Evidence map›Paper›PMID 37410161›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Association between obesity and common mental disorders in women: a population-based study in Southern Brazil.

Débie Garlet Osmari, Anderson Garcez, Juvenal Soares Dias-da-Costa, Maria Teresa Anselmo Olinto

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Article in Social psychiatry and psychiatric epidemiology, 2024. 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
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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Débie Garlet OsmariPost-Graduate Program in Collective Health, University of Vale do Rio dos Sinos, UNISINOS, São Leopoldo, RS, Brazil.
Anderson GarcezPost-Graduate Program in Nutrition Sciences, Federal University of Health Science of Porto Alegre, UFCSPA, Porto Alegre, RS, Brazil.
Juvenal Soares Dias-da-CostaPost-Graduate Program in Collective Health, University of Vale do Rio dos Sinos, UNISINOS, São Leopoldo, RS, Brazil.
Maria Teresa Anselmo OlintoPost-Graduate Program in Food, Nutrition and Health, Federal University of Rio Grande do Sul, UFRGS, R. Ramiro Barcelos, 2400, Santa Cecília, Porto Alegre, RS, CEP 90035-002, Brazil. mtolinto@gmail.com.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 457235/2014-4
6 · The paper itself

Abstract

purposeThe study aimed to investigate the relationship between obesity and common mental disorders (CMD) among women.

methodsThis is a cross-sectional population-based study with a representative sample of 981 adult women (20-60 years of age) living in the urban area of the municipality of São Leopoldo, RS, Brazil, in 2015. The presence of CMD was assessed using the Self-Reporting Questionnaire (SRQ-20 ≥ 8). Obesity was defined by body mass index (BMI ≥ 30.0 kg/m

resultsThe mean age of the sample was 40.3 years (standard deviation = 11.4 years). The prevalence of CMD was 33.7% (95% CI 30.8-36.7), while obesity was 31.2% (95% CI 28.3-34.1). The occurrence of CMD was higher in women with low levels of education and belonging to lower economic class, as well as smokers and those who were insufficiently active. Obesity was more prevalent in older women (50-60 years old) with less schooling, who did not consume alcohol, and those who were insufficiently active. After adjusting for potential confounding factors, women with obesity were 22% more likely to have CMD when compared to those without obesity (PR = 1.22; 95% CI 1.02-1.45; p = 0.030).

conclusionsThis study demonstrated a significant association between obesity and the presence of CMD among women. Additionally, the prevalence of obesity and CMD were high in this population group.

Indexed as

Body Mass IndexMental DisordersObesityAdultBrazilCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceRisk FactorsSocioeconomic FactorsSurveys and QuestionnairesUrban PopulationYoung AdultCommon mental disordersCross-sectional studyMental disordersObesityWomen’s health

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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.