Association of
AHEI-2010
DASH
Mediterranean diet
MooDFOOD project
depression
diet
meta-analysis
Journal
Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142
Informations de publication
Date de publication:
08 2020
08 2020
Historique:
pubmed:
15
8
2019
medline:
16
6
2021
entrez:
15
8
2019
Statut:
ppublish
Résumé
Review findings on the role of dietary patterns in preventing depression are inconsistent, possibly due to variation in assessment of dietary exposure and depression. We studied the association between dietary patterns and depressive symptoms in six population-based cohorts and meta-analysed the findings using a standardised approach that defined dietary exposure, depression assessment and covariates. Included were cross-sectional data from 23 026 participants in six cohorts: InCHIANTI (Italy), LASA, NESDA, HELIUS (the Netherlands), ALSWH (Australia) and Whitehall II (UK). Analysis of incidence was based on three cohorts with repeated measures of depressive symptoms at 5-6 years of follow-up in 10 721 participants: Whitehall II, InCHIANTI, ALSWH. Three a priori dietary patterns, Mediterranean diet score (MDS), Alternative Healthy Eating Index (AHEI-2010), and the Dietary Approaches to Stop Hypertension (DASH) diet were investigated in relation to depressive symptoms. Analyses at the cohort-level adjusted for a fixed set of confounders, meta-analysis used a random-effects model. Cross-sectional and prospective analyses showed statistically significant inverse associations of the three dietary patterns with depressive symptoms (continuous and dichotomous). In cross-sectional analysis, the association of diet with depressive symptoms using a cut-off yielded an adjusted OR of 0.87 (95% confidence interval 0.84-0.91) for MDS, 0.93 (0.88-0.98) for AHEI-2010, and 0.94 (0.87-1.01) for DASH. Similar associations were observed prospectively: 0.88 (0.80-0.96) for MDS; 0.95 (0.84-1.06) for AHEI-2010; 0.90 (0.84-0.97) for DASH. Population-scale observational evidence indicates that adults following a healthy dietary pattern have fewer depressive symptoms and lower risk of developing depressive symptoms.
Sections du résumé
BACKGROUND
Review findings on the role of dietary patterns in preventing depression are inconsistent, possibly due to variation in assessment of dietary exposure and depression. We studied the association between dietary patterns and depressive symptoms in six population-based cohorts and meta-analysed the findings using a standardised approach that defined dietary exposure, depression assessment and covariates.
METHODS
Included were cross-sectional data from 23 026 participants in six cohorts: InCHIANTI (Italy), LASA, NESDA, HELIUS (the Netherlands), ALSWH (Australia) and Whitehall II (UK). Analysis of incidence was based on three cohorts with repeated measures of depressive symptoms at 5-6 years of follow-up in 10 721 participants: Whitehall II, InCHIANTI, ALSWH. Three a priori dietary patterns, Mediterranean diet score (MDS), Alternative Healthy Eating Index (AHEI-2010), and the Dietary Approaches to Stop Hypertension (DASH) diet were investigated in relation to depressive symptoms. Analyses at the cohort-level adjusted for a fixed set of confounders, meta-analysis used a random-effects model.
RESULTS
Cross-sectional and prospective analyses showed statistically significant inverse associations of the three dietary patterns with depressive symptoms (continuous and dichotomous). In cross-sectional analysis, the association of diet with depressive symptoms using a cut-off yielded an adjusted OR of 0.87 (95% confidence interval 0.84-0.91) for MDS, 0.93 (0.88-0.98) for AHEI-2010, and 0.94 (0.87-1.01) for DASH. Similar associations were observed prospectively: 0.88 (0.80-0.96) for MDS; 0.95 (0.84-1.06) for AHEI-2010; 0.90 (0.84-0.97) for DASH.
CONCLUSION
Population-scale observational evidence indicates that adults following a healthy dietary pattern have fewer depressive symptoms and lower risk of developing depressive symptoms.
