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991.
Objective: Sufficient and good-quality sleep is important for individual functioning. This study explored associations between personality and sleep duration and sleep quality in adulthood. The mediating role of hedonic balance and the moderating roles of age and sex were also explored.

Method: A nationally representative sample of Australian adults (n = 14,065; Mage = 44.4 years; 53.1% women) completed self-report measures of personality, sleep, hedonic balance and demographic variables (e.g. health status, employment status) in late 2013.

Results: After controlling for demographic variables, we found that high neuroticism was associated with poorer sleep quality, and both long and short sleep durations (a curvilinear relationship). Small effects were also observed relating high extraversion and low openness to better sleep quality. Hedonic balance mediated all linear and non-linear associations between personality and sleep. Additional moderator analyses showed that high openness was more strongly related to poor sleep quality among men and young adults. High neuroticism was more strongly related to poor sleep quality among men.

Conclusion: Findings indicate that personality is important for sleep in adulthood and that hedonic balance features a prominent role in this association.  相似文献   

992.
In contrast to mean‐level comparisons, age group differences in personality trait variance have received only passing research interest. This may seem surprising because individual differences in personality characteristics are exactly what most of personality psychology is about. Because different proposed mechanisms of personality development may entail either increases or decreases in variance over time, the current study is exploratory in nature. Age differences in variance were tested by comparing the standard deviations of the five‐factor model domain and facet scales across two age groups (20 to 30 years old versus 50 to 60 years old). Samples from three cultures (Estonia, the Czech Republic and Russia) were employed, and two methods (self‐reports and informant‐reports) were used. The results showed modest convergence across samples and methods. Age group differences were significant for 11 of 150 facet‐level comparisons but never consistently for the same facets. No significant age group differences were observed for the five‐factor model domain variance. Therefore, there is little evidence for individual differences in personality characteristics being systematically smaller or larger in older as opposed to younger people. We discuss the implications of these findings for understanding personality development. Copyright © 2015 European Association of Personality Psychology  相似文献   
993.
Background and Objectives: The present study tries to gain more insight in workaholism by investigating its antecedents and consequences using the job demands-resources model. Design: We hypothesized that job demands would be positively related to workaholism, particularly when job resources are low. In addition, we hypothesized that workaholism would be positively related to negative outcomes in three important life domains: health, family, and work. Methods: The research involved 617 Italian workers (employees and self-employed). To test the hypotheses we applied structural equation modeling (SEM) and moderated structural equation modeling (MSEM) using Mplus 6. Results: The results of SEM showed a good model where workload, cognitive demands, emotional demands, and customer-related social stressors were positively related to workaholism and work–family conflict (WFC) (partial mediation). Additionally, workaholism was indirectly related to exhaustion and intentions to change jobs through WFC. Moreover, MSEM analyses confirmed that job resources (job security and opportunities for development) buffered the relationship between job demands and workaholism. Particularly, the interaction effects were statistically significant in five out of eight combinations. Conclusions: These findings suggest that workaholism is a function of a suboptimal work environment and predicts unfavorable employee outcomes. We discuss the theoretical and practical implications of these findings.  相似文献   
994.
Cognitive scientists have tried to explain the neural mechanisms of unconscious mental states such as coma, epileptic seizures, and anesthesia-induced unconsciousness. However these types of unconscious states are different from the psychoanalytic unconscious. In this review, we aim to present our hypothesis about the neural correlates underlying psychoanalytic unconscious. To fulfill this aim, we firstly review the previous explanations about the neural correlates of conscious and unconscious mental states, such as brain oscillations, synchronicity of neural networks, and cognitive binding. By doing so, we hope to lay a neuroscientific ground for our hypothesis about neural correlates of psychoanalytic unconscious; parallel but unsynchronized neural networks between different layers of consciousness and unconsciousness. Next, we propose a neuroscientific mechanism about how the repressed mental events reach the conscious awareness; the lock of neural synchronization between two mental layers of conscious and unconscious. At the last section, we will discuss the data about schizophrenia as a clinical example of our proposed hypothesis.  相似文献   
995.
