Differences in the prevalence and risk factors of osteoporosis in chinese urban and rural regions: a cross-sectional study

Bone mineral density (BMD) and prevalence of osteoporosis may differ between urban and rural populations. This study aimed to investigate the differences in BMD characteristics between urban and rural populations in Jiangsu, China. A total of 2,711 participants aged 20 years and older were included...

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Veröffentlicht in:BMC musculoskeletal disorders 2023-01, Vol.24 (1), p.46-46, Article 46
Hauptverfasser: Zheng, Miao, Wan, Yanan, Liu, Gongwen, Gao, Yan, Pan, Xiaoqun, You, Wanxi, Yuan, Donglan, Shen, Jianxin, Lu, Junhua, Wang, Xia, Zheng, Gangfeng, Han, Zhiqiang, Li, Xinlin, Chen, Kai, Xing, Xiaoxi, Zhang, Dong, Weng, Chengwei, Wei, Qi, Zhang, Yongqing, Lin, Hua
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Sprache:eng
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Zusammenfassung:Bone mineral density (BMD) and prevalence of osteoporosis may differ between urban and rural populations. This study aimed to investigate the differences in BMD characteristics between urban and rural populations in Jiangsu, China. A total of 2,711 participants aged 20 years and older were included in the cross-sectional study. Multistage and stratified cluster random sampling was used as the sampling strategy. BMD was measured by the method of dual-energy x-ray absorptiometry (DXA). Data were collected through questionnaires/interview. BMD values at the lumbar spine (L1-L4), femoral neck, total hip, and greater trochanter were collected. Descriptive statistics were used to demonstrate the characteristics of urban and rural participants. Multivariate logistic regression analysis was utilized to analyze the factors that may be associated with osteoporosis in urban and rural populations. Of these participants, 1,540 (50.49%) were females and 1,363 (42.14%) were from urban. The prevalence of osteoporosis in urban and rural populations was 5.52% and 10.33%, respectively. In terms of gender, the prevalence of osteoporosis was 2.68% in males and 13.82% in females. For menopausal status, the prevalence of osteoporosis was 30.34% in postmenopausal females and 4.78% in premenopausal females. In urban populations, older age [adjusted odds ratio (AOR) = 2.36, 95%CI, 2.35-2.36), hypertension (AOR = 1.37, 95%CI, 1.36-1.37), unmarried (AOR = 4.04, 95%CI, 3.99-4.09), smoking everyday (AOR = 2.26, 95%CI, 2.23-2.28), family history of osteoporosis (AOR = 1.66, 95%CI, 1.65-1.67), dyslipidemia (AOR = 1.05, 95%CI, 1.04-1.05), and higher β-crosslaps (β-CTX) level (AOR = 1.02, 95%CI, 1.02-1.02) were associated with an increased risk of osteoporosis, while males (AOR = 0.04, 95%CI, 0.04-0.04), higher education level (AOR = 0.95, 95%CI, 0.95-0.95), and aquatic product intake (AOR = 0.99, 95%CI, 0.99-0.99) were related to decreased risk of osteoporosis. Similar results were also observed in rural populations, and (all P 
ISSN:1471-2474
1471-2474
DOI:10.1186/s12891-023-06147-w