OBJECTIVE: To establish the norms of Sub-Health Measurement Scale Version1.0 (SHMS V1.0) for Chinese civil servants. METHODS: We sampled a total of 15 000 civil servants form Tianjin (north China), Guangdong (south China), Anhui and Hunan (central China), Xinjiang (northwest China) and Shenyang (northeast China) to perform the spot trial, and established the mean, percentile and threshold norms based on the characteristics of SHMS V1.0 scores for Chinese civil servants. RESULTS: The established norms based on the average scores of SHMS V1.0 showed a mean score of 66.55∓12.36 for young male subjects (below 40 years), 67.42∓12.40 for older male subjects, 66.22∓11.81 for female subjects younger than 40 years, and 65.94∓11.91 for older female subjects. The threshold norms of SHMS V1.0 divided 5 health states, namely disease, severe sub-health, moderate sub-health, mild sub-health and healthy states according to the Mean∓SD and Mean∓0.5SD of the converted scores. The 4 cut-off points were close to the 15th, 30th, 70th and 85th percentile scores of SHMS V1.0. CONCLUSION: We have established SHMS V1.0 norms for Chinese civil servants, which facilitates further investigation of the incidence of sub-health state and its contributing factors in civil servants.
OBJECTIVE: To establish the norms of Sub-Health Measurement Scale Version1.0 (SHMS V1.0) for Chinese civil servants. METHODS: We sampled a total of 15 000 civil servants form Tianjin (north China), Guangdong (south China), Anhui and Hunan (central China), Xinjiang (northwest China) and Shenyang (northeast China) to perform the spot trial, and established the mean, percentile and threshold norms based on the characteristics of SHMS V1.0 scores for Chinese civil servants. RESULTS: The established norms based on the average scores of SHMS V1.0 showed a mean score of 66.55∓12.36 for young male subjects (below 40 years), 67.42∓12.40 for older male subjects, 66.22∓11.81 for female subjects younger than 40 years, and 65.94∓11.91 for older female subjects. The threshold norms of SHMS V1.0 divided 5 health states, namely disease, severe sub-health, moderate sub-health, mild sub-health and healthy states according to the Mean∓SD and Mean∓0.5SD of the converted scores. The 4 cut-off points were close to the 15th, 30th, 70th and 85th percentile scores of SHMS V1.0. CONCLUSION: We have established SHMS V1.0 norms for Chinese civil servants, which facilitates further investigation of the incidence of sub-health state and its contributing factors in civil servants.
Authors: Jun Xu; Yunlian Xue; Guihao Liu; Yefang Feng; Mengyao Xu; Juan Xie; Xiaohui Wang; Xiaomou Chen; Lijie Jiang Journal: Nan Fang Yi Ke Da Xue Xue Bao Date: 2019-03-30