Citation: Journal of Nutrition. 142(2):284-91, 2012 Feb..Journal: The Journal of nutrition.ISSN: 0022-3166.Full author list: Horn LV; Tian L; Neuhouser ML; Howard BV; Eaton CB; Snetselaar L; Matthan NR; Lichtenstein AH.UI/PMID: 22190026.Subject(s): Aged | Aging | Case-Control Studies | Cluster Analysis | Coronary Disease/ep [Epidemiology] | *Coronary Disease/et [Etiology] | *Diet/ae [Adverse Effects] | Ethnic Groups | Female | *Food Habits | Humans | Logistic Models | Middle Aged | Odds Ratio | Principal Component Analysis | Risk Factors | Women's Health/sn [Statistics & Numerical Data] | *Women's HealthInstitution(s): MedStar Health Research InstituteActivity type: Journal Article.Medline article type(s): Journal Article | Research Support, N.I.H., ExtramuralOnline resources: Click here to access onlineDigital Object Identifier: http://dx.doi.org/10.3945/jn.111.145375 (Click here)Abbreviated citation: J Nutr. 142(2):284-91, 2012 Feb.Local Holdings: Available online from MWHC library: Sept 1928 - present (after 1 year).Abstract: Coronary heart disease (CHD) is the leading cause of death in women. A nested case-control study tested whether dietary patterns predicted CHD events among 1224 participants in the Women's Health Initiative-Observational Study (WHI-OS) with centrally confirmed CHD, fatal or nonfatal myocardial infarct compared to 1224 WHI-OS controls matched for age, enrollment date, race/ethnicity, and absence of CHD at baseline or follow-up. The first six principal components explained >75% of variation in dietary intakes and K-mean analysis based on these six components produced three clusters. Diet cluster 1 was rich in carbohydrate, vegetable protein, fiber, dietary vitamin K, folate, carotenoids, -linolenic acid [18:3(n-3)], linoleic acid [18:2(n-6)], and supplemental calcium and vitamin D. Diet cluster 2 was rich in total and animal protein, arachidonic acid [20:4(n-6)], DHA [22:6(n-3)], vitamin D, and calcium. Diet cluster 3 was rich in energy, total fat, and trans fatty acids (all P < 0.01). Conditional logistic regression analysis demonstrated diet cluster 1 was associated with lower CHD risk than diet cluster 2 (reference group) adjusted for smoking, education, and physical activity [OR = 0.79 (95% CI = 0.64, 0.99); P = 0.038]. This difference was not significant after adjustment for BMI and systolic blood pressure. Diet cluster 3 was associated with higher CHD risk than diet cluster 2 [OR = 1.28 (95% CI = 1.04, 1.57); P = 0.019], but this difference did not remain significant after adjustment for smoking, education, and physical activity. Within this WHI-OS cohort, distinct dietary patterns may be associated with subsequent CHD outcomes.