Dark Tetrad and COVID-19 protective measures: Mediating effects of risk-taking tendencies.
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ABSTRACT:
SUBMITTER: Konc I
PROVIDER: S-EPMC8563827 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:With the emergence of the novel SARS-CoV-2 and the disease it causes; COVID-19, compliance with/adherence to protective measures is needed. Information is needed on which measures are, or are not, being undertaken. Data collected from the COVID Impact Survey, conducted by the non-partisan and objective research organization NORC at the University of Chicago on April, May, and June of 2020, were analyzed through weighted Quasi-Poisson regression modeling to determine the association of demographics, socioeconomics, and health conditions with protective health measures taken at the individual level in response to COVID-19. The three surveys included data from 18 regional areas including 10 states (CA, CO, FL, LA, MN, MO, MT, NY, OR, and TX) and 8 Metropolitan Statistical Areas (Atlanta, GA; Baltimore, MD; Birmingham, AL; Chicago, IL; Cleveland and Columbus, OH; Phoenix, AZ; and Pittsburgh, PA). Individuals with higher incomes, insurance, higher education levels, large household size, age 60+, females, minorities, those who have asthma, have hypertension, overweight or obese, and those who suffer from mental health issues during the pandemic were significantly more likely to report taking precautionary protective measures relative to their counterparts. Protective measures for the three subgroups with a known relationship to COVID-19 (positive for COVID-19, knowing an individual with COVID-19, and knowing someone who had died from COVID-19) were strongly associated with the protective health measures of washing hands, avoiding public places, and canceling social engagements. This study provides first baseline data on the response to the national COVID-19 pandemic at the individual level in the US. The found heterogeneity in the response to this pandemic by different variables can inform future research and interventions to reduce exposure to the novel SARS-CoV-2 virus.
| S-EPMC7503253 | biostudies-literature
Project description:PURPOSE:It was the primary purpose of the present systematic review to identify the optimal protection measures during COVID-19 pandemic and provide guidance of protective measures for orthopedic surgeons. The secondary purpose was to report the protection experience of an orthopedic trauma center in Wuhan, China during the pandemic. METHODS:A systematic search of the PubMed, Cochrane, Web of Science, Google Scholar was performed for studies about COVID-19, fracture, trauma, orthopedic, healthcare workers, protection, telemedicine. The appropriate protective measures for orthopedic surgeons and patients were reviewed (on-site first aid, emergency room, operating room, isolation wards, general ward, etc.) during the entire diagnosis and treatment process of traumatic patients. RESULTS:Eighteen studies were included, and most studies (13/18) emphasized that orthopedic surgeons should pay attention to prevent cross-infection. Only four studies have reported in detail how orthopedic surgeons should be protected during surgery in the operating room. No detailed studies on multidisciplinary cooperation, strict protection, protection training, indications of emergency surgery, first aid on-site and protection in orthopedic wards were found. CONCLUSION:Strict protection at every step in the patient pathway is important to reduce the risk of cross-infection. Lessons learnt from our experience provide some recommendations of protective measures during the entire diagnosis and treatment process of traumatic patients and help others to manage orthopedic patients with COVID-19, to reduce the risk of cross-infection between patients and to protect healthcare workers during work. LEVEL OF EVIDENCE:IV.
| S-EPMC7283425 | biostudies-literature
Project description:BackgroundAlthough by late February 2020 the COVID-19 epidemic was effectively controlled in Wuhan, China, estimating the effects of interventions, such as transportation restrictions and quarantine measures, on the early COVID-19 transmission dynamics in Wuhan is critical for guiding future virus containment strategies. Since the exact number of infected cases is unknown, the number of documented cases was used by many disease transmission models to infer epidemiological parameters. This means that it was possible to produce biased estimates of epidemiological parameters and hence of the effects of intervention measures, because the percentage of all cases that were documented changed during the first 2 months of the epidemic, as a consequence of a gradually improving diagnostic capability.MethodsTo overcome these limitations, we constructed a stochastic susceptible-exposed-infected-quarantined-recovered (SEIQR) model, accounting for intervention measures and temporal changes in the proportion of new documented infections out of total new infections, to characterize the transmission dynamics of COVID-19 in Wuhan across different stages of the outbreak. Pre-symptomatic transmission was taken into account in our model, and all epidemiological parameters were estimated using the Particle Markov-chain Monte Carlo (PMCMC) method.ResultsOur model captured the local Wuhan epidemic pattern as two-peak transmission dynamics, with one peak on February 4 and the other on February 12, 2020. The impact of intervention measures determined the timing of the first peak, leading to an 86% drop in the Re from 3.23 (95% CI, 2.22 to 4.20) to 0.45 (95% CI, 0.20 to 0.69). The improved diagnostic capability led to the second peak and a higher proportion of documented infections. Our estimated proportion of new documented infections out of the total new infections increased from 11% (95% CI 1-43%) to 28% (95% CI 4-62%) after January 26 when more detection kits were released. After the introduction of a new diagnostic criterion (case definition) on February 12, a higher proportion of daily infected cases were documented (49% (95% CI 7-79%)).ConclusionsTransportation restrictions and quarantine measures together in Wuhan were able to contain local epidemic growth.
