Evidence map›Paper›PMID 21546790›Full record

ArticleJournal of injury & violence research2012

Violence and self-reported health: does individual socioeconomic position matter?

Rocio Winnersjö, Antonio Ponce de Leon, Joaquim F Soares, Gloria Macassa

Abstract read
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Article in Journal of injury & violence research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Priority issues in women's mental health.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2013
    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.

Rocio WinnersjöDepartment of Public Health Sciences, Division of Social Medicine, Karolinska Institute, SE-17176 Sweden.
Antonio Ponce de Leon
Joaquim F Soares
Gloria Macassa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence is a major public health problem. Both clinical and population based studies shows that violence against men and women has physical and psychological health consequences. However, elsewhere and in Sweden little is known of the effect of individual socioeconomic position (SEP) on the relation between violence and health outcomes.

objectiveThis study aimed to assess the effect of individual SEP on the relation between violence and three health outcomes (general health, pain and anxiety) among women in Stockholm County.

methodsThe study used data from the Stockholm Public Health Survey, a cross-sectional survey carried out in 2006 for the Stockholm County Council by Statistic Sweden. 34 704 respondents answered the survey, the response rate was sixth one percent. Analyses were carried out using descriptive statistics and logistic regression analysis in SPSS v.17.0.

resultsIndividual SEP increased the odds of reporting poor health outcomes among victimized women in Stockholm County. Regarding self-reported health women in low-SEP who reported victimization in the past twelve months had odds of 2,36 (95% CI 1.48-3.77) for the age group 18-29 years and 3.78 (95% CI 2.53-5.64) for the age group 30-44 years compared with women in high-SEP and non-victim. For pain the odds was 2,41 (95% CI 1,56-3,73) for the age group 18-29 years and 2,98 (95% CI 1,99-4,46) for women aged 30-44 years. Regarding anxiety the age group 18-29 years had odds of 2,53 (95% CI 1,58-4,03) and for the age group 30-44 years had odds of 3,87 (95% CI 2,55-5,87).

conclusionResults showed that individual SEP (measured by occupation) matters to the relationship between violence and health outcomes such as general self-reported health, pain and anxiety. Women in lower SEP and experienced victimization in the past twelve months had increased odds of reporting poorer self-rated health, pain and anxiety compared to those in higher SEP with no experience of victimization. However, further exploration of the relationship between poverty, individual SEP is needed using other Swedish population samples.

Indexed as

Health StatusSocial ClassAdolescentAdultAnxietyCross-Sectional StudiesFemaleHealth SurveysHumansMaleOccupationsPainRegression AnalysisSelf ReportSwedenViolence

Identifiers

PMID21546790
PMCPMC3426906

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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.