Relationships between Psychopathology, Psychological Process Variables, and Sociodemographic Variables and Comparison of Quarantined and Non-Quarantined Groups of Malaysian University Students in the COVID-19 Pandemic
Abstract
:1. Introduction
- to ascertain relationships between sociodemographic variables and psychopathology in a group of Malaysian students;
- to further elucidate the relationships between psychological process variables and levels of psychopathology in a subgroup within a quarantined population.
2. Materials and Methods
2.1. Participants
2.2. Procedure
2.3. Measures
2.4. Data Analysis
3. Results
3.1. Analysis of Stage 1
3.1.1. Descriptive Statistics for Stage 1
3.1.2. Bivariate Data Analyses
3.1.3. Multiple Regression Analyses
3.2. Analysis of Stage 2
3.2.1. Bivariate Analyses
3.2.2. Correlations between Psychological Process Variables and Psychopathology
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviation
MCO | Movement Control Order |
PM | Psychological Mindedness |
PF | Psychological Flexibility |
BIPM | Balanced Index of Psychological Mindedness |
MAAS | Mindful Attention Awareness Scale |
AAQ-II | Acceptance and Action Questionnaire-II |
UMS | Universiti Malaysia Sabah |
CBT | Cognitive Behavioral Therapy |
Appendix A
Checklist Item | Explanation |
Describe survey design | The target population is university undergraduates and the sample frame is students who are locked down in the university. The sample is a convenience sample. |
IRB approval | The study has been approved by an IRB as mentioned in the article. |
Informed consent | Informed consent was obtained in the Google Forms document, and the process explained. |
Data protection | The Google Forms document was password protected with only the researchers able to access its data. |
Development and testing | The usability and technical functionality of the electronic questionnaire had been tested before fielding the questionnaire. The survey instruments had been tested before in paper format with good statistical properties. |
Open survey versus closed survey | This was an open survey. |
Contact mode | The initial contact with the potential participants was made on the Internet. |
Advertising the survey | The survey was announced through electronic mailing lists on WhatsApp groups which were participated in by all students in the university lockdown, due to restrictions of movement. |
Web/E-mail | This was a survey recruited through a link in a WhatsApp group. |
Context | The WhatsApp group with the survey was one that was |
Mandatory/voluntary | It was a voluntary survey. |
Incentives | No incentives were offered. |
Time/Date | The data was collected over a month from 1–30 April 2020 |
Randomization of items or questionnaires | Items were randomized to prevent bias. |
Adaptive questioning | Adaptive questioning was not used as there was insufficient time to validate a truncated version of the questionnaire in time. |
Number of Items | Each questionnaire was on a separate page, so the maximum number of questions on a page was 21. |
Number of screens (pages) | It was distributed over 4 pages. |
Completeness check | Completeness checks were performed through allowing submission only after mandatory answering of all questions, and multiple entries from the same individual were prevented via mandatory email address registration. |
Review step | Respondents were not able to review and change their answers due to the Google Forms format. |
Unique site visitor | We determined unique site visitors based on email addresses furnished, and all non-unique email addresses were parsed out. |
View rate (Ratio of unique survey visitors/unique site visitors) | We were not able to calculate a view rate as we did not have a website to visit, just a Google Form link. |
Participation rate (Ratio of unique visitors who agreed to participate/unique first survey page visitors) | Again, as this was done through Google Forms, which does not tabulate the number of visitors who agreed to participate on the first page, but only tabulates form completion, we were unable to assess this. |
