Eating behaviours and associated lifestyle factors in a sample of Slovak adolescents

. 2024 Dec ; 32 (Supplement) : 96-103.

Jazyk angličtina Země Česko Médium print

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid39832154

OBJECTIVES: An unhealthy lifestyle, inappropriate eating habits, and inadequate physical activity are the most common risk factors affecting health and causing the premature onset of non-communicable diseases. The study aimed to evaluate lifestyle factors, eating habits, and daily regimens in a sample of Slovak adolescents. METHODS: The sample involves 524 students aged 15-22 years attending selected secondary schools from the model region of Bratislava, the capital of Slovakia. We assessed the prevalence of selected lifestyle factors and investigated the relationship between negative lifestyle factors and the presence of overweight and obesity. RESULTS: We found eating irregularities including avoidance of school lunch, inadequate daily consumption of vegetables, dairy products and wholegrain foods, and the high consumption of sweets and sweetened beverages. The prevalence of excess weight and obesity in the sample was 18.4%. Compared to the non-obese, overweight or obese students had significantly lower daily consumption of vegetables and used to avoid sports more frequently. Almost 37% of students did not do sports at all. Students who were not doing sports on regular basis used to skip breakfast more frequently, they ate fewer vegetables and more sweets and spent considerable time in sedentary activities. CONCLUSION: In the sample of secondary school students, we investigated several negative lifestyle factors and the relatively high prevalence of overweight and obesity. The results of the study can be used for the development of preventive measures to protect and promote the health of children and youth.

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Jaworska N, MacQueen G. Adolescence as a unique developmental period. J Psychiatry Neurosci. 2015;40(5):291-3. PubMed DOI

Sawyer SM, Afifi RA, Bearinger LH, Blakemore SJ, Dick B, Ezeh AC, et al. Adolescence: a foundation for future health. Lancet. 2012;379(9826):1630-40. PubMed DOI

Igra V, Irwin CJ. Theories of adolescent risk-taking behavior. In: Diclemente R, Hanson WB, Ponton LE, editors. Handbook of adolescent health risk behavior. New York: Plenum Press; 1996. p. 35-51. DOI

Currie C, Roberts C, Morgan A, Smith R, Settertobulte W, Samdal O, et al., editors. Young people's health in context: Health Behavior in School-aged Children (HBSC) Study: international report from 2001/2002 survey. 2004. Copenhagen: WHO Regional Office for Europe; 2004.

Brown R, Ogden J. Children's eating attitudes and behaviour: a study of the modelling and control theories of parental influence. Health Educ Res. 2004;19(3):261-71. PubMed DOI

Borraccino A, Lemma P, Berchialla P, Cappello N, Inchley J, Dalmasso P, et al.; Italian HBSC 2010 Group. Unhealthy food consumption in adolescence: role of sedentary behaviours and modifiers in 11-, 13- and 15-year-old Italians. Eur J Public Health. 2016;26(4):650-6. PubMed DOI

Babjakova J, Vondrova D, Jurkovicova J, Samohyl M, Filova A, Janko Z, et al. Risk behavioral survey in the sample of Slovak adolescents. Bratisl Med J. 2019;120(12):899-907. PubMed DOI

World Health Organization. Physical Activity Strategy for the WHO European Region 2016-2025. Copenhagen: WHO Regional Office for Europe; 2015.

Argalasova L, Vondrova D, Babjakova J, Hirosova K, Filova A, Samohyl M, et al. Behavioural, psychosocial and life-style risk factors in a sample of Slovak adolescents. J Infec Dis Treat. 2019;5(2):36.

Samohyl M, Babjakova J, Vondrova D, Jurkovicova J, Stofko J, Kollar B, et al. Factors associated with non-attendance at dental preventive care in Slovak high school students. Int J Environ Res Public Health. 2021;18(3):1295. doi: 10.3390/ijerph18031295. PubMed DOI

Xu F, Mawokomatanda T, Flegel D, Pierannunzi C, Garvin W, Chowdhury P, et al. Surveillance for certain health behaviors among states and selected local areas-Behavioral Risk Factor Surveillance System, United States, 2011. MMWR Surveill Summ. 2014;63(9):1-149.

Kann L, Kinchen S, Shanklin SL, Flint KH, Kawkins J, Harris WA, et al. Youth risk behavior surveillance-United States, 2013. MMWR Suppl. 2014;63(4):1-168.

World Health Organization. BMI Charts [Internet]. Geneva: WHO [cited 2020 Nov 01]. Available from: https://www.who.int/toolkits/growth-reference-data-for-5to19-years/indicators/bmi-for-age.

