Exploring the relationship between diabetes self-efficacy, depressive symptoms, and glycemic control among men and women with type 2 diabetes

Abstract Background: Diabetes distress has been distinguished from depressive symptoms in the linkages to type 2 diabetes management and glycemic control. There are few evidences in rural China untangled the underlying pathways among them. The aim of our study was to examine whether self-efficacy reduced the detrimental effects of psychological variables on diabetes outcomes such as self-care behaviors, glycemic control and health-related quality of life (HRQoL).Methods: 1574 adults diagnosed with type 2 diabetes from 31 rural clinics in China were assessed for psychological variables, self-management and HRQoL. Hemoglobin A1c (HbA1c) data at 6 months after the survey were extracted from electronic medical records. Hierarchical regression model examined independent effects of psychological variables, self-efficacy on diabetes outcomes. KHB method and bootstrapping confidence intervals were employed to test the mediating effect of self-efficacy.Results: Hierarchical regression analysis showed both diabetes distress and depressive symptoms were significantly related to diet and HRQoL, but not related to glycemic control and medication adherence. Depressive symptoms, but not diabetes distress, was directly associated with physical activity. Mediation analysis demonstrated self-efficacy mediated the relationships of both diabetes distress and depressive symptoms on self-care behaviors, glycemic control and HRQoL.Conclusions: Self-efficacy may contribute to better diabetes outcome by ameliorating the effects of diabetes distress and depressive symptoms. Patients with psychological conditions may need tailored intervention that enhance self-efficacy to improve diabetes management.

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Diabetes Distress, Depressive Symptoms and Type 2 Diabetes Management and Glycemic Control: The Mediating Role of Self-Efficacy

10.21203/rs.3.rs-97220/v1 ◽

2020 ◽

Author(s):

Yuexia Gao ◽

Yarong Han ◽

Xin Zou ◽

Judy Xu ◽

Dean Getrude Mawen ◽

...

Keyword(s):

Type 2 Diabetes ◽

Depressive Symptoms ◽

Glycemic Control ◽

Self Efficacy ◽

Diabetes Management ◽

Self Care ◽

Diabetes Distress ◽

Psychological Variables ◽

Diabetes Outcomes

Abstract BackgroundDiabetes distress has been distinguished from depressive symptoms in the linkages to type 2 diabetes management and glycemic control. There are few evidences in rural China untangled the underlying pathways among them. The aim of our study was to examine whether self-efficacy reduced the detrimental effects of psychological variables on diabetes outcomes such as self-care behaviors, glycemic control and health-related quality of life (HRQoL).Methods1574 adults diagnosed with type 2 diabetes from 31 rural clinics in China were assessed for psychological variables, self-management and HRQoL. Hemoglobin A1c (HbA1c) data at 6 months after the survey were extracted from electronic medical records. Hierarchical regression model examined independent effects of psychological variables, self-efficacy on diabetes outcomes. KHB method and bootstrapping confidence intervals were employed to test the mediating effect of self-efficacy.ResultsHierarchical regression analysis showed both diabetes distress and depressive symptoms were significantly related to diet and HRQoL, but not related to glycemic control and medication adherence. Depressive symptoms, but not diabetes distress, was directly associated with physical activity. Mediation analysis demonstrated self-efficacy mediated the relationships of both diabetes distress and depressive symptoms on self-care behaviors, glycemic control and HRQoL.ConclusionsSelf-efficacy may contribute to better diabetes outcome by ameliorating the effects of diabetes distress and depressive symptoms. Patients with psychological conditions may need tailored intervention that enhance self-efficacy to improve diabetes management.

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P4-155: The Relationship of Depressive Symptoms with Cognitive Function is Different for Men and Women with Type 2 Diabetes

Alzheimer s & Dementia ◽

10.1016/j.jalz.2016.06.2247 ◽

2016 ◽

Vol 12 ◽

pp. P1074-P1074

Author(s):

Laili Soleimani ◽

Ramit Ravona-Springer ◽

Anthony Heymann ◽

James Schmeidler ◽

Mary Sano ◽

...

Keyword(s):

Type 2 Diabetes ◽

Depressive Symptoms ◽

Cognitive Function ◽

Men And Women ◽

Relationship Of ◽

The Relationship

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The social context of the relationship between glycemic control and depressive symptoms in type 2 diabetes

Chronic Illness ◽

10.1177/1742395314531990 ◽

2014 ◽

Vol 11 (1) ◽

pp. 33-43 ◽

Cited By ~ 5

Author(s):

Danielle Arigo ◽

Joshua M Smyth ◽

Kyle Haggerty ◽

Greer A Raggio

Keyword(s):

Type 2 Diabetes ◽

Depressive Symptoms ◽

Social Context ◽

Glycemic Control ◽

The Social ◽

The Relationship

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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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Effects of a Multicomponent Life-Style Intervention on Weight, Glycemic Control, Depressive Symptoms, and Renal Function in Low-Income, Minority Patients With Type 2 Diabetes

Psychosomatic Medicine ◽

10.1097/psy.0000000000000348 ◽

2016 ◽

Vol 78 (7) ◽

pp. 851-860 ◽

Cited By ~ 9

Author(s):

Ashley E. Moncrieft ◽

Maria M. Llabre ◽

Judith Rey McCalla ◽

Miriam Gutt ◽

Armando J. Mendez ◽

...

Keyword(s):

Type 2 Diabetes ◽

Renal Function ◽

Depressive Symptoms ◽

Glycemic Control ◽

Low Income ◽

Life Style ◽

Life Style Intervention

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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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