DOI QR코드

DOI QR Code

스마트폰 앱 활용의지가 정신질환자의 생활습관 개선에 미치는 융합적 효과

The Convergence Effect of the Willingness to use Smartphone Application on Therapeutic Lifestyle Change among People with Mental Illness

  • Lee, Kyunghee (College of Nursing, Keimyung University) ;
  • Han, Mihwa (Department of Nursing Science, Sunlin University)
  • 투고 : 2018.04.05
  • 심사 : 2018.07.20
  • 발행 : 2018.07.28

초록

본 연구는 대상자의 스마트폰 활용에 대한 의지와 생각이 생활습관 개선에 어떠한 영향을 미치는가를 규명하기 위해 수행된 융합적 구조모형 연구이다. 연구방법은 2016년 6월부터 9월까지 남자 549명, 여자 357명을 대상으로 구조화된 자가보고식 설문지를 통해 자료 수집하였으며 SPSS 23.0과 AMOS 21.0을 사용하여 분석하였다. 연구결과, 본 연구에서 수정된 가설 모형의 적합도는 Q(${\chi}^2/df$)=3.241, AGFI=0.968, CFI=0.970, RMSEA=0.050(95% CI=0.035, 0.065), SRMR=0.048 이었다. 결과에 따르면, 스마트폰 활용에 대한 생각은 스마트폰 앱 활용 의지에 영향을 주는 것으로 나타났다. 또한 정신과 환자의 스마트폰 앱 활용 의지는 식습관과 생활습관 변화에 영향을 주는 것으로 밝혀졌다. 본 모형 구축 결과는 대사증후군이 있는 정신질환자에게 생활습관 개선 프로그램 적용 시 스마트폰 앱 등 다양한 전달체계를 활용하는 융합적 연구가 필요함을 제시한다.

We aimed to construct and test a structural equation model to analyze the convergence effect of utilizing smartphone technology for Therapeutic Lifestyle Change(TLC) among people with mental illness. A survey using a structured self-questionnaire was conducted from 549 male and 357 female subjects. The data was analyzed by SPSS 23.0 and AMOS 21.0. The model fit for the modified hypothetical model was shown: Q(${\chi}^2/df$)=3.241, AGFI=0.968, CFI=0.970, RMSEA=0.050(95% CI=0.035, 0.065), SRMR=0.048. In modified model from hypothetical model, the opinions about smartphone use affect the willingness to use smartphone applications. And the willingness to use smartphone applications affect dietary and living habits. The result of this study suggests that a convergent study using various delivery systems such as smartphone technology is necessary to implement TLC, which can facilitate the prevention of the metabolic syndrome among people with schizophrenia.

