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The objective was to describe Diabetes Prevention Program (DPP)-based lifestyle interventions delivered via electronic, mobile, and certain types of telehealth (eHealth) and estimate the magnitude of the effect on weight loss. A systematic review was conducted. PubMed and EMBASE were searched for studies published between January 2003 and February 2016 that met inclusion and exclusion criteria. An overall estimate of the effect on mean percentage weight loss across all the interventions was initially conducted. A stratified meta-analysis was also conducted to determine estimates of the effect across the interventions classified according to whether behavioral support by counselors post-baseline was not provided, provided remotely with communication technology, or face-to-face. Twenty-two studies met the inclusion/exclusion criteria, in which 26 interventions were evaluated. Samples were primarily white and college educated. Interventions included Web-based applications, mobile phone applications, text messages, DVDs, interactive voice response telephone calls, telehealth video conferencing, and video on-demand programing. Nine interventions were stand-alone, delivered post-baseline exclusively via eHealth. Seventeen interventions included additional behavioral support provided by counselors post-baseline remotely with communication technology or face-to-face. The estimated overall effect on mean percentage weight loss from baseline to up to 15 months of follow-up across all the interventions was −3.98%. The subtotal estimate across the stand-alone eHealth interventions (−3.34%) was less than the estimate across interventions with behavioral support given by a counselor remotely (−4.31%), and the estimate across interventions with behavioral support given by a counselor in-person (−4.65%). There is promising evidence of the efficacy of DPP-based eHealth interventions on weight loss. Further studies are needed particularly in racially and ethnically diverse populations with limited levels of educational attainment. Future research should also focus on ways to optimize behavioral support.

Objective-The purpose of this study was (1) to characterize the primary sources of social support and the extent of unmet needs for support (defined as the gap between social support needs and the receipt of social support) in a sample of Korean Americans (KAs) with type 2 diabetes and (2) to examine the effect of unmet needs for support on their self-care activities.Methods-Baseline data obtained from a community-based intervention trial were used for this study of 83 middle-aged KAs with type 2 diabetes. Study design and data analysis were guided by social cognitive theory. The key variables were dictated the order of the variables in multivariate regression analysis.Results-Our findings indicated that for diabetic KAs, the primary source of social support differed according to gender. Unmet needs for support were significantly associated with self-care activities, but the amount of support needs and of social support received were not. Multivariate analysis also confirmed that unmet needs for social support are a significant strong predictor of inadequate type 2 diabetes self-care activities, after controlling for other covariates. The hierarchical regression model explained about 30% of total variance in self-care activities.Conclusions-The findings highlight the importance of considering unmet needs for social support when addressing self-care activities in type 2 diabetes patients. Future interventions should focus on filling gaps in social support and tailoring approaches according to key determinants, such as gender or education level, to improve self-care activities in the context of type 2 diabetes care.Effective self-care is a crucial determinant in improving the health outcomes of people with type 2 diabetes. 1-4 Diabetes self-care activities include multiple domains, such as adherence to treatment regimens, engaging in regular exercise, and monitoring glucose levels. Individuals' self-care activities often occur in a social setting, and support received from an individual's social network can provide coping strategies on a daily basis, enabling a person with diabetes to adhere to treatment regimens. 1,5 Social support has been considered as a major factor influencing health outcomes, 6,7 and the availability of social support affects an individual's capacity to adapt self-care activities associated with type 2 diabetes. 1,5 Despite an increasing awareness of the importance of social support in chronic disease management, however, the state of science in the field of social support still lacks theoretical specificity that can be useful to clinicians and Because the social support construct is inherently embedded in cultural and situational contexts, efforts to uncover various aspects of social support and the underlying key determinants that interact with the construct in each ethnic group constitute a worthwhile approach to improving translational science in this area. For example, according to a study by Rubin and Peyrot, social support satisfaction is negatively related to individuals' sel...

Purpose This meta-analysis examined relationships between social support and self-care in type 1 (T1DM) and 2 diabetes mellitus (T2DM). Methods We searched for published and unpublished studies using the following databases: PubMed, Embase, PsycINFO, the Cochrane Library, and Medline. MeSH search terms included "diabetes mellitus," "social support," "caregiver," "self-care," "self-management," "self-care skills," and "coping behavior." Studies reporting correlations between social support and self-care were included. Results Initially, 2 095 studies were extracted. After eliminating duplicate and irrelevant studies, 28 studies involving 5 242 patients with diabetes were included. Of these, 22 studies examined T2DM subjects. Social support was significantly associated with self-care ( k = 28, r = .28, 95% CI: .21-.34, P < .001). Among the diabetes self-care types, the strongest effect was found for glucose monitoring ( k = 6, r = .21, 95% CI: .08-.33). The relationship between social support and self-care was stronger in T2DM ( k = 22, r = .30, 95% CI: .22-.37), relative to T1DM, samples ( k = 5, r = .22, 95% CI: .02-.38). Conclusion It was concluded that the overall effect size for social support on self-care was moderate, and its strength differed by ethnic majority within the sample, type of social support measures, and publication status.