Journal of Nutrition and Health

  • 제47권2호
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  • Pages.134-144
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  • 2014
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  • 2288-3886(pISSN)
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  • 2288-3959(eISSN)
한국영양학회 (The Korean Nutrition Society)
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과일섭취 의도에 영향을 미치는 요인: 과일섭취 습관의 조절효과

Factors influencing on intention to intake fruit: moderating effect of fruit intake habit

  • 김혜수 (이화여자대학교 식품영양학과) ;
  • 서선희 (이화여자대학교 식품영양학과)
  • Kim, Hyesoo (Department of Nutritional Science and Food Management, Ewha Womans University) ;
  • Seo, Sunhee (Department of Nutritional Science and Food Management, Ewha Womans University)
  • 투고 : 2013.12.13
  • 심사 : 2014.02.21
  • 발행 : 2014.04.30
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초록

본 연구는 계획적 행동이론을 적용하여, 소비자의 과일 섭취의도에 영향을 주는 요인을 파악하였다. 또한 건강 행동관련 연구에서 상관성이 높게 나타난 '습관' 요인을 추가하여 새로운 연구모형을 개발하여 과일섭취 의도와 과일섭취 행동에 영향을 미치는 요인을 파악하였다. 서울 지역에 거주하는 소비자 734명의 설문조사를 실시한 결과, 과일섭취에 대한 태도, 사회적 규범, 지각된 행동통제, 과일섭취 습관이 과일섭취 의도에 긍정적인 영향을 미치는 것으로 나타났다. 따라서, 과일 섭취의도를 높이기 위해서 과일 섭취에 대한 태도, 사회적 규범, 지각된 행동통제 등을 증가시킴으로써 가능하다는 것을 확인할 수 있었다. 한편 과일섭취 의도가 과일섭취 행동에 미치는 영향에 대한 과일섭취 습관의 조절효과를 분석한 결과, 과일섭취 습관이 과일섭취 의도가 과일섭취 행동으로 이어지는 과정에 (-)의 방향으로 영향을 미치는 것으로 나타났다. 다시 말해서, 과일을 습관적으로 섭취하는 경향이 강한 사람들은 그렇지 않은 사람들에 비해 섭취행동이 섭취의도의 영향을 상대적으로 덜 받는다는 것이다. 이는 개인이 행동을 수행함에 있어 습관강도가 강한 집단의 경우 의도에 의한 영향은 덜 받는 반면, 습관 요인에 의해 행동이 재현되는 경향이 크다는 것을 의미한다. 따라서, 소비자들의 과일섭취 증대를 위해 습관의 정도에 따라 대상을 구분하여 교육하거나 우선 순위 선정시 습관의 조절효과를 활용할 수 있으리라 생각된다. 과일 섭취행동조사 문항으로써 성인 기준 1일 섭취권장량과 비교한 섭취량을 포함하지 못한 것이 본 연구의 한계점이 될 수 있다. 후속연구로 하루 과일 섭취권장량 충족여부를 기준으로 권장량에 미달한 집단에 대한 심층적 분석결과는 과일섭취량을 권장량에 도달할 수 있는 방안을 제시하는데 도움을 줄 수 있을 것이다. 또한 기존의 계획적 행동이론에 '습관'이라는 새로운 요인을 추가하였던 본 연구가 과일 섭취 행동 모델에 설명력을 높였듯이 새로운 요인을 파악하는 후속연구가 필요하다.

Purpose: The purpose of this study is to identify factors affecting fruit consumption behavior by application of the Theory of Planned Behavior. In addition, this study examined the moderating effect of a fruit eating habit. Methods: A total of 734 consumers who have ever purchased fruit participated in this study. Results: Results of this study showed that attitudes toward fruit intake, social norms, and perceived behavioral control had significant impacts on the level of fruit intake. Fruit eating habit that showed high correlation with eating behavior was also included in the model identifying factors having an influence on fruit intake. Attitudes toward fruit intake, social norms, and perceived behavioral control had a positive influence on intention to intake fruit. Fruit eating habits played a moderating role in the relationships between intention to intake fruit and real fruit intake. Conclusion: Increasing positive attitudes toward fruit intake, social norms, and perceived behavioral control would be helpful in increasing the amount of fruit intake.