Completion rate (Ratio of users who finished the survey/users who agreed to participate) | Similarly, as this was done through Google Forms, which does not tabulate the number of visitors who agreed to participate on the first page, but only tabulates form completion, we were unable to assess this. |
Cookies used | Cookies were not used to assign a unique user identifier to each client computer. |
IP check | The IP address of the client computer was not used to identify potential duplicate entries from the same user. |
Log file analysis | No other techniques to analyze the log file for identification of multiple entries were used. |
Registration | Not relevant |
Handling of incomplete questionnaires | We were only able to analyse completed questionnaires as Google Forms did not store incomplete questionnaires. |
Questionnaires submitted with an atypical timestamp | We were not able to measure starting and ending timestamps in Google Forms so were unable to assess for atypical timestamps |
Statistical correction | Methods such as weighting of items or propensity scores were not used to adjust for the non-representative sample. |
References
- Qiu, J.; Shen, B.; Zhao, M.; Wang, Z.; Xie, B.; Xu, Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: Implications and policy recommendations. Gen. Psychiatry 2020, 33, e100213. [Google Scholar] [CrossRef] [Green Version]
- Marazziti, D.; Stahl, S.M. The relevance of COVID-19 pandemic to psychiatry. World Psychiatry 2020, 19, 261. [Google Scholar] [CrossRef] [PubMed]
- Ghebreyesus, T.A. Addressing mental health needs: An integral part of COVID-19 response. World Psychiatry 2020, 19, 129–130. [Google Scholar] [CrossRef] [PubMed]
- Pedrelli, P.; Nyer, M.; Yeung, A.; Zulauf, C.; Wilens, T. College students: Mental health problems and treatment considerations. Acad. Psychiatry 2015, 39, 503–511. [Google Scholar] [CrossRef] [Green Version]
- Wyatt, T.; Oswalt, S.B. Comparing mental health issues among undergraduate and graduate students. Am. J. Health Educ. 2013, 44, 96–107. [Google Scholar] [CrossRef]
- Mukhsam, M.H.; Jeffree, M.S.; Pang, N.T.P.; Rahim, S.S.S.A.; Omar, A.; Abdullah, M.S.; Lukman, K.A.; Giloi, N.; Salvaraji, L.; Karim, M.R.A.; et al. A University-Wide Preparedness Effort in the Alert Phase of COVID-19 Incorporating Community Mental Health and Task-Shifting Strategies: Experience from a Bornean Institute of Higher Learning. Am. J. Trop. Med. Hyg. 2020, 103, 1201–1203. [Google Scholar] [CrossRef] [PubMed]
- Salvaraji, L.; Sharizman Syed Abdul Rahim, S.; Saffree Jeffree, M.; Omar, A.; Tze Ping Pang, N.; Ahmedy, F.; Hayati, F.; Tat Yeap, B.; Giloi, N.; Saupin, S.; et al. The importance of high index of suspicion and immediate containment of suspected COVID-19 cases in institute of higher education Sabah, Malaysia Borneo. Malays. J. Public Health Med. 2020, 20, 74–83. [Google Scholar] [CrossRef]
- Musiun, A.; Lukman, K.A.; Jeffree, M.S.; Robinson, F.; Hassan, M.R.; Ghazi, H.; Al-Abed, A.-A.A.A.; Tha, N.O.; Swe; Shamsudin, S.B. Prevalence of stress and its associated factors among medical students in Sabah, Malaysia Borneo. Malays. J. Public Health Med. 2019, 19, 116–125. [Google Scholar] [CrossRef]
- Pang, N.; Imon, G.N.; Johoniki, E.; Kassim, M.M.; Omar, A.; Rahim, S.S.A.; Hayati, F.; Jeffree, M.; Ng, J. Fear of COVID-19 and COVID-19 Stress and Association with Sociodemographic and Psychological Process Factors in Cases under Surveillance in a Frontline Worker Population in Borneo. Int. J. Environ. Res. Public Health 2021, 18, 7210. [Google Scholar] [CrossRef]
- Grant, A.M. Rethinking Psychological Mindedness: Metacognition, Self-reflection, and Insight. Behav. Chang. 2001, 18, 8–17. [Google Scholar] [CrossRef]
- Trudeau, K.J.; Reich, R. Correlates of psychological mindedness. Pers. Individ. Differ. 1995, 19, 699–704. [Google Scholar] [CrossRef]
- Nyklíček, I.; Majoor, D.; Schalken, P.A.A.M. Psychological mindedness and symptom reduction after psychotherapy in a heterogeneous psychiatric sample. Compr. Psychiatry 2010, 51, 492–496. [Google Scholar] [CrossRef]
