Key result
The mean, percentile, and threshold norms of the Sub-Health Measurement Scale Version 1.0 were established for Chinese urban residents, categorizing health into five states from disease to healthy.
Why the study?
Norms for the Sub-Health Measurement Scale Version 1.0 (SHMS V1.0) were needed for Chinese urban residents to provide a reference for screening and diagnosis of sub-health status.
Cross-Sectional (n=15,066)
Yes
The study established norms for the Sub-Health Measurement Scale (SHMS V1.0) for Chinese urban residents, providing a reference for rapid screening and diagnosis of sub-health status.
Norms for sub-health scale now available in Chinese urban residents; validation required before clinical adoption.
OBJECTIVE: To establish the norms of Sub-Health Measurement Scale (SHMS V1.0) for Chinese urban residents. METHODS: Using a multistage stratified sampling method, we conducted a large-scale epidemiological investigation among 15 066 urban residents sampled from 6 regions in China, including Tianjin City (north China), Guangdong Province (south China), Anhui Province (central south China), Sichuan Province (southwest China), Lanzhou City (northwest China) and Harbin City (northeast China). The mean, percentile and threshold norms were established based on the characteristics of SHMS V1.0 scores for Chinese urban residents. RESULTS: of the converted scores. CONCLUSIONS: The norms of Sub-Health Measurement Scale (SHMS V1.0) for Chinese urban residents were established, which provides a reference for rapid screening and diagnosis of sub-health status in Chinese urban residents and facilitates further study of the prevalence and contributing factors of sub-health.
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Xu et al. (2019) conducted a cross-sectional in Sub-health status (n=15,066). Sub-Health Measurement Scale Version 1.0 (SHMS V1.0) was evaluated on Establishment of mean, percentile, and threshold norms for SHMS V1.0. The mean, percentile, and threshold norms of the Sub-Health Measurement Scale Version 1.0 were established for Chinese urban residents, categorizing health into five states from disease to healthy.
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