|
 
 |
| ORIGINAL ARTICLE |
|
| Year : 2020 | Volume
: 3
| Issue : 3 | Page : 83-88 |
|
Mental health problems and impact on youth minds during the COVID-19 outbreak: Cross-sectional (RED-COVID) survey
Deepak Nathiya1, Pratima Singh1, Supriya Suman1, Preeti Raj1, Balvir Singh Tomar2
1 Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Jaipur, Rajasthan, India
2 Department of Pediatric Gastroenterology, Institute of Gastroenterology, Hepatology and Transplant, Nims University, Jaipur, Rajasthan, India
| Date of Submission | 09-Jun-2020 |
| Date of Decision | 10-Jun-2020 |
| Date of Acceptance | 18-Jun-2020 |
| Date of Web Publication | 27-Jul-2020 |
Correspondence Address:
Pratima Singh
Department of Pharmacy Practice, Institute of Pharmacy, Nims University, Jaipur, Rajasthan
India
 Source of Support: None, Conflict of Interest: None  | 24 |
DOI: 10.4103/SHB.SHB_32_20
Introduction: The COVID-19 outbreak had impacted humankind with herculean force. Extensive Indian population which comprises youths are going through psychological resilience due to isolation, contact transmission, and economic crisis. Methods: A cross-sectional study among youth Indian citizens aged 15–30 years through social media platforms was conducted. The survey instrument consisted of demographic characteristics, assessment psychological impact by Depression, Anxiety and Stress-21 scale, and four items on COVID-19 stressors. Results: Out of 684 responses from red containment zones, 474 participants completed the study. Overall, moderate-to-severe stress, anxiety, and depression were 37.36%, 30.89%, and 24.63% in youths, respectively. Mental health outcomes were associated with female gender (odds ratio [OR] = 2.76, 95% confidence interval [CI]: 1.70–4.46), marital status (OR = 2.30, 95% CI: 1.47–3.88), residence in rural area (OR = 2.89, 95% CI: 1.74–4.78), and postgraduate qualification (OR = 1.49, 95% CI: 0.74–3.36). Economical stressors, physical illness, and changes in daily life were found to be positive predictors of mental health problems. Conclusion: Our finding suggested requirement psychological intervention targeting youth living in rural areas especially women through government schemes irrespective of educational status.
Keywords: Anxiety, Depression, Anxiety and Stress Scale-21, depression, severe acute respiratory syndrome, stress
How to cite this article:
Nathiya D, Singh P, Suman S, Raj P, Tomar BS. Mental health problems and impact on youth minds during the COVID-19 outbreak: Cross-sectional (RED-COVID) survey. Soc Health Behav 2020;3:83-8 |
How to cite this URL:
Nathiya D, Singh P, Suman S, Raj P, Tomar BS. Mental health problems and impact on youth minds during the COVID-19 outbreak: Cross-sectional (RED-COVID) survey. Soc Health Behav [serial online] 2020 [cited 2023 Dec 8];3:83-8. Available from: https://www.shbonweb.com/text.asp?2020/3/3/83/290979 |
| Introduction | |  |
Coronaviruses are positive-sense RNA viruses discovered in the 1960s, which also emerged as respiratory viruses with previous outbreaks: severe acute respiratory syndrome (SARS-CoV) in 2002, human coronavirus HCoV NL63 in 2004,[1] HKU1 in 2005,[2] the Middle East respiratory syndrome coronavirus in 2012, and now potential unprecedented threat bracing up with novel pathogen SARS-CoV-2. Originating from the cluster of cases in Wuhan, China, and exponentially spreading in more than 180 countries, COVID-19 has turned down into a global pandemic causing infection and high fatality rates.[3] Although the major paradigm is centralized on testing, treatment, and averting transmission, the extensive Indian population which comprises youths are going through psychological resilience due to ubiquitous isolation, contact transmission, and economic crisis, which is a grave concern. Systemic studies on COVID-19 and mental health outcomes are indicative of the indirect effects of the psychological and negative impact of general mental health without any stratification.[4] As of now, India is witnessing largest containment in history with 1.3 billion population under lockdown in the attempt to flatten the curve of COVID-19 cases, this awaits emerging epidemic so called mental health crisis.[5]
A cognitive model presented by Ehlers and Clark proposed individuals experiencing traumatic events lead to negative appraisals or its sequelae.[6] This model demonstrated youth being one of the most vulnerable population on the verge of post-traumatic psychological problems such as depression, anxiety, or psychological distress.[7]
A recent study showed that nearly 45% of youths of the USA reported a negative impact on mental health.[8] Another study from China suggested that 40.4% of the sampled youth were suffering from psychological problems.[9] As of now, India lacks with systemic nationwide study except a few narrative discussions and cases on psychological impact of COVID-19 outbreak on youth.[10]
Therefore, we aimed to assess the mental health of youth groups during COVID-19 with the purpose to serve as strong evidence and suggestion for formulation health care needs policymaking.
