Top

International Journal of Public Health

Published in:

Open Access 01-01-2018 | Original Article

Derivation of some contemporary scales to measure adolescent risk-taking in Canada

Authors: Jonathan L. Kwong, Don A. Klinger, Ian Janssen, William Pickett

Published in: International Journal of Public Health | Issue 1/2018

Abstract

Objectives

To derive a contemporary series of composite indicators of adolescent risk-taking, inspired by the US CDC Framework and Problem Behaviour Theory.

Methods

Factor analyses were performed on 28-risk behaviours in a nationally representative sample of 30,096 Grades 6–10 students from the 2014 Canadian Health Behaviour in School-aged Children study.

Results

Three composite indicators emerged from our analysis: (1) Overt Risk-Taking (i.e., substance use, caffeinated energy drink consumption, fighting, and risky sexual behaviour), (2) Aversion to a Healthy Lifestyle (i.e., physical inactivity and low fruit and vegetable consumption), and (3) Screen Time Syndrome (i.e., abnormally high screen time use combined with unhealthy snacking). These three composite indicators of risk-taking were observed consistently with strong psychometric properties across different grade groups (6–8, 9–10).

Conclusions

The three composite indicators of adolescent risk-taking each draw from multiple domains within the CDC framework, and support a novel, empirically directed approach of conceptualizing multiple risk behaviours among adolescents. The measures also highlight the breadth and diversity of risk behaviour engagement among Canadian adolescents. Research and preventive interventions should simultaneously consider the related behaviours within each of these composite indicators.

Basen-Engquist K, Edmundson EW, Parcel GS (1996) Structure of health risk behavior among high school students. J Consult Clin Psychol 64:764–775CrossRefPubMed

Brener ND, Kann L, Kinchen SA et al (2004) Methodology of the youth risk behavior surveillance system. Morb Mortal Wkly Rep 53:1–13

Brindova D, Veselska ZD, Klein D et al (2015) Is the association between screen-based behaviour and health complaints among adolescents moderated by physical activity? Int J Public Health 60:139–145. doi:10.1007/s00038-014-0627-x CrossRefPubMed

Currie C, Zanotti C, Morgan A, et al (2012) Social determinants of health and well-being among young people. Health Behaviour in School-aged Children (HBSC) study: international report from the 2009/2010 survey. World Health Organization. http://www.euro.who.int/en/publications/abstracts/social-determinants-of-health-and-well-being-among-young-people.-health-behaviour-in-school-aged-children-hbsc-study. Accessed 9 Feb 2017

De La Haye K, D’Amico EJ, Miles JNV et al (2014) Covariance among multiple health risk behaviors in adolescents. PLoS ONE. doi:10.1371/journal.pone.0098141

de Looze M, van den Eijnden R, Verdurmen J et al (2012) Parenting practices and adolescent risk behavior: rules on smoking and drinking also predict cannabis use and early sexual debut. Prev Sci 13:594–604. doi:10.1007/s11121-012-0286-1 CrossRefPubMedPubMedCentral

Fabrigar LR, Fabrigar LR, Wegener DT et al (1999) Evaluating the use of exploratory factor analysis in psychological research. Psychol Methods 4:272–299. doi:10.1037/1082-989X.4.3.272 CrossRef

Freeman J, King M, Pickett W (2016) Health behaviour in school-aged children (HBSC) in Canada: focus on relationships. Public Health Agency of Canada. http://healthycanadians.gc.ca/publications/science-research-sciences-recherches/health-behaviour-children-canada-2015-comportements-sante-jeunes/index-eng.php. Accessed 18 Feb 2017

Goniewicz ML, Leigh NJ, Gawron M et al (2016) Dual use of electronic and tobacco cigarettes among adolescents: a cross-sectional study in Poland. Int J Public Health 61:189–197. doi:10.1007/s00038-015-0756-x CrossRefPubMed

Hale DR, Fitzgerald-Yau N, Viner RM (2014) A systematic review of effective interventions for reducing multiple health risk behaviors in adolescence. Am J Public Health 104:e19–e41. doi:10.2105/AJPH.2014.301874 CrossRefPubMedPubMedCentral

Hooper D, Coughlan J, Mullen M (2008) Structural equation modeling: guidelines for determining model fit. Electron J Bus Res Methods 6:53–60

Jackson C, Geddes R, Haw S, Frank J (2012) Interventions to prevent substance use and risky sexual behaviour in young people: a systematic review. Addiction 107:733–747. doi:10.1111/j.1360-0443.2011.03751.x CrossRefPubMed

Jessor R (1991) Risk behavior in adolescence: a psychosocial framework for understanding and action. J Adolesc Heal 12:597–605. doi:10.1016/1054-139X(91)90007-K CrossRef

Jessor R (2014) Problem Behavior Theory: a half-century of research on adolescent behavior and development. In: Lerner RM, Petersen AC, Silbereisen RK, Brooks-Gunn J (eds) The developmental science of adolescence: history through autobiography, 1st edn. Psychology Press, New York, pp 239–256

Kabacoff RI (2003) Determining the dimensionality of data: a SAS macro for parallel analysis coders’ corner. In: Proceedings of the twenty-eighth annual SAS users group international conference. pp 1–3

Kann L, McManus T, Harris WA et al (2016) Youth risk behavior surveillance—United States, 2015. Morb Mortal Wkly Rep 65:1–51

