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Objective To investigate the prevalence and risk predictors of depressive tendency in type 2 diabetic patients with peripheral neuropathy.Methods From May 2017 to December 2017,150 diabetic patients with peripheral neuropathy and 150 diabetic patients without peripheral neuropathy in the First Affiliated Hospital of Harbin Medical University were collected.The general clinical data,including age,sex,diabetic duration,height,weight,body mass index (BMI),fasting blood glucose (FBG),fasting insulin (FINS),homeostasis modal assessment-insulin resistance index(HOMA-IR),glycated hemoglobin(HbA1c),blood lipid and blood pressure were collected.The motor nerve and sensory nerve conduction velocity of lower limbs were measured by electromyograph.Zung depression self-rating scale(SDS) was used for self-rating of depression syndrome.Results There were 46 cases(30.67％) suffered from depression(SDS ＞50) in the neuropathic group,and 25 cases(16.67％) suffered from depression in the non-neuropathic group.The incidence rate of depression in the neuropathic group was significantly higher than that in the non-neuropathic group and tended to be severe (x2 =12.732,P =0.005).Non-conditional Logistic multivariate stepwise regression analysis showed that sex,the course of diabetes and low density lipoprotein (LDL) were associated with depressive tendency (x2 =3.994,P =0.049;x2 =5.334,P =0.032;x2 =6.172,P =0.020).Conclusion The prevalence of depression in diabetic patients with peripheral neuropathy is higher and tends to be severe.Sex,the course of diabetes and LDL are risk factors of depressive tendency.
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Objective@#To explore the risk factors associated with depression in type 2 diabetes mellitus (T2DM) patients with erectile dysfunction (DMED).@*Methods@#A total of 60 male DMED patients in Kangning Hospital Affiliated to Wenzhou Medical University were enrolled.They were divided into group A (DMED with depression, 40 cases) and group B (DMED without depression, 20 cases) according to the results of self-rating depression scale (SDS). The comorbidity rate of DMED and depression was calculated.Baseline index, blood glucose control index, sex hormone index and blood lipid biochemical index were compared between the two groups.Pearson correlation analysis was used to judge the correlation between SDS scale scores and the indicators.Finally, these indicators were substituted into logistic regression analysis to find out the factors that may cause the comorbidity of DMED and depression.@*Results@#The age of the patients in group A was older than that in group B[(55.95±6.33)years vs.(44.15±5.08)years, t=7.242, P=0.000], the course of T2DM in group A was longer than that in group B [(10.28±0.94)years vs.(4.38±0.60)years, t=29.467, P=0.000]. The fast plasma glucose (FPG)[(10.24±1.55)mmol/L vs.(8.22±1.15)mmol/L, t=5.153, P=0.000], fasting insulin (FIns) [(21.34±2.58)mU/L vs.(17.35±2.13)mU/L, t=5.967, P=0.000] and glycosylated hemoglobin (HbAlc) [(8.75±1.05)% vs.(6.55±0.84)%, t=8.146, P=0.000] in group A were higher than those in group B. Testosterone (TT) level in group A was lower than that in group B [(1.89±0.24)ng/mL vs.(2.46±0.31)ng/mL, t=-7.855, P=0.000]. The luteinizing hormone (LH) [(12.95±1.14)U/L vs.(8.53±0.70)U/L, t=18.515, P=0.000] and follicle-stimulating hormone (FSH) [(19.55±1.83)U/L vs.(15.40±1.47)U/L, t=8.808, P=0.000] in group A were higher than those in group B. Pearson analysis showed that the SDS scale score was positively correlated with age, T2DM duration, FPG, Fins, HbAlc, LH, FSH (r=0.310, 0.503, 0.465, 0.583, 0.676, 0.355, 0.540, P=0.002, 0.008, 0.017, 0.022, 0.030, 0.026, 0.011), and negatively correlated with TT level (r=-0.713, P=0.028). Logistic regression analysis showed that the age, the course of T2DM and TT were the independent risk factors which caused the comorbidity of DMED and depression.@*Conclusion@#In male T2DM patients, the independent risk factors for DMED with depression are age, long duration, and low TT level.
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BACKGROUND: Improvement of the quality of life (QOL) for children with epilepsy is one of the most important therapeutic goals. It is widely acknowledged that in adults with epilepsy one of the best QOL predictors is psychiatric comorbidity. In children with epilepsy, however, it is not clear whether psychiatric comorbidity impairs QOL. AIMS: The aim of this study was to evaluate QOL in children with epilepsy and to identify the strongest predictors of the same. METHODS: A total of 28 enrolled patients completed the Questionnaire for Measuring Health-Related Quality of Life in Children (KINDL-R) and 3 assessments of clinical status: the Depression Self-Rating Scale for Children (DSRS-C), the Children Manifest Anxiety Scale (CMAS), and the Side Effects and Life Satisfaction (SEALS). Various demographic and clinical factors were analyzed as possible predictors of KINDL-R scores. RESULTS: The strongest predictor of QOL was the total DSRS-C score (r = -0.69, p < 0.01), which also predicted physical (r = -0.58, p < 0.01) and emotional wellbeing (r = -0.53, p < 0.05) subscale scores. CONCLUSIONS: Symptoms of depression were more predictive of QOL than were seizure type, seizure duration, number and adverse effects of AEDs, or anxiety. Number of AEDs did have an effect, just not as prominent as symptoms of depression.