키워드

참고문헌

  1. Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2010: Korea National Health and Nutrition Examination Survey (KNHANES V-1). Cheongwon: Korea Centers for Disease Control and Prevention;2011.
  2. Kwon JH, Shim JE, Park MK, Paik HY. Evaluation of fruits and vegetables intake for prevention of chronic disease in Korean adults aged 30 years and over: using the Third Korea National Health and Nutrition Examination Survey (KNHANES III), 2005. Korean J Nutr 2009; 42(2): 146-157. https://doi.org/10.4163/kjn.2009.42.2.146
  3. Food and Agriculture Organization (US); World Health Organization. Fruit and vegetable for health: report of a joint FAO/ WHO workshop, 1-3 September 2004, Kobe, Japan. Geneva: World Health Organization; 2004.
  4. Carter P, Gray LJ, Troughton J, Khunti K, Davies MJ. Fruit and vegetable intake and incidence of type 2 diabetes mellitus: systematic review and meta-analysis. BMJ 2010; 341: c4229. https://doi.org/10.1136/bmj.c4229
  5. Ford ES, Mokdad AH. Fruit and vegetable consumption and diabetes mellitus incidence among U.S. adults. Prev Med 2001; 32 (1): 33-39. https://doi.org/10.1006/pmed.2000.0772
  6. Appel LJ, Champagne CM, Harsha DW, Cooper LS, Obarzanek E, Elmer PJ, Stevens VJ, Vollmer WM, Lin PH, Svetkey LP, Stedman SW, Young DR; Writing Group of the PREMIER Collaborative Research Group. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003; 289(16): 2083-2093.
  7. Utsugi MT, Ohkubo T, Kikuya M, Kurimoto A, Sato RI, Suzuki K, Metoki H, Hara A, Tsubono Y, Imai Y. Fruit and vegetable consumption and the risk of hypertension determined by self measurement of blood pressure at home: the Ohasama study. Hypertens Res 2008; 31(7): 1435-1443. https://doi.org/10.1291/hypres.31.1435
  8. Buijsse B, Feskens EJ, Schulze MB, Forouhi NG, Wareham NJ, Sharp S, Palli D, Tognon G, Halkjaer J, Tjonneland A, Jakobsen MU, Overvad K, van der A DL, Du H, Sorensen TI, Boeing H. Fruit and vegetable intakes and subsequent changes in body weight in European populations: results from the project on Diet, Obesity, and Genes (DiOGenes). Am J Clin Nutr 2009; 90(1): 202-209. https://doi.org/10.3945/ajcn.2008.27394
  9. Epstein LH, Gordy CC, Raynor HA, Beddome M, Kilanowski CK, Paluch R. Increasing fruit and vegetable intake and decreasing fat and sugar intake in families at risk for childhood obesity. Obes Res 2001; 9(3): 171-178. https://doi.org/10.1038/oby.2001.18
  10. Dauchet L, Amouyel P, Hercberg S, Dallongeville J. Fruit and vegetable consumption and risk of coronary heart disease: a meta- analysis of cohort studies. J Nutr 2006; 136(10): 2588-2593. https://doi.org/10.1093/jn/136.10.2588
  11. Nikolic M, Nikic D, Petrovic B. Fruit and vegetable intake and the risk for developing coronary heart disease. Cent Eur J Public Health 2008; 16(1): 17-20.
  12. Bazzano LA, He J, Ogden LG, Loria CM, Vupputuri S, Myers L, Whelton PK. Fruit and vegetable intake and risk of cardiovascular disease in US adults: the first National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. Am J Clin Nutr 2002; 76(1): 93-99.
  13. Boggs DA, Palmer JR, Wise LA, Spiegelman D, Stampfer MJ, Adams-Campbell LL, Rosenberg L. Fruit and vegetable intake in relation to risk of breast cancer in the Black Women's Health Study. Am J Epidemiol 2010; 172(11): 1268-1279. https://doi.org/10.1093/aje/kwq293
  14. Freedman ND, Park Y, Subar AF, Hollenbeck AR, Leitzmann MF, Schatzkin A, Abnet CC. Fruit and vegetable intake and head and neck cancer risk in a large United States prospective cohort study. Int J Cancer 2008; 122(10): 2330-2336.
  15. Millen AE, Subar AF, Graubard BI, Peters U, Hayes RB, Weissfeld JL, Yokochi LA, Ziegler RG; PLCO Cancer Screening Trial Project Team. Fruit and vegetable intake and prevalence of colorectal adenoma in a cancer screening trial. Am J Clin Nutr 2007; 86(6): 1754-1764.
  16. Johnston KL, White KM. Binge-drinking: A test of the role of group norms in the Theory of Planned Behaviour. Psychol Health 2003; 18(1): 63-77. https://doi.org/10.1080/0887044021000037835
  17. Tuu HH, Olsen SO, Thao DT, Anh NT. The role of norms in explaining attitudes, intention and consumption of a common food (fish) in Vietnam. Appetite 2008; 51(3): 546-551. https://doi.org/10.1016/j.appet.2008.04.007
  18. Rhodes RE, De Bruijn GJ. Automatic and motivational correlates of physical activity: does intensity moderate the relationship? Behav Med 2010; 36(2): 44-52. https://doi.org/10.1080/08964281003774901
  19. Godin G, Amireault S, Bellanger-Gravel A, Vohl MC, Pelrusse L, Guillaumie L. Prediction of daily fruit and vegetable consumption among overweight and obese individuals. Appetite 2010; 54 (3): 480-484. https://doi.org/10.1016/j.appet.2010.01.018
