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Beyond aggregate volume-Accelerometer-derived activity phenotypes reveal a decoupling of lean mass and function: A cross-sectional study.
Article in Science progress. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
ObjectiveLean mass preservation does not guarantee sustained muscle strength in aging populations. Aggregate physical activity metrics obscure temporal movement patterns and fail to explain this mass-function dissociation. Unsupervised machine learning is required to identify multidimensional activity phenotypes and clarify their specific neuromuscular impacts. This study examined the associations of accelerometer-derived activity phenotypes with lean mass versus function, comparing phenotypic models against aggregate volume metrics.MethodsThis cross-sectional study analyzed National Health and Nutrition Examination Survey 2011-2014 data from United States adults aged analyzed. K-Means clustering derived activity phenotypes from wrist-accelerometry features representing rhythm and fragmentation. Survey-weighted linear regression assessed independent associations with appendicular lean mass (
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