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Multiple behavioural risk factors of non-communicable diseases among adolescents in four Caribbean countries: prevalence and correlates

  • Supa Pengpid and Karl Peltzer ORCID logo EMAIL logo
Published/Copyright: June 18, 2021

Abstract

Objectives

The study assessed the prevalence and associated factors of behavioural risk factors of non-communicable diseases (NCDs) among adolescents in four Caribbean countries.

Content

In all 9,143 adolescents (15 years = median age) participated in the cross-sectional “2016 Dominican Republic, 2016 Suriname, 2017 Jamaica, and 2017 Trinidad and Tobago Global School-Based Student Health Survey (GSHS)”. Eight behavioural risk factors of NCDs were assessed by a self-administered questionnaire.

Summary

Prevalence of each behavioural NCD risk factor was physical inactivity (84.2%), inadequate fruit and vegetable intake (82.2%), leisure-time sedentary behaviour (49.6%), daily ≥2 soft drinks intake (46.8%), ever drunk (28.6%), twice or more days a week fast food consumption (27.6%), having overweight/obesity (27.4%), and current tobacco use (13.8%). Students had on average 3.6 (SD=1.4), and 79.0% had 3–8 behavioural NCD risk factors. In multivariable linear regression, psychological distress and older age increased the odds, and attending school and parental support decreased the odds of multiple behavioural NCD risk factors.

Outlook

A high prevalence and co-occurrence of behavioural risk factors of NCDs was discovered and several factors independently contributing to multiple behavioural NCD risk factors were identified.


Corresponding author: Karl Peltzer, Department of Research Administration and Development, University of Limpopo, Polokwane, South Africa; and Department of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan, E-mail:

Acknowledgments

The data source, the World Health Organization NCD Microdata Repository (URL: https://extranet.who.int/ncdsmicrodata/index.php/catalog), is hereby acknowledged.

  1. Research funding: None declared.

  2. Author contributions: All the authors fulfill the criteria for authorship. S.P. and K.P. conceived and designed the research, performed the statistical analysis, drafted the manuscript, and made critical revision of the manuscript for key intellectual content. All authors have read and agreed to the published version of the manuscript.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was obtained from all individuals included in this study.

  5. Ethical approval: The local Institutional Review Board deemed the study exempt from review. The study was approved by national ethics committees and informed consent was obtained from the participants [14].

References

1. World Health Organization (WHO). Non-communicable diseases; 2018. Available from: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseases.Search in Google Scholar

2. Hospedales, CJ, Samuels, TA, Cummings, R, Gollop, G, Greene, E. Raising the priority of chronic noncommunicable diseases in the Caribbean. Rev Panam Salud Públic 2011;30:393–400.Search in Google Scholar

3. World Health Organization. Noncommunicable diseases (NCD) country profiles, 2018. Dominican Republic. Available from: https://www.who.int/nmh/countries/dom_en.pdf?ua=1 [Accessed 2 Feb 2021].Search in Google Scholar

4. World Health Organization. Noncommunicable diseases (NCD) country profiles, 2018. Jamaica. Available from: https://www.who.int/nmh/countries/jam_en.pdf?ua=1 [Accessed 2 Feb 2021].Search in Google Scholar

5. World Health Organization. Noncommunicable diseases (NCD) country profiles, 2018. Trinidad and Tobago. Available from: https://www.who.int/nmh/countries/tto_en.pdf?ua=1 [Accessed 2 Feb 2021].Search in Google Scholar

6. World Health Organization. Noncommunicable diseases (NCD) country profiles, 2018. Suriname. Available from: https://www.who.int/nmh/countries/sur_en.pdf?ua=1 [Accessed 2 Feb 2021].Search in Google Scholar

7. McPherson, KE, Kerr, S, Morgan, A, McGee, E, Cheater, FM, McLean, J, et al.. The association between family and community social capital and health risk behaviours in young people: an integrative review. BMC Publ Health 2013;13:971. https://doi.org/10.1186/1471-2458-13-971.Search in Google Scholar

