تأثیر سلامت روانی و کیفیت زندگی دانشجویان در دوران کرونا بر وضعیت تحصیلی آنان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه ترویج و آموزش کشاورزی، دانشکده کشاورزی و منابع‌طبیعی، دانشگاه سراوان، سراوان، ایران. سازمان تحقیقات، آموزش و ترویج کشاورزی- مرکز تحقیقات و آموزش کشاورزی و منابع‌طبیعی استان مرکزی. اراک. ایران

2 گروه ترویج و آموزش کشاورزی، دانشکده کشاورزی و منابع‌طبیعی، دانشگاه سراوان، سراوان، ایران

چکیده

با گسترش ویروس کرونا در سطح جهان، شیوه آموزش در دانشگاه­ها تغییر و بالطبع سلامت روانی و کیفیت زندگی تحت­تأثیر قرار گرفت. در ادامه این روند، وضعیت تحصیلی دانشجویان در دوران قرنطینه و فاصله­گذاری اجتماعی دستخوش تغییرات و تأثیرپذیری از شرایط سلامت روانی و کیفیت زندگی شد. هدف اصلی پژوهش حاضر بررسی تأثیر سلامت روانی و کیفیت زندگی دانشجویان در دوران کرونا بر وضعیت تحصیلی آنان بود. این مطالعه در بین دانشجویان دانشگاه­های جنوب شرق کشور، استان سیستان و بلوچستان، انجام شد (N=30.217). نمونه با استفاده از نمونه­گیری تصادفی طبقه­ای و انتخاب 310 دانشجو در رشته­ها و مقاطع مختلف تحصیلی بود. ابزار سنجش این مطالعه، پرسشنامه­ای آنلاین بود که روایی صوری و محتوایی آن را متخصصان حوزه روانشناسی و رفتاری تأیید نمودند و برای بررسی پایایی آن نیز از آزمون راهنما و محاسبه ضریب آلفای کرونباخ و پایایی ترکیبی استفاده شد. یافته­ها نشان از ارتباط مثبت و معنی­دار بین متغیرهای سلامت روانی و وضعیت تحصیلی دانشجویان داشت و همچنین نتایج تحلیل مدل­سازی معادلات ساختاری نیز حاکی از قدرت پیش­بینی قوی متغیرهای سلامت روانی و کیفیت زندگی بر وضعیت تحصیلی دانشجویان است.

کلیدواژه‌ها

عنوان مقاله [English]

The effect of students' mental health and quality of life during the corona on the educational status of students

نویسندگان [English]

  • zahra khoshnoodi far 1
  • Fatemeh Ertiaei 2
  • Seyed Abolghasem Barabadi 2
1 Department of Agricultural Extension and Education, College of Agriculture & Natural Resources, Saravan University, Saravan, Iran. Agricultural Research, Education & Extension Organization (AREEO), Agricultural and Natural Resources Research and Education Center of Markazi Province, Arak, Iran
2 Department of Agricultural Extension and Education, College of Agriculture & Natural Resources, Saravan University, Saravan, Iran
چکیده [English]

With the spread of the Corona virus worldwide, the way of teaching in universities has changed and, of course, the mental health and quality of life of students has been affected. Following this trend, the educational status of students during the quarantine and social distance was changed and affected by mental health conditions and quality of life. The main purpose of this study was to investigate the effect of students' mental health and quality of life during the corona on their educational status. This study was performed among students in southeastern universities, Sistan and Baluchistan province (N = 30.217). The sample was 310 students in different fields and levels of education using stratified random sampling. The evaluation tool of this study was an online questionnaire whose face and content validity was confirmed by experts in the field of psychology and behavior. The findings showed a positive and significant relationship between mental health variables and students 'academic status and also the results of structural equation modeling analysis indicate the strong predictive power of mental health and quality of life variables on students' academic status.

