Evidence map›Paper›PMID 24383608›Full record

ArticleSubstance abuse treatment, prevention, and policy2014

Differences between men and women in self-reported body mass index and its relation to drug use.

Pablo Vera-Villarroel, José A Piqueras, Walter Kuhne, Pim Cuijpers, Annemieke van Straten

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

5 citing papers in PubMed, 83 citations in OpenAlex.

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  5. 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

5 authors at 3 institutions in 3 countries.

Pablo Vera-VillarroelSchool of Psychology, Universidad de Santiago de Chile (USACH), Avenida Ecuador 3650, tercer Piso, Estación Central, Santiago de Chile, Chile. pablo.vera@usach.cl.
José A Piqueras
Walter Kuhne
Pim Cuijpers
Annemieke van Straten
Universidad de Santiago de Chile · CLVrije Universiteit Amsterdam · NLUniversitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundObesity is a public health problem of alarming proportions, including among the university population in Latin America. The purpose of this study was to determine the relation between the self-reported body mass index and the associated drug use and health-risk behaviors.

methodsWe performed a cross-sectional, descriptive study of 3,311 Chilean university students (17-24 years). The variables weight, height, frequency of physical activity, diet quality index, and drug use were evaluated by way of a self-report questionnaire.

results16.7% of students were overweight and 2.1% were obese. Higher rates of overweight and obesity were observed in the men compared to women. There was a significant but moderate association between self-perceived obesity and being men and higher age, and just low with greater use of analgesics and tranquilizers with or without a prescription.

conclusionsThe punctual prevalence rates of self-reported obesity, in this sample, are consistent with other Latin American studies. The risk behaviors associated with perceived obesity in terms of gender, particularly the different pattern of drug use, highlight the importance of considering gender when designing strategies to promote health in a university setting.

Indexed as

Body Mass IndexSelf ReportSex CharacteristicsAdolescentAnalgesicsChileCross-Sectional StudiesDrug UsersFemaleHumansMaleObesityOverweightPharmaceutical PreparationsPrescription DrugsPrevalenceAnalgesicsPharmaceutical PreparationsPrescription DrugsTranquilizing Agents

Identifiers

PMID24383608
PMCPMC3880835
OpenAlexW2101569458

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.