- Zvolensky, M.J.; Solomon, S.E.; McLeish, A.C.; Cassidy, D.; Bernstein, A.; Bowman, C.J.; Yartz, A.R. Incremental validity of mindfulness-based attention in relation to the concurrent prediction of anxiety and depressive symptomatology and perceptions of health. Cogn Behav Ther. 2006, 35, 148–158. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- MacKillop, J.; Anderson, E.J. Further psychometric validation of the mindful attention awareness scale (MAAS). J. Psychopathol. Behav. Assess. 2007, 29, 289–293. [Google Scholar] [CrossRef]
- Hayes, S.C.; Strosahl, K.D.; Wilson, K.G. Acceptance and Commitment Therapy: The Process and Practice of Mindful Change; Guilford Press: New York, NY, USA, 2011. [Google Scholar]
- Kashdan, T.B.; Rottenberg, J. Psychological flexibility as a fundamental aspect of health. Clin. Psychol. Rev. 2010, 30, 865–878. [Google Scholar] [CrossRef] [Green Version]
- Carvalho, S.; Martins, C.P.; Almeida, H.S.; Silva, F. The Evolution of Cognitive Behavioural Therapy—The Third Generation and Its Effectiveness. Eur. Psychiatry 2017, 41, s773–s774. [Google Scholar] [CrossRef]
- Dimidjian, S.; Arch, J.J.; Schneider, R.L.; Desormeau, P.; Felder, J.N.; Segal, Z.V. Considering Meta-Analysis, Meaning, and Metaphor: A Systematic Review and Critical Examination of “Third Wave” Cognitive and Behavioral Therapies. Behav. Ther. 2016, 47, 886–905. [Google Scholar] [CrossRef]
- Silberstein, L.R.; Tirch, D.; Leahy, R.L.; McGinn, L. Mindfulness, psychological flexibility and emotional schemas. Int. J. Cogn. Ther. 2012, 5, 406–419. [Google Scholar] [CrossRef]
- Appelbaum, S.A. Psychological mindedness: Word, concept and essence. Int. J. Psychoanal. 1973, 54, 35–46. [Google Scholar]
- Bond, F.W.; Flaxman, P.E.; van Veldhoven, M.J.P.M.; Biron, M. The Impact of Psychological Flexibility and Acceptance and Commitment Therapy (act) on Health and Productivity at Work. In Contemporary Occupational Health Psychology: Global Perspectives on Research and Practice; Houdmont, J., Leka, S., Eds.; Wiley-Blackwell: Chichester, UK, 2010; Volume 1. [Google Scholar]
- Mohd Amiruddin, M.K.; Nicholas Pang, T.P.; Wendy, D.S.; Wen, L.T.; Abbylen, M.E. Validation of Bahasa Malaysia Version of Psychological Mindedness in a University Population. IIUM Med. J. Malays. 2021, 20, 81–88. [Google Scholar]
- Giromini, L.; Brusadelli, E.; Di Noto, B.; Grasso, R.; Lang, M. Measuring psychological mindedness: Validity, reliability, and relationship with psychopathology of an Italian version of the Balanced Index of Psychological Mindedness. Psychoanal. Psychother. 2015, 29, 70–87. [Google Scholar] [CrossRef]
- Conversano, C.; Di Giuseppe, M.; Miccoli, M.; Ciacchini, R.; Gemignani, A.; Orrù, G. Mindfulness, age and gender as protective factors against psychological distress during COVID-19 pandemic. Front. Psychol. 2020, 11. [Google Scholar] [CrossRef]
- Reiter, K.; Ventura, J.; Lovell, D.; Augustine, D.; Barragan, M.; Blair, T.; Chesnut, K.; Dashtgard, P.; Gonzalez, G.; Pifer, N.; et al. Psychological Distress in Solitary Confinement: Symptoms, Severity, and Prevalence in the United States, 2017–2018. Am. J. Public Health. 2020, 110, S56–S62. [Google Scholar] [CrossRef] [PubMed]
- Haney, C. Mental health issues in long-term solitary and “supermax” confinement. Crime Delinq. 2003, 49, 124–156. [Google Scholar] [CrossRef] [Green Version]
- Cloyes, K.G.; Lovell, D.; Allen, D.G.; Rhodes, L.A. Assessment of psychosocial impairment in a supermaximum security unit sample. Crim. Justice Behav. 2006, 33, 760–781. [Google Scholar] [CrossRef]
- Pang, N.T.P.; Kamu, A.; Hambali, N.L.B.; Mun, H.C.; Kassim, M.A.; Mohamed, N.H.; Ayu, F.; Rahim, S.S.S.A.; Omar, A.; Jeffree, M.S. Malay Version of the Fear of COVID-19 Scale: Validity and Reliability. Int. J. Ment. Health Addict. 2020, 3, 1–10. [Google Scholar]
- Kassim, M.A.M.; Ayu, F.; Kamu, A.; Pang, N.T.P.; Ho, C.M.; Algristian, H.; Sahri, M.; Hambali, N.L.B.; Omar, A. Indonesian Version of the Fear of COVID-19 Scale: Validity and Reliability. Borneo Epidemiol. J. 2020, 1, 124–135. Available online: https://jurcon.ums.edu.my/ojums/index.php/bej/article/view/2755/1805 (accessed on 10 July 2021).
