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Weekend versus weekday eating in HANDLS participants

Fanelli Kuczmarski M, Steinfeldt LC, Evans MK, Zonderman AB, Ling SM. Weekend versus weekday eating in HANDLS participants. Paper presented at the 32rd National Nutrient Databank Conference; 2008; Ottawa, Canada. 2008

Objectives: To compare weekend and weekday eating patterns and nutrient intakes in a preliminary sample of trie HANDLS baseline population. Material and Methods: HANDLS is a 20-year longitudinal study, investigating the influence of race and socioeconomic status on health. The recruitment goal for the baseline sample is 4,000 African-American and white adults ages 30-64, from 12 pre-determined census tracks in Baltimore. This analysis includes 697 subjects of whom 71% are African-American and 29% are white. Two 24-hour in-person dietary recalls are collected on these subjects using USDAs automated Multiple Pass Method. The first recall is collected in the home along with information on health status, psychosocial factors, and demographics. The second recall is collected in the medical research vehicle, at which time a medical examination, cognitive evaluation, assessments of body composition, muscle strength and bone density, and laboratory measurements are done. Results: Sixty-two percent of this group is below 125% of the poverty level. Fifty-one percent of white and 69% of African-American women are classified as overweight or obese based on their body mass index (BMI) > 25. Among the male population, 71% of white and 50% of African-American men are classified as overweight or obese using BMI. The mean estimated energy intake for men and women was 2372 ± 938 and 1760 ± 795 kcal, respectively. This analysis compared weekend (Friday through Sunday) versus weekday (Monday through Thursday) eating patterns by gender, race/ethnicity, obesity status, source of the food, and whether or not the food was eaten at home or away. Significance: Persistent and significant disparities in morbidity and mortality continue to exist between African-Americans and whites and for people of different socio-economic levels. Knowledge of eating patterns associated with low income obese populations can assist health care professionals in the development of effective intervention programs.




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