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Santos F, Sousa H, Gouveia ÉR, Lopes H, Peralta M, Martins J, Murawska-Ciałowicz E, Żurek G, Marques A. School-Based Family-Oriented Health Interventions to Promote Physical Activity in Children and Adolescents: A Systematic Review. Am J Health Promot 2023; 37:243-262. [PMID: 36413351 PMCID: PMC9850376 DOI: 10.1177/08901171221113836] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE This study aimed to systematically review and analyse intervention programs in a school context centred on the family, focused on increasing youths' physical activity. DATA SOURCE The research was carried out in the PubMed, Scopus and Web of Science databases. STUDY INCLUSION CRITERIA Studies were included if participants were children or adolescents, focusing on school-based intervention studies with parental involvement and physical activity, sedentary behaviour or physical fitness outcomes. DATA EXTRACTION The search was performed according to the PRISMA protocol. A total of 416 articles were identified. After being considered for eligibility and duplicates, 22 studies were identified as relevant for inclusion. DATA SYNTHESIS Sample and intervention characteristics, objective, the role of the family, outcomes measures, main findings regarding the outcomes and risk of bias. RESULTS Ten studies reported improvements in physical activity, 6 in sedentary behaviour and 9 in the components of physical fitness and/or skills related to healthy behaviours and lifestyles. Most of the interventions adopted a multidisciplinary and multi-component approach. CONCLUSIONS Most interventions employed a school's multidisciplinary/multi-component approach to promoting physical activity, nutrition, and general education for healthier lifestyle behaviours. The impact of school-based interventions involving families on youth's physical activity levels is still a relatively emerging theme. Further research is needed given the diversity of the intervention's characteristics and the disparity in the results' efficacy.
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Affiliation(s)
- Francisco Santos
- Department of Physical Education
and Sport, University
de Madeira, Funchal, Portugal
| | - Honorato Sousa
- Department of Physical Education
and Sport, University
de Madeira, Funchal, Portugal
| | - Élvio Rúbio Gouveia
- Department of Physical Education
and Sport, University
de Madeira, Funchal, Portugal,LARSYS,
Interactive
Technologies Institute, Funchal,
Portugal,Élvio Rúbio Gouveia, Universidade da
Madeira, Departamento de Educação Física e Desporto, Campus Universitário da
Penteada; 9000-390 Funchal, Portugal.
| | - Helder Lopes
- Department of Physical Education
and Sport, University
de Madeira, Funchal, Portugal
| | - Miguel Peralta
- Research Center in Sports Sciences,
Health Sciences, and Human Development (CIDESD), Vila Real, Portugal,CIPER, Faculdade de Motricidade
Humana, Universidade de Lisboa, Lisboa, Portugal
| | - João Martins
- Research Center in Sports Sciences,
Health Sciences, and Human Development (CIDESD), Vila Real, Portugal,CIPER, Faculdade de Motricidade
Humana, Universidade de Lisboa, Lisboa, Portugal
| | | | - Grzegorz Żurek
- Physiology and Biochemistry
Department, University
School of Physical Education in
Wrocław, Wrocław, Poland
| | - Adilson Marques
- Research Center in Sports Sciences,
Health Sciences, and Human Development (CIDESD), Vila Real, Portugal,CIPER, Faculdade de Motricidade
Humana, Universidade de Lisboa, Lisboa, Portugal
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Nagy-Pénzes G, Vincze F, Bíró É. A School Intervention's Impact on Adolescents' Health-Related Knowledge and Behavior. Front Public Health 2022; 10:822155. [PMID: 35359760 PMCID: PMC8963932 DOI: 10.3389/fpubh.2022.822155] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 02/10/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMany factors can influence health behavior during adolescence, and the lifestyle of adolescents is associated with health behavior during adulthood. Therefore, their behavior can determine not only present, but also later health status.ObjectiveWe aimed to develop an intervention program to improve high school students' health behavior and to evaluate its effectiveness.MethodsWe performed our study at a secondary school in a rural town in East Hungary between 2016 and 2020. Sessions about healthy lifestyles were organized regularly for the intervention group to improve students' knowledge, to help them acquire the right skills and attitudes, and to shape their behavior accordingly. Data collection was carried out via self-administered, anonymous questionnaires (n = 192; boys = 49.5%; girls = 50.5%; age range: 14–16). To determine the intervention-specific effect, we took into account the differences between baseline and post-intervention status, and between the intervention and control groups using individual follow-up data. We used generalized estimating equations to assess the effectiveness of our health promotion program.ResultsOur health promotion program had a positive effect on the students' health-related knowledge and health behavior in the case of unhealthy eating, moderate to vigorous physical activity, and alcohol consumption.ConclusionOur findings suggest that school health promotion can be effective in knowledge transfer and lifestyle modification. To achieve a more positive impact on health behavior, preventive actions must use a complex approach during implementation.
