본문 바로가기
KERD
논문

Elastic Net 회귀분석을 통한 한국 성인의 PTSD 증상 예측 사건 탐색

Exploring Predictive Events for PTSD Symptoms of Korean Adults with Elastic Net Regression Analysis

0

조회

0

다운로드

0

인용

0

참고문헌

키워드

주제분류심리과학

초록

본 연구는 한국 성인의 PTSD 증상을 예측하는 사건(DSM-5 진단기준사건(직접경험), DSM-5 비진단기준 사건(직접경험), 간접경험 사건)을 확인하고자 수행되었다. 이를 위해 국내 성인 1,136명의 자료를 기계학습 기법인 Elastic Net 회귀분석을 통해 분석하였다. 본 연구에서는 DSM-5 진단기준사건(직접경험) 19개, DSM-5 비진단기준사건(직접경험) 17개, 간접경험사건 19개, 총 55개의 사건 경험 여부를 PTSD 증상에 대한 독립변수로 투입하였다. 연구 결과, DSM-5 진단기준사건(직접경험) 6개, DSM-5 비진단기준사건(직접경험) 9개, 간접경험사건 4개, 총 19개의 사건이 PTSD 증상을 예측하는 것으로 나타났다. 본 연구의 결과는 DSM-5 진단기준사건(직접경험)뿐만 아니라 DSM-5 비진단기준사건(직접경험)과 간접경험 사건이 PTSD 증상을 예측할 수 있음을 확인하였다는 것에 의의가 있다.

Abstract

This study aimed to identify events that predict PTSD symptoms in Korean adults, including DSM-5 diagnostic criteria events(direct experience events), DSM-5 non-diagnostic criteria events(direct experience), and indirect experience events. Data from 1,136 Korean adults were analyzed using the machine learning technique of Elastic Net regression analysis. In this study, a total of 55 events were included as independent variables for PTSD symptoms: 19 DSM-5 diagnostic criteria events(direct experience), 17 DSM-5 non-diagnostic criteria events(direct experience), and 19 indirect experience events. The results showed that 19 events predicted PTSD symptoms, including 6 DSM-5 diagnostic criteria events(direct experience), 9 DSM-5 non-diagnostic criteria events(direct experience), and 4 indirect experience events. The significance of this study lies in confirming that not only DSM-5 diagnostic criteria events(direct experience) but also DSM-5 non-diagnostic criteria events(direct experience) and indirect experience events can predict PTSD symptoms.

참고문헌 (77)

