Cancer Causes & Control

, Volume 26, Issue 4, pp 519–528 | Cite as

An examination of the co-occurrence of modifiable risk factors associated with chronic disease among youth in the COMPASS study

Original paper

Abstract

Purpose

To examine the prevalence of major modifiable risk factors for cancer, examine risk factor co-occurrence, and examine how demographic and social factors are associated with risk factor co-occurrence among youth in the COMPASS study.

Methods

Data from 23,280 grade 9–12 students in Year 1 (2012–2013) of the COMPASS study were used to examine the prevalence of seven different modifiable risk factors and the co-occurrence of these risk factors by gender and by grade. The between-school variance in the number of risk factors was calculated, and a model was developed to examine how demographic and social factors were associated with the number of co-occurring risk factors.

Results

Among youth in this sample, 5.5 % were current smokers, 22.9 % were current binge drinkers, 16.5 % were current marijuana users, 20.0 % were overweight/obese, 53.1 % were physically inactive, 96.7 % were highly sedentary, and 95.1 % had inadequate fruit and vegetable consumption. The mean number of co-occurring risk factors among students was 3.2 (±1.1) and only 0.2 % (n = 42) reported having none of the risk factors and 0.4 % (n = 67) reported having all seven risk factors. Significant between-school random variation in the number of co-occurring risk factors was not identified. The number of risk factors was associated with most of the correlates examined although the effect sizes were generally small.

Conclusion

This research identifies that risk factor co-occurrence is common, most of student characteristics examined are only modestly associated with the likelihood of co-occurrence and that the school environment is not associated with variability in the number of co-occurring risk factors.

