| Objective To investigate the quality of life (QOL) of elderly patients with osteoporosis (OP) in Haikou and analyze its risk factors, so as to provide evidence for improving the quality of life of OP patients. Methods A questionnaire survey was conducted among 904 elderly OP patients in Haikou to collect data on their quality of life. Multivariate logistic regression analysis was used to analyze the influencing factors of quality of life in elderly OP patients. ROC curve was applied to evaluate the prediction effect of logistic regression model. Results Comparison of quality of life scores of different sex, age, living condition, labor type, BMI, course of disease, sleep condition, family economic condition, fracture history, daily exercise time, joint pain and hump back condition, the differences were statistically significant (P<0.01). Multivariate logistic regression analysis showed that age (OR=2.604, 95% CI: 1.702-3.913), course of disease (OR=5.205, 95% CI: 3.705-8.614), family economic status (OR=2.411, 95% CI: 1.518-3.361), daily exercise time (OR=4.216, 95% CI: 3.102-6.104), joint pain (OR=7.115, 95% CI: 5.283-13.726), and hump (OR=5.702, 95% CI:4.108-8.263) were risk factor that affects the quality of life in elderly OP patients. ROC curve was used to evaluate logistic regression model, and its AUC (95% CI) were 0.925 (0.861-0.984). Conclusion The quality of life of elderly OP patients in Haikou is low, and there are many risk factors affecting their quality of life. Effective intervention measures should be taken to improve the quality of life of OP patients. |