| S-EPMC8097251 | biostudies-literature
Project description:The COVID-19 pandemic strains the healthcare systems, economy, education, and social life. Governments took several protective measures and formulated behavioral guidelines to prevent individual diseases and the collapse of healthcare systems. However, individual differences in the extent of compliance with the measures are apparent. To shed more light on this issue, the present correlational study examined the joint relation of several personal characteristics to people's motivation to comply with seven protective measures. Personal characteristics included age, gender, risk perception, the Big Five, the Dark Triad, conspiracy mentality, perceived locus of control, and general affect. Protective measures included social distancing, hygiene rules, wearing face masks, using a contact-tracing app, sharing one's infection status via the app, reducing physical contacts, and vaccinations. The study ran from 10 November 2020 to 29 December 2020. Based on a sample of 1,007 German-speaking participants, bivariate correlations and multiple regression analyses showed that personal characteristics are significantly linked to the motivation to comply with these measures. However, general affect, control beliefs, and basic personality traits play only a minor role. Age and gender showed some significant associations with protective measures. In contrast, protection motivation factors, in terms of perceived severity of and vulnerability to infection, and conspiracy mentality appear to be the major correlates of adopting protective behavior. The absolute motivation to comply with the measures also shows that hygiene rules and wearing face masks receive a higher average agreement than more personally intrusive measures such as physical contact restrictions and vaccinations. These results highlight that factors that are relevant to some measures may be irrelevant to other measures. Differences in people's personal characteristics should be considered in the design and communication of measures to support social acceptance and effectiveness. In this context, cognitive variables, which can be addressed by communication and education directly, seem to be more important than general affect and relatively time-invariant personality traits.
| S-EPMC9234562 | biostudies-literature
Project description:Following the growing evidence that personality is related to various health behaviors, we examined whether personality traits were related to compliance with COVID-19 protective measures and evaluated the extent to which associations were moderated by age, gender, or race/ethnicity among older adults during a summer 2020 surge of COVID-19 cases in the United States. Data were from the 2020 Health and Retirement Study COVID-19 module. Multivariate ordinary least squares regression analyses were computed adjusting for health, psychosocial, and sociodemographic factors. Results indicated the significant associations between personality traits and compliance with COVID-19 measures varied by age, gender, and race/ethnicity. Specifically, the associations of agreeableness with wearing a mask and frequent handwashing were less pronounced among older compared with younger individuals. The association between extraversion and wearing masks was stronger for men than for women. The associations of agreeableness with handwashing and physical distancing were weaker for Hispanic older adults, whereas the associations of extraversion with physical distancing and using sanitizers were stronger for Hispanic older adults than for their non-Hispanic White counterparts. Implications regarding behavioral science underlying the current pandemic and future public health crises are discussed.
| S-EPMC8743447 | biostudies-literature
Project description:BackgroundAdherence to COVID-19 protective measures is lowest for young people and males. The current study investigated characteristics associated with adherence to COVID-19 protective measures among male youth during the early months of the pandemic.MethodThe study used data from a prospective cohort study among male youth with baseline assessment in 2015/2016 and follow-up measurements in 2019 and summer 2020. Attrition-weighted multivariable ordinal logistic and log-binomial regression models were used to assess factors associated with adherence to overall and specific adherence measures, respectively.ResultsAmong 571 male youth (mean age 18.5), overall adherence was higher for those who were older (OR: 1.15; 95% CI: 1.03-1.30), non-White (OR: 1.96; 95% CI: 1.20-3.32), and residing in an urban area (OR: 2.06; 95% CI: 1.46-3.01). Overall adherence was lower for those who had a history of being drunk (OR: 0.65; 95% CI: 0.42-0.99). For outdoor mask-wearing, adherence was higher for youth with attention-deficit disorder or attention-deficit/hyperactivity disorder (RR: 1.58; 95% CI: 1.16-1.97) and lower for youth who currently used tobacco products (RR: 0.42; 95% CI: 0.21-0.70). Before a statewide mask mandate was issued, non-White youth were more likely to report wearing masks in outdoor spaces than their non-Hispanic White peers (RR: 2.34; 95% CI: 1.75-3.23).ConclusionThe study identified demographic, psychosocial, and behavioral factors associated with adherence to COVID-19 protective behaviors among male youth. The findings illustrate characteristics that could be leveraged for targeted preventive efforts during the ongoing pandemic and future outbreaks in a low-compliance group.
