Evidence map›Paper›PMID 28247856›Full record

ArticleRevista espanola de salud publica2017

[Relationship between Working Schedule and Sleeping Hours with Overweight and Obesity in Spanish Adult Population According to Data from the National Health Survey 2012].

María Marqueta de Salas, Lorena Rodríguez Gómez, Diego Enjuto Martínez, José Juan Juárez Soto, José Javier Martín-Ramiro

Abstract read
In one paragraph

Article in Revista espanola de salud publica, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

María Marqueta de SalasHospital Universitario Severo Ochoa. Leganés. Madrid. España.
Lorena Rodríguez GómezHospital Universitario Severo Ochoa. Leganés. Madrid. España.
Diego Enjuto MartínezHospital Universitario Severo Ochoa. Leganés. Madrid. España.
José Juan Juárez SotoFundación San Pablo CEU Andalucía. Sevilla. España.
José Javier Martín-RamiroHospital Universitario Severo Ochoa. Leganés. Madrid. España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveObesity is a public health problem worldwide. The aim of the present study was to determine the association between the type of working schedule and the sleeping hours per day with obesity and overweight.

methodsCross-sectional study of the National Health Survey in 2012. We conducted an analysis of multinomial logistic regression and estimated the rates of possible risk of obesity and overweight versus the normal weight in relation to the type of working schedule and sleeping hours.

resultsObesity among those who worked at night was 17,50% and those who had irregular works was 17,92%. Overweight among those who performed part-time works was 40,81% and 39,17% in night works. The obesity and overweight among those who slept less than six hours a day were 24,42% and 40,99% respectively. Regression analysis logistic showed OR=1,83 (IC95% 1,15-1,75) in irregular works and OR= 1,83 (IC95% 1,59-2,11) in people who slept less than six hours.

conclusionsWhenever overweight and obesity are present, a positive association between irregular jobs and short patterns of rest has been found, but stadistical significance is lost when estimating the OR adjusting the confounding factors.

Indexed as

Work Schedule ToleranceAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHealth SurveysHumansLogistic ModelsMaleMiddle AgedObesityOverweightRisk FactorsSleep DeprivationBody mass indexHealth SurveysLogistic RegressionObesityOccupational HealthOccupationsOverweightShift-Work Sleep DisordersSleep Disorders, Circadian RhythmSpainWork Schedule Tolerance

Identifiers

PMID28247856
PMCPMC11587387

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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.