Effect of Integrated Behavioral Weight Loss Treatment and Problem-Solving Therapy on Body Mass Index and Depressive Symptoms Among Patients With Obesity and Depression

Ma, Jun; Rosas, Lisa G.; Lv, Nan; Xiao, Lan; Snowden, Mark; Venditti, Elizabeth M.; Lewis, Megan A.; Goldhaber-Fiebert, Jeremy D.; Lavori, Philip W.

doi:10.1001/jama.2019.0557

Cited by 98 publications

(100 citation statements)

References 34 publications

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“…364 Additionally, new evidence from the RAINBOW trial further supports the use of CC models for improving both physical and mental health outcomes in people with common mental disorders and cardiometabolic comorbidities. 365 However, it is important to note the above evidence pertains to evaluations of CC models in high-income settings. The importance of further development and evaluation of integrated care approaches for LMIC settings are discussed in Part 5.…”

Section: Panel 52 Examples and Evaluations: Integrated Care For Phymentioning

confidence: 99%

The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness

Firth

Siddiqi

Koyanagi

et al. 2019

The Lancet Psychiatry

912

1,093

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Executive SummaryThe poor physical health of people with mental illness is a multi-faceted, transdiagnostic, and global problem. Physical health disparities are observed across the entire spectrum of mental illnesses, in low, middle-and high-income countries. This stems from both a heightened risk of physical diseases in people with mental illness, along with their reduced access to adequate healthcare. The high rates of physical comorbidities (and typically-poor clinical management of this) drastically reduces life expectancy, and also increases the personal, social and economic burden of illness across the lifespan.This Commission has brought together an international team of researchers, clinicians, and key stakeholders from various backgrounds and professionally / personally-relevant experience, in order to summarize advances in understanding on this topic, and present clear directions for health promotion, clinical care and future research. The breadth and multifactorial nature of physical health disparities across the range of mental health diagnoses poses an almost limitless number of potential considerations. Therefore, rather than attempting to cover all of the different possible combinations of physical-mental comorbidities individually, the aim of this Commission was to: (i) establish highlypertinent aspects of physical health-related morbidity and mortality which apply transdiagnostically, (ii) highlight the common modifiable factors driving these disparities, (iii) present actions and initiatives for health policy and clinical services to address these issues, and (iv) identify promising areas for future research towards discovering novel solutions. This was addressed across 5 different Parts of the Commission: Parts 1 and 2 determined the scope, priorities and key targets for physical health improvement across multiple mental illnesses. Parts 3, 4 and 5 discussed emerging strategies and produced recommendations for improving physical health outcomes in people with mental illness. Leaders and contributors for each Part are shown in the Appendix (pg.1) . Part 1: 'Its more than premature mortality'Part 1 identified almost 100 systematic reviews/meta-analyses examining the prevalence of physical comorbidities in mental illness. Around 70% of the meta-research focused on cardiometabolic diseases; consistently reporting that mental illnesses were associated with 1.4-to 2-fold increased risk for obesity, diabetes and cardiovascular diseases compared to the general population. Although mostly studied in 'severe mental illness' ('SMI', and particularly psychotic disorders), the prevalence of cardiometabolic diseases was similarly elevated across a broad range of other diagnoses, including substance use disorders (SUDs), and 'common mental disorders' ('CMDs', such as depression and anxiety). Part 2: Key modifiable factors in health behaviours and health servicesPart 2 built on the findings of Part 1 with a hierarchal evidence synthesis of modifiable risk factors for physical diseases in mental illness. The bu...

