|
内容記述 |
In the current global aging society, attempts should be made to help limit future health problems by promoting the effective maintenance of cognitive function among the aged. Therefore, this study aimed to investigate the association between cognitive function and body composition parameters. The study participants were 296 community-dwelling older women. The Mini-Mental State Examination (MMSE) was used to evaluate cognitive function, with poor cognitive performance (cognitive impairment) defined as an MMSE score <- 26 points. A bioelectrical impedance analysis device was used to measure body composition parameters. In total, 35 (11.8%) of the participants had an MMSE score <- 26. Compared with the MMSE > 26 group, the MMSE <- 26 group was significantly older, had a lower skeletal muscle mass index (SMI), lower skeletal muscle mass, lower fat-free body mass, lower fat-free trunk mass, lower fat-free arm mass, and lower fat-free leg mass. Receiver operating characteristic curve analysis of body composition parameters indicated that SMI, skeletal muscle mass, fat-free body mass, fat-free trunk mass, fat-free arm mass, and fat-free leg mass all had an area under the curve > 0.6, with threshold scores of 5.00 kg/m2, 17.60 kg, 33.60 kg, 14.00 kg, 2.75 kg, and 9.51 kg, respectively. Logistic regression analysis adjusted for age, years of education, and body mass index (BMI) showed that participants with skeletal muscle mass <- 17.60 kg had the lowest odds ratio (OR), at 0.234 (95% confidence interval [CI]: 0.095 - 0.573; p = 0.0015), for an MMSE score > 26. Furthermore, skeletal muscle mass < 17.60 kg was associated with lower scores on the working memory subscale of the MMSE (OR: 0.694; 95% CI: 0.534 - 0.902; p = 0.0058). These findings suggest that cognitive impairment is associated with muscle mass, especially skeletal muscle mass. A certain amount of skeletal muscle mass may therefore be beneficial to maintain cognitive function. |
C 1-035-042 (289.3 kB)
