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Salway R, House D, Walker R, Emm-Collison L, Breheny K, Sansum K, Williams JG, Hollingworth W, de Vocht F, Jago R. School-level variation in children's moderate to vigorous intensity physical activity before and after COVID-19: a multilevel model analysis. PUBLIC HEALTH RESEARCH 2024; 12:147-168. [PMID: 39360867 DOI: 10.3310/wqjk9893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2024] Open
Abstract
Background and objectives Schools play a crucial role in facilitating physical activity among children, but the COVID-19 pandemic has affected both children's physical activity and the school environment. It is essential to understand between-school differences in children's physical activity post lockdown, to determine if and how the role of schools has changed. Design and participants Active-6 is a natural experiment comparing postlockdown accelerometer-estimated physical activity to a pre-COVID-19 comparator group. Accelerometer and individual data were collected on 1296 children aged 10-11 pre-COVID-19 (2017-8), with school characteristics collected from the 50 schools they attended. Post lockdown, we collected accelerometer, individual and school data from 393 children in 23 of the same schools and 436 children in 27 of the same schools in 2021 (Wave 1) and 2022 (Wave 2), respectively. Methods Sources of variation (between-school, between-pupil and within-pupil) in child weekday moderate to vigorous physical activity at each wave were modelled using linear mixed-effects models with school-level wave random coefficients. We extended the model to estimate the proportion of between-school variation explained by school policy, curriculum and physical environment factors and school-aggregated pupil characteristics. We also explored the extent to which postlockdown differences in moderate to vigorous physical activity were mediated by individual or school factors. Results Between-school variation comprised 13% of the total variation pre-COVID-19, 7% in Wave 1 and 13% in Wave 2. School factors associated with moderate to vigorous physical activity were the following: whether physical education was compromised due to space (often: 9 minutes lower moderate to vigorous physical activity; sometimes: 5.4 minutes lower); high after-school club attendance (7 minutes higher moderate to vigorous physical activity for each additional club attended on average in the school); cycle training policy (4 minutes higher moderate to vigorous physical activity); and higher prevalence of active travel (1 minute higher moderate to vigorous physical activity for each 10% point increase in prevalence). These factors explained 22% of the between-school variation pre-COVID-19, and 72% at Wave 2. The relative importance changed, with cycle training policy and active travel being the most important pre-COVID-19 and cycle training policy, active after-school clubs and compromised physical education space most important in Wave 2. No factors were found to mediate the postlockdown differences in moderate to vigorous physical activity, except compromised physical education space, which had a suppressor effect in Wave 2. Limitations Only 27 of the initial 50 schools participated post lockdown, limiting our ability to make comparisons across waves. Sample sizes were additionally affected by missing data for some variables. Conclusions and future work While schools continue to play an important role in facilitating children's physical activity, the factors that contribute to this have changed post-COVID-19, with cycle training, active after-school clubs and ensuring physical education is prioritised even when space is limited now explaining nearly three-quarters of the between-school variation in children's moderate to vigorous physical activity. School-level interventions that focus on these areas, and policies that support them, may offer the potential to increase children's physical activity. Funding This article presents independent research funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme as award number NIHR131847.