Kline P (1994) An easy guide to factor analysis. Routledge, New York

Kline RB (2013) Exploratory and CONfiRMATORY FACTOR ANALYSIS. In: Petscher Y, Schatschneider C, Compton DL (eds) Applied quantitative analysis in education and the social sciences, 1st edn. Routledge, New York, pp 169–207

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 11:1–9. doi:10.1186/1479-5868-11-4 CrossRef

Lindberg LD, Boggess S, Williams S (1995) Multiple threats: the co-occurrence of teen health risk behaviors. Washington, DC

Lytle L (2002) Nutritional issues for adolescence. J Am Diet Assoc 102:S8–S12CrossRefPubMed

Maggs JL, Frome PM, Eccles JS, Barber BL (1997) Psychosocial resources, adolescent risk behaviour and young adult adjustment: is risk taking more dangerous for some than others? J Adolesc 20:103–119. doi:10.1006/jado.1996.0067 CrossRefPubMed

Pearson N, Braithwaite RE, Biddle SJH et al (2014) Associations between sedentary behaviour and physical activity in children and adolescents: a meta-analysis. Obes Rev 15:666–675. doi:10.1111/obr.12188 CrossRefPubMedPubMedCentral

Pérez Fuentes MDC, del Molero Jurado MM, Carrión Martínez JJ et al (2016) Sensation-seeking and impulsivity as predictors of reactive and proactive aggression in adolescents. Front Psychol 7:1–8. doi:10.3389/fpsyg.2016.01447 CrossRef

Pfortner TK, De Clercq B, Lenzi M et al (2015) Does the association between different dimension of social capital and adolescent smoking vary by socioeconomic status? a pooled cross-national analysis. Int J Public Health 60:901–910. doi:10.1007/s00038-015-0734-3 CrossRefPubMed

Pickett W, Schmid H, Boyce WF et al (2002) Multiple risk behavior and injury: an international analysis of young people. Arch Pediatr Adolesc Med 156:786–793. doi:10.1001/archpedi.156.8.786 CrossRefPubMed

Riesch SK, Kedrowski K, Brown RL et al (2013) Health-risk behaviors among a sample of US pre-adolescents: types, frequency, and predictive factors. Int J Nurs Stud 50:1067–1079. doi:10.1016/j.ijnurstu.2012.10.012 CrossRefPubMed

Schane RE, Ling PM, Glantz SA (2010) Health effects of light and intermittent smoking: a review. Circulation 121:1518–1522. doi:10.1161/CIRCULATIONAHA.109.904235 CrossRefPubMedPubMedCentral

Schmitt N (1996) Uses and abuses of coefficient alpha. Psychol Assess 8:350–353. doi:10.1037/1040-3590.8.4.350 CrossRef

Seifert SM, Schaechter JL, Hershorin ER, Lipshultz SE (2011) Health effects of energy drinks on children, adolescents, and young adults. Pediatrics 127:511–528. doi:10.1542/peds.2009-3592 CrossRefPubMedPubMedCentral

Sloboda Z, Stephens RC, Stephens PC et al (2009) The adolescent substance abuse prevention study: a randomized field trial of a universal substance abuse prevention program. Drug Alcohol Depend 102:1–10. doi:10.1016/j.drugalcdep.2009.01.015 CrossRefPubMed

Spring B, Moller AC, Coons MJ (2012) Multiple health behaviours: overview and implications. J Public Health (Bangkok) 34(Suppl 1):i3–i10. doi:10.1093/pubmed/fdr111 CrossRef

Thompson K, Stockwell T, Leadbeater B, Homel J (2014) Association among different measures of alcohol use across adolescence and emerging adulthood. Addiction 109:894–903. doi:10.1111/add.12499 CrossRefPubMedPubMedCentral

Turner C, McClure R, Pirozzo S (2004) Injury and risk-taking behavior: a systematic review. Accid Anal Prev 36:93–101. doi:10.1016/S0001-4575(02)00131-8 CrossRefPubMed

Van Pelt DN, Clemens J, Brown B, Palacios M (2015) Where Our Students Are Educated: Measuring student enrolment in Canada. Fraser Institute. https://www.fraserinstitute.org/studies/where-our-students-are-educated-measuring-student-enrolment-in-canada. Accessed 08 Mar 2017

Yarber WL, Parrillo AV (1992) Adolescents and sexually transmitted diseases. J Sch Health 62:331–338CrossRefPubMed

Zhang Z, Yuan K (2015) Robust coefficient alpha and omega with missing and non-normal data. R package version 0.5-23.1997

Title: Derivation of some contemporary scales to measure adolescent risk-taking in Canada
Authors: Jonathan L. Kwong
Don A. Klinger
Ian Janssen
William Pickett
Publication date: 01-01-2018
Publisher: Springer International Publishing
Published in: International Journal of Public Health / Issue 1/2018
Print ISSN: 1661-8556
Electronic ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-017-1046-6

ACC 2024 Congress

Springer Medicine

Derivation of some contemporary scales to measure adolescent risk-taking in Canada

Abstract

Objectives

Methods

Results

Conclusions

ACC 2024 Congress

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 1/2018

Eco-Health linkages: assessing the role of ecosystem goods and services on human health using causal criteria analysis

Response to comments by Hoyer and Brinks (2017) on: ‘Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013’

Methods for understanding childhood trauma: modifying the adverse childhood experiences international questionnaire for cultural competency

What makes the difference in people’s lives when they have a mental disorder?

Sexual violence as a risk factor for family planning-related outcomes among young Burundian women

Trends in the perceived body size of adolescent males and females in Scotland, 1990–2014: changing associations with mental well-being