Specific Sub-dimensions Research Articles

Unwrapping the Influence of Proactive Personality on Job Satisfaction During Organizational Socialization: Examining the Intervening Effects of Newcomers’ Perceptions of Person–Environment Fit

AbstractThis study focuses on the mediating role of person–environment fit on the relationship between proactive personality and job satisfaction, during the organizational socialization stage. Specifically, it tests the role of person–organization fit and person–job fit, operationalized through its specific subdimensions of demands–abilities fit and needs–supplies (N–S) fit in this relationship. Relying upon a predictive design, a sample of 151 trainees completing their final master’s internship in different organizations was used and data were collected in 2 independent phases, at the beginning and after 5 months of their internships. Results showed a positive, significant link between proactive personality and job satisfaction, supporting the validity of this disposition for predicting this key outcome during organizational onboarding. Further mediation analyses revealed that this relationship is mediated by N–S fit. The main implications of these findings are discussed.

Effects of coaches' authentic leadership on athletes' training competition satisfaction: The mediating roles of psychological ownership and athlete engagement

Coaching leadership greatly impacts athletes’ mental health and wellbeing. Although research shows a positive link between authentic leadership and athlete satisfaction, studies on specific subdimensions are limited. This study examines the influence of authentic leadership on athlete engagement and performance, utilizing a conditional process model to explore the mediating effects of psychological ownership and athlete engagement. A survey of 381 athletes (274 male, 107 female; Mage = 19.98; SD = 2.48) from team and individual sports found that perceived authentic leadership positively correlates with training competition satisfaction, psychological ownership, and athlete engagement. Structural equation modeling revealed that psychological ownership and athlete engagement significantly mediate this relationship. Thus, authentic leadership directly and indirectly enhances athletes’ satisfaction.

Dyadic Associations Between Self and Peer Engagement in Online Alcohol-Facilitative Communication and College Student Drinking

In a sample of 562 college student peer dyads ( M age = 20.47, SD = 1.26; 65.7% female; 68.8% White), this study investigates how college student engagement (both their own and their peer’s) in online alcohol-facilitative communication is associated with frequency of past year drinking. Data were drawn from a study conducted in 2016–2018 in the Southeastern United States. Actor-partner interdependence models suggest that college students who engaged in more alcohol-facilitative communication, and whose peer engaged in more alcohol-facilitative communication, drank more frequently and more heavily than those students who engaged in less alcohol-facilitative communication (even when controlling for their peer's offline drinking). Moreover, college student engagement in online alcohol-facilitative communication was a stronger predictor of their own drinking than their peer's engagement. The hypothesized interaction between self- and peer-reported alcohol-facilitative communication did not emerge overall, though exploratory analyses of specific subdimensions of alcohol-facilitative communication suggested a potential ceiling effect.

The moderating role of psychological power distance on the relationship between destructive leadership and emotional exhaustion

Destructive leadership, a prevalent negative behavior in modern organizations, continues to captivate the interest of scholars and professionals due to its detrimental aftermath. Drawing from social psychological (culture) and conservation of resources theory, we explore the moderating impact of psychological power distance on the link between destructive leadership and emotional exhaustion. The main contribution of this study is that it has created new information about the moderating role of some specific sub-dimensions of psychological power distance (e.g., hierarchy, prestige) in the relationship between destructive leadership and emotional exhaustion. Our findings also reveal a positive correlation between a destructive leadership style and emotional exhaustion. Furthermore, the prestige aspect of psychological power distance amplifies the influence of deficient leadership abilities and unethical conduct on emotional exhaustion. Notably, our study highlights that in the Turkish context, characterized by high power distance, and escalating hierarchies the impact of nepotism disparities on emotional exhaustion. In conclusion, these novel insights underscore a significant research avenue regarding cultural facets.

Multidisciplinary analysis of cancer-related fatigue at the time of diagnosis: preliminary results of the BIOCARE FActory cohort.