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Affiliation(s)
- Ruth Salway
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Danielle House
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Robert Walker
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Lydia Emm-Collison
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Kate Sansum
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Joanna G Williams
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Communities and Public Health, Bristol City Council, Bristol, UK
| | - William Hollingworth
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Frank de Vocht
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, UK
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Malnes L, Berntsen S, Kolle E, Ivarsson A, Dyrstad SM, Resaland GK, Solberg R, Haugen T. School-based physical activity in relation to active travel - a cluster randomized controlled trial among adolescents enrolled in the school in motion study in Norway. Int J Behav Nutr Phys Act 2023; 20:136. [PMID: 37990252 PMCID: PMC10664674 DOI: 10.1186/s12966-023-01534-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Accepted: 11/01/2023] [Indexed: 11/23/2023] Open
Abstract
BACKGROUND Active travel and school settings are considered ideal for promoting physical activity. However, previous research suggests limited effect of school-based interventions on overall physical activity levels among adolescents. The relationship between physical activity in different domains remains inconclusive. In this study, we examined the effects of adding two weekly hours of school-based physical activity on active travel rates. METHOD We analyzed data from 1370 pupils in the 9th-grade participating in the cluster RCT; the School In Motion (ScIM) project. Intervention schools (n = 19) implemented 120 min of class-scheduled physical activity and physical education, in addition to the normal 2 hours of weekly physical education in the control schools (n = 9), for 9 months. Active travel was defined as pupils who reported walking or cycling to school, while motorized travel was defined as pupils who commuted by bus or car, during the spring/summer half of the year (April-September), or autumn/winter (October-February). The participants were categorized based on their travel mode from pretest to posttest as; maintained active or motorized travel ("No change"), changing to active travel (motorized-active), or changing to motorized travel (active-motorized). Multilevel logistic regression was used to analyze the intervention effect on travel mode. RESULTS During the intervention period, most participants maintained their travel habits. In total, 91% of pupils maintained their travel mode to school. Only 6% of pupils switched to motorized travel and 3% switched to active travel, with small variations according to season and trip direction. The intervention did not seem to influence the likelihood of changing travel mode. The odds ratios for changing travel habits in spring/summer season were from active to motorized travel 1.19 [95%CI: 0.53-2.15] and changing from motorized to active travel 1.18 [0.30-2.62], compared to the "No change" group. These findings were consistent to and from school, and for the autumn/winter season. CONCLUSION The extra school-based physical activity does not seem to affect rates of active travel among adolescents in the ScIM project. TRIAL REGISTRATION Clinicaltrials.gov ID nr: NCT03817047. Registered 01/25/2019' retrospectively registered'.
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Affiliation(s)
- Lena Malnes
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway.
| | - Sveinung Berntsen
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
| | - Elin Kolle
- Department Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway
| | - Andreas Ivarsson
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
- School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | - Sindre M Dyrstad
- Department of Education and Sport Science, University of Stavanger, Stavanger, Norway
| | - Geir K Resaland
- Faculty of Teacher Education and Sports, Western Norway University of Applied Sciences, Sogndal, Norway
| | - Runar Solberg
- Centre for Epidemic Interventions Research, Norwegian Institute for Public Health, Oslo, Norway
| | - Tommy Haugen
- Department of Sport Science and Physical Education, University of Agder, Kristiansand, Norway
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Walker R, Salway R, House D, Emm-Collison L, Breheny K, Sansum K, Churchward S, Williams JG, Vocht FD, Hollingworth W, Jago R. The status of active after-school clubs among primary school children in England (UK) after the COVD-19 lockdowns: implications for policy and practice. Int J Behav Nutr Phys Act 2023; 20:120. [PMID: 37798727 PMCID: PMC10552244 DOI: 10.1186/s12966-023-01499-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/05/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND Children's physical activity in England is more dependent on active clubs after the COVID-19 pandemic. However, it is unclear how the COVID-19 pandemic and related cost-of-living crisis have impacted on active club participation, costs and provision. This mixed-methods natural experiment explored school-based and community-based active clubs after lockdowns, using a unique combination of data sources to highlight implications for policy and practice post-COVID-19. METHODS Cross-sectional questionnaire data on school and community active clubs were collected from 10-11-year-old children pre-COVID-19 in 2017-18 (N = 1,296; 50 schools), in 2021 (N = 393; 23 schools), and 2022 (N = 463; 27 schools). Club participation and attendance frequency were modelled using logistic and Poisson mixed effects models, adjusted for child age, gender and household education. In 2021 and 2022, parents reported expenditure on community-based clubs and schools provided data on school-based club provision, with data summarised descriptively. Qualitative data were collected in 2021 and 2022, with one-to-one interviews with school staff (N = 18) and parents (N = 43), and twelve child focus groups (N = 92), and analysed using the framework method. RESULTS School-based active club participation was higher in 2022 compared to pre-pandemic (50% /43%), while community-based club participation was lower (74%/80%). Children attended 0.3 fewer clubs per week. Those from lower education households were less likely to participate in both types of active clubs, and girls less likely to attend community clubs. In 2022, the median cost of community and school club sessions were £6.67 and £3.88 respectively, with 52% of school-based clubs free to parents. Schools offered an average of 3.4 active clubs per week for 10-11-year-olds in 2022, with 34% partly/wholly subsidised. Qualitative analysis highlighted the impact of the cost-of-living crisis and COVID-19 pandemic on family resources, encouraging a shift to more affordable and convenient school-based active clubs, which negatively impacted the community-based active club environment. However, many schools struggled to meet this increased demand. CONCLUSIONS Findings emphasise the importance for policymakers to support schools to meet increased demand for clubs and community clubs to increase affordable and convenient physical activity opportunities. Targeted support is needed to prevent socioeconomic and gender inequalities.