| Methods | | |
Study design
With a quantitative approach, this web-based, cross-sectional study was conducted using the snowball sampling technique to gather information regarding the mental impact of COVID-19 on young Indian residents. Data collection was done using Google Form survey. Invitation for participation was made through social media sources.
Study participants and dissemination
Due to nationwide lockdown in India, it was not feasible to conduct a systematic community-based survey, therefore we opted for an online survey. The study was conducted after almost 2 months of the quarantine, between May 23 and May 29, 2020. The developed survey was made accessible to ten participants for a pilot survey to understand the clarity and acceptance of the self-reported questionnaire. After revision to facilitate comprehension, the questionnaire was distributed through a URL link in both English and Hindi languages with a standardized description. WhatsApp and Facebook were selected to disseminate the questionnaire as both are the most popular social media platforms.[11]
Survey instrument and scoring
The survey consists of a questionnaire on the following three major themes:
(1) Demographics which consist of questions on sociodemographic information – gender, age, marital status, type of residence, education status, staying at home; (2) psychological impact assessment through Depression, Anxiety, and Stress Scale-21 (DASS-21); and (3) assessment of COVID-19-related stressors.[12] As the survey was offered in both English and Hindi languages, a backward translation approach was used in the conversion of English questions into Hindi, and discrepancies were resolved and verified with the help of bilingual researchers.[13]
Depression, Anxiety, and Stress Scale-21
Mental health was measured using DASS-21, which is a 21-item self-reported questionnaire developed by the University of New South Wales, Australia, based on the following three subscales – depression, anxiety, and stress. Each subscale consists of seven questions on a 4-point rating scale ranging from 0 (did not apply to them at all) to 3 (apply to them very much). In depression, scores above 9 were classified as mild depression (10–12), moderate depression (13–20), severe depression (21–27), and extremely severe depression (28–42). In anxiety scores above 7 were classified as mild anxiety (7–9), moderate anxiety (10–14), severe anxiety (15–19), and extremely severe anxiety (20–42). In Stress, scores above 10 were classified as mild stress (11–18), moderate stress (19–26), severe stress (27–34), and extremely severe stress (35–42).[14] The Cronbach's alpha coefficient of DASS-21 was 0.733.
Statistical analysis
Categorical variables were expressed in absolute values (percentage) and continuous variables were expressed in mean ± standard deviation (SD). Multivariate logistic regression analysis was performed to establish a relation between the participants and mental health status. Pearson's correlation coefficient (r) was used to evaluate the association between COVID-19 stressors and psychological impact. Data were analyzed using IBM SPSS version 22.0. (Released 2013. IBM SPSS Statistics for Windows, Version 22 Armonk, Chicago, Illinois: IBM Corp.). The statistical significant level was set at P < 0.05.