- Kassim, M.A.M.; Pang, N.T.P.; Mohamed, N.H.; Kamu, A.; Ho, C.M.; Ayu, F.; Rahim, S.S.S.A.; Omar, A.; Jeffree, M.S. Relationship Between Fear of COVID-19, Psychopathology and Sociodemographic Variables in Malaysian Population. Int. J. Ment. Health Addict. 2021, 1–8. [Google Scholar] [CrossRef]
- Lovibond, P.F.; Lovibond, S.H. The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav. Res. Ther. 1995, 33, 335–343. [Google Scholar] [CrossRef]
- Ramli, M.; Rosnani, S.; Aidil Faszrul, A.R. Psychometric profile of malaysian version of the Depressive, Anxiety and Stress Scale 42-item (DASS-42). Malays. J. Psychiatry 2012, 21, 1–5. [Google Scholar]
- Musa, R.; Fadzil, M.A.; Zain, Z. Translation, validation and psychometric properties of Bahasa Malaysia version of the Depression Anxiety and Stress Scales (DASS). ASEAN J. Psychiatry 2007, 8, 82–89. [Google Scholar]
- Nykliček, I.; Denollet, J. Development and evaluation of the Balanced Index of Psychological Mindedness (BIPM). Psychol. Assess. 2009, 21, 32–44. [Google Scholar] [CrossRef]
- Nykliček, I.; Poot, J.C.; van Opstal, J. Psychological mindedness in relation to personality and coping in a sample of young adult psychiatric patients. J. Clin. Psychol. 2010, 66, 34–45. [Google Scholar] [CrossRef]
- Bond, F.W.; Hayes, S.; Baer, R.A.; Carpenter, K.M.; Guenole, N.; Orcutt, H.; Waltz, T.; Zettle, R.D. Preliminary psychometric properties of the Acceptance and Action Questionnaire--II: A revised measure of psychological inflexibility and experiential avoidance. Behav. Ther. 2011, 42, 676–688. [Google Scholar] [CrossRef] [Green Version]
- Shari, N.I.; Zainal, N.Z.; Guan, N.C.; Ahmad Sabki, Z.; Yahaya, N.A. Psychometric properties of the acceptance and action questionnaire (AAQ II) Malay version in cancer patients. PLoS ONE 2019, 14, 1–12. [Google Scholar] [CrossRef] [Green Version]
- Zainal, N.Z.; Nor-Aziyan, Y.; Subramaniam, P. Psychometric properties of the Malay-translated Mindfulness, Attention and Awareness Scale (MAAS) in a group of nursing students in Malaysia. Malays. J. Psychiatry 2015, 24, 33–41. [Google Scholar]
- Kline, R.B.; Santor, D.A. Principles & practice of structural equation modelling. Can. Psychol. 1999, 40, 381. [Google Scholar]
- Zulkifli, N.A.; Sivapatham, S.; Guan, N.C. Brief Psychotic Disorder in Relation to Coronavirus, COVID-19 Outbreaks: A Case Report. Malays. J. Psychiatry. 2020, 29, 1–6. [Google Scholar]
- Abdullah, J.M.; Ismail, W.F.N.W.A.N.; Mohamad, I.; Ab Razak, A.; Harun, A.; Musa, K.I.; Lee, Y.Y. A Critical Appraisal of COVID-19 in Malaysia and Beyond. Malays. J. Med Sci. 2020, 27, 1–9. [Google Scholar] [CrossRef]
- Guan, N.C.; Sue-Yin, L.; Shiang, L.X. Panicdemic in Light of Pandemic. Malays. J. Psychiatry 2020, 29, 1–2. [Google Scholar]
- Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; Ho, C.S.; Ho, R.C. 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 Health 2020, 17, 1729. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, C.; Pan, R.; Wan, X.; Tan, Y.; Xu, L.; McIntyre, R.S.; Choo, F.N.; Tran, B.; Ho, R.; Sharma, V.; et al. A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain Behav. Immun. 2020, 87, 40–48. [Google Scholar] [CrossRef]
- Tyrer, P. COVID-19 health anxiety. World Psychiatry 2020, 19, 307–308. [Google Scholar] [CrossRef] [PubMed]
- Pang, N.T.P.; Kamu, A.; Kassim, M.A.M.; Ho, C.M. Monitoring the impact of Movement Control Order (MCO) in flattening the cummulative daily cases curve of Covid-19 in Malaysia: A generalized logistic growth modeling approach. Infect. Dis. Model. 2021, 6, 898–908. [Google Scholar] [PubMed]
