533 research outputs found

    County-level hurricane exposure and birth rates: application of difference-in-differences analysis for confounding control

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    Abstract Background Epidemiological analyses of aggregated data are often used to evaluate theoretical health effects of natural disasters. Such analyses are susceptible to confounding by unmeasured differences between the exposed and unexposed populations. To demonstrate the difference-in-difference method our population included all recorded Florida live births that reached 20 weeks gestation and conceived after the first hurricane of 2004 or in 2003 (when no hurricanes made landfall). Hurricane exposure was categorized using ≥74 mile per hour hurricane wind speed as well as a 60 km spatial buffer based on weather data from the National Oceanic and Atmospheric Administration. The effect of exposure was quantified as live birth rate differences and 95 % confidence intervals [RD (95 % CI)]. To illustrate sensitivity of the results, the difference-in-differences estimates were compared to general linear models adjusted for census-level covariates. This analysis demonstrates difference-in-differences as a method to control for time-invariant confounders investigating hurricane exposure on live birth rates. Results Difference-in-differences analysis yielded consistently null associations across exposure metrics and hurricanes for the post hurricane rate difference between exposed and unexposed areas (e.g., Hurricane Ivan for 60 km spatial buffer [−0.02 births/1000 individuals (−0.51, 0.47)]. In contrast, general linear models suggested a positive association between hurricane exposure and birth rate [Hurricane Ivan for 60 km spatial buffer (2.80 births/1000 individuals (1.94, 3.67)] but not all models. Conclusions Ecological studies of associations between environmental exposures and health are susceptible to confounding due to unmeasured population attributes. Here we demonstrate an accessible method of control for time-invariant confounders for future research

    Understanding Face and Shame: A Servant-Leadership and Face Management Model

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    Clergy can have a negative impact on churches and other individuals when they knowingly or unknowingly attempt to save face, that is, try to protect their standing or reputation. The desire to gain face and the fear of losing face and feeling ashamed will likely permeate clergy’s decision-making processes without even being noticed. This study explores the essence of face and face management and the relationship between face management and two characteristics of servant-leadership—awareness and healing—in both Chinese and American churches through the methodology of hermeneutic phenomenology. Prior to this study, to my knowledge, no hermeneutic phenomenological research of face management has been conducted in a church setting. Through a review of the literature, four areas are explored: face and shame, face management, servant-leadership, and face, shame, and face management within the church. This study obtained approval from the Institutional Review Board and informed consent from the participants. Three Chinese and three American Christian ministers were chosen to complete a question sheet and participate in two semi-structured interview sessions. A first cycle of open coding and second cycle of pattern coding were used during data analysis. Face experiences are discussed in light of eight major themes: body, triggers, becoming, face concepts, strategies, emotions, servant-leadership, and the church. Findings from the study help build a servant-leadership and face management model, which can offer an anchored approach for clergy and pastoral counselors to address face and shame and to develop therapeutic interventions

    Broad and narrow personality traits as markers of one-time and repeated suicide attempts: A population-based study

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    <p>Abstract</p> <p>Background</p> <p>Studying personality traits with the potential to differentiate between individuals engaging in suicide attempts of different degrees of severity could help us to understand the processes underlying the link of personality and nonfatal suicidal behaviours and to identify at-risk groups. One approach may be to examine whether narrow, i.e., lower-order personality traits may be more useful than their underlying, broad personality trait dimensions.</p> <p>Methods</p> <p>We investigated qualitative and quantitative differences in broad and narrow personality traits between one-time and repeated suicide attempters in a longitudinal, population-based sample of young French Canadian adults using two multivariate regression models.</p> <p>Results</p> <p>One broad (Compulsivity: OR = 2.0; 95% CI 1.2–3.5) and one narrow personality trait (anxiousness: OR = 1.1; 95% CI 1.01–1.1) differentiated between individuals with histories of repeated and one-time suicide attempts. Affective instability [(OR = 1.1; 95% CI 1.04–1.1)] and anxiousness [(OR = .92; 95% CI .88–.95)], on the other hand, differentiated between nonattempters and one-time suicide attempters.</p> <p>Conclusion</p> <p>Emotional and cognitive dysregulation and associated behavioural manifestations may be associated with suicide attempts of different severity. While findings associated with narrow traits may be easier to interpret and link to existing sociobiological theories, larger effect sizes associated with broad traits such as Compulsivity may be better suited to objectives with a more clinical focus.</p

    Collective narcissism: Political consequences of investment of self-worth into an ingroup’s image.

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    This article proposes a new theoretical framework for the reviewed state-of-the-art research on collective narcissism–the belief that the ingroup’s exceptionality is not sufficiently appreciated by others. Collective narcissism is interpreted as the investment of an undermined sense of self-esteem into the belief in the ingroup’s entitlement to privilege. Collective narcissism lies in the hard of populist rhetoric. The belief in ingroup’s exceptionality compensates for a lack of self-worth, leaving collective narcissists hyper-vigilant to signs of threat to the ingroup’s position. People endorsing the collective narcissistic belief are prone to biased perceptions of intergroup situations and to conspiratorial thinking. They retaliate to imagined provocations against the ingroup but sometimes overlook real threats. They are prejudiced and hostile. Deficits in emotional regulation, hostile attribution bias and vindictiveness lie behind the robust link between collective narcissism and intergroup hostility. Interventions that support the regulation of negative emotions, such as experiencing self-transcendent emotions, decrease the link between collective narcissism and intergroup hostility and offer further insights into the nature of collective narcissism

    Perfectionism and the five-factor model of personality: A meta-analytic review

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    Over 25 years of research suggests an important link between perfectionism and personality traits included in the five-factor model (FFM). However, inconsistent findings, underpowered studies, and a plethora of perfectionism scales have obscured understanding of how perfectionism fits within the FFM. We addressed these limitations by conducting the first meta-analytic review of the relationships between perfectionism and FFM traits (k = 77, N = 24,789). Meta-analysis with random effects revealed perfectionistic concerns (socially prescribed perfectionism, concern over mistakes, doubts about actions, discrepancy) were characterized by neuroticism (rc+ = .50), low agreeableness (rc+ = –.26), and low extraversion (rc+ = –.24); perfectionistic strivings (self-oriented perfectionism, personal standards, high standards) were characterized by conscientiousness (rc+ = .44). Several perfectionism-FFM relationships were moderated by gender, age, and the perfectionism subscale used. Findings complement theory suggesting perfectionism has neurotic and non-neurotic dimensions. Results also underscore that the (mal)adaptiveness of perfectionistic strivings hinges on instrumentation

    Psychology and aggression

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68264/2/10.1177_002200275900300301.pd
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