Predicting Tobacco and Alcohol Consumption Based on Physical Activity Level and Demographic Characteristics in Romanian Students
Abstract
:1. Introduction
2. Materials and Methods
2.1. Subjects and Design
2.2. Physical ActivityLevel
2.3. Alcohol Consumption
2.4. Tobacco Consumption
2.5. Data Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
- Höllgen, H.; Böckenhoff, A.; Knapp, G. Physical activity and all-cause mortality: An updated meta-analysis with different intensity categories. Int. J. Sports Med. 2009, 30, 213–224. [Google Scholar] [CrossRef]
- Paffenbarger, R.S.; Hyde, R.T.; Wing, A.L. The association of changes in physical-activity level and other lifestyle characteristics with mortality among men. N. Engl. J. Med. 1993, 328, 538–545. [Google Scholar] [CrossRef]
- Contribuția activităților fizice și sportive extrașcolare la un stil de viață activ. 2017. Available online: https://www.schooleducationgateway.eu/ro/pub/viewpoints/experts/contribution-of-out-of-school.htm (accessed on 1 January 2020).
- Badicu, G. Physical Activity and Sleep Quality in Students of the Faculty of Physical Education and Sport of Braşov, Romania. Sustainability 2018, 10, 2410. [Google Scholar] [CrossRef] [Green Version]
- World Health Organization. Global Recommendations on Physical Activity for Health. 2010. Available online: https://apps.who.int/iris/bitstream/handle/10665/44399/9789241599979_eng.pdf (accessed on 1 January 2020).
- Raitakari, O.T.; Leino, M.; Rakkonen, K. Clustering of risk habits in young adults. The cardiovascular risk in young Finns study. Am. J. Epidemiol. 1995, 142, 36–44. [Google Scholar] [CrossRef]
- Zuzda, J.G.; Latosiewicz, R.; Augustyńska, B. Risk assessment and level of physical activity of students in Poland. Phys. Educ. Stud. 2017, 21, 193–199. [Google Scholar] [CrossRef] [Green Version]
- Nosko, M.; Arkhypov, O.; Khudolii, O.; Filatova, Z.; Yevtushok, M. Pedagogical Conditions for Swimming Skills Development in Students of Pedagogical Educational Institutions. Rev. Rom. Educ. Multidimens. 2019, 11, 240–255. [Google Scholar] [CrossRef]
- Iconomescu, T.M.; Alexe, D.I. Differences and similarities in curriculum and assessment in physical education in eastern europeanstates. Ovidius Univ. Ann. Ser. Phys. Educ. Sport Sci. Mov. Health 2015, 15, 41–46. [Google Scholar]
- Seo, D.C.; Torabi, M.R.; Chin, M.K.; Lee, C.G.; Kim, N.; Huang, S.F.; Park, B.-H. Physical activity, body mass index, alcohol consumption and cigarette smoking among East Asian college students. Health Educ. J. 2014, 73, 453–465. [Google Scholar] [CrossRef]
- Kayani, S.; Kiyani, T.; Wang, J.; Zagalaz Sánchez, M.L.; Kayani, S.; Qurban, H. Physical Activity and Academic Performance: The Mediating Effect of Self-Esteem and Depression. Sustainability 2018, 10, 3633. [Google Scholar] [CrossRef] [Green Version]
- Singh, A.; Uijtdewilligen, L.; Twisk, J.W.; van Mechelen, W.; Chinapaw, M.J.M. Physical Activity and Performance at School:A Systematic Review of the Literature Including a Methodological Quality Assessment. Arch. Pediatr. Adolesc. Med. 2012, 166, 49–55. [Google Scholar] [CrossRef]
- Gall, S.; Adams, L.; Joubert, N.; Ludyga, S.; Müller, I. Effect of a 20-week physical activity intervention on selective attention and academic performance in children living in disadvantaged neighborhoods: A cluster randomized control trial. PLoS ONE 2018, 13, e0206908. [Google Scholar] [CrossRef] [PubMed]
