Association between behavioural factors and BMI-for-age among early adolescents in Hulu Langat district, Selangor, Malaysia

Obes Res Clin Pract. 2015 Jul-Aug;9(4):346-56. doi: 10.1016/j.orcp.2014.10.218. Epub 2014 Dec 2.

Abstract

Objective: This paper investigates the association between behavioural factors and BMI-for-age among early adolescents (10-11 years old) in Hulu Langat district, Selangor.

Methods: This cross-sectional study was conducted among 333 primary school students. Body weight and height of the students were measured and their BMI-for-age was calculated. Eating behaviours, energy intake, energy expenditure, physical activity, and screen time were assessed using the Eating Behaviours Questionnaire and a 2-day dietary and physical activity recall, respectively. Data were analysed using multiple linear regression analysis.

Results: The prevalence of overweight and obesity (28.2%) was about twice the prevalence of thinness (11.1%). The mean energy intake and energy expenditure of the students was 1772±441kcal/day and 1705±331kcal/day, respectively. Three in five of the students (60.1%) skipped at least one meal and 98.2% snacked between meals daily. A majority of them (55.3%) were sedentary. Low energy intake (p<0.05) and low energy expenditure (p<0.05) were associated with high BMI-for-age. Energy expenditure (β=-0.033) and energy intake (β=-0.090) significantly explained 65.1% of the variances in BMI-for-age (F=119.170, p<0.05).

Conclusion: These findings suggested that promoting healthy eating and active lifestyle should be targeted in the prevention and management of obesity among early adolescents.

Keywords: BMI-for-age; Dietary practices; Early adolescents; Physical activity; Screen time.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Mass Index*
  • Child
  • Child Behavior
  • Child Nutritional Physiological Phenomena
  • Cross-Sectional Studies
  • Diet
  • Energy Intake / physiology*
  • Energy Metabolism / physiology*
  • Feeding Behavior / psychology*
  • Female
  • Humans
  • Linear Models
  • Malaysia / epidemiology
  • Male
  • Overweight / epidemiology*
  • Prevalence
  • Puberty / physiology*
  • Puberty / psychology
  • Sedentary Behavior