Abstract:The rapid spread of the coronavirus and the strategies to slow it have disrupted just about every aspect of our lives. Such disruption may be reflected in changes in psychological function. The present study used a pre-posttest design to test whether Five Factor Model personality traits changed with the coronavirus outbreak in the United States. Participants (N=2,137) were tested in early February 2020 and again during the President’s 15 Days to Slow the Spread guidelines. In contrast to the preregistered hypo… Show more
“…The last column describes the country or countries focus of the survey and/or the location of the participants. Category Subcategory Sample size Country and Reference Health and wellbeing indicators Mental Health and wellbeing Italy [158] , 59 countries [159] Bangladesh [160] , China [161] , [162] , USA [163] , [164] , [165] , Serbia [166] Canada [167] , China [168] , Ghana [169] , Jordan [170] , Italy [171] , Russia and Belarus [26] , USA [172] , [173] , [174] USA [175] Netherlands [176] Health Behaviors China [177] , Spain …”
Section: Surveysmentioning
confidence: 99%
“…It interesting to notice the variety of angles and aspects covered in the surveys on mental health. In fact, they consider loneliness [164] , [172] , [174] , domestic abuse [170] , psychological mindset [26] , [158] , [159] , [160] , [163] , [165] , [166] , [168] , [169] , as well as particular groups of the population studying the toll on frontline workers [161] , students [173] , [175] , parents and children [162] , [167] , [171] , [176] . Several common themes as well as some conflicting results emerged from this research.…”
Section: Surveysmentioning
confidence: 99%
“…Being unemployed and married were the most important features linked to abuse. In terms of psychological mindset of participants living under some type of NPIs country of residence, age, gender relationship status, living arrangements, income, and education are important factors [26] , [158] , [159] , [160] , [163] , [166] , [168] , [169] . In fact, a study conducted by recruiting participants in countries reports that socio-demographic features, having had symptoms, mobility restrictions, and having had issues transitioning to remote work or an increase of conflict at home explain around 20% of the variance in depression and anxiety [159] .…”
Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 348 articles written by more than 2518 of authors in the first 12 months of the emergency. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunities.
“…The last column describes the country or countries focus of the survey and/or the location of the participants. Category Subcategory Sample size Country and Reference Health and wellbeing indicators Mental Health and wellbeing Italy [158] , 59 countries [159] Bangladesh [160] , China [161] , [162] , USA [163] , [164] , [165] , Serbia [166] Canada [167] , China [168] , Ghana [169] , Jordan [170] , Italy [171] , Russia and Belarus [26] , USA [172] , [173] , [174] USA [175] Netherlands [176] Health Behaviors China [177] , Spain …”
Section: Surveysmentioning
confidence: 99%
“…It interesting to notice the variety of angles and aspects covered in the surveys on mental health. In fact, they consider loneliness [164] , [172] , [174] , domestic abuse [170] , psychological mindset [26] , [158] , [159] , [160] , [163] , [165] , [166] , [168] , [169] , as well as particular groups of the population studying the toll on frontline workers [161] , students [173] , [175] , parents and children [162] , [167] , [171] , [176] . Several common themes as well as some conflicting results emerged from this research.…”
Section: Surveysmentioning
confidence: 99%
“…Being unemployed and married were the most important features linked to abuse. In terms of psychological mindset of participants living under some type of NPIs country of residence, age, gender relationship status, living arrangements, income, and education are important factors [26] , [158] , [159] , [160] , [163] , [166] , [168] , [169] . In fact, a study conducted by recruiting participants in countries reports that socio-demographic features, having had symptoms, mobility restrictions, and having had issues transitioning to remote work or an increase of conflict at home explain around 20% of the variance in depression and anxiety [159] .…”
Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our understanding of such feedback loop is still limited. Before COVID-19 the literature on the subject was mainly theoretical and largely missed validation. The main issue was the lack of empirical data capturing behavioral change induced by diseases. Things have dramatically changed in 2020. Non-pharmaceutical interventions (NPIs) have been the key weapon against the SARS-CoV-2 virus and affected virtually any societal process. Travels bans, events cancellation, social distancing, curfews, and lockdowns have become unfortunately very familiar. The scale of the emergency, the ease of survey as well as crowdsourcing deployment guaranteed by the latest technology, several Data for Good programs developed by tech giants, major mobile phone providers, and other companies have allowed unprecedented access to data describing behavioral changes induced by the pandemic. Here, I review some of the vast literature written on the subject of NPIs during the COVID-19 pandemic. In doing so, I analyze 348 articles written by more than 2518 of authors in the first 12 months of the emergency. While the large majority of the sample was obtained by querying PubMed, it includes also a hand-curated list. Considering the focus, and methodology I have classified the sample into seven main categories: epidemic models, surveys, comments/perspectives, papers aiming to quantify the effects of NPIs, reviews, articles using data proxies to measure NPIs, and publicly available datasets describing NPIs. I summarize the methodology, data used, findings of the articles in each category and provide an outlook highlighting future challenges as well as opportunities.
“…A further prepublished US study (N = 1019) revealed that higher extraversion was associated with more social distancing and cleaning/disinfecting, higher conscientiousness was related to more handwashing, and both higher conscientiousness and openness were associated with less use of face masks (Shook, Sevi, Lee, Fitzgerald, & Oosterhoff, 2020). Although these studies provide some evidence for significant cross-sectional associations, their results might be skewed by the impact of the pandemic on personality (Sutin et al, 2020). The present work addresses this limitation by predicting a broad range of pandemic-related responses from personality traits that were assessed before the outbreak in a US sample that is about four times larger than those in most previous studies (N = 2066).…”
“…Another important question concerns changes in psychological variables and functioning. For example, Sutin and colleagues [15] found in a prepost-test design for a large US sample that self-reported Big Five traits changed across the acute phase of the COVID-19 outbreak. As a mechanism explaining such rapid trait change, the authors surmised that "the broader social environment may be modifying both how individuals see themselves … and the meaning of specific items to how they measure a trait …" (p. 15).…”
During government-implemented restrictions in the wake of the COVID-19 pandemic, people’s everyday lives changed profoundly. However, there is to date little research chronicling how people perceived their changed everyday lives and which consequences this had. In a two-wave study, we examined the psychological characteristics of people’s situations and their correlates during shutdown in a large German sample (NT1 = 1,353; NT2 = 446). First, we compared characteristics during government-issued restrictions with retrospective accounts from before and with a follow-up assessment 6 to 7 months later when many restrictions had been lifted. We found that mean levels were lower and variances were higher for most characteristics during the shutdown. Second, the experience of certain situation characteristics was associated in meaningful and theoretically expected ways with people’s traits, appraisals of the COVID-19 crisis, and subjective well-being. Lastly, situation characteristics often substantially explained the associations of traits with appraisals and well-being. Our findings highlight the importance of considering perceived situations as these contribute to people’s functioning during crises.
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