Evidence map›Paper›PMID 38872130›Full record

ArticleBMC public health2024

Notable dysthymia: evolving trends of major depressive disorders and dysthymia in China from 1990 to 2019, and projections until 2030.

Wei Wang, Yihe Wang, Feng Wang, Hui Chen, Xiaqing Qin, Lexia Yang, Xiaorong Yang, Lejin Yang

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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3 · Its place in the literature

Who cites it

8 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

8 authors.

Wei Wang *Department of Psychology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, Shandong, 250012, China.
Yihe Wang *Department of Neurology, The Second Hospital of Shandong University, Jinan, China.
Feng WangDepartment of Education, Guangxi Normal University, Guilin, China.
Hui ChenClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China.
Xiaqing QinDepartment of Psychology, Shandong Normal University, Jinan, China.
Lexia YangNursing Department, The Third Hospital of Jinan, Jinan, Shandong, 250000, China.
Xiaorong YangClinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, China. yangxiaorong@sdu.edu.cn.
Lejin YangDepartment of Psychology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, Shandong, 250012, China. yanglejin@sdu.edu.cn.

Funding

Excellent Youth Innovation Team of Shandong Provincial Higher Education Institutions 2022KJ012Jinan Science and Technology Bureau 202228079National Key Research and Development Program of China 2017YFC0907003National Natural Science Foundation of China 82103912Natural Science Foundation of Shandong Province ZR2020QH302Taishan Scholars Program of Shandong Province tsqn202312328
6 · The paper itself

Abstract

backgroundDepressive disorders have been identified as a significant contributor to non-fatal health loss in China. Among the various subtypes of depressive disorders, dysthymia is gaining attention due to its similarity in clinical severity and disability to major depressive disorders (MDD). However, national epidemiological data on the burden of disease and risk factors of MDD and dysthymia in China are scarce.

methodsThis study aimed to evaluate and compare the incidence, prevalence, and disability-adjusted life-years (DALYs) caused by MDD and dysthymia in China between 1990 and 2019. The temporal trends of the depressive disorder burden were evaluated using the average annual percentage change. The comparative risk assessment framework was used to estimate the proportion of DALYs attributed to risk factors, and a Bayesian age-period-cohort model was applied to project the burden of depressive disorders.

resultsFrom 1990 to 2019, the overall age-standardized estimates of dysthymia in China remained stable, while MDD showed a decreasing trend. Since 2006, the raw prevalence of dysthymia exceeded that of MDD for the first time, and increased alternately with MDD in recent years. Moreover, while the prevalence and burden of MDD decreased in younger age groups, it increased in the aged population. In contrast, the prevalence and burden of dysthymia remained stable across different ages. In females, 11.34% of the DALYs attributable to depressive disorders in 2019 in China were caused by intimate partner violence, which has increasingly become prominent among older women. From 2020 to 2030, the age-standardized incidence, prevalence, and DALYs of dysthymia in China are projected to remain stable, while MDD is expected to continue declining.

conclusionsTo reduce the burden of depressive disorders in China, more attention and targeted strategies are needed for dysthymia. It's also urgent to control potential risk factors like intimate partner violence and develop intervention strategies for older women. These efforts are crucial for improving mental health outcomes in China.

Indexed as

Dysthymic DisorderMajor Depressive DisorderAdolescentAdultAgedBayes TheoremChinaDisability-Adjusted Life YearsFemaleForecastingHumansIncidenceMaleMiddle AgedPrevalenceRisk FactorsDisability-adjusted life yearsDysthymiaMajor depressive disordersRisk factorsTemporal trend

Identifiers

PMID38872130
PMCPMC11170895

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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.