  20. Guillaumie L, Godin G, Vézina-Im LA. Psychosocial determinants of fruit and vegetable intake in adult population: a systematic review. Int J Behav Nutr Phys Act 2010; 7: 12. https://doi.org/10.1186/1479-5868-7-12
  21. Zoellner J, Krzeski E, Harden S, Cook E, Allen K, Estabrooks PA. Qualitative application of the theory of planned behavior to understand beverage consumption behaviors among adults. J Acad Nutr Diet 2012; 112(11): 1774-1784. https://doi.org/10.1016/j.jand.2012.06.368
  22. Chen MF. Consumer attitudes and purchase intentions in relation to organic foods in Taiwan: Moderating effects of food-related personality traits. Food Qual Prefer 2007; 18(7): 1008-1021. https://doi.org/10.1016/j.foodqual.2007.04.004
  23. De Bruijn GJ, Kremers SPJ, De Vet EE, De Nooijer J, Van Mechelen W, Brug, J. Does habit strength moderate the intention-behaviour relationship in the Theory of Planned Behaviour? The case of fruit consumption. Psychol Health 2007; 22(8): 899-916. https://doi.org/10.1080/14768320601176113
  24. Arvola A, Vassallo M, Dean M, Lampila P, Saba A, Lähteenmäki L, Shepherd R. Predicting intentions to purchase organic food: the role of affective and moral attitudes in the Theory of Planned Behaviour. Appetite 2008; 50(2-3): 443-454. https://doi.org/10.1016/j.appet.2007.09.010
  25. Latimer AE, Martin Ginis KA. The importance of subjective norms for people who care what others think of them. Psychol Health 2005; 20(1): 53-62. https://doi.org/10.1080/08870440412331300002
  26. Manstead AS, van Eekelen SA. Distinguishing between perceived behavioral control and self-efficacy in the domain of academic achievement intentions and behaviors. J Appl Soc Psychol 1998; 28(15): 1375-1392. https://doi.org/10.1111/j.1559-1816.1998.tb01682.x
  27. Povey R, Conner M, Sparks P, James R, Shepherd R. Application of the theory of planned behaviour to two dietary behaviours: roles of perceived control and self-efficacy. Br J Health Psychol 2000; 5(2): 121-139.
  28. Sparks P, Guthrie CA, Shepherd R. The dimensional structure of the perceived behavioral control construct. J Appl Soc Psychol 1997; 27(5): 418-438. https://doi.org/10.1111/j.1559-1816.1997.tb00639.x
  29. Aarts H, Paulussen T, Schaalma H. Physical exercise habit: on the conceptualization and formation of habitual health behaviours. Health Educ Res 1997; 12(3): 363-374. https://doi.org/10.1093/her/12.3.363
  30. Bamberg S, Ajzen I, Schmidt P. Choice of travel mode in the theory of planned behavior: The roles of past behavior, habit, and reasoned action. Basic Appl Soc Psych 2003; 25(3): 175-187. https://doi.org/10.1207/S15324834BASP2503_01
  31. Brug J, De Vet E, De Nooijer J, Verplanken B. Predicting fruit consumption: cognitions, intention, and habits. J Nutr Educ Behav 2006; 38(2): 73-81. https://doi.org/10.1016/j.jneb.2005.11.027
  32. Reinaerts E, De Nooijer J, Candel M, De Vries N. Explaining school children's fruit and vegetable consumption: the contributions of availability, accessibility, exposure, parental consumption and habit in addition to psychosocial factors. Appetite 2007; 48(2): 248-258. https://doi.org/10.1016/j.appet.2006.09.007
  33. Kothe EJ, Mullan BA, Butow P. Promoting fruit and vegetable consumption. Testing an intervention based on the theory of planned behaviour. Appetite 2012; 58(3): 997-1004. https://doi.org/10.1016/j.appet.2012.02.012
  34. Sjoberg S, Kim K, Reicks M. Applying the theory of planned behavior to fruit and vegetable consumption by older adults. J Nutr Elder 2004; 23(4): 35-46. https://doi.org/10.1300/J052v23n04_03
  35. Cha MH, Kim YK. Consumers' purchasing intentions of organic foods in relation to the perceived health concerns, healthy eating practices and attitudes, and food choice motives. Korean J Community Nutr 2009; 14(3): 286-294.
  36. Verplanken B, Orbell S. Reflections on past behavior: a self-report index of habit strength. J Appl Soc Psychol 2003; 33(6): 1313-1330. https://doi.org/10.1111/j.1559-1816.2003.tb01951.x
  37. De Bruijn GJ. Understanding college students' fruit consumption. Integrating habit strength in the theory of planned behaviour. Appetite 2010; 54(1): 16-22. https://doi.org/10.1016/j.appet.2009.08.007
  38. Ahn Y, Kim KW. Beliefs regarding vegetable consumption, selfefficacy and eating behaviors according to the stages of change in vegetable consumption among college students. Korean J Community Nutr 2012; 17(1): 1-13. https://doi.org/10.5720/kjcn.2012.17.1.1
  39. Emanuel AS, McCully SN, Gallagher KM, Updegraff JA. Theory of planned behavior explains gender difference in fruit and vegetable consumption. Appetite 2012; 59(3): 693-697. https://doi.org/10.1016/j.appet.2012.08.007

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