키워드

참고문헌

  1. Gutierrez-Fisac, J., Angel, R.-B. M., & Rodriguez- Artalejo, F. (2006). Health-risks associated with western diet and sedentariness: the obesity epidemia. Gaceta sanitaria/SESPAS, 20, 48-54. DOI: 10.1157/13086026
  2. Capodaglio, P., Castelnuovo, G., Brunani, A., Vismara, L., Villa, V., & Maria Capodaglio, E. (2010). Functional limitations and occupational issues in obesity: a review. International Journal of Occupational Safety and Ergonomics, 16(4), 507-523. DOI: 10.1080/10803548.2010.11076v863
  3. K. M. Flegal, B. L. Graubard, D. F. Williamson & M. H. Gail. (2005). Excess deaths associated with underweight, overweight, and obesity. Jama, 293(15), 1861-1867. DOI: 10.1001/jama.293.15.1861
  4. Castelnuovo, G., & Simpson, S. (2011). Ebesity-e-health for obesity-new technologies for the treatment of obesity in clinical psychology and medicine. Clinical practice and epidemiology in mental health: CP & EMH, 7, 5-8. DOI: 10.2174/1745017901107010005
  5. Dombrowski, S. U., Sniehotta, F. F., Avenell, A., Johnston, M., MacLennan, G., & Araujo-Soares, V. (2012). Identifying active ingredients in complex behavioural interventions for obese adults with obesity-related co-morbidities or additional risk factors for co-morbidities: a systematic review. Health Psychology Review, 6(1), 7-32. DOI: 10.1080/17437199.2010.513298
  6. Koch, D. A., & Scott, A. J. (2012). Weight gain and lipid-glucose profiles among patients taking antipsychotic medications: comparisons for prescriptions administered using algorithms versus usual care. J Psychiatr Ment Health Nurs, 19(5), 389-394. doi:10.1111/j.1365-2850.2011.01781.x
  7. M, D. E. Hert, Correll, C. U., Bobes, J., Cetkovich-Bakmas, M., Cohen, D., Asai, I., Leucht, S. (2011). Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care. World Psychiatry, 10(1), 52-77. https://doi.org/10.1002/j.2051-5545.2011.tb00014.x
  8. Lawrence, D., Kisely, S., & Pais, J. (2010). The epidemiology of excess mortality in people with mental illness. Can J Psychiatry, 55(12), 752-760. doi:10.1177/070674371005501202
  9. Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Buckley Woods, H. (2013). Interventions employing mobile technology for overweight and obesity: an early systematic review of randomized controlled trials. Obesity reviews, 14(4), 279-291. DOI: 10.1111/obr.12006
  10. Castelnuovo, G., Manzoni, G. M., Pietrabissa, G., Corti, S., Giusti, E. M., Molinari, E., & Simpson, S. (2014). Obesity and outpatient rehabilitation using mobile technologies: the potential mHealth approach. Frontiers in psychology, 5, 1-7. DOI: 10.3389/fpsyg.2014.00559
  11. Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012). Internet of things: Vision, applications and research challenges. Ad Hoc Networks, 10(7), 1497-1516. DOI: 10.1016/j.adhoc.2012.02.016
  12. Hebden, L., Balestracci, K., McGeechan, K., Denney-Wilson, E., Harris, M., Bauman, A., & Allman-Farinelli, M. (2013). 'TXT2BFiT'a mobile phone-based healthy lifestyle program for preventing unhealthy weight gain in young adults: study protocol for a randomized controlled trial. Trials, 14(1), 75. DOI: 10.1186/1745-6215-14-75
  13. Schoffman, D. E., Turner-McGrievy, G., Jones, S. J., & Wilcox, S. (2013). Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games? Translational behavioral medicine, 3(3), 320-325. DOI: 10.1007/s13142-013-0206-3
  14. Turner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013). Comparison of traditional versus mobile app self-monitoring of physical activity and dietary intake among overweight adults participating in an mHealth weight loss program. Journal of the American Medical Informatics Association, 20(3), 513-518. DOI: 10.1136/amiajnl-2012-001510
  15. Daker-White, G., & Rogers, A. (2013). What is the potential for social networks and support to enhance future telehealth interventions for people with a diagnosis of schizophrenia: a critical interpretive synthesis. BMC Psychiatry, 13, 279. doi:10.1186/1471-244x-13-279
  16. Lane, N. D., Mohammod, M., Lin, M., Yang, X., Lu, H., Ali, S., Campbell, A. (2011, May). Bewell: A smartphone application to monitor, model and promote wellbeing. Paper presented at the 5th international ICST conference on pervasive computing technologies for healthcare, 23-26.
  17. Firth, J., & Torous, J. (2015). Smartphone apps for schizophrenia: a systematic review. JMIR mHealth and uHealth, 3(4). DOI: 10.2196/mhealth.4930
  18. Lal, S., Dell'Elce, J., Tucci, N., Fuhrer, R., Tamblyn, R., & Malla, A. (2015). Preferences of young adults with first-episode psychosis for receiving specialized mental health services using technology: A survey study. JMIR mental health, 2(2). DOI: 10.2196/mental.4400
  19. Y. Kwon. (2014). Necessity of the Development of a Web-based Obesity ManagementProgram to Prevent Metabolic Syndrome of the Workers. Journal of the Korea Convergence Society, 5(4), 121-127. http://www.earticle.net.eproxy.pusan.ac.kr/article.aspx?sn=240162 https://doi.org/10.15207/JKCS.2014.5.4.121
