Browse
Submit Data
Databases
API
Help

Dataset Information

21 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Personality and Its Partisan Political Correlates Predict U.S. State Differences in Covid-19 Policies and Mask Wearing Percentages.

ABSTRACT: A central feature of the Covid-19 pandemic is state differences. Some state Governors closed all but essential businesses, others did not. In some states, most of the population wore face coverings when in public; in other states, <50% wore face coverings. According to journalists, these differences were symptomatic of a politically polarized America. The Big 5 personality factors also cluster at the state level. For example, residents of Utah score high on Conscientiousness and low on Neuroticism, whereas residents of Massachusetts and Connecticut show the opposite pattern. In state-level regressions that controlled for partisan political allegiances, Conscientiousness was a significant (negative) predictor of the stringency of state Covid-19 restrictions, whereas Openness was a significant (positive) predictor of mask wearing. A number of the predictors were strongly correlated with each other. For example, the correlation coefficient linking Openness with the percentage of Democratic state legislators was r = 0.53. Commonality regression partitions the explained variance between the amount that is unique to each predictor and the amount that is shared among subsets of correlated predictors. This approach revealed that the common variance shared by Conscientiousness, Openness and partisan politics accounted for 34% of the state differences in Covid-19 policy and 35% of the state differences in mask wearing. The results reflect the importance of personality in how Americans have responded to the Covid-19 pandemic.

SUBMITTER: Heyman GM

PROVIDER: S-EPMC8502796 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Wearing a mask-For yourself or for others? Behavioral correlates of mask wearing among COVID-19 frontline workers.

Project description:Human behavior can have effects on oneself and externalities on others. Mask wearing is such a behavior in the current pandemic. What motivates people to wear face masks in public when mask wearing is voluntary or not enforced? Which benefits should the policy makers rather emphasize in information campaigns-the reduced chances of getting the SARS-CoV-2 virus (benefits for oneself) or the reduced chances of transmitting the virus (benefits for others in the society)? In this paper, we link measured risk preferences and other-regarding preferences to mask wearing habits among 840 surveyed employees of two large Swiss hospitals. We find that the leading mask-wearing motivations change with age: While for older people, mask wearing habits are best explained by their self-regarding risk preferences, younger people are also motivated by other-regarding concerns. Our results are robust to different specifications including linear probability models, probit models and Lasso covariate selection models. Our findings thus allow drawing policy implications for effectively communicating public-health recommendations to frontline workers during the COVID-19 pandemic.

| S-EPMC8289104 | biostudies-literature

The politics of mask-wearing: Political preferences, reactance, and conflict aversion during COVID.

Project description:The current project examines how psychological reactance and conflict orientation relate to the highly politicized debate over mask-wearing in the U.S. during the COVID-19 pandemic. We explore how psychological reactance and conflict orientation are related to self-reported mask-wearing, and how these same predispositions are correlated with political beliefs. We then assess how favorability towards President Trump in the context of the 2020 Election was uniquely correlated with these traits and how Trump favorability both mediated and moderated the effects of conflict orientation and psychological reactance on individuals' likelihood of wearing masks. Results from a national survey of U.S. adults from Nov-Dec 2020 suggest that Trump favorability was positively associated with trait reactance, negatively associated with conflict aversion, and negatively associated with self-reported mask-wearing. The opposite was true of favorability towards Joe Biden. Moderation analyses indicate that conflict-approaching Biden detractors were especially unlikely to report wearing masks, while mediation analyses show that political preferences significantly mediated the relationships between both psychological traits and self-reported mask-wearing. Implications for the politicization of health messaging and health behavior are discussed.

| S-EPMC8866197 | biostudies-literature

U.S. Federal Reserve Policies can cause Political instability by raising bread prices.

Project description:This note argues that the monetary policies of the U.S. Federal Reserve impact food prices globally and can - by extension - affect the incidence of food riots and broader social conflict. We additionally claim that these impacts are especially likely in the case of commodities with more price-inelastic demand, staple cereals in particular, but less likely in the case of food commodities with more price-elastic demand, such as meats and oil. Using mediation analysis, we find empirical support for the impact of changes to US dollar supply on food riots from 2000-2011. We also find that this relationship extends to broader measures of social conflict (including protests, riots, strikes, etc.). We conclude with a cautionary note about how to interpret these results.Supplementary informationThe online version contains supplementary material available at 10.1007/s12571-022-01300-0.

| S-EPMC9183752 | biostudies-literature

Mask Wearing as Cultural Behavior: An Investigation Across 45 U.S. States During the COVID-19 Pandemic.