Keywords

Obesity Physical activity Tobacco Alcohol Marijuana Diet Bullying Youth 

References

  1. 1.
    American Dietetic Association (2006) Position of the American Dietetic Association: individual-, family-, school-, and community-based interventions for pediatric overweight. J Am Diet Assoc 106:925–945CrossRefGoogle Scholar
  2. 2.
    Leatherdale ST, Burkhalter R (2012) The substance use profile of Canadian youth: exploring the prevalence of alcohol, drug and tobacco use by gender and grade. Addict Behav 37:318–322CrossRefPubMedGoogle Scholar
  3. 3.
    Leatherdale ST, Ahmed R (2011) Screen-based sedentary behaviours among a nationally representative sample of youth: are Canadian kids couch potatoes? Chronic Dis Inj Can 31:141–146PubMedGoogle Scholar
  4. 4.
    Tremblay M, Shields M, Laviolette M, Craig CL, Janssen I, Connor Gorber S (2010) Fitness of Canadian children and youth: results from the 2007–2009 Canadian Health Measures Survey. Health Rep 21:1–7Google Scholar
  5. 5.
    Leatherdale ST, Rynard V (2013) A cross-sectional examination of modifiable risk factors for chronic disease among a nationally representative sample of youth: are Canadian students graduating high school with a failing grade for health? BMC Public Health 13:569. doi:10.1186/10.1186/1471-2458-13-569 CrossRefPubMedCentralPubMedGoogle Scholar
  6. 6.
    Adami HO, Day NE, Trichopoulos NE, Willett WC (2001) Primary and secondary prevention in the reduction of cancer morbidity and mortality. Eur J Cancer 37:S118–S127CrossRefPubMedGoogle Scholar
  7. 7.
    Colditz GA, DeJong W, Hunter D, Trichopoulos D, Willett W (1996) Harvard report on cancer prevention. Volume 1: causes of human cancer. Cancer Causes Control 7:S3–S58CrossRefGoogle Scholar
  8. 8.
    Ezzati M, Vander Hoorn S, Lopez AD, Danaei G, Rodgers A, Mathers CD, Murray CJL (2006) Chapter 4: Comparative quantification of mortality and burden of disease attributable to selected risk factors. In: Mathers CD, Ezzati M, Jamison DJ, Murray CJL, Lopez AD (eds) Global burden of disease and risk factors. Oxford University Press and The World Bank, Washington DC, USAGoogle Scholar
  9. 9.
    Sanchez A, Norman GJ, Sallis JF, Calfas KJ, Cella J, Patrick K (2007) Patterns and correlates of physical activity and nutrition behaviors in adolescents. Am J Prev Med 32:124–130CrossRefPubMedCentralPubMedGoogle Scholar
  10. 10.
    Plotnikoff RC, Karunamuni N, Spence JC, Storey K, Forbes L, Raine K, Wild TC, McCarger L (2009) Chronic disease-related lifestyle risk factors in a sample of Canadian adolescents. J Adolesc Health 44:606–609CrossRefPubMedGoogle Scholar
  11. 11.
    Pronk NP, Anderson LH, Crain AL, Martinson BC, O’Connor PJ, Sherwood NE, Whitebird RR (2004) Meeting recommendations for multiple healthy lifestyle factors: prevalence, clustering, and predictors among adolescent, adult, and senior health plan members. Am J Prev Med 27:25–33CrossRefPubMedGoogle Scholar
  12. 12.
    Alamian A, Paradis G (2012) Individual and social determinants of multiple chronic disease behavioral risk factors among youth. Am J Prev Med 12:224. doi:10.1186/1471-2458-12-224 Google Scholar
  13. 13.
    Alamian A, Paradis G (2009) Clustering of chronic disease behavioral risk factors in Canadian children and adolescents. Prev Med 48:493–499CrossRefPubMedGoogle Scholar
  14. 14.
    Alamian A, Paradis G (2009) Correlates of multiple chronic disease behavioral risk factors in Canadian children and adolescents. Am J Epidemiol 170:1279–1289CrossRefPubMedGoogle Scholar
  15. 15.
    Li FX, Robson PJ, Chen Y, Qiu Z, Siou GL, Bryant HE (2009) Prevalence, trend, and sociodemographic association of five modifiable lifestyle risk factors for cancer in Alberta and Canada. Cancer Causes Control 20:395–407CrossRefPubMedGoogle Scholar
  16. 16.
    Litwiller BJ, Brausch AM (2013) Cyber bullying and physical bullying in adolescent suicide: the role of violent behaviour and substance abuse. J Youth Adolesc 42:675–684CrossRefPubMedGoogle Scholar
  17. 17.
    Brixval CS, Rayce SLB, Rasmussen M, Holstein BE, Due P (2011) Overweight, body image and bullying: an epidemiological study of 11- to 15-years old. Eur J Public Health 22:126–130CrossRefPubMedGoogle Scholar
  18. 18.
    Tharp-Taylor S, Haviland A, D’Amico EJ (2009) Victimization from mental and physical bullying and substance use in early adolescence. Addict Behav 34:561–567CrossRefPubMedCentralPubMedGoogle Scholar
  19. 19.
