338 research outputs found

    The Relationship Between Adolescent Marijuana Use and Impulsivity: A Meta-Analytic Review

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    poster abstractObjective: Sensation seeking, a component of impulsivity, has been studied extensively as a personality predictor of marijuana-related behaviors. Other traits of impulsivity have been examined sporadically; however, to date, no review has synthesized the research of this multidimensional trait. The present study reviewed existent literature to examine (1) how separable impulsive personality traits relate to marijuana use and to marijuana use consequences and (2) how these relationships might differ across gender and race. Method: 46 total studies (51 independent samples) were analyzed using a random effects model to examine the relationship between individual impulsive personality traits and marijuana use and consequences. Results: Impulsivity had a small but significant association with marijuana-related behaviors (r= 0.22, p<0.01). Relationships were more robust for marijuana use consequences than marijuana use (Qbetween= 9.60, p<0.01). Importantly, facets of impulsivity such as lack of planning, negative urgency, and positive urgency, had similar relationships with marijuana use (rlpl= 0.13, p<0.01; rnur= 0.23, p<0.01; rpur= 0.19, p<0.01) and marijuana use consequences (rlpl= 0.47, p<0.01; rnur= 0.26, p= 0.22; rpur= 0.37, p<0.01) as sensation seeking (rss= 0.22, p<0.01 and rss= 0.39, p<0.01, respectively). While non-significant, there was a large effect for gender (β= -0.26, p=0.12) and a medium effect for race (β= 0.38, p=0.40) in moderating the relationship between impulsivity and marijuana consequences, such that samples with more Whites and more males had trends towards more robust effect sizes. Discussion: Impulsivity has a robust association with marijuana-related consequences than with marijuana use. Multiple facets of impulsivity were related to marijuana use and its consequences. Research and intervention should consider targeting multiple impulsivity traits to reduce the harmful consequences associated with adolescent marijuana use. Such initiatives should also consider gender and race differences in the impulsivity-marijuana use relationship

    Basal buoyancy and fast-moving glaciers: in defense of analytic force balance

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    The geometric approach to force balance advocated by T. Hughes in a series of publications has challenged the analytic approach by implying that the latter does not adequately account for basal buoyancy on ice streams, thereby neglecting the contribution to the gravitational driving force associated with this basal buoyancy. Application of the geometric approach to Byrd Glacier, Antarctica, yields physically unrealistic results, and it is argued that this is because of a key limiting assumption in the geometric approach. A more traditional analytic treatment of force balance shows that basal buoyancy does not affect the balance of forces on ice streams, except locally perhaps, through bridging effects

    Faith at Work Scale

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    Connecting Religion and Work: Patterns and Influences of Work-Faith Integration

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    Religiosity can significantly impact human behavior yet little is known about how religious belief and practice integrate with work. Using the Faith at Work Scale, we surveyed Christian workers in the United States (n = 374) and found that work-faith integration was positively associated with faith maturity, church attendance, age and denominational strictness, and negatively associated with organizational size. Denominational groups varied in their degree of integration but displayed similar patterns across dimensions of integration.Work-faith integration was manifest most strongly in integration related to the self, and somewhat less so in areas related to others and in transcendent aspects of work. Respondents attributed spiritual disciplines and workplace mentors as salient influences of work-faith integration. Implications for workplace spirituality scholarship and management are explored

    Combined expectancies of alcohol and e-cigarette use relate to higher alcohol use

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    Electronic cigarettes (e-cigs) were created to approximate the look, feel, and experience of using a cigarette. Since cigarette and alcohol use co-occur, we hypothesized that e-cig and alcohol use also co-occur, likely due to shared positive drug expectations. Using self-report data from two independent samples of community-dwelling alcohol using adults, the present study: (1) modified the Nicotine and Other Substance Interaction Expectancy Questionnaire (NOSIE) to assess expectancies of combined e-cig and alcohol use (i.e. the individuals perceived likelihood of using e-cigs and alcohol together; NOSIE-ER); and (2) examined the relationships among e-cig use, expectancies, and alcohol use across e-cig use status. In the first sample (N=692, mean age=32.6, SD=9.74, 50.7% female, 82.2% Caucasian), exploratory factor analysis suggested the presence of two factors: (1) alcohol use leads to e-cig use (Scale 1; α=0.85); and (2) e-cig use leads to alcohol use (Scale 2; α=0.91). In the second sample (N=714, mean age=34.1, SD=10.89, 47.8% female, 75.6% Caucasian), confirmatory factor analysis supported this factor structure (χ(2)=47.00, p<0.01, df=19; RMSEA=0.08, 90% CI=0.05-0.11; TLI=0.99; CFI=0.99). Compared to non e-cig users, e-cig users had significantly higher problematic alcohol use in both samples (b's=0.09 to 0.14, p's<.05). Expectancies of combined e-cig and alcohol use were significantly related to problematic alcohol use (b's=-0.92 to 0.26, p's<.05). In sum, e-cig use is related to alcohol use and expectancies of combined e-cig and alcohol use; consequently, reshaping of beliefs about needs or desires to co-use could be a prime point of intervention

    UPPS-P Model Impulsivity and Marijuana Use Behaviors in Adolescents: A Meta-Analysis