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Affiliation(s)
- Gabriella Nagy-Pénzes
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Doctoral School of Health Sciences, University of Debrecen, Debrecen, Hungary
- *Correspondence: Gabriella Nagy-Pénzes
| | - Ferenc Vincze
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Éva Bíró
- Department of Public Health and Epidemiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
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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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Determinants of dietary and physical activity behaviours among women of reproductive age in urban Uganda, a qualitative study. Public Health Nutr 2020; 24:3624-3636. [PMID: 33000718 DOI: 10.1017/s1368980020003432] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
OBJECTIVE To explore determinants of dietary and physical activity behaviours among women of reproductive age. DESIGN Data were collected through focus group discussions (FGD). The FGD guide was based on a modified theoretical framework; theory of planned behaviour was incorporated with constructs of health belief model, precaution adoption process model, social cognitive and social support theory. Discussions were audio recorded, transcribed verbatim and analysed thematically. SETTING Kampala, Uganda. PARTICIPANTS Women were categorised into young adults; 18-34 years and adults; 35-45 years. RESULTS Separate FGD with independent participants were conducted for dietary and physical activity behaviours until data saturation was achieved. Six FGD were conducted per behaviour. Determinants of dietary behaviours at intra-individual level included gaps in food skills, knowledge and self-efficacy, food safety concerns, convenience, finances and physiological satisfaction. The social-cultural norms were relationship between vegetable consumption and low social status, consideration of fruits as a snack for children and not food and habitual orientation towards carbohydrate foods. At environment level, social networks and increased availability of energy-dense, nutrient poor, street and processed foods influence dietary behaviour. For physical activity, intra-individual determinants were knowledge gaps and self-efficacy, while socio-cultural norms included gender stereotypes. Home (limited space and sedentary entertainment like social media and TV) and physical environment (cheap motorised transportation) influence physical activity. CONCLUSION The existing cultural beliefs promote dietary and physical activity behaviours which are divergent from healthy recommendations. Therefore, a comprehensive intervention is needed to address socio-cultural misconceptions, financial and time limitations in urban Uganda.
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Brown AW, Altman DG, Baranowski T, Bland JM, Dawson JA, Dhurandhar NV, Dowla S, Fontaine KR, Gelman A, Heymsfield SB, Jayawardene W, Keith SW, Kyle TK, Loken E, Oakes JM, Stevens J, Thomas DM, Allison DB. Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims. Obes Rev 2019; 20:1523-1541. [PMID: 31426126 PMCID: PMC7436851 DOI: 10.1111/obr.12923] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 07/13/2019] [Accepted: 07/14/2019] [Indexed: 12/16/2022]
Abstract
Being able to draw accurate conclusions from childhood obesity trials is important to make advances in reversing the obesity epidemic. However, obesity research sometimes is not conducted or reported to appropriate scientific standards. To constructively draw attention to this issue, we present 10 errors that are commonly committed, illustrate each error with examples from the childhood obesity literature, and follow with suggestions on how to avoid these errors. These errors are as follows: using self-reported outcomes and teaching to the test; foregoing control groups and risking regression to the mean creating differences over time; changing the goal posts; ignoring clustering in studies that randomize groups of children; following the forking paths, subsetting, p-hacking, and data dredging; basing conclusions on tests for significant differences from baseline; equating "no statistically significant difference" with "equally effective"; ignoring intervention study results in favor of observational analyses; using one-sided testing for statistical significance; and stating that effects are clinically significant even though they are not statistically significant. We hope that compiling these errors in one article will serve as the beginning of a checklist to support fidelity in conducting, analyzing, and reporting childhood obesity research.