- Mokdad, A.H.; Marks, J.S.; Stroup, D.F.; Gerberding, J.L. Actual causes of death in the United States, 2000. JAMA 2004, 291, 1238–1245. [Google Scholar] [CrossRef] [PubMed]
- Van Kim, N.A.; Laska, M.N.; Ehlinger, E.; Katherine, L.; Mary, S. Understanding young adult physical activity, alcohol and tobacco use in community colleges and 4-year post-secondary institutions: A cross-sectional analysis of epidemiological surveillance data. BMC Public Health 2010, 10, 208. [Google Scholar]
- Harrison, E.L.R.; Hinson, R.E.; McKee, S.A. Experimenting and daily smokers: Episodic patterns of alcohol and cigarette use. Addict. Behav. 2009, 34, 484–486. [Google Scholar] [CrossRef] [Green Version]
- State of Health in the EU România: Profilul de țară din 2019 în ceea ce privește sănătatea. 2019. Available online: https://books.google.ro/books?id=5c7ADwAAQBAJ&pg=PA7&lpg=PA7&dq=activitatea+fizica,+tutunul+si+alcoolul+la+romani&source=bl&ots=W3kZ19ZHkE&sig=ACfU3U3b4P2Nx7waEcSnLyhmDLH6JfgWRQ&hl=en&sa=X&ved=2ahUKEwiEoNeV5eTmAhUtxqYKHXBEBDAQ6AEwA3oECAoQBA#v=onepage&q=activitatea%20fizica%2C%20tutunul%20si%20alcoolul%20la%20romani&f=false (accessed on 2 January 2020).
- Jiang, N.; Lee, O.Y.; Ling, P.M. Association between tobacco and alcohol use among young adult bar patrons: A cross-sectional study in three cities. BMC Public Health 2014, 14, 500. [Google Scholar] [CrossRef] [Green Version]
- IPAQ. Cultural Adaptation. 2005. Available online: https://journals.plos.org/plosone/article/file?type=supplementary&id=info:doi/10.1371/journal.pone.0219193.s010 (accessed on 22 September 2019).
- Tran, D.V.; Lee, A.H.; Au, T.B.; Nguyen, C.T.; Hoang, D.V. Reliability and validity of the International Physical Activity Questionnaire-Short Form for older adults in Vietnam. Health Promot. J. Austr. 2013, 24, 126–131. [Google Scholar] [CrossRef]
- Saunders, J.; Aasland, O.; Babor, T.; De la Fuente, J.; Grant, M. Development of the Alcohol Use Disorders Identification Test (AUDIT): Who collaborative Project on early detection of persons with harmful alcohol consumption-II. Addiction 1993, 88, 791–804. [Google Scholar] [CrossRef]
- Chacón-Cuberos, R.; Zurita-Ortega, F.; Olmedo-Moreno, E.M.; Padial-Ruz, R.; Castro-Sánchez, M. An Exploratory Model of Psychosocial Factors and Healthy Habits in University Students of Physical Education Depending on Gender. Int. J. Environ. Res. Public Health 2018, 15, 2430. [Google Scholar] [CrossRef] [Green Version]
- Rubio, G. Validation test for identifying disorders related to alcohol use (AUDIT) in primary care. Spec. Clin. J. 1998, 198, 11–14. [Google Scholar]
- Villareal-González, M.E. A Structural Model of Drug Use and Violent Behavior in School-Aged Adolescents. Ph.D. Thesis, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, México, 2009. [Google Scholar]
- Heatherton, T.; Kozlowski, L.; Frecker, R.; Fagerström, K.O. The Fagerström Test of Nicotine Dependence: A revision of the Fagerström Tolerance Questionnaire. Br. J. Addict. 1991, 86, 1119–1127. [Google Scholar] [CrossRef]
- Rickwood, D.; George, A.; Parker, R.; Mikhailovich, K. Harmful alcohol use on campus: Impact on young people at university. Youth Stud. Aust. 2011, 30, 34–40. [Google Scholar]
