The Association between Various Lifestyle Patterns and the Body Mass Index in Adolescents

Open access


Objective: The study aims to analyze obesogenic behavioral patterns of adolescents living in Mureş County, Romania, as well as to establish a relationship between these behaviors and their Body Mass Index (BMI), in an attempt to provide effective prevention strategies for obesity.

Material and Methods: 153 students between 9th to 12th grade, aged between 14 and 19 years old, from the Vocational and Art Highschool of Târgu Mureş were included in the study. All the candidates filled out an evaluation questionnaire of lifestyle and risky behaviors. The analyzed data were sex, age, residence, BMI and risky eating behavior defined as the consumption of carbohydrates (bread, potatoes, sweets), sodas, junk food, alcohol (wine, distilled beverages, beer), beer separately, level of physical activity (school and extra-school sports activities), sedentary behaviors (≥2 hours/day in front of a screen: personal computer-PC and television-TV), and spending ≥2 hours/day separately on the PC and on the TV.

Results: A statistically significant association was observed between BMI and consumption of fast-food, tobacco, beer, sedentary behavior and spending ≥2 hours/day in front of the PC. Moreover, there was a statistically significant difference between the BMI values of adolescents presenting all studied risk behaviors compared to those who did not.

Conclusions: Obesity among adolescents from Mureş County is influenced by lifestyle choices like fast-food, tobacco, beer, sedentary behavior and spending ≥2 hours/day in front of the PC.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • 1. Obesity and overweight. June 12th 2019.

  • 2. Wang Y Lobstein TIM. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes. 2006;1:11-25.

  • 3. Janssen I Katzmarzyk PT Boyce WF et al. Comparison of overweight and obesity prevalence in school-aged youth from 34 countries and their relationships with physical activity and dietary patterns. Obes Rev. 2005;6:123-132.

  • 4. Ulijaszek SJ Koziel S. Nutrition transition and dietary energy availability in Eastern Europe after the collapse of communism. Econ Hum Biol. 2007;5:359-369.

  • 5. World Health Statistics 2016: Monitoring health for the SDGs. June 12th 2019.

  • 6. Mirmiran P Yuzbashian E Asghari G et al. Consumption of sugar-sweetened beverage is associated with the incidence of metabolic syndrome in Tehranian children and adolescents. Nutr Metab (Lond). 2015;2:25.

  • 7. Ejtahed HS Bahadoran Z Mirmiran P et al. Sugar-sweetened beverage consumption is associated with metabolic syndrome in Iranian adults: Tehran lipid and glucose study. Endocrinol Metab (Seoul) 2015;30:334-342.

  • 8. WHO - Guideline: sugars intake for adults and children Geneva 2015 available at June 12th 2019.

  • 9. Health impact of tobacco control policies in line with the WHO Framework Convention on Tobacco Control (WHO FCTC). June 23th 2019.

  • 10. Tobacco Data and statistics. June 29th 2019.

  • 11. Romania physical activity factsheet 2018. June 29th 2019.

  • 12. Strasburger VC Hogan MJ Mulligan DA et al. Children adolescents and the media. Pediatrics. 2013;132:958-961.

  • 13. Santaliestra-Pasías AM Rey-López JP Aznar LAM - Obesity and sedentarism in children and adolescents: what should be bone?. Nutr Hosp. 2013;28:99-104.

  • 14. Guo SS Wu W Chumlea WC et al. Predicting overweight and obesity in adulthood from body mass index values in childhood and adolescence. The American journal of clinical nutrition. 2002;76:653-658.

  • 15. Engeland A Bjørge T Tverdal A et al. Obesity in adolescence and adulthood and the risk of adult mortality. Epidemiology. 2004;15:79-85.

  • 16. Reilly JJ Kelly J. The long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: a systematic review. International journal of obesity. 2011;35:891-898.

  • 17. Spruijt-Metz D. Etiology treatment and prevention of obesity in childhood and adolescence: A decade in review. J Res Adolesc. 2011;21:129-152.

  • 18. Kelishadi R Ardalan G Gheiratmand R et al. Association of physical activity and dietary behaviors with the body mass index in a national sample of Iranian children and adolescents: CASPIAN Study. Bull World Health Organ. 2007;85:19–26.

  • 19. Salcudean M Rus V Ruta F et al. Eating Behaviour and Food Preferences of Tîrgu Mures High School Students. Acta Medica Marisiensis. 2018;64:157-160.

  • 20. Mattingly TN Thapa PB Messias E. Trends in Lifetime use of Tobacco Alcohol and Cannabis among Arkansas Teens from 1995 to 2013. J Ark Med Soc. 2016;113:90-93.

  • 21. Vlaicu B Petrescu C Fira-Mlădinescu C Fira-Mlădinescu O Ursoniu S Putnoky S Vernic C Suciu O Vlaicu Ş Silberberg K Korbuly B Ciobanu V Caraion C Radu I Mancaş S Moldovan R Petrescu P Bagiu R Romoşan F Dehelean P Dehelean L. Comportamente cu risc la studenții din județul Timiş. Timişoara. Ed. EUROBIT 2009 200-207.

  • 22. Akbartabartoori M Lean MEJ Hankey CR. Relationships between cigarette smoking body size and body shape. Int J Obes (Lond). 2005;29:236.

  • 23. Chiolero A Faeh D Paccaud F et al. Consequences of smoking for body weight body fat distribution and insulin resistance. Am J Clin Nutr. 2008;87:801-809.

  • 24. ESPAD Report 2015 Results from the European School Survey Project on Alcohol and Other Drugs. June 29th 2019.

  • 25. Nie NH Hillygus DS Erbring L. Internet use interpersonal relations and sociability: A time diary study in Wellman B Haythornthwaite C (eds): The Internet in Everyday Life. Blackwell Publishers Ltd Oxford 2002 213–243.

  • 26. Peltzer K Pengpid S Apidechkul T. Heavy internet use and its associations with health risk and health-promoting behaviors among Thai university students. Int. J. Adolesc. Med. Health. 2014;26:187–194.

  • 27. Gür K Yurt S Bulduk S et al. Internet addiction and physical and psychosocial behavior problems among rural secondary school students. Nurs. Health Sci. 2015;17:331–338.

  • 28. Punamaki RL Wallenius M Nygard CH et al. Use of information and communication technology (ICT) and perceived health in adolescence: The role of sleeping habits and waking-time tiredness. J. Adolesc. 2007;30:569–585.

  • 29. Akhter N. Relationship between internet addiction and academic performance among university undergraduates. Edu. Res. Rev. 2013;8:1793.

  • 30. Straker L Pollock C Maslen B. Principles for the wise use of computers by children. Ergonomics. 2009;52:1386–1401.

  • 31. Pontes HM Kiraly O Demetrovics Z et al. The conceptualization and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PloS one. 2014;9:e110137.

  • 32. Durkee T Carli V Floderus B et al. Pathological internet use and risk-behaviors among European adolescents. Int J Environ Res Public Health. 2016;13:294.

  • 33. Silva KS Barbosa Filho VC Del Duca GF et al. Gender differences in the clustering patterns of risk behaviors associated with non-communicable diseases in Brazilian adolescents. Prev Med. 2014;65:77-81.

Journal information
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 43 43 0
PDF Downloads 54 54 0