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1.
Gastroenterology ; 162(7):S-600, 2022.
Article in English | EMBASE | ID: covidwho-1967347

ABSTRACT

Introduction Despite the global impact of the COVID-19 pandemic, vaccine hesitancy remains common in the general public. Adults who were on immunosuppressive medications were among the earlier groups recommended by the Centers for Disease Control and Prevention to receive the COVID-19 vaccine. It is unclear whether similar vaccine hesitancy is seen in patients with inflammatory bowel disease (IBD), especially those who are on immunosuppressive medications. We sought to examine rate of vaccine hesitancy in patients with IBD as well as associated demographic and socioeconomic risk factors. Methods We performed a retrospective chart review in November 2021 of 1383 patients with IBD seen at University of Maryland Medical Center, a tertiary referral medical center, between November 2020 and October 2021. Data obtained from patients' charts included demographics;disease characteristics including disease phenotype, number of years since diagnosis, number of IBD-related surgeries;and IBD therapy including biologics, thiopurines or methotrexate, corticosteroids, and mesalamine. Information on COVID vaccination and routinely recommended vaccines were also collected which included annual influenza vaccine, Prevnar/ Pneumovax, and Shingrix. Those with no recorded COVID-19 vaccine were contacted by nurses for updated vaccine status. Results 72% (990/1383) of patients in this cohort were on a biologic, 17% (232/1383) were on corticosteroids, and 16% (224/1383) were on thiopurine or methotrexate, indicating a cohort of patients with moderate to severe disease phenotype. Fifty-seven percent (792/1383) of patients received either the Pfizer, Moderna, or Johnson & Johnson vaccine. In a multivariate regression analysis, COVID vaccination was found to be positively associated with a number of factors including older age (p-value= 4.92e-4), female sex (p=1.61e-3), Asian and Caucasian races (p=9.13e-3, 6.47e-06), number of years since diagnosis (p=2.73e-2), number of clinic visits in the past 12 months (p= 2.66e-10), and biologic use (p=4.41e-4). This remained the case while controlling for IBD disease type;marital status;insurance (Commercial vs Medicaid vs Medicare);and tobacco, alcohol, and substance use history. Patients who received other routinely recommended vaccines (influenza, Prevnar/Pneumovax, Shingrix) were not more likely to receive COVID- 19 vaccine. Discussion Although majority of patients in this cohort were on an immunosuppressive medication, COVID-19 vaccination rate is only recorded to be at 57%. Number of clinic visits, presumably more education and conversation with healthcare providers, had a positive impact on COVID-19 vaccination. In this cohort, younger adults, males, and African Americans were less likely to receive COVID-19 vaccine. Healthcare providers need to recognize these potential risk factors for COVID-19 vaccine hesitancy.

2.
Journal of Occupational Health and Epidemiology ; 11(1):23-31, 2022.
Article in English | Scopus | ID: covidwho-1925068

ABSTRACT

Background: Scientists believe that the new coronavirus causing COVID-19 is airborne. It has been approved that wearing masks and hand washing prevent the spread of COVID-19. This study aimed to evaluate the association between wearing facemasks, hand washing, and COVID-19 contraction in the population of Tabriz, Iran. Materials & Methods: In this analytical study, necessary information was collected via four online multi-optional questionnaires on sociodemographic characteristics, the COVID-19 virus, mask-wearing behaviors, and hand hygiene habits among 360 individuals (120 cases and 240 controls). Based on data normality, quantitative variables were reported as mean ± standard deviation or the median (min-max). In addition, the relationship between qualitative variables was evaluated by the Fisher’s exact test, and correlations were assessed by the Spearman's test. Results: Elderly individuals and their care seekers had fewer potentials for exposure to COVID-19 (p = 0.010), but healthcare workers were at a higher risk of contracting the virus than other occupations (p = 0.002). In addition, smokers were at a lower risk of the disease than other healthy people (p = 0.009). Furthermore, the incidence of COVID-19 was significantly higher among individuals not wearing facemasks than others (p = 0.007). Conclusions: we concluded that wearing a facemask was more effective than hand washing and antiseptics in preventing the incidence of COVID-19 contraction;thus, people not wearing facemasks were at a higher risk of the viral infection. © The Author(s) 2022;All rights reserved. Published by Rafsanjan University of Medical Sciences Press.

