Screen time and depression risk: A meta-analysis of cohort studies.

Background: The impact of screen time on mental health, including depression, has attracted increasing attention from not only children and adolescents but also the elderly. Thus, we conducted a meta-analysis of cohort studies to evaluate the association between screen time and depression risk. Methods: The PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched for cohort studies up to May 2022, and the reference lists of the included studies were also retrieved. A random-effect model was used to estimate the combined effect size. Heterogeneity was assessed with the I 2 statistic. Potential publication bias was evaluated using a funnel plot and Begg's and Egger's tests. Results: The final analysis included 18 cohort studies with a combined total of 241,398 participants. The pooled risk ratio (RR) was 1.10 (95% confidence interval: 1.05-1.14), with significant heterogeneity (I 2 = 82.7%, P < 0.001). The results of subgroup analyses showed that the pooled RRs varied according to geographic locations, gender, age group, screen time in the control group, depression at the baseline, and whether the study was conducted during the COVID-19 pandemic. No obvious evidence of publication bias was found. Conclusion: This study indicates that screen time is a predictor of depressive symptoms. The effects of screen time on depression risk may vary based on the participant's age, gender, location, and screen time duration. The findings could have important implications for the prevention of depression.

The dynamic evolution mechanism of public health risk perception and the choice of policy tools in the post-epidemic era: Evidence from China.

Objectives: Repeated outbreaks of small-intensity epidemics are one of the important features of the post-epidemic era. After a new round of epidemics broke out in Liaoning in mid-May 2021, the Chinese government's vaccination process quickly accelerated, completing nearly 100 million doses of COVID-19 vaccination within 7 days. How is this efficient policy implementation process accomplished? What is the behavioral logic behind it? Methods: This article constructs an analysis framework of "perception-goal-tool". Trying to study the individual's micro-psychological mechanism as a starting point, with the help of a Health Belief Model, to explore the dynamic evolution of individual health risk perception before and after the outbreak of a small-intensity epidemic and its impact on vaccination willingness. And on this basis, analyze the flexible governance process of the Chinese government in the post-epidemic period. Results: The perceived severity is the core variable that affects the public's willingness to vaccinate. A small-intensity epidemic outbreak will aggravate the impact of the three health belief components on the public's willingness to vaccinate. In the three interactive analyses of health belief components, individuals have the highest willingness to inoculate in situations of low perceived susceptibility, low perception barriers, and high perception severity, and economic policy tools and authoritative policy tools play a key role before and after the outbreak of a small-intensity epidemic. Conclusion: In the context of a small-intensity epidemic, the reason why the Chinese government can achieve rapid crisis management lies in the interaction between policy goals, policy tools, and public risk perception.

Prevalence and Risk Factors of Home Quarantine Strategy Implementation Among Chinese Residents During the Coronavirus Disease 2019 Pandemic.

Background: Home quarantine is an important strategy to contain the mass spread of the coronavirus disease 2019 (COVID-19) pandemic. However, there are a dearth of studies on the prevalence and risk factors of home quarantine strategy implementation among residents. This study aims to assess the state of home quarantine strategy implementation among Chinese residents, which could provide a reference for quarantine policymakers around the world during the pandemic. Method: We conducted a cross-sectional survey of 3,398 residents in China by adopting a convenience sampling strategy. We measured the prevalence and risk factors of home quarantine strategy implementation with the Center for Epidemiological Studies-Depression Scale (CES-D), 10-item Connor-Davidson Resilience Scale (CD-RISC 10), and Perceived Social Support Scale (PSSS). A multivariable model was used to determine the factors associated with home quarantine strategy implementation. Results: A total of 2,936 (86.4%) respondents carried out home quarantine. There were some factors significantly associated with home quarantine strategy implementation among Chinese residents during the COVID-19 outbreak. Respondents who were male, lived in western and central China, were aware of the primary symptoms of COVID-19, were willing to accept recommendations on relevant protective measures, understood local quarantine measures, had better resilience, and had better social support were more likely to engage in home quarantine. Respondents who were married, were employed, were healthy, and had high depression scores were more likely to refuse to follow home quarantine guidance. Conclusions: Gender, region, marital status, employment status, health status, awareness of the primary symptoms of COVID-19, willingness to accept recommendations on relevant protective measures, understanding of local quarantine measures, depression, psychological resilience, and perceived social support were the main factors affecting the implementation of residents' home quarantine strategy. Health service policymakers should adopt relevant measures to improve the prevalence of home quarantine strategy implementation among residents during the pandemic.

Birds of a feather lockdown together: Mutual bird-human benefits during a global pandemic

Feeding backyard wildlife has impure public good characteristics - it provides satisfaction to humans, both private and public, while also improving bird populations. We document a surge in human interest in connecting with wild birds during lockdowns in response to the Covid-19 pandemic. Using an event-study design, we find large increases in bird engagement began soon after the start of the COVID-19 lockdowns in Spring 2020. Responses were stronger for areas with more bird species. Investments appear sustained, beginning first with bird feeders, then seed and finally baths. Beyond bird survival, bird feeding can potentially enhance humans' connection to nature and improving human well-being. Increases in bird engagement in response to lockdowns may have been good for humans and good for birds.

Stay-at-home orders and the willingness to stay home during the COVID-19 pandemic: A stated-preference discrete choice experiment.

The spread of COVID-19 in the Spring of 2020 prompted state and local governments to implement a variety of policies, including stay-at-home (SAH) orders and mandatory mask requirements, aimed at reducing the infection rate and the severity of the pandemic's impact. We implement a discrete choice experiment survey in three major U.S. States-California, Georgia, and Illinois-to empirically quantify individuals' willingness to stay (WTS) home, measured as the number of weeks of a potential new SAH order, to prevent the spread of the COVID-19 disease and explore factors leading to their heterogeneous WTS. Our results demonstrate broad support for statewide mask mandates. In addition, the estimate of WTS to lower new positive cases is quite large, approximately five and half weeks, even though staying home lowers utility. We also find that individuals recognize the trade-offs between case reduction and economic slowdown stemming from SAH orders when they decide to stay home or not. Finally, pandemic related factors such as age, ability to work from home, and unemployment status are the main drivers of the heterogeneity in individuals' WTS.

Post-lockdown SARS-CoV-2 nucleic acid screening in nearly ten million residents of Wuhan, China.

Stringent COVID-19 control measures were imposed in Wuhan between January 23 and April 8, 2020. Estimates of the prevalence of infection following the release of restrictions could inform post-lockdown pandemic management. Here, we describe a city-wide SARS-CoV-2 nucleic acid screening programme between May 14 and June 1, 2020 in Wuhan. All city residents aged six years or older were eligible and 9,899,828 (92.9%) participated. No new symptomatic cases and 300 asymptomatic cases (detection rate 0.303/10,000, 95% CI 0.270-0.339/10,000) were identified. There were no positive tests amongst 1,174 close contacts of asymptomatic cases. 107 of 34,424 previously recovered COVID-19 patients tested positive again (re-positive rate 0.31%, 95% CI 0.423-0.574%). The prevalence of SARS-CoV-2 infection in Wuhan was therefore very low five to eight weeks after the end of lockdown.