Evidence map›Paper›PMID 38725017›Full record

ArticleBMC public health2024

The long-term changing patterns of suicide mortality in China from 1987 to 2020: continuing urban-rural disparity.

Yu Wu, Binbin Su, Panliang Zhong, Yiran Wang, Yueqin Huang, Xiaoying Zheng

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

6 authors.

Yu Wu *Department of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 31, Road 3rd, Bei-Ji-Ge, Dongcheng District, Beijing, 100730, China.
Binbin Su *Department of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 31, Road 3rd, Bei-Ji-Ge, Dongcheng District, Beijing, 100730, China.
Panliang Zhong *Department of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 31, Road 3rd, Bei-Ji-Ge, Dongcheng District, Beijing, 100730, China.
Yiran WangAPEC Health Science Academy (HeSAY), Peking University, Beijing, China.
Yueqin HuangNHC Key Laboratory of Mental Health (Peking University), Peking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. huangyq@bjmu.edu.cn.
Xiaoying ZhengDepartment of Population Health and Aging Science, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, No. 31, Road 3rd, Bei-Ji-Ge, Dongcheng District, Beijing, 100730, China. zhengxiaoying@sph.pumc.edu.cn.

Funding

the National Key Research and Development Program of China SQ2022YFC3600291the National Social Science Foundation of China 21ZDA107
6 · The paper itself

Abstract

backgroundOver the past three decades, China has experienced significant changes in urban-rural, gender, and age-specific suicide mortality patterns. This study aimed to investigate the long-term trends in suicide mortality in China from 1987 to 2020.

methodsSuicide mortality data were obtained from China's National Health Commission. Joinpoint regression analysis was used to examine changes in trends and age-period-cohort modeling to estimate age, period, and cohort effects on suicide mortality from 1987 to 2020. Net drift, local drift, longitudinal age curves, and period relative risks were also calculated.

resultsCrude and age-standardized suicide mortality in China showed continuing downward trends from 1987 to 2020, with a more pronounced decrease in rural areas (net drift = -7.07%, p<0.01) compared to urban areas (net drift = -3.41%, p<0.01). The decline curve of urban areas could be divided into three substages. Period and cohort effects were more prominent in rural areas. Suicide risk was highest among individuals aged 20-24 and gradually increased after age 60. Females, particularly those of childbearing age, had higher suicide risk than males, with a reversal observed after age 50. This gender reversal showed distinct patterns in urban and rural areas, with a widening gap in urban areas and a relatively stable gap in rural areas.

conclusionsSuicide mortality in China has consistently declined over the past three decades. However, disparities in age, gender, and urban-rural settings persist, with new patterns emerging. Targeted suicide prevention programs are urgently needed for high-risk groups, including females of childbearing age and the elderly, and to address the slower decrease and reversing urban-rural gender trends.

Indexed as

Rural PopulationSuicideUrban PopulationAdolescentAdultAgedChinaFemaleHealth Status DisparitiesHumansMaleMiddle AgedMortalityYoung AdultAge disparityChinaGender reversalMortalitySuicideUrban-rural disparity

Identifiers

PMID38725017
PMCPMC11083847

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LicenceCC BY
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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.