Association between Take-Out Food Consumption and Obesity among Chinese University Students: A Cross-Sectional Study

Int J Environ Res Public Health. 2019 Mar 25;16(6):1071. doi: 10.3390/ijerph16061071.

Abstract

Background: The frequency of take-out food consumption has increased rapidly among Chinese college students, which has contributed to high obesity prevalence. However, the relationships between take-out food consumption, body mass index (BMI), and other individual factors influencing eating behavior among college students are still unclear. This study explored the association of take-out food consumption with gender, BMI, physical activity, preference for high-fat and high-sugar (HFHS) food, major category, and degree level among Chinese college students.

Methods: Cross-sectional data were collected from 1220 college students in Beijing, China, regarding information about take-out food consumption, physical activity, and preference for HFHS food using a self-reported questionnaire. The logistic linear regression model was used to analyze the association between take-out food consumption and personal and lifestyle characteristics.

Results: Out of 1220 college students, 11.6% of college students were overweight or obese. Among the personal and lifestyle characteristics, high frequency of take-out food consumption was significantly associated with a non-medical major, high preference for HFHS food, degree level, and higher BMI, but not physical activity.

Conclusion: Among Chinese college students, consumption of take-out food may be affected by major category, preference for HFHS food, degree level, and BMI. This could provide guidance on restrictions of high take-out food consumption, which contributes to high obesity prevalence and high risk for metabolic diseases.

Keywords: degree level; major category; obesity; take-out food consumption; taste preference.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • China / epidemiology
  • Cross-Sectional Studies
  • Fast Foods / statistics & numerical data*
  • Feeding Behavior*
  • Female
  • Humans
  • Life Style
  • Linear Models
  • Logistic Models
  • Male
  • Obesity / epidemiology*
  • Obesity / etiology
  • Overweight / epidemiology
  • Overweight / etiology
  • Prevalence
  • Students / statistics & numerical data*
  • Universities
  • Young Adult