Kumar Oynama Bozukluğunda Metabolik Sendrom ve Dürtüsellikle İlişkisi

Yıl 2021, , 257 - 265, 30.09.2021

Aslı Kazğan , Sevler Yıldız , Muhammed Fatih Tabara , Murad Atmaca

https://doi.org/10.51982/bagimli.896037

Öz

Amaç: Bu araştırmanın amacı, kumar oynama bozukluğu (KOB) tanılı hastalardaki Metabolik Sendrom (MetS) parametrelerini sağlıklı kontrollerle kıyaslamak aynı zamanda MetS tanılı KOB‘lardaki dürtüsellik düzeyi ile MetS ilişkisini değerlendirmektir.
Yöntem: Bu çalışmaya KOB tanılı 74 hasta ve 73 sağlıklı kontrol grubu dahil edildi. Tüm katılımcılara sosyodemografik veri formu, Barratt Dürtüsellik Ölçeği Kısa Formu (BDÖ-11) uygulandı. Tüm katılımcıların MetS parametreleri Ulusal Erişkin Kolesterol Eğitim Programı Erişkin Tedavi Paneli III ölçütlerine göre incelendi.
Bulgular: Hasta grubunun BDÖ-11 toplam puanı ve alt ölçek puanları kontrol grubuna göre istatistiksel olarak anlamlı derece yüksek bulundu. Hastalarda MetS oranı %58,1 ile kontrol grubundan yüksek bulundu. Hastaların diyastolik kan basınçları ile hem motor dürtüsellik hem de plansızlık dürtüsellik skorları arasında pozitif yönde anlamlı korelasyon saptandı. Hastaların kontrollere göre SKB’ ları, DKB’ ları, TG ve açlık kan seviyeleri istatistiksel olarak anlamlı şekilde daha yüksek, HDL seviyeleri istatistiksel olarak anlamlı ölçüde daha düşük bulundu.
Sonuç: Çalışmamızda KOB hastalarının yüksek dürtüselliğe sahip olduğu ve bu hastalarda MetS oranlarının sağlıklı kontrollerden yüksek olduğu belirlendi. Bulgularımızın, KOB tedavisinde dürtüsellik temelli yaklaşımların göz önünde bulundurulması ve KOB tanılı hastalarda MetS açısından dikkatli olunmasına vurgu yaptığını düşünmekteyiz.

Anahtar Kelimeler

dürtüsellik, kumar oynama bozukluğu, metabolik sendrom

Destekleyen Kurum

YOK

Proje Numarası

YOK

Teşekkür

YOK

Relationship Between Metabolic Syndrome and Impulsivity in Gambling Disorder

Öz

Objective: The present study aims to compare Metabolic Syndrome (MetS) parameters in pathological gambling disorder (PGD) patients and healthy controls and analyze the correlation between MetS and impulsivity levels in PGD patients with MetS diagnosis.
Method: The present study was conducted with 74 PGD patients and 73 healthy controls. The sociodemographic data form and the Barratt Impulsivity Scale short form (BIS-11) were applied to all participants. The MetS parameters determined for all participants were analyzed based on to the National Cholesterol Education Program (NCEP) Adult Treatment Panel II criteria.
Results: The total BIS-11 and subscale scores of the patient group were statistically significantly higher when compared to the control group. MetS rate in patients was higher than the control group with 58.1%. There was a significant correlation between diastolic blood pressures of the patients and motor impulsivity and unplanned impulse scores. SBPs, DBPs, TG and fasting blood levels of the patients were found to be significantly higher than the controls, while HDL levels were found to be significantly lower.
Conclusion: PGD patients had higher impulsivity levels and MetS rates in these patients were higher than healthy controls. We think that our findings emphasize the consideration of impulsivity-based approaches in PGD treatment and attention to MetS in patients with PGD.

