A latent profile analysis of sedentary and physical activity patterns

Wang, C. K. John and Liu, Woon Chia and Lim, B. S. Coral and Biddle, Stuart J. H. ORCID: https://orcid.org/0000-0002-7663-6895 (2012) A latent profile analysis of sedentary and physical activity patterns. Journal of Public Health, 20 (4). pp. 367-373. ISSN 2198-1833


Aim: The aim of the current study was to examine the physical activity and sedentary behavioral patterns of children and adolescents using the model-based latent profile analysis (LPA) approach. Subject and methods: A sample of 847 school children aged 10 to 16 years from 28 Singapore schools took part in the study. Physical activity and sedentary behavior were assessed using a 7-day physical activity recall questionnaire. Results: The findings of the present study showed that there were at least five groups of students with unique sedentary and physical activity patterns. A few clusters were genderspecific. For example, groups 1 and 4 were femaledominated clusters and group 3 was male-dominated. The younger children in the primary school had different sedentary and physical activity behaviors. Conclusions: This study demonstrates the use of LPA to group individuals into homogenous groupings in order to help researchers make informed decisions about the number of underlying groupings. This can have benefits for targeting specific groups in interventions. © Springer-Verlag 2011.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: No Faculty
Faculty/School / Institute/Centre: No Faculty
Date Deposited: 11 May 2017 05:57
Last Modified: 11 May 2017 05:57
Uncontrolled Keywords: Children and adolescents; Clustering; Latent profile analysis; Physical activity; Sedentary behavior; Public Health, Social Medicine and Epidemiology; Pediatrics and Pediatric Surgery;
Fields of Research (2008): 11 Medical and Health Sciences > 1106 Human Movement and Sports Science > 110602 Exercise Physiology
Fields of Research (2020): 42 HEALTH SCIENCES > 4207 Sports science and exercise > 420702 Exercise physiology
Socio-Economic Objectives (2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: https://doi.org/10.1007/s10389-011-0464-9
URI: http://eprints.usq.edu.au/id/eprint/31850

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