Associations of the Mediterranean-Style Dietary Pattern Score with Coronary Artery Calcification and Pericardial Adiposity in a Sample of US Adults.
Leigh Ann RichardsonArpita BasuLung-Chang ChienAmy C AlmanJanet K Snell-BergeonPublished in: Nutrients (2022)
Several studies have identified improvements in the risks of cardiovascular disease in adults following a Mediterranean dietary pattern. However, data are scarce on its association with coronary artery calcification (CAC) and pericardial adiposity (PAT) in US adults with and without diabetes. To address this gap, we conducted a case-control study using baseline data from the Coronary Artery Calcification in Type 1 Diabetes (CACTI) study [ n = 1255; Type 1 Diabetes (T1D): n = 563; non-Diabetes Mellitus (non-DM): n = 692]. Participants completed a validated food frequency questionnaire, fasting (12 h overnight fast) biochemical analyses, and a physical examination including anthropometric measures. CAC and PAT were measured using electron beam-computed tomography. Logistic regression models were used to examine the associations of the Mediterranean-Style Dietary Pattern Score (MSDPS) with CAC (presence or absence), and linear regression models were applied to PAT analyses. In all of the adjusted models, no significant associations with CAC were found. For PAT, an increasing MSDPS was consistently associated with its lower volume in models adjusted for age, sex, diabetes status, total calories, and body mass index (all p < 0.05). The association between MSDPS and PAT was attenuated after adjusting for serum lipids and physical activity. In conclusion, the baseline data from the CACTI study show that a greater adherence to MSDPS is associated with a lower PAT volume and provide evidence that the Mediterranean dietary pattern is associated with lower cardiovascular risk markers.
Keyphrases
- type diabetes
- coronary artery
- glycemic control
- cardiovascular disease
- physical activity
- insulin resistance
- body mass index
- case control
- pulmonary artery
- computed tomography
- blood glucose
- chronic kidney disease
- electronic health record
- big data
- weight gain
- mental health
- body composition
- magnetic resonance imaging
- coronary artery disease
- magnetic resonance
- adipose tissue
- human health
- positron emission tomography
- blood pressure
- cross sectional
- skeletal muscle
- machine learning
- fatty acid
- cardiovascular risk factors
- psychometric properties