Body Weight Misperception and Its Association with Unhealthy Eating Behaviors among Adolescents in China

Int J Environ Res Public Health. 2018 May 8;15(5):936. doi: 10.3390/ijerph15050936.

Abstract

This study aims to examine associations between body weight misperception and eating behaviors among Chinese adolescents. Students (N = 2641) from a middle school and a high school in Wuhan, China participated in a cross-sectional study in May 2016. A questionnaire based on the World Health Organization’s Global School-Based Student Health Survey was employed to assess responses. Self-reported data, including weight, height, body weight perception, and eating habits, were collected. Body Mass Index (BMI) for age z-score was calculated from self-reported height and weight using WHO AnthroPlus. We used descriptive, logistic regression analysis and a Kappa test to analyze the data using SPSS. Overall, 56.6% of participants did not correctly categorize their weight status; these were much more likely to be girls. Compared with the correctly-perceived group, those who underestimated their weight tended to report eating late at night, having dinners with family, and checking nutrition labels. In contrast, weight overestimating students were less likely to report eating late at night, having breakfasts with family, having dinners with family, and discussing nutrition topics over meals. Body weight misperception was associated with unhealthy eating behaviors among Chinese adolescents.

Keywords: adolescents; body weight misperception; unhealthy eating behaviors.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adolescent Behavior / psychology*
  • Body Image / psychology*
  • Body Mass Index
  • Body Weight
  • China / epidemiology
  • Cross-Sectional Studies
  • Feeding Behavior / psychology*
  • Feeding and Eating Disorders / epidemiology*
  • Feeding and Eating Disorders / psychology*
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Male
  • Students / statistics & numerical data
  • Surveys and Questionnaires