Evidence map›Paper›PMID 28615769›Full record

ArticleIndian journal of psychological medicine

Gender, Life Events, and Depression: An Exploratory Study.

Subahani Shaik, Ravi Philip Rajkumar, Vikas Menon, Siddharth Sarkar

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of psychological medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Sex, Gender, and Suicidal Behavior.Current topics in behavioral neurosciences · 2020
    Article
  3. Article
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

4 authors at 3 institutions in 1 country.

Subahani ShaikDepartment of Psychiatry, Narayana Medical College, Nellore, Andhra Pradesh, India.
Ravi Philip RajkumarDepartment of Psychiatry, JIPMER, Puducherry, India.
Vikas MenonDepartment of Psychiatry, JIPMER, Puducherry, India.
Siddharth SarkarDepartment of Psychiatry, National Drug Dependence Treatment Centre, All India Institute of Medical Sciences, New Delhi, India.
Jawaharlal Institute of Post Graduate Medical Education and Research · INAll India Institute of Medical Sciences · INNarayana Dental College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextLiterature is inconsistent about the role of gender in mediating the relationship between life events and depression.

aimOur objective was to explore gender differences in patterns and frequencies of stressful life events before onset of a depressive episode. SETTING AND

designCross-sectional study at a tertiary care center. SUBJECTS AND

methodsOne hundred patients fulfilling Diagnostic and Statistical Manual of Mental Disorders fourth edition criteria for current major depression (50 males and 50 females) were recruited for the study. Structured instruments were used to assess psychiatric comorbidity, episode severity, and stressful life events. We compared the number and frequency of stressful life events between genders and their relationship with demographic and clinical variables. STATISTICAL ANALYSIS USED: Mann-Whitney U-test and Chi-square test.

resultsWomen with depression were older, more likely to be married (

conclusionThere appears to be a sex-specific effect of certain life events on depression. Comorbid dysthymia may play an important role in mediating this differential stress sensitivity across genders.

Indexed as

Depressiondysthymiagenderlife eventspsychiatrystress

Identifiers

PMID28615769
PMCPMC5461845
OpenAlexW2618199967

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.