HEXACO and Dark Triad Personality Traits as Predictors of Male Attractiveness in Different Relationship Contexts

This study aimed to further investigate the perceived attractiveness of the Dark Triad (DT) personality in different types of relationships (i.e. friendship, short-term and long-term relationship) controlling for basic personality traits from the HEXACO model. The participants were 167 female students (M = 20.82 years, SD = 1.54) who rated personality and attractiveness of a man with highly expressed DT characteristics (n = 91) or a low-scoring DT character (n = 76) presented in a vignette. In line with recent findings, we observed a high negative correlation between the Honesty-Humility factor and DT personality (r = -.88, p < .001). As hypothesized, there was a significant difference in attractiveness ratings for the two characters in the context of different interpersonal relationships, with high DT character rated as significantly more attractive than the low DT character in the context of short-term mating. Furthermore, the hierarchical regression analysis showed that DT personality had a unique contribution in predicting attractiveness in the context of short-term relationship, after controlling for the basic personality traits.

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Looking from the bright side: The Light Triad predicts Tinder use for love

Journal of Social and Personal Relationships ◽

10.1177/0265407520918942 ◽

2020 ◽

Vol 37 (7) ◽

pp. 2136-2144 ◽

Cited By ~ 1

Author(s):

Barış Sevi ◽

Burak Doğruyol

Keyword(s):

Personality Traits ◽

Online Dating ◽

Dark Triad ◽

Significant Relation ◽

Short Term ◽

Cross Sectional ◽

Short And Long Term ◽

Bright Side ◽

Cooperative Relationship

The Dark Triad of personality has gained much attention in the literature, while the lighter side of personality has not received comparable attention. This study aimed to examine how the Light Triad of personality traits (Faith in Humanity, Humanism, and Kantianism) differs between Tinder users, and how these personality traits are related to motivations to use Tinder for short- and long-term mating. Cross-sectional data from current Tinder users ( n = 130), past Tinder users ( n = 56), and people who have never used Tinder ( n = 121) were examined. The results revealed that compared to Tinder users, nonusers have higher scores on Kantianism, which might be related to Kantians not emphasizing attractiveness, a factor that has a role in online dating success. Further, Tinder users with higher total scores on the Light Triad were found to show higher motivation to use Tinder for long-term mating, whereas a significant relation was not found motivation to use Tinder for short-term mating. Long-term mating requires establishing a cooperative relationship with someone, and the motivation to use Tinder to find long-term mates may be due to the cooperation-promoting nature of the Light Triad.

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Above and beyond Short-Term Mating, Long-Term Mating is Uniquely Tied to Human Personality

Evolutionary Psychology ◽

10.1177/147470491301100514 ◽

2013 ◽

Vol 11 (5) ◽

pp. 147470491301100 ◽

Cited By ~ 33

Author(s):

Nicholas S. Holtzman ◽

Michael J. Strube

Keyword(s):

Personality Traits ◽

Dark Triad ◽

Two Dimensional ◽

Dimensional Model ◽

Short Term ◽

One Dimensional ◽

Two Dimensional Model ◽

First Time ◽

Different Sources

To what extent are personality traits and sexual strategies linked? The literature does not provide a clear answer, as it is based on the Sociosexuality model, a one-dimensional model that fails to measure long-term mating (LTM). An improved two-dimensional model separately assesses long-term and short-term mating (STM; Jackson and Kirkpatrick, 2007 ). In this paper, we link this two-dimensional model to an array of personality traits (Big 5, Dark Triad, and Schizoid Personality). We collected data from different sources (targets and peers; Study 1), and from different nations (United States, Study 1; India, Study 2). We demonstrate for the first time that, above and beyond STM, LTM captures variation in personality.

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The Dark Side of Tinder

Journal of Individual Differences ◽

10.1027/1614-0001/a000297 ◽

2019 ◽

Vol 40 (4) ◽

pp. 242-246 ◽

Cited By ~ 7

Author(s):

Barış Sevi

Keyword(s):

Personality Traits ◽

Online Dating ◽

Mating Strategies ◽

Dark Triad ◽

Dark Side ◽

Significant Relation ◽

Short Term

Abstract. Tinder is the leading online dating application. This study ( N = 271) explored the Dark Triad personality traits (i.e., Machiavellianism, narcissism, and psychopathy) and sociosexuality as correlates of Tinder use. The results revealed that Tinder users had higher scores on the Dark Triad traits and sociosexuality, compared to non-users. Also, Tinder users with higher scores on the Dark Triad traits and sociosexuality significantly showed greater motivation to use Tinder for short-term mating; however, there was no significant relation with Tinder use and motivation for long-term mating. This finding supports the idea that Tinder can be a new venue for people high on the Dark Triad to pursue their short-term mating strategies.

