Evidence map›Paper›PMID 42102061›Full record

ArticlePloS one2026

Gender-specific sociodemographic and lifestyle factors associated with frailty status among Korean older adults.

Subeen Kim, Haerang Lee, Nayeon Park, Eunseo Choi, Minji Kang

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Subeen KimDepartment of Food and Nutrition, Duksung Women's University, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0002-2731-0351
Haerang LeeBNK Economic Research Institute, BNK Financial Group, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-1430-223X
Nayeon ParkDepartment of Food and Nutrition, Duksung Women's University, Seoul, Republic of Korea.
Eunseo ChoiDepartment of Food and Nutrition, Duksung Women's University, Seoul, Republic of Korea.
Minji KangDepartment of Food and Nutrition, Duksung Women's University, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2930-4780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify gender-specific sociodemographic and lifestyle factors associated with frailty among Korean older adults. We conducted a cross-sectional analysis using data from the 2014-2019 Korean National Health and Nutrition Examination Survey, including 6,556 participants aged 65 years and older. Frailty was defined by the Fried phenotype. Multivariable logistic regression models were used to examine gender-specific associations between frailty and sociodemographic factors (age, education, marital status, household income, household type, and body mass index) as well as lifestyle factors (smoking, alcohol consumption, meals with family in the past year, energy intake, number of chronic diseases, and self-rated health status), with mutual adjustment for all listed covariates in a single fully adjusted model. The prevalence of frailty was 20.6% in women and 11.5% in men. Among women, current smoking [odds ratio (95% confidence interval), 2.22 (1.16-4.26)] and sharing meals with family in the morning [1.42 (1.05-1.93)] were associated with an increased risk of frailty. For men, high household income [0.51 (0.27-0.99)] and higher energy intake [>2,120 kcal; 0.49 (0.34-0.71)] were associated with a reduced risk of frailty. In both men and women, multiple chronic diseases and poor self-rated health were significantly associated with an increased risk of frailty. Frailty was associated with various sociodemographic and lifestyle characteristics in both men and women. The associations with several factors, such as smoking, meal patterns, and household income, differed by gender. This study highlights distinct gender-specific predictors of frailty among older Korean adults, emphasizing the need for tailored and integrated public health prevention strategies.

Indexed as

Frail ElderlyFrailtyLife StyleAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsSex FactorsSociodemographic FactorsSocioeconomic Factors

Identifiers

PMID42102061
PMCPMC13155571

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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.