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Section: Panel 52 Examples and Evaluations: Integrated Care For Phymentioning

confidence: 99%

The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness

Firth

Siddiqi

Koyanagi

et al. 2019

The Lancet Psychiatry

912

1,093

View full text Add to dashboard Cite

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“…Baseline participant characteristics were previously published. [14] The 204 intervention participants were primarily middle aged (mean 50.9 [SD 12.2] years), female (71%), non-Hispanic White (72%), and at least college educated (70%) (…”

Section: Baseline Characteristicsmentioning

confidence: 99%

“…[12][13][14] Recently, the Research Aimed at Improving Both Mood and Weight (RAINBOW) trial reported that an integrated collaborative care intervention, as compared with usual care, led to significantly improved weight loss and depressive symptoms through 12 months among primary care patients of both sexes who had obesity and depression. [14] Similar to prior trials showing effectiveness of behavior therapy in either of these conditions alone [15][16][17][18] or in related multiple chronic conditions-such as depression and diabetes or under a formal data sharing and use agreement that provides for a commitment to the following: (1) using the data only for research purposes and not to identify any individual participant, (2) securing the data using appropriate computer technology, which needs to be specified, (3) destroying or returning the data after analyses are completed, (4) accepting reporting responsibilities, (5) abiding by restrictions on redistribution of the data for commercial purposes or to third parties, and (6) proper acknowledgement of the data resource. Data sharing request shall be submitted to the Institutional Review Board for the University of Illinois at Chicago whose contact information is below.…”

Section: Introductionmentioning

confidence: 99%

Variability in engagement and progress in efficacious integrated collaborative care for primary care patients with obesity and depression: Within-treatment analysis in the RAINBOW trial

Xiao

Majd

et al. 2020

PLoS ONE

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Introduction The RAINBOW randomized clinical trial validated the efficacy of an integrated collaborative care intervention for obesity and depression in primary care, although the effect was modest. To inform intervention optimization, this study investigated within-treatment variability in participant engagement and progress. Methods Data were collected in 2014-2017 and analyzed post hoc in 2018. Cluster analysis evaluated patterns of change in weekly self-monitored weight from week 6 up to week 52 and depression scores on the Patient Health Questionnaire-9 (PHQ-9) from up to 15 individual sessions during the 12-month intervention. Chi-square tests and ANOVA compared weight loss and depression outcomes objectively measured by blinded assessors to validate differences among categories of treatment engagement and progress defined based on cluster analysis results.

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“…Weight gain and depression problems can be treated with an integrated combination of body care and problem-solving therapy, or by using antidepressant drugs that have significant results in weight loss and recovery in 12 months. However, the size of the effect is simple, and the clinical size is uncertain (Ma et al, 2019). PST can also help stabilize glucose and cholesterol for up to four months in individuals with depression (Villamil-Salcedo et al, 2018).…”

Section: Problem Solving Therapy In Individuals With Depression and Omentioning

confidence: 99%

“…Weight gain and depression problems can be treated with PST within 12 months, which proves more effective compared to usual care. However, the effect size is simple, and clinical measures are not consistent (Ma et al, 2019). Besides, PST can help stabilize glucose and cholesterol (Villamil-Salcedo et al, 2018).…”

Section: Analysis Figure 11 Depression With Other Problemmentioning

confidence: 99%

Combining Problem-Solving Therapy with Other Treatments to Improve Well-Being of Society

Ady¹,

Nursanaa²

2020

Proceedings of the 5th ASEAN Conference on Psychology, Counselling, and Humanities (ACPCH 2019)

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This article provides information about how problem-solving therapy can reduce depressive symptoms in terms of reducing depression when combined with other interventions that have the same purpose of decreasing depressive symptoms. This article analyzes how each intervention, combined with problem-solving therapy (PST), can affect depressive symptoms in individuals. Besides, it gives information on the combination of interventions that are most recommended for reducing depressive symptoms. The review of several PST studies on other interventions showed significant success in lowering depressive symptoms. However, some other interventions combined with PST did not show a significant change in the subject after getting treatment. PST is effective in reducing the level of depression in adults, can reduce anxiety in individuals with depression, can be effective in helping to lose weight when combined with pharmacology, and reduce suicidal ideation in depressed individuals.

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Effect of Integrated Behavioral Weight Loss Treatment and Problem-Solving Therapy on Body Mass Index and Depressive Symptoms Among Patients With Obesity and Depression

Cited by 98 publications

References 34 publications

The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness

The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness

Variability in engagement and progress in efficacious integrated collaborative care for primary care patients with obesity and depression: Within-treatment analysis in the RAINBOW trial

Combining Problem-Solving Therapy with Other Treatments to Improve Well-Being of Society

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