کلیدواژه‌ها [English]

  • Educational status
  • Mental health
  • Quality of life
  • Students

Extended Abstract

Objectives

Given the effect of COVID-19 on the students’ mental health and quality of life, this research aimed to explore the students’ mental health and quality of life during the COVID-19 pandemic and shed light on the effect of these two parameters on their academic achievement. The students’ academic achievement was measured by such indicators as learning quality and efficiency, academic motivation, accomplishment of academic goals, connection with teachers and class participation, and access to online classes. Indeed, all four pillars of an educational system, including trainer (connection with teachers and class participation), trainee (academic motivation and learning quality and efficiency), material (accomplishment of academic goals), and educational setting (access to online classes) were considered as required.

 

Methods

The statistical population was composed of all students of the universities in southeast Iran including the University of Sistan and Baluchistan (N = 21,217), Velayat University of Iranshahr (N = 7,500), and Higher Education Complex of Saravan (N = 1,500) at undergraduate, postgraduate, and Ph.D. levels in different disciplines. The statistical sample was estimated by the formula of estimating the average of a quantitative trait in descriptive studies and was taken by the stratified sampling technique with the proportional allocation (n = 310).

Data were collected with a combination of Walrand’s (1982) academic motivation questionnaire, Diener’s satisfaction with life scale, and corona disease anxiety scale (CDAS) developed by Ahmad Alipour et al. (2019) to determine the corona anxiety level in a clinical sample. The research questionnaire was composed of three sections. Section 1 was related to the student’s demographic information on traits like age, gender, GPA, educational level, field of study, residence during the pandemic, and the effect of COVID-19 on the career and income of the individual and the family. Section 2 collected information on the students’ mental health during the pandemic with the indicators of the students’ stress level (3 items), depression during the quarantine period (3 items), anxiety and sleeping disorder level (4 items), and loneliness state (3 items) and their quality of life with the indicators of emotional health (5 items) and social interactions (5 items). Finally, section 3 addressed the students’ academic status including the indicators of learning quality and efficiency (5 items), accomplishment of academic goals (3 items), academic motivation (3 items), connection with the teachers and participation in online classes (5 items), and access to online classes (4 items). All questions were measured by Likert’s five-point scale. Cronbach’s alpha was calculated at 0.84-0.94 for the micro-scales, and the internal consistency of the whole scale was found to be 0.93, reflecting the reliability of the research instrument. The validity of the instrument was confirmed by a panel of faculty members and relevant experts. The authors used a web-based survey design. All participants expressed their satisfaction with participation before they start to fill out the questionnaire. The participants filled out the questionnaires on the Internet platform Porseline from October 2021 to January 2022. They were allowed to finish the survey whenever they would like.

The data were analyzed using the social science statistical software suite of SPSS ver. 25.0. The analysis included descriptive statistics, e.g., mean, standard deviation (SD), frequencies, and percentages, used to describe the participants’ demographic information. The significance level (p-value) was set at p < 0.05. The research questions were explored by data analysis methods including t-test, two-way analysis of variance, and multivariate analysis of variance to compare the mean demographic characteristics of the participants (gender, family income, and job) and their impact on the quality of life and mental health dimensions. Also, Pearson correlation coefficient was applied to check the correlations between the students’ mental health and life quality dimensions and their academic achievement. Eventually, the relationships of the variables were examined within a model using structural equation modeling (SEM) in the Smart-PLS (ver. 3) software package. The main reasons for the use of SEM are its capability of testing the theories by equations among the variables, determining the causal structure of the hidden variables, including the measurement error, and defining the relationships between the hidden and observed variables within a model.

 

Results

The results showed that the mental health and life quality of the students were influenced during the COVID-19 pandemic (p < 0.01) so that over half of the participants (61%) experienced symptoms of anxiety and sleeping disorder, stress, depression, and loneliness. The effect of COVID-19 was significant (p < 0.01) and almost over 70 percent on the students’ learning quality and efficiency, accomplishment of academic goals, academic motivation, and connection with teachers and participation in online classes.

