9 research outputs found
Uso de serviços de saúde segundo posição socioeconômica em trabalhadores de uma universidade pública
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Competition Breeds Desire
Desire spurs competition; here we explore whether the converse is also true. In one study, female quartets (N = 58) completed anagrams, with the winner to receive compact speakers; controls anagrammed without competition. In the other study, female quartets (N = 74) described their ideal first date to a male judge, who chose the best description; controls read to him others' date descriptions without competition. In both studies, creating competition increased desire and altered how much participants wanted, but not how much they liked, the competed-for thing. Competition may activate a general “wanting system,” producing overvaluing in settings from stock markets to partner selection
Recommended from our members
Competition Breeds Desire
Desire spurs competition; here we explore whether the converse is also true. In one study, female quartets (N = 58) completed anagrams, with the winner to receive compact speakers; controls anagrammed without competition. In the other study, female quartets (N = 74) described their ideal first date to a male judge, who chose the best description; controls read to him others' date descriptions without competition. In both studies, creating competition increased desire and altered how much participants wanted, but not how much they liked, the competed-for thing. Competition may activate a general “wanting system,” producing overvaluing in settings from stock markets to partner selection
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Seeing the other side: Perspective taking and the moderation of extremity
Recognizing the reasonableness of others' positions is important for conflict reduction, but is notoriously hard. We tested a perspective-taking approach to decreasing attitude entrenchment. Participants were held accountable in a task in which they wrote about a controversial issue from the perspective of a partner with an opposing viewpoint. This approach was effective at changing views on controversial issues-in Study 1 on weight discrimination, an issue participants were unlikely to have thought much about, and in Study 2 on abortion, where beliefs tend to be more deeply held. Studies 3 and 4 showed this change only took place under conditions where participants met the individual with an opposing view in person, and where that individual would see the perspective-taking effort. These results suggest that it is possible to reduce attitude entrenchment by encouraging people to think about the opposing perspective of another, as long as there is real contact and accountability
Multi-pollutant Modeling Through Examination of Susceptible Subpopulations Using Profile Regression.
PURPOSE OF REVIEW: The inter-correlated nature of exposure-based risk factors in environmental health studies makes it a challenge to determine their combined effect on health outcomes. As such, there has been much research of late regarding the development and utilization of methods in the field of multi-pollutant modeling. However, much of this work has focused on issues related to variable selection in a regression context, with the goal of identifying which exposures are the "bad actors" most responsible for affecting the health outcome of interest. However, the question addressed by these approaches does not necessarily represent the only or most important questions of interest in a multi-pollutant modeling context, where researchers may be interested in health effects from co-exposure patterns and in identifying subpopulations associated with patterns defined by different levels of constituent exposures. RECENT FINDINGS: One approach to analyzing multi-pollutant data is to use a method known as Bayesian profile regression, which aids in identifying susceptible subpopulations associated with exposure mixtures defined by different levels of each exposure. Identification of exposure-level patterns that correspond to a location may provide a starting point for policy-based exposure reduction. Also, in a spatial context, identification of locations with the most health-relevant exposure-mixture profiles might provide further policy relevant information. In this brief report, we review and describe an approach that can be used to identify exposures in subpopulations or locations known as Bayesian profile regression. An example is provided in which we examine associations between air pollutants, an indicator of healthy food retailer availability, and indicators of poverty in Los Angeles County. A general tread suggesting that vulnerable individuals are more highly exposed and have limited access to healthy food retailers is observed, though the associations are complex and non-linear