Evidence map›Paper›PMID 24387900›Full record

ArticleAtencion primaria2014

[Cohesion and family adaptability in women with epilepsy: cross-sectional study].

José Manuel Ornelas-Aguirre, Oneida Sánchez-Castro

Open access · goldAbstract readEnglish Abstract
In one paragraph

Article in Atencion primaria, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% of its field
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

The trial behind it

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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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

José Manuel Ornelas-AguirreDivisión de Investigación, Hospital de Especialidades N. 2, Unidad Médica de Alta Especialidad, Centro Médico Nacional del Noroeste, Instituto Mexicano del Seguro Social, Ciudad Obregón, Sonora, México; Departamento de Medicina, Universidad de Sonora, Campus Cajéme, Ciudad Obregón, Sonora, México. Electronic address: jmoapat@me.com.
Oneida Sánchez-CastroUnidad de Medicina Familiar N. 1, Instituto Mexicano del Seguro Social, Centro Médico Nacional del Noroeste, Ciudad Obregón, Sonora, México.
Mexican Social Security Institute · MXUniversidad de Sonora · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test the hypothesis that women with epilepsy come from families with poor cohesion and adaptability to the disease, compared with healthy women.

designCross-sectional study.

settingA retrospective study was done on 263 women from a neurology outpatient department and a family medicine unit from the Mexican Social Security Institute in Sonora (Mexico) between 2010 and 2011.

participantsWere 82 women with epilepsy (cases), and 181 healthy women (control group). Age and area of residence was utilized to pair the sample (1:2,2). MEASUREMENTS: Univariate analysis was performed for socio-demographic variables, family type, socio-economic status, level of cohesion and family adaptability based on FACES III. A logistic regression analysis was performed for those variables that were associated with functionality of family in women with and without epilepsy.

resultsA family dysfunction were found in 22% of epileptic women (OR = 2.91 [2.17, 3.89], p=.0001). Univariate analysis suggested the presence of epilepsy and of family dysfunction associated with age, disease more than 15 years of evolution, and family type (rural, urban and traditional). The logistic regression model confirmed an association only for presence of epilepsy (OR = 7.30 [4.00, 13.33], p=.0001).

conclusionThe study answers the hypothesis that women with epilepsy live in families with greater psychosocial impairment, manifested by deficiencies in cohesion and adaptability to the disease, compared with healthy women.

Indexed as

Adaptation, PsychologicalEpilepsyFamily RelationsCross-Sectional StudiesFemaleHumansMiddle AgedRetrospective StudiesEpilepsiaEpilepsyEstigma socialFamiliaresFamily relationsRelaciones familiaresRelativesSocial stigma

Identifiers

PMID24387900
PMCPMC6985647
OpenAlexW1970037794

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.