- Davoren, M.P.; Demant, J.; Shiely, F.; Perry, I.J. Alcohol consumption among university students in Ireland and the United Kingdom from 2002 to 2014: A systematic review. BMC Public Health 2016, 16, 173–185. [Google Scholar] [CrossRef] [Green Version]
- Voigt, K.; Twork, S.; Mittag, D.; Göbel, A.; Voigt, R.; Klewer, J.; Kugler, J.; Bornstein, S.R.; Bergmann, A. Consumption of alcohol, cigarettes and illegal substances among physicians and medical students in Brandenburg and Saxony (Germany). BMC Health Serv. Res. 2009, 9, 219–225. [Google Scholar] [CrossRef] [Green Version]
- Fabelo, J.R.; Iglesias, S.; Cabrera, R.; Maldonado, M.T. Tobacco and alcohol consumption among health sciences students in Cuba and Mexico. Med. Rev. 2013, 15, 18–23. [Google Scholar]
- El Ansari, W.; Stock, C.; John, J.; Deeny, P.; Phillips, C.; Snelgrove, S. Health promoting behaviours and lifestyle characteristics of students at seven universities in the UK. Cent. Eur. J. Public Health 2011, 19, 197–204. [Google Scholar] [CrossRef] [PubMed]
- Dawson, K.A.; Schneider, M.A.; Fletcher, P.C.; Bryden, P.J. Examining gender differences in the health behaviors of Canadian university students. J. R. Soc. Promot. Health 2007, 127, 38–44. [Google Scholar] [CrossRef]
- Von Bothmer, M.I.K.; Fridlund, B. Gender differences in health habits and in motivation for a healthy lifestyle among Swedish university students. Nurs. Health Sci. 2005, 7, 107–118. [Google Scholar] [CrossRef]
- Lorente, F.O.; Souville, M.; Griffet, J.; Grélot, L. Participation in sports and alcohol consumption among French adolescents. Addict. Behav. 2004, 29, 941–946. [Google Scholar] [CrossRef]
- Varela-Mato, V.; Cancela, J.M.; Ayan, C.; Martín, V.; Molina, A. Lifestyle and health among Spanish university students: Differences by gender and academic discipline. Int. J. Environ. Res. Public Health 2012, 9, 2728–2741. [Google Scholar] [CrossRef] [Green Version]
- Pillon, S.C.; O’brien, B.; Chavez, K.A.P. The relationship between drugs use and risk behaviors in Brazilian university students. Rev. Lat.-Am. Enferm. 2005, 13, 1169–1176. [Google Scholar] [CrossRef] [Green Version]
- Mays, D.; De Padilla, L.; Thompson, N.J.; Kushner, H.I.; Windle, M. Sports participation and problem alcohol use: A multi-wave national sample of adolescents. Am. J. Prev. Med. 2010, 38, 491–498. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gill, J.S. Reported levels of alcohol consumption and binge drinking within the UK undergraduate student population over the last 25 years. Alcohol Alcohol. 2002, 37, 109–120. [Google Scholar] [CrossRef] [Green Version]
- Vickers, K.S.; Patten, C.A.; Bronars, C.; Lane, K.; Stevens, S.R.; Croghan, I.T. Binge drinking in female college students: The association of physical activity, weight concern, and depressive symptoms. J. Am. Coll. Health 2004, 53, 133–140. [Google Scholar] [CrossRef] [PubMed]
- Peretti-Watel, P.; Guagliardo, V.; Verger, P.; Pruvost, J.; Mignon, P.; Obadia, Y. Sporting activity and drug use: Alcohol, cigarette and cannabis use among elite student athletes. J. Addict. 2003, 98, 1249–1256. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Henchoz, Y.; Dupuis, M.; Deline, S.; Studer, J.; Baggio, S.; N’Goran, A.A.; Gmel, G. Associations of physical activity and sport and exercise with at-risk substance use in young men: A longitudinal study. Prev. Med. 2014, 64, 27–31. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Dunn, M.S. Association between physical activity and substance use behaviors among high school students participating in the 2009 Youth Risk Behavior Survey. Psychol. Rep. 2014, 114, 675–685. [Google Scholar] [CrossRef]
