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Designing lifestyle interventions for common mental disorders: What can we learn from diabetes prevention programs?
journal contribution
posted on 2021-11-01, 00:00 authored by Rachelle OpieRachelle Opie, Felice JackaFelice Jacka, Wolf Marx, Tetyana RocksTetyana Rocks, Claire YoungClaire Young, A O’neilLifestyle factors including diet, sleep, physical activity, and substance use cessation, are recognised as treatment targets for common mental disorders (CMDs). As the field of lifestyle-based mental health care evolves towards effectiveness trials and real-world translation, it is timely to consider how such innovations can be integrated into clinical practice. This paper discusses the utility and scale-up of lifestyle interventions for CMDs and draws on diabetes prevention literature to identify enablers and barriers to translation efforts. We discuss the extent to which lifestyle interventions aimed at managing CMDs and preventing diabetes share commonalities (program content, theoretical underpinnings, program structures, interventionists, frameworks promoting fidelity, quality, sustainability). Specific considerations when utilising these programs for mental health in-clude personalising content with respect to symptoms and trajectories of depression and anxiety, medication regimen and genetic risk profile. As this field moves from efficacy to effectiveness and implementation, it is important to ensure issues in implementation science, including “voltage drop”, “program drift”, logistics, funding, and resourcing, are in line with evidence-based models that are effective in research settings. Ongoing considerations includes who is best placed to deliver this care and the need for models to support implementation including long-term financing, work-force training, supervision, stakeholder and organisational support.
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Journal
NutrientsVolume
13Issue
11Article number
3766Pagination
1 - 13Publisher
MDPILocation
Basel, SwitzerlandPublisher DOI
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2072-6643Publication classification
C1 Refereed article in a scholarly journalUsage metrics
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