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This study investigated the impact of stay-at-home orders on depressive symptoms among community-dwelling older adults during the early stages of the COVID-19 pandemic. A questionnaire was administered to older adults living in Ayase City, Kanagawa Prefecture, in July 2020, after the Japanese government declared its first COVID-19 state of emergency and stay-at-home order. In a sample of 1056 people, 69.1% were stay-at-home, and 30.9% were not. Those in the first group were more likely to be women, young-old, or non-workers. In addition, the patients tended to have more diseases. Of the participants, 39.3% had depressive symptoms and 60.7% did not. Multivariate analysis revealed that depressive symptoms were associated with increased frequency of being alone during the daytime (OR = 1.27; 95% CI = 1.07, 1.51), less face-to-face contact with friends or acquaintances (OR = 0.78; 95% CI = 0.65, 0.94), increased contact with friends or acquaintances through email/LINE app (OR = 1.29; 95% CI = 1.03, 1.60), and refraining from going out (OR = 1.54; 95% CI = 1.12, 2.09). These results suggest that quarantine measures related to soft lockdowns may aggravate the mental health of community-dwelling older adults. Therefore, it is necessary to consider macro-level policies. [ABSTRACT FROM AUTHOR]

This study aimed to determine the consequences of parents staying at home during the COVID-19 pandemic on the prevalence of parental violence against children. The researcher used a descriptive-analytical technique in this study, and the sample consisted of 350 children who were abused by their parents. The researcher designed a questionnaire to identify the most common forms of parental violence (physical, sexual, verbal, economic, and psychological) against children as a result of the COVID-19 pandemic. The results showed that parents staying at home during the COVID-19 pandemic led to a high prevalence of risks of parental violence against children, at 79.84%. Verbal violence ranked first at 21.3%, followed by psychological violence at 21%. Physical violence came in third place at 20.5%, economic violence at 18.7%, and sexual violence at 18.5%. One of the most important recommendations of this study is the necessity to take a set of serious measures, such as strengthening family values between parents and children, in order to strengthen the family unit in times of crisis, in general, and during the COVID-19 crisis, in particular.

Abstract Background The COVID-19 pandemic in Egypt triggered national preparedness, public engagement, and an integrated response that included social distancing measures, for example, staying at home. We aimed to investigate community awareness of and commitment to complying with the stay-at-home orders in Damietta Governorate, Egypt, during the COVID-19 pandemic. Methods A web-based cross-sectional survey was designed and completed by 500 adult participants from Damietta, Egypt, between April 10 and July 15, 2020. Participants were asked about their sociodemographics, sources of knowledge about COVID-19, awareness of COVID-19 prevention methods, commitment to stay-at-home orders, and their trust in governmental measures, community resources, and emergency services. The participants were classified as stay-at-home responders or nonresponders. Results Of the participants, 18.4% responded to stay-at-home orders; the main reasons for leaving home were buying essentials, especially food, and going to work. Compliance was significant among elderly individuals and those with a history of chronic illness. Nonresponse was significant among individuals who were married, working, or had low family income. More than one-third (39.2%) had good knowledge of effective methods of COVID-19 prevention, and the overall accepted knowledge was significantly higher among stay-at-home responders than nonresponders. Their trust in governmental measures, community resources, and emergency services to manage the pandemic was poor—84.6%, 71.8%, and 79%, respectively—with no significant differences between the groups. Conclusions Participants’ compliance with and engagement in stay-at-home orders in Damietta Governorate, Egypt, was poor. Public response to stay-at-home orders is affected by sociodemographics, and the public’s trust in governmental measures, community resources, and emergency services was poor. Understanding how social distancing is perceived in Egypt is important to provide public support and improve pandemic disease containment.

This study aimed to better understand the factors driving reported trends in domestic violence during the COVID-19 pandemic, particularly the effect of the pandemic on survivors' experiences of violence and ability to seek support. We conducted semi-structured qualitative interviews with 32 DV service providers operating in organizations across 24 U.S. cities. The majority of providers described a decrease in contact volume when shelter-in-place orders were first established, which they attributed to safety concerns, competing survival priorities, and miscommunication about what resources were available. For most organizations, this decrease was followed by an increase in contacts after the lifting of shelter-in-place orders, often surpassing typical contact counts from the pre-pandemic period. Providers identified survivors' ability to return to some aspects of their pre-pandemic lives, increased stress levels, and increased lethality of cases as key factors driving this increase. In addition, providers described several unique challenges faced by DV survivors during the pandemic, such as the use of the virus as an additional tool for control by abusers and an exacerbated lack of social support. These findings provide insight into the lived experiences driving observed trends in DV rates during COVID-19. Understanding the impact of the pandemic on survivors can help to shape public health and policy interventions to better support this vulnerable population during future crises. [ABSTRACT FROM AUTHOR]

