Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/133731
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Type: Journal article
Title: Annual rhythms in adults' lifestyle and health (ARIA): protocol for a 12-month longitudinal study examining temporal patterns in weight, activity, diet, and wellbeing in Australian adults
Author: Curtis, R.G.
Olds, T.
Fraysse, F.
Dumuid, D.
Hendrie, G.A.
Esterman, A.
Brown, W.J.
Ferguson, T.
Lagiseti, R.
Maher, C.A.
Citation: BMC Public Health, 2021; 21(1):70-1-70-8
Publisher: Springer Nature
Issue Date: 2021
ISSN: 1471-2458
1471-2458
Statement of
Responsibility: 
Rachel G. Curtis, Timothy Olds, François Fraysse, Dorothea Dumuid, Gilly A. Hendrie, Adrian Esterman, Wendy J. Brown, Ty Ferguson, Rajini Lagiseti and Carol A. Maher
Abstract: Background: Almost one in three Australian adults are now obese, and the rate continues to rise. The causes of obesity are multifaceted and include environmental, cultural and lifestyle factors. Emerging evidence suggests there may be temporal patterns in weight gain related, for example, to season and major festivals such as Christmas, potentially due to changes in diet, daily activity patterns or both. The aim of this study is to track the annual rhythm in body weight, 24 h activity patterns, dietary patterns, and wellbeing in a cohort of Australian adults. In addition, through data linkage with a concurrent children’s cohort study, we aim to examine whether changes in children’s body mass index, activity and diet are related to those of their parents. Methods: A community-based sample of 375 parents aged 18 to 65 years old, residing in or near Adelaide, Australia, and who have access to a Bluetooth-enabled mobile device or a computer and home internet, will be recruited. Across a full year, daily activities (minutes of moderate to vigorous physical activity, light physical activity, sedentary behaviour and sleep) will be measured using wrist-worn accelerometry (Fitbit Charge 3). Body weight will be measured daily using Fitbit wifi scales. Self-reported dietary intake (Dietary Questionnaire for Epidemiological Studies V3.2), and psychological wellbeing (WHOQOL-BREF and DASS-21) will be assessed eight times throughout the 12-month period. Annual patterns in weight will be examined using Lowess curves. Associations between changes in weight and changes in activity and diet compositions will be examined using repeated measures multi-level models. The associations between parent’s and children’s weight, activity and diet will be investigated using multi-level models. Discussion: Temporal factors, such as day type (weekday or weekend day), cultural celebrations and season, may play a key role in weight gain. The aim is to identify critical opportunities for intervention to assist the prevention of weight gain. Family-based interventions may be an important intervention strategy.
Keywords: Physical activity; sedentary behaviour; sleep; diet; weight; overweight; obesity; epidemiology; compositional data
Rights: © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data
DOI: 10.1186/s12889-020-10054-3
Grant ID: http://purl.org/au-research/grants/nhmrc/GNT1163338
http://purl.org/au-research/grants/nhmrc/1125913
http://purl.org/au-research/grants/nhmrc/GNT1162166
Published version: http://dx.doi.org/10.1186/s12889-020-10054-3
Appears in Collections:Medicine publications

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