The prevalence and influencing factors of different metabolic types of obesity

HU Jing-yao; YANG Man; GUO Hai-jian; ZHU Xiao-yue; LIU Yu-xiang; XU Jin-shui; WANG Bei

doi:10.16462/j.cnki.zhjbkz.2020.09.004

Volume 24 Issue 9

Sep. 2020

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2020 > 24(9): 1009-1014, 1026

HU Jing-yao, YANG Man, GUO Hai-jian, ZHU Xiao-yue, LIU Yu-xiang, XU Jin-shui, WANG Bei. The prevalence and influencing factors of different metabolic types of obesity[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(9): 1009-1014, 1026. doi: 10.16462/j.cnki.zhjbkz.2020.09.004

Citation:

HU Jing-yao, YANG Man, GUO Hai-jian, ZHU Xiao-yue, LIU Yu-xiang, XU Jin-shui, WANG Bei. The prevalence and influencing factors of different metabolic types of obesity[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2020, 24(9): 1009-1014, 1026. doi: 10.16462/j.cnki.zhjbkz.2020.09.004

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The prevalence and influencing factors of different metabolic types of obesity

doi: 10.16462/j.cnki.zhjbkz.2020.09.004

1.
Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China
2.
Major S&T Project Executive Office of Changshu City Center for Disease Control and Prevention, Jiangsu Province, Changshu 215500, China
3.
Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China

Funds:

Special Research Project on Prevention and Control of Major Chronie Noncommuni-cable Diseases on Early Identification of Risk Factors, Early Diagnosis Technology and Pointcut of Diabe-tes 2016YFC1305700

More Information

Corresponding author: GUO Hai-jian, E-mail:guohjcdc@163.com; WANG-Bei, E-mail:wangbeilxb@163.com
Received Date: 2020-05-09
Rev Recd Date: 2020-07-13
Publish Date: 2020-09-10

Abstract

Abstract

Objective To explore the prevalence and distribution of different metabolic types of obesity among adults in Jiangsu Province, so as to provide basis for the study of influencing factors, early identification and intervention. Methods We conducted a cross-sectional sampling study in Jurong City of Zhenjiang City and Yandu District of Yancheng City of Jiangsu Province from April to July 2017. Subjects were selected to complete the survey, in which information of demographic and behavioral characteristics, physical examination and clinical indicators, were collected. According to metabolic indicators of America and obesity criteria of China, the population was divided into four metabolic types of obesity status. Logistic regression was used to analyze the prevalence and influencing factors. Results A total of 5 167 subjects were investigated, among which the proportion of metabolically healthy and normal weight (MHNW) was 17.90% and the prevalence of metabolically healthy obese (MHO), metabolically unhealthy but normal weight (MUHNW) and metabolically abnormal obese (MAO) were 19.18%, 15.52% and 47.40%, respectively. In obese population, the prevalence of MAO was higher in the older and male population. Alcohol consumption was a risk factor of MAO and the difference was statistically significant. Older people and the male were more likely to suffer from MUHNW among normal weight population. Compared with the normal population, drinking was associated with MAO, and no statistical association was found with MUHNW. Conclusions The prevalence of MHO and MUHNW in Jiangsu Province is high. Emphasis should be placed on the population of MUHNW and MHO. Strengthening health education, reducing alcohol and tobacco consumption will be helpful for early intervention of obese populations to reduce the prevalence of MAO.
- Metabolism,
- Obesity,
- Prevalence,
- Influencing factor

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References(29)

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