Abstract
Body mass index (BMI) is routinely used to ascertain health status, including activities of daily living (ADLs); however, the associations of ADLs with height and weight in older adults have not been elucidated. Therefore, we cross-sectionally investigated the correlations between ADLs and height, weight, and BMI in 155 participants aged 82 to 103 years and characterized the naïve Bayesian prediction for ADLs. Activities of daily living showed a significant negative correlation with height and weight and a positive correlation with age. In males, a shorter height was associated with an increased risk of falling and disability in phone calling independently, and losing weight was associated with an increased risk of disability in going out. Combining age, weight, and height improved the area under the receiver operating characteristic curve in the prediction of disability in going out and phone calling independently in males. Therefore, height and weight, not BMI, are potential predictors of ADL decline.
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