Evidence map›Paper›PMID 29288171›Full record

ArticleBMJ open2017

Gender-specific interactions between education and income in relation to obesity: a cross-sectional analysis of the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V).

Woojin Chung, Seung-Ji Lim, Sunmi Lee, Roeul Kim, Jaeyeun Kim

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Trial
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  7. Classification of Deprivation Indices That Applied to Detect Health Inequality: A Scoping Review.International journal of environmental research and public health · 2022
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  8. Review
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  12. The Intersectionality of Gender and Wealth in Adolescent Health and Behavioral Outcomes in Brazil: The 1993 Pelotas Birth Cohort.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020
    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.

Woojin ChungDepartment of Health Policy, Graduate School of Public Health, Yonsei University, Seoul, Republic of Korea.
Seung-Ji LimHealth Insurance Policy Research Institute, National Health Insurance Service, Wonju, Republic of Korea.
Sunmi LeeHealth Insurance Policy Research Institute, National Health Insurance Service, Wonju, Republic of Korea.
Roeul KimLabor Welfare Research Institute, Korea Worker's Compensation and Welfare Service, Seoul, Republic of Korea.
Jaeyeun KimHealth Insurance Policy Research Institute, National Health Insurance Service, Wonju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo identify gender-specific associations between education and income in relation to obesity in developed countries by considering both the interaction-effect terms of the independent variables and their main-effect terms.

designA cross-sectional study. Education and income levels were chosen as socioeconomic status indicators. Sociodemographics, lifestyles and medical conditions were used as covariates in multivariable logistic regression models. Adjusted ORs and predicted probabilities of being obese were computed and adjusted for a complex survey design.

settingData were obtained from the Fifth Korea National Health and Nutrition Examination Survey (2010-2012).

participantsThe sample included 7337 male and 9908 female participants aged ≥19 years. OUTCOME MEASURE: Obesity was defined as body mass index of ≥25, according to a guideline for Asians.

resultsIn models with no interaction-effect terms of independent variables, education was significantly associated with obesity in both men and women, but income was significant only in women. However, in models with the interaction-effect terms, education was significant only in women, but income was significant only in men. The interaction effect between income and education was significant in men but not in women. Participants having the highest predicted probability of being obese over educational and income levels differed between the two types of models, and between men and women. A prediction using the models with the interaction-effect terms demonstrated that for all men, the highest level of formal education was associated with an increase in their probability of being obese by as much as 26%.

conclusionsThe well-known, negative association between socioeconomic status and obesity in developed countries may not be valid when interaction effects are included. Ignoring these effects and their gender differences may result in the targeting of wrong populations for reducing obesity prevalence and its resultant socioeconomic gradients.

Indexed as

Educational StatusSex FactorsSocial ClassAdultAgedBody Mass IndexCross-Sectional StudiesDeveloped CountriesFemaleHumansIncomeLogistic ModelsMaleMiddle AgedMultivariate AnalysisNutrition Surveyseducationgenderincomeobesitysouth korea

Identifiers

PMID29288171
PMCPMC5770831

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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.