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      Effectiveness and cost-effectiveness of the GoActive intervention to increase physical activity among UK adolescents: A cluster randomised controlled trial

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          Abstract

          Background

          Less than 20% of adolescents globally meet recommended levels of physical activity, and not meeting these recommended levels is associated with social disadvantage and rising disease risk. The determinants of physical activity in adolescents are multilevel and poorly understood, but the school’s social environment likely plays an important role. We conducted a cluster randomised controlled trial to assess the effectiveness of a school-based programme (GoActive) to increase moderate-to-vigorous physical activity (MVPA) among adolescents.

          Methods and findings

          Non-fee-paying, co-educational schools including Year 9 students in the UK counties of Cambridgeshire and Essex were eligible for inclusion. Within participating schools ( n = 16), all Year 9 students were eligible and invited to participate. Participants were 2,862 13- to 14-year-olds (84% of eligible students). After baseline assessment, schools were computer-randomised, stratified by school-level pupil premium funding (below/above county-specific median) and county (control: 8 schools, 1,319 participants, mean [SD] participants per school n = 165 [62]; intervention: 8 schools, 1,543 participants, n = 193 [43]). Measurement staff were blinded to allocation. The iteratively developed, feasibility-tested 12-week intervention, aligned with self-determination theory, trained older adolescent mentors and in-class peer-leaders to encourage classes to conduct 2 new weekly activities. Students and classes gained points and rewards for engaging in any activity in or out of school. The primary outcome was average daily minutes of accelerometer-assessed MVPA at 10-month follow-up; a mixed-methods process evaluation evaluated implementation. Of 2,862 recruited participants (52.1% male), 2,167 (76%) attended 10-month follow-up measurements; we analysed the primary outcome for 1,874 participants (65.5%). At 10 months, there was a mean (SD) decrease in MVPA of 8.3 (19.3) minutes in the control group and 10.4 (22.7) minutes in the intervention group (baseline-adjusted difference [95% confidence interval] −1.91 minutes [−5.53 to 1.70], p = 0.316). The programme cost £13 per student compared with control; it was not cost-effective. Overall, 62.9% of students and 87.3% of mentors reported that GoActive was fun. Teachers and mentors commented that their roles in programme delivery were unclear. Implementation fidelity was low. The main methodological limitation of this study was the relatively affluent and ethnically homogeneous sample.

          Conclusions

          In this study, we observed that a rigorously developed school-based intervention was no more effective than standard school practice at preventing declines in adolescent physical activity. 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

          ISRCTN Registry ISRCTN31583496.

          Abstract

          Kirsten Corder and colleagues report the findings from of a school-based programme (GoActive) to increase moderate-to-vigorous physical activity among adolescents in the UK.

          Author summary

          Why was this study done?
          • Regular physical activity in adolescence is associated with mental and physical health benefits, but adolescent physical activity levels are low.

          • Schools offer a way of promoting physical activity in all adolescents, but interventions need to consider the out-of-school period as well.

          • There is limited previous research evaluating adolescent physical activity promotion in large samples with device-measured physical activity and long-term follow-up.

          What did the researchers do and find?
          • We conducted a cluster randomised controlled trial of the GoActive intervention, a feasibility-tested physical activity promotion programme co-designed with adolescents.

          • After recruiting 2,862 adolescents aged 13–14 years, we found that the GoActive intervention was no more effective than the control condition in preventing declines in adolescent physical activity at 10-month follow-up.

          • The process evaluation data show that GoActive was not implemented as intended.

          What do these findings mean?
          • Consistent with previous studies, this research-driven approach to school-based physical activity promotion was not effective, with implementation challenges likely playing an important role in the lack of effect.

          • Improved understanding of the implementation and delivery challenges of public health interventions in secondary schools is required to improve the effectiveness of physical activity promotion approaches.

