Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis
Aims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary info...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Instituto de Investigación Biomédica y Sanitaria de Alicante (ISABIAL) |
| Repositorio: | r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante |
| OAI Identifier: | oai:isabial.fundanetsuite.com:p10355 |
| Acceso en línea: | https://isabial.portalinvestigacion.com/publicaciones10355 https://www.sciencedirect.com/science/article/pii/S187140212400184X?via%3Dihub |
| Access Level: | acceso abierto |
| Palabra clave: | Dietary patterns Metabolic syndrome Principal component analysis Cluster analysis Sex approach |
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Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysisPopescu, MLRubín-García, MAlvarez-Alvarez, LToledo, ECorella, DSalas-Salvadó, JPérez-Vega, KAMartínez, JAAlonso-Gómez, AMWärnberg, JVioque, JRomaguera, DLópez-Miranda, JEstruch, RTinahones, FJLapetra, JSerra-Majem, LCano-Ibáñez, NTur, JANaveiro, RPintó, XDelgado-Rodríguez, MOrtiz-Ramos, MVidal, JVázquez, CDaimiel, LRos, EVázquez-Ruiz, ZBabio, NSorlí, JCastañer, OGarcía-Rios, AGonzález-Palacios, SZulet, MKonieczna, JCasas, RMasso-Guijarro, PTojal-Sierra, LGómez-Pérez, AMCenoz-Osinaga, JCValverde, IFernández-Carrión, RSchröder, HLarriva, APATorres-Collado, LGarcía-Arellano, APalau-Galindo, AFitó, MMartín-Sánchez, VFernández-Villa, TDietary patternsMetabolic syndromePrincipal component analysisCluster analysisSex approachAims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary information collected with food frequency questionnaires, using principal component analysis and cluster analysis and then information from both statistical methods was compared. Prevalences were calculated foreach cluster group, based on the number and types of metabolic syndrome criteria they met. Results: Following principal component analysis, two dietary patterns labeled "healthy" and "unhealthy" were identified in both men and women, due to the presence of foods that are considered more or less healthy. These same dietary patterns were found in cluster analysis plus an "intermediate" cluster consisting of both healthy and unhealthy foods. The presence of metabolic syndrome is related to the "healthy" dietary pattern in women and to the "unhealthy" dietary pattern in men. Comparison of the two statistical approaches showed a high level of correlation between them (weighted Kappa = 0.703 in women and weighted Kappa = 0.691 in men). Conclusions: Adherence to both healthy and unhealthy dietary pattern appears to be related to the development of MS. The differences found by sex make it necessary to develop interventions with a sex-specific approach.ELSEVIER SCI LTD2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://isabial.portalinvestigacion.com/publicaciones10355https://www.sciencedirect.com/science/article/pii/S187140212400184X?via%3DihubDiabetes & Metabolic Syndrome-Clinical Research & ReviewsISSN: 18714021ISSNe: 18780334reponame:r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicanteinstname:Instituto de Investigación Biomédica y Sanitaria de Alicante (ISABIAL)Inglésinfo:eu-repo/semantics/openAccessoai:isabial.fundanetsuite.com:p103552026-06-12T10:20:37Z |
| dc.title.none.fl_str_mv |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| title |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| spellingShingle |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis Popescu, ML Dietary patterns Metabolic syndrome Principal component analysis Cluster analysis Sex approach |
| title_short |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| title_full |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| title_fullStr |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| title_full_unstemmed |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| title_sort |
Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis |
| dc.creator.none.fl_str_mv |
Popescu, ML Rubín-García, M Alvarez-Alvarez, L Toledo, E Corella, D Salas-Salvadó, J Pérez-Vega, KA Martínez, JA Alonso-Gómez, AM Wärnberg, J Vioque, J Romaguera, D López-Miranda, J Estruch, R Tinahones, FJ Lapetra, J Serra-Majem, L Cano-Ibáñez, N Tur, JA Naveiro, R Pintó, X Delgado-Rodríguez, M Ortiz-Ramos, M Vidal, J Vázquez, C Daimiel, L Ros, E Vázquez-Ruiz, Z Babio, N Sorlí, J Castañer, O García-Rios, A González-Palacios, S Zulet, M Konieczna, J Casas, R Masso-Guijarro, P Tojal-Sierra, L Gómez-Pérez, AM Cenoz-Osinaga, JC Valverde, I Fernández-Carrión, R Schröder, H Larriva, APA Torres-Collado, L García-Arellano, A Palau-Galindo, A Fitó, M Martín-Sánchez, V Fernández-Villa, T |
