Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study

Inadequate diet influences chronic diseases such as cardiovascular disease (CVD), the leading cause of death in Spain. CVD figures vary from one geographical region to another; this could be associated with different food choices. Our aim was to analyse the influence of geographical area on nutrient...

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Main Authors: Naomi Cano-Ibáñez, Aurora Bueno-Cavanillas, Miguel A. Martínez-González, Dolores Corella, Jordi Salas-Salvadó, M. Dolors Zomeño, Manoli García-de-la-Hera, Dora Romaguera, J. Alfredo Martínez, F. Javier Barón-López, Antonio García-Ríos, Ramón Estruch, Laura García-Molina, Ángel Alonso Gómez, Josep A. Tur, Francisco Tinahones, Lluis Serra-Majem, Naiara Cubelos-Fernández, José Lapetra, Clotilde Vázquez, Xavier Pintó, Josep Vidal, Lidia Daimiel, José Juan Gaforio, Pilar Matía, Emilio Ros, Javier Diez-Espino, Rebeca Fernández-Carrión, Josep Basora, Montse Fitó, Juan Manuel Zazo, Antoni Colom, Estefanía Toledo, Andrés Díaz-López, Miguel Ángel Muñoz, Miguel Ruiz-Canela, Alfredo Gea
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/10/11/1661
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author Naomi Cano-Ibáñez
Aurora Bueno-Cavanillas
Miguel A. Martínez-González
Dolores Corella
Jordi Salas-Salvadó
M. Dolors Zomeño
Manoli García-de-la-Hera
Dora Romaguera
J. Alfredo Martínez
F. Javier Barón-López
Antonio García-Ríos
Ramón Estruch
Laura García-Molina
Ángel Alonso Gómez
Josep A. Tur
Francisco Tinahones
Lluis Serra-Majem
Naiara Cubelos-Fernández
José Lapetra
Clotilde Vázquez
Xavier Pintó
Josep Vidal
Lidia Daimiel
José Juan Gaforio
Pilar Matía
Emilio Ros
Javier Diez-Espino
Rebeca Fernández-Carrión
Josep Basora
Montse Fitó
Juan Manuel Zazo
Antoni Colom
Estefanía Toledo
Andrés Díaz-López
Miguel Ángel Muñoz
Miguel Ruiz-Canela
Alfredo Gea
spellingShingle Naomi Cano-Ibáñez
Aurora Bueno-Cavanillas
Miguel A. Martínez-González
Dolores Corella
Jordi Salas-Salvadó
M. Dolors Zomeño
Manoli García-de-la-Hera
Dora Romaguera
J. Alfredo Martínez
F. Javier Barón-López
Antonio García-Ríos
Ramón Estruch
Laura García-Molina
Ángel Alonso Gómez
Josep A. Tur
Francisco Tinahones
Lluis Serra-Majem
Naiara Cubelos-Fernández
José Lapetra
Clotilde Vázquez
Xavier Pintó
Josep Vidal
Lidia Daimiel
José Juan Gaforio
Pilar Matía
Emilio Ros
Javier Diez-Espino
Rebeca Fernández-Carrión
Josep Basora
Montse Fitó
Juan Manuel Zazo
Antoni Colom
Estefanía Toledo
Andrés Díaz-López
Miguel Ángel Muñoz
Miguel Ruiz-Canela
Alfredo Gea
Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
Nutrients
dietary intake
PREDIMED-Plus study
metabolic syndrome
place of residence
geographical area
nutrient adequacy
author_facet Naomi Cano-Ibáñez
Aurora Bueno-Cavanillas
Miguel A. Martínez-González
Dolores Corella
Jordi Salas-Salvadó
M. Dolors Zomeño
Manoli García-de-la-Hera
Dora Romaguera
J. Alfredo Martínez
F. Javier Barón-López
Antonio García-Ríos
Ramón Estruch
Laura García-Molina
Ángel Alonso Gómez
Josep A. Tur
Francisco Tinahones
Lluis Serra-Majem
Naiara Cubelos-Fernández
José Lapetra
Clotilde Vázquez
Xavier Pintó
Josep Vidal
Lidia Daimiel
José Juan Gaforio
Pilar Matía
Emilio Ros
Javier Diez-Espino
Rebeca Fernández-Carrión
Josep Basora
Montse Fitó
Juan Manuel Zazo
Antoni Colom
Estefanía Toledo
Andrés Díaz-López
Miguel Ángel Muñoz
Miguel Ruiz-Canela
Alfredo Gea
author_sort Naomi Cano-Ibáñez
title Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
title_short Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
title_full Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
title_fullStr Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
title_full_unstemmed Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus Study
title_sort dietary intake in population with metabolic syndrome: is the prevalence of inadequate intake influenced by geographical area? cross-sectional analysis from predimed-plus study
publisher MDPI AG
series Nutrients
issn 2072-6643
publishDate 2018-11-01
description Inadequate diet influences chronic diseases such as cardiovascular disease (CVD), the leading cause of death in Spain. CVD figures vary from one geographical region to another; this could be associated with different food choices. Our aim was to analyse the influence of geographical area on nutrient intakes among the Spanish adult population with Metabolic Syndrome (MetS). We analysed cross-sectional baseline data from the PREDIMED-Plus study: 6646 Spanish adults, aged 55&#8315;75 years, with overweight/obesity and MetS in four geographical areas. A validated 143-item Food Frequency Questionnaire (FFQ) was used to assess energy and nutrient intakes. The prevalence of inadequate nutrient intake was estimated according to Dietary Reference Intakes (DRIs). Multivariable-adjusted logistic regression was used to assess the relationship between geographical area (North, Central, East and South areas) and inadequate nutrient intake. People in the North area consumed significantly lower amounts of vegetables and fish but more sugar and alcohol (<i>p</i> &lt; 0.001) than other areas. Dietary fibre, vitamin A, E, calcium and magnesium intakes were all lower among men of North area than in the other areas (<i>p</i> &lt; 0.001). Sex (women), non-smoker and physical activity were also associated to adequate nutrient intake. Geographical area influences nutrient intakes. Its effect on dietary quality should be taken into account when planning food policies.
