Depression in middle-aged and older adults with hearing loss: the use and construction of a nomogram tool

This study aims to explore the influencing factors of depressive symptoms in middle-aged and older adult patients with hearing loss and to construct a nomogram risk prediction model. A total of 2,729 middle-aged and older adult patients with hearing loss from the community were selected as the study subjects. Single-factor and multifactorial stepwise logistic regression analyses were used to screen influencing factors. Based on these predictive factors, a nomogram prediction model was constructed. The model's efficacy was validated using the area under the receiver operating characteristic curve (AUC) and 1,000 bootstrap resamples. Multifactorial logistic regression analysis revealed that age, gender, pain, cognitive abilities, daily living abilities, sleep duration, and self-rated health status are the main influencing factors for depressive symptoms. Based on these factors, the constructed nomogram model demonstrated good calibration (χ = 3.367, = 0.909), with an AUC value of 0.741 (95% CI: 0.723-0.759), and a sensitivity of 0.683, showing good discriminative ability and accuracy. The incidence of depressive symptoms is relatively high among middle-aged and older adult individuals with hearing loss. The model developed in this study can effectively identify middle-aged and older adult patients with hearing loss who are at risk of depressive symptoms. This provides strong empirical support for the early detection, diagnosis, and intervention of depressive symptoms in middle-aged and older adult patients with hearing loss.