Diabetes Self-management Interventions Research Articles

A Community Health Worker Intervention for Diabetes Self-Management Among the Tz’utujil Maya of Guatemala

Despite the high prevalence of diabetes in rural Guatemala, there is little education in diabetes self-management, particularly among the indigenous population. To address this need, a culturally relevant education intervention for diabetic patients was developed and implemented in two rural communities in Guatemala. An evaluative research project was designed to investigate if the structured, community-led diabetes self-management intervention improved selected health outcomes for participants. A one-group, pretest-posttest design was used to evaluate the effectiveness of the educational intervention by comparing measures of health, knowledge, and behavior in patients pre- and postintervention. A survey instrument assessed health beliefs and practices and hemoglobin A1c (HgA1c) measured blood glucose levels at baseline and 4 months post initiation of intervention (n = 52). There was a significant decrease (1.2%) in the main outcome measure, mean HgA1c from baseline (10.1%) and follow-up (8.9%; p = .001). Other survey findings were not statistically significant. This study illustrates that a culturally specific, diabetes self-management program led by community health workers may reduce HgA1c levels in rural populations of Guatemala. However, as a random sample was not feasible for this study, this finding should be interpreted with caution. Limitations unique to the setting and patient population are discussed in this article.

A Virtual World Versus Face-to-Face Intervention Format to Promote Diabetes Self-Management Among African American Women: A Pilot Randomized Clinical Trial.

BackgroundVirtual world environments have the potential to increase access to diabetes self-management interventions and may lower cost.ObjectiveWe tested the feasibility and comparative effectiveness of a virtual world versus a face-to-face diabetes self-management group intervention.MethodsWe recruited African American women with type 2 diabetes to participate in an 8-week diabetes self-management program adapted from Power to Prevent, a behavior-change in-person group program for African Americans with diabetes or pre-diabetes. The program is social cognitive theory–guided, evidence-based, and culturally tailored. Participants were randomized to participate in the program via virtual world (Second Life) or face-to-face, both delivered by a single intervention team. Blinded assessors conducted in-person clinical (HbA1c), behavioral, and psychosocial measurements at baseline and 4-month follow-up. Pre-post differences within and between intervention groups were assessed using t tests and chi-square tests (two-sided and intention-to-treat analyses for all comparisons).ResultsParticipants (N=89) were an average of 52 years old (SD 10), 60% had ≤high school, 82% had household incomes <US $30,000, and computer experience was variable. Overall session attendance was similar across the groups (6.8/8 sessions, P=.90). Compared to face-to-face, virtual world was slightly superior for total activity, light activity, and inactivity (P=.05, P=.07, and P=.025, respectively). HbA1c reduction was significant within face-to-face (−0.46, P=02) but not within virtual world (−0.31, P=.19), although there were no significant between group differences in HbA1c (P=.52). In both groups, 14% fewer patients had post-intervention HbA1c ≥9% (virtual world P=.014; face-to-face P=.002), with no significant between group difference (P=.493). Compared to virtual world, face-to-face was marginally superior for reducing depression symptoms (P=.051). The virtual world intervention costs were US $1117 versus US $931 for face-to-face.ConclusionsIt is feasible to deliver diabetes self-management interventions to inner city African American women via virtual worlds, and outcomes may be comparable to those of face-to-face interventions. Further effectiveness research is warranted.Trial RegistrationClinicalTrials.gov NCT01340079; http://clinicaltrials.gov/show/NCT01340079 (Archived by WebCite at http://www.webcitation.org/6T2aSvmka).

Correlates of self-care in low-income African American and Latino patients with diabetes.

This study aimed to examine diabetes self-care (DSC) patterns in low-income African American and Latino patients with Type 2 diabetes, and identify patient-related, biomedical/disease-related, and psychosocial correlates of DSC. We performed cross-sectional analysis of survey data from African Americans and Latinos aged ≥18 years with Type 2 diabetes (n = 250) participating in a diabetes self-management intervention at 4 primary care clinics. The Summary of Diabetes Self-Care Activities captured the subcomponents of healthy eating, physical activity, blood sugar testing, foot care, and smoking. Correlates included patient-related attributes, biomedical/disease-related factors, and psychosocial constructs, with their multivariable influence assessed with a 3-step model building procedure using regression techniques. Baseline characteristics were as follows: mean age of 53 years (SD = 12.4); 69% female; 53% African American; 74% with incomes below $20,000; and 60% with less than a high school education. DSC performance levels were highest for foot care (4.5/7 days) and lowest for physical activity (2.5/7 days). Across racial/ethnic subgroups, diabetes-related distress was the strongest correlate for DSC when measured as a composite score. Psychosocial factors accounted for 14% to 33% of variance in self-care areas for both racial/ethnic groups. Patient characteristics were more salient correlates in Hispanic/Latinos when examining the self-care subscales, particularly those requiring monetary resources. Important information is provided on specific DSC patterns in a sample of ethnic/racial minorities with Type 2 diabetes. Significant correlates found may help with identification and intervention of patients who may benefit from strategies to increase self-care adherence.

