Top

Published in:

01-03-2019 | Original Article

How do energy balance-related behaviors cluster in adolescents?

Authors: Tatiana Sadalla Collese, Augusto César Ferreira De Moraes, Juan Miguel Fernández-Alvira, Nathalie Michels, Stefaan De Henauw, Yannis Manios, Odysseas Androutsos, Anthony Kafatos, Kurt Widhalm, Myriam Galfo, Laurent Beghin, Michael Sjöström, Raquel Pedrero-Chamizo, Heráclito Barbosa Carvalho, Luis A. Moreno, the HELENA Study Group

Published in: International Journal of Public Health | Issue 2/2019

Abstract

Objectives

To delineate the clustering of energy balance-related behaviors in adolescents and investigate whether these behaviors are associated with the household socioeconomic status and parental education level.

Methods

Two cross-sectional studies assessed information on sedentary behavior, physical activity, sugar-sweetened beverages and fruit and vegetable consumption, and sleep duration by self-reported questionnaires in adolescents (12.5–17.5 years old) from Maringá/Brazil (BRACAH Study; n = 682) and ten European cities (HELENA Study; n = 1252) from nine different countries. Gender-specific cluster analyses were performed separately for each study, applying a combination of hierarchical and non-hierarchical methods.

Results

Girls showed equivalent behaviors: Sedentary; Active; Unhealthy Eating; Healthy Eating; while boys differed (Brazilian: Sedentary; Active; Healthy Eating; European: Sedentary; Healthy; Unhealthy Eating). In Brazil, we found no association between socioeconomic status and parental education. In European girls, the high socioeconomic status and both parents’ university degree were associated with Healthy Eating. In European boys, the high socioeconomic status was associated with Unhealthy Eating, and the mothers’ university degree was associated with the Healthy cluster.

Conclusions

Adolescents show Sedentary behavior, regardless of their sex, country of origin, or socioeconomic condition.

ABEP: The Brazilian Research Companies Association (2006). The Brazilian Criteria for Economic Classification (CCEB). http://www.abep.org/codigos-e-guias-da-abep. Accessed 30 June 2011

Adamo KB, Wilson S, Belanger K, Chaput JP (2013) Later bedtime is associated with greater daily energy intake and screen time in obese adolescents independent of sleep duration. J Sleep Disord Ther 2:2167-0277CrossRef

Beck CC, da Silva Lopes A, Pitanga FJG (2011) Indicadores antropométricos como preditores de pressão arterial elevada em adolescentes. Arq Bras Cardiol 96:126–133CrossRefPubMed

Corella D, Ordovas JM (2015) Biomarkers: background, classification and guidelines for applications in nutritional epidemiology. Nutr Hosp 31(Suppl 3):177–188. https://doi.org/10.3305/nh.2015.31.sup3.8765 CrossRefPubMed

Craig CL, Marshall AL, Sjostrom M et al (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35:1381–1395. https://doi.org/10.1249/01.mss.0000078924.61453 CrossRefPubMed

Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M (2008) Researching health inequalities in adolescents: the development of the Health Behaviour in School-Aged Children (HBSC) family affluence scale. Soc Sci Med 66(6):1429–1436. https://doi.org/10.1016/j.socscimed.2007.11.024 CrossRefPubMed

Delany-Moretlwe S, Cowan FM, Busza J, Bolton-Moore C, Kelley K, Fairlie L (2015) Providing comprehensive health services for young key populations: needs, barriers and gaps. J Int AIDS Soc 18(Suppl 1):19833PubMedPubMedCentral

Djordjevic-Nikic M, Dopsaj M (2013) Characteristics of eating habits and physical activity in relation to body mass index among adolescents. J Am Coll Nutr 32:224–233. https://doi.org/10.1080/07315724.2013.791149 CrossRefPubMed

Elgar FJ, Pfortner TK, Moor I, De Clercq B, Stevens GW, Currie C (2015) 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. https://doi.org/10.1016/s0140-6736(14)61460-4 CrossRefPubMed

Fernandez-Alvira JM, De Bourdeaudhuij IS, Amika SV et al (2013) Clustering of energy balance-related behaviors and parental education in European children: the ENERGY-project. Int J Behav Nutr Phys Act 10:5. https://doi.org/10.1186/1479-5868-10-5 CrossRefPubMedPubMedCentral