- Pang, N.T.P.; Kamu, A.; Mohd Kassim, M.A.; Chong Mun, H. Analyses of the Effectiveness of Movement Control Order (MCO) in Reducing the COVID-19 Confirmed Cases in Malaysia. J. Health Transl. Med. 2021, 1, 16–27. [Google Scholar]
- Kassim, M.A.M.; Pang, N.T.P.; Kamu, A.; Arslan, G.; Mohamed, N.H.; Zainudin, S.P.; Ayu, F.; Ho, C.M. Psychometric Properties of the Coronavirus Stress Measure with Malaysian Young Adults: Association with Psychological Inflexibility and Psychological Distress. Int. J. Ment. Health Addict. 2021, 1–17. [Google Scholar] [CrossRef]
- Wang, C.; Zhao, H. The Impact of COVID-19 on Anxiety in Chinese University Students. Front. Psychol. 2020, 11, 1168. [Google Scholar] [CrossRef]
- Mudenda, S.; Zulu, A.; Phiri, M.N.; Ngazimbi, M.; Mufwambi, W.; Kasanga, M.; Banda, M. Impact of Coronavirus Disease 2019 (COVID-19) on College and University Students: A Global Health and Education Problem. Aquademia 2020, 4, ep20026. [Google Scholar] [CrossRef]
- Wathelet, M.; Duhem, S.; Vaiva, G.; Baubet, T.; Habran, E.; Veerapa, E.; Debien, C.; Molenda, S.; Horn, M.; Grandgenèvre, P.; et al. Factors Associated with Mental Health Disorders Among University Students in France Confined During the COVID-19 Pandemic. JAMA Netw. Open 2020, 3, e2025591. [Google Scholar] [CrossRef]
- Van Nguyen, D.; Pham, G.H.; Nguyen, D.N. Impact of the Covid-19 pandemic on perceptions and behaviors of university students in Vietnam. Data Brief 2020, 31, 105880. [Google Scholar] [CrossRef]
- Odriozola-González, P.; Planchuelo-Gómez, Á.; Irurtia, M.J.; de Luis-García, R. Psychological effects of the COVID-19 outbreak and lockdown among students and workers of a Spanish university. Psychiatry Res. 2020, 290, 113108. [Google Scholar] [CrossRef]
- Padrón, I.; Fraga, I.; Vieitez, L.; Montes, C.; Romero, E. A Study on the Psychological Wound of COVID-19 in University Students. Front. Psychol. 2021, 12, 589927. [Google Scholar] [CrossRef]
- Akhtarul Islam, M.; Barna, S.D.; Raihan, H.; Nafiul Alam Khan, M.; Tanvir Hossain, M. Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PLoS ONE 2020, 15, e0238162. [Google Scholar]
- Browning, M.H.E.M.; Larson, L.R.; Sharaievska, I.; Rigolon, A.; McAnirlin, O.; Mullenbach, L.; Cloutier, S.; Vu, T.M.; Thomsen, J.; Reigner, N.; et al. Psychological impacts from COVID-19 among university students: Risk factors across seven states in the United States. PLoS ONE 2021, 16, e0245327. [Google Scholar] [CrossRef] [PubMed]
- Traunmüller, C.; Stefitz, R.; Gaisbachgrabner, K.; Schwerdtfeger, A. Psychological correlates of COVID-19 pandemic in the Austrian population. BMC Public Health 2020, 20, 1395. [Google Scholar] [CrossRef] [PubMed]
- Juchnowicz, D.; Baj, J.; Forma, A.; Karakuła, K.; Sitarz, E.; Bogucki, J.; Karakula-Juchnowicz, H. The Outbreak of SARS-CoV-2 Pandemic and the Well-Being of Polish Students: The Risk Factors of the Emotional Distress during COVID-19 Lockdown. J. Clin. Med. 2021, 10, 944. [Google Scholar] [CrossRef] [PubMed]
- Fernandes, A.J. Impact of COVID-19: University Students’ Perspective. Int. J. Nutr. Pharmacol. Neurol. Diseases. 2020, 10, 168. [Google Scholar]
- Mohd Kassim, M.A.; Pang, N.; James, S. COVID-19 Pandemic—A Review and Assessing Higher Education Institution Undergraduate Student’s Mental Health. Borneo Epidemiol. J. 2020, 1, 96–103. Available online: https://jurcon.ums.edu.my/ojums/index.php/bej/article/view/2746 (accessed on 11 July 2021).
