Sex-specific dietary patterns and their association with metabolic syndrome: Insights from a cross-sectional analysis

被引：1

作者：

Popescu, Monica Lavinia ^{[1
]}

Rubin-Garcia, Maria ^{[1
,2
,3
]}

Alvarez-Alvarez, Laura ^{[1
,2
]}

Toledo, Estefania ^{[4
,5
]}

Corella, Dolores ^{[4
,6
]}

Salas-Salvado, Jordi ^{[4
,7
,8
]}

Perez-Vega, Karla Alejandra ^{[4
,9
]}

Martinez, J. Alfredo ^{[4
,10
,11
,12
]}

Alonso-Gomez, Angel M. ^{[4
,13
]}

Warnberg, Julia ^{[4
,14
]}

Vioque, Jesus ^{[3
,15
]}

Romaguera, Dora ^{[4
,16
]}

Lopez-Miranda, Jose ^{[4
,17
]}

Estruch, Ramon ^{[4
,18
]}

Tinahones, Francisco J. ^{[4
,19
]}

Lapetra, Jose ^{[4
,20
]}

Serra-Majem, Luis ^{[4
,21
,22
]}

Cano-Ibanez, Naomi ^{[3
,23
]}

Tur, Josep A. ^{[4
,24
]}

Naveiro, Roi ^{[25
]}

Pinto, Xavier ^{[4
,26
]}

Delgado-Rodriguez, Miguel ^{[3
,27
]}

Ortiz-Ramos, Maria ^{[28
]}

Vidal, Josep ^{[29
,30
]}

Vazquez, Clotilde ^{[4
,31
]}

Daimiel, Lidia ^{[4
,32
,33
]}

Ros, Emilio ^{[4
,34
]}

Vazquez-Ruiz, Zenaida ^{[4
,5
]}

Babio, Nancy ^{[4
,7
,8
]}

Sorli, Jose, V ^{[4
,6
]}

Castaner, Olga ^{[3
,9
]}

Garcia-Rios, Antonio ^{[4
,17
]}

Gonzalez-Palacios, Sandra ^{[3
,15
]}

Zulet, Maria ^{[4
,10
]}

Konieczna, Jadwiga ^{[4
,16
]}

Casas, Rosa ^{[4
,18
]}

Masso-Guijarro, Paloma ^{[23
,35
]}

Tojal-Sierra, Lucas ^{[4
,13
]}

Gomez-Perez, Ana M. ^{[4
]}

Cenoz-Osinaga, Juan Carlos ^{[4
]}

Valverde, Irene ^{[4
,7
,8
]}

Fernandez-Carrion, Rebeca ^{[4
,6
]}

Schroder, Helmut ^{[3
,9
]}

Larriva, Antonio P. Arenas ^{[4
]}

Torres-Collado, Laura ^{[3
,15
]}

Garcia-Arellano, Ana ^{[5
,19
,36
]}

Palau-Galindo, Antoni ^{[7
,8
,17
,37
]}

Fito, Montserrat ^{[4
,9
]}

Martin-Sanchez, Vicente ^{[3
]}

Fernandez-Villa, Tania ^{[3
]}

机构：

[1] Univ Leon, Dept Ciencias Biomed, Area Med Prevent & Salud Publ, Leon, Spain

[2] Univ Leon, Grp Invest Interacc Gen Ambiente & Salud GIIGAS, Inst Biomed IBIOMED, Leon, Spain

[3] Inst Salud Carlos III, CIBER Epidemiol & Salud Publ CIBERESP, Madrid, Spain

[4] Inst Hlth Carlos III, Ctr Invest Biomed Red Fisiopatol Obes & Nutr CIBER, Madrid, Spain

[5] Univ Navarra, Dept Prevent Med & Publ Hlth, IDISNA, Pamplona, Spain

[6] Univ Valencia, Dept Prevent Med, Valencia, Spain

[7] Univ Rovira I Virgili, Dept Bioquim & Biotecnol, Unitat Nutr, Reus, Spain

[8] Inst Invest Sanit Pere Virgili IISPV, Alimentacio Nutr Desenvolupament & Salut Mental AN, Reus, Spain

[9] Hosp Mar Med Res Inst IMIM, Unit Cardiovasc Risk & Nutr, Barcelona, Spain

[10] Univ Navarra, Ctr Nutr Res, Dept Nutr Food Sci & Physiol, IdiSNA, Pamplona, Spain

