Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women
碩士 === 元智大學 === 資訊管理學系 === 96 === This study aimed to identify the risk factors associated with osteoporosis in postmenopausal women, establish the predictive model for osteoporosis. In order to provide a reference for personal health care, prevention and clinical diagnosis, we also offered a web-ba...
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ndltd-TW-096YZU053960632015-10-13T13:48:21Z http://ndltd.ncl.edu.tw/handle/74930047715068832406 Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women 停經婦女骨質疏鬆危險因子分析及預測模型之建立 Wen-Tai Chan 詹文泰 碩士 元智大學 資訊管理學系 96 This study aimed to identify the risk factors associated with osteoporosis in postmenopausal women, establish the predictive model for osteoporosis. In order to provide a reference for personal health care, prevention and clinical diagnosis, we also offered a web-based platform for the estimation of the risk of osteoporosis through the entry of age, body weight, body height, and Becker Depression Inventory. Postmenopausal women from a Gynecology outpatient department in a medical center were enrolled. The questionnaire and evaluation scale were given to 450 eligible women and the results were analyzed. Logistic regression analysis was used to identify the potential risk factors associated with the occurrence of osteoporosis in this cross-sectional study. Data were expressed as mean ± standard deviation and percentage for continuous variables and categorical variables, respectively. Student’s t-test or one-way ANOVA were used for continuous variables while Chi-square test was used for categorical variables in univariate analysis. In order to identify independent risk factors in the prediction model, variables that were significant in the univariate analysis were further evaluated with stepwise logistic regression in forward manner. Age, BMI, BDI were identified independent risk factors for osteoporosis in postmenopausal women. Conclusions: BDI is an independent risk factor for osteoporosis with an odds ratio of 2.129. In addition, body mass index (BMI) is also an independent risk factor for osteoporosis. There is an 87.9% decrease of the risk of osteoporosis per unit increase of BMI, suggesting that osteoporosis more often occurs in non-obese people. Age is another independent risk factor for osteoporosis. There is a 1.143-fold risk of osteoporosis per one-year increase in age, suggesting the risk for osteoporosis progressively increases with increasing age. Our study indicates that age, BMI, BDI are independent risk factors for osteoporosis in postmenopausal women. We establish a useful and feasible predictive model for risk estimation using a web-based approach that may provide important information for health care. Chien-Lung Chan 詹前隆 2008 學位論文 ; thesis 64 zh-TW |
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碩士 === 元智大學 === 資訊管理學系 === 96 === This study aimed to identify the risk factors associated with osteoporosis in postmenopausal women, establish the predictive model for osteoporosis. In order to provide a reference for personal health care, prevention and clinical diagnosis, we also offered a web-based platform for the estimation of the risk of osteoporosis through the entry of age, body weight, body height, and Becker Depression Inventory.
Postmenopausal women from a Gynecology outpatient department in a medical center were enrolled. The questionnaire and evaluation scale were given to 450 eligible women and the results were analyzed.
Logistic regression analysis was used to identify the potential risk factors associated with the occurrence of osteoporosis in this cross-sectional study. Data were expressed as mean ± standard deviation and percentage for continuous variables and categorical variables, respectively. Student’s t-test or one-way ANOVA were used for continuous variables while Chi-square test was used for categorical variables in univariate analysis. In order to identify independent risk factors in the prediction model, variables that were significant in the univariate analysis were further evaluated with stepwise logistic regression in forward manner.
Age, BMI, BDI were identified independent risk factors for osteoporosis in postmenopausal women.
Conclusions:
BDI is an independent risk factor for osteoporosis with an odds ratio of 2.129. In addition, body mass index (BMI) is also an independent risk factor for osteoporosis. There is an 87.9% decrease of the risk of osteoporosis per unit increase of BMI, suggesting that osteoporosis more often occurs in non-obese people.
Age is another independent risk factor for osteoporosis. There is a 1.143-fold risk of osteoporosis per one-year increase in age, suggesting the risk for osteoporosis progressively increases with increasing age.
Our study indicates that age, BMI, BDI are independent risk factors for osteoporosis in postmenopausal women. We establish a useful and feasible predictive model for risk estimation using a web-based approach that may provide important information for health care.
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author2 |
Chien-Lung Chan |
author_facet |
Chien-Lung Chan Wen-Tai Chan 詹文泰 |
author |
Wen-Tai Chan 詹文泰 |
spellingShingle |
Wen-Tai Chan 詹文泰 Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
author_sort |
Wen-Tai Chan |
title |
Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
title_short |
Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
title_full |
Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
title_fullStr |
Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
title_full_unstemmed |
Identifying the Risk Factors and Establishing a Predictive Model of Osteoporosis in Menopause Women |
title_sort |
identifying the risk factors and establishing a predictive model of osteoporosis in menopause women |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/74930047715068832406 |
work_keys_str_mv |
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