The results showed that the quality of life had positive and significant correlations with the students’ academic achievement, learning quality and efficiency, accomplishment of academic goals, academic motivation, connection with teachers and participation in online classes, and access to online classes (r = 0.788, r = 0.609, r = 0.701, r = 0.523, r = 0.186, p < 0.001). On the other hand, the students’ life quality had a positive and significant relationship with mental health (r = 0.478, p < 0.001). It had a negative and significant relationship (r = -0.059, p < 0.001) with the students’ anxiety and sleeping disorder during the pandemic. After the measurement and structural models were confirmed, it was the turn to check the significance of the relationships between the research variables. The statistical significance of the paths was examined by t-value. The relationship is significant if the t-value is greater than 1.96. As is observed in Figure 1, the significance coefficient is 6.35 for the path of mental health and educational achievement and 17.36 for the path of life quality and educational achievement. This means that the two variables of mental health and life quality have positive and significant relationships with the students’ educational achievement. It should also be noted that the relationships of the hidden variables of stress, depression, anxiety, and isolation with the variable of mental health, the relationships of the variables of emotional health and social interactions with life quality, and the relationships of the variables of learning quality, educational motivation, educational goals, connection with teachers, and access to online classes with educational achievement were all significant. This means that the main variables have been accounted for by the dimensions appropriately.

 

Conclusion

The research aimed to explore the effects of the COVID-19 pandemic on the Iranian students’ mental health and life quality. Then, the effects of these two variables were studied on the students’ academic achievement through which the relationships of the variables were presented within a structural equation model.

The students with different study fields, those living with their families vs. those not, the employed students vs. unemployed ones, the students with different financial statuses, and the students from different genders showed significant differences in mental health, but the educational level had no significant effect on their mental health. In another section of the data analysis, it was found that life quality had a significant correlation with the students’ academic achievement, learning quality and efficiency, accomplishment of academic goals, academic motivation, connection with teachers and participation in online classes, and access to online classes.

 