Background: The CDC recently reported that firearm homicide rates in the United States increased in 2020, particularly among Black/African American individuals and men 25–44 years old. It is unclear whether firearm hospitalizations also increased, and more importantly, what impact the COVID-19 pandemic and COVID-related policies had. Using the North Carolina Trauma Registry, a statewide registry of trauma admissions to eighteen North Carolina hospitals, we calculated weekly GSW hospitalization rates from 1/2019 to 12/2020, overall and stratified by race-ethnicity, age, and sex. Interrupted time-series design and segmented linear regression were used to estimate changes in weekly hospitalization rates over time after (1) U.S. declaration of a public health emergency; (2) statewide Stay-at-Home order; (3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and (4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Non-GSW assault hospitalizations were used as a control to assess whether trends were observed across all assault hospitalizations or if effects were specific to gun violence. Findings: Overall, 47.3% (n = 3223) of assault hospitalizations were GSW. Among GSW hospitalizations, median age was 27 years old (interquartile range [IQR] 21–25), 86.2% were male, and 49.5% occurred after the U.S. declared a public health emergency. After the Stay-at-Home order was implemented, weekly GSW hospitalization rates began increasing substantially among Black/African American residents (weekly trend change = 0.775, 95% CI = 0.254 to 1.296), peaking at an average 15.6 hospitalizations per 1,000,000 residents. Weekly hospitalization rates declined after restrictions were lifted but remained elevated compared to pre-COVID levels in this group (average weekly rate 10.6 per 1,000,000 at the end of 2020 vs. 8.9 per 1,000,000 pre-pandemic). The Stay-at-Home order was also associated with increasing GSW hospitalization rates among males 25–44 years old (weekly trend change = 1.202, 95% CI = 0.631 to 1.773); rates also remained elevated among 25–44-year-old males after restrictions were lifted in 2020 (average weekly rate 10.1 vs. 7.9 per 1,000,000). Non-GSW hospitalization rates were relatively stable in 2020. Conclusions: The COVID-19 pandemic and statewide Stay-at-Home orders appeared to have placed Black/African American residents and men ages 25–44 at higher risk for GSW hospitalizations, exacerbating pre-existing disparities. Persistent gun violence disparities must be addressed. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic in Egypt triggered national preparedness, public engagement, and an integrated response that included social distancing measures, for example, staying at home. We aimed to investigate community awareness of and commitment to complying with the stay-at-home orders in Damietta Governorate, Egypt, during the COVID-19 pandemic. Methods: A web-based cross-sectional survey was designed and completed by 500 adult participants from Damietta, Egypt, between April 10 and July 15, 2020. Participants were asked about their sociodemographics, sources of knowledge about COVID-19, awareness of COVID-19 prevention methods, commitment to stay-at-home orders, and their trust in governmental measures, community resources, and emergency services. The participants were classified as stay-at-home responders or nonresponders. Results: Of the participants, 18.4% responded to stay-at-home orders; the main reasons for leaving home were buying essentials, especially food, and going to work. Compliance was significant among elderly individuals and those with a history of chronic illness. Nonresponse was significant among individuals who were married, working, or had low family income. More than one-third (39.2%) had good knowledge of effective methods of COVID-19 prevention, and the overall accepted knowledge was significantly higher among stay-at-home responders than nonresponders. Their trust in governmental measures, community resources, and emergency services to manage the pandemic was poor—84.6%, 71.8%, and 79%, respectively—with no significant differences between the groups. Conclusions: Participants' compliance with and engagement in stay-at-home orders in Damietta Governorate, Egypt, was poor. Public response to stay-at-home orders is affected by sociodemographics, and the public's trust in governmental measures, community resources, and emergency services was poor. Understanding how social distancing is perceived in Egypt is important to provide public support and improve pandemic disease containment. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) pandemic has forced restrictions on social activities in some areas. There has also been a decrease in the number of trauma patients in the United States during the COVID-19 pandemic. Chronic subdural hematoma (CSDH) is a traumatic disorder that often develops following head injury. We therefore investigated the impact of the COVID-19 pandemic on CSDH. In this retrospective single-center descriptive study from April 2018 through September 2021, there were 5,282 head trauma patients and 196 patients with CSDH in the pre-pandemic group compared to 4,459 head trauma patients and 140 patients with CSDH in the intra-pandemic group. Significant decreases in the incidence rate (IR) of head trauma (951/100,000 vs. 795/100,000 person-years; IR ratio (IRR): 0.836, 95% confidence interval (CI): 0.803–0.870, p < 0.001) and also in the IR of CSDH (35.0/100,000 vs. 24.8/100,000 person-years, IRR: 0.708, 95% CI: 0.570–0.879, p = 0.002) were seen in the intra-pandemic group compared to the pre-pandemic group. In this study, the COVID-19 pandemic was associated with significant decreases in the IRs of head trauma and CSDH due to forced restrictions on social activities. Besides, the IR of mild cases of CSDH was significantly lower in the intra-pandemic group than in the pre-pandemic group (IRR: 0.68, 95% CI: 0.51–0.89, p = 0.006). Fewer people being out in communities should result in fewer chances for head trauma and CSDH. On the other hand, forced restrictions on social activities due to the COVID-19 pandemic should aggravate CSDH. [ABSTRACT FROM AUTHOR]

