Religiosity, spirituality, and psychological distress in African-Americans at risk for having a hereditary cancer predisposing gene mutation.

Elevated psychological distress has been observed among people at increased risk for familial cancer. Researchers consider religiosity and spirituality (RS) to be positive coping mechanisms associated with reduced psychological distress. Relatively little is known about the impact of RS on genomic health issues. The objectives of our study were: (1) describe the prevalence of RS and depressive symptoms and (2) explore how RS relates to psychological distress in a cohort of individuals with a > or =25% prior probability of a genetic predisposition to cancer. Participants (n = 99) were drawn from an African-American, Louisiana-based kindred with a mutation at the BRCA1 locus. This analysis reports findings from a survey assessing RS and the use of three types of religious coping styles: collaborative, self-directing, and deferring. Clinically significant depressive symptoms were relatively high (27%); with females (33%) more likely than males (17%) to report symptoms (P < 0.01). The majority of participants reported being highly religious. The most commonly employed religious problem solving style used by participants was collaborative (X=22.9; SD=5.8) versus self-directing (X=12.8; SD = 5.1) and deferring (X=19.9; SD = 6.3). We did not observe significant associations between RS indicators and psychological distress, nor did we observe appreciable differences related to gender or risk perception. Although RS beliefs and practices are important for many African-Americans, we did not find evidence that indicators of self-reported RS are associated with psychological distress prior to genetic counseling and testing.

The art and science of weed mapping.

Land managers need cost-effective and informative tools for non-native plant species management. Many local, state, and federal agencies adopted mapping systems designed to collect comparable data for the early detection and monitoring of non-native species. We compared mapping information to statistically rigorous, plot-based methods to better understand the benefits and compatibility of the two techniques. Mapping non-native species locations provided a species list, associated species distributions, and infested area for subjectively selected survey sites. The value of this information may be compromised by crude estimates of cover and incomplete or biased estimations of species distributions. Incorporating plot-based assessments guided by a stratified-random sample design provided a less biased description of non-native species distributions and increased the comparability of data over time and across regions for the inventory, monitoring, and management of non-native and native plant species.