Identifiants
pubmed: 31409435
doi: 10.1017/S0033291719001958
pii: S0033291719001958
pmc: PMC7477372
doi:
Types de publication
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1872-1883Subventions
Organisme : Medical Research Council
ID : MR/R024227/1
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL036310
Pays : United States
Organisme : British Heart Foundation
ID : RG/16/11/32334
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : R01 AG013196
Pays : United States
Références
Cochrane Database Syst Rev. 2015 Nov 05;(11):CD004692
pubmed: 26537796
Int J Epidemiol. 1997;26 Suppl 1:S152-60
pubmed: 9126543
Mol Psychiatry. 2019 Jul;24(7):1094
pubmed: 30464329
BMJ Open. 2017 Dec 14;7(12):e017873
pubmed: 29247091
PLoS One. 2018 Sep 13;13(9):e0203483
pubmed: 30212480
Nutr Neurosci. 2019 Jul;22(7):474-487
pubmed: 29215971
J Natl Cancer Inst. 2011 Jul 20;103(14):1086-92
pubmed: 21653922
Lancet. 1991 Jun 8;337(8754):1387-93
pubmed: 1674771
J Am Geriatr Soc. 1992 Sep;40(9):922-35
pubmed: 1512391
Gen Hosp Psychiatry. 2006 Jan-Feb;28(1):71-7
pubmed: 16377369
J Affect Disord. 2018 Jan 15;226:346-354
pubmed: 29031185
Int Psychogeriatr. 2015 May;27(5):727-37
pubmed: 25644193
Stat Med. 2002 Jun 15;21(11):1539-58
pubmed: 12111919
Lancet. 2015 Aug 22;386(9995):743-800
pubmed: 26063472
Transl Psychiatry. 2016 Mar 15;6:e756
pubmed: 26978738
Prev Med. 2007 Apr;44(4):335-40
pubmed: 17350085
Eur J Clin Nutr. 2015 May;69(5):579-84
pubmed: 25226823
Arch Intern Med. 2008 Apr 14;168(7):713-20
pubmed: 18413553
BMC Med. 2017 Jan 30;15(1):23
pubmed: 28137247
J Psychiatr Res. 2018 Nov;106:1-7
pubmed: 30240962
J Nutr. 2012 Jun;142(6):1009-18
pubmed: 22513989
Psychol Med. 1996 May;26(3):477-86
pubmed: 8733206
Int J Methods Psychiatr Res. 2008;17(3):121-40
pubmed: 18763692
Eur Neuropsychopharmacol. 2017 Nov;27(11):1090-1109
pubmed: 28988944
Am J Clin Nutr. 2014 Jan;99(1):181-97
pubmed: 24196402
BMC Psychiatry. 2013 Jun 27;13:175
pubmed: 23802679
Eur J Epidemiol. 2016 Sep;31(9):927-45
pubmed: 27544533
World Psychiatry. 2015 Oct;14(3):370-1
pubmed: 26407799
J Am Geriatr Soc. 2000 Dec;48(12):1618-25
pubmed: 11129752
Asia Pac J Clin Nutr. 1994 Mar;3(1):19-31
pubmed: 24351203
Am J Epidemiol. 1985 Jul;122(1):51-65
pubmed: 4014201
J Clin Psychol. 1983 Mar;39(2):249-51
pubmed: 6841626
Eur J Nutr. 2020 Mar;59(2):767-778
pubmed: 30945032
Br J Nutr. 2001 Sep;86(3):405-14
pubmed: 11570993
J Affect Disord. 2013 May 15;148(1):12-27
pubmed: 23415826
Psychol Med. 1997 Jan;27(1):231-5
pubmed: 9122304
Proc Nutr Soc. 2013 May;72(2):191-9
pubmed: 23360896
Br J Nutr. 2016 Dec;116(12):2097-2108
pubmed: 28093091
Eur J Nutr. 2014 Jun;53(4):997-1013
pubmed: 24468939
Am J Clin Nutr. 1997 Apr;65(4 Suppl):1220S-1228S; discussion 1229S-1231S
pubmed: 9094926
Int J Epidemiol. 2005 Oct;34(5):987-91
pubmed: 15894591
Am J Prev Med. 1994 Mar-Apr;10(2):77-84
pubmed: 8037935
J Gen Intern Med. 2001 Sep;16(9):606-13
pubmed: 11556941