Cancer-related fatigue (CRF) is a common side effect of cancer and cancer treatment that significantly impairs the quality of life and can persist for years after treatment completion. Although fatigue is often associated with cancer treatment, it is also a result of the disease itself, even before intervention. CRF at the time of diagnosis may affect treatment timing or completion and is a consistent predictor of post-treatment fatigue at any time. The mechanisms underlying CRF are multidimensional and not well understood, particularly at the time of diagnosis. Sixty-five breast cancer patients at the time of diagnosis were included. The participants completed self-assessment questionnaires about CRF, sleep disturbances, and emotional symptoms and wore an accelerometer to assess levels of spontaneous physical activity and sleep quality. During the experimental session, the participants underwent cognitive, neuromuscular, and exercise metabolism evaluations. Using augmented backward elimination regression, this study found that emotional symptoms and perceived sleep disturbances were the strongest predictors of CRF (adjusted r2 = 0.51). Neuromuscular fatigability and sleep disturbance were also associated with physical dimensions, whereas cognitive performance was associated with cognitive dimensions. At the time of diagnosis, emotional and cognitive dimensions are over-represented compared to the general population, and specific subdimensions have specific predictors that support the idea of distinct mechanisms. Evaluating CRF subdimensions and their potential mechanisms at the time of diagnosis would be particularly relevant for identifying high-risk patients and offering them appropriate interventions. This study was registered at ClinicalTrials.gov (NCT04391543) in May, 2020.

Assessing the virtual reality perspectives and self-directed learning skills of nursing students: A machine learning-enhanced approach

AimThis study aims to investigate nursing students’ perspectives on virtual reality technologies and their self-directed learning skills, specifically focusing on how these variables interact and influence each other in the context of nursing education. We also discern potential disparities in these skills based on descriptive characteristics, using both traditional statistical and advanced machine learning approaches for a comprehensive analysis. BackgroundRapid developments in technology, particularly during the Covid-19 pandemic, have brought virtual reality technologies to the forefront of nursing education. However, there is a gap in understanding how nursing students’ perceptions of these technological relate to their development of self-directed learning skills. DesignA descriptive and cross-sectional study design is employed to both quantify nursing students’ perspectives on virtual reality in their education and assess their self-directed learning skills. This approach integrates traditional statistical methods with advanced machine learning techniques, with the intention of offering a comprehensive and nuanced analysis to inform future teaching strategies in nursing. MethodsThe study used a blend of survey scales and a tree-based machine learning model to measure and analyze nursing students’ views, attitudes and self-directed learning levels. This dual approach allows for a more detailed assessment of the factors influencing self-directed learning abilities. Traditional statistical techniques were also applied to assess the reliability of the machine learning findings. ResultsFindings reveal that nursing students generally held positive views towards virtual reality technologies and exhibited a high level of self-directed learning skills. Notable differences in self-directed learning skills were influenced by gender on the overall scale (p <0.001), with male students scoring higher than their female counterparts in both specific sub-dimensions and on the overall scale, but not by academic year. The machine learning analysis provided deeper insights into these variations, highlighting subtle distinctions in student demographics that traditional statistical methods did not fully capture. ConclusionsThe study offers valuable insights into interconnected nature of nursing students’ views on virtual reality technologies and their self-directed learning skills. The results support the integration of virtual reality in nursing curriculum programs and underscore the importance of customizing teaching strategies based on insights gained from machine learning analyses. This approach has the potential to substantially improve both the learning experience and the overall quality of nursing education.

Differences in eye movements for face recognition between Canadian and Chinese participants are not modulated by social orientation.

Face recognition strategies do not generalize across individuals. Many studies have reported robust cultural differences between West Europeans/North Americans and East Asians in eye movement strategies during face recognition. The social orientation hypothesis posits that individualistic vs. collectivistic (IND/COL) value systems, respectively defining West European/North American and East Asian societies, would be at the root of many cultural differences in visual perception. Whether social orientation is also responsible for such cultural contrast in face recognition remains to be clarified. To this aim, we conducted two experiments with West European/North American and Chinese observers. In Experiment 1, we probed the existence of a link between IND/COL social values and eye movements during face recognition, by using an IND/COL priming paradigm. In Experiment 2, we dissected the latter relationship in greater depth, by using two IND/COL questionnaires, including subdimensions to those concepts. In both studies, cultural differences in fixation patterns were revealed between West European/North American and East Asian observers. Priming IND/COL values did not modulate eye movement visual sampling strategies, and only specific subdimensions of the IND/COL questionnaires were associated with distinct eye-movement patterns. Altogether, we show that the typical contrast between IND/COL cannot fully account for cultural differences in eye movement strategies for face recognition. Cultural differences in eye movements for faces might originate from mechanisms distinct from social orientation.

