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1.
Ann Transl Med ; 10(3): 134, 2022 Feb.
Article in English | MEDLINE | ID: mdl-35284558

ABSTRACT

Background: To explore the contribution of type 2 diabetes mellitus (T2DM) to hypothalamic inflammation and depressive disorders in young patients with obesity. Methods: According to the diagnostic criteria for T2DM, all of patients with obesity were divided into the diabetic and the non-diabetic groups. The severity of depressive disorders was assessed by self-rating depression scale (SDS). The signal intensity (SI) ratio of the T2-weighted phase of the superior hypothalamus/amygdala (H/A) was measured using a quantitative magnetic resonance imaging (MRI) technique to evaluate hypothalamic inflammation. Univariate and multivariate logistic regression analysis was used to find the influencing factors of depressive disorder. The prediction equation's sensitivity and specificity for the depressive disorder were calculated based on the receiver operating characteristic (ROC) curve. Results: In young patients with obesity and diabetes, the incidence of depression is 79.49%, which was much higher than that in patients without diabetes (P<0.001). The SI of the left H/A in young patients with obesity and diabetes is significantly higher than that in non-diabetic patients (P<0.001). The relative risks of depression are fasting blood glucose (FBG) (OR 1.60; CI: 1.26-2.05), HbA1c (OR 1.94; CI: 1.40-2.68) and triglycerides (OR 1.40; CI: 1.03-1.90). Only FBG enters the predictive equation for depressive disorder, with a 52.8% sensitivity and 84.5% specificity. Conclusions: In young diabetic patients with obesity, the incidence of depressive disorder is high, a mechanism possibly related to the left hypothalamus inflammation. Elevated FBG can be an independent predictor of depressive disorder in young patients with obesity.

2.
Ann Palliat Med ; 10(7): 8043-8050, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34353089

ABSTRACT

BACKGROUND: To investigate the incidence of anxiety and depressive disorders in young adults with obesity and the correlation between the severity of these disorders and hypothalamic inflammation. METHODS: The severity of anxiety and depressive disorders was assessed using the Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), respectively. Hypothalamic inflammation was evaluated by measuring the hypothalamus/amygdala (H/A) signal intensity (SI) ratio in T2-weighted phase quantitative magnetic resonance imaging (MRI). RESULTS: The incidence of depressive disorders in young (18-45 years) patients with obesity (n=66) was higher than that in the control group (n=44); anxiety disorder incidence did not differ significantly between groups. The bilateral H/A SI ratio in the obesity group was significantly higher than that in the control group. In the obesity group, there was no significant correlation between bilateral H/A SI ratio and body mass index (BMI) (right: r=-0.145, P=0.721; left: r=0.102, P=0.415) or SAS scores (right: r=-0.118, P=0.444; left: r=-0.295, P=0.052); SDS scores were significantly correlated with left H/A SI ratio (r=-0.353, P=0.019), but not right H/A SI ratio (r=-0.031, P=0.843). CONCLUSIONS: Patients with obesity had a higher incidence of depressive disorders. Left hypothalamus inflammation may be one of the links between obesity and depressive disorders.


Subject(s)
Anxiety , Depression , Anxiety Disorders , Humans , Hypothalamus , Inflammation/diagnostic imaging , Obesity , Young Adult
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