ArticleAmerican journal of physical anthropology2018
Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.
Article in American journal of physical anthropology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 65 citations in OpenAlex.
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- Body composition and osteoporotic fracture using anthropometric prediction equations to assess muscle and fat masses.Journal of cachexia, sarcopenia and muscle · 2021Article
- Muscle force interacts with stature to influence functionally related polar second moments of area in the lower limb among adult women.American journal of physical anthropology · 2020Article
- Ancient origins of low lean mass among South Asians and implications for modern type 2 diabetes susceptibility.Scientific reports · 2019Article
- The Association of Body Size, Shape and Composition with Vertebral Size in Midlife - The Northern Finland Birth Cohort 1966 Study.Scientific reports · 2019Article
- Predictors of Discordance in the Assessment of Skeletal Muscle Mass between Computed Tomography and Bioimpedance Analysis.Journal of clinical medicine · 2019Article
- Estimating body mass and composition from proximal femur dimensions using dual energy x-ray absorptiometry.Archaeological and anthropological sciences · 2019Article
- Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.American journal of physical anthropology · 2018Article
- Associations of abdominal adiposity, lean body mass, and fat body mass with dementia and cognitive change in older age.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 4 countries.
Funding
Abstract
objectivesEstimating body mass from skeletal dimensions is widely practiced, but methods for estimating its components (lean and fat mass) are poorly developed. The ability to estimate these characteristics would offer new insights into the evolution of body composition and its variation relative to past and present health. This study investigates the potential of long bone cross-sectional properties as predictors of body, lean, and fat mass. MATERIALS AND
methodsHumerus, femur and tibia midshaft cross-sectional properties were measured by peripheral quantitative computed tomography in sample of young adult women (n = 105) characterized by a range of activity levels. Body composition was estimated from bioimpedance analysis.
resultsLean mass correlated most strongly with both upper and lower limb bone properties (r values up to 0.74), while fat mass showed weak correlations (r ≤ 0.29). Estimation equations generated from tibial midshaft properties indicated that lean mass could be estimated relatively reliably, with some improvement using logged data and including bone length in the models (minimum standard error of estimate = 8.9%). Body mass prediction was less reliable and fat mass only poorly predicted (standard errors of estimate ≥11.9% and >33%, respectively). DISCUSSION: Lean mass can be predicted more reliably than body mass from limb bone cross-sectional properties. The results highlight the potential for studying evolutionary trends in lean mass from skeletal remains, and have implications for understanding the relationship between bone morphology and body mass or composition.
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