Evidence map›Paper›PMID 36733872›Full record

ArticleFrontiers in psychology2022

Long-term trends in the incidence of depressive disorders in China, the United States, India and globally: A comparative study from 1990 to 2019.

Shuwen Wang, Tianhuan Lu, Jinyi Sun, Lihong Huang, Ruiqing Li, Tong Wang, Chuanhua Yu

Abstract read
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Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Shuwen WangSchool of Public Health, Wuhan University, Wuhan, China.
Tianhuan LuSchool of Public Health, Wuhan University, Wuhan, China.
Jinyi SunSchool of Public Health, Wuhan University, Wuhan, China.
Lihong HuangSchool of Public Health, Wuhan University, Wuhan, China.
Ruiqing LiSchool of Public Health, Wuhan University, Wuhan, China.
Tong WangSchool of Public Health, Wuhan University, Wuhan, China.
Chuanhua YuSchool of Public Health, Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depressive disorders have become an increasingly significant public health issue. This study is intended to show the trend of the incidence of depressive disorders in China, the United States, India and the world from 1990 to 2019, as well as the impact of age, period and cohort on it. Methods: Extracting incidence data from the Global Burden of Disease Study 2019, we determined trends in the age-standardized incidence rate (ASIR) using Joinpoint regression. An age-period-cohort analysis was implemented to describe the effects of age, period, and cohort, as well as the long-term tendencies. Results: From 1990 to 2019, the ASIR of depressive disorders in China was lower than that in the United States; India is lower than the United States in the first 5 years, showing a downward trend. The incidence in India and the United States is higher than the global average. The ASIR of women in the three countries is higher than that of men. In China, the elderly, early period and people born around 1954 have a higher risk of depressive disorders. In the United States, young people born around 1999 have a higher risk of depressive disorders. India is similar to China. Conclusion: From 1990 to 2019, the age effect of China as a whole increased, and the period became stable, and the cohort effect declined. The overall age and period effects of the United States reduced, while the cohort effect increased. The age effect in India increased, while the period and cohort effects decreased. Depressive disorders are becoming ever more serious worldwide, and we'd better take measures to reduce its incidence according to the cohort effect of each age group.

Indexed as

age-period-cohort analysisdepressive disordersincidenceJoinpoint regressiontrends

Identifiers

PMID36733872
PMCPMC9888314

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