scholarly journals Clinical and sociodemographic variables associated with diabetes-related distress in patients with type 2 diabetes mellitus

2016 ◽  
Vol 14 (3) ◽  
pp. 346-351 ◽  
Author(s):  
Flávia Cristina Zanchetta ◽  
Danilo Donizetti Trevisan ◽  
Priscila Peruzzo Apolinario ◽  
Juliana Bastoni da Silva ◽  
Maria Helena de Melo Lima

ABSTRACT Objective: To evaluate the relation between diabetes-related distress and the clinical and sociodemographic characteristics of type 2 diabetes mellitus patients. Methods: A cross-sectional study based on a secondary analysis of data collected at a specialized care outpatient center in Brazil. Participants completed a questionnaire on sociodemographic and clinical characteristics and the Brazilian version of the Diabetes Distress Scale (B-DDS). Results: About 31% of the 130 eligible patients reported diabetes distress, and the mean B-DDS score was 2.6. Multiple regression analysis showed the B-DDS score was positively correlated with marital status (p=0.0230), use of diet and physical activities for diabetes management (p=0.0180), and use of insulin therapy (p=0.0030). The “emotional burden”, “regimen-related distress”, and “interpersonal distress” domains from B-DDS were associated with the use of insulin therapy (p=0.0010), marital status (p=0.0110), and the presence of three or more comorbidities (p=0.0175). Conclusion: These findings suggest the clinical and sociodemographic variables are relatively weak predictors of diabetes-related distress. The highest scores in the B-DDS were observed in the emotional burden domain, indicating the presence of diabetes distress among the participants of the study.

2021 ◽  
pp. 263501062110144
Author(s):  
Lisa Summers-Gibson

Purpose The purpose of this study was to examine the relationships between and among diabetes self-care, diabetes time management, and diabetes distress in women with type 2 diabetes mellitus (T2DM). Methods A descriptive correlational design with a total of 188 participants completed 3 valid and reliable instruments to measure the main study variables, the Diabetes Self-Management Questionnaire, the Diabetes Time Management Questionnaire, and the Diabetes Distress Scale, in an uncontrolled, natural setting using mix-mode surveys (electronic and paper). Survey responses were analyzed using several descriptive, bivariate, and multivariate analyses. Results Diabetes time management was the strongest, statistically significant, unique contributor to explaining self-care. The regression model showed that diabetes time management demonstrated a large effect size and that diabetes distress demonstrated a small effect size. Conclusions The 2 predictor variables among diabetes self-care in women showed diabetes time management had a stronger effect size compared to diabetes distress. This is the first known study to measure the influence of diabetes time management on diabetes self-care and to examine the relationship between and among diabetes time management and diabetes distress. Diabetes time management, an understudied variable in individuals with T2DM, has the potential to be a contributor to improve patient outcomes.


2020 ◽  
pp. 105477382095193
Author(s):  
Qian-Qian Yang ◽  
Ji-Wei Sun ◽  
Di Shao ◽  
Hui-Hui Zhang ◽  
Cai-Feng Bai ◽  
...  

This study investigated the association between diabetes complications, diabetes distress, and depressive symptoms in patients with type 2 diabetes mellitus. A total of 600 patients with type 2 diabetes mellitus were included in this study. Data were collected using the Diabetes Distress Scale and the nine-item Patient Health Questionnaire. The results showed that both diabetes complications and diabetes distress were positively associated with depressive symptoms, and diabetes distress attenuated the association between diabetes complications and depressive symptoms. The Sobel test confirmed the mediating effect of diabetes distress. Patients with both diabetes complications and diabetes distress had a higher risk of depressive symptoms than those with diabetes complications or diabetes distress alone. This study indicates that the positive association between diabetes complications and depressive symptoms is persistent and mediated by diabetes distress, and the comorbidity of diabetes complications and diabetes distress has an additive interaction effect on depressive symptoms.


2019 ◽  
Vol 25 (9) ◽  
pp. 951-965 ◽  
Author(s):  
Yanxiaoxiao Yang ◽  
Bo Xie ◽  
Changping Ju ◽  
Hui Jin ◽  
Xiuli Ye ◽  
...  