مراجع

Adams, G. C., Balbuena, L., Meng, X., & Asmundson, G. J. G. (2016). When social anxiety and depression go together: a population study of comorbidity and associated consequences. J. Affect. Disord, 206; 48–54.
Adhanom Ghebreyesus, T. (2020). Addressing mental health needs: an integral part of COVID-19 response. World J. Psychiatry., 19(2); 129–30
Ahmed, M. Z., Ahmed, O., Aibao, Z., Hanbin, S., Siyu, L., & Ahmad, A. (2020). Epidemic of COVID-19 in China and associated psychological problems. Asian J. Psychiatr. 51; 1–7.
Akdeniz, G., Mariam, K., Muharrem, G., Yalcinkaya, S., Kucukay, A., & Ashutogullari, B. (2020). A survey of attitudes, anxiety status, and protective behaviors of the university students during the COVID-19 outbreak in Turkey. J. Front. Psychiatry, 11; 695.
Aljawawdeh, G., & Alghazo, Y. (2019). Anxiety and stress and their influence on undergraduate student performance in Saudi Arabia. J. Educ. Res. Policies., 7, 203–207
Al Miskry, A. S. A., Hamid, A. A. M & Darweesh, A. H. M. (2021). The impact of covid 19 pandemic on university faculty, staff and students and coping strategies used during thelockdown in the United Arab Emirates. Front. Psychol., 12.
Amerio, A., Brambilla, A., Morganti, A., Aguglia, A., Bianchi, D., & Santi, F. (2020). COVID-19 lockdown: housing built environment’s effects on mental health. Int. J. Environ. Res. Public Health., 17; 5973.
Annual report. (2019). Center for Collegiate Mental Health. University Park, PA: Penn State University; 2020. URL: https:/ /ccmh.memberclicks.net/assets/docs/2019-CCMH-Annual-Report_3.17.20.pdf [accessed 2020-05-11].
Ardan, M., Rahman, F.F., Geroda, G. B. (2020). The influence of physical distance to student anxiety on COVID-19, Indonesia. J. Crit. Rev., 7 (17); 1126–1132.
Aristovnik, A., Kerˇziˇc, D., Ravˇselj, D., Tomaˇzeviˇc, N., & Umek, L. (2020). Impacts of the COVID-19 pandemic on life of higher education students: A global perspective. Sustain. Sci., 12; 8438
Aquilino, W. S. (2006). Family relationships and support systems in emerging adulthood.
Atchison, C. J., Bowman, L., Vrinten, C., Redd, R., Pristera, P., Eaton, J. W. (2020). Perceptions and behavioural responses of the general public during the COVID19 pandemic: a cross-sectional survey of UK Adults. medRxiv. 11: e043577.
Auerbach, R. P., Alonso, J., Axinn, W. G., Cuijpers, P., Ebert, D. D., & Green, J. G. (2016). Mental disorders among college students in the World Health Organization world mental health surveys. Psychological Medicine., 46, 2955–2970
Bhagat, S., & Kim, D. J. (2020). Higher education amidst COVID-19: Challenges and silver lining. Inf. Syst. Manag., 37(4), 366–371.
Brooks, S. K., Webster, R. K., Smith, L. E., Woodland, L., Wessely, S., Greenberg, N., & Rubin, G. J. (2020). The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. The Lancet., 395; 912-920.
Byrnes, Y. M., Civantos, A. M., Go, B.C., McWilliams, T. L., & Rajasekaran, K. (2020). Effect of the COVID-19 pandemic on medical student career perceptions: a national survey study. Med. Educ., Online 25 (1), 1798088.
Cao, W., Fang, Z., Hou, G., Han, M., Xu, X., Dong, J., & Zheng, J. (2020). The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res., 287 (5); 112934-40.
Chan, L. G., & Kuan, B. (2020). Mental health and holistic care of migrant workers in Singapore during the COVID-19 pandemic. J. Global Health., 10:020332.
Chang, J., Yuan, Y., & Wang, D. (2020). Mental health status and its influencing factors among college students during the epidemic of new coronavirus pneumonia. South. Med. J., 40; 171–176.
Chen, Q., Liang, M., Li, Y., Guo, J., Fei, D., Wang, L., He, L., Sheng, C., Cai, Y., Li, X., Wang, J., & Zhang, Z. (2020). Mental health care for medical staf in China during the COVID-19 outbreak. The Lancet Psych., 7(4); e15–e16.
Cohen, J. (1988). Statistical Power analysis for the behavioral sciences. Br J Psychiatry (Second Edi). Lawrence Erlbaum associates. https://doi.org/10.1192/bjp.111.479.1009-a.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika., 16(3); 297–334. https://doi.org/10.1007/BF02310555.
Currie, G., Hewis, J., Nelson, T., Chandler, A., Nabasenja, C., & Spuur, K. (2020). COVID-19 impact on undergraduate teaching: Medical radiation science teaching team experience. J Med Imaging Radiat Sci., 518–527.
Davari, A. & Rezazadeh, A. (2017). Structural equation modeling with the PLS software.College of Academic Jihad. (In Persian).