Dissecting Schizotypy and Its Association With Cognition and Polygenic Risk for Schizophrenia in a Nonclinical Sample.

Schizotypy is a multidimensional construct that captures a continuum of risk for developing schizophrenia-spectrum psychopathology. Existing 3-factor models of schizotypy, consisting of positive, negative, and disorganized dimensions have yielded mixed evidence of genetic continuity with schizophrenia using polygenic risk scores. Here, we propose an approach that involves splitting positive and negative schizotypy into more specific subdimensions that are phenotypically continuous with distinct positive symptoms and negative symptoms recognized in clinical schizophrenia. We used item response theory to derive high-precision estimates of psychometric schizotypy using 251 self-report items obtained from a non-clinical sample of 727 (424 females) adults. These subdimensions were organized hierarchically using structural equation modeling into 3 empirically independent higher-order dimensions enabling associations with polygenic risk for schizophrenia to be examined at different levels of phenotypic generality and specificity. Results revealed that polygenic risk for schizophrenia was associated with variance specific to delusional experiences (γ = 0.093, P = .001) and reduced social interest and engagement (γ = 0.076, P = .020), and these effects were not mediated via the higher-order general, positive, or negative schizotypy factors. We further fractionated general intellectual functioning into fluid and crystallized intelligence in 446 (246 females) participants that underwent onsite cognitive assessment. Polygenic risk scores explained 3.6% of the variance in crystallized intelligence. Our precision phenotyping approach could be used to enhance the etiologic signal in future genetic association studies and improve the detection and prevention of schizophrenia-spectrum psychopathology.

Multidimensional Evaluation of EU and Slovakia in the Context of Digital Transformation

The Covid-19 pandemic highlighted the cardinal intent, in which digital technologies play a key role in building a sustainable future, revealing disparities between digitally equipped companies and those that are still implementing digital solutions. It showed the difference between urban, rural and remote areas with good connections. This paper is divided into two parts. The first aim is to evaluate the performance of the digital economy and society according to its basic dimensions and quantify and compare the position of 28 European Union countries (considering Great Britain as a member) in the international area using DESI - (Digital Economy and Society Index). It will look to evaluate the overall change in the development of the Slovak Republic between individual periods based on the main dimensions of the composite index. The second part aims to find the clusters of the European Union countries by using data on their rankings within the five dimensions of DESI. Correlation analysis is used to meet the first aim, cluster analysis is used to meet the second aim. The data are obtained from the Ministry of Investment, Regional Development and Informatization of the Slovak Republic and the database of the European Centre for Digitization. The results show a statistically significant correlation in the rankings of the EU countries between the analysed years 2016-2020. Moreover, among the European Union countries, there are internally homogeneous and external heterogeneous groups of countries with respect to ranking within DESI dimensions. Cluster analysis has not been used so far in analysing DESI in the existing literature. Therefore, the results of this paper fill such a research gap.Implications for Central European audience: Quantification and comparison of the position of 28 European Union countries in the international area using DESI can help to identify and improve the digital competitiveness of European Union countries. Knowing five dimensions of DESI, its specific subdimensions, and indicators can help to identify controversial areas to which the state should pay attention. This paper deals, in more detail, with the position of Slovakia in the digital competitiveness of the EU using DESI.

Intimacy despite distance: The dark triad and romantic parasocial interactions

Individuals who score high on the dark triad of socially aversive traits—narcissism, psychopathy, and Machiavellianism—are prone to engage in short-term, non-committal romantic encounters. However, little is known about the transferability of this behavior to these individuals’ intimate interactions with media characters (i.e., romantic parasocial interactions). To close this research gap, we conducted a two-level-between-subjects experiment with young adults in Germany ( N = 116). Our results reveal that, although individuals who score high on the dark triad traits are particularly prone to engage in the specific sub-dimensions emotional love and responses to the media character of romantic parasocial interactions, they are not particularly prone to experience physical love for the media character. Moreover, our results show an alternative negative effect operating through an enhanced tendency to perceive a narrative as “corny” among those with Machiavellian and psychopathic personalities. To underline the similarity between parasocial and real-life romantic interactions, we further investigated the relationship between romantic parasocial interactions and an individual’s perceived relatedness gratification. The results suggest that interacting with and responding to the media character enhance perceived relatedness gratification, but that the romantic connotation of the parasocial interaction is not crucial for the feeling of relatedness during media reception.

