Analysis of Posts on Social Network Service Related to Panic Disorder Using Text Mining
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
Panic attacks have different clinical characteristics among individuals and countries. This study aimed to identifiy clinical characteristics of panic attacks. We collected 8,728 Twitter posts related to panic disorder from January 1 to December 4, 2020 and analyzed crucial and simultaneous emergence keywords. Term frequency, term frequency inverse document frequency, degree centrality, and N-gram analyses were conducted using RStudio and TEXTOM. We also classfied results of Term frequency for panic disorder into physical symptoms, triggers, occurrence time, occurrence place, mood, mentioned pathology, mentioned person, and coping methods. Depression, drugs, respiration, and stress were keywords related to panic disorder. Hyperventilation, palpitations, and shaking were common physical symptoms. Highly ranked triggering situations were stress, sound, trauma, and coffee. Drugs and hospitals ranked high as coping methods. These results clarify various aspects of panic attacks and provide a basis for identifying the characteristic clinical aspects of panic disorders among Koreans.
Abstract
Panic attacks have different clinical characteristics among individuals and countries. This study aimed to identifiy clinical characteristics of panic attacks. We collected 8,728 Twitter posts related to panic disorder from January 1 to December 4, 2020 and analyzed crucial and simultaneous emergence keywords. Term frequency, term frequency inverse document frequency, degree centrality, and N-gram analyses were conducted using RStudio and TEXTOM. We also classfied results of Term frequency for panic disorder into physical symptoms, triggers, occurrence time, occurrence place, mood, mentioned pathology, mentioned person, and coping methods. Depression, drugs, respiration, and stress were keywords related to panic disorder. Hyperventilation, palpitations, and shaking were common physical symptoms. Highly ranked triggering situations were stress, sound, trauma, and coffee. Drugs and hospitals ranked high as coping methods. These results clarify various aspects of panic attacks and provide a basis for identifying the characteristic clinical aspects of panic disorders among Koreans.
참고문헌 (72)
- American Psychiatric Association, "Diagnostic and statistical manual of mental disorders" (2013), American Psychiatric Publishing
- Bandelow, B., "Epidemiology of anxiety disorders in the 21st century", Dialogues in Clinical Neuroscience, 17(3), pp.327~ (2015)[DOI]
- Bandelow, B., "Diurnal variation of cortisol in panic disorder", Psychiatry Research, 95(3), pp.245~250 (2000)[DOI]
- Barlow, D. H., "Panic: Psychological perspectives", pp.11~35 (1988), Lawrence Erlbaum Associates, Inc
- Batelaan, N. M., "Evidence-based pharmacotherapy of panic disorder : an update", International Journal of Neuropsychopharmacology, 15(3), pp.403~415 (2012)[DOI]
- Batinić, B., "Life events and social support in a 1-year preceding panic disorder", Psychiatria Danubina, 21(1), pp.33~40 (2009)
- Carr, C. P., "The role of early life stress in adult psychiatric disorders : a systematic review according to childhood trauma subtypes", The Journal of Nervous and Mental Disease, 201(12), pp.1007~1020 (2013)[DOI]
- Carter, M. M., "Factor structure of the Anxiety Sensitivity Index among African American college students", Psychological Assessment, 11(4), pp.525~ (1999)[DOI]
- Chen, J., "Understanding individuals' personal values from social media word use", CSCW '14: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, pp.405~414 (2014)
- Cho, W. Y., "Comparison of the effectiveness between combined therapy and pharmacotherapy for panic disorder", Cognitive Behavior Therapy in Korea, 4(2), pp.73~83 (2004)
- Choi, J. W., "The prediction of corporate bankruptcy using text-mining methodology", Product Rev, 29(1), pp.201~228 (2015)
- Clark, D. M., "A cognitive approach to panic", Behaviour Research and Therapy, 24(4), pp.461~470 (1986)[DOI]
- Cox, B. J., "The symptom structure of panic attacks", Comprehensive Psychiatry, 35(5), pp.349~353 (1994)[DOI]
- Craske, M. G., "Panic disorder : a review of DSM IV panic disorder and proposals for DSM V", Depression and Anxiety, 27(2), pp.93~112 (2010)[DOI]
- Craske, M. G., "Anxiety", Lancet, 388(10063), pp.3048~3059 (2016)[DOI]
- De Jonge, P., "Cross national epidemiology of panic disorder and panic attacks in the world mental health surveys", Depression and Anxiety, 33(12), pp.1155~1177 (2016)[DOI]
