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- Title
Dairy Product Consumption and Metabolic Diseases in the Di@bet.es Study.
- Authors
Lago-Sampedro, Ana; García-Escobar, Eva; Rubio-Martín, Elehazara; Pascual-Aguirre, Nuria; Valdés, Sergio; Soriguer, Federico; Goday, Albert; Calle-Pascual, Alfonso; Castell, Conxa; Menéndez, Edelmiro; Delgado, Elías; Bordiú, Elena; Castaño, Luis; Franch-Nadal, Josep; Girbés, Juan; Chaves, Felipe Javier; Gaztambide, Sonia; Rojo-Martínez, Gemma; Olveira, Gabriel
- Abstract
To date it is not clear what the role of dairy products is in metabolic diseases like diabetes, obesity, and hypertension. Therefore, the aim of this study is to test the association between dairy product consumption and those pathologies. A cross-sectional study was conducted with 5081 adults included in the di@bet.es study, from 100 health centers around Spain. Food frequency questionnaires were carried out concerning consumption habits, which included dairy product consumption. Logistic regression models were used for the association analyses between the variables controlling confounding variables. Women had a higher consumption of milk, cheese, or yogurt than men (p < 0.0001), but men consumed more sugar dairy products (p < 0.001). People who live in the North of Spain consume more dairy products than those who live in the East. Dairy product consumption was inversely associated with the presence of hypertension regardless of age, sex, geographical region, and body mass index (BMI) (Odds Ratio (OR) 0.743; p = 0.022). The presence of obesity was inversely associated with dairy consumption regardless of age, sex, and geographical region (OR 0.61; p < 0.001). Milk consumption was not associated with diabetes. Our results show that consuming dairy products is associated with a better metabolic profile in the Spanish population.
- Subjects
SPAIN; METABOLIC disorder diagnosis; OBESITY; HYPERTENSION; DAIRY products; FOOD habits; HEALTH facilities; INGESTION; POPULATION geography; QUESTIONNAIRES; SEX distribution; LOGISTIC regression analysis; BODY mass index; CROSS-sectional method; ODDS ratio; DIAGNOSIS
- Publication
Nutrients, 2019, Vol 11, Issue 2, p262
- ISSN
2072-6643
- Publication type
Article
- DOI
10.3390/nu11020262