Purpose: General linear modeling (GLM) is usually applied to investigate factors associated with the domains of Quality of Life (QOL). A summation score in a specific sub-domain is regressed by a statistical model inc...Purpose: General linear modeling (GLM) is usually applied to investigate factors associated with the domains of Quality of Life (QOL). A summation score in a specific sub-domain is regressed by a statistical model including factors that are associated with the sub-domain. However, using the summation score ignores the influence of individual questions. Structural equation modeling (SEM) can account for the influence of each question’s score by compositing a latent variable from each question of a sub-domain. The objective of this study is to determine whether a conventional approach such as GLM, with its use of the summation score, is valid from the standpoint of the SEM approach. Method: We used the Japanese version of the Maugeri Foundation Respiratory Failure Questionnaire, a QOL measure, on 94 patients with heart failure. The daily activity sub-domain of the questionnaire was selected together with its four accompanying factors, namely, living together, occupation, gender, and the New York Heart Association’s cardiac function scale (NYHA). The association level between individual factors and the daily activity sub-domain was estimated using SEM?and GLM, respectively. The standard partial regression coefficients of GLM and standardized path coefficients of SEM were compared. If?these coefficients were similar (absolute value of the difference -0.06 and -0.07 for the GLM and SEM. Likewise, the estimates of occupation, gender, and NYHA were -0.18 and -0.20, -0.08 and -0.08, 0.51 and 0.54, respectively. The absolute values of the difference for each factor were 0.01, 0.02, 0.00, and 0.03, respectively. All differences were less than 0.05. This means that these two approaches lead to similar conclusions. Conclusion: GLM is a valid method for exploring association factors with a domain in QOL.展开更多
OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetn...OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetness constitution.METHODS: A case-control study was conducted with the cases selected from the database of Chinese constitution survey in 9 provinces or municipalities of China. 1380 cases met the diagnostic criteria of phlegm-wetness type were taken as the case group, and 1380 cases were randomly selected from gentleness type as the control group. Using Chi-square test to compare the differences of lifestyle-behavior composition in each group; single factor and multiple logistic regression analysis were used to compare the relationships of life-style-behavioral factors and phlegm-wetness type.RESULTS: There were statistically significant differences between phlegm-wetness type group and gentleness type group in lifestyle behaviors(dietary habits, tobacco and liquor consumptions, exercise habits, sleeping habits). The results of single factor logistic regression analysis demonstrated that the risk of phlegm-wetness constitution decreased significantly in light diet(odds ratio, OR=0.68);The risk factors of phlegm-wetness type were fatty food intake(OR=2.36), sleeping early and getting up late(OR=1.87), tobacco smoking(OR=1.83),barbecued food intake(OR=1.68), alcohol drinking(OR=1.63), salty food intake(OR=1.44), sleeping erratically(OR=1.43), less physical activities(OR=1.42), sweet food intake(OR=1.29), sleeping and getting up late(OR=1.26), and pungent food intake(OR=1.21), respectively. Regardless of the interaction among lifestyle-behavioral factors, the results of the multiple logistic regression analysis revealed that the risk factors of phlegm-wetness type were sleeping early and getting up late(OR=1.94), fatty food intake(OR=1.80), tobacco smoking(OR=1.50),sleeping erratically(OR=1.50), barbecued food intake(OR=1.40), sleeping and getting up late(OR=1.40), less physical activities(OR=1.31), sleeping late and getting up early(OR=1.27),and sweet food intake(OR=1.27), respectively, and the risk ofphlegm-wetness type still decreased significantly inlightfoodintake(OR=0.79).CONCLUSION: Light diet can decrease the risk of being phlegm-wetness constitution, and bad lifestyle behaviors such as sleeping early and getting up late, sleeping erratically, fatty food, barbecued food or sweet food intake, tobacco and liquor consumptions, and less physical activities can increase the risks of becoming phlegm-wetness constitution.展开更多
