Background
Current literature provides conflicting data regarding seasonal variability in dietary intake.
Objective
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 18–75 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 (12–15 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 BMI.
Results
Subjects had an average BMI of 25 ± 3.9 kg/m2 (mean ± SD) and average 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 2214.6 ± 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.