Ethical approval
The study was cleared by the Institutional Ethical Committee, Nims University, Rajasthan, Jaipur. The cover page includes electronic informed consent with a declaration of confidentiality and anonymity of the participants. The study was conducted following the Checklist for Reporting Results of Internet E-surveys guidelines.[15]
| Results | | |
Characteristics of the respondents
Among a total of 684 participants, 479 completed the questionnaires (83.4%), including 278 (58.04%) males and 201 (41.96%) females. Their age ranged from 15 to 30 years; most of the participants belonged to the age group of 20–25 years (47.0%). Majority (61.8%) of the respondents were single; 64.5% lived in urban areas, 33.8% were postgraduates, and 61.2% lived with a family [Table 1]. | Table 1: Demographic characteristics by Depression, Anxiety, Stress Scale-21, n=479
Click here to view |
Psychological impact and subscales
The psychological impact of COVID-19 in the outbreak, as measured by DASS-21, revealed a mean score of 12.49 (SD = 7.87). On depression subscale, 186 (38.3%) respondents were considered to have a normal score, whereas 175 (36.5%), 82 (17.1%), 25 (5.2%), and 11 (2.3%) participants were considered to have mild, moderate, severe, and extremely severe depression scores. On anxiety subscale, 174 (36.3%) participants were considered to have a normal score, whereas 158 (32.9%), 92 (19.2%), 32 (6.6%), and 24 (4.8%) respondents were considered to have mild, moderate, severe, and extremely severe anxiety scores. On stress subscale, 163 (34.0%) respondents were considered to have a normal score, whereas 138 (28.8%), 99 (20.4%), 47 (9.8%), and 33 (6.8%) participants were considered to have mild, moderate, severe, and extremely severe scores [Table 1].
Factors influencing psychological impact and demographic variables
Univariate analysis
[Table 1] reveals a significant association in the anxiety and stress DASS-21 subscales. Although age and education did not have any significant relation with any characteristics, the type of living area and the category of living with family had a significant association with depression, anxiety, and stress subscales.
Multivariate regression analysis
To determine the factors associated with psychological problems, multivariate logistic regression analysis was conducted. The results showed that participants who are female (odds ratio [OR] = 2.76, 95% confidence interval [CI]: 1.70-4.46), who are married (OR = 2.30, 95% CI: 1.47–3.88), who reside in rural areas (OR = 2.89, 95% CI: 1.74–4.78), and those who are not living with family (OR = 2.91, 95% CI: 1.77–4.79) were associated with stress DASS subscales, although participants with postgraduate qualification (OR = 1.43, 95% CI: 0.51–4.03) and those who are not living with family (OR = 1.42, 95% CI: 1.00–2.01) had an association with anxiety and depression DASS subscales [Table 2]. | Table 2: Multivariate analysis of association between sociodemographic characteristics by psychological impact
Click here to view |
Correlation between the COVID-19 stressors and psychological impact during the COVID-19 pandemic
Worries about the economic influence were positively related to the level of stress (r = 0.312, P < 0.001), whereas physical illness in COVID-19 was positively related to the level of anxiety (r = 0.269, P < 0.001) in youth participants. Moreover, COVID-19-related influence on daily life correlated with anxiety (r = 0.260, P < 0.002) and stress levels (r = 0.279, P < 0.001). In addition, the results suggested a negative association between social support and psychological problems in youths [Table 3]. | Table 3: Correlation analysis between COVID-19-related stressors and Depression, Anxiety, Stress Scale
Click here to view |
| Discussion | | |
COVID-19 is not only a public health emergency but also an unprecedented challenge to our economy and livelihood in peacetime, resulting in mental health sequelae. To our knowledge, our study is the first report on mental health outcomes among youths from India after 2 months of stringent lockdown on March 24, 2020, to terminate the spread of infection.[16] Our Ministry of Health and Family Welfare in collaboration with reputed national institutes is trying to mitigate the negative impact of COVID-19.[17]
Our study findings will assist government health officials and policymakers to target specific youth populations. This survey indicated that 24.63% of respondents had moderate-to-extremely severe depressive symptoms, 30.89% had moderate-to-extremely severe anxiety symptoms, and 37.36% respondents had moderate-to-extremely severe stress symptoms, which is consistent with a Chinese study on youth by Liang et al.[9] Adolescents and teenagers have different “psyche,” which makes them experience emotions more intensely. However, wearing a facemask is an effective method to reduce the spread of infection. Young people tend to be more sensitive to the perceived judgment of others. Having popular role models wearing masks might help in this case.[18] Lockdown and its sudden implication on future studies, ubiquitous social distancing affecting interpersonal relationships, and contagious infodemics on social media are acting as factors intensifying the psychological response of youths.[19],[20] Studies have suggested that poor couple interaction or poor relationship quality also affects their mental health, such as anxiety or depression symptoms during pregnancy. Therefore, behavior of husbands affects their wives' mental health and the reverse and vice versa. Hence, their support or positive behavior may mitigate their emotional distress or improve their mental health.