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  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

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폭식경향이 있는 대학생의 위험감수 성향이 고열량 음식 섭취에 미치는 영향

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

한국심리학회지: 건강 / 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
신성경 (중앙대학교)
이장한 (중앙대학교)

초록

본 연구는 중독행동 유발과 관련이 있는 위험감수 성향이 폭식경향이 있는 대학생의 고열량 음식 섭취 증가에 미치는 영향을 알아보았다. 총 465명의 대학생을 폭식 척도의 절단점을 기준으로 심각한 폭식경향(40명)과 중간 수준의 폭식경향(40명)으로 분류한 뒤, 모든 참여자에게 풍선 위험 과제로 위험감수 성향을 측정하고 보거스 맛 테스트로 고열량 음식 섭취량을 측정하였다. 풍선 위험 과제는 풍선이 터지기 전까지 팽창시켜 금전적 보상을 획득하는 과제로, 각 개인이 풍선이 터지는 위험을 언제까지 감수하는지 확인하여 위험감수 성향을 측정한다. 실험 결과, 위험감수 성향이 폭식경향자의 고열량 음식 섭취량을 조절하는 것으로 나타났다. 위험감수 성향의 조절효과가 유의미하여 폭식경향자의 고열량 음식 섭취량을 위험감수 성향이 변화시키는 것을 알 수 있었다. 폭식경향과 위험감수 성향이 모두 높은 경우 고열량 음식 섭취량이 가장 많은 반면, 폭식경향과 위험감수 성향이 모두 낮은 경우에 고열량 음식 섭취량이 가장 적은 것으로 나타났다. 이를 통해, 위험감수 성향이 폭식경향자의 고열량 음식 섭취를 조절하는 요인으로 작용하여, 두 요인이 결합된 위험감수 성향이 높은 심각한 폭식경향자는 고열량 음식의 위험을 감수하고 자극적인 맛의 고열량 음식을 추구하는데 비해, 위험감수 성향이 낮은 중간 폭식경향자는 고열량 음식의 맛과 위험을 추구하지 않으므로 고열량 음식 섭취량이 크게 감소하는 것을 확인할 수 있었다.

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

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

참고문헌

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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