Evidence map›Paper›PMID 38804013›Full record

ArticleJournal of Korean medical science2024

Exploring Disparities for Obesity in Korea Using Hierarchical Age-Period-Cohort Analysis With Cross-Classified Random Effect Models.

Chang Kyun Choi, Jung-Ho Yang, Sun-Seog Kweon, Min-Ho Shin

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Chang Kyun ChoiDivision of Cancer Early Detection, National Cancer Control Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-8257-3114
Jung-Ho YangCardio-Cerebrovascular Center, Chonnam National University Hospital, Gwangju, Korea.ORCID https://orcid.org/0000-0002-1581-8425
Sun-Seog KweonDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.ORCID https://orcid.org/0000-0003-2378-8550
Min-Ho ShinDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea. mhshinx@naver.com.ORCID https://orcid.org/0000-0002-2217-5624

Funding

Korea Disease Control and Prevention Agency
6 · The paper itself

Abstract

backgroundThis research article investigates the age, period, and birth cohort effects on prevalence of obesity in the Korean population, with the goal of identifying key factors to inform effective public health strategies.

methodsWe analyzed data from the Korea National Health and Nutrition Examination Survey, spanning 2007-2021, including 35,736 men and 46,756 women. Using the hierarchical age-period-cohort (APC) analysis with cross-classified random effects modeling, we applied multivariable mixed logistic regression to estimate the marginal prevalence of obesity across age, period, and birth cohort, while assessing the interaction between APC and lifestyle and socioeconomic factors.

resultsOur findings reveal an inverted U-shaped age effect on obesity, influenced by smoking history (

conclusionThese findings highlight growing disparities in obesity within birth cohorts, underscoring the need for targeted health policies that promote smoking cessation and physical activity, especially in rural areas.

Indexed as

Nutrition SurveysObesityAdultAgedAge FactorsCohort StudiesExerciseFemaleHumansLife StyleLogistic ModelsMaleMiddle AgedPrevalenceRepublic of KoreaSmokingCohort EffectHealth SurveysObesity

Identifiers

PMID38804013
PMCPMC11136680

What OpenQuestion holds

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Registered trials

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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.