Back to Search Start Over

Dietary diversity and depression: cross-sectional and longitudinal analyses in Spanish adult population with metabolic syndrome. Findings from PREDIMED-Plus trial

Authors :
Naomi Cano-Ibáñez
Lluis Serra-Majem
Sandra Martín-Peláez
Miguel Ángel Martínez-González
Jordi Salas-Salvadó
Dolores Corella
Camille Lassale
Jose Alfredo Martínez
Ángel M Alonso-Gómez
Julia Wärnberg
Jesús Vioque
Dora Romaguera
José López-Miranda
Ramon Estruch
Ana María Gómez-Pérez
José Lapetra
Fernando Fernández-Aranda
Aurora Bueno-Cavanillas
Josep A Tur
Naiara Cubelos
Xavier Pintó
José Juan Gaforio
Pilar Matía-Martín
Josep Vidal
Cristina Calderón
Lidia Daimiel
Emilio Ros
Alfredo Gea
Nancy Babio
Ignacio Manuel Gimenez-Alba
María Dolores Zomeño-Fajardo
Itziar Abete
Lucas Tojal Sierra
Rita P Romero-Galisteo
Manoli García de la Hera
Marian Martín-Padillo
Antonio García-Ríos
Rosa M Casas
JC Fernández-García
José Manuel Santos-Lozano
Estefanía Toledo
Nerea Becerra-Tomas
Jose V Sorli
Helmut Schröder
María A Zulet
Carolina Sorto-Sánchez
Javier Diez-Espino
Carlos Gómez-Martínez
Montse Fitó
Almudena Sánchez-Villegas
European Commission
Source :
PUBLIC HEALTH NUTRITION, r-FISABIO. Repositorio Institucional de Producción Científica, instname, r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
Publication Year :
2022
Publisher :
Cambridge University Press (CUP), 2022.

Abstract

Objective: To examine the cross-sectional and longitudinal (2-year follow-up) associations between dietary diversity (DD) and depressive symptoms. Design: An energy-adjusted dietary diversity score (DDS) was assessed using a validated FFQ and was categorised into quartiles (Q). The variety in each food group was classified into four categories of diversity (C). Depressive symptoms were assessed with Beck Depression Inventory-II (Beck II) questionnaire and depression cases defined as physician-diagnosed or Beck II >= 18. Linear and logistic regression models were used. Setting: Spanish older adults with metabolic syndrome (MetS). Participants: A total of 6625 adults aged 55–75 years from the PREDIMED-Plus study with overweight or obesity and MetS. Results: Total DDS was inversely and statistically significantly associated with depression in the cross-sectional analysis conducted; OR Q4 v. Q1= 0·76 (95 % CI (0·64, 0·90)). This was driven by high diversity compared to low diversity (C3 v. C1) of vegetables (OR = 0·75, 95 % CI (0·57, 0·93)), cereals (OR = 0·72 (95 % CI (0·56, 0·94)) and proteins (OR = 0·27, 95 % CI (0·11, 0·62)). In the longitudinal analysis, there was no significant association between the baseline DDS and changes in depressive symptoms after 2 years of follow-up, except for DD in vegetables C4 v. C1 = (β = 0·70, 95 % CI (0·05, 1·35)). Conclusions: According to our results, DD is inversely associated with depressive symptoms, but eating more diverse does not seem to reduce the risk of future depression. Additional longitudinal studies (with longer follow-up) are needed to confirm these findings.<br />European Research Council (ERC) European Commission 340918<br />official funding agency for biomedical research of the Spanish Government, ISCIII through the Fondo de Investigacion para la Salud (FIS) - European Regional Development Fund PI13/00673 PI13/00492 PI13/00272 PI13/01123 PI13/00462 PI13/00233 PI13/02184 PI13/00728 PI13/01090 PI13/01056 PI14/01722 PI14/00636 PI14/00618 PI14/00696 PI14/01206 PI14/01919 PI14/00853 PI14/01374<br />La Caixa Foundation 2013ACUP00194<br />Junta de Andalucia PI0458/2013 PS0358/2016 PI0137/2018<br />Center for Forestry Research & Experimentation (CIEF)<br />European Commission PROMETEO/2017/017<br />CIBEROBN<br />European Commission CB06/03<br />Instituto de Salud Carlos III<br />International Nut&Dried Fruit Council-FESNAD Ndegreesnd longitudinal analyses in Spanish adult population with metabolic syndrome. Findings from PREDIMED-Plus trial 201302 SEMERGEN PI16/00473 PI16/00662 PI16/01873 PI16/01094 PI16/00501 PI16/00533 PI16/00381 PI16/00366 PI16/01522 PI16/01120 PI17/00764 PI17/01183 PI17/00855 PI17/01347 PI17/00525 PI17/01827 PI17/00532 PI17/00215 PI17/01441 PI17/00508 PI17/01732 PI17/00926

Details

ISSN :
14752727 and 13689800
Volume :
26
Database :
OpenAIRE
Journal :
Public Health Nutrition
Accession number :
edsair.doi.dedup.....e08923067b03b304736c6b808169e1f7