Problematic video game use (PVGU), or addiction-like use of video games, is associated with physical and mental health problems and problems in social and occupational functioning. Possible correlates of PVGU include frequency of play, cigarette smoking, and attention deficit hyperactivity disorder (ADHD). The aim of the current study was to explore simultaneously the relationships among these variables as well as test whether two separate measures of PVGU measure the same construct, using a structural modeling approach. Secondary data analysis was conducted on 2,801 video game users (M = 22.43 years, standard deviation [SD] = 4.7; 93 percent male) who completed an online survey. The full model fit the data well: χ (2) = 2.017, p > 0.05; root mean square error of approximation (RMSEA) = 0.002 (90% CI [0.000-0.038]); comparative fit index (CFI) = 1.000; standardized root mean square residual (SRMR) = 0.004; and all standardized residuals <|0.1|. All freely estimated paths were statistically significant. ADHD symptomatology, smoking behavior, and hours of video game use explained 41.8 percent of variance in PVGU. Tracking these variables may be useful for PVGU prevention and assessment. Young's Internet Addiction Scale, adapted for video game use, and the Problem Videogame Playing Scale both loaded strongly onto a PVGU factor, suggesting that they measure the same construct, that studies using either measure may be compared to each other, and that both measures may be used as a screener of PVGU.

Introduction Novel, inexpensive disposable e-cigarettes widely sold in attractive flavors might be exempt from U.S. federal regulations. To inform regulatory and public health priorities, this study examined young adult disposable e-cigarette use uptake among existing tobacco users vs. non-users and possible use correlates that could be potential regulatory targets. Methods Prospective cohort data were analyzed in 2021. Among baseline (2018-2019) never disposable e-cigarette users (n=1903; Mean[SD]:19.3[0.8] years-old), we tested prospective associations of baseline tobacco product use with follow-up (2020) disposable e-cigarette use initiation, followed by stratified analyses distinguishing baseline exclusive and dual e-cigarette/combustible tobacco use. Exploratory cross-sectional associations of tobacco-related correlates with vaping frequency among current disposable users (n=266) were tested. Results Follow-up ever disposable e-cigarette use initiation was higher among baseline former (22.1%) and current (50.2%) vs. never (6.3%) rechargeable (non-disposable) e-cigarette users. In stratified analyses, follow-up disposable e-cigarette use initiation was 0% in baseline never-vaping exclusive current smokers, higher in baseline never-vaping former smokers vs. never users of any tobacco product (18.2% vs. 5.7%; adjusted odds ratio[AOR][95%CI]=3.9[2.1-7.5]), and higher among baseline current dual users vs. never-smoking exclusive current vapers (61.3% vs. 42.2%; AOR[95%CI]=3.0[1.5-6.0]). Among follow-up current disposable e-cigarette users (overall prevalence=10.9%), using ice-flavored (vs. fruit/sweet-flavored) e-cigarettes (adjusted rate ratio[95%CI]=1.5[1.0-2.1]) and vaping dependence symptoms (adjusted rate ratio[95%CI]=2.2[1.5-3.2]) were cross-sectionally associated with more past-month disposable e-cigarette use days. Conclusions Young adult disposable e-cigarette use was of appreciable prevalence, including among tobacco product never users and former smokers. Regulation of disposable e-cigarettes, including ice-flavored products, might benefit young adult health. Implications Sales of disposable e-cigarette products increased significantly in the United States from 2019 to 2020. These products contain high nicotine concentrations and various flavors that may appeal to young people. This study provides the first evidence that disposable e-cigarette use may be common among young adults, including among tobacco product never users and former smokers. Frequency of disposable e-cigarette use was positively associated with using ice-flavored e-cigarettes and vaping dependence. Regulatory policies and enforcement strategies addressing disposable e-cigarettes merit consideration in young adult health policy and prevention priorities.

American veterans are a population that suffer from both context specific stressors as well as many population‐specific major‐life events. The present exploratory study utilises a longitudinal cohort of 1230 U.S. veterans surveyed from February 2020 through February 2021. We sought to understand heterogeneity in perceived stress, using growth mixture modelling, over this time period, how COVID‐specific factors such as negative reactions to the pandemic, loneliness, and employment disruptions influence perceived stress trajectories, and how veterans vary across distal outcomes including posttraumatic stress disorder (PTSD), pain, depression, sleep problems, physical health, and alcohol use disorder. Results revealed a 4‐class solution: Stable High, Stable Low, Steady Increasing, and Steady Decreasing classes. In terms of COVID specific factors, negative reactions to COVID were consistently associated with perceived stress for those in the Stable High and Steady Increasing classes whereas loneliness was associated with stress trajectories for all emergent classes. Finally, in terms of our distal outcomes, results showed a relatively robust pattern with veterans in the Stable High or Steady Increasing classes reporting worse scores across all outcomes including PTSD, pain, sleep problems, physical health, depression, and alcohol use disorder. Understanding the interplay between existing vulnerabilities, ongoing stressors, and behavioural health outcomes among veterans is crucial for prevention and intervention efforts.

No abstract

The COVID-19 pandemic has resulted in financial, employment, and mental health challenges. In general, American veterans report high rates of substance use, which may be influenced by the COVID-19 pandemic. Those with pre-existing mental health problems, employment disruptions, or financial stress may be particularly vulnerable. We examined the relationships between pre-existing self-report screens for a probable anxiety disorder, COVID-19-related financial stress, employment disruption (e.g., lost job, reduced hours), and alcohol, cannabis, and cigarette use during the pandemic among 1230 veterans ( Mage = 34.5; 89% male). Participants were recruited through various social media sites and completed an online survey 1 month prior to implementation of the nationwide physical distancing guidelines in the United States (February 2020). Six months later (August 2020), they completed a follow-up survey. Compared to veterans who screened negative for anxiety prior to the pandemic, veterans who screened positive reported consuming more drinks per week ( b = 3.05), were more likely to use cannabis ( OR = 6.53), and smoked more cigarettes ( b = 2.06) during the first 6 months of the pandemic. Financial stress was positively associated with alcohol ( b = 1.09) and cannabis use ( OR = 1.90). Alcohol use was heaviest among veterans with a positive pre-existing anxiety screen and high financial stress. Moreover, veterans who experienced employment disruption due to the pandemic consumed less alcohol but were more likely to use cannabis during the pandemic. Veterans with pre-pandemic anxiety and pandemic-related financial stress may be using substances at higher rates and may benefit from intervention to mitigate negative substance use-related outcomes. Findings also enhance our understanding of veteran substance use behaviors following disruptions in employment due to the pandemic.