Cited by 81Health Systems, Economic Evaluations, Quality of LifeMental Health Treatment and AccessTreatment of Major Depression

Economic evaluation of a dietary intervention for adults with major depression (the “SMILES” trial)

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Chatterton, Mary Lou, Mihalopoulos, Cathrine, O’Neil, Adrienne, Itsiopoulos, Catherine, Opie, Rachelle, Castle, David, Dash, Sarah, Brazionis, Laima +2 more·2018·BMC Public Health

Abstract

BACKGROUND: Recently, the efficacy of dietary improvement as a therapeutic intervention for moderate to severe depression was evaluated in a randomised controlled trial. The SMILES trial demonstrated a significant improvement in Montgomery-Åsberg Depression Rating Scale scores favouring the dietary support group compared with a control group over 12 weeks. We used data collected within the trial to evaluate the cost-effectiveness of this novel intervention. METHODS: In this prospective economic evaluation, sixty-seven adults meeting DSM-IV criteria for a major depressive episode and reporting poor dietary quality were randomised to either seven sessions with a dietitian for dietary support or to an intensity matched social support (befriending) control condition. The primary outcome was Quality Adjusted Life Years (QALYs) as measured by the AQoL-8D, completed at baseline and 12 week follow-up (endpoint) assessment. Costs were evaluated from health sector and societal perspectives. The time required for intervention delivery was costed using hourly wage rates applied to the time in counselling sessions. Food and travel costs were also included in the societal perspective. Data on medications, medical services, workplace absenteeism and presenteesim (paid and unpaid) were collected from study participants using a resource-use questionnaire. Standard Australian unit costs for 2013/2014 were applied. Incremental cost-effectiveness ratios (ICERs) were calculated as the difference in average costs between groups divided by the difference in average QALYs. Confidence intervals were calculated using a non-parametric bootstrap procedure. RESULTS: Compared with the social support condition, average total health sector costs were $856 lower (95% CI -1247 to - 160) and average societal costs were $2591 lower (95% CI -3591 to - 198) for those receiving dietary support. These differences were driven by lower costs arising from fewer allied and other health professional visits and lower costs of unpaid productivity. Significant differences in mean QALYs were not found between groups. However, 68 and 69% of bootstrap iterations showed the dietary support intervention was dominant (additional QALYs at less cost) from the health sector and societal perspectives. CONCLUSIONS: This novel dietary support intervention was found to be likely cost-effective as an adjunctive treatment for depression from both health sector and societal perspectives. TRIAL REGISTRATION: Australia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12612000251820 . Registered on 29 February 2012.

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  • There is evidence that decreased anxiety symptoms are related to healthy eating habits.

    “There is evidence that indicates a relationship between decreased anxiety symptoms and healthy eating habits.”

    From The Effect of Anxiety and Nutritional Habits on the Body Distortion of Athletes. (2025) · cites this paper as [6]

    The Background reports a relationship between diet quality and depression, and improvement in depressive symptoms after dietary support. Searches for anxiety symptoms and anxiety found no passage in our copy linking healthy eating to decreased anxiety symptoms. (LLM, conf=0.75)

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  • Adopting dietary improvement as a treatment strategy for mental health is cost-effective.

    “An added benefit of adopting dietary improvement as a treatment strategy for mental health is its cost-effectiveness, given the compelling economic evaluations of 2 landmark trials investigating the efficacy of a Mediterranean-style dietary intervention on reducing depression symptoms (522, 523).”

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Authors
Chatterton, M. L., Mihalopoulos, C., O’Neil, A., Itsiopoulos, C., Opie, R., Castle, D., Dash, S., Brazionis, L., Berk, M., & Jacka, F.
Affiliations
  • Deakin University (AU)
  • La Trobe University (AU)
  • The University of Melbourne (AU)
  • Barwon Health (AU)
Corresponding author
Chatterton, Mary Lou
Venue
BMC Public Health
Published
2018-05-22
Volume
18
Issue
1
Pages
599-599
ISSN
1471-2458 (ISSN-L)
OpenAlex
W2803694214
Cited by
81
References
34
Citations by year
2026: 7 · 2025: 9 · 2024: 8 · 2023: 11 · 2022: 13 · 2021: 16 · 2020: 7 · 2019: 6 · 2018: 4
FWCI
12.54
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Victoria University Research Repository (Victoria University) (submittedVersion, cc-by)
  • RMIT Research Repository (RMIT University Library) (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
Funders
  • National Health and Medical Research Council (1021347)
  • Meat and Livestock Australia (2013)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
  • Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Keywords
major depressive disorder, dietary intervention, dietitian support, cost-effectiveness, quality-adjusted life years, social support, adjunctive therapy, social costs, productivity loss, food costs, absenteeism, presenteeism, resource utilization (health care), Australia and New Zealand, New Zealand
MeSH terms
Adult, Australia, Cost-Benefit Analysis, Depressive Disorder, Major, Major Depressive Disorder, Female, Humans, Male, Middle Aged, Prospective Studies, Surveys and Questionnaires, Social Support, Treatment Outcome, Health Care Costs, Quality-Adjusted Life Years

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