Smoking, drinking, and food addiction among youth in Sivas, Türkiye

Alev Aktaş

doi:10.19161/etd.1471612

TR EN

Türkiye'nin Sivas kentindeki gençler arasında sigara, içki ve yeme bağımlılığı

Öz

Amaç: Madde bağımlılığı önemli bir sorundur. Dünya genelinde beslenme alışkanlıklarının değişmesi ve hazır gıdalara olan ilginin artması da önemli bir konulardandır. Bu çalışmanın amacı, gençlerde nikotin bağımlılığı düzeyi ve alkol kullanımı ile yeme bağımlılığı arasındaki ilişkiyi araştırmaktır. Ayrıca bu ilişkide dürtüselliğin aracı değişken rolünü değerlendirmek amaçlanmıştır. Gereç ve Yöntem: Çalışma 533 öğrenci ile gerçekleştirilmiştir. Veriler anket formu, Fagerström Nikotin Bağımlılığı Testi (FTND), Alkol Kullanım Bozuklukları Tanıma Testi (AUDIT-C), UPPS Dürtüsel Davranış Ölçeği ve Yale Yeme Bağımlılığı Ölçeği kullanılarak çevrimiçi olarak toplanmıştır. Verileri analiz etmek için korelasyon, MANCOVA ve aracılı regresyon analizi (Hayes, Model 4) kullanılmıştır. Bulgular: Çalışmaya %79 kadın ve %21 erkek katılımcı dahil edilmiştir. Katılımcılar arasında sigara ve alkol tüketimi yaygınlığı sırasıyla %21,2 ve %15,8'dir. Şiddetli düzeyde yeme bağımlılığı prevalansı %5,4 olarak hesaplanmıştır. Bu çalışmanın bulguları, cinsiyetin alkol tüketimi ve nikotin bağımlılığının derecesi üzerinde önemli bir etkisi olduğunu ve bu etkilerin dürtüsel davranış özelliklerine bağlı olarak değiştiğini göstermektedir. Aracı regresyon analizinin sonuçları da nikotin bağımlılığının derecesinin dürtüsel davranışlara bağlı olarak yeme bağımlılığı üzerinde önemli bir etkiye sahip olduğunu, ancak bu etkinin alkol kullanımı için anlamlı olmadığını göstermektedir. Sonuç: Çalışmamızın bulguları, yasal madde kullanımı ve yeme bağımlılığının farklı düzeylerinin gençler arasında yaygın olduğunu göstermektedir. Ayrıca, sonuçlarımız nikotin bağımlılığının derecesi ile dürtüsel davranışlara atfedilebilecek yeme bağımlılığı arasında önemli bir korelasyon olduğunu göstermektedir. Bu konuda daha somut ve güvenilir bilgiler elde etmek için farklı tekniklerin kullanımını da içeren daha fazla araştırma yapılması gerekmektedir.

Anahtar Kelimeler

Smoking, drinking, and food addiction among youth in Sivas, Türkiye

Abstract

Aim: Substance abuse is a major issue. The change in eating habits worldwide and the increasing interest in convenience foods are also important issues. The aim of this study is to investigate the relationship between the degree of nicotine dependence, alcohol consumption, and food addiction in young people. It also aimed to assess the role of impulsivity as a mediating variable in this relationship. Materials and Methods: The study was conducted with 533 students. Data were collected online using the questionnaire form, Fagerström Test for Nicotine Dependence Test (FTND), Alcohol Use Disorders Identification Test (AUDIT-C), UPPS Impulsive Behaviour Scale, and Yale Food Addiction Scale. Correlation, MANCOVA, and mediated regression analysis (Hayes, Model 4) were used to analyze the data. Results: The study involved 79% female and 21% male participants. The prevalence of smoking and alcohol consumption among the participants was 21.2% and 15.8%, respectively. The prevalence of severe food addiction was estimated at 5.4%. The findings of this study indicate that sex has a significant effect on alcohol consumption and degree of nicotine dependence, with these effects varying depending on impulsive behavior characteristics. The results of the mediated regression analysis also demonstrate that the degree of nicotine dependence has a significant effect on food addiction depending on impulsive behaviors, although this effect is not significant for alcohol use. Conclusion: The findings of our study indicate that legal substance use and food addiction are prevalent among young people. Furthermore, our results demonstrate a significant correlation between the degree of nicotine dependence and food addiction, which can be attributed to impulsive behaviors. Further research, including the use of different techniques, is required in order to obtain more concrete and reliable information on this subject.