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Affiliation(s)
- Andrew W Brown
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana
| | - Douglas G Altman
- Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Tom Baranowski
- Department of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, Texas
| | - J Martin Bland
- Department of Health Sciences, University of York, York, UK
| | - John A Dawson
- Department of Nutritional Sciences, Texas Tech University, Lubbock, Texas
| | | | - Shima Dowla
- School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama
| | - Kevin R Fontaine
- Department of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama
| | - Andrew Gelman
- Department of Statistics and Department of Political Science, Columbia University, New York, New York
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana
| | - Wasantha Jayawardene
- Department of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana
| | - Scott W Keith
- Department of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
| | | | - Eric Loken
- Neag School of Education, University of Connecticut, Storrs, Connecticut
| | - J Michael Oakes
- Department of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - June Stevens
- Departments of Nutrition and Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Diana M Thomas
- Department of Mathematical Sciences, United States Military Academy, West Point, New York
| | - David B Allison
- Department of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana
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Brown T, Moore TH, Hooper L, Gao Y, Zayegh A, Ijaz S, Elwenspoek M, Foxen SC, Magee L, O'Malley C, Waters E, Summerbell CD. Interventions for preventing obesity in children. Cochrane Database Syst Rev 2019; 7:CD001871. [PMID: 31332776 PMCID: PMC6646867 DOI: 10.1002/14651858.cd001871.pub4] [Citation(s) in RCA: 275] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Prevention of childhood obesity is an international public health priority given the significant impact of obesity on acute and chronic diseases, general health, development and well-being. The international evidence base for strategies to prevent obesity is very large and is accumulating rapidly. This is an update of a previous review. OBJECTIVES To determine the effectiveness of a range of interventions that include diet or physical activity components, or both, designed to prevent obesity in children. SEARCH METHODS We searched CENTRAL, MEDLINE, Embase, PsychINFO and CINAHL in June 2015. We re-ran the search from June 2015 to January 2018 and included a search of trial registers. SELECTION CRITERIA Randomised controlled trials (RCTs) of diet or physical activity interventions, or combined diet and physical activity interventions, for preventing overweight or obesity in children (0-17 years) that reported outcomes at a minimum of 12 weeks from baseline. DATA COLLECTION AND ANALYSIS Two authors independently extracted data, assessed risk-of-bias and evaluated overall certainty of the evidence using GRADE. We extracted data on adiposity outcomes, sociodemographic characteristics, adverse events, intervention process and costs. We meta-analysed data as guided by the Cochrane Handbook for Systematic Reviews of Interventions and presented separate meta-analyses by age group for child 0 to 5 years, 6 to 12 years, and 13 to 18 years for zBMI and BMI. MAIN RESULTS We included 153 RCTs, mostly from the USA or Europe. Thirteen studies were based in upper-middle-income countries (UMIC: Brazil, Ecuador, Lebanon, Mexico, Thailand, Turkey, US-Mexico border), and one was based in a lower middle-income country (LMIC: Egypt). The majority (85) targeted children aged 6 to 12 years.Children aged 0-5 years: There is moderate-certainty evidence from 16 RCTs (n = 6261) that diet combined with physical activity interventions, compared with control, reduced BMI (mean difference (MD) -0.07 kg/m2, 95% confidence interval (CI) -0.14 to -0.01), and had a similar effect (11 RCTs, n = 5536) on zBMI (MD -0.11, 95% CI -0.21 to 0.01). Neither diet (moderate-certainty evidence) nor physical activity interventions alone (high-certainty evidence) compared with control reduced BMI (physical activity alone: MD -0.22 kg/m2, 95% CI -0.44 to 0.01) or zBMI (diet alone: MD -0.14, 95% CI -0.32 to 0.04; physical activity alone: MD 0.01, 95% CI -0.10 to 0.13) in children aged 0-5 years.Children aged 6 to 12 years: There is moderate-certainty evidence from 14 RCTs (n = 16,410) that physical activity interventions, compared with control, reduced BMI (MD -0.10 kg/m2, 95% CI -0.14 to -0.05). However, there is moderate-certainty evidence that they had little or no effect on zBMI (MD -0.02, 95% CI -0.06 to 0.02). There is low-certainty evidence from 20 RCTs (n = 24,043) that diet combined with physical activity interventions, compared with control, reduced zBMI (MD -0.05 kg/m2, 95% CI -0.10 to -0.01). There is high-certainty evidence that diet interventions, compared with control, had little impact on zBMI (MD -0.03, 95% CI -0.06 to 0.01) or BMI (-0.02 kg/m2, 95% CI -0.11 to 0.06).Children aged 13 to 18 years: There is very low-certainty evidence that physical activity interventions, compared with control reduced BMI (MD -1.53 kg/m2, 95% CI -2.67 to -0.39; 4 RCTs; n = 720); and low-certainty evidence for a reduction in zBMI (MD -0.2, 95% CI -0.3 to -0.1; 1 RCT; n = 100). There is low-certainty evidence from eight RCTs (n = 16,583) that diet combined with physical activity interventions, compared with control, had no effect on BMI (MD -0.02 kg/m2, 95% CI -0.10 to 0.05); or zBMI (MD 0.01, 95% CI -0.05 to 0.07; 6 RCTs; n = 16,543). Evidence from two RCTs (low-certainty evidence; n = 294) found no effect of diet interventions on BMI.Direct comparisons of interventions: Two RCTs reported data directly comparing diet with either physical activity or diet combined with physical activity interventions for children aged 6 to 12 years and reported no differences.Heterogeneity was apparent in the results from all three age groups, which could not be entirely explained by setting or duration of the interventions. Where reported, interventions did not appear to result in adverse effects (16 RCTs) or increase health inequalities (gender: 30 RCTs; socioeconomic status: 18 RCTs), although relatively few studies examined these factors.Re-running the searches in January 2018 identified 315 records with potential relevance to this review, which will be synthesised in the next update. AUTHORS' CONCLUSIONS Interventions that include diet combined with physical activity interventions can reduce the risk of obesity (zBMI and BMI) in young children aged 0 to 5 years. There is weaker evidence from a single study that dietary interventions may be beneficial.However, interventions that focus only on physical activity do not appear to be effective in children of this age. In contrast, interventions that only focus on physical activity can reduce the risk of obesity (BMI) in children aged 6 to 12 years, and adolescents aged 13 to 18 years. In these age groups, there is no evidence that interventions that only focus on diet are effective, and some evidence that diet combined with physical activity interventions may be effective. Importantly, this updated review also suggests that interventions to prevent childhood obesity do not appear to result in adverse effects or health inequalities.The review will not be updated in its current form. To manage the growth in RCTs of child obesity prevention interventions, in future, this review will be split into three separate reviews based on child age.
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Affiliation(s)
- Tamara Brown
- Department of Sport and Exercise Sciences, Durham University, Durham, UK
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Trends in Physical Fitness Among 12-Year-Old Children in Urban and Rural Areas During the Social Transformation Period in China. J Adolesc Health 2019; 64:250-257. [PMID: 30409753 DOI: 10.1016/j.jadohealth.2018.08.021] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 07/31/2018] [Accepted: 08/20/2018] [Indexed: 12/22/2022]
Abstract
AIMS To investigate the 29-year (1985-2014) trends in body dimensions and physical fitness test performances among 12-year-old Chinese children living in urban and rural areas. METHODS The data were from the findings of seven cross-sectional surveys from the Chinese National Survey on Students' Constitution and Health. In the seven surveys, there were 34,238; 11,664; 17,485; 18,057; 19,254; 17,962; and 17,906 children, respectively. Anthropometric measurements and physical fitness performances of 12-year-old Chinese children living in rural and urban areas were analyzed. Polynomial models were used to analyze trends in test performances. Analysis of variance was used to assess the urban-rural differentials. RESULTS The height and weight of both urban and rural children substantially increased from 1985 to 2014. Urban children were taller and heavier than rural children. A slight narrowing of the urban-rural differential in height was observed. The disparity in weight increased from 1985 to 2000 and decreased thereafter. Urban children performed better in most of the physical fitness tests examined, such as standing long jump, 50-m run, and sit-ups. The urban-rural disparity decreased from 1985 to 2014 in 50-m run, standing long jump, and sit-up score; the largest difference in 10 × 50 m run and pull-up score was observed in 2000 and 2005, respectively. CONCLUSIONS There was a general decline in physical fitness in both urban and rural children after 2000. Urgent, targeted actions need to be taken by public health policy officials and parents to maintain or improve the physical fitness of children.
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