Logistic regression analysis of risk factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism.

We sought to explore the risk factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism through logistic regression analysis. A retrospective analysis was conducted on 168 patients with coronary heart disease and subclinical hypothyroidism admitted to the Department of Cardiology of our hospital from February 2020 to November 2022. Patients were categorized into the control group, anxiety group, and depression group based on the Hamilton Anxiety Scale (HAMA) and Hamilton Depression Rating Scale (HAMD) scores. All participants were informed about the protocol and provided signed informed consent upon inclusion. The study examined influencing factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism. Collect patients' gender, age, presence or absence of chronic diseases (including Diabetes, hypertension and hyperthyroidism), sleep quality, dietary habits, psychosocial stress, living environment, social support, education level, and blood TSH levels. The linear relationship between anxiety, depression, and each influencing factor was quantified using the Pearson correlation coefficient. Blood level of TSH and free T4 were detected by chemiluminescence immunoassay. Multiple logistic regression was applied to analyze the factors influencing anxiety and depression in these patients. Various factors were identified as significant influencers of anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism. For anxiety, presence or absence of chronic diseases, sleep quality, dietary habits, psychosocial pressure, living environment, and blood TSH levels were found to be influential (P < 0.05). Similarly, for depression, presence or absence of chronic diseases, sleep quality, social support, quality of life, social support, education level, and blood TSH levels were identified as significant factors (P < 0.05). The study revealed positive correlations between presence or absence of chronic diseases, psychosocial stress, and TSH levels with anxiety symptoms in patients with coronary heart disease and subclinical hypothyroidism (P < 0.05). Conversely, sleep quality, dietary patterns, and living environment showed negative correlations with anxiety symptoms (P < 0.05).Gender and age had no correlation with anxiety levels (P > 0.05). Presence or absence of chronic diseases and TSH levels were positively correlated with depressive symptoms in patients with coronary heart diseaseand subclinical hypothyroidism (P < 0.05). On the other hand, sleep quality, social support, quality of life, and educational level were negatively correlated with anxiety symptoms (P < 0.05). Gender and age had no correlation with depression (P > 0.05). Notably, TSH levels in both the anxiety and depression groups were higher than those in the control group (P < 0.05), with no significant difference in free T4 levels among the groups (P > 0.05). The combination of chronic illness types, living habits (sleep quality, dietary habits), psychosocial pressure, living environment, and TSH levels emerged as risk factors for anxiety in patients with coronary heart disease and subclinical hypothyroidism (P < 0.05). Similarly, the combination of chronic illness types, sleep quality, social support, quality of life, education level, and TSH levels were identified as risk factors for depression in these patients (P < 0.05). This logistic regression analysis underscores the significant impact of factors such as types of chronic illness, sleep quality, social support, living environment, education level, and TSH levels on anxiety and depression symptoms in patients with coronary heart disease and subclinical hypothyroidism. These findings highlight the importance of considering these multiple risk factors collectively when devising treatment and management strategies to reduce the risk of mental health issues in this patient population.