- El Aarbaoui, T., "Short-term association between personal exposure to noise and heart rate variability : The RECORD MultiSensor Study", Environmental Pollution, 231(1), pp.703~711 (2017)[DOI]
- Fargamfar, M., "Association between panic attacks and cigarette smoking among psychiatric patients", Journal of Public Health, 28(1), pp.65~69 (2020)[DOI]
- Feldman, R., "Knowledge Discovery in Textual Databases (KDT)", KDD, 95, pp.112~117 (1995)
- Grant, B. F., "The epidemiology of DSM-IV panic disorder and agoraphobia in the United States : results from the National Epidemiologic Survey on Alcohol and Related Conditions", The Journal of Clinical Psychiatry, 67(3), pp.363~374 (2006)
- Guarnaccia, P. J., "The experiences ofAtaques de nervios : Towards an anthropology of emotions in Puerto Rico", Culture, Medicine and Psychiatry, 20(3), pp.343~367 (1996)[DOI]
- He, Q., "Screening for posttraumatic stress disorder using verbal features in self narratives : A text mining approach", Psychiatry Research, 198(3), pp.441~447 (2012)[DOI]
- "National Statistics on Diseases of Interest" (2020)[URL]
- Hearst, M. A., "Untangling text data mining", 37th Annual meeting of the Association for Computational Linguistics, pp.3~10 (1999)
- Hinton, D. E., "The panic attack-posttraumatic stress disorder model : Applicability to orthostatic panic among Cambodian refugees", Cognitive Behaviour Therapy, 37(2), pp.101~116 (2008)[DOI]
- Hoge, E. A., "The role of anxiety sensitivity in sleep disturbance in panic disorder", Journal of Anxiety Disorders, 25(4), pp.536~538 (2011)[DOI]
- KARAPIÇAK, Ö. K., "Health Anxiety in Panic Disorder, Somatization Disorder and Hypochondriasis", Journal of Cognitive-Behavioral Psychotherapy and Research, 1(1), pp.43~51 (2012)
- Karelia, J., "A Study of Phenomenology of Panic Disorder & Assessment of Severity & Comorbidity of Panic Disorder", National Journal of Integrated Research in Medicine, 5(2), pp.46~53 (2014)
- Katzman, M. A., "Canadian clinical practice guidelines for the management of anxiety, posttraumatic stress and obsessive-compulsive disorders", BMC Psychiatry, 14(1), pp.1~83 (2014)[DOI]
- Kim, C. S., "Case studies: abnormal psychology" (2016), Psybooks
- Kim, J. H., "An Essay for Understanding the Meaning of the Network Text Analysis Results in Study of the Public Administration", Institute for Humanities and Social Sciences, 16(4), pp.247~280 (2015)
- Kim, S. S., "Recent trends in autism spectrum disorder research using text mining of PubMed : importance of early detection", Clinical and Experimental Pediatrics, 64(7), pp.339~ (2021)[DOI]
- Kim, S. Y., "Comparison of Depressive Symptoms between Social Anxiety Disorder and Panic Disorder", Korean Journal of Biological Psychiatry, 22(4), pp.216~222 (2015)[DOI]
- Klauke, B., "Life events in panic disorder—an update on"candidate stressors"", Depression and Anxiety, 27(8), pp.716~730 (2010)[DOI]
- "2019 Korea Media Panel Survey" (2019)[URL]
- Kwon, S. M., "Contemporary abnormal psychology" (2013), Hakjisa
- Lee, B. C., "A Study on the Ngram analysis program of Korea Literature Series", Journal of Korean Literature in Classical Chinese, 77, pp.543~570 (2020)
- Lee, H. J., "The Bodily Panic Symptoms and Predisposing Stressors in Korean Patients with Panic Disorder", Journal of Korean Neuropsychiatric Association, 58(4), pp.339~345 (2019)[DOI]
- Lee, J. E., "A Comparison of the Psychological Characteristics of Anxiety Disorder Patients with and without Panic Disorder-Focusing on MMPI and Rorschach Responses", Korean Journal of Clinical Psychology, 28(2), pp.437~458 (2009)[DOI]
- Lee, S., "Building and analyzing panic disorder social media Corpus for automatic deep learning classification model", Journal of the Korean Society for information Management, 38(2), pp.153~172 (2021)[DOI]
- Lee, S. A., "Analysis of developmental disabilities news paver articles using Text mining : Focused on early screening and early intervention", The Journal of Special Children Education, 22(1), pp.1~27 (2020)[DOI]
- Lee, S. R., "Comparison of responses to issues in SNS and Traditional Media using Text Mining-Focusing on the Termination of Korea-Japan General Security of Military Information Agreement(GSOMIA)", Journal of Digital Convergence, 18(2), pp.277~284 (2020)[DOI]
- Lee, S. W., "Clinical Characteristics of Panic Disorder with Comorbid Major Depressive Disorder", Korean Journal of Biological Psychiatry, 25(3), pp.45~52 (2018)[DOI]