Widenhorn-Müller K, Hille K, Klenk J, Weiland U. Influence of having breakfast on cognitive performance and mood in 13- to 20-year-old high school students: results of a crossover trial. Pediatrics 2008;122(2);279-84. PubMed DOI

Beresova J, Ostrihonova, T. [Eating in facilities for children and youth - theory and practical experience]. In: Jurkovicova J, Stefanikova Z, editors. [Living conditions and health]. Bratislava: Public Health Authority of the SR; 2013. p. 167-173. Slovak.

Yang Q, Zhang Z, Gregg EW, Flanders WD, Merritt R, Hu FB. Added sugar intake and cardiovascular diseases mortality among US adults. JAMA Intern Med. 2014;174(4):516-24. PubMed DOI

Malik VS, Li Y, Pan A, De Koning L, Schernhammer E, Willett WC, et al. Long-term consumption of sugar-sweetened and artificially sweetened beverages and risk of mortality in US adults. Circulation. 2019;139(18):2113-25. PubMed DOI

Schneider S, Schilling L, Osenbrugge N. Determinants of soft drink consumption among children and adolescents in developed countries - a systematic review. Cent Eur J Public Health. 2021;29(4):290-300. PubMed DOI

Kopcakova J. [Social determinants of schoolchildren's health]. In: Madarasova-Geckova A, editor. [Leisure activities]. Košice: Public Health Authority of the SR; 2019. p. 91-111. Slovak.

Perrin A. Social media usage: 2005-2015: 65% of adults now use social networking sites a nearly tenfold jump in the past decade [Internet]. Washington DC: Pew Research Trust; 2015 [cited 2020 Nov 01]. Available from: https://www.pewresearch.org/internet/2015/10/08/social-networking-usage-2005-2015/.

Argalasova L, Vondrova D, Babjakova J, Filova A, Hirosova K, Samohyl M, et al. [The use of selected IT devices in relation to lifestyle in adolescents in the Y. A. B. S. project]. In: Hudeckova H, Jakusova V, Svihrova V, Baska T, editors. [Current problems of public health in research and practice IV]. Martin: Jessenius Faculty of Medicine, Comenius University in Martin; 2019. p. 9-16. Slovak.

Twenge JM, Martin GN, Spitzberg BH. Trends in U.S. adolescents' media use, 1976-2016: the rise of digital media, the decline of TV, and the (near) demise of print. Psychol Pop Media Cult. 2019;8(4):329-45. DOI

Moreno-Gómez C, Romaguera-Bosch D, Tauler-Riera P, Bennasar-Veny M, Pericas-Beltran J, Martinez-Andreu S, et al. Clustering of lifestyle factors in Spanish university students: the relationship between smoking, alcohol consumption, physical activity and diet quality. Public Health Nutr. 2012;15(11):2131-9. PubMed DOI

Haerens L, Vereecken C, Maes L, De Bourdeaudhuij I. Relationship of physical activity and dietary habits with body mass index in the transition from childhood to adolescence: a 4-year longitudinal study. Public Health Nutr. 2010;13(10):1722-8. PubMed DOI

Lampuré A, Castetbon K, Deglaire A, Schlich P, Péneau S, Hercberg S, et al. Associations between liking for fat, sweet or salt and obesity risk in French adults: a prospective cohort study. Int J Behav Nutr Phys Act. 2016;13:74. doi: 10.1186/s12966-016-0406-6. PubMed DOI

Eisenmann JC, Bartee RT, Wang MQ. Physical activity, TV viewing, and weight in U.S. youth: 1999 Youth Risk Behavior Survey. Obes Res. 2002;10(5):379-85. PubMed DOI

Jakubec L, Frömel K, Chmelík F, Groffik D. Physical activity in 15-17-year-old adolescents as compensation for sedentary behavior in school. Int J Environ Res Public Health. 2020;17(9):3281. doi: 10.3390/ijerph17093281. PubMed DOI

Erfle SE, Gamble A. Effects of daily physical education on physical fitness and weight status in middle school adolescents. J Sch Health. 2015;85(1):27-35. PubMed DOI

Elgar FJ, Roberts Ch, Tudor-Smith Ch, Moore L. Validity of self-reported height and weight and predictors of bias in adolescents. J Adolesc Health. 2005;37(5):371-5. PubMed DOI

Fonseca H, Silva A, Matos M, Esteves I, Costa P, Guerra A, et al. Validity of BMI based on self-reported weight and height in adolescents. Acta Paediatr. 2010;99(1):83-8. PubMed DOI

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