METHODS: A hundred and twenty ASA 1-3 adults were randomly reversed with 1 mg/kg sugammadex prior to extubation followed by another 1 mg/kg immediately after extubation (staggered group), single dose of 2 mg/kg sugammadex (single bolus group) or neostigmine 0.02 mg/kg with glycopyrrolate (neostigmine group).
RESULTS: We found 70% of patients (n = 28) reversed with single boluses of sugammadex had Grade 3 emergence cough compared to 12.5% (n = 5) in the staggered sugammadex group and 17.5% (n = 7) in the neostigmine group (p
METHODS: A stratified sampling method was used, and 277 employees were randomly selected to participate in the study. Generalized anxiety disorder (GAD-7) was used to measure anxiety symptoms. Patient health questionnaire (PHQ-9) was utilized to assess depression. The fear of COVID-19 (FOC) was calculated using the Fear of COVID-19 Scale (FCV), while the psychosocial factors affecting psychological impact were measured using a self-generated questionnaire.
RESULTS: The study obtained a response rate of 46.2% (n=128). Most respondents were female, married, permanent employees, and from the non-academic group. Depressive and anxiety symptoms were reported by 47% (n=55) and 32.5% (n=38) of the respondents, respectively. Statistically, a higher level of fear related to COVID-19 was found among non-academic employees (p=0.015) and those with permanent employment status (p=0.030). Anxiety was significantly correlated with depression (r=0.70, p≤0.001), while no correlations were found between these factors and fear related to COVID-19. Taking over school lessons was the most troubling factor that affected the respondents' level of distress, followed by working from home and worrying about their family member's health.
CONCLUSIONS: This study identified significant psychological effects of the pandemic on university employees, with anxiety and depression being notably correlated. While the generalizability of the findings is limited due to a low response rate, several key psychosocial distress factors were identified. These findings emphasize the necessity of addressing psychosocial factors to mitigate the mental health impact of pandemics. Further research with a higher response rate is required to confirm these findings and to design targeted interventions to support affected employees.
METHODS: A cross-sectional study was conducted among the adult population aged 35-70 residing in rural and urban areas in Malaysia. Depressive symptoms were assessed using the short form Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) Composite International Diagnostic Interview (CIDI) questionnaire. Logistic regression models were fitted to identify the associated factors related to depressive symptoms.
RESULTS: About 3.7 % (95 % CI: 2.33-4.83) of the respondents reported having depressive symptoms. Younger adults aged 35-40 years old (AOR: 3.087; 95 % CI: 2.021-4.717), females (AOR: 2.318; 95 % CI: 1.669-3.219), widows and divorcees (AOR: 2.294; 95 % CI: 1.085-4.848), smokers (AOR: 1.843; 95 % CI: 1.334-2.545) and alcohol consumers (AOR: 1.843; 95 % CI: 1.264-2.688) showed a higher odds compared to their other counterparts. Underweight individuals (AOR: 1.899; 95 % CI: 1.177-3.065) and those diagnosed either with hypertension (AOR: 1.442; 95 % CI: 1.11-1.873), diabetes (AOR: 1.554; 95 % CI: 1.133-2.13), angina (AOR: 2.73; 95 % CI: 1.596-4.67), COPD (AOR: 4.187; 95 % CI: 1.528-11.472) or asthma (AOR: 1.906; 95 % CI: 1.309-2.774) were more likely to have depressive symptoms. Additionally, individuals with difficulty trusting people (AOR: 1.477; 95 % CI: 1.024-2.13) and those reported to experience either home or work-related stress (AOR: 2.584; 95 % CI: 2.003-3.331) were more prone to have depressive symptoms.
CONCLUSION: In this broad population-based study, about 3.7 % (95 % CI: 2.33-4.83) of respondents reported having depressive symptoms. Timely and well targeted collaborative intervention on the identified risk factors by the relevant authorities, would mitigate their effect on the quality of life and retard the progression into depression, especially among younger adults.
METHODS: A cross sectional survey was conducted among staff from a tertiary education centre. Subjects were contacted to ascertain their medical history. A total of 320 subjects were interviewed and 195 subjects were eligible and subsequently recruited on a suitable date for taking blood and administration of the questionnaires. The subjects completed questionnaires pertaining to demographic details and coping styles. Pearson's correlation coefficient was used to measure the strength of association between lipid profile and coping styles.
RESULTS: Majority of the subjects were non-academic staff (60.0%), female (67.2%), Malay (91.8%), married (52.3%) and educated until Diploma level (34.9%). Academic staff scored significantly higher mean scores in task-oriented coping styles (Mean = 64.12). Non-academic staff scored significantly higher mean scores in emotion (Mean = 48.05) and avoidance-oriented coping styles (Mean = 57.61). Malay subjects had significantly higher mean scores in emotion (Mean = 47.14) and avoidance-oriented coping styles (Mean = 55.23). Non-malay subjects (Mean = 66.00) attained significantly higher mean scores in task-oriented coping styles. Single/divorced/widowed individuals scored significantly higher mean scores in emotion (Mean = 48.13) and avoidance-oriented coping styles (Mean = 56.86). There was a significant negative correlation between TC (r = -0.162) and LDL (r = -0.168) with avoidance-oriented coping styles (p = 0.023, p = 0.019 respectively).
CONCLUSION: Avoidance-oriented coping style was more likely to engender favourable lipid profile. Hence, assessment of coping styles would certainly assist health care practitioners in predicting subjects who would be at a greater risk of developing cardiovascular diseases.