بررسی تطبیقی تأثیر شبکه‌های مجازی بر کاهش استرس ادراک‌شده و اضطراب کرونا در افراد مبتلا و غیر مبتلا به کرونا در پاندمی کووید-19

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد روانشناسی بالینی، دانشگاه آزاد اسلامی واحد اراک، اراک، ایران

2 استادیار مدیریت خدمات بهداشتی و درمانی، دانشگاه آزاد اسلامی واحد اراک، اراک، ایران

3 استادیار روانشناسی کودکان استثنایی، دانشگاه آزاد اسلامی واحد اراک، اراک، ایران

چکیده

هدف: هدف پژوهش حاضر بررسی تطبیقی تأثیر شبکه‌های مجازی بر کاهش استرس ادراک‌شده و اضطراب کرونا در افراد مبتلا و غیر مبتلا به کرونا در پاندمی کووید-19 در سال 1399 بود.
روش: پژوهش حاضر از نوع کاربردی و در زمره تحقیقات توصیفی و همبستگی بود. جامعه آماری پژوهش حاضر شامل کلیه زنان و مردان منطقه 3 شهر خرم‌آباد در سال 1399 بود. جهت دستیابی به اهداف پژوهش از بین زنان و مردان شهر خرم‌آباد و در خصوص حجم نمونه، با توجه به نوع مطالعه و تعداد متغیرها در تحلیل رگرسیون با توجه به فرمول کوکران در جامعه نامشخص و در نهایت، با توجه به موارد بالا و در نظر گرفتن مسائل اجرایی، هزینه و افت آزمودنی‌ها، حجم نمونه نهایی 200 نفر تعیین شد. روش نمونه‌گیری به دلیل شیوع ویروس کرونا و محدودیت‌هایی که این بیماری ایجاد کرد، به روش نمونه‌گیری غیرتصادفی و در دسترس انجام شد. برای جمع‌آوری اطلاعات از پرسشنامه‌های ادراک‌شده کوهن و همکاران (1983)، اضطراب کتل (1970) و شبکه‌های مجازی سرمد و همکاران (1390) استفاده شد. داده‌ها توسط آزمون رگرسیون مورد تحلیل قرار گرفتند.
یافته ها: نتایج نشان داد که شبکه مجازی به صورت معنی‌دار در پیش‌بینی اضطراب کرونا و استرس ادراک‌شده هم در افراد مبتلا هم غیرمبتلا، در پاندمی کووید-19 نقش معنی دار دارند (0/001>p). میزان استرس در افراد مبتلا به کرونا بیشتر از افراد غیرمبتلا است (0/001>p). میزان اضطراب در افراد مبتلا به کرونا بیشتر از افراد غیرمبتلا است (0/001>p).

کلیدواژه‌ها


عنوان مقاله [English]

A comparative study of the effect of virtual networks on the reduction of perceived stress and corona anxiety in patients with and without corona disease in the Covid-19 pandemic

نویسندگان [English]

  • fatemeh khosravy 1
  • morteza ghasemi 2
  • alireza mollazade 3
1 M.A. Student in Clinical Psychology, Islamic Azad University, Arak Branch, Arak, Iran
2 Assistant Professor in Health Care Services Management, Islamic Azad university, Arak Branch, Arak, Iran
3 Assistant Professor in Psychology of Exceptional Children, Islamic Azad university, Arak Branch, Arak, Iran
چکیده [English]

Objective: The aim of this study was to compare the effect of virtual networks on the reduction of perceived stress and corona anxiety in patients with and without corona artery disease in the Covid-19 pandemic in 1399.
Methods: The present study was a descriptive and correlational research. The statistical population of the present study included all men and women in District 3 of Khorramabad in 1399. According to the type of study and the number of variables in regression analysis according to Cochran's formula in the community is uncertain and finally, according to the above and considering Executive issues, cost and drop of subjects, the final sample size of 200 people was determined. Sampling method Due to the prevalence of coronavirus and the limitations caused by this disease, non-random and available sampling method was performed. Cohen et al.'s (1983) Perceptual Questionnaire (Cattle Anxiety (1970)) and Sarmad et al.'s (2011) Virtual Networks were used to collect data. Data were analyzed by regression test.
Results: The results showed that the virtual network had a significant role in predicting corona anxiety and perceived stress in both patients and non-patients in the Covid-19
pandemic (p <0.001). Stress levels in corona arteries are higher than non-corona arteries (p<0.001). Anxiety is higher in people with corona artery than non-corona patients (p<0.001). . . . . .

