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Corona virus disease 2019 (COVID-19) outbreak has become a severe community health threat across the world. Covid-19 is a major illness, presently there is no as such any medicine and vaccine those can claim for complete treatment. It is spreading particularly in a feeble immune people and casualties are expanding abruptly and put the health system under strain. Among the strategic measures face mask is one of the most used measures to prevent spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Wearing a face mask possibly create a false sense of security lead to decline others measures. Face mask could be risk for the people of under lying medical conditions, old age group, outdoor exercise, acute and chronic respiratory disorders and feeble innate immune. Restrictive airflow due to face mask is the main cause of retention of CO2 called hypercapnia that can lead to respiratory failure with symptoms of tachycardia, flushed skin, dizziness, papilledema, seizure and depression. According to latest updates face shield and social distancing could be better substitute of face mask.
This systematic review and meta-analysis aimed evaluate the 30-day mortality, number and site of fracture, mechanism of injury, and location where injury was sustained during the pandemic compared to pre-pandemic.
We performed a systematic literature search from PubMed and Embase on original articles, research letters, and short reports which have data about the number of fractures, site of fracture, mechanism of injury, location where injury was sustained, percentage of operative intervention, mortality during the pandemic compared to a specified period of time before the pandemic. The search was finalized in October 14, 2020.
A total of 11,936 participants from 16 studies were included in our study. The pooled analysis indicated a higher 30-days mortality associated with fractures during the pandemic (9% vs 4%, OR 1.86 [1.05, 3.27], p=0.03; I
36%, p=0.15). The number of fractures presenting to hospitals has declined 43% (35-50%) compared to pre-pandemic. Hand fracture was fewer during the pandemic (18% vs 23%, OR 0.75 [0.58, 0.97], p=0.03; I
69%, p=0.002). Work-related traumas, high-energy falls, and domestic accidents were more common during the pandemic, while sports-related traumas were found to be less. Injuries that occurred in the sports area were lower than before the pandemic.
The present meta-analysis showed that during the COVID-19 pandemic, the number of fractures has decreased, but there is a higher mortality rate associated with fractures.
The present meta-analysis showed that during the COVID-19 pandemic, the number of fractures has decreased, but there is a higher mortality rate associated with fractures.
A pandemic poses a significant challenge to the healthcare staff and infrastructure. We studied the prevalence of anxiety and depressive symptoms among armed forces doctors in India during the COVID-19 pandemic and the factors that contribute to these symptoms.
The study was conducted from March 30, 2020, to April 2, 2020, using a self-administered questionnaire questionnaire using the hospital anxiety and depression scale (HADS), which was sent through Google Forms. Responses were received from 769 respondents. Data were analyzed for demographic details and HADS scores using the chi-square test and backward logistic regression.
Anxiety and depressive symptoms were seen in 35.2% and 28.2% of the doctors, respectively. In doctors with anxiety symptoms, significant associations were observed with age (20-35 years, 39.4%, P= 0.01), gender (females, 44.6%, P < 0.001), duration of service (0-10 years, 38%, P= 0.03), and clinical versus non-clinical specialties (non-clinical, 41.3%, P< 0.001) as opposed to marital status, education level, and current department of work.In doctors with depressive symptoms, significant associations were observed with age (P= 0.04), clinical versus non-clinical specialties (P< 0.001), duration of service (0-10 years, 30.1%, P= 0.03), and doctoral degree (P= 0.04) as opposed to gender, marital status, education level, and current working department.
The study revealed a high prevalence of anxiety and depressive symptoms among armed forces doctors. The main contributing factors are female gender, young age group, non-clinical specialties, and having a doctoral degree.
The study revealed a high prevalence of anxiety and depressive symptoms among armed forces doctors. The main contributing factors are female gender, young age group, non-clinical specialties, and having a doctoral degree.
COVID-19-driven pandemic has caused panic, fear, and stress among all strata of society. The study aimed to assess stress and the factors that influence it in a representative population in the state of Tamil Nadu (TN)-a state in the southern India where the levels of stress have not been measured yet.
From April 13 to April 25, 2020, we conducted an online survey among the TN population using the snowball sampling technique, collecting basic demographic data. COVID-19-perceived stress was collected through COVID-19 Peritraumatic Distress Index (CPDI). Binomial regression analysis was used to identify the extent of the relationship between CPDI and sociodemographic factors by estimating the odds of having significant stress. P ≤ 0.05 was considered significant.
A total of 2,317 valid responses were received. selleck kinase inhibitor Of the respondents, 830 (35.82%) were males, 1,084 (46.79%) were below 25 years of age, and 2,297 (99.14%) were native residents of TN. The mean(±SD) CPDI was 20.66±12.03. While 1,830 (77.2%) respondents had low or no stress, 478 (20.2%) had mild to moderate stress, and 63 (2.7%) had severe stress. The bivariate model included marital status, age, nativity, and income. The odds of having significant stress (mild-moderate or severe) for a 25-34 year age group as compared to >55 years group was 2.38 (P < 0.001). As compared to widowed, the married had higher odds ratio (3.41, P = 0.05). Compared to those with >10 lakh annual income, those with 2.5-5 lakhs annual income had odds ratio of 1.65 (95% CI = 1.01 to 2.7, P = 0.05).
During the lockdown due to COVID-19, every 1 in 5 TN population had some form of stress, as measured by CPDI. Our model identified certain factors driving the stress, which would help policy framers to initiate an appropriate response.
During the lockdown due to COVID-19, every 1 in 5 TN population had some form of stress, as measured by CPDI. Our model identified certain factors driving the stress, which would help policy framers to initiate an appropriate response.
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