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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MDPI AG
2018-11-01
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Series: | Nutrients |
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Online Access: | https://www.mdpi.com/2072-6643/10/11/1661 |
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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 55⁻75 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> < 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> < 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 |
work_keys_str_mv |
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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 55⁻75 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> < 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> < 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 |