Does mental health influence weight loss in adults with prediabetes? Findings from the VA Diabetes Prevention Program

Mental health diagnosis attenuates weight loss among older adults in a digital diabetes prevention program

Objective

Diabetes Prevention Programs (DPP) are effective at reducing diabetes incidence via clinically significant weight loss. Co-morbid mental health condition(s) may reduce the effect of DPP administered in-person and telephonically but this has not been assessed for digital DPP. This report examines the moderating effect of mental health diagnosis on weight change among individuals who enrolled in digital DPP (enrollees) at 12 and 24 months.

Methods

Secondary analysis of prospective, electronic health record data from a study of digital DPP among adults (N = 3904) aged 65-75 with prediabetes (HbA1c 5.7%-6.4%) and obesity (BMI ≥30 kg/m²).

Results

Mental health diagnosis only moderated the effect of digital DPP on weight change during the first 7 months (p = 0.003) and the effect attenuated at 12 and 24 months. Results were unchanged after adjusting for psychotropic medication use. Among those without a mental health diagnosis, digital DPP enrollees lost more weight than non-enrollees: -4.17 kg (95% CI, -5.22 to -3.13) at 12 months and -1.88 kg (95% CI, -3.00 to -0.76) at 24 months, whereas among individuals with a mental health diagnosis, there was no difference in weight loss between enrollees and non-enrollees at 12 and 24 months (-1.25 kg [95% CI, -2.77 to 0.26] and 0.02 kg [95% CI, -1.69-1.73], respectively).

Conclusions

Digital DPP appears less effective for weight loss among individuals with a mental health condition, similar to prior findings for in-person and telephonic modalities. Findings suggest a need for tailoring DPP to address mental health conditions.

Community-based diabetes prevention randomized controlled trial in refugees with depression: effects on metabolic outcomes and depression

Depression and antidepressant medications increase risk for type 2 diabetes. Cambodian-Americans have exceedingly high rates of both depression and diabetes. This paper reports outcomes of a diabetes prevention trial for Cambodian-Americans with depression. Primary outcomes were HbA1c, insulin resistance and depressive symptoms. Participants were aged 35-75, Khmer speaking, at risk for diabetes, and met study criteria for likely depression by either (a) antidepressant medication and/or (b) prolonged elevated depressive symptoms. Participants were randomized to one of three community health worker (CHW) interventions: (1) lifestyle intervention called Eat, Walk, Sleep (EWS), (2) EWS plus medication therapy management sessions with a pharmacist/CHW team to resolve drug therapy problems (EWS + MTM), or, (3) social services (SS; control). Assessments were at baseline, post-treatment (12 months), and follow-up (15 months). The n = 188 participants were 78% female, average age of 55 years, half had a household income < $20,000, and modal educational attainment was 7.0 years. Compared to the other arms, EWS + MTM showed a significant decrease in HbA1c and a trend for reduced inflammation and stress hormones. Depressive symptoms improved for EWS and EWS + MTM relative to SS. There was no change in insulin resistance. Cardiometabolic and mental health can be improved in tandem among immigrant and refugee groups.

Use of an Interactive Obesity Treatment Approach in Individuals With Severe Mental Illness: Feasibility, Acceptability, and Proposed Engagement Criteria

BACKGROUND

Digital and mobile health interventions are increasingly being used to support healthy lifestyle change, including in certain high-risk populations such as those with severe mental illnesses (SMIs). Life expectancy in this population lags 15 years behind counterparts in the general population, primarily due to obesity-related health conditions.

OBJECTIVE

We tested the feasibility and usability of a 12-week interactive obesity treatment approach (iOTA) to adults with chronic SMIs (depression, bipolar disorder and schizophrenia spectrum disorder) receiving treatment in community settings. The iOTA incorporates short message service (SMS) text messages to supplement monthly in-person health coaching.

METHODS

Factors hypothesized to be associated with weight change were illness severity and treatment engagement. Severe psychiatric symptoms were defined as baseline Clinical Global Impression severity score of >5. Criterion engagement was defined as a text messaging response rate >80% during the first 4 weeks of treatment. Disordered eating, assessed with the Loss of Control Over Eating Scores, was also evaluated. Participants provided qualitative data, further informing assessment of intervention feasibility, usability, and acceptability.

RESULTS

A total of 26 participants were enrolled. The mean age was 48.5 (SD 15.67) years; 40% (10/26) were Black and 60% (15/26) female. Participants with lower symptom severity and adequate engagement demonstrated significantly decreased weight (F1,16=22.54, P<.001). Conversely, high symptom severity and lower text message response rates were associated with trend-level increases in weight (F1,7=4.33, P=.08). Loss-of-control eating was not observed to impact treatment outcome. Participants voiced preference for combination of live health coaching and text messaging, expressing desire for personalized message content.