Ferrar K, Golley R (2015) Adolescent diet and time use clusters and associations with overweight and obesity and socioeconomic position. Health Educ Behav. https://doi.org/10.1177/1090198114560017 CrossRefPubMed

Gakidou E, Cowling K, Lozano R, Murray CJ (2010) Increased educational attainment and its effect on child mortality in 175 countries between 1970 and 2009: a systematic analysis. Lancet 376(9745):959–974. https://doi.org/10.1016/s0140-6736(10)61257-3 CrossRefPubMed

Hagstromer M, Bergman P, De Bourdeaudhuij I et al (2008) Concurrent validity of a modified version of the International Physical Activity Questionnaire (IPAQ-A) in European adolescents: The HELENA Study. Int J Obes (Lond) 32(Suppl 5):S42–48. https://doi.org/10.1038/ijo.2008.182 CrossRef

Hill AJ (2006) Motivation for eating behaviour in adolescent girls: the body beautiful. Proc Nutr Soc 65:376–384CrossRefPubMed

Hobbs M, Pearson N, Foster PJ, Biddle SJ (2014) Sedentary behaviour and diet across the lifespan: an updated systematic review. Br J Sports Med 1:1. https://doi.org/10.1136/bjsports-2014-093754 CrossRef

Iliescu C, Beghin L, Maes L et al (2008) Socioeconomic questionnaire and clinical assessment in the HELENA Cross-Sectional Study: methodology. Int J Obes (Lond) 32(Suppl 5):S19–S25. https://doi.org/10.1038/ijo.2008.178 CrossRef

Johnson WD, Kroon JJ, Greenway FL, Bouchard C, Ryan D, Katzmarzyk PT (2009) Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001–2006. Arch Pediatr Adolesc Med 163:371–377. https://doi.org/10.1001/archpediatrics.2009.3 CrossRefPubMed

Kavey RE, Daniels SR, Lauer RM, Atkins DL, Hayman LL, Taubert K (2003) American Herat Association guidelines for primary prevention of atherosclerotic cardiovascular disease beginning in childhood. Circulation 107:1562–1566CrossRefPubMed

Krolner R, Rasmussen M, Brug J, Klepp KI, Wind M, Due P (2011) 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 8:112. https://doi.org/10.1186/1479-5868-8-112 CrossRefPubMedPubMedCentral

Leech RM, McNaughton SA, Timperio A (2014) The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J Behav Nutr Phys Act 11:4. https://doi.org/10.1186/1479-5868-11-4 CrossRefPubMedPubMedCentral

Michels N, Vynckier L, Moreno LA et al (2018) Mediation of psychosocial determinants in the relation between socio-economic status and adolescents’ diet quality. Eur J Nutr 57:951–963. https://doi.org/10.1007/s00394-017-1380-8 CrossRefPubMed

Moraes AC, Delaporte TR, Molena-Fernandes CA, Falcao MC (2011) Factors associated with medicine use and self medication are different in adolescents. Clinics (Sao Paulo) 66:1149–1155CrossRef

Moreno LA, De Henauw S, Gonzalez-Gross M et al (2008) Design and implementation of the healthy lifestyle in Europe by nutrition in adolescence cross-sectional study. Int J Obes (Lond) 32(Suppl 5):S4–11. https://doi.org/10.1038/ijo.2008.177 CrossRef

Murakami H, Kawakami R, Nakae S, Nakata Y, Ishikawa-Takata K, Tanaka S, Miyachi M (2016) Accuracy of wearable devices for estimating total energy expenditure: comparison with metabolic chamber and doubly labeled water method. JAMA Intern Med 176:702–703. https://doi.org/10.1001/jamainternmed.2016.0152 CrossRefPubMed

Nascimento-Ferreira MV, Collese TS, de Moraes AC, Rendo-Urteaga T, Moreno LA, Carvalho HB (2015) Validity and reliability of sleep time questionnaires in children and adolescents: a systematic review and meta-analysis. Sleep Med Rev 30:85–96. https://doi.org/10.1016/j.smrv.2015.11.006 CrossRefPubMed

Ottevaere C, Huybrechts I, Benser J et al (2011) Clustering patterns of physical activity, sedentary and dietary behavior among European adolescents: The HELENA study. BMC Public Health 11:328. https://doi.org/10.1186/1471-2458-11-328 CrossRefPubMedPubMedCentral

Rey-Lopez JP, Ruiz JR, Ortega FB et al (2012) Reliability and validity of a screen time-based sedentary behaviour questionnaire for adolescents: The HELENA study. Eur J Public Health 22:373–377. https://doi.org/10.1093/eurpub/ckr040 CrossRefPubMed