8. Selvan, MS, Kurpad, AV. Primary prevention: why focus on children & young adolescents? Indian J Med Res 2004;120:511–8.Search in Google Scholar

9. Caleyachetty, R, Echouffo-Tcheugui, JB, Tait, CA, Schilsky, S, Forrester, T, Kengne, AP. Prevalence of behavioural risk factors for cardiovascular disease in adolescents in low-income and middle-income countries: an individual participant data meta-analysis. Lancet Diabetes Endocrinol 2015;3:535–44. https://doi.org/10.1016/S2213-8587(15)00076-5.Search in Google Scholar

10. Uddin, R, Lee, EY, Khan, SR, Tremblay, MS, Khan, A. Clustering of lifestyle risk factors for non-communicable diseases in 304,779 adolescents from 89 countries: a global perspective. Prev Med 2020;131:105955. https://doi.org/10.1016/j.ypmed.2019.105955.Search in Google Scholar PubMed

11. Francis, DK, Van den Broeck, J, Younger, N, McFarlane, S, Rudder, K, Gordon-Strachan, G, et al.. Fast-food and sweetened beverage consumption: association with overweight and high waist circumference in adolescents. Publ Health Nutr 2009;12:1106–14. https://doi.org/10.1017/S1368980009004960.Search in Google Scholar PubMed

12. Aguilar-Farias, N, Martino-Fuentealba, P, Carcamo-Oyarzun, J, Cortinez-O’Ryan, A, Cristi-Montero, C, Von Oetinger, A, et al.. A regional vision of physical activity, sedentary behaviour and physical education in adolescents from Latin America and the Caribbean: results from 26 countries. Int J Epidemiol 2018;47:976–86. https://doi.org/10.1093/ije/dyy033.Search in Google Scholar PubMed

13. Pengpid, S, Peltzer, K. Behavioral risk factors of non-communicable diseases among a nationally representative sample of school-going adolescents in Indonesia. Int J Gen Med 2019;12:387–94. https://doi.org/10.2147/IJGM.S226633.eCollection2019.Search in Google Scholar

14. World Health Organization (WHO). Global school-based student health survey (GSHS); 2019. Available from: https://www.who.int/ncds/surveillance/gshs/en/ [Accessed 2 Feb 2021].Search in Google Scholar

15. World Health Organization (WHO). Diet, nutrition and the prevention of chronic diseases. Geneva, Switzerland: WHO; 2003.Search in Google Scholar

16. World Health Organization. Physical activity fact sheet; 2017. Available from: http://www.who.int/mediacentre/factsheets/fs385/en/ [Accessed 2 Feb 2021].Search in Google Scholar

17. Guthold, R, Cowan, MJ, Autenrieth, CS, Kann, L, Riley, LM. Physical activity and sedentary behavior among schoolchildren: a 34-country comparison. J Pediatr 2010;157:43–9.e1. https://doi.org/10.1016/j.jpeds.2010.01.019.Search in Google Scholar PubMed

18. Cole, TJ, Bellizzi, MC, Flegal, KM, Dietz, WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000;320:1240–3. https://doi.org/10.1136/bmj.320.7244.1240.Search in Google Scholar PubMed PubMed Central

19. Pengpid, S, Peltzer, K. Prevalence and correlates of behavioral non-communicable diseases risk factors among adolescents in the Seychelles: results of a national school survey in 2015. Int J Environ Res Publ Health 2019;16:E2651. https://doi.org/10.3390/ijerph16152651.Search in Google Scholar PubMed PubMed Central

20. Babwah, T. Exercise, bodyweight perception and related weight loss behavior among adolescents in Trinidad and Tobago. Int J Adolesc Med Health 2016;28:31–7. https://doi.org/10.1515/ijamh-2014-0062.Search in Google Scholar PubMed

21. Khan, A, Uddin, R, Islam, SMS. Clustering patterns of behavioural risk factors for cardiovascular diseases in Bangladeshi adolescents: a population-based study. HPT 2019. https://doi.org/10.1016/j.hlpt.2019.09.003.Search in Google Scholar