CONCLUSIONS

These results demonstrate the feasibility of delivering an adapted iOTA to SMI patients receiving care in community settings and suggest testable criteria for defining sufficient treatment engagement and psychiatric symptom severity, two factors known to impact weight loss outcomes. These important findings suggest specific adaptations may be needed for optimal treatment outcomes in individuals with SMI.

A randomized trial to decrease risk for diabetes among Cambodian Americans with depression: Intervention development, baseline characteristics and process outcomes

Background:

Depression and antidepressant medications are associated with increased risk for type 2 diabetes. It is not known if diabetes can be prevented in the setting of depression. Cambodian Americans have high rates of both depression and diabetes. This paper reports intervention development, experimental design, baseline characteristics, and process outcomes of diabetes prevention interventions for Cambodian Americans with depression, “Diabetes Risk Reduction through Eat, Walk, Sleep and Medication Therapy Management” (DREAM).

Methods:

Participants were aged 35–75, Khmer speaking, at high risk for developing diabetes, and met criteria for likely depression by either a) antidepressant medication and/or b) elevated depressive symptoms at two time-points during a study eligibility period. Treatment arms were: 1) community health educator (CHE) delivered lifestyle intervention called Eat, Walk, Sleep (EWS), 2) EWS plus pharmacist/CHE-delivered medication therapy management (EWS + MTM), and, 3) social services (SS; control).

Results:

188 participants were randomized. Treatment fidelity was high (98% checklist adherence) and on a scale from 0 to 3, participants reported high EWS treatment satisfaction (M = 2.9, SD = 0.2), group cohesion (M = 2.9, SD = 0.3), and therapeutic alliance to CHEs (M = 2.9, SD = 0.2) and to pharmacists (2.9, SD = 0.3). Attendance was challenging but highly successful; in EWS, 99% attended ≥ one session and 86% completed ≥ 24 sessions, M = 27.3 (SD = 3.7) sessions. Of those randomized to EWS + MTM, 98% attended at least one MTM session and 77%) completed ≥ 4 sessions. Retention was high, 95% at 12-month and 96% at 15-month assessments.

Conclusions:

The interventions were successfully implemented. Lessons learned and suggestions for future trials are offered.

ClinicalTrials.gov identifier: NCT02502929

The impact of adult behavioural weight management interventions on mental health: A systematic review and meta-analysis

There is good evidence that behavioural weight management interventions improve physical health; however, the impact on mental health remains unclear. We evaluated the impact of behavioural weight management interventions on mental health-related outcomes in adults with overweight or obesity at intervention-end and 12 months from baseline. Eligible studies were randomized controlled trials (RCTs) or cluster RCTs of adult behavioural weight loss interventions reporting affect, anxiety, binge eating, body image, depression, emotional eating, quality of life, self-esteem and stress. We searched seven databases from inception to 7 May 2019 and included 43 articles reporting 42 RCTs. Eighteen studies were deemed to be at high risk of bias. We conducted random-effects meta-analyses, stratified analyses and meta-regression using Stata. Interventions generated greater improvements than comparators for depression, mental health-related quality of life and self-efficacy at intervention-end and 12 months from baseline. There was no difference between groups for anxiety, overall quality of life, self-esteem or stress at intervention-end. There was insufficient evidence to assess the impact on anxiety, binge eating, body image, emotional eating, affect, life satisfaction, self-esteem or stress at intervention-end and/or 12 months from baseline. Although evidence suggests that interventions benefit some aspects of mental health, high-quality, transparently reported RCTs measuring a range of mental health outcomes over longer durations are required to strengthen the evidence base.

Computerized Conjoint Analysis of the Weight Treatment Preferences of Individuals With Schizophrenia

OBJECTIVE

Innovative approaches are needed for assessing treatment preferences of individuals with schizophrenia. Conjoint analysis methods may help to identify preferences, but the usability and validity of these methods for individuals with schizophrenia remain unclear. This study examined computerized conjoint analysis for persons with schizophrenia and whether preferences for weight management programs predict service use.

METHODS

A computerized, patient-facing conjoint analysis system was developed through iterative consultation with 35 individuals with schizophrenia enrolled at a community mental health clinic. An additional 35 overweight participants with schizophrenia then used the system to choose among psychosocial weight management programs varying in four attributes: location (community or clinic), delivery mode (Internet or in person), leader (clinician or layperson), and training mode (individual or group). A multilevel logit model with partial preference data determined contributions of each attribute to groupwide preferences. Associations were studied between preferences and use of a psychosocial weight management group.

