Child feeding practices, food habits, anthropometric indicators and cognitive performance among preschoolers in Peninsular Malaysia

Appetite. 2012 Apr;58(2):525-30. doi: 10.1016/j.appet.2012.01.007. Epub 2012 Jan 10.

Abstract

This study aimed to determine the relationship between child feeding practices, food habits, and anthropometric indicators with cognitive performance of preschoolers aged 4-6 years in Peninsular Malaysia (n=1933). Parents were interviewed on socio-demographic background, nutrition knowledge, child feeding practices and food habits. Height and weight of the preschoolers were measured; BMI-for-age, weight-for-age and height-for-age were determined. Cognitive performance was assessed using Raven's Colored Progressive Matrices. The mean monthly household income was RM3610 and 59.6% of parents attained secondary education. Thirty-three percent of parents had good knowledge on nutrition, 39% satisfactory and 28% poor. For child feeding practices, perceived responsibility had the highest mean score (M=3.99, SD=0.72), while perceived child weight had the lowest (M=2.94, SD=0.38). The prevalence of possible risk of overweight, being overweight, and obesity were 3.9%, 7.9% and 8.1%, respectively, whereas the prevalence of underweight and stunting were 8.0% and 8.4%, respectively. Breakfast was the second most frequently skipped meal (16.8%) after dinner (18.1%). The mean cognitive score was 103.5 (SD=14.4). Height-for-age and consumption of dinner were found to contribute significantly towards cognitive performance after controlling for socio-demographic background and parent's nutrition knowledge.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anthropometry*
  • Body Height
  • Body Mass Index
  • Body Weight
  • Child
  • Child Nutritional Physiological Phenomena
  • Child, Preschool
  • Cognition / physiology*
  • Cross-Sectional Studies
  • Diet*
  • Feeding Behavior*
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Malaysia
  • Male
  • Parents
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Thinness