Keywords

Destekleyen Kurum

Sivas Cumhuriyet University

Proje Numarası

EDB-2023-047

Etik Beyan

Ethical approval was obtained from Social Sciences Scientific Research Proposal Ethical Evaluation Board (Decision No. 2023/1-39 dated 17.03.2023). Informed consent was obtained from each participant.

Kaynakça

Ignaszewski MJ. The Epidemiology of Drug Abuse. J Clin Pharmacol [Internet]. 2021 Aug 15;61(S2). Available from: https://onlinelibrary.wiley.com/doi/10.1002/jcph.1937
Substance Abuse and Mental Health Services Administration (SAMHSA). Key Substance Use and Mental Health Indicators in the United States: Results from the 2020 National Survey on Drug Use and Health. 2021.
European Union Drugs Agency. Statistical Bulletin 2024 — prevalence of drug use [Internet]. Portugal; 2024. Available from: https://www.euda.europa.eu/data/stats2024/gps_en
Monteiro CA, Moubarac J-C, Cannon G, Ng SW, Popkin B. Ultra-processed products are becoming dominant in the global food system. Obes Rev [Internet]. 2013 Nov;14:21–8. Available from: https://onlinelibrary.wiley.com/doi/10.1111/obr.12107
Upreti YR, Bastien S, Bjønness B, Devkota B. The socio-ecological model as a framework for understanding junk food consumption among schoolchildren in Nepal. Nutr Health [Internet]. 2021 Oct 9;27(3):337–46. Available from: http://journals.sagepub.com/doi/10.1177/02601060211000169
Monteiro CA, Cannon G, Levy RB, Moubarac J-C, Louzada ML, Rauber F, et al. Ultra-processed foods: what they are and how to identify them. Public Health Nutr [Internet]. 2019 Apr 12;22(5):936–41. Available from: https://www.cambridge.org/core/product/identifier/S1368980018003762/type/journal_article
Djupegot IL, Nenseth CB, Bere E, Bjørnarå HBT, Helland SH, Øverby NC, et al. The association between time scarcity, sociodemographic correlates and consumption of ultra-processed foods among parents in Norway: a cross-sectional study. BMC Public Health [Internet]. 2017 Dec 15;17(1):447. Available from: http://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-017-4408-3
Monteiro CA, Cannon G, Moubarac J-C, Levy RB, Louzada MLC, Jaime PC. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr [Internet]. 2018 Jan 21;21(1):5–17. Available from: https://www.cambridge.org/core/product/identifier/S1368980017000234/type/journal_article

