Biomedical subjects

Regan L Bailey

Publications and source records attributed to Regan L Bailey.

3 recordsLinked to original sources

PubMed2007

Assessing the effect of underreporting energy intake on dietary patterns and weight status.

OBJECTIVES: To identify misreporting among older rural adults using a prediction algorithm and to compare dietary patterns of underreporters and plausible reporters. DESIGN: In this cross-sectional study, diet information was assessed by five 24-hour recalls collected over 10 months. All foods were classified into 24 food subgroups. Demographic, health, and anthropometric data were collected via home visit. SETTING: Rural Pennsylvania. SUBJECTS: One hundred seventy-nine community-dwelling adults, aged 66 to 87 years. STATISTICAL ANALYSIS: Cluster analysis. RESULTS: Underreporters (n=43) were more likely than plausible reporters (n=133) to be overweight and less educated but did not differ by sex. Underreporters consumed fewer servings across the majority of food groups. Two dietary patterns were determined for all and plausible reporters, in both cases one of higher and one of lower nutrient density. Using only plausible reporters to determine dietary patterns was very similar to using all reporters. The correlation between energy intake and weight status was improved for plausible-reporting women, but not men. CONCLUSIONS: Dietary patterns of plausible reporters were generally similar to that of all reporters; however, correlations with energy intake and weight status improved for women using only plausible reporters. Individuals may not accurately report dietary intake. Those obtaining diet reports should be aware of reporting errors before making decisions about dietary adequacy.

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PubMed2006

Comparative strategies for using cluster analysis to assess dietary patterns.

OBJECTIVES: To characterize dietary patterns using two different cluster analysis strategies. DESIGN: In this cross-sectional study, diet information was assessed by five 24-hour recalls collected over 10 months. All foods were classified into 24 food subgroups. Demographic, health, and anthropometric data were collected via home visit. SUBJECTS: One hundred seventy-nine community-dwelling adults, aged 66 to 87 years, in rural Pennsylvania. STATISTICAL ANALYSIS: Cluster analysis was performed. RESULTS: The methods differed in the food subgroups that clustered together. Both methods produced clusters that had significant differences in overall diet quality as assessed by Healthy Eating Index (HEI) scores. The clusters with higher HEI scores contained significantly higher amounts of most micronutrients. Both methods consistently clustered subgroups with high energy contribution (eg, fats and oils and dairy desserts) with a lower HEI score. Clusters resulting from the percent energy method were less likely to differentiate fruit and vegetable subgroups. The higher diet quality dietary pattern derived from the number of servings method resulted in more favorable weight status. CONCLUSIONS: Cluster analysis of food subgroups using two different methods on the same data yielded similarities and dissimilarities in dietary patterns. Dietary patterns characterized by the number of servings method of analysis provided stronger association with weight status and was more sensitive to fruit and vegetable intake with regard to a more healthful dietary pattern within this sample. Public health recommendations should evaluate the methodology used to derive dietary patterns.

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PubMed2004

Persistent oral health problems associated with comorbidity and impaired diet quality in older adults.

Chewing, swallowing, and mouth pain (CSP) are identified as indicators of nutritional risk in older adults. Previous research has shown that oral health problems in community-living older rural adults were associated with increased hospitalization. The purpose of this study was to characterize older adults with self-reported persistent CSP problems at baseline and one-year follow-up. Participants were from the Geisinger Rural Aging Study, either with persistent oral problems (PCSP; n=22) or without problems (NCSP; n=125). Demographic, health, and anthropometric data were collected via home visit; diet information was assessed by five, 24-hour recalls collected over 10 months. PCSP subjects reported almost twice the number of medications (4.2 vs 2.6, respectively, P=.008) and diseases (7.0 vs 4.2, respectively, P=.001), with higher occurrence of type 2 diabetes mellitus, peptic ulcers/gastritis, and angina. PCSP participants had lower Healthy Eating Index scores (66.6 vs 70.6, respectively, P=.04), significantly lower intakes of vitamin A, and higher prevalence of inadequate intakes of vitamins B-6 and A. These results indicate that impaired intake of certain foods and nutrients is associated with persistent oral health problems. Oral status is an important component of overall health and should be monitored for intervention.

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