Predictive factors and risk model for depression in patients with type 2 diabetes mellitus: a comprehensive analysis of comorbidities and clinical indicators

Frontiers in Endocrinology, Год журнала: 2025, Номер 16

Опубликована: Март 5, 2025

Depression is highly prevalent among individuals with type 2 diabetes mellitus (T2DM), often compounded by multiple chronic conditions. This study aimed to identify the key factors influencing depression in this population, a particular focus on relationship between Cumulative Illness Rating Scale (CIRS) score and depression, evaluate predictive value of model incorporating sex, body mass index (BMI), low-density lipoprotein cholesterol (LDL-C), CIRS score. A total 308 hospitalized patients from Quzhou Hospital, Wenzhou Medical University were enrolled. Their clinical biochemical data collected, alongside assessments comorbidities depressive symptoms using Self-Rating (SDS), respectively. LASSO regression 10-fold cross-validation was used optimal variables for model. Multivariate analysis performed assess independent associations BMI, LDL-C, depression. The scores further explored across various subgroups. model's assessed through ROC curve analysis. Female sex (OR: 2.48, 95% CI: 1.50-4.10, p < 0.001), lower BMI 0.92, 0.86-0.98, = 0.015), LDL-C 0.77, 0.61-0.98, 0.031), higher 1.11, 1.05-1.18, 0.001) independently linked after adjusting variables. strong association observed, particularly males, under 60 years old, those disease duration less than 5 years, no history smoking or alcohol consumption. Additionally, demonstrated high accuracy identifying at risk Female, associated diabetes. appeared be more effective predicting people who male, younger, shorter DM duration, drinking. comprehensive prediction could help clinicians are

Язык: Английский

Association between depression and osteoporosis in a population of cancer survivors: results from the NHANES 2005–2020

Frontiers in Medicine, Год журнала: 2025, Номер 12

Опубликована: Апрель 22, 2025

Introduction Depressive symptoms and the severity of osteoporosis in cancer survivors significantly affect patient’s quality life. The correlation between depressive this population has not been examined prior studies. This cross-sectional study utilized National Health Nutrition Examination Survey data from 2005 to 2020 explore patients. Method We confounder-adjusted multivariate logistic regression models examine relationship symptoms. Subgroup interaction analyses were performed according age gender detect potential differences among various demographic groups. Furthermore, smoothing curve fitting subgroup employed evaluate nonlinear association bone mineral density symptom scores. Results Two thousand one hundred fifty-five adult patients satisfied inclusion exclusion criteria recruited research. Statistical analysis demonstrated a significant negative risk developing after controlling for multiple variables [OR 0.57, 95% CI (0.46–0.70), p &lt; 0.01]. revealed more pronounced associations women 0.18, (0.12–0.27), 0.01] older adults 0.09, (0.06–0.13), smooth results displayed W-shaped was especially prominent analyses. Discussion demonstrates incidence survivors, notably evident elderly female populations. Our research addresses depressed revealing that may alleviate psychological distress enhance life population. Conclusion A patients, particularly survivors. Additionally, observed depression scores, with greater significance group.

Язык: Английский

Development and validation of a nomogram for predicting depression risk in patients with chronic kidney disease based on NHANES 2005–2018

Journal of Health Population and Nutrition, Год журнала: 2025, Номер 44(1)

Опубликована: Апрель 25, 2025

Язык: Английский