RESULTS

Conjoint analysis system usability was rated highly. Groupwide preferences were significantly influenced by location (p<0.001; clinic was preferred), leader (p=0.02; clinician was preferred), and training mode (p<0.001; group was preferred) but not delivery mode (p=0.68). Preferences did not correlate with age, gender, body mass index, illness severity, or subsequent program use. Participants described barriers to program attendance, including transportation, scheduling, privacy, psychiatric illness, and lack of motivation.

CONCLUSIONS

Computerized conjoint analysis can produce valid assessments of treatment preferences of persons with schizophrenia and inform treatment development and implementation. Although preferences may affect treatment use, they are one of multiple factors.

Views and Experiences of Adults who are Overweight and Obese on the Barriers and Facilitators to Weight Loss in Southeast Brazil: A Qualitative Study

Background: Obesity in Brazil is increasing with 54% of the Brazilian population being overweight, of which 20% is obese. Obesity is a risk factor for non-communicable diseases such as cardiovascular disease: the leading cause of mortality in Brazil. This study aims to identify the barriers and facilitators to weight loss as perceived by patients with a view to reducing the burden of obesity-related diseases on patients and healthcare services. Methods: Fifteen qualitative, semi-structured, in-depth interviews were conducted in the preventive medicine department in a private health clinic in Bauru, Southeast Brazil. Inductive thematic analysis was conducted. Results: The barriers and facilitators were classified into three themes: lifestyle, motivation and education. Barriers include cost of a healthy lifestyle, time management, personal safety, mobility, junk food advertising, sustaining weight loss, mental health, lack of support and health education. Facilitators include change in eating habits, sleep quality, cooperative food networks, access to the multidisciplinary team and expert patients as health educators. Conclusion: Expert patients should be utilized as an education method, as they increase motivation, promote the facilitators and provide realistic expectations of the weight loss process. Barriers such as junk food advertising and accessibility to treatment need to be addressed. Abbreviations: BMI: Body Mass Index; NCD: Non-Communicable Disease; SUS: Sistema Único de Saúde; WHO: World Health Organization.

Lifestyle and Psychosocial Patterns and Diabetes Incidence Among Women with and Without Obesity: a Prospective Latent Class Analysis

We conducted latent class analyses to identify women with homogeneous combinations of lifestyle and behavioral variables and tested whether latent classes were prospectively associated with diabetes incidence for women with or without baseline obesity. A total of 64,710 postmenopausal women aged 50-79 years without prevalent diabetes at baseline (years 1993-1998) were followed until 2018 with a mean follow-up of 14.6 years (sd = 6.4). Lifestyle variables included smoking, diet quality, physical activity, and sleep quality. Psychosocial variables included social support, depression, and optimism. Multivariable Cox proportional hazards regression models tested associations between latent classes and diabetes incidence controlling for age, race/ethnicity, and education. During follow-up, 8076 (12.4%) women developed diabetes. For women without baseline obesity, five latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.45; 95% CI 1.28, 1.64), poor diet and exercise (HR = 1.23; 95% CI 1.13, 1.33), and psychosocial risks alone (HR = 1.20; 95% CI 1.12, 1.29). For women with baseline obesity, four latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher for women with obesity in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.48; 95% CI 1.32, 1.66), poor diet and exercise (HR = 1.32; 95% CI 1.19, 1.47), and intermediate probabilities of multiple risks (HR = 1.17; 95% CI 1.05, 1.30). Diabetes prevention efforts that focus on diet and exercise may benefit from attention to how lifestyle behaviors interact with psychosocial variables to increase diabetes risks, and conversely, how psychological or social resources may be leveraged with lifestyle changes to reduce the risk for women with and without obesity.

Impact of adult weight management interventions on mental health: a systematic review and meta-analysis protocol

INTRODUCTION

The effects of interventions targeting weight loss on physical health are well described, yet the evidence for mental health is less clear. It is essential to better understand the impact of weight management interventions on mental health to optimise care and minimise risk of harm. We will assess the effect of behavioural weight management interventions on mental health in adults with overweight and obesity.

METHODS AND ANALYSIS

The systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. We will include behavioural weight management interventions with a diet and/or physical activity component focusing on weight loss for adults with a body mass index ≥25 kg/m2. Randomised controlled trials (RCTs) and cluster RCTs will be the only eligible study designs. Outcomes of interest will be related to mental health. The following databases were searched from inception to 07 May 2019: MEDLINE, Embase, Cochrane database (CENTRAL), PsycINFO, ASSIA, AMED and CINAHL. The search strategy was based on four concepts: (1) adults, defined as ≥18 years, with overweight/obesity, defined as BMI ≥25kg/m², (2) weight management interventions, (3) mental health outcomes and (4) study design. The search was restricted to English-language published papers, with no other restrictions applied. Two stage screening for eligibility will be completed by two independent reviewers, with two independent reviewers completing data extraction and risk of bias assessment. Data permitting, a random-effects meta-analysis of outcomes, subgroup analyses and meta-regression will be conducted. If not appropriate, narrative synthesis and 'levels of evidence' assessment will be completed.

