Evidence map›Paper›PMID 34360055›Full record

ArticleInternational journal of environmental research and public health2021

Relations of Lifestyle Behavior Clusters to Dyslipidemia in China: A Compositional Data Analysis.

Xiaona Na, Yangyang Chen, Xiaochuan Ma, Dongping Wang, Haojie Wang, Yang Song, Yumeng Hua, Peiyu Wang, Aiping Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

9 authors.

Xiaona NaDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Yangyang ChenDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Xiaochuan MaDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Dongping WangWuhai Center for Disease Control and Prevention, Inner Mongolia 016099, China.
Haojie WangWuhai Center for Disease Control and Prevention, Inner Mongolia 016099, China.
Yang SongWuhai Center for Disease Control and Prevention, Inner Mongolia 016099, China.
Yumeng HuaDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Peiyu WangDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Aiping LiuDepartment of Social Medicine and Health Education, School of Public Health, Peking University Health Science Center, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is associated with lifestyle behaviors, while several lifestyle behaviors exist collectively among some populaitons. This study aims to identify lifestyle behavior clusters and their relations to dyslipidemia. This cross-sectional study was conducted in Wuhai City, China. Cluster analysis combined with compositional data analysis was conducted, with 24-h time-use on daily activities and dietary patterns as input variables. Multiple logistic regression was conducted to compare dyslipidemia among clusters. A total of 4306 participants were included. A higher prevalence of newly diagnosed dyslipidemia was found among participants in cluster 1 (long sedentary behavior (SB) and the shortest sleep, high-salt and oil diet) /cluster 5 (the longest SB and short sleep), relative to the other clusters in both age groups (<50 years and ≥50 years). In conclusion, unhealthy lifestyle behaviors may exist together among some of the population, suggesting that these people are potential subjects of health education and behavior interventions. Future research should be conducted to investigate the relative significance of specific lifestyle behaviors in relation to dyslipidemia.

Indexed as

Data AnalysisDyslipidemiasChinaCluster AnalysisCross-Sectional StudiesDietExerciseHumansLife StyleMiddle Aged24-h time-usecompositional datadietary patterndyslipidemialifestyle behavior cluster

Identifiers

PMID34360055
PMCPMC8345671

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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.