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Prevalence of depressive disorders and associated demographic characteristics in Shandong: An epidemiological investigation

Prevalence of depressive disorders and associated demographic characteristics in Shandong: An epidemiological investigation
Prevalence of depressive disorders and associated demographic characteristics in Shandong: An epidemiological investigation
Background

Depression is characterized by debilitating symptoms and high recurrence rates, and there are relatively few large-scale epidemiological surveys of depressive disorders conducted in Shandong since 2005. Data from the largest Epidemiological Survey of Mental Disorders conducted in 2015 in Shandong were collected to investigate the prevalence of depressive disorders and associated demographic characteristics in general adult population.

Methods

A multi-stage stratified cluster sampling method was adopted to select residents and a two-stage screening and assessment process was used to define the prevalence and characteristics of depressive disorders. Respondents were initially screened using the General Health Questionnaire followed by a structured clinical interview using the DSM-IV criteria.

Results

Among 27,489 respondents who completed the survey, 1277 respondents met the diagnostic criteria for depressive disorders. The adjusted prevalence in the last month was 4.86%, among which the prevalence of major depressive disorder, dysthymia, and unspecified depressive disorder were 2.32%, 1.78%, and 0.75%, respectively. 40.35% of depression patients had moderate or severe functional impairment and only 10.65% of patients had visited a psychiatric service. Univariate and multivariate analyses revealed that age, gender, occupation, education, marital status, and urban/rural living were associated with the prevalence.

Limitations

The key limitation is that this is a cross-sectional survey therefore cannot draw any causal relationship between risk factors and disease progression.

Conclusions

Findings from this largest epidemiological study reveal current prevalence of depressive disorders and associated demographic factors and offers opportunities for policy makers and health-care professionals to improve mental health provision in Shandong.

Adult, Cross-Sectional Studies, Depressive Disorder, Major/diagnosis, Diagnostic and Statistical Manual of Mental Disorders, Dysthymic Disorder/epidemiology, Humans, Prevalence
0165-0327
198-204
Cheng, Xiaojing
9a93d740-2d0f-42af-8e05-0608f7bb3461
Wang, Qian
a9a64412-49cc-4ab7-9bb6-646551219d66
Wang, Ruzhan
8fc87376-e3f9-47af-9957-df30348a7d3a
Wang, Yanhu
5bd55b87-015e-42db-ba08-4a0667f1dcce
Chen, Xiuzhe
6a4c5ee8-577b-471b-a6d8-1c846cf2f41d
Mi, Guolin
32ae4bee-0039-4132-9dd6-8264593ff2d9
Chen, Xu
aab5bd71-cd0e-406b-9b44-c987614679eb
Wang, Lina
2693c9b9-ae7d-4c2b-8867-adc2c53bf4df
Wang, Can
8fdf8b6a-4477-4f19-96b5-c79a00ab7df6
Hu, Lili
d09b0f4c-18fd-44ed-ac63-40b0cfb5f7f6
Gu, Lingxi
69033154-d17e-4c82-83dc-be6e160bf73a
Zhang, Jingxuan
8985ba19-1f98-4261-8b8b-a45bc9e56197
Hou, Ruihua
470bdcbc-93a9-4dad-aac5-26d455c34376
Cheng, Xiaojing
9a93d740-2d0f-42af-8e05-0608f7bb3461
Wang, Qian
a9a64412-49cc-4ab7-9bb6-646551219d66
Wang, Ruzhan
8fc87376-e3f9-47af-9957-df30348a7d3a
Wang, Yanhu
5bd55b87-015e-42db-ba08-4a0667f1dcce
Chen, Xiuzhe
6a4c5ee8-577b-471b-a6d8-1c846cf2f41d
Mi, Guolin
32ae4bee-0039-4132-9dd6-8264593ff2d9
Chen, Xu
aab5bd71-cd0e-406b-9b44-c987614679eb
Wang, Lina
2693c9b9-ae7d-4c2b-8867-adc2c53bf4df
Wang, Can
8fdf8b6a-4477-4f19-96b5-c79a00ab7df6
Hu, Lili
d09b0f4c-18fd-44ed-ac63-40b0cfb5f7f6
Gu, Lingxi
69033154-d17e-4c82-83dc-be6e160bf73a
Zhang, Jingxuan
8985ba19-1f98-4261-8b8b-a45bc9e56197
Hou, Ruihua
470bdcbc-93a9-4dad-aac5-26d455c34376