| author |
Popescu, ML |
| author_facet |
Popescu, ML Rubín-García, M Alvarez-Alvarez, L Toledo, E Corella, D Salas-Salvadó, J Pérez-Vega, KA Martínez, JA Alonso-Gómez, AM Wärnberg, J Vioque, J Romaguera, D López-Miranda, J Estruch, R Tinahones, FJ Lapetra, J Serra-Majem, L Cano-Ibáñez, N Tur, JA Naveiro, R Pintó, X Delgado-Rodríguez, M Ortiz-Ramos, M Vidal, J Vázquez, C Daimiel, L Ros, E Vázquez-Ruiz, Z Babio, N Sorlí, J Castañer, O García-Rios, A González-Palacios, S Zulet, M Konieczna, J Casas, R Masso-Guijarro, P Tojal-Sierra, L Gómez-Pérez, AM Cenoz-Osinaga, JC Valverde, I Fernández-Carrión, R Schröder, H Larriva, APA Torres-Collado, L García-Arellano, A Palau-Galindo, A Fitó, M Martín-Sánchez, V Fernández-Villa, T |
| author_role |
author |
| author2 |
Rubín-García, M Alvarez-Alvarez, L Toledo, E Corella, D Salas-Salvadó, J Pérez-Vega, KA Martínez, JA Alonso-Gómez, AM Wärnberg, J Vioque, J Romaguera, D López-Miranda, J Estruch, R Tinahones, FJ Lapetra, J Serra-Majem, L Cano-Ibáñez, N Tur, JA Naveiro, R Pintó, X Delgado-Rodríguez, M Ortiz-Ramos, M Vidal, J Vázquez, C Daimiel, L Ros, E Vázquez-Ruiz, Z Babio, N Sorlí, J Castañer, O García-Rios, A González-Palacios, S Zulet, M Konieczna, J Casas, R Masso-Guijarro, P Tojal-Sierra, L Gómez-Pérez, AM Cenoz-Osinaga, JC Valverde, I Fernández-Carrión, R Schröder, H Larriva, APA Torres-Collado, L García-Arellano, A Palau-Galindo, A Fitó, M Martín-Sánchez, V Fernández-Villa, T |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Dietary patterns Metabolic syndrome Principal component analysis Cluster analysis Sex approach |
| topic |
Dietary patterns Metabolic syndrome Principal component analysis Cluster analysis Sex approach |
| description |
Aims: This study aims to identify a posteriori dietary patterns with a sex approach and to evaluate their association with metabolic syndrome criteria. Methods: Cross-sectional study conducted in 6821 men and women between 55 and 75 years of age. Forty-two food groups were analyzed from dietary information collected with food frequency questionnaires, using principal component analysis and cluster analysis and then information from both statistical methods was compared. Prevalences were calculated foreach cluster group, based on the number and types of metabolic syndrome criteria they met. Results: Following principal component analysis, two dietary patterns labeled "healthy" and "unhealthy" were identified in both men and women, due to the presence of foods that are considered more or less healthy. These same dietary patterns were found in cluster analysis plus an "intermediate" cluster consisting of both healthy and unhealthy foods. The presence of metabolic syndrome is related to the "healthy" dietary pattern in women and to the "unhealthy" dietary pattern in men. Comparison of the two statistical approaches showed a high level of correlation between them (weighted Kappa = 0.703 in women and weighted Kappa = 0.691 in men). Conclusions: Adherence to both healthy and unhealthy dietary pattern appears to be related to the development of MS. The differences found by sex make it necessary to develop interventions with a sex-specific approach. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://isabial.portalinvestigacion.com/publicaciones10355 https://www.sciencedirect.com/science/article/pii/S187140212400184X?via%3Dihub |
| url |
https://isabial.portalinvestigacion.com/publicaciones10355 https://www.sciencedirect.com/science/article/pii/S187140212400184X?via%3Dihub |
| dc.language.none.fl_str_mv |
Inglés |
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Inglés |
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info:eu-repo/semantics/openAccess |
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openAccess |
| dc.publisher.none.fl_str_mv |
ELSEVIER SCI LTD |
| publisher.none.fl_str_mv |
ELSEVIER SCI LTD |
| dc.source.none.fl_str_mv |
Diabetes & Metabolic Syndrome-Clinical Research & Reviews ISSN: 18714021 ISSNe: 18780334 reponame:r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante instname:Instituto de Investigación Biomédica y Sanitaria de Alicante (ISABIAL) |
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Instituto de Investigación Biomédica y Sanitaria de Alicante (ISABIAL) |
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r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante |
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r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante |
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1869402630191579136 |
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15,812455 |