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Affiliation(s)
- Robert Walker
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK.
| | - Ruth Salway
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Danielle House
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Lydia Emm-Collison
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
| | - Kate Sansum
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK
| | | | - Joanna G Williams
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
- Communities and Public Health, Bristol City Council, Bristol, UK
| | - Frank de Vocht
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, BS1 2NT, UK
| | - William Hollingworth
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, BS1 2NT, UK
| | - Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2PS, UK
- The National Institute for Health Research, Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, BS1 2NT, UK
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and University of Bristol, Bristol, BS8 2BN, UK
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4
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Emm-Collison L, Salway R, Matthews J, Reid T, Jago R. Associations between the built environment, policies and curriculum in schools and primary school children’s physical activity. Wellcome Open Res 2023. [DOI: 10.12688/wellcomeopenres.18262.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
Abstract
Background: A large proportion of children in the UK do not engage in the recommended amount of physical activity. Schools are an environment where children spend a considerable portion of their time and have the potential to facilitate more physical activity. There has been little exploration of the specific school environment factors that are most pertinent to child physical activity and sedentary behaviour. This study was intended to fill this important gap. Methods: Data were collected between March 2017 and May 2018 from 50 schools and 1223 children who participated in the B-Proact1v cohort study. School level measures were the built environment (e.g. playground equipment, cycling parking, allotments), physical activity-related policies (e.g. policy to encourage active travel) and the use of physical activity in the curriculum (e.g. regular physical activity breaks throughout day). Children’s weekday moderate-to-vigorous physical activity (MVPA) was estimated via Actigraph GT3X accelerometers. Associations between school context measures and children’s weekday MVPA were analysed using linear multilevel models, with children nested within schools, adjusted for individual characteristics. Results: On average, children at schools with allotments, a larger amount of playground equipment and where cycle training was offered, engaged in higher levels of MVPA. PE being compromised due to space was associated with lower levels of MVPA. Conclusions: Whilst there is a need for further exploration, the findings suggest that school-based provision and policies for active travel, sport and active play may be important to encouraging more primary school children to be more active more regularly.
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Swindell N, Wachira LJ, Okoth V, Kagunda S, Owino G, Ochola S, Brophy S, Summers H, Richards A, Fairclough SJ, Onywera V, Stratton G. Prevalence and correlates of compliance with 24-h movement guidelines among children from urban and rural Kenya-The Kenya-LINX project. PLoS One 2022; 17:e0279751. [PMID: 36584149 PMCID: PMC9803245 DOI: 10.1371/journal.pone.0279751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/14/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Like many countries in sub-Saharan Africa, Kenya has experienced rapid urbanization in recent years. Despite the distinct socioeconomic and environmental differences, few studies have examined the adherence to movement guidelines in urban and rural areas. This cross-sectional study aimed at examining compliance to the 24-hour movement guidelines and their correlates among children from urban and rural Kenya. METHOD Children (n = 539) aged 11.1 ± 0.8 years (52% female) were recruited from 8 urban and 8 rural private and public schools in Kenya. Physical activity (PA) and sleep duration were estimated using 24-h raw data from wrist-worn accelerometers. Screen time (ST) and potential correlates were self- reported. Multi-level logistic regression was applied to identify correlates of adherence to combined and individual movement guidelines. RESULTS Compliance with the combined movement guidelines was low overall (7%), and higher among rural (10%) than urban (5%) children. Seventy-six percent of rural children met the individual PA guidelines compared to 60% urban children while more rural children also met sleep guidelines (27% vs 14%). The odds of meeting the combined movement guidelines reduced with age (OR = 0.55, 95% CI = 0.35-0.87, p = 0.01), was greater among those who could swim (OR = 3.27, 95% CI = 1.09-9.83, p = 0.04), and among those who did not engage in ST before school (OR = 4.40, 95% CI = 1.81-10.68, p<0.01). The odds of meeting PA guidelines increased with the number of weekly physical education sessions provided at school (OR = 2.1, 95% CI = 1.36-3.21, p<0.01) and was greater among children who spent their lunch break walking (OR = 2.52, 95% CI = 1.15-5.55, p = 0.02) or running relative to those who spent it sitting (OR = 2.33, 95% CI = 1.27-4.27, p = 0.01). CONCLUSIONS Prevalence of meeting movement guidelines among Kenyan children is low and of greatest concern in urban areas. Several correlates were identified, particularly influential were features of the school day, School is thus a significant setting to promote a healthy balance between sleep, sedentary time, and PA.
