1186/s12889-020-10060-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 12/13/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND There is an urgent need for scaled-up effective interventions which overcome barriers to health-enhancing physical activity for children and adolescents. In New South Wales (NSW), Australia, the state government implemented a universal voucher program, 'Active Kids' to support the cost of structured physical activity registration for school-enrolled children aged 4.5-18 years old. The objective of this study was to understand the effects a financial incentive intervention delivered in a real-world setting has on children and adolescent's physical activity participation. METHOD In 2018, all children and adolescents registered for an Active Kids voucher provided sociodemographic characteristics, physical activity and research consent. This prospective cohort study used an online survey with validated items to measure physical activity and other personal and social factors in children and adolescents who used an Active Kids voucher. Generalized linear mixed models were used to examine changes from registration to after voucher use at ≤8 weeks, 9-26 weeks and ≥ 6 months. RESULTS Study participants reported increasing their days achieving physical activity guidelines from 4.0 days per week (95%CI 3.8, 4.2) at registration (n = 37,626 children) to 4.9 days per week (95%CI 4.7, 5.1) after 6 months (n = 14,118 children). Increased physical activity was observed for all sociodemographic population groups. The voucher-specific activity contributed 42.4% (95%CI 39.3, 45.5) to the total time children participated in structured physical activities outside of school. Children and adolescents who increased to, or maintained, high levels of activity were socially supported to be active, had active parent/caregivers, had better concentration and were overall happier than their low-active counterparts. CONCLUSION The Active Kids program significantly increased children's physical activity levels and these increases continued over a six-month period. The Active Kids voucher program shows promise as a scaled-up intervention to increase children and adolescents' physical activity participation. TRIAL REGISTRATION Australian New Zealand Clinical Trial Registry ACTRN12618000897268 , approved May 29th, 2018 - Retrospectively registered.
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Affiliation(s)
- Bridget C Foley
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, D17 Charles Perkins Centre, The University of Sydney, Level 6, the Hub, Camperdown, NSW, 2006, Australia.
| | - Katherine B Owen
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, D17 Charles Perkins Centre, The University of Sydney, Level 6, the Hub, Camperdown, NSW, 2006, Australia
| | - Adrian E Bauman
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, D17 Charles Perkins Centre, The University of Sydney, Level 6, the Hub, Camperdown, NSW, 2006, Australia
| | - William Bellew
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, D17 Charles Perkins Centre, The University of Sydney, Level 6, the Hub, Camperdown, NSW, 2006, Australia
| | - Lindsey J Reece
- SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research Group), Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, D17 Charles Perkins Centre, The University of Sydney, Level 6, the Hub, Camperdown, NSW, 2006, Australia
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Reach, Recruitment, Dose, and Intervention Fidelity of the GoActive School-Based Physical Activity Intervention in the UK: A Mixed-Methods Process Evaluation. CHILDREN-BASEL 2020; 7:children7110231. [PMID: 33212854 PMCID: PMC7698468 DOI: 10.3390/children7110231] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 11/16/2022]
Abstract
School-based multi-component physical activity (PA) promotion is advocated; however, research has indicated that a multi-component approach may not always be effective at increasing adolescent PA. Evaluation of the GoActive 12-week multi-component school-based intervention showed no effect on adolescent PA. A mixed-methods process evaluation was embedded to facilitate greater understanding of the results, to elicit subgroup perceptions, and to provide insight into contextual factors influencing intervention implementation. This paper presents the reach, recruitment, dose, and fidelity of GoActive, and identifies challenges to implementation. The process evaluation employed questionnaires (1543 Year 9s), individual interviews (16 Year 9s; 7 facilitators; 9 contact teachers), focus groups (48 Year 9s; 58 mentors), alongside GoActive website analytics and researcher observations. GoActive sessions reached 39.4% of Year 9s. Intervention satisfaction was relatively high for mentors (87.3%) and facilitators (85.7%), but lower for Year 9s (59.5%) and teachers (50%). Intervention fidelity was mixed within and between schools. Mentorship was the most implemented component. Factors potentially contributing to low implementation included ambiguity of the roles subgroups played within intervention delivery, Year 9 engagement, institutional support, and further school-level constraints. Multiple challenges and varying contextual considerations hindered the implementation of GoActive in multiple school sites. Methods to overcome contextual challenges to implementation warrant in-depth consideration and innovative approaches.