Demetriou, L. (2021). The Impact of the Covid19 Lockdown Measures on Mental Health and Well-Being and the role of Resilience: A Review of Studies in Cyprus. Int. j. humanit. soc. sci., 4 (3); 54-65
D’Agostino, A., Demartini, B., Cavallotti, S., & Gambini, O. (2020). Mental health services in Italy during the COVID-19 outbreak. Lancet Psych., 7(5); 385–7.
Dong, L., & Bouey, J. (2020). Public mental health crisis during COVID-19 pandemic, China. Emerg. Infect. Dis., 26.
Esteves, C. S., Oliveira, C. R. D., & Argimon, I. I. D. L. (2021). Social distancing: prevalence of depressive, anxiety, and stress symptoms among Brazilian students during the COVID-19 pandemic. Front. Public Health., 8; 923.
Etheridge, B., & Spantig, L. (2020). The gender gap in mental well-being during the covid-19 outbreak: Evidence from the UK. Institute for Social and Economic Research. Eurostat. 
Farajollahi, M., Najafi, H., Nosrati Hashi, K., Najafiyan, S. (2013). Relationship between learning styles and academic achievement of university students. Educ. Strateg. Med. Sci., 6(2): 83-88.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. J Mark Res., 18(1), 39–50. https://doi.org/10.2307/3151312.
Fornili, M., Petri, D., Berrocal, C., Fiorentino, G., Ricceri, F., Macciotta, A., Bruno, A., Farinella, D., Baccini, M., Severi, G., & Baglietto, L. (2021). Psychological distress in the academic population and its association with socio-demographic and lifestyle characteristics during COVID-19 pandemic lockdown: results from a large multicenter Italian study. PLoS ONE., 16(3), e0248370.
Fry, F., Passel, J., & Cohn, D. (2020). A majority of young adults in the US live with their parents for the first time since the Great Depression. Washington, DC: Pew Research Center.
Fu, W., Wang, C., Zou, L., Guo, Y., Lu, Z., Yan, S. (2020). Psychological health, sleep quality, and coping styles to stress facing the COVID-19 in Wuhan, China. Transl. P sych., 10; 2–9.
Garvey, A. M., García, I. J., Otal Franco, S. H., & Fernández, C. M. (2021). The psychological impact of strict and prolonged confinement on business students during the COVID-19 pandemic at a Spanish universityInt. J. Environ. Res. Public., 18(4); 1710.
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., et al. (2020). Clinical characteristics of coronavirus disease 2019 in China. N. Engl. J. Med., 382; 1708–1720
Giovanni, B., Campolo, G. M., Fiorillo, F., Pagani, L., Panarello, D., & Augello, V. (2021). Effects of COVID‑19 lockdown on university students’ anxiety disorder in Italy. J. Popul. Sci.,77; 25.
Hongbo, L., & Waqas, M. A. (2020). Psychological predictors OF anxiety IN response to the COVID-19 pandemic: Evidence from Pakistan.
Husky, M. M., Kovess-Masfety, V., & Swendsen, J. D. (2020). Stress and anxiety among university students in France during Covid-19 mandatory confinement. Compr. Psychiatry., 102, 152191.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis. Pearson., (7th ed.). https://doi.org/10.1007/978-3-319-01517-0_3.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed, a silver bullet. J. Mark. Theory Pract., 19(2), 139–151. https://doi.org/10.2753/MTP1069-6679190202.
Hashemi, A. (2021). Effects of COVID-19 on the academic performance of Afghan students’ and their level of satisfaction with online teaching. Cogent Arts Human, 8 (1), 1933684.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Adv. Int. Mark., 20, 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014.
Jones, H. E., Manze, M., Ngo, V., Lamberson, P., & Freudenberg, N. (2021). The impact of the COVID-19 pandemic on college students’ health and financial stability in New York City: findings from a population-based sample of City University of New York (CUNY) students. J. Urban Health., 98(2), 187–196.
Kang, L., Ma, S., Chen, M., Yang, J., Wang, Y., Li, R. (2020). Impact on mental health and perceptions of psychological care among medical and nursing staff in Wuhan during the 2019 novel coronavirus disease outbreak: A cross-sectional study. Brain Behav. Immun., 87; 11–17.
Keyes, C. L. (2006). Mental health in adolescence: Is America’s youth flourishing? Am J Orthopsychiatry., 76(3): 395-402.
Kibbey, M., Fedorenko, E., and Farris, S. (2021). Anxiety, depression, and health anxiety in undergraduate students living in initial US outbreak “hotspot” during COVID-19 pandemic. Cogn. Behav. Therapy., 50; 1–13.
