The relationship between depressive symptoms and medication nonadherence in type 2 diabetes: the role of social support

Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality.Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model.Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = −0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = −0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance).Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.

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Social support as a mediator between depressive symptoms and self-care activities in adults patient with type 2 diabetes mellitus

Journal of Public Health Research ◽

10.4081/jphr.2021.2734 ◽

2021 ◽

Author(s):

Pandan Enggarwati ◽

Debie Dahlia ◽

Riri Maria

Keyword(s):

Social Support ◽

Type 2 Diabetes ◽

Depressive Symptoms ◽

Linear Regression ◽

Path Analysis ◽

Multiple Linear Regression ◽

Self Care ◽

Type 2 Dm ◽

The Relationship

Background: People with type 2 DM are at risk of experiencing depression, which in turn can affect their self-care activities. Recent evidence has shown that social support is beneficial in reducing the risk of depression and positively affecting increases in self-care activities. However, the role of social support in the relationship between depressive symptoms and self-care activities has not been studied. This study aims to determine the mediating effects of social support on the relationship between depressive symptoms and self-care activities of people with type 2 DM.Design and methods: A cross-sectional consecutive sampling approach was used with 94 respondents with type 2 diabetes in East Jakarta, Indonesia, who were undergoing diabetes treatments during May–June 2020. The instruments used were the Centre for Epidemiologic Studies-Depression Scale (CES-D), Summary of Diabetes Self Care Activities (SDSCA), and Duke-UNC Functional Social Support Questionnaire (DUFSSQ). All three questionnaires have been tested for validity and reliability. Data analysis was carried out using multiple linear regression, path analysis, and the Sobel test.Results: The results of multiple linear regression analysis on the variables age, sex, education level, socioeconomic status, duration of type 2 DM, and complications of type 2 DM showed that only complications of type 2 diabetes affected self-care activities (p = 0,000; R2 = 0.515). The results of the path analysis and Sobel test showed that social support significantly mediated the effects of the relationship between depressive symptoms and self-care activities (z = -0,162 > table 1.96; direct effect = -0,499; indirect effect = -0,0789; total effect = 40, 3%).Conclusions: Screening for depressive symptoms and interventions involving social support are strongly suggested for patients with type 2 DM who are suspected of showing a decline in self-care activities.

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The role of health behaviors in mediating the relationship between depressive symptoms and glycemic control in type 2 diabetes: a structural equation modeling approach

Social Psychiatry and Psychiatric Epidemiology ◽

10.1007/s00127-009-0043-3 ◽

2009 ◽

Vol 45 (1) ◽

pp. 67-76 ◽

Cited By ~ 32

Author(s):

Ching-Ju Chiu ◽

Linda A. Wray ◽

Elizabeth A. Beverly ◽

Oralia G. Dominic

Keyword(s):

Type 2 Diabetes ◽

Structural Equation Modeling ◽

Depressive Symptoms ◽

Glycemic Control ◽

Health Behaviors ◽

Structural Equation ◽

Equation Modeling ◽

The Relationship

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Mediating role diet self-efficacy plays in the relationship between social support and diet self-management for patients with type 2 diabetes

Archives of Public Health ◽

10.1186/s13690-021-00533-3 ◽

2021 ◽

Vol 79 (1) ◽

Author(s):

Li Yang ◽

Kun Li ◽

Yan Liang ◽

Qiuli Zhao ◽

Dan Cui ◽

...

Keyword(s):

Diabetes Mellitus ◽

Social Support ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Self Efficacy ◽

Self Management ◽

Mediating Role ◽

Diet Behavior ◽

The Relationship

Abstract Background It has previously been established that patients who have strong barriers to their diet self-management are more likely to have weak social support; however, the key mechanisms underlying the association between these two variables have not yet been established. This study aims to examine the potential role that diet self-efficacy plays in the relationship between social support and diet behavior in patients with type 2 diabetes mellitus (T2DM). Methods It was a cross-sectional survey. Three hundred-eighty patients diagnosed with T2DM were recruited for this study from five community health centers in China. The Chronic Disease Resource Scale (CIRS), Cardiac Diet Self-efficacy Scale (CDSE), and Food Control Behavior Scale (FCBS) were used to estimate participants’ utilization of social resources, diet self-efficacy, and diet self-management, respectively. The data were analyzed utilizing structural equation modelling. Results The results suggest that both higher levels of social support and diet self-efficacy are related to higher levels of diet self-management. The mediating effect that diet self-efficacy has on the relationship between social support and diet self-management was significant (β = .30, p < .05), explaining 55.68% of the total effect of social support on diet self-management. Conclusions Diet self-efficacy plays a mediating role in the association between social support and diet behavior in patients with type 2 diabetes mellitus.

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The Relationship Between Social Support and Type 2 Diabetes Risk

Communication Research Reports ◽

10.1080/08824096.2017.1361394 ◽

2017 ◽

Vol 35 (1) ◽

pp. 12-21 ◽

Cited By ~ 2

Author(s):

Kristin G. Maki

Keyword(s):

Social Support ◽

Type 2 Diabetes ◽

Diabetes Risk ◽

The Relationship

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Disparities in the use of a mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocv082 ◽

2015 ◽

Vol 23 (1) ◽

pp. 12-18 ◽

Cited By ~ 46

Author(s):

Lyndsay A Nelson ◽

Shelagh A Mulvaney ◽

Tebeb Gebretsadik ◽

Yun-Xian Ho ◽

Kevin B Johnson ◽

...

