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Arch Gerontol Geriatr ; 55(3): 632-8, 2012.
Article in English | MEDLINE | ID: mdl-22854282

ABSTRACT

UNLABELLED: This research reports preliminary psychometric properties, especially the factor structure, of a Chinese version of a health-promoting lifestyles profile designed for older adults; and examines the distribution of the health-promoting behavioral patterns - both for the purpose of developing culturally sensitive health advancement strategies for Chinese seniors. Responses to this questionnaire were used to measure health-promoting behaviors in a random sample of 1012 elderly Chinese from thirty communities in Xi'an Shaanixi-Province. DESIGN: Factor analysis relied on polychoric correlations with ordinal categorical data were used to evaluate reliability and validity of a revised Chinese version of the health-promoting lifestyles profile (HPLP-C). Because this revised version was used to assess elderly adults, we termed it the HPLP-CE. This factor analysis supported a six-factor model of the original HPLP-C scale. Confirmatory factor analysis indicated a good fit, with factors explaining 88.1% of the common variance of the HPLP-CE scores. Cronbach's α coefficients were 0.91 for the revised instrument, and ranged from 0.67 to 0.88 for six dimensions. The split-half reliability was 0.92, while the test-retest reliability was 0.68. Relationships between HPLP-CE, perceived health status, SF-36 scale scores, and associations with selected demographic variables were significantly positive. CONCLUSIONS: We concluded that this revised scale, based on the 40-item HPLP-C, was considered suitable for measuring health-promoting lifestyles of older adults in China. Mental and inner self-reflection planes were the most salient factors for assessing health-promoting behaviors of seniors. Such factors need to be considered if preventive programs are to be designed to promote seniors' health.


Subject(s)
Health Promotion/statistics & numerical data , Risk Reduction Behavior , Aged , Aged, 80 and over , China/epidemiology , Chronic Disease , Factor Analysis, Statistical , Female , Geriatric Assessment/methods , Geriatric Assessment/statistics & numerical data , Health Promotion/methods , Health Status , Health Surveys/methods , Health Surveys/statistics & numerical data , Humans , Male , Middle Aged , Models, Biological , Prevalence , Reproducibility of Results , Surveys and Questionnaires
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