z-logo
open-access-imgOpen Access
Gender, Age, and Education Level Modify the Association between Body Mass Index and Physical Activity: A Cross-Sectional Study in Hangzhou, China
Author(s) -
Mengyu Fan,
Meng Su,
Yayun Tan,
Qingmin Liu,
Yanjun Ren,
Liming Li,
Jun Lv
Publication year - 2015
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0125534
Subject(s) - body mass index , demography , cross sectional study , multilevel model , physical activity , medicine , gerontology , young adult , association (psychology) , physical activity level , sedentary lifestyle , sedentary behavior , obesity , china , psychology , geography , physical therapy , archaeology , pathology , machine learning , sociology , computer science , psychotherapist
Numerous studies have reported a strong inverse association between BMI and physical activity in western populations. Recently, the association between BMI and physical activity has been considered bidirectional. This study aimed to examine the associations of body mass index (BMI) with physical activity and sedentary behavior and to explore whether those associations were modified by socio-demographic characteristics. Materials and Methods We conducted a multistage random sampling survey in three districts of Hangzhou, China, in 2012. The International Physical Activity Questionnaire long form was used to collect data regarding physical activity and sedentary behavior. A multilevel mixed-effects regression model was used to assess the associations of BMI with physical activity and sedentary behavior. Results A total of 1362 eligible people (624 men and 738 women, ages 23-59 years) completed the survey. People who are young or middle-aged and have the highest education level are the most inactive. Significant differences in the associations between physical activity and BMI across socio-demographic groups were identified (sex*BMI, P=0.018; age*BMI, P <0.001; education level*BMI, P =0.030). Women or individuals older than 50 had a higher level of physical activity with increasing BMI. There was no statistically significant association between BMI and sedentary behavior ( P =0.450). Conclusions The associations between BMI and physical activity were modified by sex, age, and education level in Hangzhou, China.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom