scholarly journals Dissimilarities in Social Support as Described by Swedish- and Foreign-Born Persons Diagnosed with Type 2 Diabetes and Living in Sweden

2014 ◽  
Vol 04 (03) ◽  
pp. 211-222 ◽  
Author(s):  
Katarina Hjelm ◽  
Carina Berterö
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Foreign Born

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

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.

scholarly journals Can autonomy support have an effect on type 2 diabetes glycemic control? Results of a cluster randomized controlled trial

2020 ◽  
Vol 8 (1) ◽  
pp. e001018
Author(s):  
Qingping Yun ◽  
Ying Ji ◽  
Shenglan Liu ◽  
Yang Shen ◽  
Xuewen Jiang ◽  
...  
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Glycemic Control ◽  
Support Group ◽  
Autonomy Support ◽  
Controlled Trial ◽  
Support Intervention ◽  
Randomized Controlled ◽  
Cluster Randomized

ObjectivesTo assess whether social support or autonomy support intervention for patients with type 2 diabetes can achieve glycemic control at the end of intervention, and to test whether the glycemic control effect can be maintained for a long time.Research design and methodsIn this cluster randomized controlled trial, 18 community healthcare stations (CHSs) were randomized to the following: (1) usual care group (UCG) offering regular public health management services, (2) social support group (SSG) providing 3-month social support intervention based on problem solving principles, and (3) autonomy support group (ASG) offering 3-month autonomy support intervention based on self-determination theory. A total of 364 patients registered in the CHSs were enrolled into either of the three groups. The primary outcome was hemoglobin A1c (HbA1c), and secondary outcomes were diabetes self-management (DSM) behaviors. Assessment was conducted at baseline and at 3 and 6 months.ResultsPatients in ASG achieved better HbA1c reduction at the end of intervention (0.53% or 7.23 mmol/mol, p<0.001) than those in the UCG and successfully maintained it up to 6 months (0.42% or 5.41 mmol/mol, p<0.001). However, patients in SSG did not experience significant change in HbA1c at 3 or 6 months when compared with patients in UCG. Besides, patients in both the SSG (0.12, p<0.05) and ASG (0.22, p<0.001) experienced improvement in exercise at 3 months. Patients in ASG sustained improvement in exercise up to 6 months (0.21, p<0.001), but those in the SSG did not.ConclusionsAutonomy support for patients with type 2 diabetes could help achieve glycemic control at the end of intervention and successfully maintain it up to 6 months. These findings indicate that autonomy support has positive long-term effects on DSM behaviors and glycemic control and can be recommended in future diabetes intervention programs.Trial registration numberChiCTR1900024354.

scholarly journals Social networks and type 2 diabetes: a narrative review

Diabetologia ◽  
2021 ◽  
Author(s):  
Miranda T. Schram ◽  
Willem J. J. Assendelft ◽  
Theo G. van Tilburg ◽  
Nicole H. T. M. Dukers-Muijrers
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Social Networks ◽  
Social Network ◽  
Narrative Review ◽  
Current Evidence ◽  
Favourable Effect ◽  
Effective Prevention ◽  
Network Variable

AbstractIt has been known for decades that social networks are causally related to disease and mortality risk. However, this field of research and its potential for implementation into diabetes care is still in its infancy. In this narrative review, we aim to address the state-of-the-art of social network research in type 2 diabetes prevention and care. Despite the diverse nature and heterogeneity of social network assessments, we can draw valuable lessons from the available studies. First, the structural network variable ‘living alone’ and the functional network variable ‘lack of social support’ have been associated with increased type 2 diabetes risk. The latter association may be modified by lifestyle risk factors, such as obesity, low level of physical activity and unhealthy diet. Second, smaller network size and less social support is associated with increased risk of diabetes complications, particularly chronic kidney disease and CHD. Third, current evidence shows a beneficial impact of social support on diabetes self-management. In addition, social support interventions were found to have a small, favourable effect on HbA1c values in the short-term. However, harmonisation and more detailed assessment of social network measurements are needed to utilise social network characteristics for more effective prevention and disease management in type 2 diabetes. Graphical abstract

scholarly journals Social Network Analysis of Support Exchanges on a Virtual Environment for Diabetes Self-Management Education and Support (Preprint)

2020 ◽  
Author(s):  
Carlos A Pérez-Aldana ◽  
Allison A Lewinski ◽  
Constance M Johnson ◽  
Allison Vorderstrasse ◽  
Sahiti Myneni
Keyword(s):  
Social Support ◽  
Type 2 Diabetes ◽  
Social Interactions ◽  
Virtual Environments ◽  
Virtual Communities ◽  
Management Education ◽  
Support Networks ◽  
Self Management ◽  
Instrumental Support

BACKGROUND Diabetes remains a major health problem in the US affecting an estimated 10.5% of the population. Diabetes self-management interventions improve diabetes knowledge, self-management behaviors, and metabolic control. Widespread Internet connectivity facilitates the use of eHealth interventions, which positively impacts knowledge, social support, clinical, and behavioral outcomes. Particularly, diabetes interventions based in virtual environments have the potential to improve diabetes self-efficacy and support while being highly feasible and usable. However, little is known about the pattern of social interactions and support taking place within type 2 diabetes-specific virtual communities. OBJECTIVE The objective of this study was to examine social support exchanges from a type 2 diabetes self-management education and support intervention that was delivered via a virtual environment (VE). METHODS Data comprised VE-meditated synchronous interactions among participants and between participants and providers from an intervention for type 2 diabetes self-management education and support. Network data derived from such social interactions were used to create networks to analyze patterns of social support exchange with the lens of social network analysis. Additionally, network correlations were used to explore associations between social support networks. RESULTS Findings reveal structural differences between support networks as well as key network characteristics of supportive interactions facilitated by the intervention. Emotional and appraisal support networks are the larger, most centralized, and most active networks, suggesting that virtual communities can be good sources for these types of support. In addition, appraisal and instrumental support networks are more connected, suggesting that members of virtual communities are more likely to engage in larger group interactions where these types of support can be exchanged. Lastly, network correlations suggest participants that exchanged emotional support are likely to exchange appraisal or instrumental support, and participants that exchanged appraisal support are likely to exchange instrumental support. CONCLUSIONS Social interaction patterns from disease-specific virtual environments can be studied using a social network analysis approach to better understand the exchange of social support. Network data can provide valuable insights into the design of novel and effective eHealth interventions given the unique opportunity virtual environments have facilitating realistic environments that are effective and sustainable where social interactions can be leveraged to achieve diverse health goals.

scholarly journals The Effect of Social Support on Glycemic Control in Patients with Type 2 Diabetes Mellitus: The Mediating Roles of Self-Efficacy and Adherence

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Yechang Shao ◽  
Lu Liang ◽  
Linjing Shi ◽  
Chengsong Wan ◽  
Shouyi Yu
Keyword(s):  
Diabetes Mellitus ◽  
Social Support ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Glycemic Control ◽  
Self Efficacy ◽  
Goodness Of Fit ◽  
Equation Modeling ◽  
Ample Evidence

Ample evidence suggests that social support, self-efficacy, and adherence significantly, independently, and together affect glycemic control in patients with type 2 diabetes mellitus (T2DM), but the pathway from social support to glycemic control remains unclear. This study hypothesized that the effect of social support on glycemic control was mediated sequentially by self-efficacy and adherence. Patients with T2DM were recruited from two hospitals in Guangzhou, China, from January 1 to July 31, 2014, and their sociodemographic clinical data and their assessments on social support, self-efficacy, and adherence were obtained from medical records and self-completed questionnaires. Of the 532 patients who participated, 35% achieved glycemic control (i.e., HbA1c < 7%). Social support, self-efficacy, and adherence had significant correlations with each other and with glycemic control (P<0.05). Regression analyses and structural equation modeling showed that better social support was associated to better patient self-efficacy, which, in turn, was associated with better medical adherence, which was associated with improved glycemic control, and the relationship between social support and glycemic control was sequentially and completely mediated by self-efficacy and adherence. The five goodness-of-fit indices confirmed that our data fitted the hypothesized pathway model strongly.

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