[21] In India, over 32 million students were affected due to the closure of educational institutes which have disrupted their lifestyle and physical activity linking up with negative physical and mental health outcomes.[22] According to the study, the higher level of psychological distress may come from a greater level of problematic social media use. Problematic social media use in children with overweight requires additional attention during prolonged school suspension after the COVID-19 outbreak; further addiction or prolonged use of social media has been found to be a great risk of overweight. Unfortunately, such dependence on social media is not significantly increased in terms of time spent, this may trigger the development of psychological distress, especially for schoolchildren.[23] According to a survey by the Center of Monitoring the Indian Economy, 11% of youngsters from 20 to 24 years' age group had lost their jobs in April 2020 following a nationwide lockdown for the containment of infection.[24] In this survey, it was found that young females are prone to have psychological problems, which is consistent with previous studies demonstrating that acute psychological disorders are more prevalent in women than men. Evidence is suggestive that women have a more reactive neural network toward arousal response and fear in comparison to men.[25] Multivariate logistic regression analysis suggested that living in rural areas was associated with increased stress level; this might be explained due to multifactorial reasons which includes a deficit of awareness, inadequate level of nutrition, and statutory public health centers causing prolonged stress regulating psychoneuroimmunological release of pro-inflammatory cytokines.[26],[27] Living with family was a protective factor against psychological problems in the COVID-19 pandemic, similar to the findings in the existing research.[28] Consistent with our postulate, COVID-19-related stressors which include economical effect, physical illness, and impact of daily life were positively associated with mental health outcomes.[12] An unexpected finding was the nonstatistical significance of educational status and the statistical significance of marital status to youth respondents.[29] This could be due to the low sample size of participants, limiting the inference of the finding.[9] Using personal protective equipment at workplace, social distancing, periodic cleaning, and maintaining respiratory hygiene are some few ways out to reduce the spread of infection and thus stress among youth.[30] Further, mutual race discrimination, fear and stigma toward disease lead to negative control over disease, which need to address by designing an antistigma program and by increasing knowledge toward disease, which is ultimately helpful in reducing depression, anxiety, and stress among youth, especially on social media.[31] The Government of India along with the Press Information Bureau had started conferencing and broadcast live on a daily basis and had also setup a dedicated website and social media channels to inform the public about the COVID-19 epidemic and the disease control measures being undertaken. Through these actions, people receive not only correct and timely information but also supportive and encouraging messages, substantially lowering public fear and anxiety.[32]
Limitations
Due to inherent study design, sampling was restricted to social media platforms as a result, possibility of socially desirable response to mental health issues leading to the probability of bias in the study. Second, in comparison to the diversity of the Indian youth population, increased representativeness of the sample and longitudinal study nature will improve the generalizability of findings. Furthermore, mental health is a complex concept associated with innumerable factors such as fear which we failed to assess. Future studies using validated and specific scales such as FC19-S, with robust psychometric properties, will explain in-depth mental health outcomes. The FC19-S is only a 7-item scales and has the advantage of brevity and available in different language versions, which is useful to develop cross-cultural comparisons and is easy to administer.[33],[34],[35]
| Conclusion | | |
In summary, study demonstrated a significant psychological impact of COVID-19 outbreak on larger proportion of youth population in India which includes younger age, female gender, with higher education level, and being married. Living in urban areas and with families were considered as protective factors against this psychological impact. The mental health of youths has been positively affected by an economic stressor, physical illness, and changes in daily life. Though the Government of India is taking effective measures with the goal of self-reliance by funding to economic disrupted classes especially focused on youth, living in rural areas through government schemes by providing directory benefits for social and health security, comprising telepsychiatry consultations in collaboration with health care organizations. Government policymakers should develop, time-crisis oriented psychological intervention targeting grass root level, as India is developing country with high socio-economic diversity.