Project description:Although masks (face coverings) are a prime tool in fighting airborne pathogens, during the COVID-19 pandemic in the United States the use of masks encountered resistance based on existing patterns of cultural division. We argue that mask wearing must be understood basis on existing cultural frames assessed at both the individual level and the state level. We relied on prominent frameworks in cultural psychology: individualism-collectivism as well as independent and interdependent self-construals, the tightness-looseness framework, U.S. honor cultures, and political orientation as predictors. Using multilevel modeling, in a sample of 633 respondents from 45 U.S. states we investigated mask-wearing behavior, masks' perceived utility, implications for well-being, and the social meaning attributed to masks. Conservatism was linked to lower mask wearing, and consistently unfavorable perceptions of mask wearing. Collective interdependence predicted favorable perceptions of masks, as did state-level differences in collectivism; both constructs were linked with viewing mask wearing to be normative. Independent self-construal predicted a greater intent to wear masks, even though masks were also evaluated less favorably. Mediation analyses revealed that a single mediator, the perceived utility of mask wearing, was implicated in translating the effects of different cultural predictors into behavior. Additional findings highlighted that in tightener (vs. looser) states masks wearing was conceived of as a civic duty, whereas in U.S. honor states mask were seen as spoiling one's public image. Our discussion focuses on the cultural and political context of mask wearing, argues that different communities in the U.S. respond to its symbolic and social meaning, and suggest strategies to increase mask wearing among those who are otherwise reluctant to do so.

| S-EPMC8333278 | biostudies-literature

Politicizing mask-wearing: predicting the success of behavioral interventions among republicans and democrats in the U.S.

Project description:Scientists and policymakers seek to choose effective interventions that promote preventative health measures. We evaluated whether academics, behavioral science practitioners, and laypeople (N = 1034) were able to forecast the effectiveness of seven different messages compared to a baseline message for Republicans and Democrats separately. These messages were designed to nudge mask-wearing attitudes, intentions, and behaviors. When examining predictions across political parties, forecasters predicted larger effects than those observed for Democrats compared to Republicans and made more accurate predictions for Republicans compared to Democrats. These results are partly driven by a lack of nudge effects on Democrats, as reported in Gelfand et al. (J Exp Soc Psychol, 2021). Academics and practitioners made more accurate predictions compared to laypeople. Although forecasters' predictions were correlated with the nudge interventions, all groups overestimated the observed results. We discuss potential reasons for why the forecasts did not perform better and how more accurate forecasts of behavioral intervention outcomes could potentially provide insight that can help save resources and increase the efficacy of interventions.

| S-EPMC9082983 | biostudies-literature

Political storms: Emergent partisan skepticism of hurricane risks.

Project description:Mistrust of scientific evidence and government-issued guidelines is increasingly correlated with political affiliation. Survey evidence has documented skepticism in a diverse set of issues including climate change, vaccine hesitancy, and, most recently, COVID-19 risks. Less well understood is whether these beliefs alter high-stakes behavior. Combining GPS data for 2.7 million smartphone users in Florida and Texas with 2016 U.S. presidential election precinct-level results, we examine how conservative-media dismissals of hurricane advisories in 2017 influenced evacuation decisions. Likely Trump-voting Florida residents were 10 to 11 percentage points less likely to evacuate Hurricane Irma than Clinton voters (34% versus 45%), a gap not present in prior hurricanes. Results are robust to fine-grain geographic controls, which compare likely Clinton and Trump voters living within 150 m of each other. The rapid surge in media-led suspicion of hurricane forecasts-and the resulting divide in self-protective measures-illustrates a large behavioral consequence of science denialism.

| S-EPMC7486090 | biostudies-literature

Political Narratives and the US Partisan Gender Gap.

Project description:Social scientists have devoted considerable research effort to investigate the determinants of the Partisan Gender Gap (PGG), whereby US women (men) tend to exhibit more liberal (conservative) political preferences over time. Results of a survey experiment run during the COVID-19 emergency and involving 3,086 US residents show that exposing subjects to alternative narratives on the causes of the pandemic increases the PGG: relative to a baseline treatment in which no narrative manipulation is implemented, exposing subjects to either the Lab narrative (claiming that COVID-19 was caused by a lab accident in Wuhan) or the Nature narrative (according to which COVID-19 originated in the wildlife) makes women more liberal. The polarization effect documented in our experiment is magnified by the political orientation of participants' state of residence: the largest PGG effect is between men residing in Republican-leaning states and women living in Democratic-leaning states. JEL Classification: J16, D83, C83, C99, P16, D72.

| S-EPMC8253555 | biostudies-literature

Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic.