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          Most cited references42

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          Global trends in insufficient physical activity among adolescents: a pooled analysis of 298 population-based surveys with 1·6 million participants

          Summary Background Physical activity has many health benefits for young people. In 2018, WHO launched More Active People for a Healthier World, a new global action on physical activity, including new targets of a 15% relative reduction of global prevalence of insufficient physical activity by 2030 among adolescents and adults. We describe current prevalence and trends of insufficient physical activity among school-going adolescents aged 11–17 years by country, region, and globally. Methods We did a pooled analysis of cross-sectional survey data that were collected through random sampling with a sample size of at least 100 individuals, were representative of a national or defined subnational population, and reported prevalence of of insufficient physical activity by sex in adolescents. Prevalence had to be reported for at least three of the years of age within the 10–19-year age range. We estimated the prevalence of insufficient physical activity in school-going adolescents aged 11–17 years (combined and by sex) for individual countries, for four World Bank income groups, nine regions, and globally for the years 2001–16. To derive a standard definition of insufficient physical activity and to adjust for urban-only survey coverage, we used regression models. We estimated time trends using multilevel mixed-effects modelling. Findings We used data from 298 school-based surveys from 146 countries, territories, and areas including 1·6 million students aged 11–17 years. Globally, in 2016, 81·0% (95% uncertainty interval 77·8–87·7) of students aged 11–17 years were insufficiently physically active (77·6% [76·1–80·4] of boys and 84·7% [83·0–88·2] of girls). Although prevalence of insufficient physical activity significantly decreased between 2001 and 2016 for boys (from 80·1% [78·3–81·6] in 2001), there was no significant change for girls (from 85·1% [83·1–88·0] in 2001). There was no clear pattern according to country income group: insufficient activity prevalence in 2016 was 84·9% (82·6–88·2) in low-income countries, 79·3% (77·2–87·5) in lower–middle-income countries, 83·9% (79·5–89·2) in upper–middle-income countries, and 79·4% (74·0–86·2) in high-income countries. The region with the highest prevalence of insufficient activity in 2016 was high-income Asia Pacific for both boys (89·0%, 62·8–92·2) and girls (95·6%, 73·7–97·9). The regions with the lowest prevalence were high-income western countries for boys (72·1%, 71·1–73·6), and south Asia for girls (77·5%, 72·8–89·3). In 2016, 27 countries had a prevalence of insufficient activity of 90% or more for girls, whereas this was the case for two countries for boys. Interpretation The majority of adolescents do not meet current physical activity guidelines. Urgent scaling up of implementation of known effective policies and programmes is needed to increase activity in adolescents. Investment and leadership at all levels to intervene on the multiple causes and inequities that might perpetuate the low participation in physical activity and sex differences, as well as engagement of youth themselves, will be vital to strengthen the opportunities for physical activity in all communities. Such action will improve the health of this and future young generations and support achieving the 2030 Sustainable Development Goals. Funding WHO.
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            Guidance for reporting intervention development studies in health research (GUIDED): an evidence-based consensus study

            Objective To improve the quality and consistency of intervention development reporting in health research. Design This was a consensus exercise consisting of two simultaneous and identical three-round e-Delphi studies (one with experts in intervention development and one with wider stakeholders including funders, journal editors and public involvement members), followed by a consensus workshop. Delphi items were systematically derived from two preceding systematic reviews and a qualitative interview study. Participants Intervention developers (n=26) and wider stakeholders (n=18) from the UK, North America and Europe participated in separate e-Delphi studies. Intervention developers (n=13) and wider stakeholders (n=13) participated in a 1-day consensus workshop. Results e-Delphi participants achieved consensus on 15 reporting items. Following feedback from the consensus meeting, the final inclusion and wording of 14 items with description and explanations for each item were agreed. Items focus on context, purpose, target population, approaches, evidence, theory, guiding principles, stakeholder contribution, changes in content or format during the development process, required changes for subgroups, continuing uncertainties, and open access publication. They form the GUIDED (GUIDance for the rEporting of intervention Development) checklist, which contains a description and explanation of each item, alongside examples of good reporting. Conclusions Consensus-based reporting guidance for intervention development in health research is now available for publishers and researchers to use. GUIDED has the potential to lead to greater transparency, and enhance quality and improve learning about intervention development research and practice.
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              Is it possible to assess free-living physical activity and energy expenditure in young people by self-report?