Khaki Sedigh, A., Ahanchian, M.R. (2020). Leading Higher Education in Iran during COVID- 19 Pandemic: Reporting the Policies and Progresses. Strides Dev Med Educ., 17, Suppl: e91344. http://sdme.kmu.ac.ir/article_91344.html.
Khan, A. H., Sultana, M. S., Hossain, S., Hasan, M. T., Ahmed, H. U., & Sikder, M. T. (2020). The impact of COVID-19 pandemic on mental health & wellbeing among home-quarantined Bangladeshi students: a cross-sectional pilot study. J. Affect. Disord., 277, 121–128.
Khlaif, Z.N., Salha, S., Affouneh, S., Rashed, H., & ElKimishy, L. A. (2020). The COVID-19 epidemic: teachers’ responses to school closure in developing countries. Technol. Pedagog. Educ., 1–15.
Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, Wu J, Du H, Chen T, Li R, Tan H, Kang L, Yao L, Huang M, Wang H, Wang G, Liu Z and Hu S (2020) Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. JAMA Netw. Open., 3; 1–12.
Liu, H., Zhang, M., Yang, Q., & Yu, B. (2020). Gender differences in the influence of social isolation and loneliness on depressive symptoms in college students: A longitudinal study. Soc. Psychiatry Psychiatr. Epidemiol., 55; 251–257.
Liu, N., Zhang, F., Wei, C., Jia, Y, Shang, Z., Sun, L., Wu, L., Sun, Z., Zhou, Y., Wang, Y. & Liu, W. (2020). Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: gender differences matter. Psychiatry Res., 287; 1–7.
Li, X., Yu, H., Bian, G., Hu, Z., Liu, X., Zhoua, Q. (2020). Prevalence, risk factors, and clinical correlates of insomnia in volunteer and at home medical staff during the COVID-19. Brain Behav. Immun., 87; 140–141.
Łukasz, T., Potyrała, K., Włoch, A., Wn, J. & Demeshkant, N. (2020). Evaluation of the Functionality of a New E-Learning Platform vs. Previous Experiences in E-Learning and the Self-Assessment of Own Digital Literacy. J. Sustain.,12(23).
Mamun, M. A., & Griffiths, M. D. (2020). First COVID-19 suicide case in Bangladesh due to fear of COVID19 and xenophobia: Possible suicide prevention strategies. Asian J Psychiatr., 51; e102073.
Mezzina R, Sashidharan SP, Rosen A, Killaspy H, Saraceno, B. (2020). Mental health at the age of coronavirus: time for change. In: Soc. Psychiatry Psychiatr. Epidemiol., 55; 965–8.
Mohammadi, M. K., Mohibbi, A. A., Hedayati, M. H. (2021). Investigating the challenges and factors influencing the use of the learning management system during the COVID-19 pandemic in Afghanistan. Educ. Inf. Technol., 1–34.
Moslemi, Z., Ghomi, M., & Mohammadi, S. D. (2019). The Relationship between Creativity with Mental Health and Academic Achievement in Students at Qom University of Medical Sciences. Jundishapur Educational Development Quarterly. 9(4); 42-229. (In Persian)
Mohammed, H., Oljira, L., Roba, K., Yimer, G., Fekadu, A., & Manyazewal, T. (2020). Containment of COVID-19 in Ethiopia and implications for tuberculosis care and research. Infect. Dis. Poverty., 9(131), 00753-9.
Moghanibashi-Mansourieh., A. (2020). Assessing the anxiety level of Iranian general population during COVID-19 outbreak. Asian J. Psychiatr., 51.
Namazi, A., Alizadeh, S., & Kouchakzadeh-Talami, S. (2015). The correlation between general health, emotional intelligence and academic achievement together on midwifery students. J. Clin. Nurs. Midwifery.,2015;4(2):20-8.
Nunnally, J. C. (1978). Psychometric Theory. (2nd ed.). New York: McGraw-Hill. https://doi.org/34567890 DOCmoC 998765.
Pfefferbaum, B., & North, C. S. (2020). Mental Health and the Covid-19 pandemic. N Engl J Med., 383.
Qawi Noori, A. (2021). The impact of COVID-19 pandemic on students’ learning in higher education in Afghanistan. Heliyon., 7; e08113.
Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B., & Xu, Y. (2020). A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen. Psychiatry., 33(2).
Rahim, M. N., Chandran, S.S.C. (2021). Investigating EFL students’ perceptions on ELearning paradigm-shift during COVID-19 pandemic. Elsya: J. Engl. Lang. Stud., 3 (1), 56–66.
Rajabzadeh Almalou, A. & Saei, M. (2021). Examination of factors influencing the quality of virtual education of students (case study: the center for virtual education of academics). Management at the Islamic university,21, 10(1); 165-186. (In Persian).
Rajkumar, R. P. (2020). Covid-19 and mental health: A review of the existing literature. Asian. J. Psychiatr., 52, August 2020, 102066.