ETHICS AND DISSEMINATION

Ethical approval is not required as primary data will not be collected. The completed systematic review will be disseminated in a peer-reviewed journal, at conferences and contribute towards the lead author's PhD thesis.

PROSPERO REGISTRATION NUMBER

CRD42019131659.

Quality of life outcomes of web-based and in-person weight management for adults with serious mental illness

Adults with serious mental illness have high rates of obesity, with associated negative impacts on health-related quality of life. The present study utilized data from a randomized controlled trial (N = 276) to examine the effectiveness of in-person and online-delivered weight management interventions, compared to usual care, for improving health-related quality of life in this population. Participants completed quality of life assessments at baseline, 3 months, and 6 months. Mixed effects models examined group by time interactions. Compared to usual care, in-person MOVE was associated with improvements in loneliness (t = - 2.76, p = .006) and mental health related quality of life (t = 1.99, p = 0.048) at 6 months, and webMOVE was associated with improvements in weight-related self-esteem at 6 months (t = 2.23, p = .026) and mental health-related quality of life at 3 months (t = 2.17, p = 0.031) and 6 months (t = 2.38, p = .018). Web-based and in-person weight management led to improvements in health-related quality of life for adults with serious mental illness.ClinicalTrials.gov Identifier: NCT00983476.

Barriers to participation in web-based and in-person weight management interventions for serious mental illness

OBJECTIVE

This study examines barriers to participation and retention in 2 modalities (web-based and in-person) of a weight-management intervention tailored for individuals with serious mental illness (SMI).

METHOD

Using a mixed-methods approach, we explored the barriers veterans with SMI face when participating in a web-based (WebMOVE) or in-person (MOVE-SMI) version of the same SMI-adapted MOVE weight-management program. Participants in the randomized controlled trial (n = 277) were recruited from specialty mental health clinics at a Veterans Affairs medical center. Barriers were analyzed across treatment condition and program attendance (engagement) at baseline and follow-up using a generalized lineal model. Post hoc analyses assessed whether changes in the trajectory of barriers over time were associated with engagement. A subsample of participants (n = 48) from the WebMOVE and MOVE-SMI treatment conditions completed a qualitative interview, and 2 coders used open coding to analyze the data.

RESULTS

Although barriers specific to treatment modality existed, most barriers cut across intervention modality, including financial hardship, lack of reliable housing and transportation, comorbid physical and mental health issues, and competing demands on personal time. Results of post hoc analyses found the association between engagement and emotional and motivational factors to be statistically significant.

CONCLUSIONS

This study is the 1st to identify barriers in a web-based intervention for SMI. Similar barriers persisted across treatment modalities. Known barriers, particularly socioeconomic barriers, should be addressed to improve engagement and retention of individuals in weight-management interventions adapted for SMI, irrespective of modality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Effect of a Behavioral Weight Loss Intervention in People With Serious Mental Illness and Diabetes

OBJECTIVE

Given the high prevalence of obesity and diabetes in patients with serious mental illness (SMI) and the lack of evidence on the effects of weight loss programs in SMI patients with diabetes, we evaluated the effectiveness of a behavioral weight loss intervention among SMI participants with and without diabetes.

RESEARCH DESIGN AND METHODS

Using data from ACHIEVE, a randomized controlled trial to evaluate the effects of a behavioral weight loss intervention among overweight/obese people with SMI, we assessed and compared weight change from baseline to 18 months in participants with and without diabetes using a longitudinal mixed-effects model.

RESULTS

Of the 291 trial participants, 82 (28.2%) participants had diabetes (34 and 48 in intervention and control groups, respectively) at baseline. Participants with diabetes were more likely to be taking antipsychotics (31.7% vs. 18.7%, P = 0.02). At 18 months, participants in the control group with diabetes lost 1.2 lb (0.6%) of body weight compared with 0.8 lb (0.7%) among those without diabetes. In the intervention group, participants with diabetes lost 13.7 lb (6.6%) of their initial body weight compared with 5.4 lb (2.9%) for those without diabetes. Corresponding net effects (intervention minus control) were 4.6 lb (2.2%) and 12.5 lb (6.0%) net weight reduction over 18 months in the no diabetes and the diabetes subgroups, respectively. However, the between-group difference in intervention effects was statistically nonsignificant (absolute weight change: P-interaction = 0.08; % weight change: P-interaction = 0.10).

CONCLUSIONS

A behavioral weight loss intervention is effective among overweight and obese individuals with SMI regardless of their diabetes status.