22. Cance, JD, Talley, AE, Morgan-Lopez, A, Fromme, K. Longitudinal conjoint patterns of alcohol and tobacco use throughout emerging adulthood. Subst Use Misuse 2017;52:373–82. https://doi.org/10.1080/10826084.2016.1228677.Search in Google Scholar PubMed PubMed Central

23. Hart, CL, Davey Smith, G, Gruer, L, Watt, GC. The combined effect of smoking tobacco and drinking alcohol on cause-specific mortality: a 30 year cohort study. BMC Publ Health 2010;10:789. https://doi.org/10.1186/1471-2458-10-789.Search in Google Scholar PubMed PubMed Central

24. Arbour-Nicitopoulos, KP, Faulkner, GE, Irving, HM. Multiple health-risk behaviour and psychological distress in adolescence. J Can Acad Child Adolesc Psychiatry 2012;21:171–8.Search in Google Scholar

25. Pengpid, S, Peltzer, K. Parental involvement and health risk behaviours among school-going adolescents in six African countries. J Psychol Afr 2018;28:212–7. https://doi.org/10.1080/14330237.2017.1409481.Search in Google Scholar

26. Pengpid, S, Peltzer, K. Parental involvement, health behaviours and mental health among school-going adolescents in six Asian countries. Adv Sci Res: Chiang Mai Univ J Soc Sci Hum 2016;3:115–32. https://doi.org/10.12982/CMUJASR.2016.0007.Search in Google Scholar

27. Pengpid, S, Peltzer, K. Parental involvement and mental health among school-going adolescents in five Caribbean countries. J Psychol Afr 2018;28:394–9. https://doi.org/10.1080/14330237.2018.1501916.Search in Google Scholar

28. Dhungana, RR, Bista, B, Pandey, AR, de Courten, M. Prevalence, clustering and sociodemographic distributions of non-communicable disease risk factors in Nepalese adolescents: secondary analysis of a nationwide school survey. BMJ Open 2019;9:e028263. https://doi.org/10.1136/bmjopen-2018-028263.Search in Google Scholar PubMed PubMed Central

29. da Silva Brito, AL, Hardman, CM, de Barros, MV. Prevalence and factors associated with the co-occurrence of health risk behaviors in adolescents. Rev Paul Pediatr 2015;33:423–30. https://doi.org/10.1016/j.rpped.2015.02.002.Search in Google Scholar PubMed PubMed Central

30. Barbosa Filho, VC, de Campos, W, Bozza, R, Lopes Ada, S. The prevalence and correlates of behavioral risk factors for cardiovascular health among Southern Brazil adolescents: a cross-sectional study. MC Pediatr 2012;12:130. https://doi.org/10.1186/1471-2431-12-130.Search in Google Scholar PubMed PubMed Central

31. Dumith, SC, Muniz, LC, Tassitano, RM, Hallal, PC, Menezes, AM. Clustering of risk factors for chronic diseases among adolescents from Southern Brazil. Prev Med 2012;54:393–6. https://doi.org/10.1016/j.ypmed.2012.03.014.Search in Google Scholar PubMed PubMed Central

32. Tassitano, RM, Barros, MV, Tenório, MC, Bezerra, J, Florindo, AA, Reis, RS. Enrollment in physical education is associated with health-related behavior among high school students. J Sch Health 2010;80:126–33. https://doi.org/10.1111/j.1746-1561.2009.00476.x.Search in Google Scholar PubMed

33. Silva, DAS, Chaput, JP, Tremblay, MS. Participation frequency in physical education classes and physical activity and sitting time in Brazilian adolescents. PLoS One 2019;14:e0213785. https://doi.org/10.1371/journal.pone.0213785.Search in Google Scholar PubMed PubMed Central

34. Nunes, HE, Gonçalves, EC, Vieira, JA, Silva, DA. Clustering of risk factors for non-communicable diseases among adolescents from Southern Brazil. PLoS One 2016;11:e0159037. https://doi.org/10.1371/journal.pone.0159037.Search in Google Scholar PubMed PubMed Central

Received: 2021-02-15
Accepted: 2021-04-29
Published Online: 2021-06-18

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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