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In Search of the Prosocial Personality

Journal of Individual Differences ◽

10.1027/1614-0001/a000276 ◽

2019 ◽

Vol 40 (1) ◽

pp. 55-62 ◽

Cited By ~ 3

Author(s):

Anja Wertag ◽

Denis Bratko

Keyword(s):

Prosocial Behavior ◽

Personality Traits ◽

Significant Proportion ◽

Dark Triad ◽

Self Report ◽

Hierarchical Regression ◽

Regression Analyses ◽

The Relationship

Abstract. Prosocial behavior is intended to benefit others rather than oneself and is positively linked to personality traits such as Agreeableness and Honesty-Humility, and usually negatively to the Dark Triad traits (i.e., Machiavellianism, narcissism, and psychopathy). However, a significant proportion of the research in this area is conducted solely on self-report measures of prosocial behavior. Therefore, the aim of this study was to investigate the relationship between prosociality and the basic (i.e., HEXACO) and dark personality traits, comparing their contribution in predicting both self-reported prosociality and prosocial behavior. Results of the hierarchical regression analyses showed that the Dark Triad traits explain prosociality and prosocial behavior above and beyond the HEXACO traits, emphasizing the importance of the Dark Triad in the personality space.

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Combined Androgen Blockade in Localized Prostate Cancer Treated With Definitive Radiation Therapy

Journal of the National Comprehensive Cancer Network ◽

10.6004/jnccn.2019.7335 ◽

2019 ◽

Vol 17 (12) ◽

pp. 1497-1504

Author(s):

Lucas K. Vitzthum ◽

Chris Straka ◽

Reith R. Sarkar ◽

Rana McKay ◽

J. Michael Randall ◽

...

Keyword(s):

Prostate Cancer ◽

Radiation Therapy ◽

High Risk ◽

Cox Proportional Hazards ◽

Hazard Ratio ◽

Short Term ◽

Combined Androgen Blockade ◽

Significant Difference ◽

Androgen Blockade

Background: The addition of androgen deprivation therapy to radiation therapy (RT) improves survival in patients with intermediate- and high-risk prostate cancer (PCa), but it is not known whether combined androgen blockade (CAB) with a gonadotropin-releasing hormone agonist (GnRH-A) and a nonsteroidal antiandrogen improves survival over GnRH-A monotherapy. Methods: This study evaluated patients with intermediate- and high-risk PCa diagnosed in 2001 through 2015 who underwent RT with either GnRH-A alone or CAB using the Veterans Affairs Informatics and Computing Infrastructure. Associations between CAB and prostate cancer–specific mortality (PCSM) and overall survival (OS) were determined using multivariable regression with Fine-Gray and multivariable Cox proportional hazards models, respectively. For a positive control, the effect of long-term versus short-term GnRH-A therapy was tested. Results: The cohort included 8,423 men (GnRH-A, 4,529; CAB, 3,894) with a median follow-up of 5.9 years. There were 1,861 deaths, including 349 resulting from PCa. The unadjusted cumulative incidences of PCSM at 10 years were 5.9% and 6.9% for those receiving GnRH-A and CAB, respectively (P=.16). Compared with GnRH-A alone, CAB was not associated with a significant difference in covariate-adjusted PCSM (subdistribution hazard ratio [SHR], 1.05; 95% CI, 0.85–1.30) or OS (hazard ratio, 1.02; 95% CI, 0.93–1.12). For high-risk patients, long-term versus short-term GnRH-A therapy was associated with improved PCSM (SHR, 0.74; 95% CI, 0.57–0.95) and OS (SHR, 0.82; 95% CI, 0.73–0.93). Conclusions: In men receiving definitive RT for intermediate- or high-risk PCa, CAB was not associated with improved PCSM or OS compared with GnRH alone.

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15. Democracies, Democratization, and Authoritarian Regimes

Introduction to Politics ◽

10.1093/hepl/9780198820611.003.0015 ◽

2020 ◽

pp. 336-362

Author(s):

Peter Ferdinand

Keyword(s):

Economic Development ◽

Recent Literature ◽

Authoritarian Regimes ◽

Short Term ◽

National Crisis ◽

Different Types ◽

Types Of Democracy ◽

The Face ◽

Long Term Trends

This chapter focuses on democracies, democratization, and authoritarian regimes. It first considers the two main approaches to analysing the global rise of democracy over the last thirty years: first, long-term trends of modernization, and more specifically economic development, that create preconditions for democracy and opportunities for democratic entrepreneurs; and second, the sequences of more short-term events and actions of key actors at moments of national crisis that have precipitated a democratic transition — also known as ‘transitology’. The chapter proceeds by discussing the different types of democracy and the strategies used to measure democracy. It also reviews the more recent literature on authoritarian systems and why they persist. Finally, it examines the challenges that confront democracy in the face of authoritarian revival.

