Evidence map›Paper›PMID 37990228›Full record

ArticleBMC public health2023

Clustering of lifestyle behaviours and analysis of their associations with MAFLD: a cross-sectional study of 196,515 individuals in China.

Bingqian Zhou, Ni Gong, Qingnan He, Xinjuan Huang, Jingchi Zhu, Lijun Zhang, Yanyan Huang, Xinyun Tan, Yuanqin Xia, Yu Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 10 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Bingqian ZhouDepartment of Health Management Center, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, 410013, China.
Ni GongDepartment of Health Management Center, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, 410013, China.
Qingnan HeDepartment of Health Management Center, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, 410013, China.
Xinjuan HuangXiangya Nursing School, Central South University, Changsha, 410013, China.
Jingchi ZhuJishou University School of Medicine, Jishou, 416000, China.
Lijun ZhangState Key Laboratory of Ultrasound in Medicine and Engineering, School of Public Health and Management, Chongqing Medical University, No.1, Medical College Road , Chongqing, 400016, China.
Yanyan HuangState Key Laboratory of Ultrasound in Medicine and Engineering, School of Public Health and Management, Chongqing Medical University, No.1, Medical College Road , Chongqing, 400016, China.
Xinyun TanXiangya Nursing School, Central South University, Changsha, 410013, China.
Yuanqin XiaJishou University School of Medicine, Jishou, 416000, China.
Yu ZhengXiangya Nursing School, Central South University, Changsha, 410013, China.
Qiuling ShiState Key Laboratory of Ultrasound in Medicine and Engineering, School of Public Health and Management, Chongqing Medical University, No.1, Medical College Road , Chongqing, 400016, China. qshi@cqmu.edu.cn.
Chunxiang QinDepartment of Health Management Center, The Third Xiangya Hospital, Central South University, No.138, Tongzipo Road, Changsha, 410013, China. chunxiangqin@csu.edu.cn.
Central South University · CNChongqing Medical University · CNJishou University · CNThird Xiangya Hospital · CN

Funding

Fundamental Research Funds for Central Universities of the Central South University 2021zzts1016Key Research and Development Program of Hunan Province of China 2020SK2089Key Research and Development Program of Hunan Province of China 2021SK2024National Natural Science Foundation of China 72074225Natural Science Foundation of Hunan Province 2022JJ70066
6 · The paper itself

Abstract

backgroundThe aggregation of lifestyle behaviours and their association with metabolic-associated fatty liver disease (MAFLD) remain unclear. We identified lifestyle patterns and investigated their association with the risk of developing MAFLD in a sample of Chinese adults who underwent annual physical examinations.

methodsAnnual physical examination data of Chinese adults from January 2016 to December 2020 were used in this study. We created a scoring system for lifestyle items combining a statistical method (multivariate analysis of variance) and clinical expertise (Delphi method). Subsequently, principal component analysis and two-step cluster analysis were implemented to derive the lifestyle patterns of men and women. Binary logistic regression analysis was used to explore the prevalence risk of MAFLD among lifestyle patterns stratified by sex.

resultsA total of 196,515 subjects were included in the analysis. Based on the defined lifestyle scoring system, nine and four lifestyle patterns were identified for men and women, respectively, which included "healthy or unhealthy" patterns and mixed patterns containing a combination of healthy and risky lifestyle behaviours. This study showed that subjects with an unhealthy or mixed pattern had a significantly higher risk of developing MAFLD than subjects with a relatively healthy pattern, especially among men.

conclusionsClusters of unfavourable behaviours are more prominent in men than in women. Lifestyle patterns, as important factors influencing the development of MAFLD, show significant sex differences in the risk of MAFLD. There is a strong need for future research to develop targeted MAFLD interventions based on the identified behavioural clusters by sex stratification.

Indexed as

Life StyleNon-alcoholic Fatty Liver DiseaseAdultChinaCluster AnalysisCross-Sectional StudiesFemaleHumansMaleMultivariate AnalysisCluster analysisLifestyle patternLifestyle scoring systemMAFLDMultivariate analysis of variancePrincipal component analysis

Identifiers

PMID37990228
PMCPMC10664514
OpenAlexW4388859794

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.