The relationship between internet addiction and aggressive behavior among adolescents during the COVID-19 pandemic: Anxiety as a mediator.

The COVID-19 pandemic has brought unprecedented challenges for adolescents, who tended to experience more emotional instability, impulsivity, and aggressive behavior driven by the fear of infection and the uncertainty of network information. In the present study, we investigated the relationship between Internet addiction and aggressive behavior, and the mediating effects of depression and anxiety. There were differences in Internete addiction and aggressive behavior in gender, thus the moderating role of gender between them were explored. A total of 1148 middle school students were invited to complete the Buss Perry Aggression Questionnaire, the Internet Addition Scale, the Self-rating Depression Scale (SDS), and the Self-rating Anxiety Scale (SAS) separately. The results suggested that 1) there was a significant positive correlation between Internet addiction and aggressive behavior; 2) anxiety, but not depression, mediated the effect of Internet addiction on aggressive behavior; 3) gender did not moderate the effect of Internet addiction on aggressive behavior. The practical implication of the current findings on boosting adolescents' mental health was discussed and further suggestions were provided.

COVID-19 Shocks, Monetary Policy, and Real Estate Price Volatility: Analysis Based on a Dynamic Stochastic General Equilibrium Perspective

The COVID-19 pneumonia epidemic in early 2020 severely affected all sectors of the Chinese economy, with economic growth plummeting but the property market continuing to heat up after a brief contraction. How to formulate an effective monetary policy in the face of the COVID-19 shock to achieve stable economic growth while curbing excessive real estate price inflation has become a pressing issue for Chinese policymakers today. To this end, this paper focuses on the impact of two types of monetary policy, price-based and quantity-based, on macro-economic variables such as real estate prices and aggregate output by developing a multi-sectoral DSGE model incorporating the COVID-19 shock and comparing them. The analysis finds that both monetary policy rules can achieve the objective of dampening real estate prices. Nevertheless, while causing the same magnitude of real estate price contraction, quantity-based monetary policy leads to greater volatility in variables such as aggregate output, while other economic variables are less volatile under the price-based monetary policy. [ FROM AUTHOR] Copyright of Scientific Programming is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Development of a Physiologically Based Pharmacokinetic Model for Hydroxychloroquine and Its Application in Dose Optimization in Specific COVID-19 Patients.

In Feb 2020, we developed a physiologically-based pharmacokinetic (PBPK) model of hydroxychloroquine (HCQ) and integrated in vitro anti-viral effect to support dosing design of HCQ in the treatment of COVID-19 patients in China. This, along with emerging research and clinical findings, supported broader uptake of HCQ as a potential treatment for COVID-19 globally at the beginning of the pandemics. Therefore, many COVID-19 patients have been or will be exposed to HCQ, including specific populations with underlying intrinsic and/or extrinsic characteristics that may affect the disposition and drug actions of HCQ. It is critical to update our PBPK model of HCQ with adequate drug absorption and disposition mechanisms to support optimal dosing of HCQ in these specific populations. We conducted relevant in vitro and in vivo experiments to support HCQ PBPK model update. Different aspects of this model are validated using PK study from 11 published references. With parameterization informed by results from monkeys, a permeability-limited lung model is employed to describe HCQ distribution in the lung tissues. The updated model is applied to optimize HCQ dosing regimens for specific populations, including those taking concomitant medications. In order to meet predefined HCQ exposure target, HCQ dose may need to be reduced in young children, elderly subjects with organ impairment and/or coadministration with a strong CYP2C8/CYP2D6/CYP3A4 inhibitor, and be increased in pregnant women. The updated HCQ PBPK model informed by new metabolism and distribution data can be used to effectively support dosing recommendations for clinical trials in specific COVID-19 patients and treatment of patients with malaria or autoimmune diseases.

Population-based meta-analysis of chloroquine: informing chloroquine pharmacokinetics in COVID-19 patients.

