ArticleBMC geriatrics2026
Development and internal validation of a nomogram for identifying intrinsic capacity impairment among community-dwelling older adults in China: a cross-sectional study.
Article in BMC geriatrics, 2026. 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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Abstract
backgroundIntrinsic capacity (IC), reflecting an individual’s composite physical and mental capacities, is a key indicator of healthy ageing. Early identification of IC impairment among community-dwelling older adults may help support timely assessment and management in community settings. This study aimed to develop and internally validate a nomogram for identifying IC impairment among community-dwelling older adults.
methodsThis cross-sectional study included community-dwelling adults aged ≥ 60 years. IC impairment was operationally defined as impairment in at least one domain of the World Health Organization Integrated Care for Older People (WHO-ICOPE) framework. Candidate variables included demographic characteristics, lifestyle factors, fall history, chronic disease burden, medication use, handgrip strength, and appendicular skeletal muscle mass index (ASMI). Least absolute shrinkage and selection operator (LASSO) regression with 10-fold cross-validation was used for variable selection, and retained variables were entered into a multivariable logistic regression model to construct a nomogram. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), calibration, Brier score, and decision curve analysis (DCA).
resultsThe prevalence of IC impairment was 72.7%. At the more parsimonious λ.1se, age, history of falls, and appendicular skeletal muscle mass index (ASMI) were retained and used to develop the final model. The nomogram showed good discrimination, with AUCs of 0.8209 (95% CI: 0.7916–0.8502) in the training set and 0.7902 (95% CI: 0.7430–0.8373) in the validation set. Calibration was acceptable, and DCA suggested potential net benefit across a relatively wide range of threshold probabilities.
conclusionsA nomogram incorporating age, history of falls, and ASMI was developed and internally validated for identifying IC impairment among community-dwelling older adults. This model may serve as a useful reference for early community screening and stratified assessment. Further external validation is needed.
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