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      A randomised controlled trial of dietary improvement for adults with major depression (the ‘SMILES’ trial)

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          Abstract

          Background

          The possible therapeutic impact of dietary changes on existing mental illness is largely unknown. Using a randomised controlled trial design, we aimed to investigate the efficacy of a dietary improvement program for the treatment of major depressive episodes.

          Methods

          ‘SMILES’ was a 12-week, parallel-group, single blind, randomised controlled trial of an adjunctive dietary intervention in the treatment of moderate to severe depression. The intervention consisted of seven individual nutritional consulting sessions delivered by a clinical dietician. The control condition comprised a social support protocol to the same visit schedule and length. Depression symptomatology was the primary endpoint, assessed using the Montgomery–Åsberg Depression Rating Scale (MADRS) at 12 weeks. Secondary outcomes included remission and change of symptoms, mood and anxiety. Analyses utilised a likelihood-based mixed-effects model repeated measures (MMRM) approach. The robustness of estimates was investigated through sensitivity analyses.

          Results

          We assessed 166 individuals for eligibility, of whom 67 were enrolled (diet intervention, n = 33; control, n = 34). Of these, 55 were utilising some form of therapy: 21 were using psychotherapy and pharmacotherapy combined; 9 were using exclusively psychotherapy; and 25 were using only pharmacotherapy. There were 31 in the diet support group and 25 in the social support control group who had complete data at 12 weeks. The dietary support group demonstrated significantly greater improvement between baseline and 12 weeks on the MADRS than the social support control group, t(60.7)  = 4.38, p < 0.001, Cohen’s d = –1.16. Remission, defined as a MADRS score <10, was achieved for 32.3% ( n = 10) and 8.0% ( n = 2) of the intervention and control groups, respectively ( χ 2 (1) = 4.84, p = 0.028); number needed to treat (NNT) based on remission scores was 4.1 (95% CI of NNT 2.3–27.8). A sensitivity analysis, testing departures from the missing at random (MAR) assumption for dropouts, indicated that the impact of the intervention was robust to violations of MAR assumptions.

          Conclusions

          These results indicate that dietary improvement may provide an efficacious and accessible treatment strategy for the management of this highly prevalent mental disorder, the benefits of which could extend to the management of common co-morbidities.

          Trial registration

          Australia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12612000251820. Registered on 29 February 2012.

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          Most cited references13

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          Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry.

          The analysis of repeated-measures data presents challenges to investigators and is a topic for ongoing discussion in the Archives of General Psychiatry. Traditional methods of statistical analysis (end-point analysis and univariate and multivariate repeated-measures analysis of variance [rANOVA and rMANOVA, respectively]) have known disadvantages. More sophisticated mixed-effects models provide flexibility, and recently developed software makes them available to researchers. To review methods for repeated-measures analysis and discuss advantages and potential misuses of mixed-effects models. Also, to assess the extent of the shift from traditional to mixed-effects approaches in published reports in the Archives of General Psychiatry. The Archives of General Psychiatry from 1989 through 2001, and the Department of Veterans Affairs Cooperative Study 425. Studies with a repeated-measures design, at least 2 groups, and a continuous response variable. The first author ranked the studies according to the most advanced statistical method used in the following order: mixed-effects model, rMANOVA, rANOVA, and end-point analysis. The use of mixed-effects models has substantially increased during the last 10 years. In 2001, 30% of clinical trials reported in the Archives of General Psychiatry used mixed-effects analysis. Repeated-measures ANOVAs continue to be used widely for the analysis of repeated-measures data, despite risks to interpretation. Mixed-effects models use all available data, can properly account for correlation between repeated measurements on the same subject, have greater flexibility to model time effects, and can handle missing data more appropriately. Their flexibility makes them the preferred choice for the analysis of repeated-measures data.
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            The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation.