Objective: Comorbidity of diabetes and depression is a critical problem. Decreased glial-derived neurotrophic factor (GDNF) has been demonstrated in depression, but no evidence of a relationship between GDNF and diabetes has been shown. The present studies were designed to investigate the relationship between GDNF and metabolism. Methods: In Study 1, we performed a case-control study in which subjects with type 2 diabetes mellitus (T2DM), prediabetes (p-DM), and normal glucose tolerance (NGT) were included. In Study 2, we performed a cross-sectional study in 296 patients having pre-existing diabetes in whom the levels of serum GDNF, blood glucose, blood lipids, blood pressure, body mass index, scores from the Patient Health Questionnaire (PHQ-9), the EuroQol-5 scale, and the diabetes distress scale were measured, as well as single-nucleotide polymorphisms of GDNF including rs884344, rs3812047, and rs2075680. Results: In Study 1, serum GDNF concentration was significantly lower in the T2DM group than in the NGT group (NGT: 11.706 ± 3.918 pg/mL; p-DM: 10.736 ± 3.722 pg/mL; type 2 diabetes mellitus [T2DM group]: 9.884 ± 2.804 pg/mL, P = .008). In Study 2, significantly decreased serum GDNF levels were observed in subjects with poor glycemic control or depression (glycated hemoglobin [HbA1c] <7.0% without depression: 11.524 ± 2.903 pg/mL; HbA1c ≥7.0% without depression: 10.625 ± 2.577 pg/mL; HbA1c <7.0% with depression: 10.355 ± 2.432 pg/mL; HbA1c ≥7.0% with depression: 8.824 ± 2.102 pg/mL, P = .008). Double-factor variance analysis showed that glycemic control and depression were independent factors for the GDNF level. Moreover, the serum GDNF level was significantly inversely associated with the fasting plasma glucose, 2 hours postprandial plasma glucose, HbA1c, and PHQ-9 score. Conclusion: Glycemic dysregulation was an independent factor for the GDNF level. These findings suggest that GDNF level might be involved in the pathophysiology of T2DM and depression through various pathways. Abbreviations: BP = blood pressure; CHO = cholesterol; DDS = diabetes distress scale; DM = diabetes mellitus; EQ-5D = the health-related dimensions of the EuroQol-5 scale; FPG = fasting plasma glucose; GDNF = glial-derived neurotrophic factor; HbA1c = glycated hemoglobin; HDL = high-density lipoprotein; LDL = low-density lipoprotein; NGT = normal glucose tolerance; PHQ-9 = Patient Health Questionnaire; p-DM = prediabetes; PPG = postprandial plasma glucose; SNP = single-nucleotide polymorphism; T2DM = type 2 diabetes mellitus; TG = triglyceride


Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 112-LB ◽  
Author(s):  
RONAN ROUSSEL ◽  
SANTIAGO DURAN-GARCIA ◽  
YILONG ZHANG ◽  
SUNERI SHAH ◽  
CAROLYN DARMIENTO ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. e020062 ◽  
Author(s):  
Xiaosu Bai ◽  
Zhiming Liu ◽  
Zhisen Li ◽  
Dewen Yan

ObjectivesSeveral patients with type 2 diabetes mellitus (T2DM) have depressive disorders. Whether insulin treatment was associated with increased risk of depression remains controversial. We performed a meta-analysis to evaluate the association of insulin therapy and depression.DesignA meta-analysis.MethodsWe conducted a systematic search of PubMed, PsycINFO, Embase and the Cochrane Library from their inception to April 2016. Epidemiological studies comparing the prevalence of depression between insulin users and non-insulin users were included. A random-effects model was used for meta-analysis. The adjusted and crude data were analysed.ResultsTwenty-eight studies were included. Of these, 12 studies presented with adjusted ORs. Insulin therapy was significantly associated with increased risk of depression (OR=1.41, 95% CI 1.13 to 1.76, p=0.003). Twenty-four studies provided crude data. Insulin therapy was also associated with an odds for developing depression (OR=1.59, 95% CI 1.41 to 1.80, p<0.001). When comparing insulin therapy with oral antidiabetic drugs, significant association was observed for adjusted (OR=1.42, 95% CI 1.08 to 1.86, p=0.008) and crude (OR=1.61, 95% CI 1.35 to 1.93, p<0.001) data.ConclusionsOur meta-analysis confirmed that patients on insulin therapy were significantly associated with the risk of depressive symptoms.


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