Development of assessment sheets on physical performance measures by using large-scale population-based cohort data for community-dwelling older Japanese
10.7600/jspfsm.64.261
- VernacularTitle:大規模コホートデータによる地域高齢者の体力評価シートの作成
- Author:
Hisashi Kawai
;
Satoshi Seino
;
Mariko Nishi
;
Yu Taniguchi
;
Shuichi Obuchi
;
Shoji Shinkai
;
Hideyo Yoshida
;
Yoshinori Fujiwara
;
Hirohiko Hirano
;
Hun Kyung Kim
;
Tatsuro Ishizaki
;
Ryutaro Takahashi
- Collective Name:TMIG-LISA研究グループon behalf of the TMIG-LISA Research Group
- Publication Type:Journal Article
- From:Japanese Journal of Physical Fitness and Sports Medicine
2015;64(2):261-271
- CountryJapan
- Language:English
-
Abstract:
Physical performance measures, such as gait speed, one-legged stance and hand-grip strength, are known as assessment measures of motor function and predictors for adverse health outcomes, and widely used for assessing motor function in preventive programs for long-term care or screening of frail elderly. However, there is no standard assessment sheet for feedback of the results. In the present study, an assessment sheet on physical performance measures for community-dwelling older adults was developed. A pooled analysis of data from six cohort studies, including urban and rural areas was conducted as part of the Tokyo Metropolitan Institute of Gerontology Longitudinal Interdisciplinary Study on Aging. The pooled analysis included cross-sectional data from 4683 nondisabled, community-dwelling adults aged 65 years or older. Quintiles were derived according to age and sex group for six physical performance measures, i.e., hand-grip strength, one-legged stance, and gait speed and step length at both usual and maximum paces. The assessment sheets, which indicated the physical performance level according to age and sex, were developed by fitting third order polynomial curves to the data. The reference values in the present assessment sheet were considered to be derived from better represented community-dwelling older adults by using more large-scale population-based cohort data than that in the previous study. The assessment sheet should be useful for feeding back results on physical performance measures to elderly individuals and help them better understand their own physical performance levels.