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Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India
The prevalence and predictors of osteoporosis and osteopenia remain to be examined in the postmenopausal women of Punjab, India. The present cross-sectional study screened 1628 postmenopausal women during September 2019 to March 2020. Osteoporosis and osteopenia were confirmed on the basis of T-scor...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910053/ https://www.ncbi.nlm.nih.gov/pubmed/35270692 http://dx.doi.org/10.3390/ijerph19052999 |
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author | Khinda, Rubanpal Valecha, Srishti Kumar, Nitin Walia, J. P. S. Singh, Kuldeep Sethi, Sudhir Singh, Avtar Singh, Monica Singh, Puneetpal Mastana, Sarabjit |
author_facet | Khinda, Rubanpal Valecha, Srishti Kumar, Nitin Walia, J. P. S. Singh, Kuldeep Sethi, Sudhir Singh, Avtar Singh, Monica Singh, Puneetpal Mastana, Sarabjit |
author_sort | Khinda, Rubanpal |
collection | PubMed |
description | The prevalence and predictors of osteoporosis and osteopenia remain to be examined in the postmenopausal women of Punjab, India. The present cross-sectional study screened 1628 postmenopausal women during September 2019 to March 2020. Osteoporosis and osteopenia were confirmed on the basis of T-scores using dual energy X-ray absorptiometry (DXA) at the hip (femoral neck) and lumbar spine regions (L1–L4 vertebrae). The prevalence of osteoporosis and osteopenia was observed to be 30.50% and 44.20%, respectively, in postmenopausal women of Punjab. In univariable and multivariable regression analysis, variables independently influencing the risk of osteoporosis and osteopenia were: higher systolic blood pressure (95%CI: 1.22–3.11 & 1.08–2.49), triglyceride levels (95%CI: 1.21–3.10 & 1.42–2.51), poor sleep quality (95%CI: 1.91–2.47 & 1.76–3.47) and C-reactive protein levels (95%CI: 2.18–3.56 & 1.03–2.18). Years since menopause >10 years was observed to be an independent predictor for the risk of osteopenia but not for osteoporosis. Higher body mass index (>30 kg·m(−2)) was observed to be a significant protective factor against the risk of osteoporosis (95%CI: 0.26–0.68) and osteopenia (95%CI: 0.19–0.52). The higher prevalence rates of osteoporosis and osteopenia in postmenopausal women of Punjab are alarming, which solicits awareness and earlier testing of those women who are approaching menopause. |
format | Online Article Text |
id | pubmed-8910053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89100532022-03-11 Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India Khinda, Rubanpal Valecha, Srishti Kumar, Nitin Walia, J. P. S. Singh, Kuldeep Sethi, Sudhir Singh, Avtar Singh, Monica Singh, Puneetpal Mastana, Sarabjit Int J Environ Res Public Health Article The prevalence and predictors of osteoporosis and osteopenia remain to be examined in the postmenopausal women of Punjab, India. The present cross-sectional study screened 1628 postmenopausal women during September 2019 to March 2020. Osteoporosis and osteopenia were confirmed on the basis of T-scores using dual energy X-ray absorptiometry (DXA) at the hip (femoral neck) and lumbar spine regions (L1–L4 vertebrae). The prevalence of osteoporosis and osteopenia was observed to be 30.50% and 44.20%, respectively, in postmenopausal women of Punjab. In univariable and multivariable regression analysis, variables independently influencing the risk of osteoporosis and osteopenia were: higher systolic blood pressure (95%CI: 1.22–3.11 & 1.08–2.49), triglyceride levels (95%CI: 1.21–3.10 & 1.42–2.51), poor sleep quality (95%CI: 1.91–2.47 & 1.76–3.47) and C-reactive protein levels (95%CI: 2.18–3.56 & 1.03–2.18). Years since menopause >10 years was observed to be an independent predictor for the risk of osteopenia but not for osteoporosis. Higher body mass index (>30 kg·m(−2)) was observed to be a significant protective factor against the risk of osteoporosis (95%CI: 0.26–0.68) and osteopenia (95%CI: 0.19–0.52). The higher prevalence rates of osteoporosis and osteopenia in postmenopausal women of Punjab are alarming, which solicits awareness and earlier testing of those women who are approaching menopause. MDPI 2022-03-04 /pmc/articles/PMC8910053/ /pubmed/35270692 http://dx.doi.org/10.3390/ijerph19052999 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Khinda, Rubanpal Valecha, Srishti Kumar, Nitin Walia, J. P. S. Singh, Kuldeep Sethi, Sudhir Singh, Avtar Singh, Monica Singh, Puneetpal Mastana, Sarabjit Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title | Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title_full | Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title_fullStr | Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title_full_unstemmed | Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title_short | Prevalence and Predictors of Osteoporosis and Osteopenia in Postmenopausal Women of Punjab, India |
title_sort | prevalence and predictors of osteoporosis and osteopenia in postmenopausal women of punjab, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910053/ https://www.ncbi.nlm.nih.gov/pubmed/35270692 http://dx.doi.org/10.3390/ijerph19052999 |
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