MATERIALS AND METHODS: A cross-sectional study involving 86 respondents was conducted using an online survey between the middle of March and April 2022. The Perceived Stress Scale (PSS) developed by Cohen et al., (1983) was used to assess the stress levels of individuals. Data analysis was carried out using the SPSS statistical program, which included descriptive statistics, Mann-Whitney, Kruskal Wallis and Linear Regression tests.
RESULTS: The majority of respondents, 75.6% (n=65) reported moderate stress levels, while 14.0% (n=12) declared severe stress levels. The Mann-Whitney test showed no significant difference in psychosocial stress scores among workers between onshore and offshore (χ2=-0.523, p=0.601), whereas the Kruskal Wallis test showed a significant difference in psychosocial stress scores among workers between states (PMA, SKA, and SBA) (χ2=6.415, p=0.040). According to the regression test, workers with medical histories of diabetes and Covid-19 (R2=0.158) (p<0.005) are two factors linked to psychosocial stress.
CONCLUSION: The study found that there were significant differences in psychosocial stress among oil and gas workers between SKA, SBA, and PMA due to quarantine activity. Mobile workers and those with certain medical histories were identified as being particularly vulnerable to psychosocial stress. However, it was noted that the overall improvement in the quarantine period had a positive impact on the mental health of these workers.
METHODS: A total of 316 participants were administered a self-report questionnaire that collected data on sociodemographic attributes, personal characteristics, COVID-19-related stressors, religious coping, and clinical characteristics. In addition, the Multidimensional Scale of Perceived Social Support (MSPSS) and the 21-item Depression, Anxiety and Stress Scale (DASS-21) were administered.
RESULTS: Regarding depression, 15.5%, 11.7%, and 9.2% of the participants reported mild, moderate, and severe to extremely severe depression, respectively. For anxiety, 7.0%, 16.5%, and 13.2% of the respondents had mild, moderate, and severe to extremely severe anxiety, respectively. Moreover, 26.3% of participants had mild stress, 9.5% had moderate stress, and 6.6% had severe to extremely severe stress. The multiple linear regression model revealed that frustration because of loss of daily routine and study disruption and having preexisting medical, depressive, and anxiety disorders were associated with elevated depressive symptoms, while a greater degree of family and friends social support was associated with less depressive symptoms after adjusting for age, gender, and marital status. It was also found that frustration because of study disruption and having preexisting medical, depressive, and anxiety disorders were associated with elevated anxiety symptoms, while being enrolled in medicine-based courses and having a greater degree of family support were factors associated with less anxiety symptoms after adjusting for age, gender, and marital status.
CONCLUSION: There is a need to conduct a longitudinal study in the future to confirm the causal relationship between the significant predictive factors and depression and anxiety identified in this study, and maintenance of a persistent flow of academic activities and social interaction may be of utmost importance to safeguard the mental wellbeing of university students.
Subjects and methods: This short communication reviews articles and government announcements related to containment measures and the Movement Control Order of Malaysia, and graphically presents data pertinent to Covid-19 in Malaysia in order to show the relationship between fluctuations in Covid-19 cases and movement control.
Results: At the onset of the Covid-19 outbreak, Malaysia had initiated travel restrictions and quarantine; but with a persistent increase in new Covid-19 cases, the Movement Control Order was finally rolled out on 18 March 2020, requiring closure of all businesses except those providing essential services and items. Enforcement of the order was tightened progressively, resulting in significant improvement of compliance, while other interventions such as tracking of potential contacts and medical screening were underway, and the media continued to provide updates and general advices. The numbers of new and active Covid-19 cases started showing evident downtrends from mid-April, thus indicating the effectiveness of movement control and its compliance.
Conclusion: The article provides insight into crucial factors contributing to the success of movement control to effectively contain Covid-19, and highlights the need to prevent future upsurge through continuous monitoring and enforcement.