Financial support
Nil.
Conflicts of interest
There are no conflicts of interest.
| References | | |
| 1. | Galante O, Avni YS, Fuchs L, Ferster OA, Almog Y. Coronavirus NL63-induced adult respiratory distress syndrome. Am J Respir Crit Care Med 2016;193:100-1.  |
| 2. | Kanwar A, Selvaraju S, Esper F. Human coronavirus-HKU1 infection among adults in Cleveland, Ohio. Open Forum Infect Dis 2017;4:of×052. |
| 3. | |
| 4. | Vindegaard N, Eriksen Benros M. COVID-19 pandemic and mental health consequences: Systematic review of the current evidence. Brain Behav Immun 2020. pii: S0889-1591 (20):30954-55. |
| 5. | Reynolds DL, Garay JR, Deamond SL, Moran MK, Gold W, Styra R. Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiol Infect 2008;136:997-1007. |
| 6. | Ehlers A, Clark DM. A cognitive model of posttraumatic stress disorder. Behav Res Ther 2000;38:319-45. |
| 7. | Arslan G, Yıldırım M, Tanhan A, Buluş M, Allen KA. Coronavirus stress, optimism-pessimism, psychological inflexibility, and psychological health: Psychometric properties of the coronavirus stress measure. Int J Ment Health Addict 2020;4:1-17. |
| 8. | |
| 9. | Liang L, Ren H, Cao R, Hu Y, Qin Z, Li C, et al. The Effect of COVID-19 on Youth Mental Health. Psychiatr Q 2020;17:15-54. |
| 10. | Banerjee D. The COVID-19 outbreak: Crucial role the psychiatrists can play. Asian J Psychiatr 2020;50:102014. |
| 11. | |
| 12. | Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. The psychological impact of the COVID-19 epidemic on college students in China. Psychiatry Res 2020;287:112934. |
| 13. | Brislin R. Back-translation for cross-cultural research. J Cross Cultural Psychol 1970;1:185-16. |
| 14. | Lovibond SH, Lovibond PF. Manual for the Depression Anxiety Stress Scales. Sydney: Psychology Foundation; 1995. |
| 15. | Eysenbach G. Improving the quality of Web surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES). J Med Internet Res 2004;6:e34. |
| 16. | |
| 17. | |
| 18. | Rieger MO. To wear or not to wear? Factors influencing wearing face masks in Germany during the COVID-19 pandemic. Soc Health Behav 2020;3:50-4. [Full text] |
| 19. | Cornine A. Reducing nursing student anxiety in the clinical setting: An integrative review. Nurs Educ Perspect 2020;10:1097. |
| 20. | Xiao C. A novel approach of consultation on 2019 novel coronavirus (COVID-19)-related psychological and mental problems: Structured letter therapy. Psychiatry Investig 2020;17:175-6. |
| 21. | Ahorsu D, Imani V, Lin C, Timpka T, Broström A, Updegraff J, et al. Associations Between Fear of COVID-19, Mental Health, and Preventive Behaviours Across Pregnant Women and Husbands: An Actor-Partner Interdependence Modelling. Int J Ment Health Addiction. 2020;11:1-15. Available from: https://link.springer.com/article/10.1007%2 Fs11469-020-00340-x. [Last accessed on 2020 Jun 18]. |
| 22. | |
| 23. | Chen IH, Chen CY, Pakpour AH, Griffiths MD, Lin CY. Internetrelated behaviors and psychological distress among school children during COVID19 school suspension. J Am Acad Child Psy 2020. Available from: https://doi.org/10.21203/rs. 3.rs27322/v1. [Last accessed on 2020 Jun 18]. |
| 24. | |