Peer Support for Achieving Independence in Diabetes (Peer-AID): Design, methods and baseline characteristics of a randomized controlled trial of community health worker assisted diabetes self-management support

Background & objectivesCommunity health workers (CHWs) may be an important mechanism to provide diabetes self-management to disadvantaged populations. We describe the design and baseline results of a trial evaluating a home-based CHW intervention. Methods & research designPeer Support for Achieving Independence in Diabetes (Peer-AID) is a randomized, controlled trial evaluating a home-based CHW-delivered diabetes self-management intervention versus usual care. The study recruited participants from 3 health systems. Change in A1c measured at 12months is the primary outcome. Changes in blood pressure, lipids, health care utilization, health-related quality of life, self-efficacy and diabetes self-management behaviors at 12months are secondary outcomes. ResultsA total of 1438 patients were identified by a medical record review as potentially eligible, 445 patients were screened by telephone for eligibility and 287 were randomized. Groups were comparable at baseline on socio-demographic and clinical characteristics. All participants were low-income and were from diverse racial and ethnic backgrounds. The mean A1c was 8.9%, mean BMI was above the obese range, and non-adherence to diabetes medications was high. The cohort had high rates of co-morbid disease and low self-reported health status. Although one-third reported no health insurance, the mean number of visits to a physician in the past year was 5.7. Trial results are pending. ConclusionsPeer-AID recruited and enrolled a diverse group of low income participants with poorly controlled type 2 diabetes and delivered a home-based diabetes self-management program. If effective, replication of the Peer-AID intervention in community based settings could contribute to improved control of diabetes in vulnerable populations.

Computer-based interventions to improve self-management in adults with type 2 diabetes: a systematic review and meta-analysis.

Structured patient education programs can reduce the risk of diabetes-related complications. However, people appear to have difficulties attending face-to-face education and alternatives are needed. This review looked at the impact of computer-based diabetes self-management interventions on health status, cardiovascular risk factors, and quality of life of adults with type 2 diabetes. We searched The Cochrane Library, Medline, Embase, PsycINFO, Web of Science, and CINAHL for relevant trials from inception to November 2011. Reference lists from relevant published studies were screened and authors contacted for further information when required. Two authors independently extracted relevant data using standard data extraction templates. Sixteen randomized controlled trials with 3,578 participants met the inclusion criteria. Interventions were delivered via clinics, the Internet, and mobile phones. Computer-based diabetes self-management interventions appear to have small benefits on glycemic control: the pooled effect on HbA1c was -0.2% (-2.3 mmol/mol [95% CI -0.4 to -0.1%]). A subgroup analysis on mobile phone-based interventions showed a larger effect: the pooled effect on HbA1c from three studies was -0.50% (-5.46 mmol/mol [95% CI -0.7 to -0.3%]). There was no evidence of improvement in depression, quality of life, blood pressure, serum lipids, or weight. There was no evidence of significant adverse effects. Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control, and this effect was larger in the mobile phone subgroup. There was no evidence of benefit for other biological, cognitive, behavioral, or emotional outcomes.

State of the science: diabetes self-management interventions led by nurse principal investigators.

Over the past decade, diabetes self-management (DSM) interventions have become increasingly heterogeneous to address the needs of diverse populations. The purpose of this integrative review is to summarize the state of the science regarding DSM interventions led by nurse principal investigators. The Preferred Reporting Items of Systematic Reviews and Meta-Analyses framework informed identification, selection, and appraisal of the literature. A total of 44 national and international studies (RCTs [randomized controlled trial] and quasi-experimental studies) were identified for inclusion. Across national studies, diverse ethnic groups (Latinos, African Americans, Asians, and Native Americans) were most frequently sampled (67%). Review findings identified (a) DSM intervention typologies (primary DSM intervention, DSM reinforcement intervention, and primary DSM intervention plus reinforcement intervention) and selection of blended or bundled intervention components; (b) DSM intervention translation to community-based, electronic, and home settings; and (c) DSM intervention delivery (interventionists, dosages, and fidelity).