- Terry-McElrath, Y.M.; O’Malley, P.M.; Johnston, L.D. Exercise and substance use among American youth, 1991–2009. Am. J. Prev. Med. 2011, 40, 530–540. [Google Scholar] [CrossRef] [Green Version]
- Halperin, A.C.; Smith, S.S.; Heiligenstein, E.; Brown, D.; Fleming, M.F. Cigarette smoking and associated health risks among students at five universities. Nicotinetob. Res. 2010, 12, 96–104. [Google Scholar] [CrossRef] [Green Version]
- Paavola, M.; Vartiainen, E.; Haukkala, A. Smoking, alcohol use, and physical activity: A 13-year longitudinal study ranging from adolescence into adulthood. J. Adolesc. Health 2004, 35, 238–244. [Google Scholar] [CrossRef]
- Kwan, M.; Bobko, S.; Faulkner, G.; Donnelly, P.; Cairney, J. Sport participation and alcohol and illicit drug use in adolescents and young adults: A systematic review of longitudinal studies. Addict. Behav. 2014, 39, 497–506. [Google Scholar] [CrossRef] [Green Version]
- Ford, J.A. Substance use among college athletes: A comparison based on sport/team affiliation. J. Am. Coll. Health 2007, 55, 367–373. [Google Scholar] [CrossRef] [PubMed]
- Bobo, J.K.; Husten, C. Sociocultural influences on smoking and drinking. Alcohol Res. Health J. Natl. Inst. Alcohol Abuse Alcohol. 2000, 24, 225–232. [Google Scholar]
- Mahoney, J.L.; Vest, A.E. The over-scheduling hypothesis revisited: Intensity of organized activity participation during adolescence and young adult outcomes. J. Res. Adolesc. 2012, 22, 409–418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Evans-Polce, R.; Lanza, S.; Maggs, J. Heterogeneity of alcohol, tobacco, and other substance use behaviors in US college students: A latent class analysis. Addict. Behav. 2016, 53, 80–85. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Green, K.; Nelson, T.F.; Hartmann, D. Binge drinking and sports participation in college: Patterns among athletes and former athletes. Int. Rev. Sociol. Sport 2014, 49, 417–434. [Google Scholar] [CrossRef] [Green Version]
- Bedendo, A.; Noto, A.R. Sports practices related to alcohol and tobacco use among high school students. Braz. J. Psychiatry 2015, 37, 99–105. [Google Scholar] [CrossRef] [Green Version]
- Zhou, J.; Heim, D.; O’Brien, K. Alcohol consumption, athlete identity, and happiness among student sportspeople as a function of sport-type. Alcohol Alcohol. 2015, 50, 617–623. [Google Scholar] [CrossRef] [Green Version]
- Sønderlund, A.L.; O’Brien, K.; Kremer, P.; Rowland, B.; De Groot, F.; Staiger, P.; Miller, P.G. The association between sports participation, alcohol use and aggression and violence: A systematic review. J. Sci. Med. Sport 2014, 17, 2–7. [Google Scholar] [CrossRef]
- Wichstrøm, T.; Wichstrøm, L. Does sports participation during adolescence prevent later alcohol, tobacco and cannabis use? Addiction 2009, 104, 138–149. [Google Scholar] [CrossRef]
- Kulesza, M.; Grossbard, J.R.; Kilmer, J.; Copeland, A.L.; Larimer, M.E. Take one for the team? Influence of team and individual sport participation on high school athlete substance use patterns. J. Child. Adolesc. Substain. Abuse 2014, 23, 217–223. [Google Scholar] [CrossRef] [Green Version]
