Prevalence of osteoporosis and its influence factors in monitored population in Chongqing
10.3969/j.issn.1006-2483.2022.01.019
- VernacularTitle:重庆市监测人群骨质疏松症患病率及其影响因素分析
- Author:
Xuanxuan YANG
1
;
Xianbin DING
1
;
Wenge TANG
1
;
Deqiang MAO
1
;
Can LI
2
;
Liling CHEN
1
Author Information
1. Institute for Chronic Non-communicable Disease Prevention and Control,Chongqing Center for Disease Control and Prevention , Chongqing 400042,China
2. Third Military Medical University, Center for osteoporosis and bone development , Chongqing 400042,China
- Publication Type:Journal Article
- Keywords:
Osteoporosis;
Prevalence;
Influencing factor
- From:
Journal of Public Health and Preventive Medicine
2022;33(1):90-94
- CountryChina
- Language:Chinese
-
Abstract:
Objective To understand the prevalence of osteoporosis and its influence factors in residents of Chongqing, and to provide the reference for osteoporosis prevention and treatment. Methods The data were from “An epidemiological survey of osteoporosis in Chongqing in 2018”, and the multi-stage stratified cluster random sampling method was used to select 1885 subjects (≥20 years old) from 32 villages/neighborhood committee in 4 areas (countries) of Chongqing. The investigation was performed by questionnaire (sociodemographic factors, lifestyle factors, history of orthopedics) and the bone mineral density was measured by QDR 4 500A dual energy X-ray absorptiometry. The chi-square test and multi factor multi-variant logistic regression analysis were utilized to analyze the data, the used software was SPSS 25.0. Results The morbidities of osteoporosis and osteopenia in residents (>20 years old) of Chongqing in China were 12.99% and 48.70%, respectively. The osteoporosis morbidity (19.08%) in females was significantly higher than that (4.42%) in males, and increased with age. The multi-variant logistic regression indicated that women (OR=6.10, 95% CI:4.08-9.14), the past medical history of fracture (OR=1.79, 95%CI:1.18-2.73) and age (OR=16.80, 95% CI:9.19-30.77) were risk factors for osteoporosis; milk intake (OR=0.65, 95%CI:0.47-0.89), overweight (OR=0.51, 95%CI:0.36-0.93)and obesity (OR=0.30, 95%CI:0.19-0.47), as compared with ≤primary school group, junior high school group (OR=0.57, 95%CI:0.39-0.82);≥high school group (0.40, 95%CI:0.26-0.61) were considered to be protective factors for osteoporosis. Conclusion The prevalence of osteoporosis among residents with age above 50 years old of Chongqing was very high. Health education and behavior intervention should be focused on the elderly or female residents to promote the formulation of healthy lifestyle.