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Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study
OBJECTIVE: The aims of this study were to describe distributions of the prevalence of osteopenia and osteoporosis and identify the potential risk factors by gender in a Chinese rural population. DESIGN: A cross-sectional survey. SETTING AND PARTICIPANTS: A total of 8475 participants (18–79 years) we...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044856/ https://www.ncbi.nlm.nih.gov/pubmed/31932385 http://dx.doi.org/10.1136/bmjopen-2018-028593 |
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author | Qiao, Dou Liu, Xiaotian Tu, Runqi Zhang, Xia Qian, Xinling Zhang, Haiqing Jiang, Jingjing Tian, zhongyan Wang, Yan Dong, Xiaokang Luo, Zhicheng Liu, Xue Tian, Huiling Zhang, Gongyuan Pan, Jun Wang, Chongjian |
author_facet | Qiao, Dou Liu, Xiaotian Tu, Runqi Zhang, Xia Qian, Xinling Zhang, Haiqing Jiang, Jingjing Tian, zhongyan Wang, Yan Dong, Xiaokang Luo, Zhicheng Liu, Xue Tian, Huiling Zhang, Gongyuan Pan, Jun Wang, Chongjian |
author_sort | Qiao, Dou |
collection | PubMed |
description | OBJECTIVE: The aims of this study were to describe distributions of the prevalence of osteopenia and osteoporosis and identify the potential risk factors by gender in a Chinese rural population. DESIGN: A cross-sectional survey. SETTING AND PARTICIPANTS: A total of 8475 participants (18–79 years) were obtained from the Henan Rural Cohort Study. Bone mineral density (BMD) of the calcaneus for each individual was measured by ultrasonic bone density apparatus. Logistic regression models were used to evaluate associations of potential risk factors with prevalence of osteopenia and osteoporosis. Furthermore, a meta-analysis of prevalence of osteoporosis which included eight studies was conducted to confirm this study results. RESULTS: The mean of BMD were 0.42 and 0.32 g/cm(2) for men with osteopenia and osteoporosis (p<0.001), as well as 0.40 and 0.30 g/cm(2) (p<0.001) for women with osteopenia and osteoporosis, respectively. The overall age-standardised prevalence of osteopenia and osteoporosis were 42.09% and 11.76% in all participants. The age-standardised prevalence of osteopenia in men (45.98%) was significantly higher than that in women (39.73%), whereas the age-standardised prevalence of osteoporosis in men (7.82%) was lower than that in women (14.38%). Meta-analysis results displayed pooled prevalence of osteoporosis of 18.0% (10.1%–25.8%) in total sample, 7.7% (5.7%–9.7%) in men and 22.4% (17.1%–27.6%) in women. Multivariable logistic regression models showed that ageing, women, low education level or income, drinking or underweight was related to increased risk for osteopenia or osteoporosis. CONCLUSIONS: About one-sixth of the participants suffered osteoporosis in rural China, and the prevalence in women was higher than men. Although the results were lower than that of meta-analysis, osteoporosis still accounts for huge burden of disease in rural population due to limited medical service and lack of health risk awareness rather than urban area. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Registry (ChiCTR-OOC-15006699; Pre-results). |
format | Online Article Text |
id | pubmed-7044856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-70448562020-03-09 Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study Qiao, Dou Liu, Xiaotian Tu, Runqi Zhang, Xia Qian, Xinling Zhang, Haiqing Jiang, Jingjing Tian, zhongyan Wang, Yan Dong, Xiaokang Luo, Zhicheng Liu, Xue Tian, Huiling Zhang, Gongyuan Pan, Jun Wang, Chongjian BMJ Open Epidemiology OBJECTIVE: The aims of this study were to describe distributions of the prevalence of osteopenia and osteoporosis and identify the potential risk factors by gender in a Chinese rural population. DESIGN: A cross-sectional survey. SETTING AND PARTICIPANTS: A total of 8475 participants (18–79 years) were obtained from the Henan Rural Cohort Study. Bone mineral density (BMD) of the calcaneus for each individual was measured by ultrasonic bone density apparatus. Logistic regression models were used to evaluate associations of potential risk factors with prevalence of osteopenia and osteoporosis. Furthermore, a meta-analysis of prevalence of osteoporosis which included eight studies was conducted to confirm this study results. RESULTS: The mean of BMD were 0.42 and 0.32 g/cm(2) for men with osteopenia and osteoporosis (p<0.001), as well as 0.40 and 0.30 g/cm(2) (p<0.001) for women with osteopenia and osteoporosis, respectively. The overall age-standardised prevalence of osteopenia and osteoporosis were 42.09% and 11.76% in all participants. The age-standardised prevalence of osteopenia in men (45.98%) was significantly higher than that in women (39.73%), whereas the age-standardised prevalence of osteoporosis in men (7.82%) was lower than that in women (14.38%). Meta-analysis results displayed pooled prevalence of osteoporosis of 18.0% (10.1%–25.8%) in total sample, 7.7% (5.7%–9.7%) in men and 22.4% (17.1%–27.6%) in women. Multivariable logistic regression models showed that ageing, women, low education level or income, drinking or underweight was related to increased risk for osteopenia or osteoporosis. CONCLUSIONS: About one-sixth of the participants suffered osteoporosis in rural China, and the prevalence in women was higher than men. Although the results were lower than that of meta-analysis, osteoporosis still accounts for huge burden of disease in rural population due to limited medical service and lack of health risk awareness rather than urban area. TRIAL REGISTRATION NUMBER: Chinese Clinical Trial Registry (ChiCTR-OOC-15006699; Pre-results). BMJ Publishing Group 2020-01-12 /pmc/articles/PMC7044856/ /pubmed/31932385 http://dx.doi.org/10.1136/bmjopen-2018-028593 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Epidemiology Qiao, Dou Liu, Xiaotian Tu, Runqi Zhang, Xia Qian, Xinling Zhang, Haiqing Jiang, Jingjing Tian, zhongyan Wang, Yan Dong, Xiaokang Luo, Zhicheng Liu, Xue Tian, Huiling Zhang, Gongyuan Pan, Jun Wang, Chongjian Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title | Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title_full | Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title_fullStr | Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title_full_unstemmed | Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title_short | Gender-specific prevalence and influencing factors of osteopenia and osteoporosis in Chinese rural population: the Henan Rural Cohort Study |
title_sort | gender-specific prevalence and influencing factors of osteopenia and osteoporosis in chinese rural population: the henan rural cohort study |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044856/ https://www.ncbi.nlm.nih.gov/pubmed/31932385 http://dx.doi.org/10.1136/bmjopen-2018-028593 |
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