Relationships between active school transport and adiposity indicators in school-age children from low-, middle- and high-income countries

Sarmiento, OL; Lemoine, Pablo; González, Silvia A.; Broyles, Stephanie T.; Denstel, Kara D.; Larouche, Richard; Onywera, Vincent; Barreira, Tiago V.; Chaput, J-P; Fogelholm, Mikael; Hu, Gang; Kuriyan, Rebecca; Kurpad, A V; Lambert, Estelle V.; Maher, Carol; Maia, José; Matsudo, Victor Keihan Rodrigues; Olds, Tim; Standage, Martyn; Tremblay, Mark S.; Tudor–Locke, Catrine; Zhao, Pei; Church, Timothy S.; Katzmarzyk, Peter

doi:10.1038/ijosup.2015.27

Cited by 66 publications

(63 citation statements)

References 37 publications

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“…Moreover, 94% of learners walked 15 minutes or less to their transport or from their transport to school. These results are further corroborated by Sarmiento et al, 33 who found that 58% of 10-yearold learners in the Western Cape reported walking to school, and Larouche et al, 34 who found that active school travel was inversely associated with car ownership.…”

Section: School (Physical Education Built and Policy Environments)supporting

confidence: 79%

Results From South Africa’s 2016 Report Card on Physical Activity for Children and Youth

Uys¹,

Bassett²,

Draper³

et al. 2016

Journal of Physical Activity and Health

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Background:We present results of the 2016 Healthy Active Kids South Africa (HAKSA) Report Card on the current status of physical activity (PA) and nutrition in South African youth. The context in which we interpret the findings is that participation in PA is a fundamental human right, along with the right to "attainment of the highest standard of health." Methods: The HAKSA 2016 Writing Group was comprised of 33 authorities in physical education, exercise science, nutrition, public health, and journalism. The search strategy was based on peer-reviewed manuscripts, dissertations, and 'gray' literature. The core PA indicators are Overall Physical Activity Level; Organized Sport Participation; Active and Outdoor Play; Active Transportation; Sedentary Behaviors; Family and Peer Influences; School; Community and the Built Environment; and National Government Policy, Strategies, and Investment. In addition, we reported on Physical Fitness and Motor Proficiency separately. We also reported on nutrition indicators including Overweight and Under-nutrition along with certain key behaviors such as Fruit and Vegetable Intake, and policies and programs including School Nutrition Programs and Tuck Shops. Data were extracted and grades assigned after consensus was reached. Grades were assigned to each indicator ranging from an A, succeeding with a large majority of children and youth (81% to 100%); B, succeeding with well over half of children and youth (61% to 80%); C, succeeding with about half of children and youth (41% to 60%); D, succeeding with less than half but some children and youth (21% to 40%); and F, succeeding with very few children and youth (0% to 20%); INC is inconclusive. Results: Overall PA levels received a C grade, as we are succeeding with more than 50% of children meeting recommendations. Organized Sports Participation also received a C, and Government Policies remain promising, receiving a B. Screen time and sedentary behavior were a major concern. Under-and over-weight were highlighted and, as overweight is on the rise, received a D grade. Conclusion:In particular, issues of food security, obesogenic environments, and access to activity-supportive environments should guide social mobilization downstream and policy upstream. There is an urgent need for practice-based evidence based on evaluation of existing, scaled up interventions.

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Section: School (Physical Education Built and Policy Environments)supporting

confidence: 79%

Results From South Africa’s 2016 Report Card on Physical Activity for Children and Youth

Uys¹,

Bassett²,

Draper³

et al. 2016

Journal of Physical Activity and Health

View full text Add to dashboard Cite

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“…In another study involving 6,797 adolescents aged 9-11 from 12 countries, it was observed those who actively commuted to school had lower BMI values and lower odds of developing abdominal obesity 5 . A survey of 1,570 schoolchildren aged 7-12 years in the city of Joao Pessoa, Brazil, found that excess weight, measured by means of BMI, was higher among passive students (26 % to 32%) or those active for less than ten minutes (25%), in relation to those who actively commuted to school for a time greater than or equal to 10 minutes 23 .…”

