BACKGROUND: Current literature provides conflicting data regarding seasonal variability in dietary intake. OBJECTIVE: Our aim was to examine seasonal variation in dietary intake in healthy adults from the metropolitan Washington, DC, area. DESIGN: This study utilized an observational cohort design. PARTICIPANTS/ SETTING: Male and female healthy volunteers (n=103) between the ages of 18 and 75 years were recruited from the metropolitan Washington, DC, area to participate in a clinical study at the National Institutes of Health Clinical Center from February 2011 to June 2014. MAIN OUTCOME MEASURES: Three- to seven-day food records were collected from subjects (n=76) at three time points (12 to 15 weeks apart). Subjects were excluded from analysis (n=27) if they completed less than three time points. Food records were reviewed by nutrition staff, assigned to a season, and coded in Nutrient Data System for Research for energy, macronutrient, micronutrient, and food-group serving analysis. STATISTICAL ANALYSES: Multivariate general linear models were run on energy, macronutrient, micronutrient, and food-group intakes, while being adjusted for age, sex, race, and body mass index (calculated as kg/m(2)). RESULTS: Subjects had a mean±standard deviation body mass index of 25±3.9 and age of 34±12.4 years. Subject demographics were 71.1% white, 9.2% black/African American, 13.2% Asian, and 6.6% unknown race, with 44.7% males and 55.3% females. Mean intake of energy across seasons was 2,214.6±623.4 kcal with 17.3%±4.1%, 33.6%±5.5%, 46.6%±8.0%, and 2.7%±3.2% of calories from protein, fat, carbohydrate, and alcohol, respectively. Intakes of energy, macronutrients, micronutrients, and food groups did not differ between seasons. CONCLUSIONS: People living in the metropolitan Washington, DC, area did not exhibit seasonal variation in dietary intake. Therefore, when designing studies of nutrient intake in a metropolitan population, these findings suggest that investigators do not need to consider the season during which diet is examined. Published by Elsevier Inc.
BACKGROUND: Current literature provides conflicting data regarding seasonal variability in dietary intake. OBJECTIVE: Our aim was to examine seasonal variation in dietary intake in healthy adults from the metropolitan Washington, DC, area. DESIGN: This study utilized an observational cohort design. PARTICIPANTS/ SETTING: Male and female healthy volunteers (n=103) between the ages of 18 and 75 years were recruited from the metropolitan Washington, DC, area to participate in a clinical study at the National Institutes of Health Clinical Center from February 2011 to June 2014. MAIN OUTCOME MEASURES: Three- to seven-day food records were collected from subjects (n=76) at three time points (12 to 15 weeks apart). Subjects were excluded from analysis (n=27) if they completed less than three time points. Food records were reviewed by nutrition staff, assigned to a season, and coded in Nutrient Data System for Research for energy, macronutrient, micronutrient, and food-group serving analysis. STATISTICAL ANALYSES: Multivariate general linear models were run on energy, macronutrient, micronutrient, and food-group intakes, while being adjusted for age, sex, race, and body mass index (calculated as kg/m(2)). RESULTS: Subjects had a mean±standard deviation body mass index of 25±3.9 and age of 34±12.4 years. Subject demographics were 71.1% white, 9.2% black/African American, 13.2% Asian, and 6.6% unknown race, with 44.7% males and 55.3% females. Mean intake of energy across seasons was 2,214.6±623.4 kcal with 17.3%±4.1%, 33.6%±5.5%, 46.6%±8.0%, and 2.7%±3.2% of calories from protein, fat, carbohydrate, and alcohol, respectively. Intakes of energy, macronutrients, micronutrients, and food groups did not differ between seasons. CONCLUSIONS:People living in the metropolitan Washington, DC, area did not exhibit seasonal variation in dietary intake. Therefore, when designing studies of nutrient intake in a metropolitan population, these findings suggest that investigators do not need to consider the season during which diet is examined. Published by Elsevier Inc.
Authors: Jay H Fowke; David Schlundt; Yang Gong; Fan Jin; Xiao-Ou Shu; Wanqing Wen; Da-Ke Liu; Yu-Tang Gao; Wei Zheng Journal: Ann Epidemiol Date: 2004-11 Impact factor: 3.797
Authors: Tracy E Crane; Yasmin Abdel Latif; Betsy C Wertheim; Lindsay N Kohler; David O Garcia; Jinnie J Rhee; Rebecca Seguin; Rasa Kazlauskaite; James M Shikany; Cynthia A Thomson Journal: Am J Epidemiol Date: 2019-07-01 Impact factor: 4.897