The role of social support on the relationship of depressive symptoms to medication adherence and self-care activities in adults with type 2 diabetes

2015 ◽  
Vol 71 (9) ◽  
pp. 2164-2175 ◽  
Author(s):  
Chun-Ja Kim ◽  
Elizabeth A. Schlenk ◽  
Dae Jung Kim ◽  
Moonsun Kim ◽  
Judith A. Erlen ◽  
...  
Author(s):  
Pandan Enggarwati ◽  
Debie Dahlia ◽  
Riri Maria

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.


2015 ◽  
Vol 23 (1) ◽  
pp. 12-18 ◽  
Author(s):  
Lyndsay A Nelson ◽  
Shelagh A Mulvaney ◽  
Tebeb Gebretsadik ◽  
Yun-Xian Ho ◽  
Kevin B Johnson ◽  
...  

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.


2021 ◽  
Vol 12 ◽  
Author(s):  
Liqun Wang ◽  
Jiangping Li ◽  
Yuqi Dang ◽  
Haiyu Ma ◽  
Yang Niu

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.


2019 ◽  
Vol 47 (3) ◽  
pp. 474-482 ◽  
Author(s):  
Benjamin D. Aronson ◽  
Kelley J. Sittner ◽  
Melissa L. Walls

Background. Medication adherence is negatively related to both diabetes distress (DD) and depressive symptoms (DS). Past research suggests gender differences in adherence, DD, and DS. A gap exists in determining if gender differences in adherence are mediated by DD and DS, or if gender moderates differences in adherence by DD/DS. Aims. This study investigated the relationship between gender, DD, DS, and medication adherence and tested for mediating and moderating effects on medication adherence among American Indian adults with type 2 diabetes. Method. The Maawaji idi-oog mino-ayaawin (Gathering for Health) study was a community-based participatory research collaboration with five American Indian tribes. Participants, randomly recruited from clinic records, shared information during computer-assisted personal interviews. This study includes the 166 participants who reported using medications to treat their diabetes. The relationship between gender, DD, DS, and medication adherence are explored. Possible mediating and moderating effects on medication were tested using regression and path analysis. Results. Females had higher levels of DD and DS and lower levels of medication adherence. Higher levels of DD and DS were both associated with lower medication adherence. No evidence was found that gender moderates the relationship between DD or DS and medication adherence. Instead, DD and DS mediated the relationship between gender and medication adherence. Conclusions. Medication adherence differences in male and female patients may be attributable to DD and DS. The present research highlights both DD and DS as targets for clinicians and researchers alike.


Obesity ◽  
2016 ◽  
Vol 24 (3) ◽  
pp. 568-575 ◽  
Author(s):  
Becky Marquez ◽  
Andrea Anderson ◽  
Rena R. Wing ◽  
Delia S. West ◽  
Robert L. Newton ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P1074-P1074
Author(s):  
Laili Soleimani ◽  
Ramit Ravona-Springer ◽  
Anthony Heymann ◽  
James Schmeidler ◽  
Mary Sano ◽  
...  

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