Improved treatment adherence and allergic disease control during a COVID-19 pandemic lockdown.
Ontology highlight
ABSTRACT:
SUBMITTER: Chan Ng PPL
PROVIDER: S-EPMC8646784 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description: Not available
| S-EPMC8236997 | biostudies-literature
Project description:BackgroundSince the onset of the COVID-19 pandemic in December 2019, many countries around the world have imposed lockdown measures in order to reduce virus spread. Social isolation is known to have a significant psychological impact, potentially triggering alcohol misuse in adults. In our study, we aimed to investigate the effect of COVID-19 lockdown measures on alcohol consumption in adults in Bavaria.MethodsIn this cross-sectional study, we enrolled 2067 participants, with 1961 young adults (mean age 23.3 ± 4.1) and 106 mature adults (mean age 66.7 ± 9.7). Participants were asked to complete a standardized questionnaire, semi-quantitatively evaluating the alcohol drinking behaviour before and during the pandemic lockdown.ResultsAfter implementation of lockdown, the alteration of alcohol consumption was significantly different between young and mature adults (p < 0.001). Among young adults, 42% reported unchanged drinking behaviour compared to 76% in the mature adult group; 44% of young adults reported to drink less compared to only 7% of mature adults. An increase in alcohol consumption was only reported by 14% of young adults and 17% of mature adults. Interestingly, in the entire cohort, the change of alcohol intake was most pronounced among moderate drinkers (> 0 to < 5 drinks/week) in both age groups (p < 0.001). Ordinal logistic regression revealed female sex, low BMI and younger age to be associated with a decrease in number of self-reported drinks/week.ConclusionThe COVID-19 pandemic lockdown significantly affected alcohol drinking behaviour. Further studies exploring long-term effects on potential alcohol misuse and the relevance on public health are warranted.Trial registrationThe study was retrospectively registered at ClinicalTrials.gov ( NCT04361877 ) on April 24, 2020.
| S-EPMC8112739 | biostudies-literature
Project description:As the COVID-19 spreads across the world, many nations impose lockdown measures at the early stage of the pandemic to prevent the spread of the disease. Controversy surrounds the lockdown as it is a choice between economic freedom and public health. The ultimate solution to a pandemic is to vaccinate a massive population to achieve herd immunity. However, the whole vaccination programme is a long and complicated process. The virus and the vaccine will persist for quite a long time. How to gradually ease the lockdown based on vaccination progress is an important issue, as both economic and epidemiological issues are involved. In this paper, we extend the classic SIR model to find optimal decision making to balance between economy and public health in the process of vaccination rollout. The model provides an approach of vaccine value estimation. Our results provide scientific suggestion for policymakers to make important decisions about when to start the lockdown and how strong it should be over the entire vaccination cycle.
| S-EPMC8119293 | biostudies-literature
Project description:The role of shared identity in predicting both ingroup helping behaviour and adherence to protective norms during COVID-19 has been extensively theorized, but remains largely under-investigated. We build upon previous Social Identity research into community resilience by testing the role of pre-existing local community (or 'neighbourhood') identity as a predictor of these outcomes, via the mediator of perceived social support. Community residents in the UK completed a longitudinal online survey four months before lockdown (T1; N = 253), one month before lockdown (T2; N = 217), and two months into lockdown (T3; N = 149). The cross-lagged panel analysis shows that T1 community identification predicts T3 giving and receiving of pandemic-related support, and that these effects occur via the perception of community support at the second time point (while the alternative pathway from T1 support via T2 identification is non-significant). Moreover, we show that T1 community identification also directly predicts lockdown adherence at T3. Our findings point to the pivotal role played by community identity in effective behavioural responses to the pandemic, and the need to support and foster community development to facilitate local community resilience as the crisis continues to unfold.
| S-EPMC8236966 | biostudies-literature
Project description: Not available
| S-BSST1055 | biostudies-other
Project description:Currently world is fighting with global pandemic of coronavirus disease 2019 (COVID-19). At this time of uncertainty, oncologists are struggling to provide appropriate care to cancer patients. They have to weigh risk and benefit of giving cancer treatment vs chances of getting them infected with COVID-19. As cancer patients are immunocompromised and there are high chances of exposure during hospital visits and if they get infected, outcome can be fatal. So through the column of this article, we would like to provide basic guideline in management of cancer patients during COVID-19 pandemic.
