The adiposity of children is associated with their lifestyle behaviors: a cluster analysis of school-aged children from 12 nations
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Date
2016
Authors
Dumuid, D.
Olds, T.
Lewis, L. K.
Martin-Fernández, J. A.
Barreira, T.
Broyles, S.
Chaput, J-P.
Fogelholm, M.
Hu, G.
Kuriyan, R.
Journal Title
Journal ISSN
Volume Title
Publisher
World Obesity Federation
Abstract
Background: The relationship between children’s adiposity and lifestyle behaviour
patterns is an area of growing interest.
Objectives: The objectives of this study are to identify clusters of children based
on lifestyle behaviours and compare children’s adiposity among clusters.
Methods: Cross-sectional data from the International Study of Childhood
Obesity, Lifestyle and the Environment were used. Participants: the participants
were children (9–11 years) from 12 nations (n = 5710). Measures: 24-h
accelerometry and self-reported diet and screen time were clustering input
variables. Objectively measured adiposity indicators were waist-to-height ratio,
percent body fat and body mass index z-scores. Analysis: sex-stratified analyses
were performed on the global sample and repeated on a site-wise basis. Cluster
analysis (using isometric log ratios for compositional data) was used to identify
common lifestyle behaviour patterns. Site representation and adiposity were
compared across clusters using linear models.
Results: Four clusters emerged: (1) Junk Food Screenies, (2) Actives, (3) Sitters
and (4) All-Rounders. Countries were represented differently among clusters.
Chinese children were over-represented in Sitters and Colombian children in Actives.
Adiposity varied across clusters, being highest in Sitters and lowest in Actives.
Conclusions: Children from different sites clustered into groups of similar lifestyle
behaviours. Cluster membership was linked with differing adiposity. Findings
support the implementation of activity interventions in all countries, targeting both
physical activity and sedentary time.
Description
Research Article
Keywords
Lifestyle behaviours, Diet, Obesity, Compositional analysis.