Ren, Y., Qian, W., Li, Z., Liu, Z., Zhou, Y., Wang, R., et al. (2020). Public mental health under the long-term influence of COVID-19 in China: geographical and temporal distribution. J. Affect. Disord., 277, 893–900.
Savarese, G., Curcio, L., D’Elia, D., Fasano, O., & Pecoraro, N. (2020). Online university counselling services and psychological problems among Italian students in lockdown due to Covid-19. Healthcare. Multidisciplinary Digital Publishing Institute.
Shah, K., Kamrai, D., Mekala, H., Mann, B., Desai, K., & Patel, R. S. (2020). Focus on mental health during the coronavirus (Covid-19) pandemic: applying learnings from the past outbreaks. Cureus., 12(3), e7405.
Singhal, D., & Vijayaraghavan, P. (2020). A descriptive study of Indian general public’s psychological responses during COVID-19 pandemic lockdown period in India world pandemic research network: Societal Impacts and Aftermath of covid-19: A global searchable directory. Working paper.
Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of COVID-19 on college students’ mental health in the United States: Interview survey study. J. Med. Internet Res., 22, Article e21279.
Song, Hayeon; Jihyun Kim & Wen Luo (2016). Teacher–student relationship in online classes: A role of teacher self-disclosure. Comput. Hum. Behav., 54; 436-443.
Storrie, K., Ahern, K., & Tuckett, A. (2010). A systematic review: Students with mental health problems—a growing problem. Int. J. Nurs. Pract., 16; 1–6
Tanhan, A., Yavuz K. F., Young, J. S., Nalbant, A., Arslan, G., Yıldırım, M., Ulusoy, S., Genç, E., Uğur, E., & Çiçek, İ. (2020). A proposed framework based on literature review of online contextual mental health services to enhance wellbeing and address psychopathology during COVID-19. Electron J Gen Med., 17 (6); em254.
UNESCO. (2020). UNITWIN/UNESCO chair holder’s institutional responses to COVID-19. Preliminary results of a survey conducted in April 2020.
Van de Velde, S., Buffel, V., Bracke, P., Van Hal, G., Somogyi, N., & Willems, B. (2020). The COVID-19 international student well-being study. Scand. J. Public Healt.h., 49(1), 114–122.
Valverde, B., Jesús, María del Carmen, G. A., Carmen, B.V. & María Belén, M. C. (2020). Trends in Educational Research about e-Learning: A Systematic Literature Review. Sustain. Sci., 12(12).
Verity, R., Okell, L. C., & Dorigatti, I. (2020). Estimates of the severity of coronavirus disease 2019: a model-based analysis. Lancet Infect. Dis., 20; 669–677.
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C. S., & Ho, R. C. (2020). Immediate psychological responses and associated factors during the initial stage of the 2019 coronavirus disease (COVID-19) epidemic among the general population in China. Int. J. Environ. Res. Public., 17(5), 1729.
Winters, N., Patel, K.D. (2021). Can a reconceptualization of online training be part of the solution to addressing the COVID-19 pandemic? J. Inter prof. Care., 35 (2); 161–163.
World Health Organization (WHO). (2020). Rolling Updates on Coronavirus Disease (COVID-19). Available online at: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/ events-as-they happen (accessed July, 2020).
Yang, R. (2020). China’s higher education during the COVID-19 pandemic: Some preliminary observations. High. Educ. Res. Dev., 39(7); 1317-1321.
Yang, Y., Li, W., Zhang, Q., Zhang, L., Cheung, T., & Xiang, Y. T. (2020). Mental health services for older adults in China during the COVID-19 outbreak. Lancet Psych., 7(4); e19.
Yedemie, Y. Y. (2020). Mental health and psychosocial aspects of corona virus disease (COVID-19) outbreak in Ethiopia: psychological intervention for public psychological crisis. Int. J. Psychol. Brain Sci., 5, 56–60.
Young Journalists Club. (2021). Drop out of thousands of students from the corona/corner of the gift of the universal virus to the students. Available at the site: https://www.yjc.news
Zhao, Y., An, Y., Tan, X., and Li, X. (2020). Mental health and its influencing factors among self-isolating ordinary citizens during the beginning epidemic of COVID-19. J. Loss Trauma., 25; 580–593.
Zhong, B., Huang, Y., & Liu, Q. (2021). Mental health toll from the coronavirus: social media usage reveals Wuhan residents’ depression and secondary trauma in the COVID-19 outbreak. Comput. Hum. Behav., 114;106524.
تحقیقات اقتصاد و توسعه کشاورزی ایران
دوره 55، شماره 2
تیر 1403
صفحه 229-249

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