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Can a simple, short-term memory task help to screen dyslexia?

Current Psychology ◽

10.1007/s12144-019-00568-4 ◽

2019 ◽

Author(s):

Nick Perham ◽

Toni Howell ◽

Andy Watt

Keyword(s):

High Frequency ◽

Short Term Memory ◽

Memory Task ◽

Compulsory Education ◽

Low Frequency ◽

Short Term ◽

Term Order ◽

Significant Difference ◽

Support Students

AbstractFunding to support students with dyslexia in post-compulsory education is under pressure and more efficient assessments may offset some of this shortfall. We tested potential tasks for screening dyslexia: recall of adjective-noun, compared to noun-adjective, pairings (syntax) and recall of high versus low frequency letter pairings (bigrams). Students who reported themselves as dyslexic failed to show a normal syntax effect (greater recall of adjective-noun compared to noun-adjective pairings) and no significant difference in recall between the two types of bigrams whereas students who were not dyslexic showed the syntax effect and a bias towards recalling high frequency bigrams. Findings are consistent with recent explanations of dyslexia suggesting that those affected find it difficult to learn and utilise sequential long-term order information (Szmalec et al. Journal of Experimental Psychology: Learning, Memory & Cognition, 37(5) ,1270-1279, 2011). Further, ROC curve analyses revealed both tasks showed acceptable diagnostic properties as they were able to discriminate between the two groups of participants.

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Does meloxicam provide adequate pain management as a post-operative analgesic in canine ovariohysterectomy patients?

The Veterinary Nurse ◽

10.12968/vetn.2020.11.4.192 ◽

2020 ◽

Vol 11 (4) ◽

pp. 192-197

Author(s):

Gavin Goldsbrough ◽

Helen Reynolds

Keyword(s):

Pain Management ◽

Pain Score ◽

Pain Scale ◽

Short Term ◽

Post Surgery ◽

Pain Scores ◽

Significant Difference ◽

Time Frames ◽

Adequate Pain Management

Background: Meloxicam is an analgesic agent with anti-inflammatory properties, commonly used in veterinary practices to treat a variety of different long-term medical conditions and is also used as a short-term pain relief following particularly traumatic surgeries. Aims: An observational study was conducted to determine whether meloxicam provides adequate pain management as a post-operative analgesic for canine ovariohysterectomies. Methods: 13 canines were admitted for ovariohysterectomy. Each patient was assessed using the Glasgow composite pain scale (CMPS) prior to surgery during the admission procedure, 15 minutes post-operatively, at discharge and at their post-operative check (POC) 3–5 days after surgery. Results: Data were statistically analysed to determine the overall effectiveness of meloxicam in reducing pain following canine ovariohysterectomy. The results showed a statistically significant difference (Kruskal-Wallis test: H3 =12.98, p=0.005) in pain scores between admission, 15 minutes post operatively, discharge and 3–5 days POC. The greatest decrease in pain score was between 15 minutes post-operatively and POC (Mann-Whitney U test: W=236, n=13, 13, p=0.0014) and between discharge and POC (Mann-Whitney U test: W=227, n=13, 13, p=0.0060). Overall, this demonstrated that there was an improvement in pain suggesting meloxicam is effective between these time frames. In addition, 69.2% (n=9) of patients in the study showed a pain score of 0, indicating an absence of pain, on their final POC. Statistical analysis was also used to determine if there was any difference in pain score between the 3, 4 or 5 day POC pain score. The results show there was no significant difference (Kruskal-Wallis test: H2 =0.090, p=0.638) suggesting that meloxicam's effectiveness was similar across this range of time post surgery. Conclusion: The results from the study indicate that meloxicam is an effective post-operative analgesic for canine patients undergoing an ovariohysterectomy.