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Affiliation(s)
- Nils Swindell
- Applied Sports Technology Exercise and Medicine Research Centre, Swansea University, Swansea, Wales, United Kingdom
- * E-mail:
| | - Lucy-Joy Wachira
- Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - Victor Okoth
- Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - Stanley Kagunda
- Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - George Owino
- Department of Sociology, Gender and Development Studies, Kenyatta University, Nairobi, Kenya
| | - Sophie Ochola
- Department of Food, Nutrition and Dietetics, Kenyatta University, Nairobi, Kenya
| | - Sinead Brophy
- National Centre for Population Health and Wellbeing Research, Swansea University Medical School, Swansea, Wales, United Kingdom
| | - Huw Summers
- Department of Biomedical Engineering, Swansea University, Swansea, Wales, United Kingdom
| | - Amie Richards
- Applied Sports Technology Exercise and Medicine Research Centre, Swansea University, Swansea, Wales, United Kingdom
| | - Stuart J. Fairclough
- Department of Sport and Physical Activity, Movement Behaviours, Nutrition, Health, & Wellbeing Research Group, Edge Hill University, Ormskirk, United Kingdom
| | - Vincent Onywera
- Department of Physical Education, Exercise and Sports Science, Kenyatta University, Nairobi, Kenya
| | - Gareth Stratton
- Applied Sports Technology Exercise and Medicine Research Centre, Swansea University, Swansea, Wales, United Kingdom
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Yang CH, Wang S, Wang WL, Belcher BR, Dunton GF. Day-level associations of physical activity and sedentary time in mother-child dyads across three years: a multi-wave longitudinal study using accelerometers. J Behav Med 2022; 45:702-715. [PMID: 35753007 PMCID: PMC10617572 DOI: 10.1007/s10865-022-00335-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 05/25/2022] [Indexed: 10/17/2022]
Abstract
Understanding associations between mothers' and children's physical activity and sedentary behavior on more fine-grained timescales can provide insights into real-time intervention opportunities. This study examined the extent to which mothers' and their children's device-measured moderate-to-vigorous physical activity (MVPA) and sedentary time (SDT) were associated at the day level during non-school time. Mother-child dyads (N = 193; baseline Mean ages = 40.69 ± 6.11 [mother] and 9.57 ± 0.89 [child] years) provided 3,135 paired days of accelerometry data from six bi-annual waves across three years. Controlling for covariates, multilevel models revealed that mothers' and their children's MVPA and SDT were positively associated at the day level during non-school time, both on weekdays and weekends. During weekdays, the day-level association for SDT was stronger for older than younger children, and the day-level association for MVPA was stronger for boys than girls. Designing family-based interventions targeting school-age children and their mothers during non-school time across the week may be useful for promoting active lifestyles.
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Affiliation(s)
- Chih-Hsiang Yang
- Department of Exercise Science, University of South Carolina, Columbia, SC, USA.
