Evidence map›Paper›PMID 41432859›Full record

ArticleAging clinical and experimental research2025

Comparison of novel and traditional anthropometric indices: which is the best indicator of frailty in older adults?

Aijun Song, Siying Yu, Taotao Huang, Jian Shi

Abstract readComparative Study
In one paragraph

Article in Aging clinical and experimental research, 2025. 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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5 · Who and what money

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4 authors.

Aijun Song *Department of Surgery, Jiaozuo People's Hospital, Jiaozuo, 454000, China.
Siying Yu *Department of Cardiology, Fuwai Shenzhen Hospital, Chinese Academy of Medical Sciences, Shenzhen, 518052, China.
Taotao HuangDepartment of Surgery, Jiaozuo People's Hospital, Jiaozuo, 454000, China.
Jian ShiDepartment of Rehabilitation, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430000, China. shijian@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is a critical geriatric syndrome associated with adverse health outcomes and exhibits a complex relationship with obesity. Traditional anthropometrics, such as body mass index (BMI), inadequately assess obesity-related risks in the aging population. Emerging indices better capture visceral adiposity, potentially enhancing frailty prediction. This study evaluates these indices' associations with frailty in older adults.

methodsThis study analyzed existing data collected between 2002 and 2007 as part of the National Health and Nutrition Examination Survey (NHANES). BMI, body roundness index (BRI), a body shape index (ABSI), waist-to-height ratio (WHtR), and waist/height0.5 (WHT·5R) were calculated using waist circumference, weight, and height. We used a modified frailty index (FI) with 36 standardized parameters to quantify the severity of frailty by the cumulative proportion of deficits.

resultsIn the adjusted model, increases in all indices except ABSI were statistically significantly associated with increases in FI (BRI: β(95%CI) = 0.004(0.003, 0.005); BMI: β(95%CI) = 0.001(0.0001, 0.001); ABSI: β(95%CI) = 2.034(1.627, 2.440); WHtR: β(95%CI) = 0.093(0.067, 0.119); WHT·5R: β(95%CI) = 0.007(0.005,0.009)). Bootstrap analysis showed that BRI had a greater impact on FI than BMI (difference = 0.0019), while WHtR and WHT·5R had a stronger impact on FI than BRI (difference = -0.0746 and -0.0027, respectively). The effect of WHtR on FI was significantly higher than that of WHT·5R (difference = 0.0719).

conclusionThis study highlighted that WHtR was more strongly associated with FI than BMI, BRI, and WHT·5R, and highlighted the priority of waist-centered obesity measures in frailty risk assessment and clinical intervention in the elderly.

Indexed as

AnthropometryFrail ElderlyFrailtyAgedAged, 80 and overBody Mass IndexFemaleGeriatric AssessmentHumansMaleMiddle AgedNutrition SurveysObesityWaist CircumferenceAnthropometric indicesFrailtyNHANESObesityOlder adults

Identifiers

PMID41432859
PMCPMC12775087

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