              It is unclear whether it is possible to accurately estimate physical activity energy expenditure (PAEE) by self-report in youth. We assessed the validity and reliability of 4 self-reports to assess PAEE and time spent at moderate and vigorous intensity physical activity (MVPA) over the previous week in British young people between 4 and 17 y of age. PAEE and MVPA were derived from the Children's Physical Activity Questionnaire, Youth Physical Activity Questionnaire, and Swedish Adolescent Physical Activity Questionnaire; a lifestyle score indicative of habitual activity was derived from the Child Heart and Health Study in England Questionnaire. These data were compared with criterion methods, PAEE, and MVPA derived from simultaneous measurements by doubly labeled water and accelerometry in 3 age groups: 4-5 y (n = 27), 12-13 y (n = 25), and 16-17 y (n = 24). Validity was assessed by using Spearman correlations and the Bland-Altman method, and reliability was assessed by using intraclass correlation coefficients. The strength of association between questionnaire and criterion methods varied (r = 0.09 to r = 0.46). Some questionnaires were able to accurately assess group-level PAEE and MVPA for some age groups, but the error was large for individual-level estimates throughout. Reliability of the Youth Physical Activity Questionnaire and Child Heart and Health Study in England Questionnaire was good (intraclass correlation coefficient: 0.64-0.92). Absolute PAEE and MVPA estimated from these self-reports were not valid on an individual level in young people, although some questionnaires appeared to rank individuals accurately. Age (the outcome of interest) and whether individual or group-level estimates are necessary will influence the best choice of self-report method when assessing physical activity in youth.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: Project administrationRole: Writing – review & editing
                Role: Data curationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                23 July 2020
                July 2020
                : 17
                : 7
                : e1003210
                Affiliations
                [1 ] UKCRC Centre for Diet and Activity Research, University of Cambridge, Cambridge, United Kingdom
                [2 ] MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom
                [3 ] Faculty of Medicine and Health Sciences, University of East Anglia, Norwich, United Kingdom
                [4 ] Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
                [5 ] Faculty of Education, University of Cambridge, Cambridge, United Kingdom
                [6 ] Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
                [7 ] Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
                [8 ] Health Economics Group, Norwich Medical School, University of East Anglia, Norwich, United Kingdom
                Harvard Medical School, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2744-3501
                http://orcid.org/0000-0003-2375-1440
                http://orcid.org/0000-0002-5012-7187
                http://orcid.org/0000-0002-2625-8478
                http://orcid.org/0000-0001-5819-0845
                http://orcid.org/0000-0002-9268-212X
                http://orcid.org/0000-0003-3302-9662
                http://orcid.org/0000-0002-8369-1577
                http://orcid.org/0000-0001-9141-9082
                Article
                PMEDICINE-D-20-00312
                10.1371/journal.pmed.1003210
                7377379
                32701954
                de322802-1115-442e-8fe1-2cfd3ae8dac9
                © 2020 Corder et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 February 2020
                : 1 July 2020
                Page count
                Figures: 4, Tables: 2, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001921, Public Health Research Programme;
                Award ID: 13/90/18
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: MC_UU_12015/7
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 087636/Z/08/Z
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000269, Economic and Social Research Council;
                Award ID: ES/G007462/1
                Award Recipient :
                Funded by: Medical Research Council
                Award ID: MR/K023187/1
                Award Recipient :
                This study is funded by the National Institute for Health Research (NIHR) Public Health Research Programme ( https://www.nihr.ac.uk/explore-nihr/funding-programmes/public-health-research.htm; award number: 13/90/18; awarded to: KC, EvS, PW, AV, CC, EW). This work was additionally supported by the Medical Research Council [ https://mrc.ukri.org/; Unit Programme number MC_UU_12015/7; awarded to EvS], and undertaken under the auspices of the Centre for Diet and Activity Research (CEDAR), a UKCRC Public Health Research Centre of Excellence. Funding from the British Heart Foundation, Cancer Research UK, Economic and Social Research Council, Medical Research Council, the National Institute for Health Research, and the Wellcome Trust, under the auspices of the UK Clinical Research Collaboration, is gratefully acknowledged [ https://www.ukcrc.org/research-coordination/joint-funding-initiatives/public-health-research/; award numbers: 087636/Z/08/Z; ES/G007462/1; MR/K023187/1; awarded to EvS]. This work was also supported by NIHR Biomedical Research Centre Cambridge: Nutrition, Diet, and Lifestyle Research Theme (Grant IS-BRC-1215-20014) to KC, EvS. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Data cannot be shared publicly because of the semi-identifiable nature of the data. Data are available from the MRC Epidemiology Unit(contact via datasharing@ 123456mrc-epid.cam.ac.uk ) on approval of an analysis plan for researchers who meet the criteria for access to confidential data. The data underlying the results presented in the study are available via datasharing@ 123456mrc-epid.cam.ac.uk .

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