Appetite for Destruction: A Psychometric Examination and Prevalence Estimation of Destructive Leadership in Sweden.

There is a growing awareness that destructive leadership has a significant negative impact on employe outcomes. However, little is known about the content and dimensionality of this multidimensional concept, and there are few reliable measures available for organizations and researchers to evaluate these behaviors. Based on a representative sample (N = 1132) of the Swedish workforce, the aim of this study is threefold: first, to examine the factor structure and validity of an easy-to-use multidimensional destructive leadership measure (Destrudo-L)in the general Swedish work context; second, to identify destructive leadership profiles using latent profile analysis (LPA), and determine in what way they are related to employe outcomes; third, to examine the prevalence of destructive leadership using population weights to estimate responses of a population total in the Swedish workforce (N = 3100282). Our analysis supported the structural validity of Destrudo-L, reflecting both a global factor and specific subdimensions. We identified seven unique destructive leadership profiles along a passive and active continuum of destructive leadership behaviors, with the active showing a less favorable relation to employe outcomes. Finally, we found that a substantial proportion of the Swedish workforce report being exposed to destructive leadership (36.4–43.5%, depending on method used). Active destructive leadership was more common in the public sector and passive destructive leadership in the private. Given the potentially severe effects and the commonness of these behaviors, we argue that organizations should work actively with strategies to identify and intervene, to prevent and to handle the manifestation of these harmful behaviors.

Examining the roles of cognitive flexibility, emotion recognition, and metacognitions in adult Attention Deficit and Hyperactivity Disorder with predominantly inattentive presentation.

The evaluation of cognitive functions in Attention Deficit and Hyperactivity Disorder (ADHD) is fundamental to improve the efficacy of therapeutic interventions. However, the role of specific higher-order cognitive functions in adult ADHD, including cognitive flexibility, emotion recognition, and metacognitions, remains unclear. Therefore, in the current study, we aimed to examine these three distinct higher-order cognitive functions among adult ADHD individuals. Forty patients with ADHD with predominantly inattentive presentation and 42 healthy controls participated in the study. The Adult Attention Deficit and Hyperactivity Disorder Scale (AADHDS), the Wisconsin Card Sorting Test (WCST), the Reading the Mind in the Eyes Test (RMET), and the Metacognitions Questionnaire-30 (MCQ-30) were administered. Results indicated that patients with ADHD had worse metacognitions scores, in specific subdimensions, relative to healthy controls. However, cognitive flexibility and emotion recognition did not differ between the groups. Moreover, the cognitive confidence subdimension of the MCQ-30 was found to be sole significant predictor in the attention deficit subdimension of the AADHDS. Our findings suggest that lack of cognitive confidence may contribute to ADHD symptomatology despite regularly functioning cognitive flexibility and emotion recognition. Therefore, metacognitions could be a suitable target to alleviate the severity of ADHD symptoms.

THE EFFECT OF CONDUCTING SPORTS ON IMAGERY AND TRAIT ANXIETY LEVELS OF UNIVERSITY STUDENTS

Our study aim is the study the effect of doing sports on imagery and trait anxiety in university students. The relational scanning model was used in this study, which examined the imagery and trait anxiety relationship of university students who do sports and those who do not. The universe of the research; while creating OMU, 371 active students participated in the sample group in the 2019-2020 academic year. The participants were administered a personal information form (6) developed by the researchers, the imagery Inventory developed by Hall, Mack, Paivio, and Hausenblas (1998), and the Trait Anxiety Scale (20) developed by Spielberger, Goursuch, and Lushene (1970). Gender was found to affect the imagery sub-dimensions (p &lt;0.05) and trait anxiety (p = 0.007). While doing sports had no effect on imagery (p&gt; 0.05), it was observed that it affected trait anxiety (p = 0.003). Alcohol use had no effect on imagery and trait anxiety (p&gt; 0.05). While smoking affected the general motivation (p = 0.05) in the imagination levels, it did not affect the other imagery states and trait anxiety (p&gt; 0.05). While it affected the cognitive (p = 0.004) and motivational specific (p = 0.008) sub-dimensions at imagination levels with age, it did not affect the general motivation and mastery sub-dimensions (p&gt; 0.05). Age had an effect on trait anxiety levels (p = 0.04). It has been found that gender and age affect imagery and trait anxiety. It has been found that alcohol and cigarette use did not affect it. While doing sports has no effect on imagery, it has been found that it affects trait anxiety.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0727/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Examining the Factorial Structure of the Maternal Separation Anxiety Scale in a Portuguese Sample.