IntroductionThe 10-item Perceived Stress Scale (PSS-10) is a brief, widely-used measure of perceived stressful experiences that evaluates the degree to which people perceive their lives as unpredictable, uncontrollable or overloaded.ObjectiveThe present study examined the factor structure of the Greek version of the PSS-10.MethodUsing a representative sample of 320 adults from Cyprus, alternative confirmatory factor analytic models were compared to specifically assess bidimensional versus unidimensional specifications for the scale.ResultsA bifactor model with a general factor which loads on all items and a specific one which loads on positively-worded items that capture the notion of self-efficacy to deal with stressful situations, was found to fit well to the data, while providing evidence of a robust latent factor of general distress. Reliability and construct validity evidence with multiple criterion variables were also examined.ConclusionsAlthough a simple unidimensional specification has not been empirically supported in previous research, bifactor modeling exemplifies the extent of multidimensionality and implies that a single score may be reliably used for practical purposes.  相似文献   
996.
The study examined whether a behavior-change intervention focusing on self-regulatory strategies and emphasizing role model support increases physical activity (PA) among insufficiently active (not meeting PA guidelines of 150 min/week) cancer patients. Ambulatory cancer patients [N = 72; 54% female; M = 56 years, SD = 12.34; most with breast or colon cancer (34, 15%)] were enrolled in the MOTIVACTION-study, a 4-week intervention (1-hr counseling, followed by weekly phone calls), with pretest (T1), posttest (T2) and a 10-week follow-up (T3). Participants were randomized to either an exercise or to a stress management intervention (active control). The exercise intervention emphasized self-regulatory strategies (e.g. action- and coping planning and self-monitoring); patients were also encouraged to contact a physically active same-sex role model as a potential exercise partner. The active control condition consisted of coping and relaxation techniques. Sixty-seven patients remained in the study and completed the SQUASH assessment of PA and a measure of perceived stress. PA was validated by Actigraph accelerometry. At T2, 46% of the patients in the exercise group and 19% of stress management patients increased their activity levels to meet PA guidelines (>150 min/week; χ2(1) = 5.51, p = .019). At T3, participants in the exercise intervention maintained their exercise level (46%), but also 31% of the stress management patients met the guidelines. All patients reported reductions in perceived stress. Additional analyses comparing patients in the exercise group by role model contact (63% realized contact) revealed that those who had contact with their role model were significantly more likely to adhere to the recommended guidelines (T2:50%; T3:64%) compared to those who did not have contact with a role model (T2:39%; T3:15%), suggesting the potential of mobilizing role model support to facilitate PA. In sum, cancer patients may not only benefit from an exercise intervention emphasizing self-regulation, but also from stress management, regarding both reducing stress and increasing PA.  相似文献   
997.
Physician shortage and turnover are major problems worldwide. On-call duties may be among the risk factors of high turnover rates among physicians. We investigated whether having on-call duties is associated with physicians’ turnover intention and whether job strain variables moderate this association. The present study was a cross-sectional questionnaire study among 3324 (61.6% women) Finnish physicians. The analyses were conducted using analyses of covariance adjusted for age, gender, response format, specialization status and employment sector. The results showed that job strain moderated the association between being on-call and turnover intention. The highest levels of turnover intention were among those who had on-call duties and high level of job strain characterized by high demands and low control opportunities. The lowest levels of turnover intention were among those who were not on-call and who had low strain involving low demands and high control. Also, job demands moderated the association between being on-call and turnover intention; turnover intention levels were higher among those with on-call duties and high demands than those being on-call and low demands. To conclude, working on-call was related to physicians’ turnover intention particularly in those with high job strain. Health care organizations should focus more attention on working arrangements and scheduling of on-call work, provide a suitable working pace and implement means to increase physicians’ participation and control over their job.  相似文献   
998.
