Evidence map›Paper›PMID 39054626›Full record

ArticleEpidemiology and health2024

Comparative analysis of body mass index and obesity-related anthropometric indices for mortality prediction: a study of the Namwon and Dong-gu cohort in Korea.

Ye Rim Kim, Min-Ho Shin, Young-Hoon Lee, Seong-Woo Choi, Hae-Sung Nam, Jeong-Ho Yang, Sun-Seog Kweon

Abstract readComparative Study
In one paragraph

Article in Epidemiology and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ye Rim KimInterdisciplinary Program of Public Health, Chonnam National University, Hwasun, Korea.
Min-Ho ShinDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.
Young-Hoon LeeDepartment of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University College of Medicine, Iksan, Korea.
Seong-Woo ChoiDepartment of Preventive Medicine, Chosun University College of Medicine, Gwangju, Korea.
Hae-Sung NamDepartment of Preventive Medicine, Chungnam National University College of Medicine, Daejeon, Korea.
Jeong-Ho YangDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.
Sun-Seog KweonDepartment of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated the associations between several obesity-related anthropometric indices and mortality in middle-aged and elderly populations to compare the indices' predictive ability with that of the body mass index (BMI).

methodsWe analyzed data on 12 indices calculated from 19,805 community-based cohort participants (average age, 63.27 years; median follow-up, 13.49 years). Each index was calculated using directly measured values of height, weight, waist circumference (WC), and hip circumference (HC). We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for each index using Cox regression and evaluated mortality prediction with the Harrell concordance index (c-index).

resultsAdding anthropometric indices to the basic mortality model (c-index, 0.7723; 95% CI, 0.7647 to 0.7799) significantly increased the predictive power of BMI (c-index, 0.7735; 95% CI, 0.7659 to 0.7811), a body shape index (ABSI; c-index, 0.7735; 95% CI, 0.7659 to 0.7810), weight-adjusted waist index (WWI; c-index, 0.7731; 95% CI, 0.7656 to 0.7807), and waist to hip index (WHI; c-index, 0.7733; 95% CI, 0.7657 to 0.7809). The differences between the BMI model and the other 3 models were not statistically significant.

conclusionsIn predicting all-cause mortality, the ABSI, WWI, and WHI models based on WC or HC had stronger predictive power than conventional risk factors but were not significantly different from the BMI model.

Indexed as

Body Mass IndexObesityAgedAnthropometryCohort StudiesFemaleHumansMaleMiddle AgedMortalityPredictive Value of TestsRepublic of KoreaWaist CircumferenceMortalityObesityWeights and measures

Identifiers

PMID39054626
PMCPMC11576528

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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.