Evidence map›Paper›PMID 32293373›Full record

ArticleBMC public health2020

Prevalence and epidemiological determinants of metabolically obese but normal-weight in Chinese population.

Qianqian Zheng, Weihua Lin, Chengguo Liu, Yaohan Zhou, Tianhui Chen, Liqun Zhang, Xuhui Zhang, Senhai Yu, Qiong Wu, Ziqi Jin and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
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  16. Body Composition and Anthropometric Indicators in Children and Adolescents 6-15 Years Old.International journal of environmental research and public health · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Qianqian ZhengDepartment of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Weihua LinHangzhou MetaWell Technology Co., Hangzhou, China.
Chengguo LiuPutuo District People's Hospital, Zhoushan, 316100, Zhejiang, China.
Yaohan ZhouDepartment of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Tianhui ChenDepartment of Cancer Prevention, Zhejiang Cancer Hospital, Hangzhou, 310022, Zhejiang Province, China.
Liqun ZhangPutuo District People's Hospital, Zhoushan, 316100, Zhejiang, China.
Xuhui ZhangHangzhou Center for Disease Control and Preventio, Hangzhou, 310051, Zhejiang, China.
Senhai YuDaicun Town Community Health Service Center, Xiaoshan District, Hangzhou, Zhejiang, China.
Qiong WuDepartment of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Ziqi JinDepartment of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
Yimin ZhuDepartment of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China. zhuym@zju.edu.cn.
Zhejiang University · CNCentral Hospital of Putuo District · CNHangzhou Center for Disease Control and Prevention · CNSir Run Run Shaw Hospital · CNZhejiang Cancer Hospital · CN

Funding

Hangzhou Science and Technology Project 20171226Y27National Key Research and Development Program of China 2017YFC0907004
6 · The paper itself

Abstract

backgroundThere is metabolic heterogeneity in normal-weight individuals, however, there has been limited research in the Chinese population. This study aimed to investigate the prevalence, distribution and epidemiological determinants of metabolically obese but normal-weight (MONW) in a Chinese population.

methodsA total of 17,876 normal-weight individuals were recruited from 37,815 individuals in Zhejiang province in southeastern China. Normal-weight was defined as a body mass index (BMI) of 18.5-23.9 kg/m

resultsThe prevalence of metabolic abnormality was 34.1% in normal-weight individuals, and the overall prevalence of MONW was 16.1% in the general population. Different MONW distributions were found between men and women depending on age. Compared with women, men had a significantly higher MONW prevalence among those aged < 45 years old, and there was a lower prevalence for those aged ≥50 years old. Higher BMI or waist circumference (WC), central obesity, menopause, and family histories of hypertension, diabetes, and cardiovascular diseases, increased MONW risk. Higher education levels, regular alcohol drinking, and balanced or vegetarian food preferences reduced MONW risk.

conclusionsNormal-weight individuals have metabolic heterogeneity in China. The MONW distribution between men and women depends on age. BMI, WC, dietary factors, and family history of chronic diseases, are associated with metabolic status.

Indexed as

Body Mass IndexBody WeightAdultAgedAsian PeopleCardiovascular DiseasesChinaDiabetes MellitusFemaleHumansHypertensionLogistic ModelsMaleMenopauseMetabolic SyndromeMiddle AgedBody mass index (BMI)HeterogeneityMetabolically obesity normal-weight (MONW)Waist circumference (WC)

Identifiers

PMID32293373
PMCPMC7161294
OpenAlexW3015990177

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.