Evidence map›Paper›PMID 35433593›Full record

ArticleFrontiers in public health2022

Effects of Serving as a State Functionary on Self-Rated Health: Empirical Evidence From China.

Li He, Zixian Zhang, Jiangyin Wang, Yuting Wang, Tianyang Li, Tianyi Yang, Tianlan Liu, Yuanyang Wu, Shuo Zhang, Siqing Zhang and 2 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

12 authors.

Li HeSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Zixian ZhangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Jiangyin WangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Yuting WangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Tianyang LiSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Tianyi YangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Tianlan LiuSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Yuanyang WuSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Shuo ZhangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Siqing ZhangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Hualei YangSchool of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
Kun WangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: There is a strong link between occupation and self-rated health. Existing research has revealed the effects of occupation on self-rated health outcomes and the corresponding mechanisms. However, there is a lack of research on the effects of state services on self-rated health in China. Therefore, this study focuses on exploring the effects of serving as a state functionary in China on self-rated health to enrich research in related fields. Method: Based on the data of 14,138 individuals collected from the 2016 China Labour-Force Dynamics Survey, the logit model was used to investigate the effects of serving as a state functionary on self-rated health and the difference in the effects across different populations. Results: The results show that (1) serving as a state functionary has a significant positive effect on self-rated health; (2) self-rated health of elderly state functionaries is higher than that of younger state functionaries; (3) self-rated health of state functionaries in non-eastern regions is higher than that of state functionaries in eastern regions; and (4) state functionaries with lower education have higher self-rated health than highly-educated state functionaries; (5) Higher self-rated health of state functionaries is achieved primarily through better work time, better work environment and lower relative deprivation. Conclusion: Serving as a state functionary in China has a significant positive correlation with self-rated health, with differences across populations of state functionaries. This study expands the current literature on the effects of occupation on self-rated health in the context of China.

Indexed as

EmploymentAgedChinaEducational StatusHumansLogistic ModelsSurveys and QuestionnairesChina Labour-Force Dynamics Surveycivil servantsoccupationself-rated healthstate functionary

Identifiers

PMID35433593
PMCPMC9012441

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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.