, The Brazilian Criteria for Economic Classification, ABEP: The Brazilian Research Companies Association, 2006.

K. B. Adamo, . Ws, K. Belanger, and J. P. Chaput, 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.

C. C. Beck, . La, and F. Pitanga, Indicadores antropométricos como preditores de pressão arterial elevada em adolescentes, Arq Bras Cardiol, vol.96, 2011.

D. Corella and J. M. Ordovas, Biomarkers: background, classification and guidelines for applications in nutritional epidemiology, Nutr Hosp, vol.31, pp.177-188, 2015.

C. L. Craig, A. L. Marshall, and M. Sjostrom, International physical activity questionnaire: 12-country reliability and validity, Med Sci Sports Exerc, vol.35, pp.1381-1395, 2003.

C. Currie, M. Molcho, W. Boyce, B. Holstein, T. Torsheim et al., 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.

S. Delany-moretlwe, F. M. Cowan, J. Busza, C. Bolton-moore, K. Kelley et al., Providing comprehensive health services for young key populations: needs, barriers and gaps, J Int AIDS Soc, vol.18, issue.1, 2015.

M. Djordjevic-nikic and M. Dopsaj, 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.

F. J. Elgar, T. K. Pfortner, I. Moor, D. Clercq, B. Stevens et al., 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.

J. M. Fernandez-alvira, D. Bourdeaudhuij, I. S. Amika, and S. V. , 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.

K. Ferrar and R. Golley, Adolescent Diet and Time Use Clusters and Associations With Overweight and Obesity and Socioeconomic Position Health Educ Behav, 2015.

E. Gakidou, K. Cowling, R. Lozano, and C. J. Murray, 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.

M. Hagstromer, P. Bergman, D. Bourdeaudhuij, and I. , 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.

A. J. Hill, Motivation for eating behaviour in adolescent girls: the body beautiful, Proc Nutr Soc, vol.65, pp.376-384, 2006.

M. Hobbs, N. Pearson, P. J. Foster, and S. J. Biddle, Sedentary behaviour and diet across the lifespan: an updated systematic review, Br J Sports Med, 2014.

C. Iliescu, L. Beghin, and L. Maes, Socioeconomic questionnaire and clinical assessment in the HELENA Cross-Sectional Study: methodology, Int J Obes (Lond), vol.32, pp.19-25, 2008.

W. D. Johnson, J. J. Kroon, F. L. Greenway, C. Bouchard, D. Ryan et al., 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.

R. E. Kavey, . Ds, R. M. Lauer, D. L. Atkins, L. L. Hayman et al., 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.

R. M. Leech, S. A. Mcnaughton, and A. Timperio, 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.

N. Michels, L. Vynckier, and L. A. Moreno, Mediation of psychosocial determinants in the relation between socio-economic status and adolescents' diet quality, Eur J Nutr, vol.57, pp.951-963, 2018.

A. C. Moraes, T. R. Delaporte, C. A. Molena-fernandes, and M. C. Falcao, Factors associated with medicine use and self medication are different in adolescents, Clinics, vol.66, pp.1149-1155, 2011.

L. A. Moreno, D. Henauw, S. Gonzalez-gross, and M. , 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.

H. Murakami, R. Kawakami, S. Nakae, Y. Nakata, K. Ishikawa-takata et al., 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.

M. V. Nascimento-ferreira, T. S. Collese, A. C. De-moraes, T. Rendo-urteaga, L. A. Moreno et al., 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.

C. Ottevaere, I. Huybrechts, and J. Benser, 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

J. P. Rey-lopez, J. R. Ruiz, and F. B. Ortega, 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.

J. Rey-lopéz, G. Bueno, and L. A. Moreno, Sedentary Behaviors and Obesity in Children and Adolescents, vol.20, pp.367-376, 2011.

G. Rodenburg, A. Oenema, S. Kremers, and D. Van-de-mheen, 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.

D. Sabbe, D. Bourdeaudhuij, I. Legiest, E. Maes, and L. , A cluster-analytical approach towards physical activity and eating habits among 10-year-old children, Health Educ Res, vol.23, pp.753-762, 2008.

A. M. Santaliestra-pasias, T. Mouratidou, and L. Reisch, 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.

A. F. Seabra, D. M. Mendonca, M. A. Thomis, L. A. Anjos, and J. A. Maia, Biological and socio-cultural determinants of physical activity in adolescents, Cad Saude Publica, vol.24, pp.721-736, 2008.

J. R. Sirard, M. Bruening, M. M. Wall, M. E. Eisenberg, S. K. Kim et al., Physical activity and screen time in adolescents and their friends, Am J Prev Med, vol.44, pp.48-55, 2013.

J. Steinberger, S. R. Daniels, and N. Hagberg, 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.

D. Thivel, L. Isacco, and J. Aucouturier, Bedtime and Sleep Timing but not Sleep Duration Are Associated With Eating Habits in Primary School Children, J Dev Behav Pediatr, 2015.

C. A. Vereecken and L. Maes, 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.

C. G. Victora, S. R. Huttly, S. C. Fuchs, and M. T. Olinto, The role of conceptual frameworks in epidemiological analysis: a hierarchical approach, Int J Epidemiol, vol.26, pp.224-227, 1997.

R. M. Viner, E. M. Ozer, S. Denny, M. Marmot, M. Resnick et al., Adolescence and the social determinants of health, Lancet, vol.379, pp.1641-1652, 2012.

J. Ward, 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