Evidence map›Paper›PMID 37858126›Full record

ArticleBMC public health2023

Decomposition and comparative analysis of health inequities between the male and female older adults in China: a national cross-sectional study.

Zhe Zhao, Boyang Yu, Fangyuan Hu, Chao Zheng, Jing Gui, Jiahao Liu, Jinhai Sun, Jinhao Shi, Lei Yuan

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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 at 3 institutions in 1 country.

Zhe Zhao *Department of Health Management, Second Military Medical University, Shanghai, China.
Boyang Yu *Department of Military Health Service, Second Military Medical University, Shanghai, China.
Fangyuan Hu *Department of Medical Service, Naval Hospital of Eastern Theater, Zhoushan, China.
Chao ZhengDepartment of Acupuncture and Rehabilitation, the Second Affiliated Hospital of Guizhou, University of Traditional Chinese Medicine, Guiyang, China.
Jing GuiDepartment of Military Health Service Training, Second Military Medical University, Shanghai, China.
Jiahao LiuXiamen Special Service Health Center of The Army, Xiamen, China.
Jinhai SunDepartment of Health Management, Second Military Medical University, Shanghai, China. sunjinhai2003@sina.cn.
Jinhao ShiDepartment of Research and Academic Management, Second Military Medical University, Shanghai, China. shijinhaohyd@163.com.
Lei YuanDepartment of Health Management, Second Military Medical University, Shanghai, China. yuanleigz@163.com.
Second Military Medical University · CNGuizhou University · CNZhoushan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to examine the factors influencing self-rated health (SRH) among Chinese older adults by gender differences and provide suggestions and theoretical references to help make policies for older adults' health concerns by government agencies.

methodsChinese Longitudinal Health Longevity Survey (CLHLS) in 2018 was adopted, the chi-squared test and the logistic regression analysis were performed to analyse self-rated health reported by Chinese female and male older adults and its influencing factors. In addition, Fairlie decomposition analysis was performed to quantify the contribution level of different influencing factors.

resultsAmong older adults, males (48.0%) reported a significantly higher level of good self-rated health than females (42.3%). Residence, body mass index (BMI), self-reported income, smoking, drinking, exercise, and social activity were the factors that influenced SRH reported by male and female respondents, with age, marital status and education reaching the significance level only in women. The Fairlie decomposition model can explain the underlying reasons for 86.7% of the gender differences in SRH, with self-reported income (15.3%), smoking (32.7%), drinking (42.5%), exercise (17.4%), social activity (15.1%) and education (-14.6%) being the major factors affecting gender differences in SRH.

conclusionsThe study results can help promote the implementation of the Healthy China Initiative, inform intervention measures, and offer new proposals on creating policies for older adults' health issues by the Chinese government to improve health equity.

Indexed as

Health StatusIncomeAgedChinaCross-Sectional StudiesFemaleHealth InequitiesHealth SurveysHumansMaleFairlie decomposition analysisHealth inequitiesOlder adultsSelf-rated health

Identifiers

PMID37858126
PMCPMC10588259
OpenAlexW4387774506

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.