| 25. | Liu N, Zhang F, Wei C, Jia Y, Shang Z, Sun L, et al. Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter. Psychiatry Res 2020;287:112921. |
| 26. | |
| 27. | Viljoen M, Panzer A. Proinflammatory cytokines: A common denominator in depression and somatic symptoms? Can J Psychiatry 2005;50:128. |
| 28. | Singh S, Badaya S. Health care in rural India: A lack between need and feed. South Asian J Cancer 2014;3:143-4. [ PUBMED] [Full text] |
| 29. | Woodgate RL, Tailor K, Tennent P, Wener P, Altman G. The experience of the self in Canadian youth living with anxiety: A qualitative study. PLoS One 2020;15:e0228193. |
| 30. | Shrivastava SR, Shrivastava PS. COVID-19 pandemic: Responding to the challenge of global shortage of personal protective equipment. Soc Health Behav 2020;3:70-1. [Full text] |
| 31. | Lin CY. Social reaction toward the 2019 novel corona virus (COVID-19). Soc Health Behav 2020;3:1-2. [Full text] |
| 32. | Lin MW, Cheng Y. Policy actions to alleviate psychosocial impacts of COVID-19 pandemic: Experiences from Taiwan. Soc Health Behav 2020;3:72-3. [Full text] |
| 33. | Ahorsu D, Lin C, Imani V, Saffari M, Griffiths M, Pakpour A. The fear of COVID-19 scale: Development and initial validation. Int J Ment Health Addict 2020;27:1-9. |
| 34. | Pakpour AH, Griffiths MD, Chang KC, Chen YP, Kuo YJ, Lin CY. Assessing the fear of COVID-19 among different populations: A response to Ransing et al. (2020) [published online ahead of print, 2020 Jun 5]. Brain Behav Immun 2020. pii: S0889-1591 (20) 31198-3. Available from: https://doi: 10.1016/j.bbi. 2020.06.006. [Last accessed on 2020 Jun 18]. |
| 35. | Pakpour AH, Griffiths MD, Lin CY. Assessing the psychological response to the COVID-19: A response to Bitan et al. “Fear of COVID-19 scale: Psychometric characteristics, reliability and validity in the Israeli population” [published online ahead of print, 2020 May 27]. Psychiatry Res 2020;290:113127. Available from: https://doi: 10.1016/j.psychres. 2020.113127. [Last accessed on 2020 Jun 18]. |
[Table 1], [Table 2], [Table 3]
| This article has been cited by | | 1 |
Validity and reliability of the Arabic Fear of COVID-19 Scale in Lebanese people during the pandemic |
|
| Hiba Zein, Marwa Summaka, Nour el hoda Saleh, Fatima Hamieh, Ibrahim Naim | | Mental Health, Religion & Culture. 2023; : 1 | | [Pubmed] | [DOI] | | | 2 |
Online Gratitude Interventions during COVID- 19 Pandemic on Youth: Randomized Trial |
|
| Monika Srivastava, Anindita Ghosh | | Journal of Evidence-Based Social Work. 2023; : 1 | | [Pubmed] | [DOI] | | | 3 |
Stress levels, coping strategies, and mental health literacy among secondary school students in Kenya |
|
| Lilian Ayiro, Bernard Lushya Misigo, Rodgers Dingili | | Frontiers in Education. 2023; 8 | | [Pubmed] | [DOI] | | | 4 |
Effects of Lockdown on Sleep Pattern in the General Population during COVID-19 Pandemic |
|
| Kshirod K Mishra, Ahmed Mushtaq Reshamvala, Harshal Sathe, Vrushti Bharat Patil | | Indian Journal of Sleep Medicine. 2023; 18(1): 1 | | [Pubmed] | [DOI] | | | 5 |
An Integrated Model of Compliance with COVID-19 Prescriptions: Instrumental, Normative, and Affective Factors Associated with Health-Protective Behaviors |
