Mapping the Constitution in Chinese Medicine Questionnaire to SF-6Dv1 / 中医杂志

ObjectiveTo construct and evaluate the transformation model of the Constitution in Chinese Medicine Questionnaire （CCMQ） to SF-6Dv1 health utility and broaden the applications of CCMQ. MethodsThe data of CCMQ and SF-6Dv1 were collected from 595 participants at baseline， 3 months and 6 months after the comprehensive intervention suitable for the corresponding traditional Chinese medicine （TCM） constitution. The estimation and validation datasets were constructed， and four statistical algorithms including the ordinary least squares （OLS）， MM robust regression （MM）， censored least absolute deviations （CLAD） and the Tobit model were used to create alternative models. The mean absolute error （MAE）， root mean square error （RMSE） and intraclass correlation coefficient （ICC） were used to evaluate the prediction performance of the model. ResultsThe constitution scores of all TCM constitutions by CCMQ was significantly correlated with the SF-6Dv1 health utility value measured at three timepoints； the health utility value of the SF-6Dv1 was positively correlated with gentleness type （r=0.596， r=0.578， r=0.606， all P＜0.05） and negatively correlated with eight unbalanced constitutions （r=-0.586~-0.301， all P＜0.05）. The MM established based on the subscale scores of CCMQ was the optimal mapping model， and the MAE， RMSE， and ICC values were 0.0741， 0.0930 and 0.766， respectively. Gentleness type， qi-deficiency type， phlegm-wetness type， qi-constraint type， and age were the primary factors included in the model. The measured and predicted value of SF-6Dv1 had a moderate positive correlation （r=0.673， r=0.617， P＜0.05） and a good consistency as shown by the Bland-Altman plot. ConclusionBy using MM， the CCMQ can be transformed into SF-6Dv1 health utility value for health economics analysis.

Body mass index as a moderator of the relationship between chronic disease and health-related quality of life / 中华流行病学杂志

Objective To examine the function of body mass index(BMI)as a moderator reflecting the relationship between chronic disease and health-related quality of life(HRQOL). Methods This study included 8 314 participants pooled from a general population-based cross-sectional survey that had been conducted in Beijing and 8 provinces of China(Jiangsu,Anhui,Gansu, Qinghai,Fujian,Jilin,Jiangxi,and Henan). Hierarchical multiple regression was emplayed to test the moderating effect. Results In physical component summary of SF-36,the regression coefficient of interaction on chronic disease and BMI was not significantly different(β=0.084,P=0.142),while the new ΔR2 was not significantly different (ΔR2=0.000,P=0.142) either. In mental component summary of SF-36,the interaction on chronic disease and BMI was significantly different(β=0.132, P=0.034),so as the new ΔR2(ΔR2=0.001,P=0.034). Compared to the standard regression coefficient,chronic disease had a greater negative impact on HRQOL than BMI on both physical and mental component summaries. Conclusion Our results indicated that BMI could moderate the association between chronic disease and HRQOL. The higher the BMI,the smaller negative impact of chronic disease on HRQOL in mental component summary was seen.

Body mass index as a moderator of the relationship between chronic disease and health-related quality of life / 中华流行病学杂志

Objective To examine the function of body mass index(BMI)as a moderator reflecting the relationship between chronic disease and health-related quality of life(HRQOL). Methods This study included 8 314 participants pooled from a general population-based cross-sectional survey that had been conducted in Beijing and 8 provinces of China(Jiangsu,Anhui,Gansu, Qinghai,Fujian,Jilin,Jiangxi,and Henan). Hierarchical multiple regression was emplayed to test the moderating effect. Results In physical component summary of SF-36,the regression coefficient of interaction on chronic disease and BMI was not significantly different(β=0.084,P=0.142),while the new ΔR2 was not significantly different (ΔR2=0.000,P=0.142) either. In mental component summary of SF-36,the interaction on chronic disease and BMI was significantly different(β=0.132, P=0.034),so as the new ΔR2(ΔR2=0.001,P=0.034). Compared to the standard regression coefficient,chronic disease had a greater negative impact on HRQOL than BMI on both physical and mental component summaries. Conclusion Our results indicated that BMI could moderate the association between chronic disease and HRQOL. The higher the BMI,the smaller negative impact of chronic disease on HRQOL in mental component summary was seen.

