Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning.

BACKGROUND: Cyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multidimensional construct fueled by both anxiety and compulsivity-related factors and described as a "transdiagnostic compulsive behavioral syndrome," which is associated with health anxiety, problematic internet use, and obsessive-compulsive symptoms. Cyberchondria is not included in the International Classification of Diseases 11th Revision or the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and its defining features, etiological mechanisms, and assessment continue to be debated. OBJECTIVE: This study aims to investigate changes in the severity of cyberchondria during the COVID-19 pandemic and identify the predictors of cyberchondria at this time. METHODS: Data collection started on May 4, 2020, and ended on June 10, 2020, which corresponds to the first wave of the COVID-19 pandemic in Europe. At the time the study took place, French-speaking countries in Europe (France, Switzerland, Belgium, and Luxembourg) all implemented lockdown or semilockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level, and country of residence) and information about socioeconomic circumstances during the first lockdown (eg, economic situation, housing, and employment status) and was followed by several instruments assessing various psychological and health-related constructs. Inclusion criteria for the study were being at least 18 years of age and having a good understanding of French. Self-report data were collected from 725 participants aged 18-77 (mean 33.29, SD 12.88) years, with females constituting the majority (416/725, 57.4%). RESULTS: The results showed that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and compulsion increased (distress z=-3.651, P<.001; compulsion z=-5.697, P<.001), whereas the reassurance facet of cyberchondria decreased (z=-6.680, P<.001). In addition, COVID-19-related fears and health anxiety emerged as the strongest predictors of cyberchondria-related distress and interference with functioning during the pandemic. CONCLUSIONS: These findings provide evidence of the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. In addition, they are consistent with a theoretical model of cyberchondria during the COVID-19 pandemic proposed in 2020. These findings have implications for the conceptualization and future assessment of cyberchondria.

Effects of the 2020 health crisis on acute alcohol intoxication: A nationwide retrospective observational study.

BACKGROUND: Recent data suggest that the COVID-19 pandemic and associated restrictions may have influenced alcohol use and promoted addictive behavior. We aimed to investigate the impact of the pandemic on acute alcohol intoxication (AAI) in France. METHODS: We identified all hospital stays related to alcohol abuse in 2018-2020. Differences in number of hospitalizations between 2019 and 2020 were tested using Poisson regressions. Differences between observed and expected deliveries of drugs used in alcohol dependence in 2020 were also studied. RESULTS: There was a decrease in the number of hospitalizations for AAI between 2019 and 2020 (-9677[-11·4%],RR:0·89[0·88-0·89]). This decrease was observed among men and women of all age groups, except women ≥ 85 years. We observed an increase in in-hospital mortality during 2020 and more hospitalizations for AAI with certain medical complications, especially during the first 2020 lockdown. There was a drop in observed deliveries of drugs used in alcohol dependence during the first 2020 lockdown. CONCLUSIONS: The decrease in the number of hospitalizations for AAI in 2020 could be explained by several factors: fewer available hospital beds due to COVID-19, individuals with AAI delaying or avoiding medical care due to COVID-19 fears, and decreases driven by younger age groups returning to live with parents and socializing less. While alcohol consumption patterns have changed with the implementation of social distancing measures and lockdowns, the increase in mortality and the share of hospitalizations with complications suggest that these measures had an impact on event severity in a context of strained access to healthcare.

Addictions en temps de pandémie

Résumé L'Organisation Mondiale de la Santé a déclaré la maladie causée par le coronavirus 2 comme pandémie en mars 2020. Via les différentes mesures prises, un phénomène stressant psychosocial induit par cette épidémie a, dès lors, émergé en raison des difficultés financières, de l’isolement social et du caractère incertain du futur. L’ensemble des études nationales et internationales a mis en évidence une augmentation des usages de tabac, d’alcool et de substances illicites. Outre les comportements de consommation excessive, voire les décompensations addictives liées aux substances, il faut également prendre en considération l’usage excessif de la pornographie, des jeux de hasard et d’argent, des jeux vidéo essentiellement via Internet et l’exercice physique. La COVID-19 peut être à l’origine d’un certain nombre de conséquences et de complications chez les personnes souffrant de troubles liés à l’usage de substances licites ou illicites, population particulièrement vulnérable. Dans cette revue de la littérature narrative, nous analyserons les données concernant les comportements de consommation excessive et les addictions aux substances psychoactives licites et illicites et à certains types de comportements de la vie quotidienne. Nous avons, pour ce faire, utilisé les combinaisons de mots-clés pour sélectionner les articles scientifiques de langue anglaise et française publiés entre 2019 et 2021 en consultant les bases de données Medline, Embase, PsycInfo, Google Scholar. The World Health Organization declared the disease caused by coronavirus 2 as a pandemic in March 2020. Through the various measures taken, a psychosocial stressful phenomenon induced by this epidemic has therefore emerged due to financial difficulties, social isolation and the uncertain nature of the future. All national and international studies have shown an increase in the use of tobacco, alcohol and illicit substances. In addition to excessive consumption behavior and even addictive decompensations linked to substances, excessive use of pornography, gambling, gambling, video games mainly via the Internet and physical exercise must also be taken into account. COVID-19 can cause a number of consequences and complications for people with legal and illegal substance use disorders, a particularly vulnerable population. In this review of the literature, we will analyze the data concerning the behaviors of excessive consumption and addiction to licit and illicit psychoactive substances and to certain types of behaviors of daily life. To do this, we used the keyword combinations to select the scientific articles in English and French published between 2018 and 2021 by consulting the Medline, Embase, PsychInfo, Google Scholar databases.