  1. Anders, S. L., "Variations in criterion A and PTSD rates in a community sample of women. ?", Journal of Anxiety Disorders, 25(2), pp.176~184 (2011)[DOI]
  2. American Psychiatric Association., "Diagnostic and statistical manual of mental disorders" (1980)
  3. American Psychiatric Association., "Diagnostic and Statistical Manual of Mental Disorders" (2000)
  4. American Psychiatric Association., "Diagnostic and statistical manual of mental disorders" (2013)
  5. Baschnagel, J. S., "Post-trauma symptoms following indirect exposure to the September 11th terrorist attacks : The predictive role of dispositional coping", Journal of Anxiety Disorders, 23(7), pp.915~922 (2009)[DOI]
  6. Benjet, C., "The epidemiology of traumatic event exposure worldwide : Results from the World Mental Health Survey Consortium", Psychological Medicine, 46(2), pp.327~343 (2016)[DOI]
  7. Bistricky, S. L., "Frequency of interpersonal trauma types, avoidant attachment, self-compassion, and interpersonal competence: A model of persisting posttraumatic symptoms", Journal of Aggression, Maltreatment and Trauma, 26(6), pp.608~625 (2017)[DOI]
  8. Boals, A., "PTSD symptoms in response to traumatic and non-traumatic events : The role of respondent perception and A2 criterion", Journal of anxiety disorders, 23(4), pp.458~462 (2009)[DOI]
  9. Boals, A., "PTSD symptoms in response to traumatic and non-traumatic events : The role of respondent perception and A2 criterion", Journal of anxiety disorders, 23(4), pp.458~462 (2009)[DOI]
  10. Bzdok, D., "Machine learning : supervised methods", Nature methods, 15(1), pp.5~ (2018)[DOI]
  11. Carlson, E. B., "A conceptual framework for the impact of traumatic experiences", Trauma, violence, &abuse, 1(1), pp.4~28 (2000)[DOI]
  12. Choi, K. R., "Reliability and validity of the Korean version of the revised Lifelong Stress Event Checklist: Outpatients with Anxiety Disorders and Depressive Disorders", Doctor, pp.2015
  13. Conrad, D., "Does trauma event type matter in the assessment of traumatic load?", European Journal of Psychotraumatology, 8(1), pp.1344079~ (2017)[DOI]
  14. Ehring, T., "Emotion regulation difficulties in trauma survivors : The role of trauma type and PTSD symptom severity", Behavior therapy, 41(4), pp.587~598 (2010)[DOI]
  15. Elhai, J. D., "The missing link : A call for more rigorous PTSD assessment procedures", Clinical Psychology : Science and Practice, 19(3), pp.276~ (2012)[DOI]
  16. Forbes, D., "Trauma at the hands of another : Longitudinal study of differences in the posttraumatic stress disorder symptom profile following interpersonal compared with noninterpersonal trauma", The Journal of Clinical Psychiatry, 73(3), pp.372~376 (2012)[DOI]
  17. Frazier, P., "Traumatic events among undergraduate students : Prevalence and associated symptoms", Journal of Counseling Psychology, 56(3), pp.450~460 (2009)[DOI]
  18. Freyd, J. J., "The encyclopedia of psychological trauma" (2008), John Wiley & Sons
  19. "Lasso and elastic-net regularized generalized linear models" (2021)[URL]
  20. Friedman, M. J., "Considering PTSD for DSM-5", Depression and Anxiety, 28, pp.750~769 (2011)[DOI]
  21. Fusar-Poli, P., "The science of prognosis in psychiatry : a review", JAMA psychiatry, 75(12), pp.1289~1297 (2018)[DOI]
  22. Gold, S. D., "Is life stress more traumatic than traumatic stress?", Journal of anxiety disorders, 19(6), pp.687~698 (2005)[DOI]
  23. Gray, M. J., "Psychometric properties of the life events checklist", Assessment, 11(4), pp.330~341 (2004)[DOI]
  24. Han J., "Data Mining: Concepts and Techniques: Vol. 3" (2011), Morgan Kaufmann
  25. "An Introduction to glmnet" (2021)[URL]
  26. Hastie, T, "The elements of statistical learning: data mining, inference, and prediction (Vol. 2)", pp.1~758 (2009), springer
  27. Holman, E. A., "Health status and health care utilization following collective trauma : a 3-year national study of the 9", 11 terrorist attacks in the United States, 2011, pp.73(4), 483~490
