Dietary patterns and diet quality among diverse older adults: The university of Alabama at Birmingham study of aging

Pao Ying Hsiao, Diane Crisman Mitchell, D. L. Coffman, R. M. Allman, J. L. Locher, P. Sawyer, Gordon Lee Jensen, Terryl Johnson Hartman

Research output: Contribution to journalArticle

38 Citations (Scopus)

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 "Westernlike" 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.

Original languageEnglish (US)
Pages (from-to)19-25
Number of pages7
JournalJournal of Nutrition, Health and Aging
Volume17
Issue number1
DOIs
StatePublished - Jan 1 2013

Fingerprint

Diet
Food
Vegetables
Ascorbic Acid
Fats
Independent Living
Vitamin B 6
Nuts
Fish Oils
Dietary Fiber
Poultry
Medicare
Folic Acid
Fabaceae
African Americans
Meat
Magnesium
Eggs
Zinc
Linear Models

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Nutrition and Dietetics
  • Geriatrics and Gerontology

Cite this

Hsiao, Pao Ying ; Mitchell, Diane Crisman ; Coffman, D. L. ; Allman, R. M. ; Locher, J. L. ; Sawyer, P. ; Jensen, Gordon Lee ; Hartman, Terryl Johnson. / Dietary patterns and diet quality among diverse older adults : The university of Alabama at Birmingham study of aging. In: Journal of Nutrition, Health and Aging. 2013 ; Vol. 17, No. 1. pp. 19-25.
@article{096e8255ec824049bfc3ee0356789b47,
title = "Dietary patterns and diet quality among diverse older adults: The university of Alabama at Birmingham study of aging",
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 {"}Westernlike{"} 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.",
author = "Hsiao, {Pao Ying} and Mitchell, {Diane Crisman} and Coffman, {D. L.} and Allman, {R. M.} and Locher, {J. L.} and P. Sawyer and Jensen, {Gordon Lee} and Hartman, {Terryl Johnson}",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/s12603-012-0082-4",
language = "English (US)",
volume = "17",
pages = "19--25",
journal = "Journal of Nutrition, Health and Aging",
issn = "1279-7707",
publisher = "Springer Paris",
number = "1",

}

Dietary patterns and diet quality among diverse older adults : The university of Alabama at Birmingham study of aging. / Hsiao, Pao Ying; Mitchell, Diane Crisman; Coffman, D. L.; Allman, R. M.; Locher, J. L.; Sawyer, P.; Jensen, Gordon Lee; Hartman, Terryl Johnson.

In: Journal of Nutrition, Health and Aging, Vol. 17, No. 1, 01.01.2013, p. 19-25.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Dietary patterns and diet quality among diverse older adults

T2 - The university of Alabama at Birmingham study of aging

AU - Hsiao, Pao Ying

AU - Mitchell, Diane Crisman

AU - Coffman, D. L.

AU - Allman, R. M.

AU - Locher, J. L.

AU - Sawyer, P.

AU - Jensen, Gordon Lee

AU - Hartman, Terryl Johnson

PY - 2013/1/1

Y1 - 2013/1/1

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 "Westernlike" 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.

AB - 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 "Westernlike" 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.

UR - http://www.scopus.com/inward/record.url?scp=84872499763&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872499763&partnerID=8YFLogxK

U2 - 10.1007/s12603-012-0082-4

DO - 10.1007/s12603-012-0082-4

M3 - Article

C2 - 23299373

AN - SCOPUS:84872499763

VL - 17

SP - 19

EP - 25

JO - Journal of Nutrition, Health and Aging

JF - Journal of Nutrition, Health and Aging

SN - 1279-7707

IS - 1

ER -