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The Effect of Risk-Taking on High-calorie Food Intake in University Students with Binge Eating Tendency

The Korean Journal of Health Psychology / The Korean Journal of Health Psychology, (P)1229-070X; (E)2713-9581
2019, v.24 no.2, pp.469-486
https://doi.org/10.17315/kjhp.2019.24.2.010


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Abstract

The objective of this study was to investigate the effect of risk-taking which causes addictive behaviors on high-calorie food intake in University students with binge eating tendency. For this purpose, 465 undergraduates were divided into severe-binge group (n=40) and moderate-binge group (n=40) using binge eating scale. All participants did the Balloon Analogue Risk Task (BART) to assess risk-taking and the bogus taste test to measure the high-calorie food intake. BART is a computerized task pumping a balloon to get monetary compensation until it pops up, participants can decide either to keep pumping a balloon with risk or stop pumping to save money. Results revealed a significant moderation effect, signifying that individuals with higher binge eating tendency and higher risk-taking level consumed the most high-calorie food while individuals with lower binge eating tendency and lower risk-taking level consumed the least high-calorie food. This suggests that risk-taking is a factor moderating the high-calorie food intake of binge eaters, severe-binge eaters with high risk-taking pursue the palatable taste and take the risk of high-calorie food, whereas moderate-binge eaters with low risk-taking do not pursue the taste and risk of the high-calorie food and show the least intake.

keywords
위험감수, 폭식, 음식중독, 음식 섭취량, 고열량 음식, Risk-taking, Binge Eating, Food Addiction, Food Intake, High-calorie Food

Reference

1.

구도형, 이장한 (2017). 자아고갈과 폭식수준이 충동행동에 미치는 영향. Journal of the Korean Data Analysis Society, 19(2), 917-930.

2.

김정택, 신동균 (1978). STAI의 한국표준화에 관한 연구. 최신의학, 21(11), 69-75.

3.

김혜원, 이장한 (2017). 폭식 경향자의 행동활성화체계가 스트레스 경험 후 고열량 음식 주의편향에 미치는 영향. 중앙대학교 대학원 석사학위 청구논문.

4.

이민규, 이영호, 정한용, 최종현, 김승현, 김용구, 이수경 (1995). 한국판 Beck 우울증 척도 표준화 연구 2:타당화연구. 정신병리학, 4(1), 96-104.

5.

이수현, 현명호 (2001). 여중생의 비만도와 신체상 만족도 및 폭식행동이 우울에 미치는 영향. 한국심리학회지: 건강, 6(1), 195-207.

6.

Anderson, D. A., Williamson, D. A., Johnson, W. G., & Grieve, C. O. (2001). Validity of test meals for determining binge eating. Eating Behaviors, 2(2), 105-112.

7.

Balogh, K. N., Mayes, L. C., & Potenza, M. N. (2013). Risk-taking and decision-making in youth: Relationships to addiction vulnerability. Journal of Behavioral Addictions, 2(1), 1-9.

8.

Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychiatry, 4(6), 561-571.

9.

Blum, K., Braverman, E. R., Holder, J. M., Lubar, J. F., Monastra, V. J., Miller, D., Lubar, J. O., Chen, T. J., & Comings, D. E. (2000). The reward deficiency syndrome: A biogenetic model for the diagnosis and treatment of impulsive, addictive and compulsive behaviors. Journal of Psychoactive Drugs, 32(sup1), 1-112.

10.

Brand, M., Fujiwara, E., Borsutzky, S., Kalbe, E., Kessler, J., & Markowitsch, H. J. (2005). Decision-making deficits of Korsakoff patients in a new gambling task with explicit rules:Associations with executive functions. Neuropsychology, 19(3), 267-277.

11.

Carlsson, A. M. (1983). Assessment of chronic pain. I. Aspects of the reliability and validity of the visual analogue scale. Pain, 16(1), 87-101.

12.

Castellanos, N., & Conrod, P. (2006). Brief interventions targeting personality risk factors for adolescent substance misuse reduce depression, panic and risk-taking behaviours. Journal of Mental Health, 15(6), 645-658.

13.

Davis, C. (2017). A commentary on the associations among ‘food addiction’, binge eating disorder, and obesity: Overlapping conditions with idiosyncratic clinical features. Appetite, 115, 3-8.

14.

De Haan, L., Egberts, A. C. G., & Heerdink, E. R. (2015). The relation between risk-taking behavior and alcohol use in young adults is different for men and women. Drug and Alcohol Dependence, 155, 222-227.

15.

Ely, A. V., Howard, J., & Lowe, M. R. (2015). Delayed discounting and hedonic hunger in the prediction of lab-based eating behavior. Eating behaviors, 19, 72-75.

16.

