Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Comparison of different measures of obesity in their association with health-related quality of life in older adults – results from the Kora-Age study

Bibliographic Data

ID15096929
AuthorsAnna Riedl (Helmholtz Zentrum München), Susanne Vogt (0009-0007-8901-6613, Helmholtz Zentrum München), Rolf Holle (0000-0001-5395-2695, Helmholtz Zentrum München), Tonia de las Heras Gala (Helmholtz Zentrum München), Michael Laxy (0000-0001-8775-7417, Helmholtz Zentrum München), Annette Peters (0000-0001-6645-0985, Helmholtz Zentrum München), Barbara Thorand (0000-0002-8416-6440, Helmholtz Zentrum München, corresponding author)
Year2016
Volume19
Issue18
Pages3276-3286
Publication date2016-12-01
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980016001270
PMID27337156
OpenAlexW2461155179
LanguageEN
Citations received1
References cited48

Objective As ageing is associated with changes in body composition, BMI may not be the appropriate obesity measure for older adults. To date, little is known about associations between obesity measures and health-related quality of life (HRQoL). Thus, we aimed to compare different obesity measures in their association with HRQoL and self-rated physical constitution (SRPC) in older adults. Design Seven obesity measures (BMI, waist circumference (WC), waist-to-hip ratio, waist-to-height ratio, fat mass percentage based on bioelectrical impedance analysis, hypertriglyceridaemic waist (HTGW) and sarcopenic obesity) were assessed at baseline in 2009. HRQoL, using the EQ-5D questionnaire, and SRPC, using one single question, were collected at baseline and at the 3-year follow-up in 2012. Linear and logistic regression analyses were used to examine the associations between the obesity measures and both outcomes. Model comparisons were conducted by area under the receiver-operating characteristic curve, R 2 , Akaike and Schwarz Bayesian information criteria. Setting KORA-Age study in Southern Germany (2009–2012). Subjects Older adults ( n 883; aged ≥65 years). Results Nearly all obesity measures were significantly inversely associated with both outcomes in cross-sectional analyses. Concerning HRQoL, the WC model explained most of the variance and had the best model adaption, followed by the BMI model. Regarding SRPC, the HTGW and BMI models were best as rated by model quality criteria, followed closely by the WC model. Longitudinal analyses showed no significant associations. Conclusions These results suggest that, with regard to HRQoL/SRPC, simple anthropometric measures are sufficient to determine obesity in older adults in medical practice

Abdominal obesity · Anthropometry · Bioelectrical impedance analysis · Body mass index · Logistic regression · Obesity · Physical therapy · Quality of life (healthcare · Sarcopenic obesity · Waist · Body Composition Measurement Techniques · Demography · Medicine · Nutrition and Health in Aging · Obesity, Physical Activity, Diet · Gerontology · Internal Medicine

  • Body composition and changes in health-related quality of life in older age

    Open Access•Tuija M Mikkola, Hannu Kautiainen et al.•Quality of Life Research•2020

  • The physical activity scale for the elderly (Pase)

    Open Access•Richard A Washburn, Kevin Smith et al.•Journal of Clinical Epidemiology•1993

  • Indices of abdominal obesity are better discriminators of cardiovascular risk factors than BMI

    Open Access•Crystal Man Ying Lee, Rachel R Huxley et al.•Journal of Clinical Epidemiology•2008

  • Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013

    Open Access•Marie Ng, Tom Fleming et al.•The Lancet•2014

  • Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population

    Open Access•Maudrene LS Tan, Maudrene L S Tan et al.•Quality of Life Research•2012

Citations per year0.17
Citation span2020 - 2020 (1)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae