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Dietary patterns and diet quality among diverse older adults: the University of Alabama at Birmingham Study of Aging.
J Nutr Health Aging. 2013 Jan; 17(1):19-25.JN

Abstract

OBJECTIVES

To characterize dietary patterns among a diverse sample of older adults (≥ 65 years).

DESIGN

Cross-sectional.

SETTING

Five counties in west central Alabama.

PARTICIPANTS

Community-dwelling Medicare beneficiaries (N=416; 76.8 ± 5.2 years, 56% female, 39% African American) in the University of Alabama at Birmingham (UAB) Study of Aging.

MEASUREMENTS

Dietary data collected via three, unannounced 24-hour dietary recalls was used to identify dietary patterns. Foods were aggregated into 13 groups. Finite mixture modeling (FMM) was used to classify individuals into three dietary patterns. Differences across dietary patterns for nutrient intakes, sociodemographic, and anthropometric measurements were examined using chi-square and general linear models.

RESULTS

Three dietary patterns were derived. A "more healthful" dietary pattern, with relatively higher intakes of fruit, vegetables, whole grains, eggs, nuts, legumes and dairy, was associated with lower energy density, higher quality diets as determined by healthy eating index (HEI)-2005 scores and higher intakes of fiber, folate, vitamins C and B6, calcium, iron, magnesium, and zinc. The "western-like" pattern was defined by an intake of starchy vegetables, refined grains, meats, fried poultry and fish, oils and fats and was associated with lower HEI-2005 scores. The "low produce, high sweets" pattern was characterized by high saturated fat, and low dietary fiber and vitamin C intakes. The strongest predictors of better diet quality were female gender and non-Hispanic white race.

CONCLUSION

The dietary patterns identified may provide a useful basis on which to base dietary interventions targeted at older adults. Examination of nutrient intakes regardless of the dietary pattern suggests that older adults are not meeting nutrient recommendations and should continue to be encouraged to choose high quality diets.

Authors+Show Affiliations

Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA 16802, USA. glj1@psu.eduNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

23299373

Citation

Hsiao, P Y., et al. "Dietary Patterns and Diet Quality Among Diverse Older Adults: the University of Alabama at Birmingham Study of Aging." The Journal of Nutrition, Health & Aging, vol. 17, no. 1, 2013, pp. 19-25.
Hsiao PY, Mitchell DC, Coffman DL, et al. Dietary patterns and diet quality among diverse older adults: the University of Alabama at Birmingham Study of Aging. J Nutr Health Aging. 2013;17(1):19-25.
Hsiao, P. Y., Mitchell, D. C., Coffman, D. L., Allman, R. M., Locher, J. L., Sawyer, P., Jensen, G. L., & Hartman, T. J. (2013). Dietary patterns and diet quality among diverse older adults: the University of Alabama at Birmingham Study of Aging. The Journal of Nutrition, Health & Aging, 17(1), 19-25. https://doi.org/10.1007/s12603-012-0082-4
Hsiao PY, et al. Dietary Patterns and Diet Quality Among Diverse Older Adults: the University of Alabama at Birmingham Study of Aging. J Nutr Health Aging. 2013;17(1):19-25. PubMed PMID: 23299373.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Dietary patterns and diet quality among diverse older adults: the University of Alabama at Birmingham Study of Aging. AU - Hsiao,P Y, AU - Mitchell,D C, AU - Coffman,D L, AU - Allman,R M, AU - Locher,J L, AU - Sawyer,P, AU - Jensen,G L, AU - Hartman,T J, PY - 2013/1/10/entrez PY - 2013/1/10/pubmed PY - 2013/7/3/medline SP - 19 EP - 25 JF - The journal of nutrition, health & aging JO - J Nutr Health Aging VL - 17 IS - 1 N2 - OBJECTIVES: To characterize dietary patterns among a diverse sample of older adults (≥ 65 years). DESIGN: Cross-sectional. SETTING: Five counties in west central Alabama. PARTICIPANTS: Community-dwelling Medicare beneficiaries (N=416; 76.8 ± 5.2 years, 56% female, 39% African American) in the University of Alabama at Birmingham (UAB) Study of Aging. MEASUREMENTS: Dietary data collected via three, unannounced 24-hour dietary recalls was used to identify dietary patterns. Foods were aggregated into 13 groups. Finite mixture modeling (FMM) was used to classify individuals into three dietary patterns. Differences across dietary patterns for nutrient intakes, sociodemographic, and anthropometric measurements were examined using chi-square and general linear models. RESULTS: Three dietary patterns were derived. A "more healthful" dietary pattern, with relatively higher intakes of fruit, vegetables, whole grains, eggs, nuts, legumes and dairy, was associated with lower energy density, higher quality diets as determined by healthy eating index (HEI)-2005 scores and higher intakes of fiber, folate, vitamins C and B6, calcium, iron, magnesium, and zinc. The "western-like" pattern was defined by an intake of starchy vegetables, refined grains, meats, fried poultry and fish, oils and fats and was associated with lower HEI-2005 scores. The "low produce, high sweets" pattern was characterized by high saturated fat, and low dietary fiber and vitamin C intakes. The strongest predictors of better diet quality were female gender and non-Hispanic white race. CONCLUSION: The dietary patterns identified may provide a useful basis on which to base dietary interventions targeted at older adults. Examination of nutrient intakes regardless of the dietary pattern suggests that older adults are not meeting nutrient recommendations and should continue to be encouraged to choose high quality diets. SN - 1760-4788 UR - https://www.unboundmedicine.com/medline/citation/23299373/Dietary_patterns_and_diet_quality_among_diverse_older_adults:_the_University_of_Alabama_at_Birmingham_Study_of_Aging_ L2 - https://doi.org/10.1007/s12603-012-0082-4 DB - PRIME DP - Unbound Medicine ER -