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This investigation examined whether trait variables (empathy, global social responsibility) and perceived human responsibility predict and interact to predict people's helping of natural-disaster victims. In Study 1, participants completed a questionnaire and read one of two bogus earthquake reports which portrayed victims as either prepared or unprepared for a foreseeable earthquake. In Study 2, participants completed a questionnaire about the victims of Hurricane Katrina. Across studies, helping was best elicited from high-empathy individuals who attributed responsibility for disasters to human actions (e.g., government), not natural phenomena (e.g., hurricane). Trait variables correlated with helping when assessed individually, but accounted for little unique variance in helping in multiple regression analyses. Judgment of human responsibility predicted helping when participants were familiar with the target disaster (Study 2) but did not predict helping when the disaster was unfamiliar (Study 1). Theoretical implications for researchers and practical implications for aid agencies are discussed. [ABSTRACT FROM AUTHOR]

Objectives: The purpose of this investigation was to examine the relationship between psychosocial variables and working conditions, and nurses' coping methods and distress in response to the severe acute respiratory syndrome (SARS) crisis in Canada. PARTICIPANTS AND PROCEDURE: The sample consisted of 333 nurses (315 women, 18 men) who completed an Internet-mediated questionnaire that was posted on the Registered Nurses' Association of Ontario (RNAO) website between March and May 2004. The questionnaire was restricted to respondents who had to authenticate their RNAO membership with a valid username and password before accessing the questionnaire. This served a dual purpose: to ensure that only RNAO nurses completed the questionnaire and thereby safeguarding the generalizability of the findings; and second, to prevent any one nurse from contributing more than once to the overall sample., Results: Correlational analysis yielded several significant relationships between psychosocial variables and working conditions, and the traditional correlates of burnout and stress. Three multiple regression analysis revealed that the model we evolved--including higher levels of vigor, organizational support, and trust in equipment/infection control initiative; and lower levels of contact with SARS patients, and time spent in quarantine--predicted to lower levels of avoidance behavior, emotional exhaustion, and state anger., Conclusions: By employing models of stress and burnout that combine psychosocial variables and working conditions, researchers can account for significant amounts of variance in outcomes related to burnout. These findings highlight the importance of vigor and perceived organizational support in predicting nurses' symptoms of burnout. For healthcare administrators, this means that a likely strategy for assuaging the negative outcomes of stress should address nurses' psychosocial concerns and the working conditions that they face during novel times of crisis.