Screen time, phone usage, and social media usage: Before and during the COVID-19 pandemic

Objective Technology use has increased in the past several years, especially among younger generations. The COVID-19 pandemic drastically changed how people work, learn, and interact, with many utilizing technology for daily tasks and socializing. Methods The current study investigated a sample of college students using a cross-sectional design to determine whether there was a change in how much time students spent on screens, phones, and social media. Results Findings indicated that time on screens and phones was significantly higher during the pandemic;however, time spent on social media did not differ significantly. Conclusion These findings suggest that students are spending more time working and socializing on their screens and phones, yet social media may not be the platform in which students are doing this. Future studies should further explore technology usage and whether these trends during the COVID-19 pandemic will be lasting.

Living with Epilepsy in Adolescence in Italy: Psychological and Behavioral Impact.

BACKGROUND: People with epilepsy have a higher prevalence of behavioral and neuropsychiatric comorbidities compared to the general population and those with other chronic medical conditions, although the underlying clinical features remain unclear. The goal of the current study was to characterize behavioral profiles of adolescents with epilepsy, assess the presence of psychopathological disorders, and investigate the reciprocal interactions among epilepsy, psychological functioning, and their main clinical variables. METHODS: Sixty-three adolescents with epilepsy were consecutively recruited at the Epilepsy Center, Childhood and Adolescence Neuropsychiatry Unit of Santi Paolo e Carlo hospital in Milan (five of them were excluded) and assessed with a specific questionnaire for psychopathology in adolescence, such as the Questionnaire for the Assessment of Psychopathology in Adolescence (Q-PAD). Q-PAD results were then correlated with the main clinical data. RESULTS: 55.2% (32/58) of patients presented at least one emotional disturbance. Body dissatisfaction, anxiety, interpersonal conflicts, family problems, uncertainty about the future, and self-esteem/well-being disorders were frequently reported. Gender and poor control of seizures are associated with specific emotional features (p < 0.05). CONCLUSIONS: These findings highlight the importance of screening for emotional distress, recognition of the impairments, and provision of adequate treatment and follow-up. A pathological score on the Q-PAD should always require the clinician to investigate the presence of behavioral disorders and comorbidities in adolescents with epilepsy.

A comparison of anxiety levels before and during the COVID-19 pandemic.

The COVID-19 Pandemic upended the lives of nearly everyone worldwide, and recent studies have reported higher rates of anxiety, depression, and other mental health problems. Using a repeated crosssectional design, the current study compares anxiety levels from a representative sample of college students prior-to and during the COVID-19 Pandemic. Additionally, differences in anxiety prior to and following U.S. approval for use of the Pfizer-BioNTtech COVID-19 vaccine were also compared. Findings indicate that state-anxiety levels did not differ significantly prior to and during the Pandemic as well as before the vaccine and during and after the vaccine (M = 43.01, 44.10, 44.77, respectively). Surprisingly, trait anxiety levels were significantly higher during the Pandemic than before (p = .003), and anxiety levels trend down after the approval of the vaccine, but not significantly (M = 45.10, 48.85, 47.58, respectively). Future research should continue to investigate and compare anxiety levels during the COVID-19 Pandemic.

The impact of loneliness on the six dimensions of online disinhibition

The literature connecting loneliness and social media use has been variable and, at times, contradictory. Little is known about the impact of loneliness and time spent on social media, or whether one or both of these variables may influence online disinhibition overall or among the six dimensions of online disinhibition. Using the Online Disinhibition Scale, a recently established measure, and the UCLA Loneliness Scale (Version 3), we examined the association between high and low/moderate levels of loneliness and the six dimensions of online disinhibition in a sample of college students (n = 196). A one-way MANOVA was run and three of the six dimensions - Dissociative Anonymity (DA), Invisibility (IN), and Solipsistic introjection (SI) - were significantly associated with higher levels of loneliness. Additionally, we hypothesized that time spent on social media would differ for the dimensions of online disinhibition;a one-way MANOVA was run, and no significant difference was found. Data were collected during the COVID-19 pandemic, which may have impacted the results;however, this study adds to the literature on online disinhibition, loneliness, and time spent on social media.

Sleep disorders and mental health in hospital workers during the COVID-19 pandemic: a cross-sectional multicenter study in Northern Italy.