3.
International Journal of Early Childhood Special Education ; 14(1):570-576, 2022.
Article in English | Web of Science | ID: covidwho-1798686

ABSTRACT

Background: During the Covid-19 outbreak period, psychological disorders, especially anxiety, are highly prevalent among nursing students. Presence in a clinical setting for the first time, despite Covid-19 disease, exacerbates anxiety. The aim of this study was to evaluate the effect of Mindfulness Based Techniques training on anxiety of nursing students in clinical environments arrival. Methods: This is a quasi-experimental that was conducted in 2020-21 on 46 students selected by the census method and randomly assigned to control (n = 22) and intervention groups (n = 22). Two samples were excluded due to exclusion criteria. The data gathering tool was a demographic questionnaire and the Spielberger's Standard Scale. The intervention was carried out by the instructions of Kabat Zinn's mindfulness meetings in 8 sessions for the intervention group. Data were analyzed using SPSS ver.20 software. Results: The results of this study showed that the average anxiety scores of students after the intervention was statistically significant in both groups. The average of students' anxiety scores in the intervention group increased after the intervention. Conclusions: The implementation of an educational program based on mindfulness techniques had a positive effect on nursing students' anxiety disorder during the Covid-19 outbreak period. Therefore, it is recommended to use mindfulness techniques to improve the anxiety of different classes, especially students in certain circumstances, the prevalence of Covid-19 disease.

4.
2020 Ieee 20th International Conference on Bioinformatics and Bioengineering ; : 801-806, 2020.
Article in English | Web of Science | ID: covidwho-1322699

ABSTRACT

In this paper, we present a novel solution for the remote breathing and sleep position monitoring by using a multi-input-multi-output (MIMO) radar. Our proposed system is able to monitor a number of people simultaneously, and therein we use a high-resolution direction of arrival (DOA) detection for finding closely separated targets. So, it effectively increases the number of target detection and reduces the cost by reducing the number of sensors. Furthermore, our proposed system is capable of identifying the sleep position of each monitored person by selecting appropriate target features and using a support vector machine (SVM) classifier. The breathing analysis involves designing an optimum filter for estimating both the breathing rate and the noiseless breathing waveform. In addition, we use the radar in a bedroom environment above a bed where two subjects sleep next to each other. The accuracy of the breathing monitoring subsystem is more than 97% for human subjects in the bedroom compared with a reference sensor. Also, the correct rate for sleep position detection is more than 83%.

5.
Proc. - IEEE Int. Conf. Bioinform. Bioeng., BIBE ; : 801-806, 2020.
Article in English | Scopus | ID: covidwho-1050261

ABSTRACT

In this paper, we present a novel solution for the remote breathing and sleep position monitoring by using a multi-input-multi-output (MIMO) radar. Our proposed system is able to monitor a number of people simultaneously, and therein we use a high-resolution direction of arrival (DOA) detection for finding closely separated targets. So, it effectively increases the number of target detection and reduces the cost by reducing the number of sensors. Furthermore, our proposed system is capable of identifying the sleep position of each monitored person by selecting appropriate target features and using a support vector machine (SVM) classifier. The breathing analysis involves designing an optimum filter for estimating both the breathing rate and the noiseless breathing waveform. In addition, we use the radar in a bedroom environment above a bed where two subjects sleep next to each other. The accuracy of the breathing monitoring subsystem is more than 97% for human subjects in the bedroom compared with a reference sensor. Also, the correct rate for sleep position detection is more than 83%. © 2020 IEEE.

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