The increase in women’s labor market participation emphasizes the importance of understanding maternal separation anxiety, that is, the unpleasant maternal emotional state, due to the actual or anticipated short-term separation from the child. Drawing on the insights of the attachment and psychoanalytic perspectives, the Maternal Separation Anxiety Scale (MSAS) was developed to overcome existing measurement gaps. However, prior research did not replicate its original three-factor structure in the contemporary context and in other cultural settings, using large samples composed of mothers of preschool children. This study aimed to examine the factorial structure of the MSAS in a sample of 597 Portuguese mothers of children aged 5–84 months who completed the questionnaire. The exploratory factor analysis (EFA) conducted in subsample 1 revealed a four-factor structure: Maternal Negative Feelings, Beliefs about Exclusive Maternal Care, Need of Proximity, and Perceptions of Separation Benefits for Children. Confirmatory factor analyses conducted in subsample 2 revealed that the original three-factor structure revealed a poor fit, whereas the four-factor solution (obtained in the EFA) revealed an acceptable fit. As in previous studies, our findings report deviations from the original three-factor structure of the MSAS. Three of the newly identified factors seem to reflect specific sub-dimensions that originally guided item development in the MSAS, namely, maternal negative feelings, maternal attitudes about the value of exclusive maternal care, and the need of proximity with the child. The last factor appears to represent a refinement of original items pertaining to perceptions about separation effects for children.

Economic Outcomes of Immigrants with Different Migration Motives: The Role of Labour Market Policies

Abstract This paper studies the role of labour market policies for economic outcomes of immigrants with different migration motives. Using two recent European Union Labour Force Surveys ad hoc modules and applying country fixed-effects models, we examine if labour market policies can alleviate the economic disadvantage of family reunification and refugee immigrants in comparison to economic immigrants. In line with previous studies, we find that even after controlling for differences in human capital and socio-demographic characteristics, family reunification, and particularly refugee immigrants have considerably lower labour force participation and employment rates, and when employed, work fewer hours and have a lower occupational status than economic immigrants. However, we also find that the economic disadvantage of family reunification and refugee immigrants is significantly smaller in countries with more extensive labour market policies. These findings hold for the overall labour market mobility index as well as its specific sub-dimensions: general and targeted support and workers’ rights.

How does bridging social capital relate to health-behavior, overweight and obesity among low and high educated groups? A cross-sectional analysis of GLOBE-2014

BackgroundSocial capital is an important determinant of health, but how specific sub-dimensions of social capital affect health and health-related behaviors is still unknown. To better understand its role for health inequalities, it is important to distinguish between bonding social capital (connections between homogenous network members; e.g. similar educational level) and bridging social capital (connections between heterogeneous network members). In this study, we test the hypotheses that, 1) among low educational groups, bridging social capital is positively associated with health-behavior, and negatively associated with overweight and obesity, and 2) among high educational groups, bridging social capital is negatively associated with health-behavior, and positively with overweight and obesity.MethodsCross-sectional data on educational level, health-behavior, overweight and obesity from participants (25–75 years; Eindhoven, the Netherlands) of the 2014-survey of the GLOBE study were used (N = 2702). Social capital (“How many of your close friends have the same educational level as you have?”) was dichotomized as: bridging (‘about half’, ‘some’, or ‘none of my friends’), or bonding (‘all’ or ‘most of my friends’). Logistic regression models were used to study whether bridging social capital was related to health-related behaviors (e.g. smoking, food intake, physical activity), overweight and obesity, and whether these associations differed between low and high educational groups.ResultsAmong low educated, having bridging social capital (i.e. friends with a higher educational level) reduced the likelihood to report overweight (OR 0.73, 95% CI 0.52–1.03) and obesity (OR 0.58, 95% CI 0.38–0.88), compared to low educated with bonding social capital. In contrast, among high educated, having bridging social capital (i.e. friends with a lower educational level) increased the likelihood to report daily smoking (OR 2.11, 95% CI 1.37–3.27), no leisure time cycling (OR 1.55, 95% CI 1.17–2.04), not meeting recommendations for vegetable intake (OR 2.09, 95% CI 1.50–2.91), and high meat intake (OR 1.39, 95% CI 1.05–1.83), compared to high educated with bonding social capital.ConclusionsBridging social capital had differential relations with health-behavior among low and high educational groups. Policies aimed at reducing segregation between educational groups may reduce inequalities in overweight, obesity and unhealthy behaviors.