کلیدواژه‌ها [English]

  • Corona Anxiety" Covid
  • 19 " Pandemic " Virtual Networks" Perceived Stress
  1. Rapid reviews to strengthen health policy and systems: a practical guide, 2017. https://www.who.int/alliance-hpsr/resources/publications/rapid-review-guide/en/ (accessed Jan 31, 2020).
  2. Centers for Disease Control and Prevention. Quarantine andisolation, 2017. https://www.cdc.gov/quarantine/index.html (accessed Jan 30, 2020).
  3. Manuell ME, Cukor J. Mother Nature versus human nature: public compliance with evacuation and quarantine. Disasters 2011;35:417-42.
  4. Newman, K. Shutt up: bubonic plague and quarantine in earlymodern England. J Sol Hist 2012;45:809-34.
  5. Public Health England. Novel coronavirus (2019-nCoV), what you need to know. 2020. https://publichealthmatters.blog.gov.uk/2020/01/23/wuhan-novel-coronavirus-what-you-needto-know/(accessed Jan 31, 2020).
  6. Barbisch D, Koenig KL, Shih FY. Is there a case for quarantine? Perspectives from SARS to Ebola. Disaster Med Public Health Prep 2015;9:547-53.
  7. Miles S.H.. Kaci Hickox: public health and the politics of fear. 2014. http://www.bioethics.net/2014/11/kaci-hickox-public-health-and-thepolitics-of-fear/accessed Jan 31, 2020).
  8. Lai J., Ma S., Wang Y., Cai Z., Hu J., Wei N., Huang M., Wang H., Wang G., Liu Z., Hu S.. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw Open 2020;2:3(3):e203976. doi: 10.1001/jamanetworkopen.2020.3976. PMID: 32202646; PMCID: PMC7090843.
  9. Bai Y., Lin CC., Lin C.Y., Chen J.Y., Chue C.M., Chou P.. Survey ofstress reactions among health care workers involved with the SARSoutbreak. Psychiatr Serv 2004;55:1055-57.
  10. Blendon R.J., Benson J.M., DesRoches C.M., Raleigh E., Taylor-Clark K.. The public’s response to severe acute respiratory syndrome inToronto and the United States. Clin Infect Dis 2004;38:925-31.
  11. Braunack-Mayer A., Tooher R., Collins JE. Street JM, Marshall H.Understanding the school community’s response to school closuresduring the H1N1 2009 influenza pandemic. BMC Public Health 2013;13:344.
  12. Caleo G., Duncombe J., Jephcott F., Lokuge K., Mills C., Looijen E., et al. The factors affecting household transmission dynamics and community compliancewith Ebola control measures: a mixed-methods study in a rural village in Sierra Leone. BMC Public Health 2018;18:248.
  13. Cava M.A., Fay K.E., Beanlands H.J., McCay E.A., Wignall R.. The experience of quarantine for individuals affected by SARS inToronto. Public Health Nurs 2005;22:398-406.
  14. Desclaux A., Badji D., Ndione A.G., Sow K.. Accepted monitoring orendured quarantine? Ebola contacts’ perceptions in Senegal. Soc Sci Med, 2017;178:38-45.
  15. Gorini A., Riva G.. Virtual reality in anxiety disorders: The past and the future. Expert Rev Neurother 2008;8(2):215-33. DOI:10.1586/14737175.8.2.215 [PMID)
  16. Khojasteh S., MirHosseini A.. Relationship between social networks and mental health and national and religious identity of high school students in region 1 of Kerman. Sociology of Education 2018;11(11):99-112. [In Persian]
  17. Jafari Harandi R., Bahrami S.. The effects of Internet addiction, mental health and spiritual well-being of Qom University students. Information Management Science and Technology 2020;5(1):55-77. [In Persian]
