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Cluster patterns of behavioural risk factors among children: longitudinal associations with adult cardio-metabolic risk factors

Patterson, KAE ORCID: 0000-0003-0663-4154, Ferrar, K, Gall, SL ORCID: 0000-0002-5138-2526, Venn, A ORCID: 0000-0001-7090-1398, Blizzard, L ORCID: 0000-0002-9541-6943, Dwyer, T and Cleland, VJ ORCID: 0000-0001-8358-3237 2020 , 'Cluster patterns of behavioural risk factors among children: longitudinal associations with adult cardio-metabolic risk factors' , Preventive Medicine, vol. 130 , pp. 1-9 , doi: 10.1016/j.ypmed.2019.105861.

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Abstract

Much of what is known about childhood clusters of cardiovascular disease behavioural risk factors (RFs) comesfrom cross-sectional studies, providing little insight into the long-term health impacts of different behaviouralcluster profiles. This study aimed to establish the longitudinal relationship between cluster patterns of childhoodbehavioural RFs and adult cardio-metabolic RFs.Data were from an Australian prospective cohort study of 1265 participants measured in 1985 (ages9–15 yrs), and in 2004–06 (ages 26–36 yrs). At baseline, children self-reported smoking status, alcohol consumption, physical activity (PA), dietary behaviour and psychological well-being. At follow-up, participantscompleted questionnaires and attended study clinics where the following component indicators of the metabolicsyndrome (MetS) score were measured: waist circumference, blood pressure, fasting blood glucose and lipids.TwoStep cluster analyses were carried out to identify clusters in childhood. Linear regression was used to examine the longitudinal associations between cluster patterns of childhood behavioural RFs and adult cardiometabolic RFs.Four childhood cluster patterns of behavioural RFs labelled ‘most healthy’, ‘high PA’, ‘most unhealthy’, and‘breakfast skippers’ were identified. The unhealthier childhood clusters predicted a significantly higher adultMetS score (‘most unhealthy’: β = 0.10, 95%CI = 0.01, 0.19) and adult waist circumference (‘most unhealthy’:β = 2.29, 95%CI = 0.90, 6.67; ‘breakfast skippers’: β = 2.15, 95%CI = 0.30, 4.00). These associations wereindependent of adult behavioural RFs and socio-economic position.These findings emphasise the impact of multiple childhood behavioural RFs on important adult health outcomes and may be useful for the development of early intervention strategies, where identification of children athigher risk of poorer adult cardio-metabolic health is vital.

Item Type: Article
Authors/Creators:Patterson, KAE and Ferrar, K and Gall, SL and Venn, A and Blizzard, L and Dwyer, T and Cleland, VJ
Keywords: cluster analysis, youth, cardio-metabolic risk, young adulthood, prevention, metabolic syndrome
Journal or Publication Title: Preventive Medicine
Publisher: Elsevier BV
ISSN: 1096-0260
DOI / ID Number: 10.1016/j.ypmed.2019.105861
Copyright Information:

© 2019 Elsevier Inc. All rights reserved.

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