|
| Alessia Rochira, Flora Gatti, Gabriele Prati, Terri Mannarini, Angela Fedi, Fortuna Procentese, Cinzia Albanesi, Irene Barbieri, Christian Compare, Silvia Gattino, Antonella Guarino, Daniela Marzana, Iana Tzankova, Giovanni Aresi | | International Journal of Behavioral Medicine. 2022; | | [Pubmed] | [DOI] | | | 6 |
A qualitative study of adolescents and young adults’ experience and perceived needs during the first wave of the COVID-19 pandemic |
|
| Maxime Morsa, Samuel Sassine, Xin Yu Yang, Rui Ning Gong, Pouneh Amir-Yazdani, Tchogna Alexandra Sonia, Matthew Gibson, Olivier Drouin, Nicholas Chadi, Prévost Jantchou | | Archives de Pédiatrie. 2022; | | [Pubmed] | [DOI] | | | 7 |
Impact of COVID-19 Pandemic on Adolescents and Young Adults Living With Type 2 Diabetes |
|
| Marylin Carino, Zoe Quill, Melissa Gabbs, Elizabeth Sellers, Jill Hamilton, Teresa Pinto, Mary Jetha, Josephine Ho, Onalee Garcia Alecio, Allison Dart, Brandy Wicklow | | Canadian Journal of Diabetes. 2022; | | [Pubmed] | [DOI] | | | 8 |
The life with corona survey |
|
| Wolfgang Stojetz, Neil T.N. Ferguson, Ghassan Baliki, Oscar Díaz Botía, Jan Elfes, Damir Esenaliev, Hanna Freudenreich, Anke Koebach, Liliana Lopes de Abreau, Laura Peitz, Ani Todua, Monika Schreiner, Anke Hoeffler, Patrícia Justino, Tilman Brück | | Social Science & Medicine. 2022; : 115109 | | [Pubmed] | [DOI] | | | 9 |
Egitim Fakültesi Ögrencilerinin Pandemi ve Uzaktan Egitim Sürecine Iliskin Görüslerinin Degerlendirilmesi: Usak Üniversitesi Örnegi |
|
| Nidan OYMAN BOZKURT | | Inönü Üniversitesi Egitim Fakültesi Dergisi. 2022; | | [Pubmed] | [DOI] | | | 10 |
Youth mental health and/or addiction concerns and service needs during the COVID-19 pandemic: a qualitative exploration of caregiver experiences and perspectives |
|
| Roula Markoulakis, Andreina Da Silva, Sugy Kodeeswaran, Anthony Levitt | | Child and Adolescent Psychiatry and Mental Health. 2022; 16(1) | | [Pubmed] | [DOI] | | | 11 |
The mental health of adolescent girls from a tribal region of Central Rural India during the COVID-19 pandemic – A cross-sectional study to determine the role of gender disadvantage |
|
| Monica Shrivastav, Saisha Vasudeva, Tanvi Gulati, Bharati Sahu, Abhishek Saraswat, Neha R. Abraham, Sarita Anand, Rika S. Xaxa, Jagjit Minj, Mahendra Prajapati, Prabha S. Chandra, Vani Sethi | | Journal of Neurosciences in Rural Practice. 2022; 0: 1 | | [Pubmed] | [DOI] | | | 12 |
Prevalence of anxiety and depressive symptoms during COVID-19 pandemic among the general population in India: A systematic review and meta-analysis |
|
| Suresh K. Sharma, Jaison Joseph, Biji P. Varkey, Manju Dhandapani, Abin Varghese, Sunita Sharma, T. K. Ajesh Kumar, Sarika Kaririya, Elezebeth Mathews | | Journal of Neurosciences in Rural Practice. 2022; 13: 608 | | [Pubmed] | [DOI] | | | 13 |
Treatment of eating disorders in adolescents during the COVID-19 pandemic: a case series |
|
| Serur Yaffa,Enoch-Levy Adi,Pessach Itai,Joffe-Milstein Marit,Gothelf Doron,Stein Daniel | | Journal of Eating Disorders. 2021; 9(1) | | [Pubmed] | [DOI] | | | 14 |