Carlier N, Marshe VS, Cmorejova J, Davis C, Müller DJ. Genetic Similarities between Compulsive Overeating and Addiction Phenotypes: A Case for “Food Addiction”? Curr Psychiatry Rep [Internet]. 2015 Dec 19;17(12):96. Available from: http://link.springer.com/10.1007/s11920-015-0634-5
Gendall K, Joyce P. Characteristics of food cravers who binge eat. In: Hetherington M, editor. Food cravings and addiction. Surrey (UK): Leatherhead Publishing; 2001. p. 567–84.
Basdevant A, Craplet C, Guy-Grand B. Snacking Patterns in Obese French Women. Appetite [Internet]. 1993 Aug;21(1):17–23. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666383710330
Delahanty LM, Meigs JB, Hayden D, Williamson DA, Nathan DM. Psychological and Behavioral Correlates of Baseline BMI in the Diabetes Prevention Program (DPP). Diabetes Care [Internet]. 2002 Nov 1;25(11):1992–
8. Available from: https://diabetesjournals.org/care/article/25/11/1992/24678/Psychological-and-Behavioral- Correlates-of
Corsica JA, Pelchat ML. Food addiction: true or false? Curr Opin Gastroenterol [Internet]. 2010 Mar;26(2):165–9. Available from: http://journals.lww.com/00001574-201003000-00016
Meule A. How Prevalent is ?Food Addiction?? Front Psychiatry [Internet]. 2011;2(61):1–4. Available from: http://journal.frontiersin.org/article/10.3389/fpsyt.2011.00061/abstract
Ng J, Stice E, Yokum S, Bohon C. An fMRI study of obesity, food reward, and perceived caloric density. Does a low-fat label make food less appealing? Appetite [Internet]. 2011 Aug;57(1):65–72. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666311001218
Parylak SL, Koob GF, Zorrilla EP. The dark side of food addiction. Physiol Behav [Internet]. 2011 Jul;104(1):149–56. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0031938411002265
Schulte EM, Kral TVE, Allison KC. A cross-sectional examination of reported changes to weight, eating, and activity behaviors during the COVID-19 pandemic among United States adults with food addiction. Appetite [Internet]. 2022 Jan;168:105740. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666321006474
Gearhardt AN, Grilo CM, DiLeone RJ, Brownell KD, Potenza MN. Can food be addictive? Public health and policy implications. Addiction [Internet]. 2011 Jul;106(7):1208–12. Available from: https://onlinelibrary.wiley.com/doi/10.1111/j.1360-0443.2010.03301.x
Carter A, Hendrikse J, Lee N, Yücel M, Verdejo-Garcia A, Andrews ZB, et al. The Neurobiology of “Food Addiction” and Its Implications for Obesity Treatment and Policy. Annu Rev Nutr [Internet]. 2016 Jul 17;36(1):105–28. Available from: https://www.annualreviews.org/doi/10.1146/annurev-nutr-071715-050909
Schienle A, Schäfer A, Hermann A, Vaitl D. Binge-Eating Disorder: Reward Sensitivity and Brain Activation to Images of Food. Biol Psychiatry [Internet]. 2009 Apr;65(8):654–61. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0006322308011682
Wang G-J, Volkow ND, Logan J, Pappas NR, Wong CT, Zhu W, et al. Brain dopamine and obesity. Lancet [Internet]. 2001 Feb;357(9253):354–7. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0140673600036436
Curtis C, Davis C. A Qualitative Study of Binge Eating and Obesity From an Addiction Perspective. Eat Disord [Internet]. 2014 Jan 23;22(1):19–32. Available from: http://www.tandfonline.com/doi/abs/10.1080/10640266.2014.857515 Pursey KM, Collins CE, Stanwell P, Burrows TL. Foods and dietary profiles associated with ‘food addiction’ in young adults. Addict Behav Reports [Internet]. 2015 Dec;2:41–8. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2352853215000243
Schulte EM, Smeal JK, Gearhardt AN. Foods are differentially associated with subjective effect report questions of abuse liability. Allen P, editor. PLoS One [Internet]. 2017 Aug 31;12(8):e0184220. Available from: https://dx.plos.org/10.1371/journal.pone.0184220
National Institute on Drug Abuse. Principles of Adolescent Substance Use Disorder Treatment: A Research- Based Guide. 2018. 1–44 p.