  28. James, G., "An introduction to statistical learning:with applications in R. Spinger" (2013)
  29. Jung, Y. J., "A Study on Predictive Models based on the Machine Learning for Evaluating the Extent of Hazardous Zone of Explosive Gases", Korean Chemical Engineering Research, 58(2), pp.248~256 (2020)[DOI]
  30. Kaelbling, L. P., "Reinforcement learning : A survey", Journal of artificial intelligence research, 4, pp.237~285 (1996)[DOI]
  31. Kaltman, S., "Trauma and bereavement : : Examining the impact of sudden and violent deaths", Journal of anxiety disorders, 17(2), pp.131~147 (2003)[DOI]
  32. Kim, J. Y., "PTSD A Study on Trauma Experiences among Korean Adults based on Conditional probability of PTSD symptoms", Korean Journal of Culture and Social Issues, 24(3), pp.365~383 (2018)[DOI]
  33. Kim, Y. K., "Exploring Predictive Factors for Self-Directed Learning Ability of High School Students with Elastic Net Regression Analysis", Korean Education Inquiry, 40(2), pp.83~109 (2022)[DOI]
  34. Kolassa, I. T., "Spontaneous remission from PTSD depends on the number of traumatic event types experienced", Psychological Trauma: Theory, Research, Practice, and Policy, 2(3), pp.169~ (2010)[DOI]
  35. "caret: Classification and regression training" (2021)[URL]
  36. Kwon, S. B., "Exploring Variables Relating to Teacher Job Satisfaction via Elastic Net", The Journal of Yeolin Education, 27(3), pp.1~23 (2019)[DOI]
  37. Lancaster, S. L., "An examination of the differential effects of the experience of DSM-IV defined traumatic events and life stressors", Journal of Anxiety Disorders, 23(5), pp.711~717 (2009)[DOI]
  38. "“생머리 여성에 심장 벌렁”…되레 시간 지난후 덮쳐온 충격" (2022)[URL]
  39. Lee, D. H., "PTSD symptoms, Psychological Distress, and Emotion Regulation Difficulties based on DSM Criterion and Trauma", The Korean Journal of Counseling and Psychotherapy, 30(3), pp.741~773 (2018)[DOI]
  40. The Effects of Traumatic Event and Cognitive Emotion Regulation Strategies on Post-traumatic Stress Disorder and Post-traumatic Growth, "Lee, S. L", Humanities Research Institute, 93~124 (2015)
  41. Lee, J. A., "Explorationof Predictorsto Teacher Efficacy via Elastic Net", Asian Journal of Education, 20(1), pp.149~172 (2019)[DOI]
  42. Lim, J. S., "Moderating Effects of Ego-Resilience, Social Support on the Relationship between Secondary Traumatic Stress and Job Satisfaction among Mental Health Social Workers", Mental Health &Social Work, 42(1), pp.31~60 (2014)
  43. Luz, M. P., "Conditional risk for posttraumatic stress disorder in an epidemiological study of a Brazilian urban population", Journal of psychiatric research, 72, pp.51~57 (2016)[DOI]
  44. McGinnis, R. S., "Rapid anxiety and depression diagnosis in young children enabled by wearable sensors and machine learning", 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.3983~3986 (2018)
  45. McNally, R. J., "Progress and controversy in the study of posttraumatic stress disorder", Annual review of psychology, 54(1), pp.229~252 (2003)[DOI]
  46. McNally, R. J., "Remembering trauma" (2003), Belknap Press
  47. Messman-Moore, T. L., "Emotion dysregulation and risky sexual behavior in revictimization", Child Abuse and Neglect, 34(12), pp.967~976 (2010)[DOI]
  48. "이태원 참사 의료비지원 대상자-12월 10일 기준, 381명" (2022)[URL]
  49. Mitchell, T. M, "Machine Learning" (1997), McGraw Hill
  50. Mol, S. S., "Symptoms of posttraumatic stress disorder after non-traumatic events : Evidence from an open population study", The British Journal of Psychiatry, 186(6), pp.494~499 (2005)[DOI]
  51. "기난동 영상 무분별확산…‘불안’ 더 키웠다" (2023)[URL]
  52. Mun, J. Y., "Using Penalized Regression Models to Select Variables Influencing Private Tutoring Expenditure", The Journal of Korean Education, 45(1), pp.111~137 (2018)[DOI]
  53. Netland, M., "Event-list construction and treatment of exposure data in research on political violence", Journal of Traumatic Stress, 18, pp.507~517 (2005)[DOI]
