Investigation on anxiety and depression of employees in municipal and above administrative organs and public institutions in Qinghai region

BackgroundThe mental health problems of employees in administrative organs and public institutions are highly valued. However, there is a lack of understanding regarding the mental health status of employees in provincial and municipal administrative organs and public institutions in Qinghai region.ObjectiveTo analyze the anxiety and depression of employees in provincial and municipal administrative organs and public institutions in Qinghai region, so as to provide references for promoting their mental health and intervening in psychological problems.MethodsFrom October 23 to 28, 2022, a total of 3 096 employees in provincial and municipal administrative organs and public institutions in Qinghai region were enrolled using stratified cluster sampling technique, and were assessed using Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS).ResultsA total of 1797 (58.04%) employees in municipal and above administrative organs and public institutions in Qinghai region completed a valid questionnaire survey. Depressive symptoms were noted in 579 (32.22%). SDS scores yielded statistical difference among the selected employees of different ethnicities, types of job positions and educational levels (F=9.074, 101.488, 4.477, P<0.01), and the severity of depressive symptoms also demonstrated statistical difference among the selected employees with different ethnicities, educational levels and types of job positions (H=49.196, 17.028, 160.848, P<0.01). Anxiety symptoms were detected in 711 (39.57%) employees. SAS scores exhibited statistical difference among the employees with different genders, ages, ethnicities, educational levels, marital status and types of job positions (t=-4.571, F=6.648, 3.950, 5.243, 12.008, 22.253, P<0.01). Statistical differences were also illustrated in the severity of anxiety symptoms among the selected employees with different ages, genders, ethnicities, educational levels, marital status and types of job positions (H=24.361, -3.788, 28.365, 24.268, 25.976, 56.204, P<0.01).ConclusionAbout one-third of employees in municipal and above administrative organs and public institutions in Qinghai region may have symptoms of depression and anxiety. The depression symptoms are more severe among Tibetan people, those with low education levels and ordinary civil servants. The anxiety symptoms are more severe among employees aged 30 and below, those with low education levels, unmarried and those in technical positions [Funded by 2020 Guiding Plan Project for the Health System of Qinghai Province (number, 2020-wjzdx-71)]

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.11886/scjsws20230420001
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation on anxiety and depression of employees in municipal and above administrative organs and public institutions in Qinghai region

SHILAP Revista de lepidopterología
Workplace Health and Well-being
article

Investigation on anxiety and depression of employees in municipal and above administrative organs and public institutions in Qinghai region

article en

Abstract

BackgroundThe mental health problems of employees in administrative organs and public institutions are highly valued. However, there is a lack of understanding regarding the mental health status of employees in provincial and municipal administrative organs and public institutions in Qinghai region.ObjectiveTo analyze the anxiety and depression of employees in provincial and municipal administrative organs and public institutions in Qinghai region, so as to provide references for promoting their mental health and intervening in psychological problems.MethodsFrom October 23 to 28, 2022, a total of 3 096 employees in provincial and municipal administrative organs and public institutions in Qinghai region were enrolled using stratified cluster sampling technique, and were assessed using Self-rating Anxiety Scale (SAS) and Self-rating Depression Scale (SDS).ResultsA total of 1797 (58.04%) employees in municipal and above administrative organs and public institutions in Qinghai region completed a valid questionnaire survey. Depressive symptoms were noted in 579 (32.22%). SDS scores yielded statistical difference among the selected employees of different ethnicities, types of job positions and educational levels (F=9.074, 101.488, 4.477, P<0.01), and the severity of depressive symptoms also demonstrated statistical difference among the selected employees with different ethnicities, educational levels and types of job positions (H=49.196, 17.028, 160.848, P<0.01). Anxiety symptoms were detected in 711 (39.57%) employees. SAS scores exhibited statistical difference among the employees with different genders, ages, ethnicities, educational levels, marital status and types of job positions (t=-4.571, F=6.648, 3.950, 5.243, 12.008, 22.253, P<0.01). Statistical differences were also illustrated in the severity of anxiety symptoms among the selected employees with different ages, genders, ethnicities, educational levels, marital status and types of job positions (H=24.361, -3.788, 28.365, 24.268, 25.976, 56.204, P<0.01).ConclusionAbout one-third of employees in municipal and above administrative organs and public institutions in Qinghai region may have symptoms of depression and anxiety. The depression symptoms are more severe among Tibetan people, those with low education levels and ordinary civil servants. The anxiety symptoms are more severe among employees aged 30 and below, those with low education levels, unmarried and those in technical positions [Funded by 2020 Guiding Plan Project for the Health System of Qinghai Province (number, 2020-wjzdx-71)]

SHILAP Revista de lepidopterología
Gender equality
Openalex Percentile: Top 41%
Workplace Health and Well-being
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.