Partnering With Families to Refine and Expand a Diabetes Intervention for Mexican Americans.

The purpose of this study was to refine and expand a culturally tailored individual-level diabetes self-management intervention to a family-level intervention. Using community-based participatory research principles, Mexican American adults (n = 12) with type 2 diabetes mellitus (T2DM) and family members (n = 12) in the United States-Mexico border region participated in 6 focus group interviews, conducted by bilingual, bicultural facilitators. Facilitators and barriers to T2DM management were identified. Transcripts were analyzed using qualitative content analysis. Through an iterative analysis process, 5 categories represented participants with T2DM: (1) strategies my family can use to support our managing T2DM, (2) be sensitive to my challenges, (3) stop telling me what to eat or do, (4) how can we peacefully coexist, and (5) I feel supported. Categories identified by family members were (1) changing behaviors together, (2) sharing not controlling, (3) supporting positive behaviors, and (4) your behaviors frustrate me. The family was reinforced as a major influence for successful T2DM management. Family support requires that families value and develop knowledge and skills for T2DM management. This family intervention builds on family assets and relationships, shifting from traditional externally motivated individual models to create a shared commitment to manage T2DM among Mexican American adults.

Who Benefits from Diabetes Self-Management Interventions? The Influence of Depression in the Latinos en Control Trial

Depressive symptoms are common among adults with diabetes. Depression and social support may influence diabetes self-management. This study aimed to examine change in depressive symptoms and the role of depression and support on clinical and dietary outcomes among Latinos with type 2 diabetes participating in a diabetes self-management intervention. Participants (N = 252) were randomized to the intervention or usual care. Mixed effects models were used to examine interaction effects between intervention status and depressive symptoms (Centers for Epidemiologic Studies Depression (CES-D) score) and support for diabetes self-management behaviors at baseline. Outcomes were measured at baseline and 4 and 12months and included dietary quality, physical activity, depressive symptoms, and hemoglobin A1c levels. Intervention participants had lower CES-D scores at follow-up than control participants. An interaction effect between intervention status and CES-D scores predicted diet quality. Latinos with depressive symptoms may derive the greatest benefits from diabetes self-management interventions. Additional research on support during diabetes self-management interventions is warranted.

Disease-related distress, self-care and clinical outcomes among low-income patients with diabetes

BackgroundThe purpose of this study is to determine the prevalence of diabetes distress and its relationship with health behaviours and clinical outcomes in low-income patients.MethodsSecondary analyses were conducted using baseline...

Depression, deficits in functional capacity, and impaired glycemic control in urban African Americans with type 2 diabetes

BackgroundEffective depression treatment does not reliably reduce glycosylated hemoglobin (HbA1c) in depressed patients with type 2 diabetes, possibly in part due to deficits in functional capacity, i.e. performance of certain everyday living skills, essential for effective diabetes self-management. We sought to determine: a) the magnitude of deficits in functional capacity among urban, African American (AA) patients with type 2 diabetes, and b) whether these deficits were associated with poorer glycemic control. MethodsAt their initial visit to an inner-city diabetes clinic, 172 AA patients with type 2 diabetes were assessed with a variety of instruments, including the Mini International Neuropsychiatric Interview (MINI) and the UCSD Performance Skills Assessment-Brief (UPSA-B). They then entered a comprehensive diabetes management intervention, whose success was indexed by HbA1c levels at up to four reassessments over a one-year period. A mixed-effects model repeated-measures method was used to predict HbA1c. ResultsThe prevalence of depression was 19%; the mean UPSA-B score was 81 ± 17. After multivariate adjustment, increased HbA1c levels over time were predicted by the presence of major depression (B = .911, p = .002) and decreasing (worse) scores on the UPSA-B (B = −.016, p = .027), respectively. Further adjustment for increasing the dosage of oral or insulin during the treatment eliminated the association between the UPSA score and HbA1c level (B = −.010, p = .115). ConclusionsDepression, as well as deficits in functional capacity, predicted reduced effectiveness of a diabetes self-management intervention. Future studies will determine whether interventions targeted at both improve glycemic control.