  54. Neuner, F., "Psychological trauma and evidence for enhanced vulnerability for posttraumatic stress disorder through previous trauma among West Nile refugees", BMC psychiatry, 4(1), pp.1~7 (2004)[DOI]
  55. Park, J. E., "Workbook for Assessment in Disaster Behavioral Health" (2016), Korean Academy of Anxiety and Mood
  56. Park, S. Y., "Exploring Key Variables Affecting Smartphone Dependency of Elementary School Students:An Application of Penalized Regression Model", Asian Journal of Education (2022)[DOI]
  57. Peltzer, K., "Secondary trauma and job burnout and associated factors among HIV lay counsellors in Nkangala district, South Africa", British Journal of Guidance & Counselling, 42, pp.410~422 (2014)[DOI]
  58. Robinson, J. S., "Are traumatic events necessary to elicit symptoms of posttraumatic stress?", Psychological Trauma:Theory, Research, Practice, and Policy, 2(2), pp.71~ (2010)[DOI]
  59. Rosen, G. M., "Posttraumatic stress disorder : An empirical evaluation of core assumptions", Clinical Psychology Review, 28(5), pp.837~868 (2008)[DOI]
  60. Rumball, F., "Experience of trauma and PTSD symptoms in autistic adults : risk of PTSD development following DSM-5 and non-DSM-5traumatic life events", Autism Research, 13(12), pp.2122~2132 (2020)[DOI]
  61. Sarker, I. H., "Machine learning : Algorithms, real-world applications and research directions", SN computer science, 2(3), pp.160~ (2021)[DOI]
  62. Sarker, I. H., "Cybersecurity data science : an overview from machine learning perspective", Journal of Big data, 7, pp.1~29 (2020)[DOI]
  63. Saylor, C. F., "Media exposure to September 11 : Elementary school students’ experiences and posttraumatic symptoms", American Behavioral Scientist, 46, pp.1622~1642 (2003)[DOI]
  64. Schlenger, W. E., "Psychological reactions to terrorist attacks : findings from the National Study of Americans’ Reactions to September 11", Jama, 288(5), pp.581~588 (2002)[DOI]
  65. Tibshirani, R., "Regression shrinkage and selection via the lasso", Journal of the Royal Statistical Society : Series B(Methodological), 58(1), pp.267~288 (1996)[DOI]
  66. "The PTSD Checklist for DSM-5(PCL-5). Scale available from the National Center for PTSD" (2013)[URL]
  67. Weathers, F. W., "The criterion A problem revisited : Controversies and challenges in defining and measuring psychological trauma", Journal of Traumatic Stress, 20(2), pp.107~121 (2007)[DOI]
  68. Weathers, F. W., "The PTSD Checklist (PCL): Reliability, Validity, and Diagnostic Utility", Annual Convention of the International Society for Traumatic Stress Studies (1993)
  69. Wilker, S., "How to quantify exposure to traumatic stress? reliability and predictive validity of measures for cumulative trauma exposure in a post-conflict population", European Journal of Psychotraumatology, 6, pp.28306~ (2015)[DOI]
  70. Willard, V. W., "Life stress versus traumatic stress: The impact of life events on psychological functioning in children with and without serious illness", Psychological Trauma: Theory, Research, Practice, and Policy, 8(1), pp.63~ (2016)[DOI]
  71. Yarkoni, T., "Choosing prediction over explanation in psychology : Lessons from machine learning", Perspectives on Psychological Science, 12(6), pp.1100~1122 (2017)[DOI]
  72. Yehuda, R., "Post-traumatic stress disorder", New England Journal of Medicine, 346(2), pp.108~114 (2002)[DOI]
  73. Yoo, J. E., "An Analysis Case of Educational Panel Data through a Data Mining Technique : A Penalized Regression with KYPS Data", Asian Journal of Education, 17(3), pp.1~19 (2016)[DOI]
  74. Yoo, J. E., "Machine Learning for Large-scale", Panel Data and Learning Analytics Data Analysis, 2019, pp.35(2), 313~338
  75. Yoo, J. E., "Predictive Modeling of Students’ Creativity via Elastic Net", The SNU Journal of Education Research, 27(3), pp.185~205 (2018)
  76. Zou, H., "Regularization and variable selection via the elastic net", Journal of the royal statistical society : series B(statistical methodology), 67(2), pp.301~320 (2005)[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (2건)