Korean Journal of Health Education and Promotion (보건교육건강증진학회지)

Korean Society for Health Education and Promotion (한국보건교육건강증진학회)
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Internet Users' Intention to Participate in Preventive Program of Depression

일부 인터넷 이용자의 우울수준에 따른 우울증 예방프로그램 참여의도에 영향을 미치는 요인

  • Jo, S.J. (Dept. of Preventive Medicine, College of Medicine, the Catholic University of Korea) ;
  • Yim, H.W. (Dept. of Preventive Medicine, College of Medicine, the Catholic University of Korea) ;
  • Park, Y.M. (Dept. of Preventive Medicine, College of Medicine, the Catholic University of Korea) ;
  • Lee, W.C. (Dept. of Preventive Medicine, College of Medicine, the Catholic University of Korea) ;
  • Kim, Y.B. (Dept. of Hospital Service Administration, Seonam University)
  • 조선진 (가톨릭대학교 의과대학 예방의학교실) ;
  • 임현우 (가톨릭대학교 의과대학 예방의학교실) ;
  • 박용문 (가톨릭대학교 의과대학 예방의학교실) ;
  • 이원철 (가톨릭대학교 의과대학 예방의학교실) ;
  • 김영복 (서남대학교 병원행정학과)
  • Published : 2007.03.30
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Abstract

Objctives: This study purposed to examine the intention to participate in the preventive program of depression of Internet user and to offer the baseline data for development of mental health promotion program. Methods: The internet survey was performed using a self-reported questionnaire on intention to participate in the preventive program of depression, depressive symptom(with Zung's SDS) and so forth from 1,000 internet user (aged $13{\sim}49$ years) via two web sites at Feb($1st{\sim}10th$), 2006. We analyzed the intention to participate in preventive program of depression and the factors related with that intention by depressive level. Results: In the normal group, the intention to participate in a preventive program of depression was influenced significantly by counselling experience(s) on depression(p<.001), and perceived control(p<.001) over the barriers to participation in the preventive program of depression, and marginally by gender. In the depressive group, the smoking habit revealed marginal effect(p=.051) and perceived control over the barriers to participation in the preventive program of depression influenced on that intention significantly(p<.001). Conclusion: Among internet users, especially the solutions of barriers to participate in the preventive program of depression is more important at the intervention program for prevention of depression. In the normal group, we need to consider the use of messages tailored by counselling experience(s) on depression. Some intervention program dealing with two subjects, smoking cessation and prevention of depression concurrently, will be appropriate for the depressive group.