| S-EPMC9091545 | biostudies-literature
Project description:Fire setting is a significant problem for society, costing many human lives and causing great property damage. One important risk factor of fire setting observed in forensic samples is fire interest. However, less is known about the relationship of fire interest and fire setting to other variables such as personality traits in subclinical samples. In this study, we observed the relationship of potentially important personality traits with fire interest and fire setting in a sample of N = 222 students. In addition to zero-order correlations, we calculated path models and a logistic regression including all predictor variables. From the Dark Tetrad, consisting of psychopathy, narcissism, Machiavellianism, and three facets of sadism, psychopathy, and physical sadism were found to be associated with fire interest and fire setting. Furthermore, vicarious sadism was associated with fire interest. The other Dark Tetrad traits and four sensation seeking facets did not substantially add to the predictions. This confirms the results of previous studies with clinical and forensic samples with psychopathy and sadism as relevant predictors for fire interest and fire setting. Our results also provide evidence for viewing sadism as the multidimensional construct discriminating between vicarious and other forms of sadism, for the distinction of psychopathy and Machiavellianism, and for the Dark Tetrad being linked to object related violence.
| S-EPMC9272986 | biostudies-literature
Project description:The aim of the present study was to investigate associations between four highly used self-report measures assessing empathy (measured as both a unidimensional and multidimensional construct), autistic tendencies, and systemizing tendencies. Participants in this study completed the following self-report measures: The Interpersonal Reactivity Index (IRI) and the Empathy Quotient (EQ) to measure empathy, and the Autism Spectrum Quotient (AQ) and the Systemizing Quotient-Revised (SQ-R) to assess autistic and systemizing tendencies, respectively. The final sample consisted of N = 1,098 participants (304 males) without a diagnosed autism spectrum disorder, most of whom were university students. The IRI scale "Perspective Taking" and the EQ were negatively related to the AQ in male and female participants, while the IRI scale "Empathic Concern" was negatively related to the AQ in females only. Moreover, the AQ was positively related to the SQ-R in females only. Lastly, the SQ-R and a number of the empathy scales were significantly associated: For example and surprisingly, the EQ correlated weakly and positively with the SQ-R in both male and female participants. The results from this study illustrate how standard self-report measures of empathy, autistic tendencies, and systemizing tendencies are associated with each other in a large sample not diagnosed with an autism spectrum disorder. Additionally, some potential gender-specific effects are revealed.
| S-EPMC6522547 | biostudies-literature
Project description:The Short Dark Tetrad (SD4) was developed as a brief measure of the Dark Tetrad, which comprises narcissism, Machiavellianism, psychopathy, and sadism. Previous research suggests the possibility of cultural differences in these traits in Western and Eastern cultures. We developed and validated the Chinese form of SD4 (C-SD4) cross four studies in a large sample (total N = 3181) to assist in solving problems caused by these differences. In study 1, we adjusted the item pool on the basis of the original form of SD4. In Study 2, we trimmed the scale to generate a 28-item version of C-SD4 and examined correlations with Big-5. In study 3, we examined the internal structure, measurement invariance, and criterion validity of the C-SD4. In study 4 we examined C-SD4 test-retest reliability and compared item content to standard measures. This package of studies suggests that the C-SD4 is a reliable and valid measure of the Dark Tetrad in Chinese participants.
| S-EPMC9938411 | biostudies-literature
Project description:BackgroundThere has been debate on the use of angiotensin-converting enzyme‑2 (ACE2) expression mediating pharmacotherapy in COVID-19 infected patients. Although it has been suggested that these drugs might lead to a higher susceptibility and severity of COVID-19 infection, experimental data suggest these agents may reduce acute lung injury via blocking angiotensin-II-mediated pulmonary permeability, inflammation and fibrosis.MethodsA systematic literature search was performed to answer the question: What is the effect of medications that influence ACE2 expression (ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), nonsteroidal anti-inflammatory drugs (NSAIDs) and thiazolidinediones) on the outcomes of COVID-19? Relevant outcome measures were mortality (crucial), hospital admission, length of stay, thromboembolic complications (pulmonary embolism, stroke, transient ischaemic attack), need for mechanical ventilation, acute kidney injury and use of renal replacement therapy. Medline and Embase databases were searched with relevant search terms until 24 June 2020. After systematic analysis, nine studies were included.ResultsThe results were described for two different groups, an overall group in which all users were compared with non-users and a group in which only hypertensive patients were included. Within each group a distinction was made between results for ACEI/ARB use, ACEI use, ARB use, NSAID use and thiazolidinedione use. None of the studies demonstrated increased mortality in the two groups. Furthermore, none of the studies showed an effect on other outcome measures in COVID-19, such as ICU admission, length of hospital stay, thromboembolic complications, need for mechanical ventilation, acute kidney failure or need for renal replacement therapy. However, the level of evidence of all studies varied from 'moderate' to 'very low', according to the GRADE methodology.ConclusionAnalysis of the literature demonstrated that there was insufficient evidence to answer our objective on the effect of ACE2 expression mediating pharmacotherapy on outcome in COVID-19 patients, especially due to the low scientific quality of the described studies. Randomised controlled studies are needed to answer this question.
| S-EPMC8050813 | biostudies-literature