WHO. Body mass index (BMI) [Internet]. 2022. Available from: https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/body-mass-index
Heatherton T., Kozlowski L., Frecker R., Fagerström K. The Fagerstrom Test for Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict. 1991;86:1119–27.
Uysal M, Kadakal F, Karşidağ C, Bayram N, Uysal O, Yilmaz V. Fagerstrom test for nicotine dependence: reliability in a Turkish sample and factor analysis. Tuberk Toraks [Internet]. 2004;52(2):115–21. Available from: https://pubmed.ncbi.nlm.nih.gov/15241694/
Babor T, Higgins-Biddle JC, Saunders JB, Monteiro MG. The Alcohol Use Disorders Identification Test: Guidelines for use in primary care. Geneva: World Health Organization. Geneva, Switzerland; 2001.
Saatçioğlu Ö, Evren C, Çakmak D. Alkol Kullanım bozuklukları Tanıma Testinin Geçerliği ve Güvenirliği. Türkiye’de Psikiyatr. 2002;4(2–3):107–13.
Whiteside SP, Lynam DR. The Five Factor Model and impulsivity: using a structural model of personality to understand impulsivity. Pers Individ Dif [Internet]. 2001 Mar;30(4):669–89. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0191886900000647
Yargıç İ, Ersoy E, Oflaz SB. UPPS Dürtüsel Davranış Ölçeği ile Psikiyatri Hastalarında Dürtüselliğin Ölçümü. Klin Psikofarmakol Bülteni-Bulletin Clin Psychopharmacol [Internet]. 2011 Jun 8;21(2):139–46. Available from: https://www.tandfonline.com/doi/full/10.5455/bcp.20110706024203
Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale. Appetite [Internet]. 2009 Apr;52(2):430–6. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666308006223
Bayraktar F, Erkman F, Kurtuluş E. Adaptation study of Yale Food Addiction Scale. Bull Clin
Psychopharmacol [Internet]. 2012;22(1):38. Available from: https://psychiatry- psychopharmacology.com/en/adaptation-study-of-yale-food-addiction-scale-161754
Buyuktuncer Z, Akyol A, Ayaz A, Nergiz-Unal R, Aksoy B, Cosgun E, et al. Turkish version of the Yale Food Addiction Scale: preliminary results of factorial structure, reliability, and construct validity. J Heal Popul Nutr [Internet]. 2019 Dec 10;38(1):42. Available from: https://jhpn.biomedcentral.com/articles/10.1186/s41043- 019-0202-4
Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods [Internet]. 2008 Aug;40(3):879–91. Available from: http://link.springer.com/10.3758/BRM.40.3.879
Hayes AF. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford Press; 2013.
WHO. Tobacco [Internet]. 2022. Available from: https://www.who.int/news-room/fact-sheets/detail/tobacco
Uzbay T. Bağımlılık yapan maddeler ve özellikleri. MİSED (Türk Eczac Birliği Mesl İçi Sürekli Eğitim Dergisi). 2009;Aralık (21:16–33.
Papagiannis D, Malli F, Papathanasiou I V., Routis P, Fradelos E, Kontopoulou L, et al. Attitudes and Smoking Prevalence Among Undergraduate Students in Central Greece. In 2021. p. 1–7. Available from: https://link.springer.com/10.1007/978-3-030-78787-5_1
Ünal Demir F, Akpınar Aslan E, Batmaz S, Çelikbaş Z, Hızlı G, Ünübol H. Sigara, Alkol veya Madde Kullanan Üniversite Öğrencilerinin Bağımlılığa Yönelik Farkındalık, Olumsuz Tutum ve Damgalama Düzeyleri. Bağımlılık Derg [Internet]. 2022 Mar 31;23(1):86–94. Available from: http://dergipark.org.tr/tr/doi/10.51982/bagimli.978640
World Health Organization. “Pure alcohol consumption, litres per capita, age 15+” [Internet]. 2018. Available
from: https://gateway.euro.who.int/en/indicators/hfa_426-3050-pure-alcohol-consumption-litres-per-capita- age-15plus/visualizations/#id=19443
Burstein M. Use and Abuse of Alcohol and Illicit Drugs in US Adolescents. Arch Gen Psychiatry [Internet]. 2012 Apr 1;69(4):390. Available from: http://archpsyc.jamanetwork.com/article.aspx?doi=10.1001/archgenpsychiatry.2011.1503
Santangelo O, Provenzano S, Piazza D, Firenze A. Factors associated with risky consumption of alcohol in a sample of university students. Ann Ig. 2018;30(6):502–8.
Atlam DH, Kaylı DŞ, Göven BA. Predictors of attitude toward substance users: a field study in Turkey. J Subst Use [Internet]. 2023 Apr 24;1–6. Available from: https://www.tandfonline.com/doi/full/10.1080/14659891.2023.2202737
