Evidence map›Paper›PMID 28249203›Full record

ArticlePsychiatry research2017

Gender differences among medically serious suicide attempters aged 15-54 years in rural China.

Long Sun, Jie Zhang

Abstract read
In one paragraph

Article in Psychiatry research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Risk Assessment on Suicide Death and Attempt among Chinese Rural Youths Aged 15-34 Years.International journal of environmental research and public health · 2021
    Article
  5. Article
  6. Article
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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

2 authors.

Long SunCenter for Suicide Prevention Research, School of Public Health, Shandong University, China.
Jie ZhangCenter for Suicide Prevention Research, School of Public Health, Shandong University, China; State University of New York Buffalo State, Buffalo, NY, USA. Electronic address: zhangj@buffalostate.edu.

Funding

Culture, Risk Factors and Suicide Attempt in Rural ChinaR01MH068560 · NIMH · RESEARCH FOUNDATION OF SUNY AT BUFFALO STATE COLLEGE · PI ZHANG, JIE · 2005 to 2013
$2.0M
NIMH NIH HHS R01 MH068560
6 · The paper itself

Abstract

China is one of few countries which reported higher female suicide rates in the worldwide. However, little is known about the gender differences among Chinese rural suicide attempters. This study aims to analyze the gender differences among medically serious suicide attempters aged 15-54 years in rural China. Subjects were 791 medically serious suicide attempters and 791 controls aged 15-54 years in rural China. Socio-demographic, psychological and some critical variables were assessed in the interview. The results showed that all of the factors (education years, family suicide history, negative life events, social support, impulsivity and mental disorder) associated with male suicide attempters also could be found for females. Physical disease, mental disorder and pesticide ingestion played more roles on male suicide attempters. Ever married, peasant, religious belief, and less social support played more roles on female suicide attempters. Compared with male suicide attempters, female ones are mainly influenced by social factors. A gender-specific approach should be emphasized in suicide prevention.

Indexed as

Sex FactorsAdolescentAdultAsian PeopleChinaEducational StatusFemaleHumansImpulsive BehaviorLife Change EventsMaleMental DisordersMiddle AgedRural PopulationSocioeconomic FactorsSuicide, AttemptedGenderRural ChinaSuicide attemptYouth

Identifiers

PMID28249203
PMCPMC5438887

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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.