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Gender differences in the clustering patterns of risk behaviours associated with non-communicable diseases in Brazilian adolescents
Institution:1. Research Centre in Physical Activity and Health, Federal University of Santa Catarina, Florianopolis, Brazil;2. Research Centre in Physical Activity, Health and Leisure, University of Porto, Porto, Portugal;3. Australian Research Centre for Population Oral Health, School of Dentistry, University of Adelaide, Australia;1. Brown University, Center for Gerontology and Health Care Research, 121 South Main Street, Box G-S121-6, Providence, RI 02912, USA;2. Providence VA Medical Center, 830 Chalkstone Avenue, Providence, RI 02908, USA;1. Kaya Health and Demographic Surveillance System, Kaya, Burkina Faso;2. Research Institute of Health Sciences, Ouagadougou, Burkina Faso;3. African Institute of Public Health, Ouagadougou, Burkina Faso;4. Family Health Division, Lomé, Togo;1. Center for Excellence in Aging and Brain Repair,University of South Florida, Tampa, FL 33612, United States;2. Department of Neurosurgery and Brain Repair, University of South Florida, 12901 Bruce B. Downs Blvd, Tampa, FL 33612, United States;3. Department of Molecular Pharmacology and Physiology, University of South Florida, 12901 Bruce B. Downs Blvd, Tampa, FL 33612, United States
Abstract:ObjectiveThe aim of this study is to investigate gender differences in the clustering of risk behaviours associated with chronic non-communicable diseases in Brazilian adolescents.MethodsA cross-sectional survey was conducted in 2011 comprising 6529 adolescents aged 15–19 years from Santa Catarina State, Brazil. Excessive screen-time, insufficient moderate to vigorous physical activity (MVPA), low fruit/vegetable intake and consumption of alcohol were investigated. Poisson regression was performed in the analysis of sociodemographic factors associated with the clustering of three or more risk behaviours.ResultsGirls presented with higher insufficient MVPA (76.3%), while boys presented with lower fruit or vegetable intake (53.0%) and greater consumption of alcohol (40.8%). A total of 21.2% of the teenagers had one risk behaviour, 37.3% had two, 28.5% had three, and 8.0% had all of the measured risk behaviours. Adolescents who did not work and boys who lived in urban areas exhibited more risk behaviours, whereas girls aged 17–19 years old and boys who had mothers with ≥ 12 years of study exhibited fewer risk behaviours.ConclusionThere was a difference between genders for individual risk behaviours, and a high degree of clustering in both genders. Prevention programs could focus on these behaviours in order to reduce negative health outcomes in adolescents.
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