Prevalence of Excessive Weight and Underweight and Its Associated Knowledge and Lifestyle Behaviors among Urban Private School-Going Adolescents in New Delhi

Nutrients. 2021 Sep 21;13(9):3296. doi: 10.3390/nu13093296.

Abstract

With rapid urbanization and the Indian nutrition transition, Indian adolescents face a high risk of developing an energy imbalance. This study aims to assess the prevalence of excessive weight, underweight, and associated knowledge and lifestyle behaviors among private school-going adolescents in Delhi. A cross-sectional study was conducted in students (6th-7th grades) of eight randomly selected private schools in Delhi, India in 2019. A self-administered survey was used to assess students' dietary-and-physical-activity-related knowledge and behavior. Anthropometric measurements (height, weight, and waist circumference) were also conducted. Out of 1567 participants, 7.2% were underweight, 61.3% normal, and 31.5% excess in weight. Underweight was associated with significantly more eating whilst studying for exams (relative risk ratio (RRR) 1.7 (1.0-2.9)). Excessive weight was associated with less incorrect knowledge on behaviors causing overweight (RRR 0.7 (0.5-0.9)), more often reading nutritional labels of packed food items (RRR 0.6 (0.4-0.9)), and less frequent vegetable-intake (RRR 0.7 (0.4-0.9)). Underweight students showed more suboptimal knowledge and unhealthy behaviors, whilst students with excessive weight showed more correct knowledge and healthy behaviors. This study highlights the immediate need for effective health-promoting interventions focused on the importance of healthy lifestyle at least in underweight adolescents.

Keywords: India; adolescents; body mass index; excessive weight; knowledge; lifestyle behaviors; underweight.

MeSH terms

  • Adolescent
  • Child
  • Diet Surveys
  • Feeding Behavior
  • Female
  • Health Knowledge, Attitudes, Practice*
  • Humans
  • India
  • Life Style
  • Male
  • Pediatric Obesity / epidemiology*
  • Pediatric Obesity / psychology
  • Schools / statistics & numerical data
  • Thinness / epidemiology*
  • Thinness / psychology
  • Urban Population / statistics & numerical data