Keyword(s):

Type 2 Diabetes ◽

Depressive Symptoms ◽

Medication Adherence ◽

Health Literacy ◽

Low Income ◽

Mhealth Intervention ◽

Lower Health ◽

The Relationship ◽

Lower Health Literacy

Abstract Objective Mobile health (mHealth) interventions may improve diabetes outcomes, but require engagement. Little is known about what factors impede engagement, so the authors examined the relationship between patient factors and engagement in an mHealth medication adherence promotion intervention for low-income adults with type 2 diabetes (T2DM). Materials and Methods Eighty patients with T2DM participated in a 3-month mHealth intervention called MEssaging for Diabetes that leveraged a mobile communications platform. Participants received daily text messages addressing and assessing medication adherence, and weekly interactive automated calls with adherence feedback and questions for problem solving. Longitudinal repeated measures analyses assessed the relationship between participants’ baseline characteristics and the probability of engaging with texts and calls. Results On average, participants responded to 84.0% of texts and participated in 57.1% of calls. Compared to Whites, non-Whites had a 63% decreased relative odds (adjusted odds ratio [AOR] = 0.37, 95% confidence interval [CI], 0.19-0.73) of participating in calls. In addition, lower health literacy was associated with a decreased odds of participating in calls (AOR = 0.67, 95% CI, 0.46-0.99, P = .04), whereas older age ( Pnonlinear = .01) and more depressive symptoms (AOR = 0.62, 95% CI, 0.38-1.02, P = .059) trended toward a decreased odds of responding to texts. Conclusions Racial/ethnic minorities, older adults, and persons with lower health literacy or more depressive symptoms appeared to be the least engaged in a mHealth intervention. To facilitate equitable intervention impact, future research should identify and address factors interfering with mHealth engagement.

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Microbiota, type 2 diabetes and non-alcoholic fatty liver disease: protocol of an observational study

Journal of Translational Medicine ◽

10.1186/s12967-019-02130-z ◽

2019 ◽

Vol 17 (1) ◽

Cited By ~ 1

Author(s):

Benedetta M. Motta ◽

Christoph Grander ◽

Martin Gögele ◽

Luisa Foco ◽

Vladimir Vukovic ◽

...

Keyword(s):

Type 2 Diabetes ◽

Liver Disease ◽

Fatty Liver Disease ◽

Liver Stiffness ◽

Alcoholic Fatty Liver ◽

Study Participants ◽

The Relationship ◽

Alcoholic Fatty Liver Disease

Abstract Background Non-alcoholic fatty liver disease (NAFLD) is characterized by triglyceride accumulation in the hepatocytes in the absence of alcohol overconsumption, commonly associated with insulin resistance and obesity. Both NAFLD and type 2 diabetes (T2D) are characterized by an altered microbiota composition, however the role of the microbiota in NAFLD and T2D is not well understood. To assess the relationship between alteration in the microbiota and NAFLD while dissecting the role of T2D, we established a nested study on T2D and non-T2D individuals within the Cooperative Health Research In South Tyrol (CHRIS) study, called the CHRIS-NAFLD study. Here, we present the study protocol along with baseline and follow-up characteristics of study participants. Methods Among the first 4979 CHRIS study participants, 227 individuals with T2D were identified and recalled, along with 227 age- and sex-matched non-T2D individuals. Participants underwent ultrasound and transient elastography examination to evaluate the presence of hepatic steatosis and liver stiffness. Additionally, sampling of saliva and faeces, biochemical measurements and clinical interviews were carried out. Results We recruited 173 T2D and 183 non-T2D participants (78% overall response rate). Hepatic steatosis was more common in T2D (63.7%) than non-T2D (36.3%) participants. T2D participants also had higher levels of liver stiffness (median 4.8 kPa, interquartile range (IQR) 3.7, 5.9) than non-T2D participants (median 3.9 kPa, IQR 3.3, 5.1). The non-invasive scoring systems like the NAFLD fibrosis score (NFS) suggests an increased liver fibrosis in T2D (mean − 0.55, standard deviation, SD, 1.30) than non-T2D participants (mean − 1.30, SD, 1.17). Discussion Given the comprehensive biochemical and clinical characterization of study participants, once the bioinformatics classification of the microbiota will be completed, the CHRIS-NAFLD study will become a useful resource to further our understanding of the relationship between microbiota, T2D and NAFLD.

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Prophylactic role of vitamin K supplementation on vascular inflammation in type 2 diabetes by regulating the NF-κB/Nrf2 pathwayviaactivating Gla proteins

Food & Function ◽

10.1039/c7fo01491k ◽

2018 ◽

Vol 9 (1) ◽

pp. 450-462 ◽

Cited By ~ 11

Author(s):

Anjum Dihingia ◽

Dibyajyoti Ozah ◽

Pranab Kumar Baruah ◽

Jatin Kalita ◽

Prasenjit Manna

Keyword(s):

Type 2 Diabetes ◽

Vitamin K ◽

Vascular Inflammation ◽

Vitamin K1 ◽

The Relationship

There is no previous study that has examined the relationship between circulating vitamin K1 (VK1) and vascular inflammation in type 2 diabetes (T2D).

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