Development of health-related physical fitness measurement scale and its reliability and validity in the elderly
10.3760/cma.j.cn371468-20201016-01799
- VernacularTitle:健康体适能评定量表的编制及在老年人群中应用的信效度
- Author:
Heng QIU
;
Chen HUANG
;
Qian LIU
;
Lijie JIANG
;
Zhuomin HUANG
;
Jun XU
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2021;30(2):173-179
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop health-related physical fitness measurement scale and assess its reliability and validity among older adults.Methods:The health-related physical fitness measurement scale was developed through Delphi method and field investigation method.And the authority coefficient, Kendall's coefficient and variation coefficient were analyzed.A multi-stage random sampling technique was adopted to select 410 older adults to investigate the reliability and validity of health-related physical fitness measurement scale with test-retest reliability, Cronbach's α coefficient and Guttman Split-Half coefficient and structural validity by IBM SPSS 20.0 and AMOS 22.0.Results:The health-related physical fitness measurement scale consisted of 3 dimensions (organic function, motor function, physical adaptive capacity) and 15 indexes.The Cronbach's α coefficient was 0.84.The Spearman-Brown correlation coefficient and Guttman Split-Half coefficient were both 0.82.The test-retest reliability between the first measurement and retest after 1 week was 0.84.Three factors were extracted by exploratory factor analysis, which were basically consistent with the theoretical concept of the scale, but the items of the theoretical conception were different from the actual ones.Confirmatory factor analysis based on the theoretical conception showed that all the indexes met the requirements of reference value as well(χ 2/ df=2.38, GFI=0.94, AGFI=0.91, CFI=0.92, TLI=0.91, TFI=0.92, RMSEA=0.06). Conclusion:The health-related physical fitness measurement scale has good reliability and validity in measuring the health fitness level of the elderly population in Guangzhou.
