ArticlePloS one2020
Association between the school environment and children's body mass index in Terengganu: A cross sectional study.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 15 citations in OpenAlex.
- The effect of the MyBFF@school program on cardiorespiratory fitness in overweight and obese primary schoolchildren: a cluster randomized controlled trial.BMC public health · 2025Trial
- Sustaining Heart-Healthy Habits in Youth: A 15-Year Review of the SI! Program.Current cardiology reports · 2026Review
- Article
- Effects of school nurse-led health education to reduce malnutrition among primary school children in Bangladesh: Cluster nonrandomized controlled trial.Journal of family medicine and primary care · 2024Article
- Perceived Barriers to Digitising School-Based Obesity Intervention: An Exploratory Study.The Malaysian journal of medical sciences : MJMS · 2022Article
- Association between maternal and paternal employment and their children's weight status and unhealthy behaviours: does it matter who the working parent is?BMC public health · 2022Article
- Health Promoting Schools in Germany. Mapping the Implementation of Holistic Strategies to Tackle NCDs and Promote Health.International journal of environmental research and public health · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the on-going interest in implementing school policies to address the problem of childhood obesity in Malaysia, there is urgent need for information about the association between school environment and children's weight status. This study aims to investigate the association between school environmental factors (physical, economic, political and sociocultural) with BMI of school children in Terengganu. The school environment factors were assessed using a set of validated whole-school environmental mapping questionnaires, consisting of 76 criteria with four domains; physical environment (41 criteria), economic environment (nine criteria), political environment (nine criteria) and sociocultural environment (17 criteria). This involved face-to-face interview sessions with 32 teachers from 16 schools (eight rural and eight urban). In addition, 400 school children aged between 9 and 11 years of the selected schools were assessed for BMI (WHO 2007 reference chart), dietary intake (food frequency questionnaire (FFQ)) and physical activity level (physical activity questionnaire for children (PAQ-C)). Multiple regression was used to examine the association between school environment factors and BMI of the school children. Seven school environment criteria were found to be associated with BMI of school children when it was adjusted for calorie intake and physical activity level. About 33.4% of the variation in BMI of school children was explained by health professional involvement, simple exercise before class, encouragement to walk/ride bicycle to/from school, no high-calorie food sold, healthy options of foods and drinks at tuck shop, availability of policy on physical activity and training teacher as a role model. Policy makers should make urgent actions to address the obesogenic features of school environments. It should strive towards setting up healthy school environment and improving school curricula to promote healthy behaviours among the school children.
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