Beverage-Consumption Patterns and Associations with Metabolic Risk Factors among Low-Income Latinos with Uncontrolled Type 2 Diabetes

In the United States, Latinos experience disproportionately higher rates of type 2 diabetes and diabetes-related complications than non-Latino whites. Sugar-sweetened beverage (SSB) consumption is strongly associated with increased risk of developing type 2 diabetes. Reducing caloric intake, particularly from energy-dense, low-nutrient foods or beverages, can be an effective and key strategy for metabolic and weight control. However, little is known about the contribution of various types of beverages, including but not limited to SSBs, to total caloric intake among Latinos with type 2 diabetes. Low-income Latinos (87.7% Puerto Rican) participating in a diabetes self-management intervention trial (N=238) provided cross-sectional, descriptive data on beverage-consumption patterns, anthropometric outcomes, and metabolic characteristics. Beverages accounted for one fifth of the total daily caloric intake. SSBs and milk beverages, respectively, contributed 9.6% of calories to overall daily caloric intake. Interventions directed at diabetes risk factors among low-income Latinos with diabetes can benefit from consideration of beverage-consumption behaviors as an important strategy to reduce caloric and sugar intake.

Comparison of a Mindful Eating Intervention to a Diabetes Self-Management Intervention Among Adults With Type 2 Diabetes

Mindful eating may be an effective intervention for increasing awareness of hunger and satiety cues, improving eating regulation and dietary patterns, reducing symptoms of depression and anxiety, and promoting weight loss. Diabetes self-management education (DSME), which addresses knowledge, self-efficacy, and outcome expectations for improving food choices, also may be an effective intervention for diabetes self-care. Yet few studies have compared the impact of mindful eating to a DSME-based treatment approach on patient outcomes. Adults 35 to 65 years old with type 2 diabetes for ≥1 year not requiring insulin therapy were recruited from the community and randomly assigned to treatment group. The impact of a group-based 3-month mindful eating intervention (MB-EAT-D; n = 27) to a group-based 3-month DSME "Smart Choices" (SC) intervention (n = 25) postintervention and at 3-month follow-up was evaluated. Repeated-measures ANOVA with contrast analysis compared change in outcomes across time. There was no significant difference between groups in weight change. Significant improvement in depressive symptoms, outcome expectations, nutrition and eating-related self-efficacy, and cognitive control and disinhibition of control regarding eating behaviors occurred for both groups (all p < .0125) at 3-month follow-up. The SC group had greater increase in nutrition knowledge and self-efficacy than the MB-EAT-D group (all p < .05) at 3-month follow-up. MB-EAT-D had significant increase in mindfulness, whereas the SC group had significant increase in fruit and vegetable consumption at study end (all p < .0125). Both SC and MB-EAT-D were effective treatments for diabetes self-management. The availability of mindful eating and DSME-based approaches offers patients greater choices in meeting their self-care needs.

Barriers and facilitators to diabetes self‐management: Perspectives of older community dwellers and health professionals in China

Little is known about self-management among people with Type 2 diabetes living in mainland China. Understanding the experiences of this target population is needed to provide socioculturally relevant education to effectively promote self-management. The aim of this study was to explore perceived barriers and facilitators to diabetes self-management for both older community dwellers and health professionals in China. Four focus groups, two for older people with diabetes and two for health professionals, were conducted. All participants were purposively sampled from two communities in Shanghai, China. Six barriers were identified: overdependence on but dislike of western medicine, family role expectations, cuisine culture, lack of trustworthy information sources, deficits in communication between clients and health professionals, and restriction of reimbursement regulations. Facilitators included family and peer support, good relationships with health professionals, simple and practical instruction and a favourable community environment. The findings provide valuable information for diabetes self-management intervention development in China, and have implications for programmes tailored to populations in similar sociocultural circumstances.

Computer‐based diabetes self‐management interventions for adults with type 2 diabetes mellitus

Computer‐based diabetes self‐management interventions for adults with type 2 diabetes mellitus

Affective symptoms and change in diabetes self‐efficacy and glycaemic control

To examine the role of baseline depression, anxiety and stress symptoms on post-intervention diabetes self-efficacy and glycaemic control (HbA(1c)). The current study analysed data from patients (n = 85) with treated but uncontrolled Type 2 diabetes who participated in a comparative effectiveness study of two diabetes self-management interventions. Hierarchical linear regression was used to examine the relationships between baseline affective symptoms and post-intervention diabetes self-efficacy and the moderating effects of baseline affective symptoms on the relationship between changes in diabetes self-efficacy and post-intervention HbA(1c). Baseline depression was inversely associated with post-intervention diabetes self-efficacy (P = 0.0001) after adjusting for baseline characteristics including diabetes self-efficacy. In contrast, normal-mild levels of stress were associated with higher post-intervention diabetes self-efficacy (P = 0.04). Anxiety and stress symptoms significantly and independently moderated the relationship between changes in diabetes self-efficacy and post-intervention HbA(1c) (P = 0.02 and P = 0.03, respectively). Further evaluation of these interactions demonstrated that changes in diabetes self-efficacy were associated with lower post-intervention HbA(1c), but only among those with higher baseline affective symptoms. We found a moderating effect across affective symptoms on the relationship between diabetes self-efficacy changes and post-intervention HbA1c in the context of a self-management intervention. Results suggest that patients with poorly controlled diabetes who have higher levels of depression, anxiety and stress symptoms may derive greater benefits from self-management interventions known to improve diabetes self-efficacy.

Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus.

Diabetes is one of the commonest chronic medical conditions, affecting around 347 million adults worldwide. Structured patient education programmes reduce the risk of diabetes-related complications four-fold. Internet-based self-management programmes have been shown to be effective for a number of long-term conditions, but it is unclear what are the essential or effective components of such programmes. If computer-based self-management interventions improve outcomes in type 2 diabetes, they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition. To assess the effects on health status and health-related quality of life of computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus. We searched six electronic bibliographic databases for published articles and conference proceedings and three online databases for theses (all up to November 2011). Reference lists of relevant reports and reviews were also screened. Randomised controlled trials of computer-based self-management interventions for adults with type 2 diabetes, i.e. computer-based software applications that respond to user input and aim to generate tailored content to improve one or more self-management domains through feedback, tailored advice, reinforcement and rewards, patient decision support, goal setting or reminders. Two review authors independently screened the abstracts and extracted data. A taxonomy for behaviour change techniques was used to describe the active ingredients of the intervention. We identified 16 randomised controlled trials with 3578 participants that fitted our inclusion criteria. These studies included a wide spectrum of interventions covering clinic-based brief interventions, Internet-based interventions that could be used from home and mobile phone-based interventions. The mean age of participants was between 46 to 67 years old and mean time since diagnosis was 6 to 13 years. The duration of the interventions varied between 1 to 12 months. There were three reported deaths out of 3578 participants.Computer-based diabetes self-management interventions currently have limited effectiveness. They appear to have small benefits on glycaemic control (pooled effect on glycosylated haemoglobin A1c (HbA1c): -2.3 mmol/mol or -0.2% (95% confidence interval (CI) -0.4 to -0.1; P = 0.009; 2637 participants; 11 trials). The effect size on HbA1c was larger in the mobile phone subgroup (subgroup analysis: mean difference in HbA1c -5.5 mmol/mol or -0.5% (95% CI -0.7 to -0.3); P < 0.00001; 280 participants; three trials). Current interventions do not show adequate evidence for improving depression, health-related quality of life or weight. Four (out of 10) interventions showed beneficial effects on lipid profile.One participant withdrew because of anxiety but there were no other documented adverse effects. Two studies provided limited cost-effectiveness data - with one study suggesting costs per patient of less than $140 (in 1997) or 105 EURO and another study showed no change in health behaviour and resource utilisation. Computer-based diabetes self-management interventions to manage type 2 diabetes appear to have a small beneficial effect on blood glucose control and the effect was larger in the mobile phone subgroup. There is no evidence to show benefits in other biological outcomes or any cognitive, behavioural or emotional outcomes.

Determinants of Self-Management Among Diabetic Patients

Diabetes self-management (DSM) is a complex behavior and various factors influence it. Despite continual recommendations to DSM, implementation of this behavior still remains a major health problem for diabetic patients. Identifying effective factors in DSM is useful to promote health in diabetic patients. The purpose of this study was to test the effects of individual and environmental factors on DSM. Path analysis was used to examine both one-way direct and indirect effects of 7 constructs and 3 demographic factors on DSM in this population (N = 396). Data were collected from a convenience sample of 104 (26.3%) males and 292 (73.7%) females with a median age 53 years. The final model provided a good fit to the data explaining 25% of the variance in DSM. Illness perception and provider-patient communication were the most effective factors in DSM. Knowledge and self-efficacy affected DSM indirectly via illness perception. The results of this study showed that effective DSM interventions should be designed to change illness perception and patient-provider communication, especially in patients with low duration of diabetes and low level of education.

From intervention to innovation: applying a formal implementation strategy in community primary care.