We visualize the rates of stay-home for residents by region using the difference between day-time and night-time populations to detect residential areas, and then observing the numbers of people leaving residential areas. There are issues with measuring stay-home rates by observing numbers of people visiting downtown areas, such as central urban shopping centers and major train stations. The first is that we cannot eliminate the possibility that people will avoid areas being observed and go to other areas. The second is that for people visiting downtown areas, we cannot know where they reside. These issues can be resolved if we quantify the degree of stay-home using the number of people leaving residential areas. There are significant differences in stay-home levels by region throughout Japan. By this visualization, residents of each region can see whether their level of stay-home is adequate or not, and this can provide incentive toward compliance suited to the residents of the region. [ABSTRACT FROM AUTHOR]

This study sought to determine the impact of coronavirus disease 2019 stay-at-home (SAH) and reopening orders on trends and types of firearm violence in California, Ohio, and the United States, hypothesizing increased firearm violence after SAH. Retrospective data (January 1, 2018, to July 31, 2020) on firearm incidents/injuries/deaths and types of firearm violence were obtained from the Gun Violence Archive. The periods for SAH and reopening for the US were based on dates for California. Ohio dates were based on Ohio's timeline. Mann–Whitney U analyses compared trends and types of daily firearm violence per 100,000 legal firearm owners across 2018-2020 periods. In California, SAH and reopening orders had no effect on firearm violence in 2020 compared with 2018 and 2019 periods, respectively. In Ohio, daily median firearm deaths increased during 2020 SAH compared with 2018 and 2019 and firearm incidents and injuries increased during 2020 reopening compared with 2018, 2019 and 2020 SAH. In the United States, during 2020, SAH firearm deaths increased compared with historical controls and firearm incidents, deaths and injuries increased during 2020 reopening compared with 2018, 2019 and 2020 SAH (all P < 0.05). Nationally, when compared with 2018 and 2019, 2020 SAH had increased accidental shootings deaths with a decrease in defensive use, home invasion, and drug-involved incidents. During 2020 SAH, the rates of firearm violence increased in Ohio and the United States but remained unchanged in California. Nationally, firearm incidents, deaths and injuries also increased during 2020 reopening versus historical and 2020 SAH data. This suggests a secondary "pandemic" as well as a "reopening phenomenon," with increased firearm violence not resulting from self-defense. • Defensive forms of firearm violence decreased in the US during SAH. • Ohio had increased firearm deaths during SAH, whereas California did not. • Nationally there was increased firearm violence during the reopening, suggesting a "reopening phenomenon". [ABSTRACT FROM AUTHOR]

Objective: Although anecdotal evidence indicates the effectiveness of coronavirus disease 2019 (COVID-19) social-distancing policies, their effectiveness in relation to what is driven by public awareness and voluntary actions needs to be determined. We evaluated the effectiveness of the 6 most common social-distancing policies in the United States (statewide stay-at-home orders, limited stay-at-home orders, nonessential business closures, bans on large gatherings, school closure mandates, and limits on restaurants and bars) during the early stage of the pandemic. Methods: We applied difference-in-differences and event-study methodologies to evaluate the effect of the 6 social-distancing policies on Google-released aggregated, anonymized daily location data on movement trends over time by state for all 50 states and the District of Columbia in 6 location categories: retail and recreation, grocery stores and pharmacies, parks, transit stations, workplaces, and residences. We compared the outcome of interest in states that adopted COVID-19–related policies with states that did not adopt such policies, before and after these policies took effect during February 15–April 25, 2020. Results: Statewide stay-at-home orders had the strongest effect on reducing out-of-home mobility and increased the time people spent at home by an estimated 2.5 percentage points (15.2%) from before to after policies took effect. Limits on restaurants and bars ranked second and resulted in an increase in presence at home by an estimated 1.4 percentage points (8.5%). The other 4 policies did not significantly reduce mobility. Conclusion: Statewide stay-at-home orders and limits on bars and restaurants were most closely linked to reduced mobility in the early stages of the COVID-19 pandemic, whereas the potential benefits of other such policies may have already been reaped from voluntary social distancing. Further research is needed to understand how the effect of social-distancing policies changes as voluntary social distancing wanes during later stages of a pandemic. [ABSTRACT FROM AUTHOR]

Background: The coronavirus pandemic presented a unique opportunity to study the daily temporal patterns and sleep habits of humans. The question to be explored was: Are there discernible differences in sleep between the normal operational environment and the stay-at-home condition?Methods: This international prospective study analyzed results from the sleep-wake patterns questionnaire, daily logs, and interviews. Surveys were administered to the healthy volunteers (age 15-60 y) with stay-at-home for a month or more, without previous sleep disorders and mood-related complaints; volunteers were not involved in online education/work daily timetable-related activities.Results: We analyzed 3787 subjects with average stay-at-home of 65 ± 9 days. The most significant changes in sleep occurred during the first ten days when the difference between weekdays and weekends disappeared and changes occurred in napping habits. The majority of the participants (66.8%) shifted toward eveningness when the self-selected sleep was possible and 1869 volunteers appeared to be owls (49.4%), 823 (21.7%) exercised "typical" sleep, 478 (12.6%) were larks, and 617 (16.3%) participants were completely desynchronized to the end of stay-at-home. In addition, 497 participants (13.1%) alternated their sleep habits. The most of the desynchronized participants (n = 414) were older than 50 years (age correlation r = 0.80), and predominantly males (n = 297, r = 0.76).Conclusion: In self-selected sleep conditions, the timing of sleep and sleep habits significantly differ from those of socially and economically fixed daily routine conditions. The changes in daily temporal patterns of humans during a prolonged stay-at-home situation indicate that human sleep habits may change according to existing living conditions. [ABSTRACT FROM AUTHOR]

This article analyzes which characteristics are correlated with mobility reductions during the COVID-19 pandemic, using census-division-level mobility data for Canada from Facebook. There is significant variation in the extent to which social distancing was applied in April, relative to a preperiod of February. I find that the population and population density of a census division are strongly correlated with larger mobility reductions. Conversely, I find that areas with a larger share of dwellings that are apartments exhibit smaller mobility reductions, suggesting that those in tighter living conditions may find it less possible to stay at home during the pandemic. Finally, I examine the persistence of mobility reductions into May and show that areas with a larger apartment dwelling share are more likely to maintain their social distancing over time. [ABSTRACT FROM AUTHOR]

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How might confidence in government shape the negative association often found between stay-home mandates and mental health? Using a nationally representative sample of UK residents (N = 32,108), we showed that although the stay-home order during the COVID-19 pandemic lowered people's life satisfaction and increased their mental distress, this was moderated by confidence in government. Specifically, the mental health toll of movement restrictions was reliably reduced amongst citizens who had a high degree of confidence in their government, especially when the restrictions were stringent and when people were strongly adhering to this mandate. We conclude with recommendations that could help to optimize public trust in government. • Stay home mandates during the COVID-19 pandemic can undermine mental health. • Confidence in government helps to mitigate this adverse effect. • The confidence effect is visible when mandate is stringent and people adhere to it. [ABSTRACT FROM AUTHOR]

To combat the global COVID-19 crisis, governments and health organizations rely on collective cooperation among every ordinary individual to adhere to non-pharmaceutical interventions (NPIs), such physical distancing which includes, as examined in our study, staying at home. Thus, we ask the question: do individual differences in how individuals see themselves as connected to or separated from others (i.e., independent vs. interdependent self-construal) predict their stay-at-home adherence? In an online study (N = 358; 47.1% female, M age = 40.48; 74.02% White), we measured trait self-construal, inclusion of others in the self (IOS), self-control and likelihood to stay-at-home in various scenarios. Results revealed a significant indirect, sequential effect of self-construal on stay-at-home adherence via IOS and self-control. Specifically, participants with a more accessible interdependent (vs. independent) self-construal reported higher stay-at-home adherence intentions as a consequence of greater IOS and self-control. Theoretical and practical implications are discussed. • Trait self-construal predicts stay-at-home likelihood during the COVID-19 pandemic. • Interdependent self-construal predicts the inclusion of others in the self. • Inclusion of others in the self predicts trait self-control. • Self-control predicts stay-at-home likelihood. [ABSTRACT FROM AUTHOR]