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Foley BC, Owen KB, Bellew W, Wolfenden L, Reilly K, Bauman AE, Reece LJ. Physical Activity Behaviors of Children Who Register for the Universal, State-Wide Active Kids Voucher: Who Did the Voucher Program Reach? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E5691. [PMID: 32781753 PMCID: PMC7460334 DOI: 10.3390/ijerph17165691] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 11/17/2022]
Abstract
Active Kids is a government-led, universal voucher program that aims to reduce the cost of participation in structured physical activity for all school-enrolled children in New South Wales (NSW), Australia. As part of the Active Kids program evaluation, this cross-sectional study examined the Active Kids' program's reach to children in NSW and their physical activity behaviors, before voucher use. Demographic registration data from all children (4.5-18 years old) who registered for an Active Kids voucher in 2018 (n = 671,375) were compared with Census data. Binary and multinomial regression models assessed which correlates were associated with meeting physical activity guidelines and participation in the sessions of structured physical activity. The Active Kids program attracted more than half (53%) of all eligible children in NSW. Children who spoke a primary language other than English at home, were aged 15-18 years old, lived in the most disadvantaged areas, and girls, were less likely to register. Of the registered children, 70% had attended structured physical activity sessions at least once a week during the previous 12 months, whilst 19% achieved physical activity guidelines. Active Kids achieved substantial population reach and has the potential to improve children's physical activity behaviors.
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Affiliation(s)
- Bridget C. Foley
- SPRINTER, Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Level 6, the Hub, Camperdown, NSW 2006, Australia; (K.B.O.); (W.B.); (A.E.B.); (L.J.R.)
| | - Katherine B. Owen
- SPRINTER, Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Level 6, the Hub, Camperdown, NSW 2006, Australia; (K.B.O.); (W.B.); (A.E.B.); (L.J.R.)
| | - William Bellew
- SPRINTER, Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Level 6, the Hub, Camperdown, NSW 2006, Australia; (K.B.O.); (W.B.); (A.E.B.); (L.J.R.)
| | - Luke Wolfenden
- The School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia; (L.W.); (K.R.)
| | - Kathryn Reilly
- The School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW 2308, Australia; (L.W.); (K.R.)
| | - Adrian E. Bauman
- SPRINTER, Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Level 6, the Hub, Camperdown, NSW 2006, Australia; (K.B.O.); (W.B.); (A.E.B.); (L.J.R.)
| | - Lindsey J. Reece
- SPRINTER, Prevention Research Collaboration, Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, D17 Charles Perkins Centre, Level 6, the Hub, Camperdown, NSW 2006, Australia; (K.B.O.); (W.B.); (A.E.B.); (L.J.R.)
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Owen KB, Foley BC, Bauman A, Bellew B, Reece LJ. Parental awareness and engagement in the Active Kids program across socioeconomic groups. J Sci Med Sport 2020; 23:753-757. [PMID: 32061526 DOI: 10.1016/j.jsams.2020.01.015] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2019] [Revised: 01/23/2020] [Accepted: 01/31/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVES In 2018, the New South Wales (NSW) Government implemented a State-wide program to reduce the cost barrier to organised sport and physical activity participation. We explored parent/carer's awareness and children's engagement in the Active Kids program across socioeconomic groups and used the NSW Population Health Survey (PHS) to validate engagement in the program. DESIGN Cross-sectional. METHODS Data were obtained from the 2018 NSW PHS and the Active Kids program registration database. We compared demographic characteristics of children who had registered for the program in the registration database with children in the weighted NSW PHS. Multinomial regression models were used to determine whether socioeconomic status was associated with parent/carer awareness and children's engagement in the program. RESULTS Parent/carer's in the most disadvantaged quartile were twice as likely to have never heard of the Active Kids program (OR: 2.04, 95% CIs 1.31, 3.16) or to have heard or the program but not registered (OR: 1.94, 95% CIs 1.26, 3.00), and more than twice as likely to have registered for a voucher, but not followed through and redeemed the voucher (OR: 2.68, 95% CIs 1.27, 5.63) compared with the least disadvantaged quartile. CONCLUSIONS The Active Kids program has provided financial support for organised sport and physical activity to a large number of children. However, there are still a substantial proportion of socially disadvantaged groups who are unaware or have not engaged in the program. Further targeted work is required to increase the awareness and engagement in the program for socially disadvantaged groups.
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Affiliation(s)
- Katherine B Owen
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia.
| | - Bridget C Foley
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Adrian Bauman
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia
| | - B Bellew
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Lindsey J Reece
- SPRINTER, Prevention Research Collaboration, Charles Perkins Centre, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Australia
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