6 research outputs found
Quality of Life of Person with Schizophrenia: Patient’s and Caregiver’s Perspectives
No full textThis qualitative study explored the meaning and components of quality of life based on patients' and their family caregivers' perspectives
Quality of Life of Person with Schizophrenia: Patient’s and Caregiver’s Perspectives
No full textThis qualitative study explored the meaning and components of quality of life based on patients' and their family caregivers' perspectives
Factors associated with psychological distress, fear, and coping strategies during the COVID-19 pandemic in Thailand : a cross-sectional study
No full textIntroduction: Despite being initially perceived as a local infectious disease, COVID-19 has emerged as one of the most perilous global health threats, significantly impacting the psychological well-being of individuals worldwide. Objective: This cross-sectional descriptive study investigates the psychological distress, fear, and coping mechanisms among Thai people residing in Thailand during the COVID-19 pandemic. Methods: This online cross-sectional survey targeted Thai individuals during the first and third waves of the COVID-19 pandemic. Participants aged 18 and above who provided consent self-reported their responses to the Kessler Psychological Distress Scale, Fear of COVID-19 Scale, and Brief Resilient Coping Scale. Data collection occurred between November 2020 and January 2021 across four regions of Thailand. Univariate and multivariate logistic regression analyses explored associations between contextual factors and the variables of interest. Results: Out of 498 survey respondents, with an average age of 43.07 (SD = 13.69) years, 81.9% were female, and 61.6% self-identified as healthcare workers, with 47.59% identified as frontline healthcare workers. Findings revealed that 46% of participants experienced moderate-to-very high levels of psychological distress, 14.3% reported high levels of fear of COVID-19, and 35.1% exhibited low resilient coping. Factors such as changes in employment status or financial situations, comorbidities, contact with known or suspected COVID-19 cases, recent healthcare utilization for COVID-19-related stress, and elevated fear of COVID-19 were associated with higher levels of psychological distress. Conversely, being nurses and perceived better mental health status were linked to more effective coping strategies. Conclusion: These results emphasize the critical importance of government interventions to safeguard the psychological well-being of healthcare workers and the broader Thai population. Urgent measures to bolster resilience among these groups during and after the pandemic are imperative. © The Author(s) 2024
COVID-19: Factors associated with psychological distress, fear, and coping strategies among community members across 17 countries
No full textAbstract Background The current pandemic of COVID-19 impacted the psychological wellbeing of populations globally. Objectives We aimed to examine the extent and identify factors associated with psychological distress, fear of COVID-19 and coping. Methods We conducted a cross-sectional study across 17 countries during Jun-2020 to Jan-2021. Levels of psychological distress (Kessler Psychological Distress Scale), fear of COVID-19 (Fear of COVID-19 Scale), and coping (Brief Resilient Coping Scale) were assessed. Results A total of 8,559 people participated; mean age (±SD) was 33(±13) years, 64% were females and 40% self-identified as frontline workers. More than two-thirds (69%) experienced moderate-to-very high levels of psychological distress, which was 46% in Thailand and 91% in Egypt. A quarter (24%) had high levels of fear of COVID-19, which was as low as 9% in Libya and as high as 38% in Bangladesh. More than half (57%) exhibited medium to high resilient coping; the lowest prevalence (3%) was reported in Australia and the highest (72%) in Syria. Being female (AOR 1.31 [95% CIs 1.09-1.57]), perceived distress due to change of employment status (1.56 [1.29-1.90]), comorbidity with mental health conditions (3.02 [1.20-7.60]) were associated with higher levels of psychological distress and fear. Doctors had higher psychological distress (1.43 [1.04-1.97]), but low levels of fear of COVID-19 (0.55 [0.41-0.76]); nurses had medium to high resilient coping (1.30 [1.03-1.65]). Conclusions The extent of psychological distress, fear of COVID-19 and coping varied by country; however, we identified few higher risk groups who were more vulnerable than others. There is an urgent need to prioritise health and well-being of those people through well-designed intervention that may need to be tailored to meet country specific requirements
Additional file 1 of COVID-19: Factors associated with psychological distress, fear, and coping strategies among community members across 17 countries
No full textAdditional file 1: Table S1. Levels of psychological distress among the study participants (based on K-10 scoring). Table S2. Levels of fear of COVID-19 among the study participants (based on the FCV-19S scoring). Table S3. Coping during COVID-19 pandemic among the study participants
The impact of illness and the impact of school closure on social contact patterns.
No full textBACKGROUND: Mathematical models, based on data describing normal patterns of social mixing, are used to understand epidemics in order to predict patterns of disease spread and plan interventions and responses. However, individuals who are ill show behavioural changes that affect their social mixing patterns and predictive models should take into account these changes if they are to be effective. OBJECTIVES: To describe and quantify the changes in (1) social contact behaviour experienced by individuals when they are ill with pandemic H1N1 influenza (swine flu) and (2) mixing patterns of school children that take place as a result of swine flu-related school closures. METHODS: For the first part of the study, a self-completed questionnaire-based study was carried out in the autumn/winter of 2009-10. The study population was individuals who had been diagnosed with swine flu and who received a swine flu antiviral prescription from an antiviral distribution centre (ADC). It consisted of an initial survey to be filled in when participants were symptomatic with swine flu and a follow-up survey to be filled in when they had recovered. Each part of the questionnaire had two sections: patient details and a contact diary. The second part of the study was adapted to quantify the difference in mixing patterns of pupils between the school term and the half-term holiday as school closures did not occur during the study period. Eight schools participated and questionnaire packs were distributed to them, containing two surveys: one to be filled in during the school term and one during the spring half-term holiday. RESULTS: For the patient study, approximately 3800 surveys were distributed by 31 ADCs. Overall, 317 responses to the initial survey were received and 179 participants returned the follow-up survey. For all types of a contact, except contacts made at home, there were highly significant differences in contact behaviour (Wilcoxon signed-rank test, p < 0.001). Individuals made substantially fewer contacts when they were ill than when they were well. Analysis showed that returning to work was the most significant predictor of increased numbers of contacts. Also, the greater the change in the number of symptoms reported, the greater the change in the number of contacts. For the school study, approximately 1100 questionnaire packs were distributed and 134 responses were received, with 119 paired contact diaries. Pupils reported on average 18.51 contacts each day during term time and 9.24 during the half-term holiday - a reduction of over 50% and a highly significant change (Wilcoxon signed-rank test, p < 0.0001). CONCLUSIONS: The evidence from this study suggests that ill individuals make substantial changes to their social contact patterns. These changes are strongly linked to absence from work and the severity of the reported illness. Epidemiological modellers should therefore consider the implications of illness-related behavioural changes on model predictions. Future studies to measure the extent of behavioural change in a broader cross-section of infected cases could be valuable, along with more detailed studies of the social contact patterns of school children, focusing on differences between school terms and school holidays
