IntroductionThe COVID-19 pandemic has caused discrimination and social stigma among healthcare workers (HCW) causing psychological problems due to prolonged work shifts, uncertain pay, lack of personal protective equipment (PPE), added fear of infection to self or family, and so on. This online survey is directed towards the determination of anxiety, depression, and stigma among healthcare providers in Nepal during the later phase of the first wave of the COVID-19 pandemic.
Background Good sleep quality is associated with a diverse range of positive outcomes such as better health, less daytime sleepiness, well-being and proper psychological functioning. Sleep deprivation or poor sleep quality leads to many metabolic, endocrine, and immune changes. Many studies have shown changes in sleep schedule along with worsening of sleep quality during the COVID-19 pandemic. Methods This cross-sectional study was conducted among students of a medical college in Kathmandu, Nepal from January 13, 2021 to February 15, 2021. A stratified random sampling technique was used. Data were collected using the Pittsburgh Sleep Quality Index (PSQI). Questionnaires that were completely filled were included and analyzed using STATA vs. 15. Results 168(n=190) medical students filled out the questionnaires with a response rate of 88.42%. Around 30% (n=51) of respondents had poor sleep quality (PSQI total score of > 5) with an average PSQI score of 4.24±2.19. Unadjusted logistic regression analysis showed significantly higher odds of poor sleep quality among females (OR, 2.25; CI, 1.14-4.43) compared with male and the relation persists even after adjusting with age and year in medical school (aOR, 2.81; CI, 1.35-5.86). Adjusting with age and gender, 4 th-year MBBS students had 82% lesser odds of having poor sleep quality compared to 2 nd-year MBBS students (aOR, 0.18; CI, 0.04-0.76). Our study is suggestive of poor sleep quality common among medical students. Conclusions More than a quarter of medical students have a poor sleep quality as per our study. So, education and awareness should be raised among medical students regarding the detrimental effects of poor quality sleep on daily activities, physical and mental well-being, and the overall quality of life.
Background Good sleep quality is associated with a diverse range of positive outcomes such as better health, less daytime sleepiness, well-being, and proper psychological functioning. Sleep deprivation or poor sleep quality leads to many metabolic, endocrine, and immune changes. Many studies have shown changes in sleep schedule along with worsening of sleep quality during the COVID-19 pandemic. Methods This cross-sectional study was conducted among students of a medical college in Kathmandu, Nepal from January 13, 2021, to February 15, 2021. A stratified random sampling technique was used. Data were collected using the Pittsburgh Sleep Quality Index (PSQI). Questionnaires that were completely filled were included and analyzed using STATA vs. 15. Results 168 medical students filled out the questionnaires with a response rate of 88.42%. 30.36% (n=51) of respondents were having poor quality of sleep (PSQI total score of > 5) with an average PSQI score of 4.24±2.19. Unadjusted logistic regression analysis showed significantly higher odds of poor quality of sleep among females (OR, 2.25; CI, 1.14-4.43) comparing to male and the relation persists even adjusting with age and year in medical school (aOR, 2.81; CI, 1.35-5.86) Adjusting with age and gender 4th-year MBBS students were 82% less likely to have a poor quality of sleep compared to 2nd-year MBBS students (aOR, 0.18; CI, 0.04-0.76). Poor quality of sleep is common among medical students. Conclusions More than a quarter of medical students have a poor quality of sleep as per our study. So, education and awareness should be aroused among medical students regarding the detrimental effects of poor quality sleep on daily activities, physical and mental well-being, and the overall quality of life.
Globally, mental health problems constitute a serious public health problem, contributing 14 % to the global burden of disease. The aim of this epidemiological study was to identify prevalence rates of post-traumatic stress disorder (PTSD), factors associated and its relationship with combat exposure in a post-insurgency period in Nepali army personnel and Veterans. This cross-sectional study was conducted among 300 adults in 2021. In the study both quantitative and qualitative mixed approach with descriptive design was followed. The outcome measures used in the study were locally validated with PCL-M and combat exposure scale. Of the sample, 9 % met threshold for PTSD. The association of variable in reference to age, rank, education and service years with PTSD showed that Age group and Education in current study did not show significant association. However, PTSD with years of service and rank showed significant association. The study also showed a significant relationship between combat exposure and PTSD. There is a significant association between different level of education and combat exposure as well. Overall, the prevalence rates of PTSD in the sample are comparable to other studies conducted with populations affected by conflict and with refugees. However, the findings underscore the need to address the current mental health care awareness and resources in combatants who were exposed to traumatic events during combat in insurgency period. Traumatic exposure predicted increase in PTSD.
Introduction Suicide is a global public health issue. Several environmental, psychosocial, behavioral factors along with physical, sexual, and emotional abuse have been associated with suicidal ideation and attempts. Childhood physical, sexual abuse, and health risk behaviors are also associated with suicidal attempts. The suicidal ideation prevalence varied from 1 to 20% and it varied with study population, geography, age group, gender, and other factors. The Beck suicidal ideation scale is an effective tool for assessing the major suicidal ideation with a six cut-off score. Materials and method 160 patients who met the inclusion criteria were enrolled into this cross-sectional study after random sampling among the patients visiting the Psychiatric OPD of Shree Birendra Hospital, Kathmandu, Nepal. The Semi-Structured Interview Schedule (SSIS), Beck Scale for Suicide Ideation (BSS), and Kuppuswamy’s Scale were used to collect the data from the patients enrolled in the study. The Chi-square test and binary logistic regression analyses were used to identify and differentiate the factors associated with high suicidal risk. Results Out of total 160 patients, 65% (n = 104) were female, 92.5% (n = 148) were married, 61.9% (n = 99) were residing in urban area, 93.1% (n = 148) were Hindus, 74.4% (n = 119) patients were living in the nuclear family, 5% (n = 8) patients had family history of psychiatric illness and 10.6% (n = 17) patients were using the substance of abuse. In the Beck scale for suicidal ideation questionnaire, 87.5% (n = 140) patients had moderate to strong wish to live, 89.4% (n = 143) patients responded as they would take precautions to save a life, 88.8% (n = 142) patients had such ideation/wish for brief, 96.3% (n = 154) had not considered for specificity/planning of contemplated suicidal attempt, 91.9% (n = 147) patients stated that they would not attempt active suicide because of a deterrent example from family, religion, irreversibility of the act and 98.1% (n = 157) patients had revealed ideas of deception/concealment of contemplated suicide openly. 16.9% (n = 27) of participants were categorized as high risk for suicide while 83.1% (n = 133) patients were as a low-risk category for suicide based on the Beck scale for suicidal ideation scoring. Conclusion In conclusion, this study found that most of the suicidal attempts were done as an act of impulse and it is higher among female and married individuals residing in the urban areas. This study did not establish any statistically significant association or differences among independent variables with the higher risk scoring in the Beck suicidal ideation scale.
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