This study examines the factors associated with the willingness to get the coronavirus vaccine among individuals aged 18 and above.

This cross-sectional study was conducted in Turkey. The participants aged 18 and older were recruited between December, 2020 and January, 2021 through conventional social media sites. Snowball sampling was used. An anonymous questionnaire consisted of demographics, vaccination experiences, and perceived risk of coronavirus disease.

1202 women and 651 men were included in the data analysis. Findings showed that demographics, vaccination experience, and perceived risk of getting COVID-19 were explained. 37% of the variance in people’s willingness to get the COVID-19 vaccination was according to hierarchical logistic regression. Furthermore, increasing age, being male, acquiring positive information about COVID-19 vaccines, having a lower level of vaccine hesitancy, the high level of worry about COVID-19, and low level of perceptions of the possibility of becoming infected by the COVID-19 were the main predictors of COVID-19 vaccine willingness.

Factors affecting adults’ willingness to be inoculated with COVID-19 vaccines were related to demographics, vaccination experiences, and perceived risk of getting COVID-19. We recommend that public health authorities and practitioners should consider these multiple factors regarding vaccine confidence to achieve herd immunity.

The object of this study was to examine the accuracy in prehospital shock index (SI) for predicting intensive care unit (ICU) requirement and 30-d mortality among from coronavirus disease 2019 (COVID-19) patients transported to the hospital by ambulance.

All consecutive patients who were the age ≥18 y, transported to the emergency department (ED) by ambulance with a suspected or confirmed COVID-19 in the prehospital frame were included in the study. Four different cutoff points were compared (0.7, 0.8, 0.9, and 1.0) to examine the predictive performance of both the mortality and ICU requirement of the SI. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) was used to evaluate each cut-off value discriminatory for predicting 30-d mortality and ICU admission.

The total of 364 patients was included in this study. The median age in the study population was 69 y (range, 55-80 y), of which 196 were men and 168 were women. AUC values for 30-d mortality outcome were calculated as 0.672, 0.674, 0.755, and 0.626, respectively, for threshold values of 0.7, 0.8, 0.9 and 1.0. ICU admission was more likely for the patients with prehospital SI > 0.9. Similarly, the mortality rate was higher in patients with prehospital SI > 0.9.

Early triage of COVID-19 patients will ensure efficient use of health-care resources. The SI could be a helpful, fast, and powerful tool for predicting mortality status and ICU requirements of adult COVID-19 patients. It was concluded that the most useful threshold value for the shock index in predicting the prognosis of COVID-19 patients is 0.9.

Health-care personnel (HCPs) are predisposed to infection during direct or indirect patient care as well as due to the community spread of the disease.

We observed the clinical presentation and course of severe acute respiratory syndrome coronavirus disease 2 (SARS-CoV-2) infection in HCPs working in a dedicated coronavirus disease 2019 (COVID-19) care hospital during the first and the second wave.

A total of 100 and 223 HCPs were enrolled for the first wave and the second wave, respectively. Cough, shortness of breath, sore throat, runny nose, and headache was seen in 40 (40%) and 152 (68%) (P < 0.01), 15 (15%) and 64 (29%) (P = 0.006), 40 (40%) and 119 (53.3%) (P = 0.03), 9 (9%) and 66 (30%) (P < 0.01), 20 (20%) and 125 (56%) (P < 0.01), respectively. Persistent symptoms at the time of joining back to work were seen in 31 (31%) HCPs and 152 (68%) HCPs, respectively (P ≤ 0.01). Reinfection was reported in 10 HCPs.

Most of the HCPs had mild to moderate infections. Symptoms persist after joining back to work. Upgradation of home-based care and teleconsultation facilities for active disease and redressal of residual symptoms will be helpful.

Previous studies have shown a negative impact of the COVID-19 pandemic and its associated sanitary measures on mental health, especially among adolescents and young adults. Such a context may raise many concerns about the COVID-19 pandemic long-term psychological effects. An analysis of administrative databases could be an alternative and complementary approach to medical interview-based epidemiological surveys to monitor the mental health of the population. We conducted a nationwide study to describe the consumption of anxiolytics, antidepressants and hypnotics during the first year of the COVID-19 pandemic, compared to the five previous years.

A historic cohort study was conducted by extracting and analysing data from the French health insurance database between 1 January 2015 and 28 February 2021. Individuals were classified into five age-based classes. Linear regression models were performed to assess the impact of the COVID-19 pandemic period on the number of drug consumers, in introducing an interaction term between time and COVID-19 period.

Since March 2020, in all five age groups and all three drug categories studied, the number of patients reimbursed weekly has increased compared to the period from January 2015 to February 2020. The youngest the patients, the more pronounced the magnitude.

Monitoring the consumption of psychiatric medications could be of great interest as reliable indicators are essential for planning public health strategies. A post-crisis policy including reliable monitoring of mental health must be anticipated.

