Development of the Chinese Version of the Health Enhancement Lifestyle Profile (HELP-C)

• Main Authors: Pei-Chi Su, 蘇姵綺
• Other Authors: Hui-Fen Mao
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/39041132854580906669

碩士 === 國立臺灣大學 === 職能治療研究所 === 100 === Background: Healthy lifestyle is a modifiable factor for preventing or delaying the deteriorating effects of chronic illness, and is a key component of health promotion program. A sound health-related lifestyle measurement can assist in detecting older adults at risk of unhealthy lifestyles. It can also serve as an outcome measure of health promotion programs. The Health Enhancement Lifestyle Profile (HELP) is a measure that monitors one’s health-related lifestyle. It has been validated within the American population. Given that lifestyle is embedded within environmental and cultural contexts, the applicability of HELP for the Taiwanese elderly needs to be examined. Objectives: The purpose of the current study is to develop and validate the Chinese Version of Health Enhancement Lifestyle Profile (HELP-C) by translating the original one into Chinese version modifying the descriptions, adding the cultural specific items, and to examine the psychometric characteristics through the Rasch analysis. Methods: The original HELP was translated and cultural-adapted first, and cultural-specific items were added through 3 focus groups, forming a preliminary version of the HELP-C. The preliminary HELP-C was field-tested in a sample of 269 community-dwelling older adults. Items of the cultural specific items were selected based on the results of Rasch analysis. HELP-C formed up by adding the selected ones in to the original HELP. Psychometric properties such as uni-dimensionality, model-of fit, DIF, and rating scale validity of the HELP-C were investigated. Results: Considering cultural difference, 56 items were modified in examples and wording. In addition, 3 cultural-specific items were selected (total were 59 items) into the final HELP-C. Uni-dimensionality and data-model fit of HELP were generally supported through the analyses of Principal Components of Analysis (PCA) and fit statistics. Participants were not able to differentiate reliability between the 6-point rating scale, so category collapsing were made (3-point). The item hierarchy formed through logits provided an expected pattern of healthy lifestyle behaviors. Acceptable person separation and reliability statistics supported the clinical applicability and consistency of the HELP scores. “Diet”, “activities of daily living” and “other health promotion and risks behaviors” subscales were less consistency with the Rasch model characteristics, so that further investigation is needed. DIF items were allowed due to cultural differences. Finally, although 6 items were not fit the 3-point scale, analysis of the rating scale structure confirmed the functioning of the 0- to 2-point rating scale used. Conclusions: Lifestyle is embedded within environmental and cultural contexts. HELP-C was developed for Taiwanese elderly generation. It can assist in monitoring lifestyle risk factors and measuring the outcome of services aimed at promoting healthy lifestyles among older adults. However, future validation and modification of the HELP-C was needed.