Cheng, Xiaojing, Wang, Qian, Wang, Ruzhan, Wang, Yanhu, Chen, Xiuzhe, Mi, Guolin, Chen, Xu, Wang, Lina, Wang, Can, Hu, Lili, Gu, Lingxi, Zhang, Jingxuan and Hou, Ruihua (2022) Prevalence of depressive disorders and associated demographic characteristics in Shandong: An epidemiological investigation. Journal of Affective Disorders, 311, 198-204. (doi:10.1016/j.jad.2022.05.084).

Record type: Article

Abstract

Background

Depression is characterized by debilitating symptoms and high recurrence rates, and there are relatively few large-scale epidemiological surveys of depressive disorders conducted in Shandong since 2005. Data from the largest Epidemiological Survey of Mental Disorders conducted in 2015 in Shandong were collected to investigate the prevalence of depressive disorders and associated demographic characteristics in general adult population.

Methods

A multi-stage stratified cluster sampling method was adopted to select residents and a two-stage screening and assessment process was used to define the prevalence and characteristics of depressive disorders. Respondents were initially screened using the General Health Questionnaire followed by a structured clinical interview using the DSM-IV criteria.

Results

Among 27,489 respondents who completed the survey, 1277 respondents met the diagnostic criteria for depressive disorders. The adjusted prevalence in the last month was 4.86%, among which the prevalence of major depressive disorder, dysthymia, and unspecified depressive disorder were 2.32%, 1.78%, and 0.75%, respectively. 40.35% of depression patients had moderate or severe functional impairment and only 10.65% of patients had visited a psychiatric service. Univariate and multivariate analyses revealed that age, gender, occupation, education, marital status, and urban/rural living were associated with the prevalence.

Limitations

The key limitation is that this is a cross-sectional survey therefore cannot draw any causal relationship between risk factors and disease progression.

Conclusions

Findings from this largest epidemiological study reveal current prevalence of depressive disorders and associated demographic factors and offers opportunities for policy makers and health-care professionals to improve mental health provision in Shandong.

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More information

Accepted/In Press date: 15 May 2022
e-pub ahead of print date: 18 May 2022
Published date: 15 August 2022
Additional Information: Copyright © 2022. Published by Elsevier B.V.
Keywords: Adult, Cross-Sectional Studies, Depressive Disorder, Major/diagnosis, Diagnostic and Statistical Manual of Mental Disorders, Dysthymic Disorder/epidemiology, Humans, Prevalence

Identifiers

Local EPrints ID: 457939
URI: http://eprints.soton.ac.uk/id/eprint/457939
ISSN: 0165-0327
PURE UUID: 2efef92b-8290-46f5-8aaf-9e08e4f5deee
ORCID for Ruihua Hou: ORCID iD orcid.org/0000-0001-6127-1478

Catalogue record

Date deposited: 23 Jun 2022 16:46
Last modified: 01 Sep 2022 01:41

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Contributors

Author: Xiaojing Cheng
Author: Qian Wang
Author: Ruzhan Wang
Author: Yanhu Wang
Author: Xiuzhe Chen
Author: Guolin Mi
Author: Xu Chen
Author: Lina Wang
Author: Can Wang
Author: Lili Hu
Author: Lingxi Gu
Author: Jingxuan Zhang
Author: Ruihua Hou ORCID iD

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