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Integration of geological and seismological data in earthquakes occurrence models for Italy: towards a unified model for different forecast perspectives

Geophysical Journal International ◽

10.1093/gji/ggz419 ◽

2019 ◽

Vol 219 (3) ◽

pp. 2148-2164

Author(s):

A M Lombardi

Keyword(s):

Aftershock Sequence ◽

Earthquake Forecasting ◽

Short Term ◽

Background Rate ◽

Etas Model ◽

Term Forecast ◽

Earthquake Predictability ◽

Background Seismicity ◽

Different Types

SUMMARY The operational earthquake forecasting (OEF) is a procedure aimed at informing communities on how seismic hazard changes with time. This can help them live with seismicity and mitigate risk of destructive earthquakes. A successful short-term prediction scheme is not yet produced, but the search for it should not be abandoned. This requires more research on seismogenetic processes and, specifically, inclusion of any information about earthquakes in models, to improve forecast of future events, at any spatio-temporal-magnitude scale. The short- and long-term forecast perspectives of earthquake occurrence followed, up to now, separate paths, involving different data and peculiar models. But actually they are not so different and have common features, being parts of the same physical process. Research on earthquake predictability can help to search for a common path in different forecast perspectives. This study aims to improve the modelling of long-term features of seismicity inside the epidemic type aftershock sequence (ETAS) model, largely used for short-term forecast and OEF procedures. Specifically, a more comprehensive estimation of background seismicity rate inside the ETAS model is attempted, by merging different types of data (seismological instrumental, historical, geological), such that information on faults and on long-term seismicity integrates instrumental data, on which the ETAS models are generally set up. The main finding is that long-term historical seismicity and geological fault data improve the pseudo-prospective forecasts of independent seismicity. The study is divided in three parts. The first consists in models formulation and parameter estimation on recent seismicity of Italy. Specifically, two versions of ETAS model are compared: a ‘standard’, previously published, formulation, only based on instrumental seismicity, and a new version, integrating different types of data for background seismicity estimation. Secondly, a pseudo-prospective test is performed on independent seismicity, both to test the reliability of formulated models and to compare them, in order to identify the best version. Finally, a prospective forecast is made, to point out differences and similarities in predicting future seismicity between two models. This study must be considered in the context of its limitations; anyway, it proves, beyond argument, the usefulness of a more sophisticated estimation of background rate, inside short-term modelling of earthquakes.

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Postoperative hemorrhage during the acute phase after direct or combined revascularization for moyamoya disease: risk factors, prognosis, and literature review

Journal of Neurosurgery ◽

10.3171/2019.7.jns19885 ◽

2020 ◽

Vol 133 (5) ◽

pp. 1450-1459

Author(s):

Yu Chen ◽

Li Ma ◽

Junlin Lu ◽

Xiaolin Chen ◽

Xun Ye ◽

...

Keyword(s):

Risk Factors ◽

Acute Phase ◽

Moyamoya Disease ◽

Disease Risk ◽

Propensity Score Analysis ◽

Postoperative Hemorrhage ◽

Posterior Circulation ◽

Short Term ◽

Significant Difference

OBJECTIVEPostoperative hemorrhage during the acute phase is rarely observed after revascularization surgery for moyamoya disease (MMD) but can have severe complications. Its risk factors and outcomes are still unclear. The aim of this study was to investigate the predictors of postoperative hemorrhage during the acute phase in MMD and examine the outcomes of the hemorrhage.METHODSThe authors reviewed the preoperative clinical characteristics and radiographic features of 465 consecutive MMD cases (518 procedures) that had undergone direct or combined bypass surgery at their institution between 2009 and 2015. Patients with postoperative intracerebral hemorrhage (ICH) or ICH plus intraventricular hemorrhage (IVH) during the acute phase were screened, and then the incidence, location, and risk factors of hemorrhage in these patients were analyzed. Short-term and long-term outcomes (modified Rankin Scale scores) for these patients were also collected. Outcomes were compared between patients with and those without postoperative ICH using propensity score analysis to reduce the between-group differences in baseline characteristics.RESULTSPostoperative hemorrhage occurred in 11 (2.1%; ICH = 9, IVH = 2) of 518 procedures (mean patient age 39.82 ± 8.8 years). Hemorrhage occurred in the first 24 hours after the operation in 8 cases (72.7%). In the ICH group, most of the hemorrhage sites (77.8%) were located beneath the anastomosed area, and the mean hematoma volume was 16.98 ± 22.45 ml (range 3–57 ml). One case from the ICH group required hematoma evacuation. Among the adult patients (463 procedures [89.4%]), preoperative hypertension (p = 0.008), CT perfusion (CTP) stage > III (p = 0.013), and posterior circulation involvement (p = 0.022) were significantly associated with postoperative ICH. No significant differences between the postoperative ICH group and the no-hemorrhage group were detected in terms of postoperative neurofunctional status at discharge (p = 0.569) or at the last follow-up (p = 1.000). Neither was there a significant difference in future stroke risk (p = 0.538) between these two groups.CONCLUSIONSPreoperative hypertension, CTP stage > III, and posterior circulation involvement are independent risk factors for postoperative ICH after direct or combined revascularization for MMD. After appropriate perioperative management, postoperative ICH has no significant correlations with the postoperative short-term and long-term neurofunctional status.

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