Super-multifactorial survey YHAB revealed high prevalence of sleep apnoea syndrome in unaware older adults and potential combinatorial factors for its initial screening

Height and Weight, Not Body Mass Index, Are Closely Associated With Activities of Daily Living in Japanese Older Adults

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.

Sleep status of older adults with sleep apnoea syndrome may vary by body mass index

Obesity and ageing are the most important risk factors for sleep apnoea syndrome (SAS); however, the role of body mass index (BMI) on sleep status in healthy older adults is unclear. To explore sleep parameters according to BMI among active older adults, we cross-sectionally examined the relationship between sleep-related parameters and BMI in 32 Japanese adults aged from 83 to 95 years without long-term care who were unaware of having SAS. Correlation and linear regression analyses were performed. Moderate or severe SAS prevalence was high in both those with low (68.8%) and high (68.8%) BMI. A higher increase in apnoea-hypopnoea index (AHI) was negatively correlated with sleep depth in the high-BMI group. In the low-BMI group, the number of awakenings and age were positively correlated with AHI. Older adults may have SAS regardless of their BMI, and the sleep status of patients with SAS may vary by BMI.