- Levy, J. S., "Case studies: Types, designs, and logics of inference", Conflict Management and Peace Science, 25(1), pp.1~18 (2008)
- Ley, R., "The many faces of Pan : psychological and physiological differences among three types of panic attacks", Behaviour Research and Therapy, 30(4), pp.347~357 (1992)[DOI]
- Magalhães, C. L., "Physiological monitoring and biofeedback-assisted relaxation training for panic disorder in a case of complex developmental trauma", Clinical Case Studies, 13(3), pp.231~249 (2014)[DOI]
- Masdrakis, V. G., "Caffeine challenge and breath-holding duration in patients with panic disorder", Progress in Neuro-Psychopharmacology and Biological Psychiatry, 33(1), pp.41~44 (2009)[DOI]
- McCaig, D., "Text mining as a methodology to assess eating disorder relevant factors : Comparing mentions of fitness tracking technology across online communities", International Journal of Eating Disorders, 51(7), pp.647~655 (2018)[DOI]
- McKenna, K. Y., "Relationship formation on the Internet : What’s the big attraction?", Journal of Social Issues, 58(1), pp.9~31 (2002)[DOI]
- Moitra, E., "Impact of stressful life events on the course of panic disorder in adults", Journal of Affective Disorders, 134(1-3), pp.373~376 (2011)[DOI]
- Moscovitch, D. A., "Anger experience and expression across the anxiety disorders", Depression and Anxiety, 25(2), pp.107~113 (2008)[DOI]
- "2019 network personal research" (2019)[URL]
- Nock, M. K., "Risk factors for the transition from suicide ideation to suicide attempt: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)", Journal of Abnormal Psychology, 127(2), pp.139~ (2018)[DOI]
- Norberg, M. M., "Quality of life and anxiety and depressive disorder comorbidity", Journal of Anxiety Disorders, 22(8), pp.1516~1522 (2008)[DOI]
- Olaya, B., "Epidemiology of panic attacks, panic disorder and the moderating role of age : Results from a population-based study", Journal of Affective Disorders, 241, pp.627~633 (2018)[DOI]
- Park, H.S., "Panic Didorder" (2016), Hakjisa
- Pratama, B. Y., "Personality classification based on Twitter text using Naive Bayes, KNN and SVM", 2015 International Conference on Data and Software Engineering (ICoDSE), pp.170~174 (2015)
- Preti, A., "Prevalence and treatment of panic disorder in bipolar disorder : systematic review and meta-analysis", Evidence-based Mental Health, 21(2), pp.53~60 (2018)[DOI]
- Rajaraman, A., "Mining of massive datasets" (2011), Cambridge University Press
- Saberi, M., "Topological impact of negative links on the stability of resting-state brain network", Scientific Reports, 11(1), pp.1~14 (2021)
- Santos, B., "Risk factors for suicidality in patients with panic disorder : a systematic review and meta-analysis", Neuroscience & Biobehavioral Reviews, 105, pp.34~38 (2019)[DOI]
- Scheer, V., "A comprehensive model of predictors of suicide attempt in individuals with panic disorder : Results from a national 3-year prospective study", General Hospital Psychiatry, 67, pp.127~135 (2020)[DOI]
- Singareddy, R., "Nocturnal sleep panic and depression : relationship to subjective sleep in panic disorder", Journal of Affective Disorders, 112(1-3), pp.262~266 (2009)[DOI]
- "2020 Social Survey" (2020)[URL]
- Taylor, E., "The Use of Emotional Freedom Techniques(EFT)In Women with Panic Disorder : A Pilot Study", Energy Psychology, 12(2), pp.12~19 (2020)[DOI]
- "NMHC mental health trends vol.15_2020 Budget related to mental health" (2020)[URL]
- Van den Heuvel, M. P., "Network hubs in the human brain", Trends in Cognitive Sciences, 17(12), pp.683~696 (2013)[DOI]
- Vijayarani, S., "Preprocessing techniques for text mining-an overview", International Journal of Computer Science & Communication Networks, 5(1), pp.7~16 (2015)
- Won, K. R., "Academic stress and suicidal ideation : The mediating effects of school connectedness, depression and anxiety in adolescents", Korean Journal of Youth Studies, 26(9), pp.79~104 (2019)[DOI]
- Yamada, T., "Recovery of percent vital capacity by breathing training in patients with panic disorder and impaired diaphragmatic breathing", Behavior Modification, 41(5), pp.665~682 (2017)[DOI]
- Yun, W. S., "Analysis of the Differences between K-POMS and Mechanical Breathing", The Journal of the Korean Medicine Diagnostics, 20(2), pp.67~75 (2016)
- Zhao, X., "The node influence analysis in social networks based on structural holes and degree centrality", 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 1, pp.708~711 (2017)
