ABSTRACT
OBJECTIVE@#To observe the clinical effect and safety of acupuncture in treatment of neck pain due to cervical spondylosis.@*METHODS@#According to the patients' preference and acceptance for the interventions of neck pain induced by cervical spondylosis, an acupuncture group (221 cases) and a non-acupuncture group (251 cases) were divided. After the control of confounding factors with propensity score matching, 218 cases were included in either acupuncture group or non-acupuncture group. In the acupuncture group, acupuncture was applied to Dazhui (GV 14), Baihui (GV 20), ashi points, bilateral neck-Jiaji (EX-B 2), Fengchi (GB 20), Houxi (SI 3), Shenmai (BL 62), etc. The treatment was given once daily, one course of intervention was composed of 5 treatments and 3 courses were included. In the non-acupuncture group, the oral administration of imrecoxib tablets and cobalt tablets was prescribed for 2 weeks. Before and after treatment, the scores of Northwick Park questionnaire (NPQ) and the simplified McGill pain questionnaire (SF-MPQ) were observed, and the safety was assessed in patients of the two groups.@*RESULTS@#After treatment completion, the scores of NPQ and SF-MPQ were all reduced when compared with those before treatment in each group (P<0.001), and the scores of NPQ and SF-MPQ in the acupuncture group were lower than those of the non-acupuncture group (P<0.001). The incidence of adverse reactions was 6.0% (13/218) in the acupuncture group and was 10.1% (22/218) in the non-acupuncture group, without statistical significance in comparison (P>0.05).@*CONCLUSION@#Acupuncture is effective and safe in the relief of neck pain and the improvement of comprehensive quality of life in the patients with cervical spondylosis.
Subject(s)
Humans , Neck Pain/therapy , Propensity Score , Quality of Life , Acupuncture Points , Acupuncture Therapy , Spondylosis/therapy , Treatment OutcomeABSTRACT
Objective To analyze the subjective well-being of the aged and to explore its influencing factors in Hangzhou City to provide evidence for improving the subjective well-being of the aged. Method A total of 60 years old and above healthy people in Hangzhou were selected as research objects. Stratified random sampling was used according to age and gender. Face to face interview was conducted using a structured questionnaire. The content of the interview included subjective well-being,behavioral habits,and demographics. Statistical methods contains Wilcoxon signed-rank test, Kruskal-Wallis H test and Spearman rank correlation. Logistic regression was used to select influencing factors of subjective well-being. Results A total of 429 samples were used in the analysis according to inclusion and exclusion criterion. The mean score of subjective well-being was 14.0±2.0,and the result of logistic regression shows that gender,marriage status,the number of people living together,whether experienced negative life events,the number of people that can provide information were important factors of subjective well-being. Conclusions The level of subjective well-being of elderly people in Hangzhou was high. The government and society should improve SWB among the aged by providing more psychological guidance and more social support.
ABSTRACT
Objective Using the Back Propagation (BP) Neural Network Model to discover the relationship between meteorological factors and mortality of intracerebral hemorrhage,to provide evidence for developing an intracerebral hemorrhage prevention and control program,in Harbin.Methods Based on the characteristics of BP neural network,a neural network Toolbox of MATLAB 7.0 software was used to build Meteorological data of 2007-2009 with intracerebral hemorrhage mortality to predict the effect of BP neural network model,and to compare with the traditional multivariate linear regression model. Results Datas from the multivariate linear regrcssion indicated that the cerebral hemorrhage death mortality had a negative correlation with maximum temperatureand minimum humidity while having a positive correlation with the average relative humidity and the hours of sunshine.The linear correlation coefficient of intracerebral hemorrhage mortality was 0.7854,with mean absolute percentage (MAPE) as 0.21,mean square error (MSE) as 0.22,mean absolute error(MAE) as 0.19.The accuracy of forecasting was 81.31％ with an average error rate as 0.19.The Fitting results of BP neural network model showed that non-linear correlation coefficient of intracerebral hemorrhage mortality was 0.7967,with MAPE as 0.19,MSE as 0.21,MAE as 0.18.The forecasting accuracy was 82.53％ with the average error rate as 0.17.Conclusion The BP neural network model showed a higher forecasting accuracy when compared to the multiple linear regression model on intraccrebral hemorrhage mortality,using the data of 2010' s.