Keywords

References

  1. 곽은주, 송인순 외 2인. 도시지역 일부 고등학생들의 우울과 불안에 관한 조사 연구. 보건교육. 건강증진학회지 2003;20(2):63-79
  2. 국립서울정신병원, 정신질환실태 역학조사. 보건복지부용역과제. 2001
  3. 김소야자, 권인숙. 인터넷 탐색과 비디오 시청에 따른 고등학생의 금연교육 효과. 간호학탐구 2000;9(1):118-143
  4. 김영복, 하은희 외 2인. 대학생의 건강증진 프로그램 참여의사에 영향을 미치는 주요 요인에 관한 연구. 보건교육 . 건강증진학회지 2001;18(1): 1-15
  5. 김혜경. 효과적 건강상담을 위한 제 보건행동이론의 활용방안에 대한 연구. 보건교육건강증진학회지. 2002;19(1): 149-170
  6. 민영숙. 청소년의 약물남용예방을 위한 웹활용 학습 프로그램 개발 및 효과[박사학위 논문] 서울: 연세대학교 대학원, 1999
  7. 보건복지부. 2001년도 국민건강. 영양조사-보건의식행태편-. 한국보건사회연구원, 보건복지부. 2002
  8. 성미혜. 중년 여성의 자아개념과 우울과의 관계. 보건교육. 건강증진학회지 2002;19(1):171-184
  9. 송옥헌. 정신과 외래 환자의 The Self-Rating Depression Scale(SDS)에 관한 연구. 신경정신의학 1977;16(1):84-94
  10. 신호철, 김철환 외 5인. Zung's Self - Rating Depression Scale(SDS)의 타당성 - 가정의학과 외래를 방문한 만성 질환 환자를 중심으로 -. 가정의학회지 2000;21(10): 1317-1329
  11. 정보통신부. 2004년 상반기 정보화실태조사. 서울: 정보통신부. 2004
  12. 정보통신정책연구원. 유무선 인터넷 이용자 성향분석. 서울: 정보통신부. 2004
  13. 정보통신정책연구원. 인터넷 일상화의 변화추이 분석. 서울: 정보통신부. 2006
  14. 조맹제, 이준영. 우울중의 역학. 대한의사협회지 772-782
  15. 조선진. 인터넷을 활용한 자궁경부암 조기검진 수검증진 프로그램 개발 및 효과평가[박사학위 논문]. 서울: 가톨릭대학교 대학원,2003
  16. 통계청. 사망원인통계연보. 2005
  17. 한국인터넷진흥원. 2005 정보화실태조사. 2005
  18. 한국인터넷진흥원. 2006 상반기 정보화실태 조사 요약보고서. 2006
  19. 한홍무, 염태호 외 4인. Beck Depression Inventory의 한국판 표준화 연구. 신경정신의학 1986;25(3):487-502
  20. 홍대식 편역, 현대심리학개론. 박영사: 서울, 2001
  21. Ajzen, I. The Theory of Plaaned Behavior. Organizational Behavior and Human Decision Processes, 1991
  22. Alamar B, Glantz SA. Effect of increased social unacceptability of cigarette smoking on reduction in cigarette consumption. American Journal of Public Health 2006; 96(8):1359-1363 https://doi.org/10.2105/AJPH.2005.069617
  23. Ann B. Measuring health. A review of quality of life measurement scales. 2nd Ed. Philadelphia: Open University Press 1997
  24. Bandura A. Social foundations of thought and action. Englewood Cliffs, N. J.: PrenticeHall 1986
  25. Bartholomew LK, Parcel GS et al. Intervention mappping: Designing theory and evidence based health promotion programs. Mountain View, Calif.: Mayfield 2001
  26. Beck AT. An inventory of measuring depression. Arch Gen Psychiatry 1961;4: 5612-57l
  27. Bernhardt AM, Dalton MA et al. E-mail communication between medical students and schoolchildren: a model for medical education. Pediatrics & Adolescent Medicine 2000;154(12):1258-1262 https://doi.org/10.1001/archpedi.154.12.1258
  28. Calnan M. Patterns in preventive behavior: a study of women in middle age. Social Science Medicine 1985;20(3):263-268 https://doi.org/10.1016/0277-9536(85)90240-0
  29. Cassem EH. Depressive disorders in the medically ill. An overview. Psychosomatics 1995;36(2):S2-10 https://doi.org/10.1016/S0033-3182(95)71698-X
  30. Centers for Disease Control and Prevention. Health objectives for the nation cigarette smoking among adults-United States, 1993. MMWR Morb Mortal Wkly Rep 1994:43(50) :925- 30
  31. Cho MJ. Development of the Korean version of diagnostic instruments and epidemiological studies for major psychiatric disorders. Seoul: Ministry of Health & Welfare 2001
  32. Commonwealth of Australia. National Action Plan for Depression.. Commonwealth Department of Health and Aged Care, Canberra 2000
  33. Godin G, Valois P, LaPage I. The pattern of influence of perceived behavioral control upon exercising behavior: an application of Aizen's theory of planned behavior. Journal of Behavioral Medicine 1993;16: 81-102 https://doi.org/10.1007/BF00844756
  34. Green L W, Kreuter MW. Health promotion planning: an educational and environmental approach. (3rd ed.) Mountain View, Calif.: Mayfield 1999
  35. Grossman M. The demand for health: a theoretical and empirical investigation. New York, Columbia University Press 1972
  36. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry 1960;23:5962
  37. Hathaway S. MCKinley. Minnesota Multiphasic Personality Inventory. New York: Psychological Corporation 1951
  38. Hirofumi O, Junichi K et al. Community-based prevention for suicide in elderly by depression screening and follow-up
  39. Lee CK, K wak YS et al. Psychiatric epidemiology in Korea, Part II: Urban and rural differences. J of Merv Ment Dis 1990;178(4):247-252 https://doi.org/10.1097/00005053-199004000-00005
  40. Moos RH, Mertens JR. Patterns of diagnosis, comorbidities, and treatment in late- middle-aged and older affective disorder patients: comparison of mental health and medical sectors. J Am Geriatr Soc 1996; 44(6):682-688 https://doi.org/10.1111/j.1532-5415.1996.tb01832.x
  41. Prochaska JO, DiClemente CC. Stage and processes of self-change of smoking: toward an integrative model of change. J of Consulting and Clinical Psychology 1983;51:390-395 https://doi.org/10.1037/0022-006X.51.3.390
  42. Radloff LS. The CES-D scale: A self-report depression for research in the general population. Applied Psychological Measurement 1977;1:385-40l https://doi.org/10.1177/014662167700100306
  43. Rosenstock IM. The health belief model: explaining health behavior through expectancies, In Glanz K, Rimer BK, Sewis FM(eds.), Health behavior and health education. San Francisco, CA: Jossey-Bass, Inc., Publisher 1990
  44. Weissman MM, Leaf PJ et al. Affective disorders in five United States communities. Psychological Medicine 1988; 18(1):141-153 https://doi.org/10.1017/S0033291700001975
  45. WHO, IASO, IOTF. The Asia-Pacific perspective: Redefining obesity and its treatment. Health Communication Australia. Pty Ltd
  46. WHO. Burden of mental and behavioral disorders, in World Health Report. Geneva: World Health Organization, 2001; 19-46
  47. Yesavage JA, Brink TL et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatry Res 1983;17:37-49
  48. Zung WWK. A Self-rating Depression Scale. Arch Gen Psychiatry 1965;12:63-70 https://doi.org/10.1001/archpsyc.1965.01720310065008