Havaçeliği Atlam D, Yüncü Z. Relationship Between Cigarette, Alcohol, Substance Use Disorders and Familial Drug Use in University Students. J Clin Psychiatry [Internet]. 2017;20(3):161–70. Available from: http://www.journalagent.com/z4/download_fulltext.asp?pdir=kpd&plng=tur&un=KPD-88598
Hilmers A, Hilmers DC, Dave J. Neighborhood Disparities in Access to Healthy Foods and Their Effects on Environmental Justice. Am J Public Health [Internet]. 2012 Sep;102(9):1644–54. Available from: https://ajph.aphapublications.org/doi/full/10.2105/AJPH.2012.300865
Fryar C, Hughes J, Herrick K, Ahluwalia N. Fast Food Consumption Among Adults in the United States, 2013–2016. NCHS Data Brief. 2018;322:1–8.
Fryar C, Carroll MD, Ahluwalia N, Ogden CL. Fast Food Intake Among Children and Adolescents in the United States, 2015–2018. NCHS Data Brief. 2020;375:1–8.
Sundborn G, Merriman TR, Thornley S, Metcalf P, Jackson R. An ‘End-Game’ for sugar sweetened beverages? Pac Health Dialog. 2014;20(1):22–30.
Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, et al. The global obesity pandemic: shaped by global drivers and local environments. Lancet [Internet]. 2011 Aug;378(9793):804–14. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0140673611608131
Hartman-Petrycka M, Witkoś J, Lebiedowska A, Błońska-Fajfrowska B. Who Likes Unhealthy Food with a Strong Flavour? Influence of Sex, Age, Body Mass Index, Smoking and Olfactory Efficiency on Junk Food Preferences. Nutrients [Internet]. 2022 Oct 2;14(19):4098. Available from: https://www.mdpi.com/2072- 6643/14/19/4098
Tekin A, Yetkin A, Gürsoy Ç. Genç erişkinlerde yeme bağımlılığı ile dürtüsellik arasındaki ilişkinin incelenmesi. Online Türk Sağlık Bilim Derg [Internet]. 2018 Dec 31; Available from: https://dergipark.org.tr/tr/doi/10.26453/otjhs.416562
Akpinar Aslan E, Batmaz S, Celikbas Z, Kilincel O, Hizli Sayar G, Unubol H. Prevalence of Risk for Substance-Related and Behavioral Addictions Among University Students in Turkey. ADDICTA Turkish J
Addict [Internet]. 2021 May 25;8(1):35–44. Available from: https://www.addicta.com.tr/en/prevalence-of-risk- for-substance-related-and-behavioral-addictions-among-university-students-in-turkey-13223
Brewer JA, Potenza MN. The neurobiology and genetics of impulse control disorders: Relationships to drug addictions. Biochem Pharmacol [Internet]. 2008 Jan;75(1):63–75. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0006295207004236
Brown S, Fite PJ, Bortolato M. The mediating role of impulsivity in the associations between child maltreatment types and past month substance use. Child Abuse Negl [Internet]. 2022 Jun;128:105591. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0145213422001119
Davis CA, Levitan RD, Reid C, Carter JC, Kaplan AS, Patte KA, et al. Dopamine for “Wanting” and Opioids for “Liking”: A Comparison of Obese Adults With and Without Binge Eating. Obesity [Internet]. 2009 Jun;17(6):1220–5. Available from: http://doi.wiley.com/10.1038/oby.2009.52
Mies GW, Treur JL, Larsen JK, Halberstadt J, Pasman JA, Vink JM. The prevalence of food addiction in a large sample of adolescents and its association with addictive substances. Appetite [Internet]. 2017 Nov;118:97–105. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666317308280
Murphy CM, Stojek MK, MacKillop J. Interrelationships among impulsive personality traits, food addiction, and Body Mass Index. Appetite [Internet]. 2014 Feb;73:45–50. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0195666313004182
Melby-Lervåg M, Redick TS, Hulme C. Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of “Far Transfer.” Perspect Psychol Sci [Internet]. 2016 Jul 29;11(4):512–34. Available from: http://journals.sagepub.com/doi/10.1177/1745691616635612
Aslan R, Aktaş A, Akgür S. Çocuk ve Ergenlerde Madde Kullanımı ve Adli Toksikolojik Analizler. Bağımlılık Derg [Internet]. 2023 Mar 31;24(1):93–103. Available from: http://dergipark.org.tr/tr/doi/10.51982/bagimli.1071269