Project description:ObjectiveFacial masks are an essential personal protective measure to fight the COVID-19 (coronavirus disease) pandemic. However, the mask adoption rate in the United States is still less than optimal. This study aims to understand the beliefs held by individuals who oppose the use of facial masks, and the evidence that they use to support these beliefs, to inform the development of targeted public health communication strategies.Materials and methodsWe analyzed a total of 771 268 U.S.-based tweets between January to October 2020. We developed machine learning classifiers to identify and categorize relevant tweets, followed by a qualitative content analysis of a subset of the tweets to understand the rationale of those opposed mask wearing.ResultsWe identified 267 152 tweets that contained personal opinions about wearing facial masks to prevent the spread of COVID-19. While the majority of the tweets supported mask wearing, the proportion of anti-mask tweets stayed constant at about a 10% level throughout the study period. Common reasons for opposition included physical discomfort and negative effects, lack of effectiveness, and being unnecessary or inappropriate for certain people or under certain circumstances. The opposing tweets were significantly less likely to cite external sources of information such as public health agencies' websites to support the arguments.ConclusionsCombining machine learning and qualitative content analysis is an effective strategy for identifying public attitudes toward mask wearing and the reasons for opposition. The results may inform better communication strategies to improve the public perception of wearing masks and, in particular, to specifically address common anti-mask beliefs.

| S-EPMC7989302 | biostudies-literature

The relations between age, face mask perceptions and face mask wearing.

Project description:Popular press outlets have proposed that older individuals are less likely to wear face masks despite health benefits of doing so during the COVID-19 pandemic. The current article investigates this notion in four separate studies, and we also assess the mediating effect of face mask perceptions between age and face mask wearing using the eight-dimension Face Masks Perceptions Scale (FMPS). The sample-size weighted average correlation between age and face mask wearing was -.07 (95%C.I.[-.14, .001], Z-value = -1.928, P = .054, n = 824), indicating that older individuals are slightly less likely to wear face masks compared to younger individuals. Age did not have significant relations with any face mask perceptions, and the mediating effect of face mask perceptions was not robust or consistent. This indicates that the relation between age and face mask wearing is not explained by face mask perceptions, and researchers must turn to other explanatory mechanisms to understand this relation. We propose possible avenues, such as dual-system theories, to further investigate this research question as well as others associated with face mask perceptions, face mask wearing and the COVID-19 pandemic.

| S-EPMC7928787 | biostudies-literature

Reduced Perceived Trustworthiness during Face Mask Wearing.

Project description:To curb the diffusion of the novel coronavirus (SARS-CoV-2), governments worldwide have introduced different policies, including lockdowns, social distancing, and mandatory mask wearing. Face mask wearing, especially, has an impact on the formation of first impressions, given that when meeting someone for the first time, individuals rely on the only available piece of information, the newly met person's aesthetic appearance, in order to make initial estimations of other traits, such as competence, intelligence, or trustworthiness. However, face mask wearing affects the aesthetic appearance of an individual, creating uncertainty which, in turn, has been reported to reduce others' perceived trustworthiness. In this paper, the influence of face mask wearing on strangers' perceived trustworthiness and aesthetic appearance is assessed to verify the impact of this policy on impression formation. Participants (N = 71) have been instructed to assess the trustworthiness and the aesthetic appearance of a selection of 96 images depicting individuals of different ages (children, adults, and older adults), gender (men and women), and ethnicity (Asians or Caucasians). Participants were randomly divided into two groups: an experimental group and a control group. Participants in the experimental group (N = 38) rated faces of individuals wearing a face mask, while participants in the control group rated the same faces but in the absence of a face mask. Images were presented in random order. For each face, participants were asked to rate the aesthetic appearance and perceived trustworthiness of the stranger on two different 100-point Likert scales. Results demonstrate that (i) the correlation between perceived trustworthiness and aesthetic appearance is not affected by the presence of a face mask, and (ii) age, but not ethnicity and gender, influences the magnitude of differences in perceived trustworthiness levels during mask wearing.

| S-EPMC8628681 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data