Evidence map›Paper›PMID 37946124›Full record

ArticleBMC public health2023

Unsupervised clustering analysis of comprehensive health status and its influencing factors on women of childbearing age: a cross-sectional study from a province in central China.

Lu He, Si-Tian Li, Meng-Xia Qin, Yan Yan, Yuan-Yuan La, Xi Cao, Yu-Tong Cai, Yu-Xiao Wang, Jie Liu, Da-Hong Wu and 1 more

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Lu HeDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China. heluhl2013@163.com.
Si-Tian LiDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Meng-Xia QinDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Yan YanDepartment of Contingency Management, Shanxi Provincial People's Hospital, Taiyuan, Shanxi, 030001, People's Republic of China.
Yuan-Yuan LaSchool of Social Development and Public Policy, Beijing Normal University, Beijing, 100000, People's Republic of China.
Xi CaoDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Yu-Tong CaiDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Yu-Xiao WangDepartment of Health Economics, School of Management, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Jie LiuDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Da-Hong WuDepartment of Social Medicine, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Qilong FengDepartment of Physiology, Key Laboratory of Cellular Physiology, Ministry of Education, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China. fengqilong@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost previous studies on women of childbearing age have focused on reproductive health and fertility intentions, and evidence regarding the comprehensive health status of women of childbearing age is limited. This study aimed to comprehensively examine the health status of women of childbearing age through a multi-method and multi-indicator evaluation, analyze the factors that influence their overall health, and provide sound recommendations for the improvement and promotion of healthy behaviors.

methodsData on women of childbearing age living in Shanxi Province were collected between September 2021 and January 2022 through online and offline surveys. The k-means algorithm was used to assess health-related patterns in women, and multivariate nonconditional logistic regression was used to assess the influencing factors of women's overall health.

resultsIn total, 1,258 of 2,925 (43%) participants were classified as having a good health status in all five domains of the three health dimensions: quality of life, mental health, and illness. Multivariate logistic regression showed that education level, gynecological examination status, health status of family members, access to medical treatment, age, cooking preferences, diet, social support, hand washing habits, attitude toward breast cancer prevention, and awareness of reproductive health were significantly associated with different health patterns.

conclusionsThe comprehensive health status of women of childbearing age in Shanxi Province is generally good; however, a large proportion of women with deficiencies in some dimensions remains. Since lifestyle greatly impacts women's health, health education on lifestyle and health-related issues should be strengthened.

Indexed as

FertilityQuality of LifeChinaCluster AnalysisCross-Sectional StudiesFemaleHumansCluster analysisCorrelationMultiple regressionWomen of childbearing ageWomen’s health

Identifiers

PMID37946124
PMCPMC10634171

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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.