, The Brazilian Criteria for Economic Classification, ABEP: The Brazilian Research Companies Association, 2006.
Later Bedtime is Associated with Greater Daily Energy Intake and Screen Time in Obese Adolescents Independent of Sleep Duration, J Sleep Disord Ther, vol.2, 2013. ,
Indicadores antropométricos como preditores de pressão arterial elevada em adolescentes, Arq Bras Cardiol, vol.96, 2011. ,
Biomarkers: background, classification and guidelines for applications in nutritional epidemiology, Nutr Hosp, vol.31, pp.177-188, 2015. ,
International physical activity questionnaire: 12-country reliability and validity, Med Sci Sports Exerc, vol.35, pp.1381-1395, 2003. ,
Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale, Soc Sci Med, vol.66, pp.1429-1436, 2008. ,
Providing comprehensive health services for young key populations: needs, barriers and gaps, J Int AIDS Soc, vol.18, issue.1, 2015. ,
Characteristics of eating habits and physical activity in relation to body mass index among adolescents, J Am Coll Nutr, vol.32, pp.224-233, 2013. ,
Socioeconomic inequalities in adolescent health 2002-2010: a time-series analysis of 34 countries participating in the Health Behaviour in School-aged Children study Lancet, 2015. ,
Clustering of energy balance-related behaviors and parental education in European children: the ENERGY-project, Int J Behav Nutr Phys Act, vol.10, p.5, 2013. ,
Adolescent Diet and Time Use Clusters and Associations With Overweight and Obesity and Socioeconomic Position Health Educ Behav, 2015. ,
Increased educational attainment and its effect on child mortality in 175 countries between 1970 and 2009: a systematic analysis, In: Lancet, vol, vol.376, issue.10, pp.61257-61260, 2010. ,
Concurrent validity of a modified version of the International Physical Activity Questionnaire (IPAQ-A) in European adolescents: The HELENA Study, Int J Obes (Lond), vol.32, pp.42-48, 2008. ,
Motivation for eating behaviour in adolescent girls: the body beautiful, Proc Nutr Soc, vol.65, pp.376-384, 2006. ,
Sedentary behaviour and diet across the lifespan: an updated systematic review, Br J Sports Med, 2014. ,
Socioeconomic questionnaire and clinical assessment in the HELENA Cross-Sectional Study: methodology, Int J Obes (Lond), vol.32, pp.19-25, 2008. ,
Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), Arch Pediatr Adolesc Med, vol.163, pp.371-377, 2001. ,
Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part II: qualitative studies, Int J Behav Nutr Phys Act, vol.8, p.112, 2003. ,
The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review Int, J Behav Nutr Phys Act, vol.11, p.4, 2014. ,
Mediation of psychosocial determinants in the relation between socio-economic status and adolescents' diet quality, Eur J Nutr, vol.57, pp.951-963, 2018. ,
Factors associated with medicine use and self medication are different in adolescents, Clinics, vol.66, pp.1149-1155, 2011. ,
Design and implementation of the Healthy Lifestyle in Europe by Nutrition in Adolescence Cross-Sectional Study, Int J Obes (Lond), vol.32, pp.4-11, 2008. ,
Accuracy of Wearable Devices for Estimating Total Energy Expenditure: Comparison With Metabolic Chamber and Doubly Labeled Water Method, JAMA Intern Med, vol.176, pp.702-703, 2016. ,
Validity and reliability of sleep time questionnaires in children and adolescents: A systematic review and meta-analysis, Sleep Med Rev, vol.30, pp.85-96, 2015. ,
Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA study, BMC Public Health, vol.11, p.328, 2011. ,
URL : https://hal.archives-ouvertes.fr/inserm-00622814
Reliability and validity of a screen time-based sedentary behaviour questionnaire for adolescents: The HELENA study, Eur J Public Health, vol.22, pp.373-377, 2012. ,
, Sedentary Behaviors and Obesity in Children and Adolescents, vol.20, pp.367-376, 2011.
Clustering of diet-and activity-related parenting practices: cross-sectional findings of the INPACT study %U, International Journal of Behavioral Nutrition and Physical Activity, vol.10, p.36, 2013. ,
A cluster-analytical approach towards physical activity and eating habits among 10-year-old children, Health Educ Res, vol.23, pp.753-762, 2008. ,
Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study, Eur J Clin Nutr, vol.69, pp.811-816, 2015. ,
Biological and socio-cultural determinants of physical activity in adolescents, Cad Saude Publica, vol.24, pp.721-736, 2008. ,
Physical activity and screen time in adolescents and their friends, Am J Prev Med, vol.44, pp.48-55, 2013. ,
Cardiovascular Health Promotion in Children: Challenges and Opportunities for 2020 and Beyond: A Scientific Statement From the, American Heart Association Circulation, vol.134, pp.236-255, 2016. ,
Bedtime and Sleep Timing but not Sleep Duration Are Associated With Eating Habits in Primary School Children, J Dev Behav Pediatr, 2015. ,
A Belgian study on the reliability and relative validity of the Health Behaviour in School-Aged Children food-frequency questionnaire, Public Health Nutr, vol.6, pp.581-588, 2003. ,
The role of conceptual frameworks in epidemiological analysis: a hierarchical approach, Int J Epidemiol, vol.26, pp.224-227, 1997. ,
Adolescence and the social determinants of health, Lancet, vol.379, pp.1641-1652, 2012. ,
HIERARCHICAL GROUPING TO OPTIMIZE AN OBJECTIVE FUNCTION, Journal of the American Statistical Association, vol.58, p.236, 1963. ,
, Core competencies in adolescent health and development for primary care providers: including a tool to assess the adolescent health and development component in pre-service education of health-care providers, WHO, 2015.
, BRACAH: Brazilian Cardiovascular Adolescent Health Study; HELENA: Healthy Lifestyle in Europe by Nutrition in Adolescence Study; EBRB: Energy Balance, *Significant associations based on multilevel regression test and Bonferroni Correction (P<0.017 for Socioeconomic Status