| Objective To investigate the incidence of osteoporosis with common geriatric syndromes in elderly people aged 65 and above, and to analyze its related risk factors and risk prediction. Methods From September 1, 2019 to September 31, 2024, 695 patients aged 65 and above who were hospitalized in the Geriatric Center of People’s Hospital of Xinjiang Uygur Autonomous Region were retrospectively analyzed. According to whether they were diagnosed with osteoporosis, the subjects were divided into osteoporosis group (n=192 cases) and non-osteoporosis group (n=503 cases). The differences of indicators between the two groups were compared. Binary logistic regression was used to analyze the risk factors of osteoporosis. A ROC curve was plotted. The R language was used to construct a nomogram to predict the risk of osteoporosis. Results Binary logistic regression analysis showed that when adjusted for sex and age, gender (OR = 2.81, 95% CI: 1.88-4.20; P = 0.000), CRP, insomnia, chronic ischemic cerebrovascular disease (OR = 1.572, 95% CI: 1.071-2.307; P = 0.021), depression (OR = 1.78, 95% CI: 1.13-2.81; P = 0.013), and frailty (OR = 1.63, 95% CI: 1.03-2.56; P = 0.035) were independent risk factors for osteoporosis. The ratio of C-reactive protein to albumin (CAR), uric acid, and homocysteine were negatively correlated with osteoporosis. The nomogram indicates that among the factors affecting osteoporosis risk, the reduction in CAR carried the highest weight. The ROC curve model had good prediction efficiency. Conclusion Gender, age, CRP, insomnia, chronic ischemic cerebrovascular disease, depression, and frailty are positively correlated with osteoporosis and are independent risk factors for osteoporosis. CAR, uric acid, and homocysteine are negatively correlated with osteoporosis. A nomogram has been constructed, which can be effectively used for preliminary risk prediction of osteoporosis. |