Body mass index as a moderator of the relationship between chronic disease and health-related quality of life / 中华流行病学杂志

<p><b>OBJECTIVE</b>To examine the function of body mass index (BMI) as a moderator reflecting the relationship between chronic disease and health-related quality of life (HRQOL).</p><p><b>METHODS</b>This study included 8 314 participants pooled from a general population-based cross-sectional survey that had been conducted in Beijing and 8 provinces of China (Jiangsu,Anhui,Gansu, Qinghai, Fujian, Jilin, Jiangxi, and Henan). Hierarchical multiple regression was emplayed to test the moderating effect.</p><p><b>RESULTS</b>In physical component summary of SF-36, the regression coefficient of interaction on chronic disease and BMI was not significantly different (β = 0.084, P = 0.142), while the new ΔR(2) was not significantly different (ΔR(2) = 0.000, P = 0.142) either. In mental component summary of SF-36, the interaction on chronic disease and BMI was significantly different (β = 0.132, P = 0.034), so as the new ΔR(2) (ΔR(2) = 0.001, P = 0.034). Compared to the standard regression coefficient, chronic disease had a greater negative impact on HRQOL than BMI on both physical and mental component summaries.</p><p><b>CONCLUSION</b>Our results indicated that BMI could moderate the association between chronic disease and HRQOL. The higher the BMI, the smaller negative impact of chronic disease on HRQOL in mental component summary was seen.</p>

The relationship between body mass index and health-related quality of life in the adult Chinese population: among the healthy and chronic disease subgroups / 中华行为医学与脑科学杂志

Objective To investigate the relationship between body mass index (BMI) and health-related quality of life (HRQOL) in the adult Chinese population.Methods Data of 21 108 adults was collected from a cross-sectional survey performed in 9 provinces of China (Jiangsu,Anhui,Gansu,Qinghai,Fujian,Beijing,Jilin,Jiangxi and Henan province).Rank sum test was used to compare HRQOL with different BMI category.Multiple logistic regression analysis was used to assess the impact of different BMI category on HRQOL after adjusted for sex,age,marital,education,physical activity status,and tobacco and alcohol addiction.Results (1) For healthy subjects,the overweight BMI group had the highest HRQOL score in the physical component summary (PCS) (83.69±14.09) and mental component summary (MCS)(80.29± 15.41),while the underweight group had the worst HRQOL(81.20-± 14.05,74.82± 16.41).For subjects with chronic condition,overweight had the highest H RQOL score in the PCS(74.63± 18.51),and obese group had the best HRQOL in the MCS (76.75± 18.83).The variation among healthy and chronic disease subjects was much greater than the differences among BMI category groups.(2) Compared with normal weight,data on odds ratio(ORs) of impaired HRQOL in PCS(healthy subjects OR=1.23(1.10-1.35),chronic disease subjects OR=1.48(1.20-1.82)) MCS(healthy subjects OR=1.14(1.03-1.26),chronic disease subjects OR=1.37 (1.11-1.68)) and multiple dimensions increased among underweight.ORs of impaired HRQOL in PCS and general health dimension,MCS (healthy subjects OR =0.81 (0.72-0.91),chronic disease subjects OR=0.80(0.71-0.91)) and multiple dimensions decreased among overweight.ORs of impaired HRQOL in physical functioning dimension (healthy subjects OR=1.91 (1.25-2.92),chronic disease subjects OR=1.65(1.21-2.26)) while in MCS and role emotional and mental health dimension decreased among obese.Conclusion Whatever health or chronic disease,the influence of BMI on HRQOL is similar:the HRQOL score for the underweight group is significantly lower than that for other BMI groups in PCS and MCS.Overweight and the obese people has better HRQOL in MCS,and the obese people has poor physical function.The relation above between BMI and HRQOL is more obvious in people with chronic disease.

The Bibliometric Analysis on the Application Status of EQ-5D and SF-6D in Cost-Utility Analysis in the Recent 10 Years:Based on PubMed Data Base / 中国卫生经济

Objective: To analyze the application status of the EQ-5D and SF-6D in cost-utility analysis ( CUA) . Methods: The data from PubMed data base from 2003-2012 was conducted as the main resource in econometric analysis. Results: There is no certain increasing trend of literature quantity in the recent 10 years’ application of EQ-5D and SF-6D in the CUA. The main published language was English and the main country was the United Kingdom. The core authors of researches on the CUA estimated by EQ-5D and SF-6D had not been formed, however, the core periodicals had been formed. The literatures involve wide-spread diseases, mainly known as Motion system and pain diseases. Most of the effectiveness could be calculated with quality adjusted life year ( QALY) , the object of CUA is mainly on the medicine, operation and health intervention. Conclusion: Appicating EQ-5D and SF-6D in CUA and research content of the literatures has wide distribution width, although it has shown centralized trend, which still needs more studies by related researchers.