TY - JOUR
T1 - Dietary diversity and nutritional adequacy among an older Spanish population with metabolic syndrome in the PREDIMED-plus study
T2 - A cross-sectional analysis
AU - Cano-Ibáñez, Naomi
AU - Gea, Alfredo
AU - Martínez-González, Miguel A.
AU - Salas-Salvadó, Jordi
AU - Corella, Dolores
AU - Zomeño, M. Dolors
AU - Romaguera, Dora
AU - Vioque, Jesús
AU - Aros, Fernando
AU - Wärnberg, Julia
AU - Martínez, J. Alfredo
AU - Serra-Majem, Lluis
AU - Estruch, Ramón
AU - Tinahones, Francisco J.
AU - Lapetra, José
AU - Pintó, Xavier
AU - Tur, Josep A.
AU - García-Ríos, Antonio
AU - Riquelme-Gallego, Blanca
AU - Delgado-Rodríguez, Miguel
AU - Matía, Pilar
AU - Daimiel, Lidia
AU - Martín, Vicente
AU - Vidal, Josep
AU - Vázquez, Clotilde
AU - Ros, Emilio
AU - Buil-Cosiales, Pilar
AU - Díaz-López, Andrés
AU - Fernández-Carrión, Rebeca
AU - Fitó, Montserrat
AU - Konieczna, Jadwiga
AU - Notario-Barandiaran, Leyre
AU - Alonso-Gómez, Ángel M.
AU - Contreras-Fernández, Eugenio
AU - Abete, Itziar
AU - Sánchez-Villegas, Almudena
AU - Casas, Rosa
AU - Muñoz-Garach, Araceli
AU - Santos-Lozano, José Manuel
AU - Gallardo-Alfaro, Laura
AU - Basora, Josep
AU - Portoles, Olga
AU - Muñoz, Miguel Ángel
AU - Moñino, Manuel
AU - Gisbert, Salvador Miralles
AU - Rodríguez, Anai Moreno
AU - Ruiz-Canela, Miguel
AU - Galindo, Antoni Palau
AU - Pérez-Vega, Karla Alejandra
AU - Bueno-Cavanillas, Aurora
N1 - Funding Information:
Funding: The PREDIMED-Plus trial was supported by the official funding agency for biomedical research of the Spanish government, ISCIII through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (three coordinated FIS projects led by J.S-S and J.V, including the following projects: 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, 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), the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to J.S.-S., the European Research Council (Advanced Research Grant 2013-2018; 340918) grant to M.A.M.-G., the Recercaixa grant to J.S.-S. (2013ACUP00194), the grant from the Consejería de Salud de la Junta de Andalucía (PI0458/2013; PS0358/2016), the PROMETEO/2017/017 grant from the Generalitat Valenciana, the SEMERGEN grant and FEDER funds (CB06/03). None of the funding sources took part in the design, collection, analysis or interpretation of the data, or in the decision to submit the manuscript for publication. The corresponding author had full access to all the data in the study and had final responsibility to submit for publication.
Funding Information:
The PREDIMED-Plus trial was supported by the official funding agency for biomedical research of the Spanish government, ISCIII through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (three coordinated FIS projects led by J.S-S and J.V, including the following projects: 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, 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), the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to J.S.-S., the European Research Council (Advanced Research Grant 2013-2018; 340918) grant to M.A.M.-G., the Recercaixa grant to J.S.-S. (2013ACUP00194), the grant from the Consejería de Salud de la Junta de Andalucía (PI0458/2013; PS0358/2016), the PROMETEO/2017/017 grant from the Generalitat Valenciana, the SEMERGEN grant and FEDER funds (CB06/03). None of the funding sources took part in the design, collection, analysis or interpretation of the data, or in the decision to submit the manuscript for publication. The corresponding author had full access to all the data in the study and had final responsibility to submit for publication.
Funding Information:
Acknowledgments: The first author would like to acknowledge support by the Ministry of Education of Spain (FPU14/03630). The authors especially thank the PREDIMED-Plus participants for their collaboration and the PREDIMED-Plus staff for their support and effort. The authors also wish to thank Dr. Ingrid de Ruiter, MBChB, PhD, for English language support.
Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2019/5
Y1 - 2019/5
N2 - Dietary guidelines emphasize the importance of a varied diet to provide an adequate nutrient intake. However, an older age is often associated with consumption of monotonous diets that can be nutritionally inadequate, increasing the risk for the development or progression of diet-related chronic diseases, such as metabolic syndrome (MetS). To assess the association between dietary diversity (DD) and nutrient intake adequacy and to identify demographic variables associated with DD, we cross-sectionally analyzed baseline data from the PREDIMED-Plus trial: 6587 Spanish adults aged 55–75 years, with overweight/obesity who also had MetS. An energy-adjusted dietary diversity score (DDS) was calculated using a 143-item validated semi-quantitative food frequency questionnaire (FFQ). Nutrient inadequacy was defined as an intake below 2/3 of the dietary reference intake (DRI) forat least four of 17 nutrients proposed by the Institute of Medicine (IOM). Logistic regression models were used to evaluate the association between DDS and the risk of nutritionally inadequate intakes. In the higher DDS quartile there were more women and less current smokers. Compared with subjects in the highest DDS quartile, those in the lowest DDS quartile had a higher risk of inadequate nutrient intake: odds ratio (OR) = 28.56 (95% confidence interval (CI) 20.80–39.21). When we estimated food varietyfor each of the food groups, participants in the lowest quartile had a higher risk of inadequate nutrient intake for the groups of vegetables, OR = 14.03 (95% CI 10.55–18.65), fruits OR = 11.62 (95% CI 6.81–19.81), dairy products OR = 6.54 (95% CI 4.64–9.22) and protein foods OR = 6.60 (95% CI 1.96–22.24). As DDS decreased, the risk of inadequate nutrients intake rose. Given the impact of nutrient intake adequacy on the prevention of non-communicable diseases, health policies should focus on the promotion of a healthy varied diet, specifically promoting the intake of vegetables and fruit among population groups with lower DDS such as men, smokers or widow(er)s.
AB - Dietary guidelines emphasize the importance of a varied diet to provide an adequate nutrient intake. However, an older age is often associated with consumption of monotonous diets that can be nutritionally inadequate, increasing the risk for the development or progression of diet-related chronic diseases, such as metabolic syndrome (MetS). To assess the association between dietary diversity (DD) and nutrient intake adequacy and to identify demographic variables associated with DD, we cross-sectionally analyzed baseline data from the PREDIMED-Plus trial: 6587 Spanish adults aged 55–75 years, with overweight/obesity who also had MetS. An energy-adjusted dietary diversity score (DDS) was calculated using a 143-item validated semi-quantitative food frequency questionnaire (FFQ). Nutrient inadequacy was defined as an intake below 2/3 of the dietary reference intake (DRI) forat least four of 17 nutrients proposed by the Institute of Medicine (IOM). Logistic regression models were used to evaluate the association between DDS and the risk of nutritionally inadequate intakes. In the higher DDS quartile there were more women and less current smokers. Compared with subjects in the highest DDS quartile, those in the lowest DDS quartile had a higher risk of inadequate nutrient intake: odds ratio (OR) = 28.56 (95% confidence interval (CI) 20.80–39.21). When we estimated food varietyfor each of the food groups, participants in the lowest quartile had a higher risk of inadequate nutrient intake for the groups of vegetables, OR = 14.03 (95% CI 10.55–18.65), fruits OR = 11.62 (95% CI 6.81–19.81), dairy products OR = 6.54 (95% CI 4.64–9.22) and protein foods OR = 6.60 (95% CI 1.96–22.24). As DDS decreased, the risk of inadequate nutrients intake rose. Given the impact of nutrient intake adequacy on the prevention of non-communicable diseases, health policies should focus on the promotion of a healthy varied diet, specifically promoting the intake of vegetables and fruit among population groups with lower DDS such as men, smokers or widow(er)s.
KW - Aging
KW - Dietary diversity
KW - Metabolic syndrome
KW - Nutrient adequacy
KW - PREDIMED-Plus study
UR - http://www.scopus.com/inward/record.url?scp=85065473880&partnerID=8YFLogxK
U2 - 10.3390/nu11050958
DO - 10.3390/nu11050958
M3 - Article
C2 - 31035497
AN - SCOPUS:85065473880
SN - 2072-6643
VL - 11
JO - Nutrients
JF - Nutrients
IS - 5
M1 - 958
ER -