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1.
Laryngoscope Investig Otolaryngol ; 7(6): 1704-1711, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2173280

ABSTRACT

Background: COVID-19 measures such as masking, social distancing, and staying indoors may mitigate chronic rhinosinusitis (CRS) symptoms. We evaluate whether these measures correlated with improved symptoms in patients with CRS. Methods: This retrospective study compared SNOT-22 survey data from the Northwestern CRS Registry at the time of enrollment and at years 1-5 of follow-up. The final sample consisted of 1826 SNOT-22 surveys for 598 patients. April 10, 2020 to December 31, 2021 was considered "during the pandemic" and prior to March 11, 2020 was considered "pre-pandemic." Wilcoxon test was used to compare SNOT22 at enrollment pre-pandemic versus during pandemic. Separate linear mixed models were performed to estimate SNOT22 at 1 to 5 years after enrollment pre-pandemic versus during pandemic. Results: Subjects enrolled during the pandemic had worse SNOT22 scores than those enrolled pre-pandemic (53 vs. 42, p = .0024). Total SNOT-22 scores were improved during the pandemic than before the pandemic at 1 year follow-up (18.17 vs. 12.22, p = .001). This effect persists when evaluating the nasal (7.33 vs. 5.13, p = .003), sleep (2.63 vs. 1.39, p = .008), function (1.40 vs. 0.72, p = .015), and emotion (0.77 vs. 0.17, p < .001) domains individually. There was no statistically significant difference in total SNOT-22 score at Years 2-5 of follow-up. Conclusions: Patients with CRS experience a greater reduction in symptom severity in their first year of treatment during the pandemic than before the pandemic, plausibly from measures such as masking and staying indoors. Level of Evidence: 4.

2.
Journal of Medical Internet Research Vol 23(2), 2021, ArtID e25454 ; 23(2), 2021.
Article in English | APA PsycInfo | ID: covidwho-1451697

ABSTRACT

Background: Government responses to managing the COVID-19 pandemic may have impacted the way individuals were able to engage in physical activity. Digital platforms are a promising way to support physical activity levels and may have provided an alternative for people to maintain their activity while at home. Objective: This study aimed to examine associations between the use of digital platforms and adherence to the physical activity guidelines among Australian adults and adolescents during the COVID-19 stay-at-home restrictions in April and May 2020. Methods: A national online survey was distributed in May 2020. Participants included 1188 adults (mean age 37.4 years, SD 15.1;980/1188, 82.5% female) and 963 adolescents (mean age 16.2 years, SD 1.2;685/963, 71.1% female). Participants reported demographic characteristics, use of digital platforms for physical activity over the previous month, and adherence to moderate- to vigorous-intensity physical activity (MVPA) and muscle-strengthening exercise (MSE) guidelines. Multilevel logistic regression models examined differences in guideline adherence between those who used digital platforms (ie, users) to support their physical activity compared to those who did not (ie, nonusers). Results: Digital platforms include streaming services for exercise (eg, YouTube, Instagram, and Facebook);subscriber fitness programs, via an app or online (eg, Centr and MyFitnessPal);facilitated online live or recorded classes, via platforms such as Zoom (eg, dance, sport training, and fitness class);sport- or activity-specific apps designed by sporting organizations for participants to keep up their skills (eg, TeamBuildr);active electronic games (eg, Xbox Kinect);and/or online or digital training or racing platforms (eg, Zwift, FullGaz, and Rouvy). Overall, 39.5% (469/1188) of adults and 26.5% (255/963) of adolescents reported using digital platforms for physical activity. Among adults, MVPA (odds ratio [OR] 2.0, 95% CI 1.5-2.7), MSE (OR 3.3, 95% CI 2.5-4.5), and combined (OR 2.7, 95% CI 2.0-3.8) guideline adherence were higher among digital platform users relative to nonusers. Adolescents' MVPA (OR 2.4, 95% CI 1.3-4.3), MSE (OR 3.1, 95% CI 2.1-4.4), and combined (OR 4.3, 95% CI 2.1-9.0) guideline adherence were also higher among users of digital platforms relative to nonusers. Conclusions: Digital platform users were more likely than nonusers to meet MVPA and MSE guidelines during the COVID-19 stay-at-home restrictions in April and May 2020. Digital platforms may play a critical role in helping to support physical activity engagement when access to facilities or opportunities for physical activity outside the home are restricted. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

3.
J Med Internet Res ; 23(2): e25454, 2021 02 01.
Article in English | MEDLINE | ID: covidwho-1058365

ABSTRACT

BACKGROUND: The COVID-19 pandemic has had a profound global impact on governments, health care systems, economies, and populations around the world. Within the East Asia and Pacific region, some countries have mitigated the spread of the novel coronavirus effectively and largely avoided severe negative consequences, while others still struggle with containment. As the second wave reaches East Asia and the Pacific, it becomes more evident that additional SARS-CoV-2 surveillance is needed to track recent shifts, rates of increase, and persistence associated with the pandemic. OBJECTIVE: The goal of this study is to provide advanced surveillance metrics for COVID-19 transmission that account for speed, acceleration, jerk, persistence, and weekly shifts, to better understand country risk for explosive growth and those countries who are managing the pandemic successfully. Existing surveillance coupled with our dynamic metrics of transmission will inform health policy to control the COVID-19 pandemic until an effective vaccine is developed. We provide novel indicators to measure disease transmission. METHODS: Using a longitudinal trend analysis study design, we extracted 330 days of COVID-19 data from public health registries. We used an empirical difference equation to measure the daily number of cases in East Asia and the Pacific as a function of the prior number of cases, the level of testing, and weekly shift variables based on a dynamic panel model that was estimated using the generalized method of moments approach by implementing the Arellano-Bond estimator in R. RESULTS: The standard surveillance metrics for Indonesia, the Philippines, and Myanmar were concerning as they had the largest new caseloads at 4301, 2588, and 1387, respectively. When looking at the acceleration of new COVID-19 infections, we found that French Polynesia, Malaysia, and the Philippines had rates at 3.17, 0.22, and 0.06 per 100,000. These three countries also ranked highest in terms of jerk at 15.45, 0.10, and 0.04, respectively. CONCLUSIONS: Two of the most populous countries in East Asia and the Pacific, Indonesia and the Philippines, have alarming surveillance metrics. These two countries rank highest in new infections in the region. The highest rates of speed, acceleration, and positive upwards jerk belong to French Polynesia, Malaysia, and the Philippines, and may result in explosive growth. While all countries in East Asia and the Pacific need to be cautious about reopening their countries since outbreaks are likely to occur in the second wave of COVID-19, the country of greatest concern is the Philippines. Based on standard and enhanced surveillance, the Philippines has not gained control of the COVID-19 epidemic, which is particularly troubling because the country ranks 4th in population in the region. Without extreme and rigid social distancing, quarantines, hygiene, and masking to reverse trends, the Philippines will remain on the global top 5 list of worst COVID-19 outbreaks resulting in high morbidity and mortality. The second wave will only exacerbate existing conditions and increase COVID-19 transmissions.


Subject(s)
COVID-19/epidemiology , Asia, Southeastern/epidemiology , Australasia/epidemiology , COVID-19/transmission , Asia, Eastern/epidemiology , Health Policy , Humans , Indonesia/epidemiology , Longitudinal Studies , Malaysia/epidemiology , Pandemics , Philippines/epidemiology , Polynesia/epidemiology , Public Health , Public Health Surveillance , Registries , SARS-CoV-2
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