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Dietary patterns of rural older adults are associated with weight and nutritional status.
J Am Geriatr Soc. 2004 Apr; 52(4):589-95.JA

Abstract

OBJECTIVES

To characterize dietary patterns of rural older adults and relate patterns to weight and nutritional status.

DESIGN

Cross-sectional.

SETTING

Rural Pennsylvania.

PARTICIPANTS

One hundred seventy-nine community-dwelling adults aged 66 to 87 years.

MEASUREMENTS

A home visit was conducted to collect demographic, health behavior, and anthropometric data and a blood sample. Five 24-hour dietary recall were administered. Cluster analysis classified participants into dietary patterns using food subgroup servings. Chi-square, analysis of covariance, and logistic regression were used to assess differences across clusters.

RESULTS

A low-nutrient-dense cluster (n=107), with higher intake of breads, sweet breads/desserts, dairy desserts, processed meats, eggs, and fats/oils, and a high-nutrient-dense cluster (n=72) with higher intake of cereals, dark green/yellow vegetables, other vegetables, citrus/melons/berries, fruit juices, other fruits, milks, poultry, fish, and beans, were identified. Those in the high-nutrient-dense cluster had lower energy intake; higher energy-adjusted intake of fiber, iron, zinc, folate, and vitamins B(6), B(12), and D; higher Healthy Eating Index scores; higher plasma vitamin B(12) levels; and a lower waist circumference. Those with a low-nutrient-dense dietary pattern were twice as likely to be obese, twice as likely to have low plasma vitamin B(12) levels, and three to 17 times more likely to have low nutrient intake.

CONCLUSION

This study provides support for recommending a high-nutrient-dense dietary pattern for older adults. Behavioral interventions encouraging diets characterized by high-nutrient-dense foods may improve weight and nutritional status of older adults.

Authors+Show Affiliations

Department of Nutritional Sciences, Pennsylvania State University, University Park, Pennsylvania 16802, USA.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

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

Language

eng

PubMed ID

15066076

Citation

Ledikwe, Jenny H., et al. "Dietary Patterns of Rural Older Adults Are Associated With Weight and Nutritional Status." Journal of the American Geriatrics Society, vol. 52, no. 4, 2004, pp. 589-95.
Ledikwe JH, Smiciklas-Wright H, Mitchell DC, et al. Dietary patterns of rural older adults are associated with weight and nutritional status. J Am Geriatr Soc. 2004;52(4):589-95.
Ledikwe, J. H., Smiciklas-Wright, H., Mitchell, D. C., Miller, C. K., & Jensen, G. L. (2004). Dietary patterns of rural older adults are associated with weight and nutritional status. Journal of the American Geriatrics Society, 52(4), 589-95.
Ledikwe JH, et al. Dietary Patterns of Rural Older Adults Are Associated With Weight and Nutritional Status. J Am Geriatr Soc. 2004;52(4):589-95. PubMed PMID: 15066076.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Dietary patterns of rural older adults are associated with weight and nutritional status. AU - Ledikwe,Jenny H, AU - Smiciklas-Wright,Helen, AU - Mitchell,Diane C, AU - Miller,Carla K, AU - Jensen,Gordon L, PY - 2004/4/7/pubmed PY - 2004/5/14/medline PY - 2004/4/7/entrez SP - 589 EP - 95 JF - Journal of the American Geriatrics Society JO - J Am Geriatr Soc VL - 52 IS - 4 N2 - OBJECTIVES: To characterize dietary patterns of rural older adults and relate patterns to weight and nutritional status. DESIGN: Cross-sectional. SETTING: Rural Pennsylvania. PARTICIPANTS: One hundred seventy-nine community-dwelling adults aged 66 to 87 years. MEASUREMENTS: A home visit was conducted to collect demographic, health behavior, and anthropometric data and a blood sample. Five 24-hour dietary recall were administered. Cluster analysis classified participants into dietary patterns using food subgroup servings. Chi-square, analysis of covariance, and logistic regression were used to assess differences across clusters. RESULTS: A low-nutrient-dense cluster (n=107), with higher intake of breads, sweet breads/desserts, dairy desserts, processed meats, eggs, and fats/oils, and a high-nutrient-dense cluster (n=72) with higher intake of cereals, dark green/yellow vegetables, other vegetables, citrus/melons/berries, fruit juices, other fruits, milks, poultry, fish, and beans, were identified. Those in the high-nutrient-dense cluster had lower energy intake; higher energy-adjusted intake of fiber, iron, zinc, folate, and vitamins B(6), B(12), and D; higher Healthy Eating Index scores; higher plasma vitamin B(12) levels; and a lower waist circumference. Those with a low-nutrient-dense dietary pattern were twice as likely to be obese, twice as likely to have low plasma vitamin B(12) levels, and three to 17 times more likely to have low nutrient intake. CONCLUSION: This study provides support for recommending a high-nutrient-dense dietary pattern for older adults. Behavioral interventions encouraging diets characterized by high-nutrient-dense foods may improve weight and nutritional status of older adults. SN - 0002-8614 UR - https://www.unboundmedicine.com/medline/citation/15066076/Dietary_patterns_of_rural_older_adults_are_associated_with_weight_and_nutritional_status_ L2 - https://onlinelibrary.wiley.com/resolve/openurl?genre=article&sid=nlm:pubmed&issn=0002-8614&date=2004&volume=52&issue=4&spage=589 DB - PRIME DP - Unbound Medicine ER -