The Covid-19 pandemic and mental health of first-year college students: Examining the effect of Covid-19 stressors using longitudinal data |
|
| Jane Cooley Fruehwirth,Siddhartha Biswas,Krista M. Perreira,Chung-Ying Lin | | PLOS ONE. 2021; 16(3): e0247999 | | [Pubmed] | [DOI] | | | 15 |
Willingness of Taiwan’s Healthcare Workers and Outpatients to Vaccinate against COVID-19 during a Period without Community Outbreaks |
|
| Shikha Kukreti,Mei-Yun Lu,Yi-Hsuan Lin,Carol Strong,Chung-Ying Lin,Nai-Ying Ko,Po-Lin Chen,Wen-Chien Ko | | Vaccines. 2021; 9(3): 246 | | [Pubmed] | [DOI] | | | 16 |
Exploring the Relationship Between Social Ties and Resilience From Evolutionary Framework |
|
| Sayli Agashe,Sunil Kumar,Rishabh Rai | | Frontiers in Human Dynamics. 2021; 3 | | [Pubmed] | [DOI] | | | 17 |
The mental well-being and coping strategies of Canadian adolescents during the COVID-19 pandemic: a qualitative, cross-sectional study |
|
| Kendra Nelson Ferguson, Stephanie E. Coen, Danielle Tobin, Gina Martin, Jamie A. Seabrook, Jason A. Gilliland | | CMAJ Open. 2021; 9(4): E1013 | | [Pubmed] | [DOI] | | | 18 |
Problematic internet-related behaviors mediate the associations between levels of internet engagement and distress among schoolchildren during COVID-19 lockdown: A longitudinal structural equation modeling study |
|
| I-Hua Chen, Chao-Ying Chen, Amir H. Pakpour, Mark D. Griffiths, Chung-Ying Lin, Xu-Dong Li, Hector W. H. Tsang | | Journal of Behavioral Addictions. 2021; 10(1): 135 | | [Pubmed] | [DOI] | | | 19 |
The effects of home confinement on physical activity level and mental status in professional football players during COVID-19 outbreak |
|
| Gürhan Dönmez,Ömer Özkan,Yigitcan Menderes,Serife Seyma Torgutalp,Levend Karaçoban,Nevzad Denerel,Savas Kudas | | The Physician and Sportsmedicine. 2021; : 1 | | [Pubmed] | [DOI] | | | 20 |
Mediating role of positivity in the relationship between state anxiety and problematic social media use during the COVID-19 pandemic |
|
| Ibrahim Arpaci,Kasim Karatas,Fettah Kiran,Ismail Kusci,Ahmet Topcu | | Death Studies. 2021; : 1 | | [Pubmed] | [DOI] | | | 21 |
Psychological distress experienced by self-quarantined undergraduate university students in Lebanon during the COVID-19 outbreak |
|
| Ghida Kassir,Samer El Hayek,Hussein Zalzale,Laura Orsolini,Maya Bizri | | International Journal of Psychiatry in Clinical Practice. 2021; : 1 | | [Pubmed] | [DOI] | | | 22 |
Factors associated with anxiety and quality of life of the Wuhan populace during the COVID-19 pandemic |
|
| Cheng Liu,Ya-Chen Lee,Ying-Lien Lin,Shang-Yu Yang | | Stress and Health. 2021; | | [Pubmed] | [DOI] | | | 23 |
The Japanese version of the Fear of COVID-19 scale: Reliability, validity, and relation to coping behavior |
|
| Koubun Wakashima,Keigo Asai,Daisuke Kobayashi,Kohei Koiwa,Saeko Kamoshida,Mayumi Sakuraba,Ali Montazeri | | PLOS ONE. 2020; 15(11): e0241958 | | [Pubmed] | [DOI] | | | 24 |
Correspondence: Reply to the letter to the Editor on the editorial “Epidemics, quarantine and mental health” |
|
| Kaushik Chatterjee,V.S. Chauhan | | Medical Journal Armed Forces India. 2020; | | [Pubmed] | [DOI] | |
|
 |
|
|
|
Search Pubmed for