| S-EPMC7256336 | biostudies-literature
Project description:PurposeThe COVID-19 pandemic and the implemented lockdown strongly impact on everyone's daily life. Stressful situations are known to alter eating habits and increase the risk for obesity. In our study, we aimed to investigate the effect of the lockdown measures on nutrition behavior among young adults.MethodsIn this cross-sectional study, we enrolled 1964 voluntary participants from Bavarian universities. All participants were asked to complete an online questionnaire, semi-quantitatively evaluating the amount and type of food before and during pandemic lockdown. Study subjects were inquired to give information about acquisition and food procurement. The primary outcome was the change in food amount, secondary outcomes included alterations of food composition and procurement.ResultsOur study cohort (mean age 23.3 ± 4.0 years, 28.5% male) had a mean body mass index of 22.1 ± 4.5 kg/m2. The overall food amount increased in 31.2% of participants (n = 610) during lockdown and decreased in 16.8% (n = 328). A multinominal regression model revealed that an increased food intake was less likely in male participants (OR, 0.7 [CI 0.6-0.9]) and more likely with increasing BMI (OR, 1.4 [CI 1.3-2.0]), increased sports activity (OR, 1.3 [CI 1.2-1.8]), augmented mental stress (OR 1.4 [1.1-1.7]), and an alteration of alcohol consumption (reduced alcohol amount, OR, 1.4 [CI 1.1-1.7], increased alcohol, OR, 1.9 [CI 1.4-2.5]). Increase in food intake was mainly triggered by consumption of bread (increased in 46.8%, n = 284) and confectionary (increased in 64.4%, n = 389).ConclusionThe COVID-19 pandemic lockdown significantly affected eating habits in young adults. Further investigation to evaluate long-term effects on weight change and comorbidities are warranted.
| S-EPMC7705857 | biostudies-literature
Project description:To understand and analyse the global impact of COVID-19 on outpatient services, inpatient care, elective surgery, and perioperative colorectal cancer care, a DElayed COloRectal cancer surgery (DECOR-19) survey was conducted in collaboration with numerous international colorectal societies with the objective of obtaining several learning points from the impact of the COVID-19 outbreak on our colorectal cancer patients which will assist us in the ongoing management of our colorectal cancer patients and to provide us safe oncological pathways for future outbreaks.
| 2346925 | ecrin-mdr-crc
Project description:We used crowdsourcing (CS) to examine how COVID-19 lockdown affects the content of dreams and nightmares. The CS took place on the sixth week of the lockdown. Over the course of 1 week, 4,275 respondents (mean age 43, SD = 14 years) assessed their sleep, and 811 reported their dream content. Overall, respondents slept substantially more (54.2%) but reported an average increase of awakenings (28.6%) and nightmares (26%) from the pre-pandemic situation. We transcribed the content of the dreams into word lists and performed unsupervised computational network and cluster analysis of word associations, which suggested 33 dream clusters including 20 bad dream clusters, of which 55% were pandemic-specific (e.g., Disease Management, Disregard of Distancing, Elderly in Trouble). The dream-association networks were more accentuated for those who reported an increase in perceived stress. This CS survey on dream-association networks and pandemic stress introduces novel, collectively shared COVID-19 bad dream contents.
| S-EPMC7560506 | biostudies-literature
Project description:The coronavirus-disease 2019 (COVID-19) outbreak precipitated prolonged lock-down measures. The subsequent social distancing, isolation, and reduction in mobility increased psychological stress, which may worsen Parkinson's disease (PD). Therefore, telemedicine has been proposed to provide care to PD patients. To evaluate the effects of lock-down on motor and nonmotor symptoms in PD patients during the COVID-19 pandemic and the feasibility of telemedicine. Motor and nonmotor aspects were longitudinally assessed using structured questionnaires at baseline (in-person, February 2020) and at follow-up (remote web-based video, lock-down) evaluation. Of the seventeen PD patients evaluated at baseline, fourteen agreed to participate in, and completed follow-up evaluations. There was an impairment of nonmotor aspects measured with the MDS-UPDRS part I (p < 0.001) during lock-down. Nine patients participated independently in the telemedicine evaluation while five needed help from relatives. Our preliminary findings suggest an impairment of nonmotor symptoms in PD patients and support the feasibility and need for telemedicine in monitoring PD patients during the COVID-19 pandemic, to guarantee optimal assistance with reducing the burden of infection. Our findings also suggest that movement disorder clinics should be carefully considering socio-demographics and clinical features when developing telemedicine programs.
| S-EPMC8248756 | biostudies-literature