Rey-Lopéz JP, Vicente-Rodríguez G, Bueno G, Moreno LA (2011) Chapter 20: sedentary behaviors and obesity in children and adolescents. In: Moreno L, Pigeot I, Ahrens W (eds) Epidemiology of obesity in children and adolescents, SeraPH, vol 2. Springer, New York, pp 367–376CrossRef

Rodenburg G, Oenema A, Kremers SPJ, van de Mheen D (2013) Clustering of diet- and activity-related parenting practices: cross-sectional findings of the INPACT study. Int J Behav Nutr Phys Act 10:36

Sabbe D, De Bourdeaudhuij I, Legiest E, Maes L (2008) A cluster-analytical approach towards physical activity and eating habits among 10-year-old children. Health Educ Res 23:753–762. https://doi.org/10.1093/her/cyl135 CrossRefPubMed

Santaliestra-Pasias AM, Mouratidou T, Reisch L et al (2015) Clustering of lifestyle behaviours and relation to body composition in European children. The IDEFICS study. Eur J Clin Nutr 69:811–816. https://doi.org/10.1038/ejcn.2015.76 CrossRefPubMed

Seabra AF, Mendonca DM, Thomis MA, Anjos LA, Maia JA (2008) Biological and socio-cultural determinants of physical activity in adolescents. Cad Saude Publica 24(4):721–736CrossRefPubMed

Sirard JR, Bruening M, Wall MM, Eisenberg ME, Kim SK, Neumark-Sztainer D (2013) Physical activity and screen time in adolescents and their friends. Am J Prev Med 44:48–55. https://doi.org/10.1016/j.amepre.2012.09.054 CrossRefPubMedPubMedCentral

Steinberger J, Daniels SR, Hagberg N et al (2016) Cardiovascular health promotion in children: challenges and opportunities for 2020 and beyond: a scientific statement from the American Heart Association. Circulation 134:e236–255. https://doi.org/10.1161/cir.0000000000000441 CrossRefPubMedPubMedCentral

Thivel D, Isacco L, Aucouturier J et al (2015) Bedtime and sleep timing but not sleep duration are associated with eating habits in primary school children. J Dev Behav Pediatr. https://doi.org/10.1097/dbp.0000000000000131 CrossRefPubMed

Vereecken CA, Maes L (2003) A Belgian study on the reliability and relative validity of the health behaviour in school-aged children food-frequency questionnaire. Public Health Nutr 6:581–588CrossRefPubMed

Victora CG, Huttly SR, Fuchs SC, Olinto MT (1997) The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol 26:224–227CrossRefPubMed

Viner RM, Ozer EM, Denny S, Marmot M, Resnick M, Fatusi A, Currie C (2012) Adolescence and the social determinants of health. Lancet 379:1641–1652. https://doi.org/10.1016/s0140-6736(12)60149-4 CrossRefPubMed

Ward J (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236. https://doi.org/10.2307/2282967 CrossRef

WHO (2015) 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. World Health Organization, Geneva

Title: How do energy balance-related behaviors cluster in adolescents?
Authors: Tatiana Sadalla Collese
Augusto César Ferreira De Moraes
Juan Miguel Fernández-Alvira
Nathalie Michels
Stefaan De Henauw
Yannis Manios
Odysseas Androutsos
Anthony Kafatos
Kurt Widhalm
Myriam Galfo
Laurent Beghin
Michael Sjöström
Raquel Pedrero-Chamizo
Heráclito Barbosa Carvalho
Luis A. Moreno
the HELENA Study Group
Publication date: 01-03-2019
Publisher: Springer International Publishing
Published in: International Journal of Public Health / Issue 2/2019
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-018-1178-3

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

How do energy balance-related behaviors cluster in adolescents?

Abstract

Objectives

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 2/2019

Gender differences in suicidal behavior in adolescents and young adults: systematic review and meta-analysis of longitudinal studies

The decline in adolescent substance use across Europe and North America in the early twenty-first century: A result of the digital revolution?

What have we learned on adolescent transitions?

Parental overprotection and youth suicide behavior in low- and middle-income countries: a multilevel analysis of cross-national data

Development is not the same as ageing: the relevance of puberty to health of adolescents

Food insecurity, sexual risk taking, and sexual victimization in Ghanaian adolescents and young South African adults