| | - Shirlene Wang
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, USA
| | - Wei-Lin Wang
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, USA
| | - Britni R Belcher
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, USA
| | - Genevieve F Dunton
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, USA
- Department of Psychology, University of Southern California, Los Angeles, USA
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7
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Salway R, Foster C, de Vocht F, Tibbitts B, Emm-Collison L, House D, Williams JG, Breheny K, Reid T, Walker R, Churchward S, Hollingworth W, Jago R. Accelerometer-measured physical activity and sedentary time among children and their parents in the UK before and after COVID-19 lockdowns: a natural experiment. Int J Behav Nutr Phys Act 2022; 19:51. [PMID: 35570265 PMCID: PMC9107948 DOI: 10.1186/s12966-022-01290-4] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 03/31/2022] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Restrictions due to the coronavirus disease 2019 (COVID-19) pandemic reduced physical activity provision for both children and their parents. Recent studies have reported decreases in physical activity levels during lockdown restrictions, but these were largely reliant on self-report methods, with data collected via unrepresentative self-report surveys. The post-pandemic impacts on children's activity levels remain unknown. A key question is how active children become once lockdown restrictions are lifted. METHODS Active-6 is a repeated cross-sectional natural experiment. Accelerometer data from 1296 children aged 10-11 and their parents were collected in 50 schools in the Greater Bristol area, UK in March 2017-May 2018 (pre-COVID-19 comparator group), and compared to 393 children aged 10-11 and parents in 23 of the same schools, collected in May-December 2021. Mean minutes of accelerometer-measured moderate-to-vigorous physical activity (MVPA) were derived for weekdays and weekend and compared pre- and post-lockdown via linear multilevel models. RESULTS After adjusting for seasonality, accelerometer wear time and child/parent demographics, children's mean weekday and weekend MVPA were 7.7 min (95% CI: 3.5 to 11.9) and 6.9 min (95% CI: 0.9 to 12.9) lower in 2021 than in 2018, respectively, while sedentary time was higher by 25.4 min (95% CI: 15.8 to 35.0) and 14.0 min (95% CI: 1.5 to 26.5). There was no evidence that differences varied by child gender or household education. There was no significant difference in parents' MVPA or sedentary time, either on weekdays or weekends. CONCLUSIONS Children's MVPA was lower by 7-8 min/day in 2021 once restrictions were lifted than before the pandemic for all groups, on both weekdays and weekends. Previous research has shown that there is an undesirable age-related decline in children's physical activity. The 8-min difference reported here would be broadly comparable to the decline that would have previously been expected to occur over a three-year period. Parents' physical activity was similar to pre-pandemic levels. Our results suggest that despite easing of restrictions, children's activity levels have not returned to pre-pandemic levels. There is an urgent need to understand why these changes have occurred and how long they are maintained.
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Affiliation(s)
- Ruth Salway
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | - Charlie Foster
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | - Frank de Vocht
- grid.5337.20000 0004 1936 7603Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS UK ,grid.451056.30000 0001 2116 3923Applied Research Collaboration West (NIHR ARC West), The National Institute for Health Research, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, BS1 2NT UK
| | - Byron Tibbitts
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | - Lydia Emm-Collison
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | - Danielle House
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | - Joanna G. Williams
- grid.5337.20000 0004 1936 7603Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS UK ,grid.33692.3d0000 0001 0048 3880 Communities and Public Health, Bristol City Council, Bristol, BS1 9NE UK
| | - Katie Breheny
- grid.5337.20000 0004 1936 7603Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS UK
| | - Tom Reid
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK ,grid.5337.20000 0004 1936 7603Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS UK
| | - Robert Walker
- grid.5337.20000 0004 1936 7603Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8 ITZ UK
| | | | - William Hollingworth
- grid.5337.20000 0004 1936 7603Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS UK ,grid.451056.30000 0001 2116 3923Applied Research Collaboration West (NIHR ARC West), The National Institute for Health Research, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, BS1 2NT UK
| | - Russell Jago
- Centre for Exercise, Nutrition & Health Sciences, School for Policy Studies, University of Bristol, Bristol, BS8, ITZ, UK. .,Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, BS8, 2PS, UK. .,Applied Research Collaboration West (NIHR ARC West), The National Institute for Health Research, University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, BS1 2NT, UK.
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8
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Pearson N, Griffiths P, van Sluijs E, Atkin AJ, Khunti K, Sherar LB. Associations between socioeconomic position and young people's physical activity and sedentary behaviour in the UK: a scoping review. BMJ Open 2022; 12:e051736. [PMID: 35501089 PMCID: PMC9062792 DOI: 10.1136/bmjopen-2021-051736] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 04/16/2022] [Indexed: 02/02/2023] Open
Abstract
OBJECTIVE To examine the evidence on the associations between socioeconomic position and young people's physical activity and sedentary behaviours in the UK. DESIGN Scoping review. DATA SOURCES PubMed, SCOPUS and Web of Science databases were searched for articles published up to and including January 2021. ELIGIBILITY CRITERIA FOR SELECTING STUDIES Observational studies in children and adolescents (aged 5-18 years) from the UK that had assessed associations between at least one indicator of socioeconomic position and at least one outcome of physical activity and/or sedentary behaviour. DATA EXTRACTION AND SYNTHESIS Data were extracted by one reviewer and 20% were double checked. Indicators of socioeconomic position were tabulated with domains of physical activity and sedentary behaviour. RESULTS Fifty-seven publications were included in the review; 37 publications from 19 studies (k=23) of children and 21 publications from 15 studies (k=23) of adolescents. Most studies were cross-sectional. 63% of studies of children, and 40% of studies of adolescents assessed Index of Multiple Deprivation. Eighteen studies measured physical activity in children, 13 measured sedentary behaviour. Eleven studies of adolescents included a measure of physical activity, 10 included a measure of sedentary behaviour. Among children and adolescents, the association between socioeconomic position and measures of either physical activity or sedentary behaviour was highly variable depending on the measure of both socioeconomic position used and the behavioural outcome, with the exception of higher family affluence which was consistently associated with higher reported physical activity among adolescents. CONCLUSION Physical activity and sedentary behaviours of children and adolescents in the UK are complex and influenced by multiple indicators of socioeconomic position that are, in most cases, different across age stages, outcomes examined and measurement tools. Greater consistency in the use and measures of socioeconomic position as well as outcomes of behaviour are required for robust country-specific meta-analyses.