- Seney, M.L.; Sibille, E. Sex differences in mood disorders: Perspectives from humans and rodent models. Biol. Sex Differ. 2014, 5, 17. [Google Scholar] [CrossRef] [Green Version]
- Albert, P.R. Why is depression more prevalent in women? J. Psychiatry Neurosci. JPN 2015, 40, 219–221. [Google Scholar] [CrossRef]
- Bangasser, D.A.; Valentino, R.J. Sex differences in stress-related psychiatric disorders: Neurobiological perspectives. Front. Neuroendocr. 2014, 35, 303–319. [Google Scholar] [CrossRef] [Green Version]
- McLean, C.P.; Asnaani, A.; Litz, B.T.; Hofmann, S.G. Gender differences in anxiety disorders: Prevalence, course of illness, comorbidity and burden of illness. J. Psychiatr. Res. 2011, 45, 1027–1035. [Google Scholar] [CrossRef] [Green Version]
- Hawryluck, L.; Gold, W.L.; Robinson, S.; Pogorski, S.; Galea, S.; Styra, R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg. Infect. Dis. 2004, 10, 1206–1212. [Google Scholar] [CrossRef]
- Reynolds, D.L.; Garay, J.R.; Deamond, S.L.; Moran, M.K.; Gold, W.; Styra, R. Understanding, compliance and psychological impact of the SARS quarantine experience. Epidemiol. Infect. 2008, 136, 997–1007. [Google Scholar] [CrossRef] [PubMed]
- Lee, S.M.; Kang, W.S.; Cho, A.-R.; Kim, T.; Park, J.K. Psychological impact of the 2015 MERS outbreak on hospital workers and quarantined hemodialysis patients. Compr. Psychiatry. 2018, 87, 123–127. [Google Scholar] [CrossRef]
- Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef] [Green Version]
- Beitel, M.; Ferrer, E.; Cecero, J.J. Psychological mindedness and cognitive style. J. Clin. Psychol. 2004, 60, 567–582. [Google Scholar] [CrossRef] [PubMed]
- Germer, C.; Siegel, R.D.; Fulton, P.R. Mindfulness and Psychotherapy; Guilford Publications: New York, NY, USA, 2016. [Google Scholar]
- Ho, C.S.H.; Chee, C.Y.; Ho, R.C. Mental health strategies to combat the psychological impact of COVID-19 beyond paranoia and panic. Ann. Acad. Med. Singapore 2020, 49, 1–3. [Google Scholar]
- Boylan, M.B. Psychological Mindedness as a Predictor of Treatment Outcome with Depressed Adolescents. Ph.D. Thesis, University of Pittsburgh, Pittsburgh, PA, USA, 2006. [Google Scholar]
- Pang, N.T.P.; Tio, V.C.S.; Bhupendar Singh, A.S.; Tseu, M.W.L.; Shoesmith, W.D.; Abd Rahim, M.A.; Mohd Kassim, M.A. Efficacy of a single-session online ACT-based mindfulness intervention among undergraduates in lockdown amid COVID-19 pandemic. Trends Psychiatry Psychother. 2021. [Google Scholar] [CrossRef]
- de Lijster, J.M.; Dierckx, B.; Utens, E.M.W.J.; Verhulst, F.C.; Zieldorff, C.; Dieleman, G.C.; Legerstee, J.S. The age of onset of anxiety disorders: A meta-analysis. Can. J. Psychiatry 2017, 62, 237. [Google Scholar] [CrossRef] [Green Version]
- Pang, N.T.P.; Shoesmith, W.D.; James, S.; Nor Hadi, N.M.; Eugene Boon Yau, K.; Loo, J.L. Ultra Brief Psychological Interventions for COVID-19 Pandemic: Introduction of a Locally-Adapted Brief Intervention for Mental Health and Psychosocial Support Service. Malays. J. Med. Sci. 2020, 27, 51–56. [Google Scholar]