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    Background Impulsivity is often included as a risk factor in models of adolescent marijuana use behaviors; however, the magnitude of the association between impulsivity and marijuana use behaviors is variable across studies. The present study reviewed existent literature to 1) quantify the relationship between separable impulsivity-related traits and both marijuana use and negative marijuana consequences and 2) quantify the size of the effect of gender on these relationships. Method Thirty-eight studies (41 independent samples) were meta-analyzed using a random effects model to examine the relationship between impulsivity traits and marijuana use behaviors. Results Marijuana use was significantly related to all impulsivity-related traits except lack of perseverance (r’s ranging from 0.13–0.23, p’s < 0.01). Negative marijuana consequences were only significantly related to sensation seeking, lack of planning, and positive urgency (r’s ranging from 0.37–0.39, p’s < 0.01). Effects were small for marijuana use, but medium for negative marijuana consequences. Gender was not a significant moderator of any relationships. Conclusions Impulsivity-related traits had more robust relationships with negative marijuana consequences than marijuana use, suggesting impulsivity-related traits are important in differentiating adolescents most likely to experience negative consequences from marijuana use. Few relationships examined gender and many of the impulsivity-related traits, other than sensation seeking. Data and trends suggest a more multi-dimensional approach to marijuana use and consequences is warranted

    Beliefs About the Direct Comparison of E-Cigarettes and Cigarettes

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    Background: Recent data suggests that positive beliefs about electronic cigarettes (e-cigs) use can lead to later e-cig use. Considering that many advertisements claim that e-cigs are superior to cigarettes, individuals' likelihood to view e-cigs more favorably than cigarettes can also influence subsequent e-cig use; however, no studies have directly assessed such a comparison. Objectives: The present study created and validated the Comparing E-Cigarettes and Cigarettes questionnaire (CEAC), which asks individuals to directly compare e-cigs and cigarettes on a number of dimensions, in two independent samples. Methods: In sample 1 (451 undergraduates; mean age = 20.35, SD = 5.44, 72.4% female, 73.4% Caucasian) we explored the factor structure of the CEAC and in sample 2 (699 community adults collected via Amazon's Mechanical Turk; mean age = 34.04, SD = 10.9, 47.7% female, 83.3% Caucasian) we replicated the factor structure. Results: Exploratory factor analysis suggested a three-factor structure: General Benefits (α = 0.80), General Effects (α = 0.86), and Health Benefits (α = 0.88), which was replicated via confirmatory factor analysis, χ2 = 4.36; RMSEA = 0.07, 90% CI = 0.06–0.08; TLI = 0.99; CFI = 0.99, and was relatively invariant across product use and gender. Individuals reported viewing e-cigs as safer and more beneficial than cigarettes and these beliefs were higher in e-cig users. Conclusions: Future work should establish how these comparative beliefs are influenced by e-cig use and/or influence subsequent transition to and increases in e-cig use. Although e-cigs are likely less harmful than cigarettes, and thus these comparative beliefs represent that state of nature, e-cigs are not completely without risk

    Transitioning from cigarettes to electronic cigarettes increases alcohol consumption

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    Objective Electronic cigarettes (e-cigs) are a nicotine delivery device that have recently been linked to alcohol use. Many individuals that smoke cigarettes transition to e-cigs as an alternative to cigarette use, despite potential negative health effects of e-cigs. No research to date has examined how former smokers that have transitioned to e-cigs differ from former smokers that do not use e-cigs, particularly in relation to alcohol use. Further, no research has examined how former smokers that use e-cigs regularly or socially may differ in alcohol consumption. Method Using an online community dwelling sample (Former smokers N=198, mean age=34.70, SD=11.45, 56.1% female, 78.3% Caucasian, 37.9% e-cig users), the present study assessed smoking status and alcohol use, with the latter assessed using a Timeline Followback calendar and the Alcohol Use Disorder Identification Test (AUDIT). Results In all former smokers, total drinks (b=4.01, p=0.02) and average drinks per drinking day (b=0.61, p=.01) were both related to e-cig use status, with e-cig users reporting higher alcohol consumption. Among e-cig using former smokers, social users, but not regular users, showed positive relationships with AUDIT scores, b=1.90, p=.02, total drinks, b=9.12, p<.001, average drinks, b=0.98, p=.006, and hazardous drinking status, OR=3.21, p=.01. Conclusions Findings suggest that: (1) former smokers who use e-cigs may have a potential for higher alcohol use; and (2) those who use e-cigs socially may be at heightened risk for hazardous patterns of alcohol consumption. This should be taken into consideration by healthcare providers

    Flow dynamics of Byrd Glacier, East Antarctica

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    This is the published version. Copyright 2014Force-balance calculations on Byrd Glacier, East Antarctica, reveal large spatial variations in the along-flow component of driving stress with corresponding sticky spots that are stationary over time. On the large scale, flow resistance is partitioned between basal (∼80%) and lateral (∼20%) drag. Ice flow is due mostly to basal sliding and concentrated vertical shear in the basal ice layers, indicating the bed is at or close to the pressure-melting temperature. There is a significant component of driving stress in the across-flow direction resulting in nonzero basal drag in that direction. This is an unrealistic result and we propose that there are spatial variations of bed features resulting in small-scale flow disturbances. The grounding line of Byrd Glacier is located in a region where the bed slopes upward. Nevertheless, despite a 10% increase in ice discharge between December 2005 and February 2007, following drainage of two subglacial lakes in the catchment area, the position of the grounding line has not retreated significantly and the glacier has decelerated since then. During the speed-up event, partitioning of flow resistance did not change, suggesting the increase in velocity was caused by a temporary decrease in basal effective pressure
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