Profiling Physical Activity, Diet, Screen and Sleep Habits in Portuguese Children

Nutrients

Sara Pereira⁴  Peter T. Katzmarzyk²  Thayse Natacha Gomes⁴  Alessandra Borges⁴  Daniel Santos⁴  Michele Souza⁴  Fernanda K. dos Santos¹  Raquel N. Chaves³  Catherine M. Champagne²  Tiago V. Barreira² 

[1] Department of Physical Education and Sports Science, CAV, Federal University of Pernambuco, Vitória de Santo Antão 55608-680, Brazil; E-Mail:;Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA 70808, USA; E-Mails:;Federal University of Technology—Paraná (UTFPR), Campus Curitiba, Curitiba 80230-901, Brazil; E-Mail:;CIFI²D, Faculty of Sport, University of Porto, Rua Plácido Costa, 91, 4200-450 Porto, Portugal; E-Mails:

关键词: unhealthy lifestyle behaviours;    latent classes;    youth;    ISCOLE;   

DOI  :  10.3390/nu7064345

来源: mdpi

【 摘 要 】

Obesity in children is partly due to unhealthy lifestyle behaviours, e.g., sedentary activity and poor dietary choices. This trend has been seen globally. To determine the extent of these behaviours in a Portuguese population of children, 686 children 9.5 to 10.5 years of age were studied. Our aims were to: (1) describe profiles of children’s lifestyle behaviours; (2) identify behaviour pattern classes; and (3) estimate combined effects of individual/socio-demographic characteristics in predicting class membership. Physical activity and sleep time were estimated by 24-h accelerometry. Nutritional habits, screen time and socio-demographics were obtained. Latent Class Analysis was used to determine unhealthy lifestyle behaviours. Logistic regression analysis predicted class membership. About 78% of children had three or more unhealthy lifestyle behaviours, while 0.2% presented no risk. Two classes were identified: Class 1-Sedentary, poorer diet quality; and Class 2-Insufficiently active, better diet quality, 35% and 65% of the population, respectively. More mature children (Odds Ratio (OR) = 6.75; 95%CI = 4.74–10.41), and boys (OR = 3.06; 95% CI = 1.98–4.72) were more likely to be overweight/obese. However, those belonging to Class 2 were less likely to be overweight/obese (OR = 0.60; 95% CI = 0.43–0.84). Maternal education level and household income did not significantly predict weight status (p ≥ 0.05).

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.