Associations of the Big Five and locus of control with problem gambling in a large Australian sample.
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ABSTRACT:
SUBMITTER: von der Heiden JM
PROVIDER: S-EPMC8202919 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:ObjectiveThe present study estimates associations of the Big Five domains and their metatraits with individual indicators of eudaimonic, hedonic, and social well-being, as well as broader factors that capture the tendency for these individual indicators to correlate.MethodUsing data from a large sample of adults from the United States, confirmatory factor analysis and exploratory structural equation modeling was used to verify the factor structure of Big Five personality and well-being in adulthood. The factor structure of the Big Five domains and well-being was carried forward to estimate associations between personality and well-being at each of three assessments and different levels of analysis using structural equation modeling.ResultsAssociations between the Big Five metatraits and well-being were strong and consistent across the three measurements when the average ages of participants were 46, 54, and 63 years. Similar results were observed whether focused on a fine-grained or broad level of analysis.ConclusionsFor all types of well-being, the metatraits accounted for more variance than the Big Five domains, even when the Big Five were operationalized using latent factors, emphasizing the importance of considering this level of analysis when elucidating relations between personality and well-being.
| S-EPMC8196079 | biostudies-literature
Project description:The Diagnostic and Statistical Manual of Mental Disorders (DSM; 5th ed.) reassignment of gambling disorder as an addictive disorder alongside the substance-related addictive disorders encourages research into their shared etiologies. The aims of this study were to examine: (a) the associations of Big Five personality dimensions with alcohol, nicotine, cannabis, and gambling disorders, (b) the comorbidity between these disorders, (c) the extent to which common personality underpinnings explain comorbidity, (d) whether results differed for men and women, and (e) the magnitude of personality differences corresponding to the 4 disorders. Participants were 3,785 twins and siblings (1,365 men, 2,420 women; Mage = 32 years, range = 21-46 years) from the Australian Twin Registry who completed psychiatric interviews and Big Five personality inventories. The personality profile of high neuroticism, low agreeableness, and low conscientiousness was associated with all 4 addictive disorders. All but 1 of the pairwise associations between the disorders were significant. After accounting for Big Five traits, the associations were attenuated to varying degrees but remained significant. The results were generally similar for men and women. The results suggest that the Big Five traits of neuroticism, agreeableness, and conscientiousness are associated with the general propensity to develop an addictive disorder and may in part explain their co-occurrence; however, they may be more broadly associated with the propensity for any psychiatric disorder. The effect sizes of the personality associations suggest that the diagnosis of gambling disorder as operationalized by the DSM may be more severe than the other addictive disorders. Calibration of the diagnosis of gambling disorder to the other addictive disorders may be warranted. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
| S-EPMC7269105 | biostudies-literature
Project description:Published diagnostic questionnaires for gambling disorder in German are either based on DSM-III criteria or focus on aspects other than life time prevalence. This study was designed to assess the usability of the DSM-IV criteria based Berlin Inventory of Gambling Behavior Screening tool in a clinical sample and adapt it to DSM-5 criteria.In a sample of 432 patients presenting for behavioral addiction assessment at the University Medical Center Mainz, we checked the screening tool's results against clinical diagnosis and compared a subsample of n=300 clinically diagnosed gambling disorder patients with a comparison group of n=132.The BIG-S produced a sensitivity of 99.7% and a specificity of 96.2%. The instrument's unidimensionality and the diagnostic improvements of DSM-5 criteria were verified by exploratory and confirmatory factor analysis as well as receiver operating characteristic analysis.The BIG-S is a reliable and valid screening tool for gambling disorder and demonstrated its concise and comprehensible operationalization of current DSM-5 criteria in a clinical setting.
| S-EPMC5437393 | biostudies-literature
Project description:In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high dimensional, i.e. more dependent than independent replications of the trial are observed. The present paper discusses the applicability of max t-test-type statistics (multiple contrast tests) in high-dimensional designs (repeated measures or multivariate) with small sample sizes. A randomization-based approach is developed to approximate the distribution of the maximum statistic. Extensive simulation studies confirm that the new method is particularly suitable for analyzing data sets with small sample sizes. A real data set illustrates the application of the methods.