            To assess the validity of the Anti Cancer Council of Victoria food frequency questionnaire (ACCVFFQ) relative to seven-day weighed food records (WFRs) in 63 women of child-bearing age. 63 women completed WFRs to assess iron intake as part of a study on iron deficiency. These women also completed the ACCVFFQ. Nutrient intakes were computed independently for the WFRs and FFQs. Intakes were compared as group means, by correlation and by quintile classification, adjusting for day-to-day variation in intakes, and for energy intake. Individual differences in results were also examined. The strongest associations between WFR and FFQ results were energy-adjusted, log-transformed and adjusted for day-to-day variability in intake. Correlation coefficients ranged from 0.28 for vitamin A to 0.78 for carbohydrate. Mean intakes from the WFRs and FFQs were within +/- 20% for 21 of 27 nutrients. Poor agreement between FFQs and WFRs for retinol intake was due to the inclusion of liver in two WFRs, an item which is not included in the FFQ. The ACCVFFQ performs as well as other FFQs for which validation data are available. The relatively poor measurement of retinol is consistent with other data, and with the limited number of foods in which this nutrient is abundant. The availability of an optically scannable valid instrument for assessing dietary intake will facilitate epidemiological studies of diet and disease, an area of current research priority.
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              A Prospective Study of Diet Quality and Mental Health in Adolescents

              Objectives A number of cross-sectional and prospective studies have now been published demonstrating inverse relationships between diet quality and the common mental disorders in adults. However, there are no existing prospective studies of this association in adolescents, the onset period of most disorders, limiting inferences regarding possible causal relationships. Methods In this study, 3040 Australian adolescents, aged 11–18 years at baseline, were measured in 2005–6 and 2007–8. Information on diet and mental health was collected by self-report and anthropometric data by trained researchers. Results There were cross-sectional, dose response relationships identified between measures of both healthy (positive) and unhealthy (inverse) diets and scores on the emotional subscale of the Pediatric Quality of Life Inventory (PedsQL), where higher scores mean better mental health, before and after adjustments for age, gender, socio-economic status, dieting behaviours, body mass index and physical activity. Higher healthy diet scores at baseline also predicted higher PedsQL scores at follow-up, while higher unhealthy diet scores at baseline predicted lower PedsQL scores at follow-up. Improvements in diet quality were mirrored by improvements in mental health over the follow-up period, while deteriorating diet quality was associated with poorer psychological functioning. Finally, results did not support the reverse causality hypothesis. Conclusion This study highlights the importance of diet in adolescence and its potential role in modifying mental health over the life course. Given that the majority of common mental health problems first manifest in adolescence, intervention studies are now required to test the effectiveness of preventing the common mental disorders through dietary modification.
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                Author and article information

                Contributors
                f.jacka@deakin.edu.au
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                30 January 2017
                30 January 2017
                2017
                : 15
                : 23
                Affiliations
                [1 ]ISNI 0000 0001 0526 7079, GRID grid.1021.2, IMPACT Strategic Research Centre, , Deakin University, ; Geelong, VIC Australia
                [2 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, School of Population Health, , The University of Melbourne, ; Melbourne, VIC Australia
                [3 ]Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, VIC Australia
                [4 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Psychiatry, , University of Melbourne, ; Melbourne, VIC Australia
                [5 ]ISNI 0000 0001 2342 0938, GRID grid.1018.8, School of Allied Health, , La Trobe University, ; Melbourne, VIC Australia
                [6 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Medicine, , The University of Melbourne, ; Melbourne, VIC Australia
                [7 ]ISNI 0000 0001 0526 7079, GRID grid.1021.2, Centre for Population Health Research, , Deakin University, ; Geelong, VIC Australia
                [8 ]ISNI 0000 0001 1482 3639, GRID grid.3263.4, Cancer Epidemiology and Intelligence Division, , Cancer Council Victoria, ; Carlton, VIC Australia
                [9 ]ISNI 0000 0000 9442 535X, GRID grid.1058.c, , Centre for Adolescent Health, Murdoch Childrens Research Institute, ; Melbourne, VIC Australia
                [10 ]ISNI 0000 0001 0640 7766, GRID grid.418393.4, , Black Dog Institute, ; Randwick, NSW Australia
                [11 ]St Vincents Hospital, Fitzroy, VIC Australia
                [12 ]ISNI 0000 0004 0606 5526, GRID grid.418025.a, , The Florey Institute of Neuroscience and Mental Health, ; Parkville, VIC Australia
                [13 ]ISNI 0000 0001 0526 7079, GRID grid.1021.2, Food & Mood Centre, , Deakin University, IMPACT SRC, School of Medicine, ; PO Box 281, Geelong, 3220 Victoria Australia
                Article
                791
                10.1186/s12916-017-0791-y
                5282719
                28137247
                8d3d708d-35a6-47b0-a79a-6aedb7019ccc
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 31 August 2016
                : 11 January 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 1021347
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Medicine
                depression,major depressive disorder,diet,nutrition,randomised controlled trial,dietetics
                Medicine
                depression, major depressive disorder, diet, nutrition, randomised controlled trial, dietetics

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