Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis
Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified fa...
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Gespeichert in:
| Autor*in: |
Karadžov-Nikolić A. [verfasserIn] Vujasinović-Stupar N. [verfasserIn] Milićević S. [verfasserIn] Bukumirić Z. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch ; srp |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Praxis Medica - Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017, 44(2015), 3, Seite 33-38 |
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| Übergeordnetes Werk: |
volume:44 ; year:2015 ; number:3 ; pages:33-38 |
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10.5937/pramed1503033k |
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| 520 | |a Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. | ||
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10.5937/pramed1503033k doi (DE-627)DOAJ060035943 (DE-599)DOAJ0958d80230b14cd886685532b2c42fe7 DE-627 ger DE-627 rakwb eng srp Karadžov-Nikolić A. verfasserin aut Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. osteoporosis osteoporotic fractures prediction bone density body mass index Medicine R Vujasinović-Stupar N. verfasserin aut Milićević S. verfasserin aut Bukumirić Z. verfasserin aut In Praxis Medica Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017 44(2015), 3, Seite 33-38 (DE-627)1760592277 25603310 nnns volume:44 year:2015 number:3 pages:33-38 https://doi.org/10.5937/pramed1503033k kostenfrei https://doaj.org/article/0958d80230b14cd886685532b2c42fe7 kostenfrei http://scindeks-clanci.ceon.rs/data/pdf/0350-8773/2015/0350-87731503033K.pdf kostenfrei https://doaj.org/toc/0350-8773 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 44 2015 3 33-38 |
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10.5937/pramed1503033k doi (DE-627)DOAJ060035943 (DE-599)DOAJ0958d80230b14cd886685532b2c42fe7 DE-627 ger DE-627 rakwb eng srp Karadžov-Nikolić A. verfasserin aut Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. osteoporosis osteoporotic fractures prediction bone density body mass index Medicine R Vujasinović-Stupar N. verfasserin aut Milićević S. verfasserin aut Bukumirić Z. verfasserin aut In Praxis Medica Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017 44(2015), 3, Seite 33-38 (DE-627)1760592277 25603310 nnns volume:44 year:2015 number:3 pages:33-38 https://doi.org/10.5937/pramed1503033k kostenfrei https://doaj.org/article/0958d80230b14cd886685532b2c42fe7 kostenfrei http://scindeks-clanci.ceon.rs/data/pdf/0350-8773/2015/0350-87731503033K.pdf kostenfrei https://doaj.org/toc/0350-8773 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 44 2015 3 33-38 |
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10.5937/pramed1503033k doi (DE-627)DOAJ060035943 (DE-599)DOAJ0958d80230b14cd886685532b2c42fe7 DE-627 ger DE-627 rakwb eng srp Karadžov-Nikolić A. verfasserin aut Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. osteoporosis osteoporotic fractures prediction bone density body mass index Medicine R Vujasinović-Stupar N. verfasserin aut Milićević S. verfasserin aut Bukumirić Z. verfasserin aut In Praxis Medica Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017 44(2015), 3, Seite 33-38 (DE-627)1760592277 25603310 nnns volume:44 year:2015 number:3 pages:33-38 https://doi.org/10.5937/pramed1503033k kostenfrei https://doaj.org/article/0958d80230b14cd886685532b2c42fe7 kostenfrei http://scindeks-clanci.ceon.rs/data/pdf/0350-8773/2015/0350-87731503033K.pdf kostenfrei https://doaj.org/toc/0350-8773 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 44 2015 3 33-38 |
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10.5937/pramed1503033k doi (DE-627)DOAJ060035943 (DE-599)DOAJ0958d80230b14cd886685532b2c42fe7 DE-627 ger DE-627 rakwb eng srp Karadžov-Nikolić A. verfasserin aut Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. osteoporosis osteoporotic fractures prediction bone density body mass index Medicine R Vujasinović-Stupar N. verfasserin aut Milićević S. verfasserin aut Bukumirić Z. verfasserin aut In Praxis Medica Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017 44(2015), 3, Seite 33-38 (DE-627)1760592277 25603310 nnns volume:44 year:2015 number:3 pages:33-38 https://doi.org/10.5937/pramed1503033k kostenfrei https://doaj.org/article/0958d80230b14cd886685532b2c42fe7 kostenfrei http://scindeks-clanci.ceon.rs/data/pdf/0350-8773/2015/0350-87731503033K.pdf kostenfrei https://doaj.org/toc/0350-8773 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 44 2015 3 33-38 |
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10.5937/pramed1503033k doi (DE-627)DOAJ060035943 (DE-599)DOAJ0958d80230b14cd886685532b2c42fe7 DE-627 ger DE-627 rakwb eng srp Karadžov-Nikolić A. verfasserin aut Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. osteoporosis osteoporotic fractures prediction bone density body mass index Medicine R Vujasinović-Stupar N. verfasserin aut Milićević S. verfasserin aut Bukumirić Z. verfasserin aut In Praxis Medica Medicinski fakultet Priština, Društvo lekara Kosova i Metohije Srpskog lekarskog društva, 2017 44(2015), 3, Seite 33-38 (DE-627)1760592277 25603310 nnns volume:44 year:2015 number:3 pages:33-38 https://doi.org/10.5937/pramed1503033k kostenfrei https://doaj.org/article/0958d80230b14cd886685532b2c42fe7 kostenfrei http://scindeks-clanci.ceon.rs/data/pdf/0350-8773/2015/0350-87731503033K.pdf kostenfrei https://doaj.org/toc/0350-8773 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA AR 44 2015 3 33-38 |
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Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis osteoporosis osteoporotic fractures prediction bone density body mass index |
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Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis |
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Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis |
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Karadžov-Nikolić A. |
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Karadžov-Nikolić A. Vujasinović-Stupar N. Milićević S. Bukumirić Z. |
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analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis |
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Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis |
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Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. |
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Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. |
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Introduction: Osteoporosis is a disease characterized by bone strength disorder and weakness of the entire skeleton causing the predisposition to fractures to grow. Identification of factors which may influence pathological fractures in postmenopausal women and determining which of the identified factors have the largest influence on the development of osteoporotic fractures. A retrospective study has included 400 postmenopausal women with newly diagnosed osteoporosis examined at the Institute of Rheumatology in Belgrade. We have examined demographic data and the following fracture risk factors: physical activity, menarche, menopause, fractures after the age of forty, osteoporotic fractures in the family, comorbidity: inflammatory rheumatic diseases, intestine diseases, chronic kidney insufficiency and endocrinopathy (hyperthyroidism and diabetes) and taking glucocorticoid therapy. The value of bone density has been measured using DXA method in the spine and hip, and the body mass index has been calculated based on the body height and weight. Logistic regression has been used as the method for analyzing the relation between binary results and potential predictors. Statistical hypotheses have been tested at the statistical significance level of 0.05. In the model of multivariate logistic regression, the significant predictors of osteoporotic fractures are as follows: older age (B = 0.13; p = 0.001), higher BMI values (B = 0.094; p = 0.022) and lower BMD values (hip) (B = -3.060; p = 0.023). Elderly overweight women with lower BMD values in the hip are more susceptible to fractures due to osteoporosis; therefore this subgroup of postmenopausal women is important for the application of the measures of primary and secondary prevention of osteoporotic fractures. |
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Analysis of the factors influencing the frequency ofpathological fractures in postmenopausal women with osteoporosis |
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