文摘Purpose: General linear modeling (GLM) is usually applied to investigate factors associated with the domains of Quality of Life (QOL). A summation score in a specific sub-domain is regressed by a statistical model including factors that are associated with the sub-domain. However, using the summation score ignores the influence of individual questions. Structural equation modeling (SEM) can account for the influence of each question’s score by compositing a latent variable from each question of a sub-domain. The objective of this study is to determine whether a conventional approach such as GLM, with its use of the summation score, is valid from the standpoint of the SEM approach. Method: We used the Japanese version of the Maugeri Foundation Respiratory Failure Questionnaire, a QOL measure, on 94 patients with heart failure. The daily activity sub-domain of the questionnaire was selected together with its four accompanying factors, namely, living together, occupation, gender, and the New York Heart Association’s cardiac function scale (NYHA). The association level between individual factors and the daily activity sub-domain was estimated using SEM?and GLM, respectively. The standard partial regression coefficients of GLM and standardized path coefficients of SEM were compared. If?these coefficients were similar (absolute value of the difference -0.06 and -0.07 for the GLM and SEM. Likewise, the estimates of occupation, gender, and NYHA were -0.18 and -0.20, -0.08 and -0.08, 0.51 and 0.54, respectively. The absolute values of the difference for each factor were 0.01, 0.02, 0.00, and 0.03, respectively. All differences were less than 0.05. This means that these two approaches lead to similar conclusions. Conclusion: GLM is a valid method for exploring association factors with a domain in QOL.
基金Supported by Research of Traditional Chinese Medicine Health cognition theory and Constitution Classification from the National Basic Research Program(973 Program)(No.2011CB505403)
文摘OBJECTIVE: To explore the relationships between different lifestyle-behavioral factors and phlegm wetness type of Traditional Chinese Medicine constitution,so as to provide health management strategies for phlegm-wetness constitution.METHODS: A case-control study was conducted with the cases selected from the database of Chinese constitution survey in 9 provinces or municipalities of China. 1380 cases met the diagnostic criteria of phlegm-wetness type were taken as the case group, and 1380 cases were randomly selected from gentleness type as the control group. Using Chi-square test to compare the differences of lifestyle-behavior composition in each group; single factor and multiple logistic regression analysis were used to compare the relationships of life-style-behavioral factors and phlegm-wetness type.RESULTS: There were statistically significant differences between phlegm-wetness type group and gentleness type group in lifestyle behaviors(dietary habits, tobacco and liquor consumptions, exercise habits, sleeping habits). The results of single factor logistic regression analysis demonstrated that the risk of phlegm-wetness constitution decreased significantly in light diet(odds ratio, OR=0.68);The risk factors of phlegm-wetness type were fatty food intake(OR=2.36), sleeping early and getting up late(OR=1.87), tobacco smoking(OR=1.83),barbecued food intake(OR=1.68), alcohol drinking(OR=1.63), salty food intake(OR=1.44), sleeping erratically(OR=1.43), less physical activities(OR=1.42), sweet food intake(OR=1.29), sleeping and getting up late(OR=1.26), and pungent food intake(OR=1.21), respectively. Regardless of the interaction among lifestyle-behavioral factors, the results of the multiple logistic regression analysis revealed that the risk factors of phlegm-wetness type were sleeping early and getting up late(OR=1.94), fatty food intake(OR=1.80), tobacco smoking(OR=1.50),sleeping erratically(OR=1.50), barbecued food intake(OR=1.40), sleeping and getting up late(OR=1.40), less physical activities(OR=1.31), sleeping late and getting up early(OR=1.27),and sweet food intake(OR=1.27), respectively, and the risk ofphlegm-wetness type still decreased significantly inlightfoodintake(OR=0.79).CONCLUSION: Light diet can decrease the risk of being phlegm-wetness constitution, and bad lifestyle behaviors such as sleeping early and getting up late, sleeping erratically, fatty food, barbecued food or sweet food intake, tobacco and liquor consumptions, and less physical activities can increase the risks of becoming phlegm-wetness constitution.