- Koh, E.B.Y.; Pang, N.T.P.; Shoesmith, W.D.; James, S.; Nor Hadi, N.M.; Loo, J.L. The Behaviour Changes in Response to COVID-19 Pandemic within Malaysia. Malays. J. Med. Sci. 2020, 27, 45–50. [Google Scholar]
- Gorwood, P.; Fiorillo, A. One year after the COVID-19: What have we learnt, what shall we do next? Eur. Psychiatry 2021, 64, e15. [Google Scholar] [CrossRef] [PubMed]
- Stewart, D.E.; Appelbaum, P.S. COVID-19 and psychiatrists’ responsibilities: A WPA position paper. World Psychiatry. 2020, 19, 406–407. [Google Scholar] [CrossRef] [PubMed]
- Unützer, J.; Kimmel, R.J.; Snowden, M. Psychiatry in the age of COVID-19. World Psychiatry 2020, 19, 130–131. [Google Scholar] [CrossRef] [PubMed]
- Fiorillo, A.; Gorwood, P. The consequences of the COVID-19 pandemic on mental health and implications for clinical practice. Eur. Psychiatry J. Assoc. Eur. Psychiatrists 2020, 63, e32. [Google Scholar] [CrossRef] [Green Version]
Level of Scoring | Depression, n † (%) | Anxiety, n † (%) | Stress, n † (%) |
---|---|---|---|
Normal | 276 (53.6) | 289 (56.2) | 381 (74.0) |
Mild | 135 (26.2) | 97 (18.8) | 61 (11.8) |
Moderate | 54 (10.5) | 67 (13.0) | 50 (9.7) |
Severe | 32 (6.2) | 28 (5.4) | 15 (2.9) |
Extremely Severe | 18 (3.5) | 34 (6.6) | 8 (1.6) |
DASS Categories | Mean (Quarantine) | Mean (Not Quarantined) | Mann Whitney U Test | |
---|---|---|---|---|
U | Sig. (2-Tailed) * | |||
Depression | 7.75 | 4.96 | 4154.000 | 0.025 |
Anxiety | 5.75 | 4.44 | 3468.000 | 0.375 |
Stress | 7.50 | 5.67 | 3827.000 | 0.110 |
DASS Categories | Mean (Female) | Mean (Male) | t | df | Sig. (2-Tailed) * | 95% Confidence Interval of the Difference | |
---|---|---|---|---|---|---|---|
Lower | Upper | ||||||
Depression | 5.38 | 4.21 | −2.917 | 511 | 0.004 | −1.965 | −0.383 |
Anxiety | 4.77 | 3.74 | −3.007 | 511 | 0.003 | −1.710 | −0.358 |
Stress | 6.15 | 4.69 | −3.748 | 511 | 0.000 | −2.224 | −0.694 |
ANOVA a | ||||||
---|---|---|---|---|---|---|
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 273.488 | 4 | 68.372 | 3.889 | 0.004 b |
Residual | 8931.276 | 508 | 17.581 | |||
Total | 9204.764 | 512 | ||||
Coefficients c | ||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. † | ||
B | Std. Error | Beta | ||||
1 | (Constant) | 0.677 | 1.656 | 0.409 | 0.683 | |
Gender | 1.162 | 0.404 | 0.127 | 2.874 | 0.004 | |
Quarantine status | 2.877 | 1.232 | 0.103 | 2.335 | 0.020 | |
Year of study | −0.040 | 0.177 | −0.010 | −0.226 | 0.821 | |
Campus | −0.226 | 0.207 | −0.048 | −1.089 | 0.277 |
ANOVA a | ||||||
---|---|---|---|---|---|---|
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 184.897 | 4 | 46.224 | 3.589 | 0.007 b |
Residual | 6542.366 | 508 | 12.879 | |||
Total | 6727.263 | 512 | ||||
Coefficients c | ||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. † | ||
B | Std. Error | Beta | ||||
1 | (Constant) | 2.420 | 1.417 | 1.707 | 0.088 | |