- Badicu, G.; Grosz, W.R.; Balint, L. Influences of Practicing Leisure Sports Activities on Mental Health in Adult Population. In Proceedings of the The European Proceedings of Social & Behavioural Sciences Edu World 2016 7th International Conference, Pitesti, Romania, 4–5 November 2017. [Google Scholar]
Groups | Tobacco Consumption | Alcohol Consumption | |||||
---|---|---|---|---|---|---|---|
Low | Moderate | High | Hazardous | Harmful | High Risk | ||
Gender | Male | 3.74 (0.44) | 5.90 (0.53) | 9.03 (0.79) | 12.95 (2.49) | 17.54 (1.18) | 21.80 (1.93) |
Female | 3.83 (0.38) | 5.80 (0.64) | 8.85 (0.77) | 12.89 (2.31) | 17.00 (1.00) | 21.28 (1.43) | |
Age | 18 years | 3.72 (0.45) | 5.89 (0.56) | 9.00 (0.78) | 12.85 (2.65) | 17.65 (1.19) | 21.80 (1.93) |
19 years | 3.83 (0.38) | 5.90 (0.60) | 8.94 (0.82) | 12.78 (2.25) | 16.83 (0.89) | 21.28 (1.43) | |
≥20 years | 4.00 (0.01) | 5.28 (0.48) | 9.00 (0.01) | 14.66 (0.57) | 17.71 (1.11) | - | |
Year of study | 1st year | 3.76 (0.43) | 5.92 (0.56) | 9.03 (0.79) | 13.03 (2.42) | 17.54 (1.18) | 21.70 (1.83) |
2ed year | 3.80 (0.41) | 5.76 (0.63) | 8.85 (0.77) | 12.80 (2.36) | 16.93 (0.96) | 21.25 (1.48) | |
PA | LPAL | 3.70 (0.48) | 5.94 (0.55) | 9.11 (0.75) | 13.00 (2.78) | 17.73 (1.15) | 21.55 (1.66) |
MPAL | 3.73 (0.44) | 5.88 (0.57) | 9.05 (0.82) | 13.30 (1.98) | 17.34 (1.16) | 21.77 (1.95) | |
HPAL | 3.91 (0.28) | 5.77 (0.64) | 8.42 (0.53) | 12.42 (2.61) | 16.88 (0.97) | 21.25 (1.48) |
Variable | Age | Year of Study | PA Level | Tobacco |
---|---|---|---|---|
Tobacco | −0.035 | −0.032 | −0.159 * | - |
Alcohol | −0.193 * | −0.249 ** | −0.179 * | −0.133 |
Model | −2 Log Likelihood | Chi-Square | df | Sig. |
---|---|---|---|---|
Tobacco | 141.400 | 14.963 | 6 | 0.021 |
Alcohol | 49.225 | 13.895 | 6 | 0.031 |
Estimate | Std. Error | Wald | df | p | ||
---|---|---|---|---|---|---|
Tobacco | [Age = 1.00] | −0.860 | 0.884 | 0.947 | 1 | 0.331 |
[Age = 2.00] | 0.454 | 0.624 | 0.531 | 1 | 0.466 | |
[Year of study = 1.00] | −1.370 | 0.716 | 3.662 | 1 | 0.056 | |
[Gender = 1.00] | 1.097 | 0.763 | 2.069 | 1 | 0.150 | |
[PA_LEVEL = 1.00] | 2.351 | 0.697 | 11.367 | 1 | 0.001 * | |
[PA_LEVEL = 2.00] | 1.202 | 0.565 | 4.532 | 1 | 0.033 * | |
Alcohol | [Age = 1.00] | 1.023 | 0.951 | 1.156 | 1 | 0.282 |
[Age = 2.00] | 0.210 | 0.668 | 0.099 | 1 | 0.754 | |
[Year of study = 1.00] | 2.499 | 0.796 | 9.855 | 1 | 0.002 * | |
[Gender = 1.00] | −1.769 | 0.829 | 4.554 | 1 | 0.033 * | |
[PA_LEVEL = 1.00] | −1.073 | 0.746 | 2.068 | 1 | 0.150 | |
[PA_LEVEL = 2.00] | −0.940 | 0.621 | 2.290 | 1 | 0.130 |
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Badicu, G.; Zamani Sani, S.H.; Fathirezaie, Z. Predicting Tobacco and Alcohol Consumption Based on Physical Activity Level and Demographic Characteristics in Romanian Students. Children 2020, 7, 71. https://0-doi-org.brum.beds.ac.uk/10.3390/children7070071
Badicu G, Zamani Sani SH, Fathirezaie Z. Predicting Tobacco and Alcohol Consumption Based on Physical Activity Level and Demographic Characteristics in Romanian Students. Children. 2020; 7(7):71. https://0-doi-org.brum.beds.ac.uk/10.3390/children7070071
Chicago/Turabian StyleBadicu, Georgian, Seyed Hojjat Zamani Sani, and Zahra Fathirezaie. 2020. "Predicting Tobacco and Alcohol Consumption Based on Physical Activity Level and Demographic Characteristics in Romanian Students" Children 7, no. 7: 71. https://0-doi-org.brum.beds.ac.uk/10.3390/children7070071