Evidence map›Paper›PMID 28862944›Full record

ArticleJournal of the American Heart Association2017

Exposure to Violence and Carotid Artery Intima-Media Thickness in Mexican Women.

Mario H Flores-Torres, Rebekka Lynch, Ruy Lopez-Ridaura, Elsa Yunes, Adriana Monge, Eduardo Ortiz-Panozo, Carlos Cantu-Brito, Arna Hauksdóttir, Unnur Valdimarsdóttir, Martín Lajous

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Sexual Assault and Carotid Plaque Among Midlife Women.Journal of the American Heart Association · 2021
    Article
  4. Article
  5. Article
  6. Review
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

10 authors at 5 institutions in 4 countries.

Mario H Flores-TorresSchool of Medicine, National Autonomous University of Mexico, Mexico City, Mexico.
Rebekka LynchCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Ruy Lopez-RidauraCenter for Research on Population Health, National Institute of Public Health, Mexico City, Mexico.
Elsa YunesCenter for Research on Population Health, National Institute of Public Health, Mexico City, Mexico.
Adriana MongeCenter for Research on Population Health, National Institute of Public Health, Mexico City, Mexico.
Eduardo Ortiz-PanozoCenter for Research on Population Health, National Institute of Public Health, Mexico City, Mexico.
Carlos Cantu-BritoDepartment of Neurology and Psychiatry, National Institute of Nutrition and Medical Sciences, Mexico City, Mexico.
Arna HauksdóttirDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Solna, Sweden.
Unnur ValdimarsdóttirCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Martín LajousCenter for Research on Population Health, National Institute of Public Health, Mexico City, Mexico mlajous@insp.mx.
University of Iceland · ISHarvard Global Health Institute · USKarolinska Institutet · SETecnológico de Monterrey · MXUniversidad Nacional Autónoma de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundViolence against women has become a global public health threat. Data on the potential impact of exposure to violence on cardiovascular disease are scarce. METHODS AND

resultsWe evaluated the association between exposure to violence and subclinical cardiovascular disease in 634 disease-free women from the Mexican Teachers' Cohort who responded to violence-related items from the Life Stressor Checklist and underwent measures of carotid artery intima-media thickness in 2012 and 2013. We defined exposure to violence as having ever been exposed to physical and/or sexual violence. Intima-media thickness was log-transformed, and subclinical carotid atherosclerosis was defined as intima-media thickness ≥0.8 mm or plaque. We used multivariable linear and logistic regression models adjusted for several potential confounders. Mean age was 48.9±4.3 years. Close to 40% of women reported past exposure to violence. The lifetime prevalence of sexual violence was 7.1%, and prevalence of physical violence was 23.5% (7.7% reported both sexual and physical violence). Relative to women with no history of violence, exposure to violence was associated with higher intima-media thickness (adjusted mean percentage difference=2.4%; 95% confidence interval 0.5, 4.3) and subclinical atherosclerosis (adjusted odds ratio=1.60; 95% confidence interval 1.10, 2.32). The association was stronger for exposure to physical violence, especially by mugging or physical assault by a stranger (adjusted mean % difference=4.6%; 95% confidence interval 1.8, 7.5, and odds ratio of subclinical carotid atherosclerosis=2.06; 95% confidence interval 1.22, 3.49).

conclusionsExposure to violence, and in particular assault by a stranger, was strongly associated with subclinical cardiovascular disease in Mexican middle-aged women.

Indexed as

Carotid Intima-Media ThicknessCrime VictimsExposure to ViolencePhysical AbuseSex OffensesWomen's HealthAdultAge FactorsAsymptomatic DiseasesCarotid Artery DiseasesChecklistCross-Sectional StudiesHumansLinear ModelsLogistic ModelsMexicocardiovascular diseasecarotid intima‐media thicknessstressviolencewomen

Identifiers

PMID28862944
PMCPMC5586461
OpenAlexW2746023270

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.