| S-EPMC8008424 | biostudies-literature
Project description:BACKGROUND:Little research has examined the potential protective influence of religiosity against problem gambling; a common addictive behavior, and one with a host of associated negative health and social outcomes. The aims of this study were to examine (1) the potential longitudinal association between religiosity and problem gambling among adults and (2) the potential moderating role of gender on this association. METHODS:Data were from five waves of the Quinte Longitudinal Study (QLS), between 2006 and 2010. Participants were Canadian adults from Belleville, Ontario, Canada (n = 4121). A multiple group (based on gender) latent growth curve analysis was conducted to examine the overall trajectory of problem gambling severity. Two models were tested; the first examined the influence of past-year religious service attendance, and the second examined an overall measure of personal religiosity on the trajectory of problem gambling. The Problem and Pathological Gambling Measure (PPGM) was used as a continuous measure. The Rohrbaugh-Jessor Religiosity Scale (RJRS) was used to assess past-year frequency of religious service attendance and personal religiosity. Religious affiliation (Protestant, Catholic, Atheist/Agnostic, Other, Prefer not to say) was also included in the models. RESULTS:At baseline, higher frequency of past-year religious service attendance (males: ?= -0.54, females: ?= -0.68, p < 0.001 for both) and greater overall personal religiosity (males: ?= -0.17, females: ?= -0.13, p < 0.001 for both) were associated with lower PPGM scores. The moderating effect of gender indicated that the influence of past-year religious service attendance was greater among females (?2diff(44) = 336.8, p < 0.001); however, the effect of overall religiosity was greater among males (?2diff(36) = 213.4, p < 0.001). Findings were mixed with respect to religious affiliation. No measures of religiosity or religious affiliation were associated with the overall decline in problem gambling severity. CONCLUSIONS:These findings suggest that religiosity may act as a static protective factor against problem gambling severity but may play a less significant role in predicting change in problem gambling severity over time.
| S-EPMC5674844 | biostudies-literature
Project description:The study of individual differences in positive characteristics has mainly focused on moral traits. The objectives of this research were to study individual differences in positive characteristics from the point of view of the layperson, including non-moral individual characteristics, and to generate a replicable model of positive factors. Three studies based on a lexical approach were conducted. The first study generated a corpus of words which resulted in a refined list of socially shared positive characteristics. The second study produced a five-factor model of positive characteristics: erudition, peace, cheerfulness, honesty, and tenacity. The third study confirmed the model with a different sample. The five-positive-factor model not only showed positive associations with emotional, psychological and social well-being, but it also accounted for the variance beyond that accounted for by the Big Five factors in predicting these well-being dimensions. In addition, the presence of convergent and divergent validity of the five positive factors is shown with relation to the Values-in-Action (VIA) classification of character strengths proposed by Peterson and Seligman (2004).
| S-EPMC5524674 | biostudies-literature
Project description:In 2016, the gambling habits of a sample of 3361 adults in the state of Victoria, Australia, were surveyed. It was found that a number of factors that were highly correlated with self-reported gambling frequency and gambling problems were not significant predictors of gambling frequency and problem gambling. The major predictors of gambling frequency were the degree to which family members and peers were perceived to gamble, self-reported approval of gambling, the frequency of discussing gambling offline, and the participant's Canadian Problem Gambling Severity Index (PGSI) score. Age was a significant predictor of gambling frequency for certain types of gambling (e.g. buying lottery tickets). Approximately 91% of the explainable variance in the participant's PGSI score could be explained by just five predictors: Positive Urgency; Frequency of playing poker machines at pubs, hotels or sporting clubs; Participation in online discussions of betting on gaming tables at casinos; Frequency of gambling on the internet, and Overestimating the chances of winning. Based on these findings, suggestions are made as to how gambling-related harm can be reduced.
| S-EPMC6343914 | biostudies-literature
Project description:Background and aimsThe pathways model is a highly cited etiological model of problem gambling. In the past two decades, a number of studies have found support for the model's utility in classifying gambling subtypes. The aims of this paper were to refine empirically the model subtypes and to revise and update the model based on those findings.Design and measurementObservational study using data collected from treatment-seeking problem gamblers using the Problem Gambling Severity Index (PGSI) and the Gambling Pathways Questionnaire (GPQ).SettingTreatment clinics in Canada, Australia and the United States.ParticipantsA convenience sample of 1168 treatment-seeking problem gamblers, aged 18 years or older.FindingsEmpirically validated risk factors were analyzed using latent class analyses, identifying a three-class solution as the best-fitting model. Those in the largest class (class 1: 44.3%, n = 517) reported the lowest levels of all etiological risk factors. Participants in class 2 (39.5%, n = 461) reported the highest rates of anxiety and depression, both before and after gambling became a problem, as well as childhood maltreatment, and a high level of gambling for stress-coping. Those in class 3 (16.3%, n = 190) reported high levels of impulsivity; risk-taking, including sexual risk-taking; antisocial traits; and coping to provide meaning in life and to alleviate stress.ConclusionsThe revised pathways model of problem gambling includes three classes of gamblers similar to the three subtypes in the original pathways model, but class 3 in the revised pathways model is distinct from class 2, showing higher levels of risk-taking and antisocial traits and gambling motivated by a desire for meaning/purpose and/or to alleviate stress. Class 2 in the revised pathways model demonstrates high levels of childhood maltreatment as well as gambling for stress-coping.