  20. E. Jung, J. Kim, H. Jung, H. Yoo & K. Chung. (2017). Mining based Mental Health and Blood Pressure Management Service for Smart Health. Journal of the Korea Convergence Society, 8(1), 13-18. DOI:10.15207/JKCS.2017.8.1.013
  21. K. Cha, H. Choi, W. Hong & S. Park. (2017). Development of Emotion Inference Application with Location Information and User's Heartbeat Rate. Journal of the Korea Convergence Society, 8(8), 83-88. DOI:10.15207/JKCS.2017.8.8.083
  22. Methapatara, W., & Srisurapanont, M. (2011). Pedometer walking plus motivational interviewing program for Thai schizophrenic patients with obesity or overweight: a 12-week, randomized, controlled trial. Psychiatry Clin Neurosci, 65(4), 374-380. doi:10.1111/j.1440-1819.2011.02225.x
  23. Ben-Zeev D., Scherer E. A., Gottlieb J. D., Rotondi A. J., Brunette M. F., Achtyes E. D., et al. (2016). mHealth for schizophrenia: patient engagement with a mobile phone intervention following hospital discharge. Journal of Medical Internet Research mental health. 3(3), e34. DOI: 10.2196/mental.6348
  24. Ben-Zeev, D., Davis, K. E., Kaiser, S., Krzsos, I., & Drake, R. E. (2013). Mobile technologies among people with serious mental illness: opportunities for future services. Administration and Policy in Mental Health and Mental Health Services Research, 40(4), 340-343. DOI: 10.1007/s10488-012-0424-x
  25. Agency K.I.S.A. (2014). The Survey on the Internet Usage. Seoul: National Information Society Agency. https://isis.kisa.or.kr
  26. Agency N.I.A. (2015). The Survey on the digital divide index and status. Seoul: Korea Agency for Digital Opportunity and Promotion. http://www.nia.or.kr
  27. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1991). Fundamentals of Item Response Theory. Newbury Park: Sage.
  28. Ventriglio, A., Gentile, A., Stella, E., & Bellomo, A. (2015). Metabolic issues in patients affected by schizophrenia: clinical characteristics and medical management. Frontiers in neuroscience, 9(297), 1-7. DOI: 10.3389/fnins.2015.00297
  29. Korea Employment Agency for the Disabled. (2011). The Survey of Disabled Persons. Seoul: Korea Employment Agency for the Disabled. http://edi.kead.or.kr
  30. Macias, C., Panch, T., Hicks, Y. M., Scolnick, J. S., Weene, D. L., Ongur, D., & Cohen, B. M. , Panch, T., Hicks, Y. M., Scolnick, J. S., Weene, D. L., Ongur, D., & Cohen, B. M. (2015). Using smartphone apps to promote psychiatric and physical well-being. Psychiatric Quarterly, 86(4), 505-519. DOI: 10.1007/s11126- 015-9337-7
  31. E. Lee, S. Jo & H. Lee. (2018). A Study on the Impact of Mobile Healthcare's Diffusion of Innovation Factors on Intention to Use : Focusing on Moderating Effects of Innovation Propensity. Journal of Digital Convergence, 16(5), 153-162. https://doi.org/10.14400/JDC.2018.16.5.153
  32. Van Citters, A. D., Pratt, S. I., Jue, K., Williams, G., Miller, P. T., Xie, H., & Bartels, S. J. (2010). A pilot evaluation of the In SHAPE individualized health promotion intervention for adults with mental illness. Community Ment Health J, 46(6), 540-552. doi:10.1007/s10597-009-9272-x
  33. Sugai, T., Suzuki, Y., Yamazaki, M., Shimoda, K., Mori, T., Ozeki, Y., . . . Someya, T. (2016). Difference in prevalence of metabolic syndrome between Japanese outpatients and inpatients with schizophrenia: A nationwide survey. Schizophr Res, 171(1-3), 68-73. doi:10.1016/ j.schres.2016.01.016
  34. Y. Jeong. (2015). U-healthcare Service Management Scheme for Big Data of Patient Infomation. Journal of Convergence for Information Technology, 5(1), 1-6. http://www.earticle.net/article.aspx?sn=250785 https://doi.org/10.22156/CS4SMB.2015.5.1.001
  35. M. Lee. & H. Kang. (2017). Effects of Mobile based-Healthcare Service using Human Coaching to the Self-care of Diabetes. Journal of Convergence for Information Technology, 7(4), 83-89. DOI : https://doi.org/10.22156/CS4SMB.2017.7.4.083
  36. Ben-Zeev, D., Kaiser, S. M., Brenner, C. J., Begale, M., Duffecy, J., & Mohr, D. C. (2013). Development and usability testing of FOCUS: a smartphone system for self-management of schizophrenia. Psychiatr Rehabil J, 36(4), 289-296. doi:10.1037/prj0000019
  37. Mitchell, A. J., Vancampfort, D., Sweers, K., van Winkel, R., Yu, W., & De Hert, M. (2013). Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders--a systematic review and meta-analysis. Schizophr Bull, 39(2), 306-318. doi:10.1093/schbul/sbr148
  38. Pietrabissa, G., Manzoni, G. M., Corti, S., Vegliante, N., Molinari, E., & Castelnuovo, G. (2012). Addressing motivation in obesity treatment: a new challenge for clinical psychology. Frontiers in psychology, 3, 1-4. DOI: 10.3389/fpsyg.2012.00317
  39. L. Lee, S. Lee, J. Jeong, & K. Noh. (2017). Psychological Factors Influencing Continuous Use of Mobile Healthcare Applications. Journal of Digital Convergence, 15(7), 445-456. https://doi.org/10.14400/JDC.2017.15.7.445
  40. Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2016). Mobile Phone Ownership and Endorsement of "mHealth" Among People With Psychosis: A Meta-analysis of Cross-sectional Studies. Schizophr Bull, 42(2), 448-455. doi:10.1093/schbul/sbv132