topic dietary intake
PREDIMED-Plus study
metabolic syndrome
place of residence
geographical area
nutrient adequacy
url https://www.mdpi.com/2072-6643/10/11/1661
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spelling doaj-5c0842d1839d42a9a24a2764ce0249d32020-11-24T21:15:57ZengMDPI AGNutrients2072-66432018-11-011011166110.3390/nu10111661nu10111661Dietary Intake in Population with Metabolic Syndrome: Is the Prevalence of Inadequate Intake Influenced by Geographical Area? Cross-Sectional Analysis from PREDIMED-Plus StudyNaomi Cano-Ibáñez0Aurora Bueno-Cavanillas1Miguel A. Martínez-González2Dolores Corella3Jordi Salas-Salvadó4M. Dolors Zomeño5Manoli García-de-la-Hera6Dora Romaguera7J. Alfredo Martínez8F. Javier Barón-López9Antonio García-Ríos10Ramón Estruch11Laura García-Molina12Ángel Alonso Gómez13Josep A. Tur14Francisco Tinahones15Lluis Serra-Majem16Naiara Cubelos-Fernández17José Lapetra18Clotilde Vázquez19Xavier Pintó20Josep Vidal21Lidia Daimiel22José Juan Gaforio23Pilar Matía24Emilio Ros25Javier Diez-Espino26Rebeca Fernández-Carrión27Josep Basora28Montse Fitó29Juan Manuel Zazo30Antoni Colom31Estefanía Toledo32Andrés Díaz-López33Miguel Ángel Muñoz34Miguel Ruiz-Canela35Alfredo Gea36Department of Preventive Medicine and Public Health, University of Granada, 18011 Granada, SpainDepartment of Preventive Medicine and Public Health, University of Granada, 18011 Granada, SpainDepartment of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainUnit of Cardiovascular Risk and Nutrition, Institut Hospital del mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, SpainCIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainDepartment of Preventive Medicine and Public Health, University of Granada, 18011 Granada, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainInstitute of Biomedicine (IBIOMED), University of León, 24071 León, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainDepartment of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, SpainNutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, SpainCIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, SpainDepartment of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainDepartment of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainCIBER of Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, 28029 Madrid, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainDepartment of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, SpainCIBER Physiopathology of Obesity and Nutrition (CIBEROBN), Carlos III Institute of Health, 28029 Madrid, SpainPrimary Care Division of Barcelona, Institut Català de la Salud-IDIAP Jordi Gol, 08007 Barcelona, SpainDepartment of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, SpainDepartment of Preventive Medicine and Public Health, Medical School, University of Navarre, 31008 Pamplona, SpainInadequate diet influences chronic diseases such as cardiovascular disease (CVD), the leading cause of death in Spain. CVD figures vary from one geographical region to another; this could be associated with different food choices. Our aim was to analyse the influence of geographical area on nutrient intakes among the Spanish adult population with Metabolic Syndrome (MetS). We analysed cross-sectional baseline data from the PREDIMED-Plus study: 6646 Spanish adults, aged 55&#8315;75 years, with overweight/obesity and MetS in four geographical areas. A validated 143-item Food Frequency Questionnaire (FFQ) was used to assess energy and nutrient intakes. The prevalence of inadequate nutrient intake was estimated according to Dietary Reference Intakes (DRIs). Multivariable-adjusted logistic regression was used to assess the relationship between geographical area (North, Central, East and South areas) and inadequate nutrient intake. People in the North area consumed significantly lower amounts of vegetables and fish but more sugar and alcohol (<i>p</i> &lt; 0.001) than other areas. Dietary fibre, vitamin A, E, calcium and magnesium intakes were all lower among men of North area than in the other areas (<i>p</i> &lt; 0.001). Sex (women), non-smoker and physical activity were also associated to adequate nutrient intake. Geographical area influences nutrient intakes. Its effect on dietary quality should be taken into account when planning food policies.https://www.mdpi.com/2072-6643/10/11/1661dietary intakePREDIMED-Plus studymetabolic syndromeplace of residencegeographical areanutrient adequacy