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Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women
INTRODUCTION: The study aimed to determine the risk factors for reduced bone mineral density (BMD) among postmenopausal women. MATERIAL AND METHODS: Two hundred and fifty-three postmenopausal women were included to the study. The study group consisted of 85 women with osteoporosis (mean age: 59.9 ye...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361047/ https://www.ncbi.nlm.nih.gov/pubmed/22662008 http://dx.doi.org/10.5114/aoms.2012.28562 |
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author | Bączyk, Grażyna Opala, Tomasz Kleka, Paweł Chuchracki, Marek |
author_facet | Bączyk, Grażyna Opala, Tomasz Kleka, Paweł Chuchracki, Marek |
author_sort | Bączyk, Grażyna |
collection | PubMed |
description | INTRODUCTION: The study aimed to determine the risk factors for reduced bone mineral density (BMD) among postmenopausal women. MATERIAL AND METHODS: Two hundred and fifty-three postmenopausal women were included to the study. The study group consisted of 85 women with osteoporosis (mean age: 59.9 years) and 168 with osteopenia (mean age: 57.8 years). Patients were assigned to groups according to their BMD measured in the lumbar spine, hip and femoral neck by dual X-ray absorptiometry. Bone formation was assessed by measuring serum osteocalcin and bone resorption by measuring serum C-terminal type I α-collagen chain telopeptide. RESULTS: Multiple regression analysis for lumbar spine showed association of age (p = 0.001), parental history of fracture (p = 0.05), use of hormone replacement therapy (p = 0.034), bisphosphonates therapy (p < 0.001), calcium and vitamin D supplements therapy (p = 0.001), oestradiol level (p = 0.007) and body mass index (p < 0.001). Multiple regression analysis for femoral neck and hip total showed association of age (p = 0.001), parental history of fracture (p = 0.049), use of bisphosphonates (p < 0.03)) use of calcium and vitamin D supplements (p = 0.039), oestradiol level (p = 0.047). All the variables together explain 40.4% of variance in BMD for the lumbar spine and 25.6% of variance in BMD for femoral neck and hip total. CONCLUSIONS: The present study demonstrated correlations between the variables and BMD, which are known and widely described in the literature. Osteoporosis and osteopenia in Polish subjects appear to be associated with several known risk factors that are well described in the literature. |
format | Online Article Text |
id | pubmed-3361047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-33610472012-06-01 Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women Bączyk, Grażyna Opala, Tomasz Kleka, Paweł Chuchracki, Marek Arch Med Sci Clinical Research INTRODUCTION: The study aimed to determine the risk factors for reduced bone mineral density (BMD) among postmenopausal women. MATERIAL AND METHODS: Two hundred and fifty-three postmenopausal women were included to the study. The study group consisted of 85 women with osteoporosis (mean age: 59.9 years) and 168 with osteopenia (mean age: 57.8 years). Patients were assigned to groups according to their BMD measured in the lumbar spine, hip and femoral neck by dual X-ray absorptiometry. Bone formation was assessed by measuring serum osteocalcin and bone resorption by measuring serum C-terminal type I α-collagen chain telopeptide. RESULTS: Multiple regression analysis for lumbar spine showed association of age (p = 0.001), parental history of fracture (p = 0.05), use of hormone replacement therapy (p = 0.034), bisphosphonates therapy (p < 0.001), calcium and vitamin D supplements therapy (p = 0.001), oestradiol level (p = 0.007) and body mass index (p < 0.001). Multiple regression analysis for femoral neck and hip total showed association of age (p = 0.001), parental history of fracture (p = 0.049), use of bisphosphonates (p < 0.03)) use of calcium and vitamin D supplements (p = 0.039), oestradiol level (p = 0.047). All the variables together explain 40.4% of variance in BMD for the lumbar spine and 25.6% of variance in BMD for femoral neck and hip total. CONCLUSIONS: The present study demonstrated correlations between the variables and BMD, which are known and widely described in the literature. Osteoporosis and osteopenia in Polish subjects appear to be associated with several known risk factors that are well described in the literature. Termedia Publishing House 2012-05-09 2012-05-09 /pmc/articles/PMC3361047/ /pubmed/22662008 http://dx.doi.org/10.5114/aoms.2012.28562 Text en Copyright © 2012 Termedia & Banach http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Research Bączyk, Grażyna Opala, Tomasz Kleka, Paweł Chuchracki, Marek Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title | Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title_full | Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title_fullStr | Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title_full_unstemmed | Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title_short | Multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
title_sort | multifactorial analysis of risk factors for reduced bone mineral density among postmenopausal women |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361047/ https://www.ncbi.nlm.nih.gov/pubmed/22662008 http://dx.doi.org/10.5114/aoms.2012.28562 |
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