    International Union Health Promotion and Education (2009) Achieving health promoting schools: guidelines for promoting health in schools. International Union Health Promotion and Education, Saint-Denis CedexGoogle Scholar
  20. 20.
    WHO Regional Office for the Western Pacific (1996) Regional guidelines development of health promoting schools: a framework for action. WHO Regional Office for the Western Pacific, ManilaGoogle Scholar
  21. 21.
    Leatherdale ST, Brown KS, Carson V, Childs RA, Dubin JA, Elliott SJ et al (2014) The COMPASS study: a longitudinal hierarchical research platform for evaluating natural experiments related to changes in school-level programs, policies and built environment resources. BMC Public Health 14:331. doi:10.1186/1471-2458-14-331 CrossRefPubMedCentralPubMedGoogle Scholar
  22. 22.
    University of Waterloo (2011) Youth smoking survey (YSS): 2010/2011 YSS microdata user guide. Propel Centre for Population Health Impact, WaterlooGoogle Scholar
  23. 23.
    Leatherdale ST, Laxer RE (2013) Reliability and validity of the weight status and dietary intake measures in the COMPASS questionnaire: are the self-reported measures of body mass index (BMI) and Canada’s Food Guide servings robust? Int J Behav Nutr Phys Act 10:42. doi:10.1186/1479-5868-10-42 CrossRefPubMedCentralPubMedGoogle Scholar
  24. 24.
    Wong SL, Shields M, Leatherdale S, Malaison E, Hammond D (2012) Assessment of validity of self-reported smoking status. Health Rep 23:1–7Google Scholar
  25. 25.
    Leatherdale ST, Laxer RE, Faulkner G (2014) Reliability and validity of the physical activity and sedentary behaviour measures in the COMPASS study. COMPASS Technical Report Series 2(1). http://compass.uwaterloo.ca. Accessed 01 May 2014
  26. 26.
    Canadian physical activity guidelines for youth—12 to 17 years. http://www.csep.ca/CMFiles/Guidelines/CSEP-InfoSheets-youth-ENG.pdf. Accessed 01 May 2014
  27. 27.
    Canadian sedentary behaviour guidelines for youth—12 to 17 years. http://www.csep.ca/CMFiles/Guidelines/CSEP-InfoSheets-ENG-Teen%20FINAL.pdf. Accessed 01 May 2014
  28. 28.
  29. 29.
    Growth reference 5–19 years, 2007. http://www.who.int/growthref/who2007_bmi_for_age/en/index.html. Accessed 01 May 2014
  30. 30.
    Butt P, Beirness D, Gliksman L, Paradis C, Stockwell T (2011) Alcohol and health in Canada: a summary of evidence and guidelines for low-risk drinking. Canadian Centre on Substance Abuse, OttawaGoogle Scholar
  31. 31.
    Cancer research investment in Canada, 2011 (2014) Canadian Cancer Research Alliance: Toronto, Canada. http://www.ccra-acrc.ca/index.php/publications-en/investment-reports-annual/item/cancer-research-investment-in-canada-2011. Accessed 01 May 2014
  32. 32.
    Bandura A (1998) Health promotion from the perspective of social cognitive theory. Psychol Health 13:623–649CrossRefGoogle Scholar
  33. 33.
    Leatherdale ST, McDonald PW, Cameron R, Brown KS (2005) A multi-level analysis examining the relationship between social influences for smoking and smoking onset. Am J Health Behav 29:520–530CrossRefPubMedGoogle Scholar
  34. 34.
    Costello MJE, Leatherdale ST, Ahmed R, Church DL, Cunningham JA (2012) Co-morbid substance use behaviors among youth: any impact of school environment? Glob Health Promot 19:51–58CrossRefGoogle Scholar
  35. 35.
    Leatherdale ST, Papadakis S (2011) A multi-level examination of the association between older social models in the school environment and overweight and obesity among younger students. J Youth Adolesc 40:361–372CrossRefPubMedGoogle Scholar
  36. 36.
    Hobin E, Leatherdale ST, Manske S, Dubin J, Elliott S, Veugelers P (2012) A multilevel examination of gender differences in the association between features of the school environment and time spent in physical activity among a sample of grades 9 to 12 students in Ontario Canada. BMC Public Health 12:74. doi:10.1186/1471-2458-12-74 CrossRefPubMedCentralPubMedGoogle Scholar
  37. 37.
    Bovet P, Viswanathan B, Faeh D, Warren W (2006) Comparison of smoking, drinking, and marijuana use between students present or absent on the day of a school-based survey. J Sch Health 76:133–137CrossRefPubMedGoogle Scholar
  38. 38.
    Arbour-Nicitopoulos KP, Faulker GE, Leatherdale ST (2010) Learning from non-reported data: interpreting missing Body Mass Index values in young children. Meas Phys Educ Exerc Sci 14:241–251CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Public Health and Health SystemsUniversity of WaterlooWaterlooCanada

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