This study examined the help-seeking behaviors of depressed, African American adolescents. Qualitative interviews were conducted with 18 urban, African American boys, ages 14 to 18, who were recruited from community-based mental health centers and after-school programs for youths. Interviews covered sociodemographic information, questions regarding depressive symptomotology, and open-ended questions derived from the Network-Episode Model--including knowledge, attitudes and behaviors related to problem recognition, help seeking, and perceptions of mental health services. Most often adolescents discussed their problems with their family and often received divergent messages about problem resolution; absent informal network resolution of their problems, professional help would be sought, and those receiving treatment were more likely to get support from friends but were less likely to tell friends that they were actually receiving care. Implications for social work research and practice are discussed.
The infiltration of river water into aquifers is of high relevance to drinking-water production and is a key driver of biogeochemical processes in the hyporheic and riparian zone, but the distribution and quantification of the infiltrating water are difficult to determine using conventional hydrological methods (e.g., borehole logging and tracer tests). By time-lapse inverting crosshole ERT (electrical resistivity tomography) monitoring data, we imaged groundwater flow patterns driven by river water infiltrating a perialpine gravel aquifer in northeastern Switzerland. This was possible because the electrical resistivity of the infiltrating water changed during rainfall-runoff events. Our time-lapse resistivity models indicated rather complex flow patterns as a result of spatially heterogeneous bank filtration and aquifer heterogeneity. The upper part of the aquifer was most affected by the river infiltrate, and the highest groundwater velocities and possible preferential flow occurred at shallow to intermediate depths. Time series of the reconstructed resistivity models matched groundwater electrical resistivity data recorded on borehole loggers in the upper and middle parts of the aquifer, whereas the resistivity models displayed smaller variations and delayed responses with respect to the logging data in the lower part. This study demonstrated that crosshole ERT monitoring of natural electrical resistivity variations of river infiltrate could be used to image and quantify 3D bank filtration and aquifer dynamics at a high spatial resolution.
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