ArticlePublic health nutrition2015
Body composition indices of a load-capacity model: gender- and BMI-specific reference curves.
Article in Public health nutrition, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Body Composition and Prostate Cancer Risk: A Systematic Review of Observational Studies.Advances in nutrition (Bethesda, Md.) · 2022Pooled it
- Body composition, geography and ethnicity: understanding the associations with health.European journal of clinical nutrition · 2026Review
- Load-capacity index and cardiometabolic risk: a longitudinal meta-analysis.Acta diabetologica · 2026Review
- Capturing metabolic syndrome: new thresholds for insulin resistance and novel body composition indices.International journal of obesity (2005) · 2026Article
- Mechanical Load-Capacity Models for Bone in Youth - Analysis of Risk Signatures.Journal of musculoskeletal & neuronal interactions · 2026Article
- Obesity and low lean mass are associated with dysregulated IGFBP-3, inflammatory biomarkers, and physical impairment in older adult women with frailty.Frontiers in aging · 2026Article
- Research Progress on the Association Between Sarcopenic Obesity and Atherosclerosis: Current Status and Challenges.Journal of clinical medicine · 2025Review
- Smartphone addiction and musculoskeletal associated disorders in university students: biomechanical measures and questionnaire survey analysis.European journal of medical research · 2025Article
- Growth and physical development of children at apparent risk of sarcopenia.Pediatric research · 2025Article
- Fat-Free Mass: Friend or Foe to Metabolic Health?Journal of cachexia, sarcopenia and muscle · 2025Review
- Ratio of fat-free mass to fat mass is associated with physical performance in patients with type 2 diabetes mellitus.Frontiers in endocrinology · 2025Article
- Diabetes knowledge, health literacy and diabetes self-care among older adults living with diabetes in Alexandria, Egypt.BMC public health · 2024Article
- Identifying Malnutrition Risk in the Elderly: A Single- and Multi-Parameter Approach.Nutrients · 2024Article
- Sarcopenic obesity in older adults: a clinical overview.Nature reviews. Endocrinology · 2024Review
- Circulating microRNAs and hepcidin as predictors of iron homeostasis and anemia among school children: a biochemical and cross-sectional survey analysis.European journal of medical research · 2023Article
- Hand grip strength, vitamin D status, and diets as predictors of bone health in 6-12 years old school children.BMC musculoskeletal disorders · 2023Observational
- Association of Motoric Cognitive Risk Syndrome with Sarcopenia and Systemic Inflammation in Pre-Frail Older Adults.Brain sciences · 2023Article
- Sarcopenic obesity is associated with telomere shortening: findings from the NHANES 1999-2002.International journal of obesity (2005) · 2022Article
- Artificial intelligence and abdominal adipose tissue analysis: a literature review.Quantitative imaging in medicine and surgery · 2021Review
- Different body parts' fat mass and corrected QT interval on the electrocardiogram: The Fasa PERSIAN Cohort Study.BMC cardiovascular disorders · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveFat 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).
designCross-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 (<25.0 kg/m2, 25.0-29.9 kg/m2, ≥30.0 kg/m2), were constructed using an LMS approach. Percentiles of the reference curves were 5th, 15th, 25th, 50th, 75th, 85th and 95th.
settingSecondary analysis of data from the 1999-2004 National Health and Nutrition Examination Survey (NHANES). SUBJECTS: The population included 6580 females and 6656 males.
resultsThe 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.
conclusionsThis 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.
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