Literature DB >> 28740055

Prevalence of metabolically obese but normal weight (MONW) and metabolically healthy but obese (MHO) in Chinese Beijing urban subjects.

Yan Zhang1, Jing Fu1, Shuwen Yang1, Ming Yang1, Annan Liu1, Leilei Wang1, Suyan Cao1, Xue Sun1, Fang Wang2, Deping Liu2.   

Abstract

The aim of this study was to assess the prevalence of metabolic syndrome (MetS) in non-obese adults (body mass index (BMI) < 25 kg/m2) and the prevalence of obese adults (body mass index (BMI) ≥ 25 kg/m2) without MetS in Chinese Beijing urban subjects. A cross-sectional study was conducted and the subjects who came to the hospital to receive a health examination were enrolled randomly. Regardless of age stratification, men have a higher prevalence of MetS than women. Among the urban Beijing population, prevalence of metabolically obese but normal weight (MONW) is lower than metabolically healthy but obese (MHO) regardless of gender. Except for the underweight group, participants exhibit significant differences between MetS and non-MetS subgroups in all tested variables in normal weight and overweight groups, whereas MONW and MHO participants exhibit significant differences in all variables except for creatinine (CR), aspartate aminotransferase (AST), uric acid (UAC) and high-density lipoprotein cholesterol (HDL-C). Women tend to have a higher MONW prevalence but lower MHO prevalence than men. Accordingly, MetS happens more frequently among those 40-59 yr. Besides, sex, age, WC, SBP, DBP, ALT, FG, UAC, TG, HDL-C and LDL-C are risk factors for MetS after multivariate adjustment. In conclusion, the prevalence of MONW is lower than MHO regardless of gender. Women tend to have a higher MONW prevalence but lower MHO prevalence than men.

Entities:  

Keywords:  Metabolic syndrome; metabolically obese but normal weight (MONW); metabolically healthy but obese (MHO); prevalence

Mesh:

Year:  2017        PMID: 28740055     DOI: 10.5582/bst.2017.01016

Source DB:  PubMed          Journal:  Biosci Trends        ISSN: 1881-7815            Impact factor:   2.400


  9 in total

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  9 in total

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