Section: Discussionmentioning

confidence: 99%

“…Excess weight (overweight and obesity) when investigated by BMI in adolescents, is directly associated with health problems in adulthood, such as dyslipidemias and cardiovascular diseases (heart failure and heart attack) 1 . Among the strategies for coping with abdominal obesity and excess weight in adolescents, increased levels of physical activity are often investigated 4 , since the performance of physical activity contributes to negative energy balance, favoring the control of fat accumulation in the abdominal region and excess weight 5 . The practice of physical activity can be carried out in several contexts such as school, physical education classes, during school recess or in activities whose objective is to improve muscular strength and endurance 4 .…”

Section: Introductionmentioning

confidence: 99%

Association between different contexts of physical activity and abdominal obesity and excess weight in adolescents.

Martins

Lima

Silva

2018

Motriz: rev. educ. fis.

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“…While active transportation has been associated with increased physical activity, 91 cardiorespiratory fitness, 91 and lower measures of adiposity, 90 evidence suggests that levels of active transportation are declining. [92][93][94][95][96][97][98][99][100] Generational declines in active transportation 101,102 and independent mobility 103 have also been observed.…”

Section: Successes and Challenges Based On Indicator Gradesmentioning

confidence: 99%

“…Multicountry studies have shown similar proportions of active transportation involvement in significantly differing contexts. 89,90 To understand these patterns a "need-based framework" has been proposed for LMIC, where active transportation represents the only option for transportation because motorized vehicle availability remains relatively low in comparison with HIC. The patterns observed in HIC can be understood within a "choice-based framework" where policies and infrastructure facilitate active transportation as an option to commute.…”

Section: Successes and Challenges Based On Indicator Gradesmentioning

confidence: 99%

Global Matrix 2.0: Report Card Grades on the Physical Activity of Children and Youth Comparing 38 Countries

Tremblay

Barnes

González

et al. 2016

Journal of Physical Activity and Health

392

400

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The Active Healthy Kids Global Alliance organized the concurrent preparation of Report Cards on the physical activity of children and youth in 38 countries from 6 continents (representing 60% of the world’s population). Nine common indicators were used (Overall Physical Activity, Organized Sport Participation, Active Play, Active Transportation, Sedentary Behavior, Family and Peers, School, Community and the Built Environment, and Government Strategies and Investments), and all Report Cards were generated through a harmonized development process and a standardized grading framework (from A = excellent, to F = failing). The 38 Report Cards were presented at the International Congress on Physical Activity and Public Health in Bangkok, Thailand on November 16, 2016. The consolidated findings are summarized in the form of a Global Matrix demonstrating substantial variation in grades both within and across countries. Countries that lead in certain indicators often lag in others. Average grades for both Overall Physical Activity and Sedentary Behavior around the world are D (low/poor). In contrast, the average grade for indicators related to supports for physical activity was C. Lower-income countries generally had better grades on Overall Physical Activity, Active Transportation, and Sedentary Behaviors compared with higher-income countries, yet worse grades for supports from Family and Peers, Community and the Built Environment, and Government Strategies and Investments. Average grades for all indicators combined were highest (best) in Denmark, Slovenia, and the Netherlands. Many surveillance and research gaps were apparent, especially for the Active Play and Family and Peers indicators. International cooperation and cross-fertilization is encouraged to address existing challenges, understand underlying determinants, conceive innovative solutions, and mitigate the global childhood inactivity crisis. The paradox of higher physical activity and lower sedentary behavior in countries reporting poorer infrastructure, and lower physical activity and higher sedentary behavior in countries reporting better infrastructure, suggests that autonomy to play, travel, or chore requirements and/or fewer attractive sedentary pursuits, rather than infrastructure and structured activities, may facilitate higher levels of physical activity.

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Relationships between active school transport and adiposity indicators in school-age children from low-, middle- and high-income countries

Cited by 66 publications

References 37 publications

Results From South Africa’s 2016 Report Card on Physical Activity for Children and Youth

Results From South Africa’s 2016 Report Card on Physical Activity for Children and Youth

Association between different contexts of physical activity and abdominal obesity and excess weight in adolescents.

Global Matrix 2.0: Report Card Grades on the Physical Activity of Children and Youth Comparing 38 Countries

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