  18. Alipour A., Ghadami A., Alipour Z., Abdollahzadeh H.. Preliminary validation of the Corona Anxiety Scale (CDAS) in the Iranian sample. Educational sciences and health psychology, 2020;8(32):163-175. [In Persian]
  19. Corman V.M., Muth D., Niemeyer D., Drosten C.. Hosts and sourc es of endemic human coronaviruses. Adv Virus Res 2018;100:163-88. DOI:10.1016/bs.aivir 2018.01.001. PMID: 29551135; PMCID; PMC7112090.
  20. Farnoush J., Ali Shiri J., Hosseini Zijoud D., Dorostkar R., Jalali Farahani A.. Identification of modern coronavirus-2019 and Covid-19 based on available evidence-review study. Journal of Military Medicine 2020;22(1):1-11. [In Persian]
  21. Kooraki S., Hosseini M., Myers L., Gholamrezanezhad A.. Coro navirus (COVID-19) outbreak: What the department of radiology should know. J Am Coll Radiol 2020;17(4):447-51. DOI:10.1016/j.jacr.2020.02.008. (PMID) [PMCID]
  22. Alizadeh Fard S., Saffarinia M.. Predicting mental health based on anxiety and social cohesion due to coronavirus. Social Psychology Research, 2020;9(36):129-141. [In Persian]
  23. Roy D., Tripathy S., Kar S.K. Sharma N., Verma S.K., Kaushal V.. Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian J Psychiatr 2020;51:102083. (DOI:10.1016/j. ajp.2020.102083) (PMID) [PMCID)
  24. Naienian M., Adabdoost F., Khatibi S., Ghomian F.. Use of Internet and its relationship with mental health and quality of life in high school students. Journal of Clinical Psychology and Personality 2019;14(2):103-113. [In Persian]
  25. Chang D., Lin M., Wei L., Xie L., Zhu G., Dela Cruz C.S., Sharma L.. Epidemiologic and clinical characteristics of novel coronavirus infections involving 13 patients outside Wuhan, China. JAMA 2020;323(11):1092-1093. doi:10.1001/jama.2020.1623
  26. Jiang W., Kuchibhatla M., Cuffe M.S., Christopher E.l., Alexander J.D., Clary G.L., et al. Prognostic value of anxiety and depression in patients with chronic heart failure. Circulation 2004;110(22):3452-6. DOI:10.1161/01.CIR.0000148138.25157.79] (PMID)
  27. Dust Mohammadi M., Khojasteh S. Relationship between the use of virtual social networks with self-esteem and mental health of faculty members and students (Payame Noor University in Kerman). Cult Islam Univ 2019;8(27):251-72. [In Persian] http://ciu.nahad.ir/article_549.html
  28. Shensa A., Sidani J.E., Dew M.A., Escobar-Viera C.G., Primack B.A. Social media use and depression and anxiety symptoms: A cluster analysis. Am J Health Behav 2018;42(2):116-28. [DOI:10.5993/AJHB.42.2.11] [PMID] [PMCID]
  29. Zhang Y., Ma ZF.. Impact of the COVID-19 pandemic on mental health and quality of life among local residents in Liaoning province, China: A cross-sectional study. Int J Environ Res Public Health 2020;1717:2381. DOI:10.3390/ijerph17072381. [PMID)
  30. Chen P., Mao L, Nassis G.P., Harmer P., Ainsworth B.E., LI F.. Coro navirus disease (COVID-19): The need to maintain regular physical activity while taking precautions. J Sport Health Sci 2020;9(2):103-4. DOI:10.1016/j.jshs.2020.02.001 (PMID] [PMCID]