Anahtar Kelimeler

Pathological gambling disorder, metabolic syndrome, impulsivity

Proje Numarası

YOK

Kaynakça

• 1. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th edition. Arlington, American Psychiatric Publishing, 2013.
• 2. American Psychiatric Association and Task Force on DSM-IV. Diagnostic and Statistical Manual of Mental Disorders, 4th edition. Washington, DC, American Psychiatric Publishing, 1994.
• 3. van Holst RJ, van den Brink W, Veltman DJ, Goudriaan AE. Brain imaging studies in pathological gambling. Current psychiatry reports 2010; 12(5): 418-425.
• 4. Güz G, Güz HO. Patolojik kumar bağımlılığında davranışsal inhibisyon. Current Addiction Research 2017; 1(2): 65-71.
• 5. Yang Y, Zhong X, Wu D, et al. Positive association between trait impulsivity and high gamblingrelated cognitive biases among college students. Psychiatry Res 2016; 243: 71-74.
• 6. Batterink L, Yokum S, Stice E. Body mass corre-lates inversely with inhibitory control in response to food among adolescent girls: an fMRI study. Neuroimage 2010; 52(4): 1696-1703.
• 7. Stoeckel LE, Murdaugh DL, Cox JE, et al. Greater impulsivity is associated with decreased brain activation in obese women during a delay discounting task. Brain Imaging Beh 2013; 7(2): 116-128.
• 8. Hamer M, Molloy GJ, Stamatakis E. Psychological distress as a risk factor for cardiovascular events: pathophysiological and behavioral mechanisms. J Am Coll Cardiol 2008; 52(25): 2156-2162.
• 9. Benard M, Camilleri GM, Etile F, et al. Association between impulsivity and weight status in a general popu-lation. Nutrients 2017; 9(3): 217.
• 10. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005; 112(17): 2735-2752.
• 11. Azzam P, Obeid S, Haddad C, et al. Relationship between impulsivity and clinical and sociodemographic variables among Lebanese patients with bipolar disorder: Results of a cross-sectional study. J Nerv Ment Dis 2019; 207(7): 596-603.
• 12. Naiberg MR, Newton DF, Collins JE, et al. Impulsivity is associated with blood pressure and waist circumference among adoles-cents with bipolar disorder. J Psychiatric Res 2016; 83: 230-239.
• 13. Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsiveness scale. J Clin Psychol 1995; 51: 768-774.
• 14. H Güleç, L Tamam, MY Güleç, et al. Barratt dürtüsellik ölçeği-11 (BIS-11)’nin Türkçe uyarlamasının psikometrik özellikleri. Klinik Psikofarmakoloji Bülteni 2008; 18: 251-258.
• 15. Sharma L, Markon KE, Clark LA. Toward a theory of distinct types of “impulsive” behaviors: A meta-analysis of self-report and behavioral measures. Psychol. Bull 2014; 140: 374-408.
• 16. Rahman AS, Xu J, Potenza MN. Hippocampal and amygdalar volumetric differences in pathological gambling: a preliminary study of the associations with the behavioral inhibition system. Neuropsychopharmacology 2014; 39: 738-745.
• 17. Mitchell MR. MNP Addictions and personality traits: impulsivity and related constructs. Curr Behav Neurosci Rep 2014; 1: 1-12.
• 18. Ergun UG, Uguz S, Bozdemir N, et al. The relationship between cholesterol levels and depression in the elderly. Int J Geriatric Psychiatry 2004; 19(3): 291-296.
• 19. Maes M, Smith R, Christophe A, et al. Lower serum high-density lipoprotein cholesterol (HDL-C) in major depression and in depressed men with serious suicidal attempts: relationship with immune-inflammatory markers. Acta Psychiatr Scand 1997; 95(3): 212-221.
• 20. Glueck CJ, Tieger M, Kunkel R, et al. Hypocholesterolemia and affective disorders. Am J Med Sci 1994; 308(4): 218-225.
• 21. Atmaca M, Kuloglu M, Tezcan E, et al. Serum cholesterol and leptin levels in patients with borderline personality disorder. Neuropsychobiol 2002; 45(4): 167-171.
• 22. Yaylaci ET, Kesebir S, Gungordu O. The relationship between impulsivity and lipid levels in bipolar patients: does temperament explain it? Compr Psychiatry 2014; 55(4): 883-886.
• 23. Allen MT, Hogan AM, Laird LK. The relationships of impulsivity and cardiovascular responses: the role of gender and task type. Int J Psychophysiol 2009; 73(3): 369-376.
• 24. Demir NÖ, Tuğlu C. The relationship between metabolic syndrome and impulsivity in patients with bipolar disorder. Anatolian Journal of Psychiatry 2020; 21(3): 277-284.
• 25. Chamberlain SR, Derbyshire KL, Leppink E, Grant JE. Obesity and dissociable forms of impulsivity in young adults. CNS Spectrums 2014; 20: 500–507.
• 26. Nasser JA, Gluck ME, Geliebter A. Impulsivity and test meal intake in obese binge eating women. Appetite 2004; 43: 303–307.
• 27. Meule A, Blechert J. Trait impulsivity and body mass index: A cross-sectional investigation in 3073 individuals reveals positive, but very small relationships. Health Psychology Open 2016; 3(2): 2055102916659164.
• 28. Lyke JA, Spinella M. Associations among aspects of impulsivity and eating factors in a nonclinical sample. International Journal of Eating Disorders 2004; 36: 229–233.
• 29. Kozan O, Oguz A, Abaci A, et al. Prevalence of the metabolic syndrome among Turkish adults. Euro Journal Clin Nutrition 2007; 61(4): 548- 553.
• 30. Margari F, Lozupone M, Pisani R, et al. Metabolic syndrome: diferences between psychiatric and internal medicine patients. Int J Psychiatry Med 2013; 45(3): 203–226.
• 31. Okuda M, Liu W, Cisewski JA, et al. Gambling Disorder and Minority Populations: Prevalence and Risk Factors. Current Addiction Reports 2016; 3: 280-292.
• 32. Andreassen CS, Billieux J, Griffiths MD, et al. The relationship between technological addictions and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors 2016; 30(2): 252-262.
• 33. Kessler RC, Hwang I, LaBrie R, et al. DSM-IV Pathological Gambling in The National Comorbidity Survey Replication. Psychological Medicine 2008; 38: 1351-1360.
• 34. Bland RC, Newman SC, Orn H, Stebelsky G. Epidemiology of pathological gambling in Edmonton. Can J Psychiatry 1993; 38: 108-112.