Ten questions concerning modeling of distributed multi-energy systems

Distributed Multi-Energy Systems (D-MES) can sustainably transform the energy supply of buildings, districts, and communities by integrating multiple energy efficient technologies, renewable energy sources, and electricity, gas, and thermal energy networks to provide heating, cooling and electricity services. However, D-MES typically exhibit high levels of technical complexity and encompass various economic, environmental, and policy-related aspects. Consequently, energy models are needed to optimally design and operate D-MES and to analyze their performance in detail. A multitude of aspects must be considered when developing a D-MES model. A first aspect, for instance, is whether an optimization or a simulation approach is more appropriate for the model's scope. Moreover, it is important to accurately represent all the relevant technical characteristics and performance constraints of the various energy generation, storage and distribution network technologies in the model. Additionally, in many cases, adopting approaches from other domains like urban and building energy simulation might be required to identify building requirements for heating, cooling, and electricity. Additional aspects, such as the uncertainty of a model's parameters, which complicates D-MES design and operation decisions, or the computational burdens imposed by extending these models towards the whole-city scale also need to be considered. Finally, methods that can bridge models that focus on specific sub-dimensions of D-MES and allow for more holistic D-MES modeling need to be developed. This paper aims to address these key challenges and to outline recent developments in the field of modeling of D-MES by answering ten questions about the most relevant D-MES modeling dimensions.

Social Media News Use and Political Cynicism: Differential Pathways Through “News Finds Me” Perception

As citizens inadvertently “encounter” news and political information through digital media and social networking sites, they might perceive themselves to be well informed about politics without actively seeking political information, which has been labeled as the “News Finds Me” (NFM) perception. We attempt to explicate and further advance the conceptualization and corresponding measurement of “News Finds Me” perception. Using a nationally representative survey conducted in Austria, our analysis shows that social media news use may contribute to cynicism towards politics, and that such a relationship is critically mediated through NFM perceptions, but to a differential degree depending on specific sub-dimensions of NFM perceptions.

A multi-dimensional evaluation of craving and impulsivity among people admitted for alcohol-related problems in emergency department

Craving and impulsivity are key psychological dimensions involved in the development and maintenance of severe alcohol-use disorders. This study proposes an integrative evaluation of craving (Visual Analogue Scale, VAS and Obsessive Compulsive Drinking Scale, OCDS) and impulsivity (UPPS Scale and Barratt Impulsiveness Scale) among patients admitted in emergency department for alcohol misuse. Ninety-eight patients were included. Regression analyses showed that the scores obtained at the compulsive subscale of the OCDS, at the VAS and at the Urgency subscale of impulsivity constitute the main predictors of the severity of alcohol-use disorders (indexed by the AUDIT). These results suggest that specific sub-dimensions of craving and impulsivity may play a critical and joint role in the maintenance of excessive alcohol consumption.

Distress Tolerance as a Correlate of Tobacco Dependence and Motivation: Incremental Relations over and above Anxiety and Depressive Symptoms

ABSTRACTDistress tolerance—the capacity to withstand distressing states—is implicated in the etiology of regular smoking. The present study extends past research by examining whether relations between perceived distress tolerance and smoking-related factors: (1) differ across subdimensions of distress tolerance (Tolerance, Appraisal, Regulation, Absorption); (2) extend across measures of dependence, negative reinforcement smoking, and craving; and (3) are incremental to depressive and anxiety symptoms. Results showed that global distress tolerance was associated with measures of dependence, negative reinforcement, and craving even after controlling for affective symptomatology. Subdimensions of distress tolerance were not uniquely related to smoking outcomes in unadjusted or adjusted models. These findings suggest that: (a) distress tolerance is uniquely implicated in smoking over and above affective symptomatology; and (b) specific subdimensions of distress tolerance do not provide more information about smoking-related characteristics than global dimensions; and (c) addressing distress tolerance in smoking cessation interventions may promote successful cessation.