Feldstein, S. W., & Miller, W. R. (2006). Substance use and risk-taking among adolescents. Journal of Mental Health, 15(6), 633-643.

17.

Field, M., & Cox, W. M. (2008). Attentional bias in addictive behaviors: A review of its development, causes, and consequences. Drug and Alcohol Dependence, 97(1), 1-20.

18.

Franken, I. H., & Muris, P. (2006). BIS/BAS personality characteristics and college students’substance use. Personality and Individual Differences, 40(7), 1497-1503.

19.

Gearhardt, A. N., Davis, C., Kuschner, R., & Brownell, K. D. (2011). The addiction potential of hyperpalatable foods. Current Drug Abuse Reviews, 4(3), 140-145.

20.

Geier, C., & Luna, B. (2009). The maturation of incentive processing and cognitive control. Pharmacology Biochemistry and Behavior, 93(3), 212-221.

21.

Goldfield, G. S., Adamo, K. B., Rutherford, J., & Legg, C. (2008). Stress and the relative reinforcing value of food in female binge eaters. Physiology and Behavior, 93(3), 579-587.

22.

Gormally, J., Black, S., Daston, S., & Rardin, D. (1982). The assessment of binge eating severity among obese persons. Addictive Behaviors, 7(1), 47-55.

23.

Gray, J. A. (1987). The psychology of fear and stress. New York, Cambridge: Cambridge University Press.

24.

Guerrieri, R., Nederkoorn, C., & Jansen, A. (2012). Disinhibition is easier learned than inhibition. The effects of (dis) inhibition training on food intake. Appetite, 59(1), 96-99.

25.

Henry, K. L., Slater, M. D., & Oetting, E. R. (2005). Alcohol use in early adolescence: The effect of changes in risk taking, perceived harm and friends' alcohol use. Journal of Studies on Alcohol, 66(2), 275-283.

26.

Hudson, J. I., Lalonde, J. K., Coit, C. E., Tsuang, M. T., McElroy, S. L., Crow, S. J., Bulik, C. M., Hudson, M. S., Yanovski, J. A., Rosenthal, N. R., & Pope, H. G. (2010). Longitudinal study of the diagnosis of components of the metabolic syndrome in individuals with binge-eating disorder. The American Journal of Clinical Nutrition, 91(6), 1568-1573.

27.

Jorm, A. F., Christensen, H., Henderson, A. S., Jacom, P. A., Korten, A. E., & Rodgers, B. (1999). Using the BIS/BAS scales to measure behavioural inhibition and behavioural activation:Factor structure, validity and norms in a large community sample. Personality and Individual Differences, 26(1), 49–58.

28.

Kacelnik, A., & Bateson, M. (1997). Risk-sensitivity:Crossroads for theories of decision-making. Trends in Cognitive Sciences, 1(8), 304-309.

29.

Kakoschke, N., Kemps, E., & Tiggemann, M. (2015). Combined effects of cognitive bias for food cues and poor inhibitory control on unhealthy food intake. Appetite, 87, 358-364.

30.

Kemps, E., Tiggemann, M., Martin, R., & Elliott, M. (2013). Implicit approach–avoidance associations for craved food cues. Journal of Experimental Psychology: Applied, 19(1), 30-38.

31.

Kenny, P. J. (2011). Common cellular and molecular mechanisms in obesity and drug addiction. Nature Reviews Neuroscience, 12(11), 638-651.

32.

Knyazev, G. G. (2004). Behavioural activation as predictor of substance use: Mediating and moderating role of attitudes and social relationships. Drug and Alcohol Dependence, 75(3), 309-321.

33.

Kuhnen, C. M., & Knutson, B. (2005). The neural basis of financial risk taking. Neuron, 47(5), 763-770.

34.

Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., Strong, D. R., & Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75-84.

35.

Lejuez, C. W., Aklin, W. M., Zvolensky, M. J., & Pedulla, C. M. (2003). Evaluation of the Balloon Analogue Risk Task (BART) as a predictor of adolescent real-world risk-taking behaviours. Journal of Adolescence, 26(4), 475-479.

36.

Loxton, N. J., & Dawe, S. (2001). Alcohol abuse and dysfunctional eating in adolescent girls: The influence of individual differences in sensitivity to reward and punishment. International Journal of Eating Disorders, 29(4), 455-462.

37.

Manasse, S. M., Forman, E. M., Ruocco, A. C., Butryn, M. L., Juarascio, A. S., & Fitzpatrick, K. K. (2015). Do executive functioning deficits underpin binge eating disorder? A comparison of overweight women with and without binge eating pathology. International Journal of Eating Disorders, 48(6), 677-683.

38.