[11] CEI UAM CSIC, Precis Nutr & Cardiometab Hlth Program IMDEA Food, Madrid, Spain

[12] Univ Valladolid, Dept Med & Endocrinol, Valladolid, Spain

[13] Univ Basque Country UPV EHU, Araba Univ Hosp, Bioaraba Hlth Res Inst, Osakidetza Basque Hlth Serv,Cardiovasc Resp & Meta, Vitoria, Spain

[14] Univ Malaga, Inst Biomed Res Malaga IBIMA, Dept Nursing, Malaga, Spain

[15] Univ Miguel Hernandez ISABIAL UMH, Inst Invest Sanit & Biomed Alicante, Alicante, Spain

[16] Univ Hosp Son Espases HUSE, Hlth Res Inst Balearic Isl IdISBa, Res Grp Nutr Epidemiol & Cardiovasc Physiopathol N, Palma De Mallorca, Spain

[17] Univ Cordoba, Reina Sofia Univ Hosp, Maimonides Biomed Res Inst Cordoba IMIBIC, Dept Internal Med, Cordoba, Spain

[18] Univ Barcelona, Hosp Clin, Inst Recerca Nutr & Seguretat Alimentaria INSA UB, Dept Internal Med,Inst Invest Biomed August Pi Sun, Barcelona, Spain

[19] Univ Malaga, Virgen de La Victoria Hosp, Dept Endocrinol, Inst Invest Biomed Malaga IBIMA, Malaga, Spain

[20] Dist Sanit Atenc Primaria Sevilla, Dept Family Med, Res Unit, Seville, Spain

[21] Univ Las Palmas Gran Canaria, Res Inst Biomed & Hlth Sci IUIBS, Las Palmas Gran Canaria, Spain

[22] Ctr Hosp Univ Insular Materno Infantil CHUIMI, Canarian Hlth Serv, Las Palmas Gran Canaria, Spain

[23] Univ Granada, Dept Prevent Med & Publ Hlth, Inst Invest Biosanit Ibs Granada, Granada, Spain

[24] Univ Balearic Isl, Res Grp Community Nutr & Oxidat Stress, Palma De Mallorca, Spain

[25] CUNEF Univ, Madrid, Spain

[26] Hosp Univ Bellvitge IDIBELL, Lipids & Vasc Risk Unit, Internal Med, Lhospitalet De Llobregat, Barcelona, Spain

[27] Univ Jaen, Fac Med, Div Prevent Med, Jaen, Spain

[28] Inst Invest Sanit Hosp Clin San Carlos IdISSC, Dept Endocrinol & Nutr, Madrid, Spain

[29] Inst Salud Carlos III ISCIII, CIBER Diabet & Enfermedades Metab CIBERDEM, Madrid, Spain

[30] Univ Barcelona, Hosp Clin, Inst Invest Biomed August Pi Sunyer IDIBAPS, Dept Endocrinol, Barcelona, Spain

[31] Univ Autonoma, Hosp Fdn Jimenez Diaz, Dept Endocrinol & Nutr, Inst Invest Biomed IISFJD, Madrid, Spain

[32] CEI UAM CSIC, Precis Nutr & Obes Program IMDEA Food, Nutr Control Epigenome Grp, Madrid, Spain

[33] Univ San Pablo CEU, CEU Univ, Fac Farm, Dept Ciencias Farmaceut & Salud, Boadilla Del Monte, Spain

[34] Hosp Clin Barcelona, Inst Invest Biomed August Pi Sunyer IDIBAPS, Dept Endocrinol & Nutr, Lipid Clin, Barcelona, Spain

[35] Univ Hosp Virgen de Las Nieves, Prevent Med Unit, Inst Invest Biosanit Granada IBSGRANADA, Granada, Spain

[36] Serv Navarro Salud, Osasunbidea, Atenc Primaria, Pamplona, Spain

[37] Salut St Joan de Reus Baix Camp, ABS Reus V Ctr Assistencia Primaria Maria Fortuny, Reus, Spain

来源：

DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS | 2024年 / 18卷 / 09期

关键词：

Dietary patterns; Metabolic syndrome; Principal component analysis; Cluster analysis; Sex approach; CLUSTER-ANALYSIS; CARDIOVASCULAR RISK; MEDITERRANEAN DIET; PREVALENCE; DISEASE;

D O I：

10.1016/j.dsx.2024.103123

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

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.

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页数：9

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