Annual and Seasonal Patterns of Dietary Intake in Australian Adults: A Prospective Cohort Study
Year: 2024
Type: article
Study design: Observational Study
Abstract: Poor diet is a major risk factor for non-communicable disease. The aims of this study were to describe temporal patterns and seasonal changes in diet across the year in Australian adults. A total of 375 adults from a prospective cohort study conducted between 1 December 2019 and 31 December 2021 in Adelaide, Australia, were asked to complete the Dietary Questionnaire for Epidemiological Studies at eight timepoints over a year. Average intakes over the previous month of total energy, macronutrients, healthy food groups, and discretionary foods and beverages were derived. Temporal patterns in diet were analysed descriptively. Multilevel linear regression modelling was used to assess seasonal differences in diet. Of the 375 participants recruited, 358 provided sufficient data for analysis. Intake of total energy, all macronutrients, and most discretionary foods and beverages peaked in December. Total energy intake was higher in summer than in autumn, winter, and spring. Fruit intake was higher in summer than in winter. Consumption of alcoholic beverages was higher in summer than in autumn, winter, and spring. Consumption of non-alcoholic beverages was higher in summer than in autumn and winter. This study identified temporal differences in dietary intake among Australian adults. Seasonal effects appear to be driven largely by increases in consumption of foods and beverages over the December (summer) holiday period. These findings can inform the design and timing of dietary interventions.
Source: Nutrients
DOI: 10.3390/nu16162718
Authors: Rachel G. Curtis, Gilly A. Hendrie, Ty Ferguson, Timothy Olds, François Fraysse, Dorothea Dumuid, Wendy J. Brown, Adrian Esterman, Carol A. Maher
Language: English
Topic: Nutritional Studies and Diet
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,296
Awards: Harnessing life-course transitions to optimise time-use behaviour habits, Evidence-based digital technologies for health behaviour, G3113386692, G3615398389, G4562616699, Annual rhythms in weight gain, activity and diet compositions in parents – identifying opportunities to prevent cycles of weight gain, G7568476929, G7792888032, G8367230772
OpenAlex ID: W4401612778