Marcus, M. D., Wing, R. R,, & Hopkins, J. (1988). Obese binge eaters: Affect, cognitions and response to behavioral weight control. Journal of Consulting and Clinical Psychology, 56, 433-439.

39.

Markon, K. E., Quilty, L. C., Bagby, R. M., & Krueger, R. F. (2013). The development and psychometric properties of an informant-report form of the Personality Inventory for DSM-5(PID-5). Assessment, 20(3), 370-383.

40.

Matthews, S. C., Simmons, A. N., Lane, S. D., & Paulus, M. P. (2004). Selective activation of the nucleus accumbens during risk-taking decision making. Neuroreport, 15(13), 2123-2127.

41.

Mishra, S., Barclay, P., & Sparks, A. (2017). The relative state model: Integrating need-based and ability-based pathways to risk-taking. Personality and Social Psychology Review, 21(2), 176-198.

42.

Montague, P. R., & Berns, G. S. (2002). Neural economics and the biological substrates of valuation. Neuron, 36(2), 265-284.

43.

O'Connor, R. M., & Colder, C. R. (2005). Predicting alcohol patterns in first-year college students through motivational systems and reasons for drinking. Psychology of Addictive Behaviors, 19(1), 10-20.

44.

O’Doherty, J. P. (2004). Reward representations and reward-related learning in the human brain:Insights from neuroimaging. Current Opinion in Neurobiology, 14(6), 769-776.

45.

Pardo, Y., Aguilar, R., Molinuevo, B., & Torrubia, R. (2007). Alcohol use as a behavioural sign of disinhibition: Evidence from JA Gray's model of personality. Addictive Behaviors, 32(10), 2398-2403.

46.

Paulus, M. P., & Frank, L. R. (2006). Anterior cingulate activity modulates nonlinear decision weight function of uncertain prospects. Neuroimage, 30(2), 668-677.

47.

Sharma, L., Markon, K. E., & Clark, L. A. (2014). Toward a theory of distinct types of “impulsive”behaviors: A meta-analysis of self-report and behavioral measures. Psychological Bulletin, 140(2), 374-408.

48.

Spielberger, C. D., Gorsuch, R. K., & Lushene, R. E. (1970). Manual for the State-Trait Anxiety Inventory. Palo Alto, CA: Consulting Psychologists Press.

49.

Spring, B., Schneider, K., Smith, M., Kendzor, D., Appelhans, B., Hedeker, D., & Pagoto, S. (2008). Abuse potential of carbohydrates for overweight carbohydrate cravers. Psychopharmacology, 197(4), 637-647.

50.

Steinberg, L. (2010). A dual systems model of adolescent risk‐taking. Developmental Psychobiology, 52(3), 216-224.

51.

Svaldi, J., Brand, M., & Tuschen-Caffier, B. (2010). Decision-making impairments in women with binge eating disorder. Appetite, 54(1), 84-92.

52.

Takahashi, H., Matsui, H., Camerer, C., Takano, H., Kodaka, F., Ideno, T., ..., & Murai, T. (2010). Dopamine D1 receptors and nonlinear probability weighting in risky choice. Journal of Neuroscience, 30(49), 16567-16572.

53.

Upton, D. J., Bishara, A. J., Ahn, W. Y., & Stout, J. C. (2011). Propensity for risk taking and trait impulsivity in the Iowa Gambling Task. Personality and Individual Differences, 50(4), 492-495.

54.

Van Ryckeghem, D. M., De Houwer, J., Van Bockstaele, B., Van Damme, S., De Schryver, M., & Crombez, G. (2013). Implicit associations between pain and self-schema in patients with chronic pain. Pain, 154(12), 2700-2706.

55.

Volkow, N. D., & Wise, R. A. (2005). How can drug addiction help us understand obesity? Nature Neuroscience, 8(5), 555-560.

56.

Voon, V., Morris, L. S., Irvine, M. A., Ruck, C., Worbe, Y., Derbyshire, K., Rankov, V., Schreiber, L. R., Odlaug, L. R., Harrison, N. A., Wood, J., Robbins, T. W., Bullmore, E. T., & Grant, J. E. (2015). Risk-taking in disorders of natural and drug rewards: Neural correlates and effects of probability, valence, and magnitude. Neuropsychopharmacology, 40(4), 804-812.

57.

Weber, E. U., Blais, A. R., & Betz, N. E. (2002). A domain‐specific risk‐attitude scale: Measuring risk perceptions and risk behaviors. Journal of Behavioral Decision Making, 15(4), 263-290.

58.

Young, J. W., Van Enkhuizen, J., Winstanley, C. A., & Geyer, M. A. (2011). Increased risk-taking behavior in dopamine transporter knockdown mice: Further support for a mouse model of mania. Journal of Psychopharmacology, 25(7), 934-943.

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