title: Favorite foods of older adults living in the Black Belt Region of the United States. Influences of ethnicity, gender, and education.
abstract: The purpose of this study was to examine food preferences of older adults living in the Black Belt Region of the Southeastern United States and the extent to which food preferences vary according to ethnicity, gender, and educational level. 270 older adults who were receiving home health services were interviewed in their home and were queried regarding their favorite foods. Descriptive statistics were used to characterize the sample. Chi-square analysis or one-way analyses of variance was used, where appropriate, in bivariate analyses, and logistic regression models were used in multivariate analyses. A total of 1,857 favorite foods were reported (mean per person=6.88). The top ten favorite foods reported included: (1) chicken (of any kind), (2) collard greens, (3) cornbread, (4) green or string beans, (5) fish (fried catfish is implied), (6) turnip greens, (7) potatoes, (8) apples, (9) tomatoes, fried chicken, and eggs tied, and (10) steak and ice cream tied. African Americans and those with lower levels of education were more likely to report traditional Southern foods among their favorite foods and had a more limited repertoire of favorite foods. Findings have implications for understanding health disparities that may be associated with diet and development of culturally-appropriate nutrition interventions.
authors.affiliation: Department of Nutrition Sciences, University of Alabama at Birmingham UAB, 1720 2nd Avenue South, Birmingham, AL 35294-2041, USA.
authors.forename: Yongbin
authors.initials: Y
authors.lastname: Yang
authors.forename: David R
authors.initials: DR
authors.lastname: Buys
authors.forename: Suzanne E
authors.initials: SE
authors.lastname: Judd
authors.forename: Barbara A
authors.initials: BA
authors.lastname: Gower
authors.forename: Julie L
authors.initials: JL
authors.lastname: Locher
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data; D000368:Aged; D000369:Aged, 80 and over; D001213:Asian / Q000706:statistics & numerical data; D004032:Diet / Q000208:ethnology*; D004522:Educational Status; D005247:Feeding Behavior / Q000208:ethnology*; D005260:Female; D005518:Food Preferences / Q000208:ethnology*; D005638:Fruit; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012737:Sex Factors; D015144:Southeastern United States / Q000208:ethnology; D011795:Surveys and Questionnaires; D014675:Vegetables; D044465:White People / Q000706:statistics & numerical data