In 2020, most countries around the world have observed varying degrees of public lockdown measures to mitigate the transmission of SARS-CoV-2. As an unintended consequence of reduced transportation and industrial activities, air quality has dramatically improved in many major cities around the world. In this paper, we analyze the environmental impact of the lockdown measures on concentration levels in 48 core-based statistical areas (CBSA) of the United States, during the pre and post-lockdown period of January to June 2020. We model the effect of lockdown on the concentration in different CBSAs while adjusting for various meteorological factors like temperature, wind-speed, precipitation and snow. Linear mixed effects models and functional regression methods with random intercepts are employed to capture the heterogeneity of the effect across different regions. Our analysis shows there is a statistically significant reduction in levels of across most of the regions during the lock-down period, although interestingly, this effect is not uniform across all the CBSAs under consideration.
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http://dx.doi.org/10.1016/j.atmosenv.2021.118388 | DOI Listing |
J Clin Psychiatry
January 2025
Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia.
The COVID-19 pandemic was an unprecedented global health crisis. Vulnerable populations with preexisting mental illness have been disproportionately burdened and may experience adverse mental health outcomes related to the COVID-19 pandemic. Our objective was to evaluate the association between COVID-19 diagnosis, known exposure to COVID-19, sheltering in place, symptom severity, psychological distress, and depression severity among adults with severe mental illness (SMI).
View Article and Find Full Text PDFFront Pediatr
January 2025
Cluster for Health Services Research, Norwegian Institute of Public Health, Oslo, Norway.
Aim: Healthcare services are in need of tools that can help to ensure a sufficient capacity in periods with high prevalence of respiratory tract infections (RTIs). During the COVID-19 pandemic, we forecasted the number of hospital admissions for RTIs among children aged 0-5 years. Now, in 2024, we aim to examine the accuracy and usefulness of our forecast models.
View Article and Find Full Text PDFCent Eur J Public Health
December 2024
Department of Radiology, AGEL Hospital, Levoca, Slovak Republic.
Objectives: Many studies draw attention to the negative consequences of the pandemic or lockdown on the well-being and lifestyle of different sections of the population. This study considers whether changes occurred in dietary regime and level of physical activity during three periods - before the pandemic, during the lockdown, and during the present in older Slovak adults. We also investigate whether individual weights changed during the pandemic.
View Article and Find Full Text PDFBehav Med
January 2025
Clinical Research Institute, Department of Internal Medicine, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
Several studies report significant changes in lifestyle habits during the COVID-19 pandemic, yet results are largely heterogeneous across populations. We examined changes in lifestyle and health behaviors during the first COVID-19 lockdown in Lebanon and assessed whether mental and physical health indicators and outbreak- and lockdown-related factors are related to these changes. Data come from a cross-sectional online survey (May-June 2020) which assessed changes in smoking, alcohol, diet, eating behavior, physical activity, sleep hours, sleep satisfaction, social media use, self-rated health, and life satisfaction ( = 494).
View Article and Find Full Text PDFTunis Med
January 2025
The university hospital of Farhat Hached Sousse, Faculty of Medicine of Sousse, University of Sousse.
Background: COVID-19 lockdown measures have profoundly altered lifestyle habits, exposing individuals to significant health risks Aim: This study aims to assess the impact of quarantine measures in Tunisia, with a focus on examining changes in dietary habits, levels of physical activity, psychological patterns, and factors contributing to weight gain.
Methods: This is a cross-sectional study involving 1,016 participants and employed a mixed-methods approach to gather data on dietary habits, physical activity levels, and psychological indicators. Statistical analyses, including binary logistic regression, were conducted to identify independent risk factors associated with weight gain during the quarantine period.
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