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- Title
Association between Sedentary Behavior during Leisure Time and Excessive Weight in Chinese Children, Adolescents, and Adults.
- Authors
Su, Ya; Li, Xueyuan; Li, Huilun; Xu, Jiawei; Xiang, Mi
- Abstract
(1) Background: Sedentary behavior is increasing in all age groups and is one of the most common lifestyles that is a risk factor for overweight and obesity; however, few studies have evaluated the impact of leisure-time sedentary behavior on overweight and obesity. This study aims to examine the distribution characteristics of different leisure-time sedentary behaviors and their effects on excessive weight in different age groups in the Chinese population to provide evidence for the development of behavioral interventions. (2) Methods: This study utilizes data from the 2004 to 2011 China Health and Nutrition Survey (CHNS). Participants ranged in age from 6 to 18 years or older and were from China. Weight and height were measured in the physical examination, and the sedentary behavior times during leisure periods were collected by using a questionnaire. Logistic regression models were performed for association analyses. (3) Results: A total of 36,169 participants were included in this study. The impact of screen-based sedentary leisure time on excessive weight is greater in middle-aged and older adults. For middle-aged adults, sedentary time periods spent on the Internet or video games were found to be significantly and positively associated with excessive weight (OR, 1.122, 95% CI, 1.005–1.253). In addition, for older adults, sedentary time periods spent watching television or videos were found to be significantly and positively associated with excessive weight (OR, 1.065, 95% CI, 1.035–1.095). (4) Conclusions: This study helps grasp the target population and provide evidence for the development of behavioral intervention guidelines.
- Subjects
CHINA; OBESITY risk factors; RISK of childhood obesity; SEDENTARY lifestyles; CONFIDENCE intervals; AGE distribution; RISK assessment; SCREEN time; QUESTIONNAIRES; RESEARCH funding; LOGISTIC regression analysis; ODDS ratio; SECONDARY analysis
- Publication
Nutrients, 2023, Vol 15, Issue 2, p424
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu15020424