Evidence map›Paper›PMID 34966301›Full record

ArticleFrontiers in psychiatry2021

Depression Levels of State Functionaries: Empirical Evidence From China.

Li He, Kun Wang, Zixian Zhang, Jiangyin Wang, Tianyang Li, Yuting Wang, Lixingzi Yang, Yuanyang Wu, Shuo Zhang, Siqing Zhang and 1 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Li HeSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Kun WangSchool 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.
Tianyang LiSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Yuting WangSchool of Philosophy, Zhongnan University of Economics and Law, Wuhan, China.
Lixingzi YangSchool of Public Administration, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the depression levels of those serving as state functionaries in China. We used data from the 2016 China Labor-force Dynamics Survey and the ordinary least squares model for the regression analysis. The results found: i) The degree of depression of state functionaries was found to be lower than that of other workers; that is, the overall depression index of state functionaries was 1.010 points lower, and the result was significant at the degree of 1%; ii) state functionaries had a lower degree of depression than workers in all other occupation groups; iii) older state functionaries had lower depression than their younger counterparts; iv) the degree of depression of state functionaries in the provinces involved in China's three major urban agglomerations was higher than that of those in other provinces; and v) the degree of depression of female state functionaries was lower than that their male peers. Thus, there is an association between serving as a state functionary in China and depression. State functionaries have lower levels of depression than other working groups. These levels were generally lower but varied according to age, sex, and province.

Indexed as

Chinese state functionarydepressionmental healthoccupationoccupational health

Identifiers

PMID34966301
PMCPMC8710587

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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.