title: Identification of dietary patterns associated with blood pressure in a sample of overweight Australian adults.
abstract: The dietary approaches to stop hypertension (DASH) diet provides strong evidence for an optimal dietary pattern for blood pressure (BP) control; however, investigation at the level of key foods in a dietary pattern is sparse. This study aimed to assess the relationship between dietary patterns driven by key foods with BP in a sample of obese Australian adults. Secondary analysis was conducted on baseline data of 118 participants (45.1±8.4 years, mean BP=124.1±15.8/72.6±9.2 mm Hg) recruited in a weight reduction randomized controlled trial (ACTRN12608000425392). Dietary assessment was by a validated diet history interview. The average of three office BP measurements was taken. Factor analysis extracted dietary patterns and their relation to systolic BP (SBP) and diastolic BP (DBP) was analysed using multiple linear regression. Eight dietary patterns were identified based on leading foods: meat and alcohol; seafood; fats; fruits and nuts; legumes; confectionery; sweet foods; and yeast extracts and seasonings. A lower SBP was associated with alignment with the fruit and nuts pattern (β=-4.1 (95% confidence interval -7.5 to -0.7) mm Hg) and with seafood for DBP (β=-2.4 (-4.6 to -0.3) mm Hg). SBP and DBP were higher with yeast extract and seasonings (β=4.3 (1.4-7.3); 2.5 (0.9-4.0) mm Hg, respectively). In obese adults attending for weight loss, dietary patterns that included larger amounts of fruits and nuts and/or seafood were associated with lower BP at baseline, whereas patterns that were characterised by yeast extract and seasonings were associated with higher BP.
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: S
authors.initials: S
authors.lastname: Anil
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: K E
authors.initials: KE
authors.lastname: Charlton
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: L C
authors.initials: LC
authors.lastname: Tapsell
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: Y
authors.initials: Y
authors.lastname: Probst
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: R
authors.identifier: 0000-0002-5727-1712
authors.initials: R
authors.lastname: Ndanuko
authors.affiliation: School of Medicine, University of Wollongong, Northfields Avenue, Wollongong, NSW, Australia.
authors.forename: M J
authors.initials: MJ
authors.lastname: Batterham
mesh_terms: D000328:Adult; D001315:Australia / Q000453:epidemiology; D001794:Blood Pressure; D003430:Cross-Sectional Studies; D000072001:Diet, Healthy; D004435:Eating; D005163:Factor Analysis, Statistical; D005247:Feeding Behavior; D005260:Female; D006801:Humans; D006973:Hypertension / Q000175:diagnosis / Q000453:epidemiology / Q000503:physiopathology* / Q000517:prevention & control; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D050177:Overweight / Q000175:diagnosis / Q000178:diet therapy / Q000453:epidemiology / Q000523:psychology*; D065840:Protective Factors; D018570:Risk Assessment; D012307:Risk Factors; D013997:Time Factors; D016896:Treatment Outcome; D015431:Weight Loss; D055815:Young Adult