Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Body composition indices of a load–capacity model

Gender- and BMI-specific reference curves

Bibliographic Data

ID15097043
AuthorsMario Siervo (0000-0001-5515-0944, Newcastle Hospitals - Campus for Ageing and Vitality, corresponding author), Carla M Prado (0000-0002-3609-5641, University of Alberta), Emily Mire, Emily F Mire (0000-0002-3232-5534, Baton Rouge Clinic), Stephanie T Broyle (0000-0003-3168-0056, Baton Rouge Clinic), Stephanie Broyles, J Wells (0000-0003-0411-8025, Institute of Child Health), Jonathan CK Wells, Steven B Heymsfield (0000-0003-1127-9425, Baton Rouge Clinic), Steven Heymsfield, P T Katzmarzyk (0000-0002-9280-6022, Baton Rouge Clinic)
Year2015
Volume18
Issue7
Pages1245-1254
Publication date2015-05-01
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980014001918
PMID25221994
OpenAlexW2060484010
LanguageEN
Citations received1
References cited37

Objective Fat mass (FM) and fat-free mass (FFM) are frequently measured to define body composition phenotypes. The load–capacity model integrates the effects of both FM and FFM to improve disease-risk prediction. We aimed to derive age-, gender- and BMI-specific reference curves of load–capacity model indices in an adult population (≥18 years). Design Cross-sectional study. Dual-energy X-ray absorptiometry was used to measure FM, FFM, appendicular skeletal muscle mass (ASM) and truncal fat mass (TrFM). Two metabolic load–capacity indices were calculated: ratio of FM (kg) to FFM (kg) and ratio of TrFM (kg) to ASM (kg). Age-standardised reference curves, stratified by gender and BMI ( 2 , 25·0–29·9 kg/m 2 , ≥30·0 kg/m 2 ), were constructed using an LMS approach. Percentiles of the reference curves were 5th, 15th, 25th, 50th, 75th, 85th and 95th. Setting Secondary analysis of data from the 1999–2004 National Health and Nutrition Examination Survey (NHANES). Subjects The population included 6580 females and 6656 males. Results The unweighted proportions of obesity in males and females were 25·5 % and 34·7 %, respectively. The average values of both FM:FFM and TrFM:ASM were greater in female and obese subjects. Gender and BMI influenced the shape of the association of age with FM:FFM and TrFM:ASM, as a curvilinear relationship was observed in female and obese subjects. Menopause appeared to modify the steepness of the reference curves of both indices. Conclusions This is a novel risk-stratification approach integrating the effects of high adiposity and low muscle mass which may be particularly useful to identify cases of sarcopenic obesity and improve disease-risk prediction

Anthropometry · Body mass index · Environmental health · National Health and Nutrition Examination Survey · Obesity · Percentile · Population · Sarcopenic obesity · Statistics · Body Composition Measurement Techniques · Demography · Mathematics · Medicine · Nutrition and Health in Aging · Obesity, Physical Activity, Diet · Internal Medicine

  • Diabetes knowledge, health literacy and diabetes self-care among older adults living with diabetes in Alexandria, Egypt

    Open Access•S M Abd-Allah, Soha Magdy Ahmed Abdallah et al.•BMC Public Health•2024

  • Lack of Exercise Is a Major Cause of Chronic Diseases

    Open Access•Frank W Booth, Christian K Roberts et al.•Comprehensive Physiology•2012

  • Waist‐to‐height ratio is a better screening tool than waist circumference and BMI for adult cardiometabolic risk factors

    Open Access•M Ashwell, P Gunn et al.•Obesity Reviews•2012

  • Beyond body mass index

    Open Access•A M Prentice, AM Prentice et al.•Obesity Reviews•2001

  • The thrifty phenotype

    Open Access•J Wells•American Journal of Human Biology•2011

Citations per year0.5
Citation span2024 - 2024 (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