AIMS: Chloroquine (CQ) has been repurposed to treat coronavirus disease 2019 (COVID-19). Understanding the pharmacokinetics (PK) in COVID-19 patients is essential to study its exposure-efficacy/safety relationship and provide a basis for a possible dosing regimen optimization. SUBJECT AND METHODS: In this study, we used a population-based meta-analysis approach to develop a population PK model to characterize the CQ PK in COVID-19 patients. An open-label, single-center study (ethical review approval number: PJ-NBEY-KY-2020-063-01) was conducted to assess the safety, efficacy, and pharmacokinetics of CQ in patients with COVID-19. The sparse PK data from 50 COVID-19 patients, receiving 500 mg CQ phosphate twice daily for 7 days, were combined with additional CQ PK data from 18 publications. RESULTS: A two-compartment model with first-order oral absorption and first-order elimination and an absorption lag best described the data. Absorption rate (ka) was estimated to be 0.559 h-1, and a lag time of absorption (ALAG) was estimated to be 0.149 h. Apparent clearance (CL/F) and apparent central volume of distribution (V2/F) was 33.3 l/h and 3630 l. Apparent distribution clearance (Q/F) and volume of distribution of peripheral compartment (Q3/F) were 58.7 l/h and 5120 l. The simulated CQ concentration under five dosing regimens of CQ phosphate were within the safety margin (400 ng/ml). CONCLUSION: Model-based simulation using PK parameters from the COVID-19 patients shows that the concentrations under the currently recommended dosing regimen are below the safety margin for side-effects, which suggests that these dosing regimens are generally safe. The derived population PK model should allow for the assessment of pharmacokinetics-pharmacodynamics (PK-PD) relationships for CQ when given alone or in combination with other agents to treat COVID-19.

Updates on the Pharmacology of Chloroquine against Coronavirus Disease 2019 (COVID-19): A Perspective on its Use in the General and Geriatric Population.

BACKGROUND: Chloroquine has been used to treat malaria for more than 70 years. Its safety profile and cost-effectiveness are well-documented. Scientists have found that chloroquine has in vitro activity against novel coronavirus (SARS-CoV-2). Currently, chloroquine has been adopted in the Protocol for Managing Coronavirus Disease 2019 (COVID-19) (Version 7) issued by the China National Health Commission for clinically managing COVID-19. OBJECTIVE: This review will focus on the antiviral mechanism, effectiveness and safety, dosage and DDIs of chloroquine, for the purpose of providing evidence-based support for rational use of chloroquine in the treatment of COVID-19. METHODS: Use the search terms "chloroquine" linked with "effectiveness", "safety", "mechanism", "drug-drug interaction (DDIs)" or other terms respectively to search relevant literature through PubMed. RESULTS: After searching, we found literature about antivirus mechanism, dosage, DDIs of chloroquine. However, studies on the effectiveness and safety of chloroquine treatment for COVID-19 for the general and geriatric patients are not enough. CONCLUSION: According to literature reports, chloroquine has been proven to have anti-SARS-CoV-2 effect in vitro and the potential mechanism of chloroquine in vivo. Pharmacokinetic characteristics and DDIs study are helpful in guiding rational drug use in general and geriatric patients. Although there have been reports of successful clinical application of chloroquine in the treatment COVID-19, more clinical test data are still needed to prove its effectiveness and safety.

Dose selection of chloroquine phosphate for treatment of COVID-19 based on a physiologically based pharmacokinetic model.

Chloroquine (CQ) phosphate has been suggested to be clinically effective in the treatment of coronavirus disease 2019 (COVID-19). To develop a physiologically-based pharmacokinetic (PBPK) model for predicting tissue distribution of CQ and apply it to optimize dosage regimens, a PBPK model, with parameterization of drug distribution extrapolated from animal data, was developed to predict human tissue distribution of CQ. The physiological characteristics of time-dependent accumulation was mimicked through an active transport mechanism. Several dosing regimens were proposed based on PBPK simulation combined with known clinical exposure-response relationships. The model was also validated by clinical data from Chinese patients with COVID-19. The novel PBPK model allows in-depth description of the pharmacokinetics of CQ in several key organs (lung, heart, liver, and kidney), and was applied to design dosing strategies in patients with acute COVID-19 (Day 1: 750 mg BID, Days 2-5: 500 mg BID, CQ phosphate), patients with moderate COVID-19 (Day 1: 750 mg and 500 mg, Days 2-3: 500 mg BID, Days 4-5: 250 mg BID, CQ phosphate), and other vulnerable populations (e.g., renal and hepatic impairment and elderly patients, Days 1-5: 250 mg BID, CQ phosphate). A PBPK model of CQ was successfully developed to optimize dosage regimens for patients with COVID-19.