Evidence map›Paper›PMID 42209728›Full record

ArticleScientific reports2026

Body weight variability and mortality in older adults: a nationwide population-based cohort study.

Ji Yeon Seo, Yoo Min Han, Heesun Lee, Ju-Yeong Park, Ji Min Choi, Kyung-Do Han

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ji Yeon SeoDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yoo Min HanDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Heesun LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ju-Yeong ParkDepartment of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea.
Ji Min Choi *Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. 65846@snuh.org.
Kyung-Do Han *Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea. hkd@ssu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although body weight variability has been linked to adverse outcomes, its relationship with mortality in older adults remains unclear. We investigated the association between body weight variability and mortality in older adults using a nationwide cohort from the Korean National Health Insurance Service. Adults aged ≥ 75 years who underwent health checkups between 2012 and 2015 were followed until 2022. Body weight variability was assessed using the variability independent of the mean (VIM) based on at least four measurements. Participants were classified by VIM quartiles and weight-change categories. Mortality risks were estimated using multivariable Cox proportional hazards models. Among 616,696 participants, 195,585 deaths occurred during follow-up. Higher VIM was associated with increased all-cause mortality (adjusted HR for highest vs. lowest quartile, 1.62; 95% CI, 1.60-1.64) in a clear dose-response manner (P for trend < 0.001). This association was consistent across subgroups. High VIM was associated with increased mortality regardless of the direction of weight change. Higher VIM was independently associated with an increased risk of all-cause and cause-specific mortality among older adults. Body weight variability itself, rather than the direction of weight change, may serve as a relevant prognostic marker in this population. Further studies are needed to clarify the clinical implications of body weight variability in older adults.

Indexed as

Body WeightMortalityAgedAged, 80 and overBody Mass IndexCohort StudiesFemaleHumansMaleProportional Hazards ModelsRepublic of KoreaRisk FactorsAgedBody weight changesCohort studiesMortality

Identifiers

PMID42209728
PMCPMC13447940

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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.