| S-EPMC9299878 | biostudies-literature
Project description:Gambling Disorder is a prevalent psychiatric condition often linked to dysfunction of cognitive domains regulating impulsive behavior. Despite the centrality of impulsivity to neurobiological models of Gambling Disorder, a comprehensive meta-analysis of all impulsive cognitive domains has yet to be conducted. It is also not clear whether cognitive deficits in Gambling Disorder extend to those with problem (at-risk) gambling. A systematic review was undertaken of case-control studies examining the following cognitive domains in Gambling Disorder or in at-risk (problem) gambling: attentional inhibition, motor inhibition, discounting, decision-making, and reflection impulsivity. Case-control differences in cognition were identified using meta-analysis (random-effects modeling). Moderation analysis explored potential influences of age, gender, presence/absence of comorbidities in cases, geographical region, and study quality on cognitive performance. Gambling Disorder was associated with significant impairments in motor (g = 0.39-0.48) and attentional (g = 0.55) inhibition, discounting (g = 0.66), and decision-making (g = 0.63) tasks. For problem gambling, only decision-making had sufficient data for meta-analysis, yielding significant impairment versus controls (g = 0.66); however, study quality was relatively low. Insufficient data were available for meta-analysis of reflection impulsivity. There was evidence for significant publication bias only for the discounting domain, after an outlier study was excluded. Study quality overall was reasonable (mean score 71.9% of maximum), but most studies (~85%) did not screen for comorbid impulse control and related disorders. This meta-analysis indicates heightened impulsivity across a range of cognitive domains in Gambling Disorder. Decision-making impulsivity may extend to problem (at-risk) gambling, but further studies are needed to confirm such candidate cognitive vulnerability markers.
| S-EPMC6588525 | biostudies-literature
Project description:BACKGROUND:Empathy promotes positive physician-patient communication and is associated with improved patient satisfaction, treatment adherence and clinical outcomes. It has been suggested that personality traits should be taken into consideration in programs designed to enhance empathy in medical education due to the association found between personality and empathy among medical students. However, the associations between empathy and big five personality traits in medical education are still underrepresented in the existing literature and relevant studies have not been conducted among medical students in China, where tensions in the physician-patient relationship have been reported as outstanding problems in the context of China's current medical reform. Thus, the main objective of this study was to examine the associations between empathy and big five personality traits among Chinese medical students. METHODS:A cross-sectional study was conducted in a medical university in Northeast China in June 2016. Self-reported questionnaires including the Interpersonal Reactivity Index (IRI) and Big Five Inventory (BFI) and demographic characteristics were distributed. A total of 530 clinical medical students became our final subjects. Hierarchical regression analysis was performed to explore the effects of big five personality traits on empathy. RESULTS:Results of this study showed that big five personality traits accounted for 19.4%, 18.1%, 30.2% of the variance in three dimensions of empathy, namely, perspective taking, empathic concern and personal distress, respectively. Specifically, agreeableness had a strong positive association with empathic concern (? = 0.477, P<0.01), and a moderate association with perspective taking (? = 0.349, P<0.01). Neuroticism was strongly associated with personal distress (? = 0.526, P<0.01) and modestly associated with perspective taking (? = 0.149, P<0.01). Openness to experience had modest associations with perspective taking (? = 0.150, P<0.01) and personal distress (? = -0.160, P<0.01). Conscientiousness had a modest association with perspective taking (? = 0.173, P<0.01). CONCLUSION:This study revealed that big five personality traits were important predictors of self-reported measures of both cognitive and affective empathy among Chinese medical students. Therefore, individualized intervention strategies based on personality traits could be integrated into programs to enhance empathy in medical education.
| S-EPMC5302826 | biostudies-other