INTRODUCTION: From the beginning of the COVID-19 pandemic, healthcare workers had to face unprecedented emergency needs associated with an extraordinary amount of psychological distress. In this cross-sectional multicenter study, we investigated sleep disturbances, and the level of anxiety and depression among the healthcare and non-healthcare staff of three hospitals in Milan (Italy) during the COVID-19 outbreak. Moreover, we explored potential predisposing factors for affective symptoms and poor sleep. METHODS: Between June and July 2020, we administered an online questionnaire to evaluate the presence of sleep disorders (Pittsburgh Sleep Quality Index), insomnia (Sleep Condition Indicator), anxiety (State Trait Anxiety Inventory), and depression (Beck Depression Inventory-II). We used univariate and multivariate analysis to evaluate the association between the personal conditions and sleep and affective disorders. RESULTS: The 964 participants reported high rates of sleep disorders (80.3%)-mainly insomnia (30.5%)-anxiety (69.7%), and depression (32.8%). The multivariate analysis showed a strong association of sleep disorders, especially insomnia, with female gender (p = 0.004), divorced marital status (p = 0.015), self-isolation (p = 0.037), and chronic diseases (p = 0.003). Anxiety was significantly associated with teleworking (p = 0.001), while depressive symptoms were associated with self-isolation (p = 0.028), modified work schedules (p = 0.03), and chronic diseases (p = 0.027). CONCLUSION: In hospital workers, the high prevalence of sleep and psychiatric symptoms during the COVID-19 outbreak appears to be determined mainly by modifications of personal or work habits. Teleworking was associated with increased anxiety. An accurate planning of hospital activities and a psychological support are needed to prevent and manage sleep and mental disorders.

The impact of disruptions due to COVID-19 on HIV transmission and control among men who have sex with men in China.

INTRODUCTION: The COVID-19 pandemic is impacting HIV care globally, with gaps in HIV treatment expected to increase HIV transmission and HIV-related mortality. We estimated how COVID-19-related disruptions could impact HIV transmission and mortality among men who have sex with men (MSM) in four cities in China, over a one- and five-year time horizon. METHODS: Regional data from China indicated that the number of MSM undergoing facility-based HIV testing reduced by 59% during the COVID-19 pandemic, alongside reductions in ART initiation (34%), numbers of all sexual partners (62%) and consistency of condom use (25%), but initial data indicated no change in viral suppression. A mathematical model of HIV transmission/treatment among MSM was used to estimate the impact of disruptions on HIV infections/HIV-related deaths. Disruption scenarios were assessed for their individual and combined impact over one and five years for 3/4/6-month disruption periods, starting from 1 January 2020. RESULTS: Our model predicted new HIV infections and HIV-related deaths would be increased most by disruptions to viral suppression, with 25% reductions (25% virally suppressed MSM stop taking ART) for a three-month period increasing HIV infections by 5% to 14% over one year and deaths by 7% to 12%. Observed reductions in condom use increased HIV infections by 5% to 14% but had minimal impact (<1%) on deaths. Smaller impacts on infections and deaths (<3%) were seen for disruptions to facility HIV testing and ART initiation, but reduced partner numbers resulted in 11% to 23% fewer infections and 0.4% to 1.0% fewer deaths. Longer disruption periods (4/6 months) amplified the impact of disruption scenarios. When realistic disruptions were modelled simultaneously, an overall decrease in new HIV infections occurred over one year (3% to 17%), but not for five years (1% increase to 4% decrease), whereas deaths mostly increased over one year (1% to 2%) and five years (1.2 increase to 0.3 decrease). CONCLUSIONS: The overall impact of COVID-19 on new HIV infections and HIV-related deaths is dependent on the nature, scale and length of the various disruptions. Resources should be directed to ensuring levels of viral suppression and condom use are maintained to mitigate any adverse effects of COVID-19-related disruption on HIV transmission and control among MSM in China.

Estimating the COVID-19 epidemic trajectory and hospital capacity requirements in South West England: a mathematical modelling framework.

OBJECTIVES: To develop a regional model of COVID-19 dynamics for use in estimating the number of infections, deaths and required acute and intensive care (IC) beds using the South West England (SW) as an example case. DESIGN: Open-source age-structured variant of a susceptible-exposed-infectious-recovered compartmental mathematical model. Latin hypercube sampling and maximum likelihood estimation were used to calibrate to cumulative cases and cumulative deaths. SETTING: SW at a time considered early in the pandemic, where National Health Service authorities required evidence to guide localised planning and support decision-making. PARTICIPANTS: Publicly available data on patients with COVID-19. PRIMARY AND SECONDARY OUTCOME MEASURES: The expected numbers of infected cases, deaths due to COVID-19 infection, patient occupancy of acute and IC beds and the reproduction ('R') number over time. RESULTS: SW model projections indicate that, as of 11 May 2020 (when 'lockdown' measures were eased), 5793 (95% credible interval (CrI) 2003 to 12 051) individuals were still infectious (0.10% of the total SW population, 95% CrI 0.04% to 0.22%), and a total of 189 048 (95% CrI 141 580 to 277 955) had been infected with the virus (either asymptomatically or symptomatically), but recovered, which is 3.4% (95% CrI 2.5% to 5.0%) of the SW population. The total number of patients in acute and IC beds in the SW on 11 May 2020 was predicted to be 701 (95% CrI 169 to 1543) and 110 (95% CrI 8 to 464), respectively. The R value in SW was predicted to be 2.6 (95% CrI 2.0 to 3.2) prior to any interventions, with social distancing reducing this to 2.3 (95% CrI 1.8 to 2.9) and lockdown/school closures further reducing the R value to 0.6 (95% CrI 0.5 to 0.7). CONCLUSIONS: The developed model has proved a valuable asset for regional healthcare services. The model will be used further in the SW as the pandemic evolves, and-as open-source software-is portable to healthcare systems in other geographies.