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The adiposity of children is associated with their lifestyle behaviours: a cluster analysis of school‐aged children from 12 nations
Author(s) -
Dumuid Dorothea,
Olds T.,
Lewis L. K.,
MartinFernández J. A.,
Barreira T.,
Broyles S.,
Chaput J.P.,
Fogelholm M.,
Hu G.,
Kuriyan R.,
Kurpad A.,
Lambert E. V.,
Maia J.,
Matsudo V.,
Onywera V. O.,
Sarmiento O. L.,
Standage M.,
Tremblay M. S.,
TudorLocke C.,
Zhao P.,
Katzmarzyk P.,
Gillison F.,
Maher C.
Publication year - 2018
Publication title -
pediatric obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.226
H-Index - 69
eISSN - 2047-6310
pISSN - 2047-6302
DOI - 10.1111/ijpo.12196
Subject(s) - medicine , obesity , body mass index , waist , childhood obesity , cluster (spacecraft) , psychological intervention , cross sectional study , physical activity , demography , screen time , sedentary lifestyle , environmental health , gerontology , overweight , physical therapy , endocrinology , pathology , psychiatry , sociology , computer science , programming language
Summary 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.