Evidence map›Paper›PMID 27852710›Full record

ArticleBMJ open2016

Age and gender differential relationship between employment status and body mass index among middle-aged and elderly adults: a cross-sectional study.

Jin-Won Noh, Jinseok Kim, Jumin Park, In-Hwan Oh, Young Dae Kwon

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.4field-weighted citation impact, top 8% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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 5 institutions in 3 countries.

Jin-Won NohDepartment of Healthcare Management, Eulji University, Seongnam, Korea.
Jinseok KimDepartment of Social Welfare, Seoul Women's University, Seoul, Korea.
Jumin ParkNational Institutes of Health Clinical Center, Bethesda, Maryland, USA.
In-Hwan OhDepartment of Preventive Medicine, Kyung Hee University School of Medicine, Seoul, Korea.
Young Dae KwonDepartment of Humanities and Social Medicine, College of Medicine and Catholic Institute for Healthcare Management, the Catholic University of Korea, Seoul, Korea.
Catholic University of Korea · KRKyung Hee University · KRNational Institutes of Health Clinical Center · USSeoul Women's University · KRUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the influence of age and gender, respectively, on the association between employment status and body mass index (BMI) in Korean adults using a large, nationally representative sample.

designCross-sectional study.

settingSouth Korea.

participants7228 from fourth wave of the Korean Longitudinal Study of Aging (KLoSA), the survey's short form and year: 'KLoSA 2012'.

main outcome measuresBMI.

resultsBMI among the employed was higher than among the unemployed for those under 60. In terms of gender, employed men reported higher BMI than their unemployed counterparts, whereas employed women reported lower BMI than did unemployed women.

conclusionsEmployment status showed varying impacts on obesity by age and gender. Both unemployment at or after 60, as well as unemployment among women, is associated with increased BMI compared with unemployment among younger individuals or men, respectively.

Indexed as

Age DistributionBody Mass IndexSex DistributionAgedAlcohol DrinkingCross-Sectional StudiesFemaleHealth SurveysHumansLongitudinal StudiesMaleMiddle AgedRegression AnalysisRepublic of KoreaSmokingSocioeconomic FactorsEPIDEMIOLOGYPUBLIC HEALTHSOCIAL MEDICINE

Identifiers

PMID27852710
PMCPMC5128956
OpenAlexW2552146633

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.