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Affiliation(s)
- Natalie Pearson
- School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK
| | - Paula Griffiths
- School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK
| | | | - Andrew J Atkin
- School of Health Sciences, University of East Anglia, Norwich, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Lauren B Sherar
- School of Sport, Exercise & Health Sciences, Loughborough University, Loughborough, UK
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Werneck AO, Jago R, Kriemler S, Andersen LB, Wedderkopp N, Northstone K, Salmon J, van Sluijs EMF. Association of change in the school travel mode with changes in different physical activity intensities and sedentary time: A International Children's Accelerometry Database Study. Prev Med 2021; 153:106862. [PMID: 34710443 DOI: 10.1016/j.ypmed.2021.106862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 09/06/2021] [Accepted: 10/14/2021] [Indexed: 11/28/2022]
Abstract
Our aim was to assess the association between changes in active travel to school and changes in different intensities of physical activity (i.e. moderate - MPA and vigorous - VPA) and time spent sedentary (SED) among adolescents and assess the moderating effect of children's sex, age and weight status. Data from six cohort studies in the International Children's Accelerometry Database were used (4108 adolescents aged 10-13y at baseline, with 1.9±0.7y of follow-up). Participants self-reported travel mode to school at baseline and follow-up. Mutually exclusive categories of change were created using passive (e.g. by car) or active (cycling or walking) forms of transport (active/active, passive/active, active/passive, passive/passive). Multilevel linear regression analyses assessed associations with change in accelerometer-assessed time spent MPA, VPA and SED, adjusting for potential confounders. The moderation of sex, age and weight status was tested though the inclusion of interaction terms in the regression models. Relative to those remaining in active travel (active/active), participants classified as passive/active increased VPA (B: 2.23 min/d; 95%CI: 0.97-3.48), while active/passive (MPA: -5.38min/d; -6.77 to -3.98; VPA: -2.92min/d; -4.06 to -1.78) and passive/passive (MPA: -4.53min/d; -5.55 to -3.50; VPA: -2.84min/d; -3.68 to -2.01) decreased MPA and VPA. There were no associations with SED. An interaction was observed, age group moderated the association with change in VPA: among 12-13y-olds a greater increase in VPA was observed for the passive/active group compared to active/active. Promoting active travel to school can be a strategy to attenuate the decline in physical activity through adolescence.
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Affiliation(s)
- André O Werneck
- Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil
| | - Russell Jago
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK
| | - Susi Kriemler
- Epidemiology, Biostatistics and Public Health Institute, University of Zürich, Switzerland
| | - Lars Bo Andersen
- Department of Sport, Food and Natural Sciences, Faculty of Education, Arts and Sports, Western Norway University of Applied Sciences Campus Sogndal, Sogndal, Norway
| | - Niels Wedderkopp
- Institute for Regional Health Research, University of Southern Denmark, DK-5000 Odense, Denmark; The Orthopedic Department, Hospital of Southwestern Jutland, DK-6700 Esbjerg, Denmark
| | - Kate Northstone
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, UK
| | - Jo Salmon
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Esther M F van Sluijs
- MRC Epidemiology Unit and Centre for Diet and Activity Research (CEDAR), University of Cambridge, Cambridge, UK.