• I study effects of movement restrictions on mobility during the COVID-19 pandemic. • Movement restrictions have led to larger effects in Europe than in the U.S. • Only a few U.S. states are comparable to Europe's average in terms of effect size. • The effectiveness of restrictions provides public health policy implications. During the COVID-19 pandemic, both the U.S. and Europe have issued movement restrictions with the exception of visits to essential services, including groceries and pharmacies. Using Google's data on community mobility, I employ an event-study design to compare the effects of movement restrictions on physical mobility in the U.S. and Europe. I find that compared to Europe, the U.S. has higher levels of mobility related to visits to groceries and pharmacies and lower levels of the residential presence relative to baseline values, and the differences are not only statistically significant but also of large magnitudes. Such differences in post-restriction mobility are still significant between Europe and the U.S.' early epicenters of COVID-19. The main results of this paper are robust to changes in samples and specifications. These findings suggest that movement restrictions appear to be less effective in the U.S., which have useful implications for health policy evaluation, pandemic forecasting, and economic recovery. [ABSTRACT FROM AUTHOR]

Objective: The anxiety-related insomnia and other sleep disorders were mentioned as possible side effects of quarantine and stay-at-home conditions. The questions to be explored were: Are there discernable differences in hours of sleep and sleep habits between the normal operational environment and the stay-at-home condition? and How seriously anxiety-induced insomnia or other sleep disorders may affect individuals during the stay-at-home?Methods: This international prospective study analyzed results from the sleep-wake patterns questionnaire, daily logs, and interviews. During COVID-19 pandemic, surveys were administered to the healthy volunteers with stay-at-home for 14 days or more, without previous sleep disorders; volunteers were not involved in online education/work daily timetable-related activities.Results: We analyzed 14,000 subjects from 11 countries with average stay-at-home of 62 days. The most significant changes in sleep occurred during the first 14 days of stay-at-home. The difference in the sleep duration between weekdays and weekends disappeared. Most of the participants discontinued using alarm clocks. The total sleep time increased in duration up to 9:10 ± 1:16 to the end of the quarantine/stay-at-home (+1:34, p = 0.02). The age-dependent changes in napping habits occurred. Only 1.8% of participants indicated insomnia during the first 14-day period with a decline to 0.5% after two months of stay-at-home.Conclusion: During the stay-at-home situation, both duration and timing of sleep significantly differ from those of daily routine and most humans sleep longer than in a schedule-dependent operational environment. An appearance of anxiety-induced insomnia is extremely rare if a healthy individual is already in the stay-at-home situation. [ABSTRACT FROM AUTHOR]

The lockdowns due to the COVID-19 pandemic have been reported to reduce ambient air pollution in many cities globally. This study aims to examine whether air pollution dropped in Memphis, a typical U.S. metropolitan city and transportation hub, during the lockdown from 25 March to 4 May, 2020. Daily air pollution data measured at five representative monitoring stations in the Memphis Metropolitan Area were downloaded from the U.S. Environmental Protection Agency's Air Quality System. The mean concentrations of fine particulate matter (PM2.5), nitrogen dioxide (NO2), and ozone during the lockdown were compared with the baseline concentrations measured during the same periods in 2017–2019 using linear regression models. The average vehicle miles traveled (VMT) reduced by 57% in this region during the lockdown compared to that during 1–24 March, 2020. The mean (± standard deviation) concentrations of PM2.5, NO2, and ozone were 7.5 ± 2.6 μg/m3, 16.5 ± 9.4 ppb, and 44.5 ± 8.4 ppb, respectively, during the lockdown. They did not statistically differ from the baseline concentrations, nor were they lower than the mean concentrations in the prior month (25 February–24 March, 2020), after accounting for meteorological conditions. The lack of effect could be explained by the small contribution of traffic emissions to air pollution. The results suggest that the "stay-at-home" order had an insignificant impact on reducing air pollution in Memphis. [ABSTRACT FROM AUTHOR]