Association between age and phase angle in “old” and “super-old” nursing home residents

Abstract

We aimed to clarify the characteristics of age-related changes based on the body composition data of old and super-old nursing home residents. [Participants and Methods] This cross-sectional study included 53 female nursing home residents aged 75 years and above (mean age: 89.4 years; standard deviation: 5.6 years). They were divided into the old and super-old groups. The old group consisted of 24 participants aged between 75 and 89 years (mean age: 84.4 years; standard deviation: 3.7 years). The super-old group consisted of 29 participants aged 90 years and above (mean age: 93.5 years; standard deviation: 2.7 years). The parameters such as phase angle, skeletal muscle mass index, skeletal muscle mass, body fat percentage, body mass index, and Barthel index were examined in the two groups. The relationship between age and phase angle was determined, and the partial correlation coefficient was analyzed using the items for which a significant difference was found between the two groups as adjustment variables.[Results] The overall phase angle was 3.2 degrees, and that of the super-old group alone was 2.6 degrees. Age-related difference was observed in the phase angle and Barthel index. A significant correlation of −0.53 was observed between age and phase angle. The Barthel index-adjusted partial correlation coefficient between age and phase angle was −0.35. [Conclusion] The results of this study indicated that phase angle is an indicator of physical condition associated with aging in female nursing home residents aged 75 to 100 years.

Phase angle as a prognostic factor for one-year mortality in geriatric health service facility residents

“…This report compares the phase angle between the SD and DG in female residents of a Japanese geriatric health service facility and the optimal PhA cur-off point for determining the one-year mortality. The PhA has been reported to be an indicator of physical condition associated with aging for nursing home residents with various diseases 5 ) . In this study, patients in the DG were significantly older, and had significantly more malignant tumors, than those in the SG.…”

“…Therefore, PhA is a feasible evaluation for assessing cellar health and could be a potential marker of inflammation and oxidative stress 4) . Our previous study indicated that PhA is an indicator of physical condition associated with aging even in nursing home residents aged 75 to 100 years for female 5) .…”

Effectiveness of comparing calf circumference with neck circumference regarding their association with skeletal muscle indices in Japanese nursing home residents

“…The relationships among CC, NC, and body composition were determined using Pearson’s correlation coefficient. Furthermore, the partial correlation coefficient, adjusted for age and sex, was analyzed because previous research has demonstrated that PhA and body mass are influenced by age and sex 5 , 18 ) . All statistical analyses were performed using SPSS Statistics (version 27.0).…”

Comparative analysis of specific resistivity and phase angle among individuals of different age groups

“…However, this parameter displays a distribution categorized by age and gender, which exhibits signi cant variability. This becomes more evident after the age of 20, with a signi cant decline in the mean after 50 13,14 .…”