Objective. To describe a comprehensive strategy for implementing an effective diabetes self-management support intervention incorporating goal-setting and followup support in community health clinics (CHCs) serving vulnerable patients. Methods. The Replicating Effective Programs (REP) framework was applied to develop an intervention strategy. In order to create a strategy consistent with the REP framework, four CHCs engaged in an iterative process involving key-informant interviews with clinic staff, ongoing involvement of clinic staff facilitating translational efforts, feedback from national experts, and an instructional designer. Results. Moving through the REP process resulted in an implementation strategy that aims to facilitate commitment, communication, and change at the clinic level, as well as means of providing interactive, time-limited education about patient behavior change and support to health care providers. Conclusion. The REP offered a useful framework for providing guidance toward the development of a strategy to implement a diabetes self-management intervention in CHCs serving medically underserved and underrepresented patient populations.

Design and Methods for a Comparative Effectiveness Pilot Study: Virtual World vs. Face-to-Face Diabetes Self-Management.

BackgroundType 2 diabetes (diabetes) is a serious threat to public health in the United States and disproportionally affects many racial/ethnic minority groups, including African Americans. Limited access to treatment and high attrition rates further contribute to health disparities in diabetes-related morbidity and mortality among minorities. Greater opportunities for increasing access and decreasing barriers to treatment are needed. Technology-based interventions have potential for accomplishing this goal but evidence of feasibility and potential effectiveness is lacking, especially for populations that traditionally have limited educational attainment and low computer literacy.ObjectiveThis paper describes the design and methods of a pilot randomized clinical trial that will compare the feasibility and potential efficacy of delivering a diabetes self-management intervention via a virtual world vs. a face-to-face format.MethodsStudy participants (n=100) will be African American women with uncontrolled type 2 diabetes recruited from primary care practices and affiliated health centers at a large safety net hospital in Massachusetts. Participants will be randomized into a virtual world-based (VW) intervention condition or a face-to-face control condition. Both conditions provide the same theory-based curriculum and equivalent exposure to the self-management program (eight group sessions), and both will be delivered by a single intervention team (a dietitian and a diabetes educator). Assessments will be conducted at baseline and 4 months. Feasibility will be determined by evaluating the degree to which participants engage in the VW-based intervention compared to face to face (number of sessions completed). Potential efficacy will be determined by comparing change in physiological (glycemic control) and behavioral (self-reported dietary intake, physical activity, blood glucose self-monitoring, and medication adherence) outcomes between the experimental and control groups.ResultsThe primary outcomes of interest are feasibility of the VW intervention and its potential efficacy on glucose control and diabetes self-management behaviors, compared to the face-to-face condition. Analysis will use a two-sample Kolmogorov-Smirnov test for changes in variable distribution. P values will be calculated using binomial tests for proportions and t tests for continuous variables.ConclusionsIf the intervention is found to be feasible and promising, it will be tested in a larger RCT.

Comparative Effectiveness of a Mindful Eating Intervention to a Diabetes Self-Management Intervention among Adults with Type 2 Diabetes: A Pilot Study

Mindful eating offers promise as an effective approach for weight management and glycemic control in people with diabetes. Diabetes self-management education (DSME) is an essential component of effective self-care. Yet, little research has compared the effect of mindful eating to DSME–based treatment. This study compared the impact of these two interventions in adults with type 2 diabetes mellitus. A prospective randomized controlled trial with two parallel interventions was used. Participants included adults age 35 to 65 years with type 2 diabetes mellitus for 1 year or more, body mass index (BMI) of 27 or more, and hemoglobin A1c (HbA1c) of 7% or more who were randomly assigned to a 3-month mindful eating (MB-EAT-D; n=27) or Smart Choices (SC) DSME–based (n=25) intervention. Follow-up occurred 3 months after intervention completion. Dietary intake, physical activity, weight, HbA1c and fasting plasma glucose, and fasting insulin were assessed using repeated measures analysis of variance with contrast analysis. There was no significant difference between groups in the change in weight or glycemia at study end. Significant difference occurred between groups in the change in dietary intake/1,000 kcal of trans fats, total fiber, and sugars (all P<0.05). Mean (± standard error) reduction in weight (−2.92±0.54 kg for SC vs −1.53±0.54 kg for MB-EAT-D) and HbA1c (−0.67±0.24% for SC and −0.83±0.24% for MB-EAT-D) were significant (P<0.01). Significant reduction in energy intake and glycemic load occurred (all P<0.0001) for both groups. Training in mindful eating and diabetes self-management facilitate improvement in dietary intake, modest weight loss, and glycemic control. The availability of effective treatments gives patients with diabetes choices in meeting their self-care needs.