This hospital-based study aimed to evaluate the nutritional status and dietary habits, the amount of nutrients provided to the patients in the hospital and to detect the predictors of severity among COVID-19 patients in Jordan.

A hospital-based study (N = 367; mean age 42.3 y; SD 15.4; 66.0% men) was conducted between March 17 and July 25, 2020, in Prince Hamza Hospital. Data about socio-demographic, anthropometric, dietary habits, and macro- and micronutrients intake were collected from the patients’ medical files, and some missing data were collected by phone directly from the patients.

The results of the linear regression showed that only age was significantly and positively (ß = 0.454; P = 0.001) associated with severity of the disease among the study patients. Approximately 57% of the COVID-19 patients consumed 3 meals daily, while 31-34% consumed 1 to 2 snacks daily. The majority (64%) of the patients drank more than 5 cups of water daily. Around 24% of the patients complained of eating problems, such as taste and/or smell loss, low appetite, and swallowing difficulty. The intakes of the vitamins B1, B2, B3, B6, and C, as well as calcium, magnesium, phosphorus, selenium, and sodium, were within the recommended dietary allowances (RDA).

The servings of the 5 food groups as well as most of the macro- and micronutrient requirements were within the recommended intakes and RDA.

The aim of this study was to determine how the early stages of the coronavirus disease 2019 (COVID-19) pandemic affected the use of the pediatric emergency department (PED).

Cross-sectional study of PED visits during January through April, 2016-2020. Data included: total PED visits, emergency severity index (ESI), disposition, chief complaint, age (months), time from first provider to disposition (PTD), and PED length of stay (PED-LOS). P-value <0.01 was statistically significant.

In total, 67,499 visits were reported. There was a significant decrease in PED visits of 24-71% from March to April 2020. Chief complaints for fever and cough were highest in March 2020; while April 2020 had a shorter mean PED-LOS (from 158 to 123 min), an increase of admissions (from 8% to 14%), a decrease in ESI 4 (10%), and an increase in ESI 3 (8%) (P < 0.001). There was no difference in mean monthly PTD time.

Patient flow in the PED was negatively affected by a decrease in PED visits and increase in admission rate that may be related to higher acuity. By understanding the interaction between hospital processes on PEDs and patient factors during a pandemic, we are able to anticipate and better allocate future resources.

There are growing concerns about the impact of the COVID-19 pandemic on the mental health of older adults. We examined the effect of the pandemic on the risk of depression in older adults.

We analyzed data from the prospective cohort study of Korean older adults, which has been followed every 2 years. Among the 2308 participants who completed both the third and the fourth follow-up assessments, 58.4% completed their fourth follow-up before the outbreak of COVID-19 and the rest completed it during the pandemic. We conducted face-to-face diagnostic interviews using Mini International Neuropsychiatric Interview and used Geriatric Depression Scale. We performed generalized estimating equations and logistic regression analyses.

The COVID-19 pandemic was associated with increased depressive symptoms in older adults [b (standard error) = 0.42 (0.20), p = 0.040] and a doubling of the risk for incident depressive disorder even in euthymic older adults without a history of depression (odds ratio = 2.44, 95% confidence interval 1.18–5.02, p = 0.016). Less social activities, which was associated with the risk of depressive disorder before the pandemic, was not associated with the risk of depressive disorder during the pandemic. However, less family gatherings, which was not associated with the risk of depressive disorder before the pandemic, was associated with the doubled risk of depressive disorder during the pandemic.

The COVID-19 pandemic significantly influences the risk of late-life depression in the community. Older adults with a lack of family gatherings may be particularly vulnerable.

Responses to the COVID-19 pandemic have included lockdowns and social distancing with considerable disruptions to people's lives. These changes may have particularly impacted on those with mental health problems, leading to a worsening of inequalities in the behaviours which influence health.

We used data from four national longitudinal British cohort studies (N = 10 666). Respondents reported mental health (psychological distress and anxiety/depression symptoms) and health behaviours (alcohol, diet, physical activity and sleep) before and during the pandemic. Associations between pre-pandemic mental ill-health and pandemic mental ill-health and health behaviours were examined using logistic regression; pooled effects were estimated using meta-analysis.

Worse mental health was related to adverse health behaviours; effect sizes were largest for sleep, exercise and diet, and weaker for alcohol. The associations between poor mental health and adverse health behaviours were larger during the May lockdown than pre-pandemic. In September, when restrictions had eased, inequalities had largely reverted to pre-pandemic levels. A notable exception was for sleep, where differences by mental health status remained high. Risk differences for adverse sleep for those with the highest level of prior mental ill-health compared to those with the lowest were 21.2% (95% CI 16.2–26.2) before lockdown, 25.5% (20.0–30.3) in May and 28.2% (21.2–35.2) in September.

Taken together, our findings suggest that mental health is an increasingly important factor in health behaviour inequality in the COVID era. The promotion of mental health may thus be an important component of improving post-COVID population health.