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10
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Scholes S, Mindell JS. Income-based inequalities in self-reported moderate-to-vigorous physical activity among adolescents in England and the USA: a cross-sectional study. BMJ Open 2021; 11:e040540. [PMID: 33589448 PMCID: PMC7887356 DOI: 10.1136/bmjopen-2020-040540] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Quantify income-based inequalities in self-reported moderate-to-vigorous physical activity (MVPA) in England and the USA by sex. DESIGN Population-based cross-sectional study. PARTICIPANTS 4019 adolescents aged 11-15 years in England (Health Survey for England 2008, 2012, 2015) and 4312 aged 12-17 years in the US (National Health and Nutrition Examination Survey 2007-2016). MAIN OUTCOME MEASURES Three aspects of MVPA: (1) doing any, (2) average min/day (MVPA: including those who did none) and (3) average min/day conditional on participation (MVPA active). Using hurdle models, inequalities were quantified using the absolute difference in marginal means (average marginal effects). RESULTS In England, adolescents in high-income households were more likely than those in low-income households to have done any formal sports/exercise in the last 7 days (boys: 11%; 95% CI 4% to 17%; girls: 13%; 95% CI 6% to 20%); girls in high-income households did more than their low-income counterparts (MVPA: 6 min/day, 95% CI 2 to 9). Girls in low-income households spent more time in informal activities than girls in high-income households (MVPA: 21 min/day; 95% CI 10 to 33), while boys in low-income versus high-income households spent longer in active travel (MVPA: 21 min/week; 95% CI 8 to 34). In the USA, in a typical week, recreational activity was greater among high-income versus low-income households (boys: 15 min/day; 95% CI 6 to 24; girls: 19 min/day; 95% CI 12 to 27). In contrast, adolescents in low-income versus high-income households were more likely to travel actively (boys: 11%; 95% CI 3% to 19%; girls: 10%; 95% CI 3% to 17%) and do more. CONCLUSIONS Policy actions and interventions are required to increase MVPA across all income groups in England and the USA. Differences in formal sports/exercise (England) and recreational (USA) activities suggest that additional efforts are required to reduce inequalities.
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Affiliation(s)
- Shaun Scholes
- Research Department of Epidemiology and Public Health, UCL, London, UK
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11
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Vorlíček M, Baďura P, Mitáš J, Kolarčik P, Rubín L, Vašíčková J, Salonna F. How Czech Adolescents Perceive Active Commuting to School: A Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155562. [PMID: 32752224 PMCID: PMC7432165 DOI: 10.3390/ijerph17155562] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 01/30/2023]
Abstract
To achieve a healthy lifestyle, adolescents must be physically active and meet physical activity (PA) guidelines. One of the most natural ways of increasing the amount of PA is active commuting (AC) to school. Recent reviews suggest that peer norms have the potential to shape PA during adolescence in particular. Thus, our primary aim was to investigate whether Czech adolescents misperceive their peers’ AC behaviors and attitudes towards AC. Our dataset comprised cross-sectional data on 1586 adolescents aged 11–15 years. Basic descriptive statistics, chi-square tests, and correlation analyses were used to analyze the data. Regarding traveling to school, 68% of the Czech adolescents in this study are daily active commuters (walking, cycling, or riding a scooter or skateboard). Less than half of the respondents believed that most of their classmates were commuting to school actively almost daily. The students who believed that most of their classmates commuted to school actively had significantly higher chances of being regular active commuters themselves. The results showed that most of the Czech adolescents misperceived the AC norms of their peers. Thus, there could be potential in using a social norms approach aimed at increasing the level of AC in Czech adolescents through targeted interventions.
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Affiliation(s)
- Michal Vorlíček
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
- Correspondence: ; Tel.: +420-774-494-404
| | - Petr Baďura
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
| | - Josef Mitáš
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
| | - Peter Kolarčik
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
- Department of Health Psychology and Research Methodology, Faculty of Medicine, P.J. Safarik University, Trieda SNP 1, 040 11 Košice, Slovakia
| | - Lukáš Rubín
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
- Department of Physical Education and Sport, Faculty of Science, Humanities and Education, Technical University of Liberec, 461 17 Liberec, Czech Republic
| | - Jana Vašíčková
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
| | - Ferdinand Salonna
- Institute of Active Lifestyle, Faculty of Physical Culture, Palacký University, 771 11 Olomouc, Czech Republic; (P.B.); (J.M.); (P.K.); (L.R.); (J.V.); (F.S.)
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