Evidence map›Paper›PMID 37926849›Full record

ArticleBMC public health2023

Secular trends in the incidence of major depressive disorder and dysthymia in China from 1990 to 2019.

Ming Li, Wenlong Gao, Yuqi Zhang, Qiuxia Luo, Yuanyuan Xiang, Kai Bao, Noha Zaki

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ming LiInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Wenlong GaoInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China. gaowl2019@sina.com.
Yuqi ZhangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Qiuxia LuoInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Yuanyuan XiangInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Kai BaoInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Noha ZakiInstitute of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Tianshui Southern Road 222, Lanzhou, Gansu, P. R. China.
Lanzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is increasingly recognized as a worldwide serious, public health concern. A better understanding of depression is important for advancing its management and learning the difference between major depressive disorder (MDD) and dysthymia. Our aim is to conduct a concurrent analysis of the trends of both MDD and dysthymia in China.

methodsThe data on depression from 1990 to 2019 were collected from the Global Burden of Disease Study 2019 (GBD 2019). To determine the average annual percent changes (AAPC) and relative risks (RRs), joinpoint regression and the age-period-cohort models were employed, respectively.

resultsThe incidence number of MDD and dysthymia continuously increased in China from 1990 to 2019, however, the age-standardized rates (ASR) had a decreasing trend in both men and women. The results from joinpoint regression showed that a declining trend was presented in young people (< 50 years) but an increased trend in the elderly (≥ 50 years) both in men and women, during 1990-2019. Age is the most influential factor for MDD and dysthymia. Age RRs for MDD incidence had an overall increasing trend with age. Period RR in MDD presented a U-shaped pattern, while Cohort RRs presented an inverted U-shaped pattern. On the other hand, RRs in dysthymia for period and cohort effects had no statistical significance, only the age effect presented an inverted U-shaped pattern.

conclusionsThe disparities in trends observed between MDD and dysthymia during the period of 1990-2019 indicated the significance of distinguishing between these two disorders. The age, period and cohort effects all had a greater impact on MDD than on dysthymia, and age effects presented different influential patterns in these two. To alleviate the burden of depressive disorders in China, proactive measures need to be implemented, with particular attention to the elderly population.

Indexed as

Major Depressive DisorderAdolescentAgedChinaCohort EffectDysthymic DisorderFemaleHumansIncidenceMaleAge–period–cohort analysisChinaDepressive disordersDysthymiaIncidenceJoinpoint regression

Identifiers

PMID37926849
PMCPMC10626640
OpenAlexW4388398574

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.