Assessment of the reliability and validity of the Sub-health Measurement Scale Version1.0

Department of Economic Management, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Nan fang yi ke da xue xue bao = Journal of Southern Medical University 01/2011; 31(1):33-8.
Source: PubMed


To assess the reliability and validity of the Sub-health Measurement Scale Version 1.0 (SHMS V1.0).
A spot trial sampling of 2000 individuals was conducted to study the test-retest reliability, Cronbach alpha coefficient, split-half reliability, contract validity, content validity and criterion-related validity of SHMS V1.0.
The spot trial results indicated a test-retest reliability of SHMS V1.0 of 0.644 (P<0.001) with a Cronbach α coefficient of 0.917 and a split-half reliability of 0.831. The results showed a close correlation between each item of SHMS V1.0 and its dimension, but a low correlation between a particular item and other dimensions. The dimension score was significantly correlated to its subscale scores, but not to other subscale scores. The results of factor analysis matched the theoretical conception of SHMS V1.0. The correlation coefficient between SHMS V1.0 and SF-36 was 0.664 (P<0.001).
SHMS V1.0 has a good reliability and validity, and is a reliable and valid measurement scale for sub-health evaluation.

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    ABSTRACT: Objectives Suboptimal health status (SHS) is considered to be an intermediate status between disease and health, and is characterised by a decline in vitality, in physiological function and in the capacity for adaptation. Although the incidence of SHS is high, the underlying causes remain unclear. Lifestyle is one of the most important factors affecting health status; however, the relationship between SHS and lifestyle has not been elucidated. Design Cross-sectional survey. Setting A questionnaire, based on ‘Health Promoting Lifestyle Profile-II (HPLP-II)’ and ‘Sub-Health Measurement Scale V1.0 (SHMS V1.0)’, was sent to four colleges in four districts (Guangzhou, Foshan, Zhanjiang and Shaoguan) of China between May and July 2013. Participants A total of 12 429 questionnaires were distributed during the study period, and 11 144 completed responses were received. Results The prevalence rates for the ‘healthy’, ‘SHS’ and ‘disease’ groups of respondents (students) were 22.81% (2542), 55.9% (6234) and 21.25% (2368), respectively. Most of the students reported a ‘moderate’ or ‘good’ lifestyle. There were significant differences in lifestyle and health status between the two genders. It was notable that health status was significantly positively correlated with lifestyle (r=0.563). For every dimension of the HPLP-II model, the mean values were lower for those participants who reported as ‘SHS’ or ‘disease’ than for those who reported that they were ‘healthy’. The individual dimensions of the HPLP-II model, including ‘spiritual growth’, ‘health responsibility’, ‘physical activity’, ‘interpersonal relations’ and ‘stress management’ were all related to SHS. Conclusions Health status is significantly positively correlated with lifestyle. Poor lifestyle is a risk factor for SHS. Conversely, adopting a healthier lifestyle can improve SHS. Trial registration number ChiCTR-OCH-12002317.
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