Gender | 0.974 | 0.346 | 0.124 | 2.813 | 0.005 | |
Quarantine status | 1.257 | 1.055 | 0.052 | 1.192 | 0.234 | |
Year of study | −0.237 | 0.152 | −0.069 | −1.560 | 0.119 | |
Campus | −0.156 | 0.177 | −0.039 | −0.878 | 0.381 |
ANOVA a | ||||||
---|---|---|---|---|---|---|
Model | Sum of Squares | df | Mean Square | F | Sig. | |
1 | Regression | 300.617 | 4 | 75.154 | 4.543 | 0.001 b |
Residual | 8403.153 | 508 | 16.542 | |||
Total | 8703.770 | 512 | ||||
Coefficients c | ||||||
Model | Unstandardized Coefficients | Standardized Coefficients | t | Sig. † | ||
B | Std. Error | Beta | ||||
1 | (Constant) | 1.973 | 1.606 | 1.228 | 0.220 | |
Gender | 1.429 | 0.392 | 0.160 | 3.643 | 0.000 | |
Quarantine status | 1.901 | 1.195 | 0.070 | 1.591 | 0.112 | |
Year of study | −0.127 | 0.172 | −0.033 | −0.742 | 0.459 | |
Campus | −0.158 | 0.201 | −0.034 | −0.784 | 0.434 |
PM a | PM—Insight a | PM—Interest a | State Mindfulness b | PF c | Depression | Anxiety | |
---|---|---|---|---|---|---|---|
PM—Insight | 0.669 ** | - | - | - | - | - | - |
PM—Interest | 0.514 ** | −0.293 * | - | - | - | - | - |
State mindfulness | 0.054 | 0.082 | −0.025 | - | - | - | - |
PF | −0.423 ** | −0.712 ** | 0.277 * | −0.077 | - | - | - |
Depression | −0.399 ** | −0.523 ** | 0.091 | −0.257 | −0.469 ** | - | - |
Anxiety | −0.429 ** | −0.687 ** | 0.240 | −0.202 | 0.484 ** | 0.721 ** | - |
Stress | −0.384 ** | −0.612 ** | 0.213 | −0.259 | 0.450 ** | 0.845 ** | 0.383 ** |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Pang, N.T.P.; James, S.; Giloi, N.; Rahim, S.S.S.A.; Omar, A.; Jeffree, M.S.; Hayati, F.; Lim, M.C.; Kassim, M.A.M.; Ng, J.R. Relationships between Psychopathology, Psychological Process Variables, and Sociodemographic Variables and Comparison of Quarantined and Non-Quarantined Groups of Malaysian University Students in the COVID-19 Pandemic. Int. J. Environ. Res. Public Health 2021, 18, 9656. https://doi.org/10.3390/ijerph18189656
Pang NTP, James S, Giloi N, Rahim SSSA, Omar A, Jeffree MS, Hayati F, Lim MC, Kassim MAM, Ng JR. Relationships between Psychopathology, Psychological Process Variables, and Sociodemographic Variables and Comparison of Quarantined and Non-Quarantined Groups of Malaysian University Students in the COVID-19 Pandemic. International Journal of Environmental Research and Public Health. 2021; 18(18):9656. https://doi.org/10.3390/ijerph18189656
Chicago/Turabian StylePang, Nicholas Tze Ping, Sandi James, Nelbon Giloi, Syed Sharizman Syed Abdul Rahim, Azizan Omar, Mohammad Saffree Jeffree, Firdaus Hayati, Mei Ching Lim, Mohd Amiruddin Mohd Kassim, and Jun Rong Ng. 2021. "Relationships between Psychopathology, Psychological Process Variables, and Sociodemographic Variables and Comparison of Quarantined and Non-Quarantined Groups of Malaysian University Students in the COVID-19 Pandemic" International Journal of Environmental Research and Public Health 18, no. 18: 9656. https://doi.org/10.3390/ijerph18189656