Red-Light-Running (RLR) is the major cause of severe injury crashes at signalized intersections for both China and the US. As several studies have been conducted to identify the influencing factors of RLR behavior in the US, no similar studies exist in China. To fill this gap, this study was conducted to identify the key factors that affect RLR and compare the contributing factors between US and China. Data were collected through field observations and video recordings; four intersections in Shanghai were selected as the study sites. Both RLR drivers and comparison drivers, who had the opportunity to run the light but did not, were identified. Based on the collected data, preliminary analyses were firstly conducted to identify the features of the RLR and comparison groups. It was determined that: around 57% of RLR crossed the stop line during the 0–0.4 second time interval after red-light onset, and the numbers of red light violators decreased as the time increased; among the RLR vehicles, 38% turned left and 62% went straight; and at the onset of red, about 88% of RLR vehicles were in the middle of a vehicle platoon. Furthermore, in order to compare the RLR group and non-RLR group, two types of logistic regression models were developed. The ordinary logistic regression model was developed to identify the significant variables from the aspects of driver characteristics, driving conditions, and vehicle types. It was concluded that RLR drivers are more likely to be male, have local license plates, and are driving passenger vehicles but without passengers. Large traffic volume also increased the likelihood of RLR. However, the ordinary logistic regression model only considers influencing factors at the vehicle level: different intersection design and signal settings may also have impact on RLR behaviors. Therefore, in order to account for unobserved heterogeneity among different types of intersections, a random effects logistic regression model was adopted. Through the model comparisons, it has been identified that the model goodness-of-fit was substantially improved through considering the heterogeneity effects at intersections. Finally, benefits of this study and the analysis results were discussed.  相似文献   
999.
Drivers are estimated to contribute an overwhelming proportion to the burden of traffic crashes, as factors that increase crash risk are frequently due to unsafe driving behaviours. The relationship between risk perceptions and people’s risky driving behaviours is still not well understood. This paper aims to further analyse the potential effect of risky driving behaviours on drivers’ perceptions of crash risk and differences in perceptions among drivers.Crash risk perceptions in an inter-city, two-way road context of 492 drivers were measured by using a Stated Preference (SP) ranking survey. Rank-ordered logit models were used to evaluate the impact on risk perception of five unsafe driving behaviours and to identify differences in drivers’ risk perceptions. The five unsafe driving behaviours considered in the analysis were respectively related to whether or not the driver follows the speed limits, the rules of passing another car and the safe distance, whether or not the driver is distracted, and whether or not she/he is driving under optimal personal conditions.All risky driving behaviours showed a significant potential effect (p < 0.001) on crash risk perceptions, and model’s results allowed to differentiate more important from less important unsafe driving behaviours based on their weight on perceived crash risk. Additionally, this paper further analyses the potential differences in risk perception of these traffic violations between drivers of different characteristics, such as driving experience, household size, income and gender.The SP technique could be applied to further analyse differences in perceptions of risky driving behaviours among drivers. Future research should consider the potential effect of driving skill on perceptions of risky driving behaviours.  相似文献   
1000.
Motivating people to change their departure time could play a key role in reducing peak-hour congestion, which remains one of the most prevalent transport problems in large urban areas. To achieve this behavioural change, it is necessary to better understand the factors that influence departure time choice. So far departure time choice modelling focussed mainly on objective factors, such as time and costs as main behavioural determinants. In this study, we derived psychological factors based on the Theory of Planned Behaviour, estimated them based on structural equation modelling, and included them into a discrete choice model. The psychological factors were measured based on an online questionnaire addressed to car commuters to the city centre of Copenhagen (N = 286). The questionnaire additionally included a travel diary and a stated preference experiment with nine departure time choice scenarios. All psychological factors had a significant effect on departure time choice and could improve the model as compared to a basic discrete choice model without latent constructs. As expected, the effects of the psychological factors were different depending on framework conditions: for people with fixed starting times at work, the intention to arrive at work on time (as estimated by subjective norm, attitude, perceived behavioural control) had the strongest effect; for people with flexible working hours, the attitude towards short travel time was most relevant. Limitations, the inclusion of additional psychological factors and their possible interactions are discussed.  相似文献   
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