"Traditional" and "Healthy" Dietary Patterns Are Associated with Low Cardiometabolic Risk in Brazilian Subjects.
Brenda Kelly Souza SilveiraJuliana Farias de NovaesNínive de Almeida ReisLarissa Pereira LourençoAna Helena Moretto CapobiangoSarah Aparecida Vieira RibeiroHelen Hermana Miranda HermsdorffPublished in: Cardiology research and practice (2018)
This study aimed at determining the dietary patterns and investigating their association with cardiometabolic risk markers in a brazilian population at risk. This transversal study was carried out with data of 265 patients (n = 123 M/172 W, age 42 ± 16 years) of the Cardiovascular Health Care Program-PROCARDIO-UFV, Brazil-who had their first appointment between 2012 and 2017. A 24-hour recall was applied. The dietary patterns were determined by Principal Component Analysis. Anthropometric, clinical-metabolic, sociodemographic, and lifestyle data were collected through medical record analysis. Five patterns were identified: "Traditional", "Caloric", "Unhealthy", "Healthy," and "Healthy Snacks". In bivariate analysis, the "Healthy" pattern was negatively associated with WC (waist circunference), BMI (body mass index), WHR (waist-to-hip ratio), SBP (systolic blood pressure), fasting glucose, TG/HDL, LDL/HDL, and TG/HDL values and positively to HDL. The "Traditional" pattern was positively associated with adiposity indicators (WC, BMI, and WHR) and negatively associated with body fat, TyG (triglyceride-glucose index), HDL, and LDL (P < 0.05). However, in adjusted models of Poisson regression, individuals with positive factor score (higher adherence) in the "Traditional" and "Healthy" patterns had less occurrence of abdominal obesity (PR 0.85; 95% CI 0.74-0.99/PR 0.88; 95% CI 0.02-0.76), as well as dyslipidemia (PR 0.06; 95% CI 0.02-0.51/PR 0.03; 95% CI 0.01-0.27), diabetes (PR 0.05; 95% CI 0.01-0.45/PR 0.02; 95% CI 0.01-021), and hypertension (PR 0.06; 95% CI 0.02-0.50/PR 0.02; 95% CI 0.01-0.21). A greater adherence to the "Healthy" pattern was associated with lower values to cardiometabolic risk markers and less occurrence of chronic diseases, while the "Traditional" pattern presented contradictory results.
Keyphrases
- body mass index
- blood pressure
- healthcare
- weight gain
- insulin resistance
- type diabetes
- blood glucose
- metabolic syndrome
- end stage renal disease
- cardiovascular disease
- heart failure
- electronic health record
- risk assessment
- ejection fraction
- physical activity
- weight loss
- glycemic control
- chronic kidney disease
- left ventricular
- big data
- peritoneal dialysis
- social media
- patient reported outcomes