  31. Mousavi M., Moaddab N., Jafari A., Laal-Monfared E.. The re lationship health locus of control with health promotion behaviors and quality of life in students Torbat Heydarieh in year 2017-2018. J Torbat Stud Res Comm Torbat Heydariyeh Univ Med Sci 2018;1(1):1-7. (In Persian] http://jsrc.thums.ac.ir/ article-1-28-en.html
  32. Carpenter J.K., Sanford J., Hofmann S.G.. The effect of a brief mindfulness training on distress tolerance and stress reactivity. Behavior Therapy 2019;50(3):630-45. [DOI:10.1016/j.beth.2018.10.003] [PMIB]
  33. Salarifar M.H., Pouretemad H.R.. The relationship between metacognitive beliefs and anxiety and depression disorder. Yafte 2012;13(4):29-38. [In Persian]
  34. Saadat S., Asghari F., Jazayeri R.. The relationship between academic self-efficacy with perceived stress, coping strategies and perceived social support among students of University of Guilan. Iranian Journal of Medical Education 2015;15:67-78. URL: http://ijme.mui.ac.ir/article-1-3531-fa.html.
  35. Rasoulabadi M.. Investigating the ratio of the use of mobile social networks with social adjustment of high school students in Paveh city. Thesis for receiving a master's degree in psychology and educational sciences, Islamic Azad University, Kermanshah branch. 2015.
  36. Kalateh Sadati A.K.B., Lankarani M.H., Bagheri Lankarani K.. Risk Society, Global Vulnerability and Fragile Resilience; Sociological View on the Coronavirus Shiraz E-Med J 2020;21(4):e102263. DOI:10.5812/semj.102263.
  37. Sood S.. Psychological effects of the Coronavirus disease-2019 pandemic. Res Humanit Med Educat 2020;7:23-6. https:// rhime.in/ojs/index.php/rhime/article/view/264
  38. Joseph-Shehu E.M., Ncama B.P., Mooi N., Mashamba-Thomp son T.P.. The use of information and communication technologies to promote healthy lifestyle behaviour: A systematic scoping review. BMJ Open 2019;9(10):e029872. DOI:10.1136/bmjopen-2019-029872. (PMID] [PMCID]
  39. Lima C.K.T., de Medeiros Carvalho P.M., de Araújo Araruna Silva Lima I., de Oliveira Nunes J.V.A., Saraiva J.S., de Souza R.I.. The emotional impact of Coronavirus 2019-nCov (new Coronavirus disease). Psychiatry Res, 287 2020;112915. DOI:10.1016/j. psychres.2020.112915) (PMID. (PMCID]
  40. Al-Rabiaah A., Temsah M.H., Al-Eyadhy A.A., Hasan G.M., Al-Zamil F., Al-Subaie S., Alsohime F., Jamal A., Alhaboob A., Al-Saadi B., Somily A.M.. Middle East Respiratory Syndrome-Corona Virus (MERS-CoV) associated stress among medical students at a university teaching hospital in Saudi Arabia. J Infect Public Health 2020;13(5):687-691. doi: 10.1016/j.jiph.2020.01.005. Epub 2020 Jan 27. PMID: 32001194; PMCID: PMC7102651.
  41. Dong X., Wang L., Tao Y., Suo X., Li Y., Liu F.. Psychometric properties of the Anxiety Inventory for Respiratory Disease in patients with COPD in China. Int J Chron Obstruct Pulmon Dis, 2017;12: 49-58. DOI:10.2147/COPD.S11 7626.
  42. Bajema K.L., Oster A.M., McGovern O.L., Lindstrom S., Stengrer M.R., Anderson T.C., et al. Persons Evaluated for 2019 Novel Coronavirus-United States. MMWR Morb Mortal Wkly Rep 2020;69(6):166-170. DOI: dx.doi.org/10.15585/mmwr.mm6906e1.
  43. To K.K.W., Tsang O.T.Y., Yip C.C.Y.. Consistent detection of 2019 novel coronavirus in saliva. Clinical Infectious Diseases 2020; ciaa149. DOI: https://doi.org/10.1093/cid/ciaa149.