An Examination of the Contextual Environment of Families with Sexually Abused Adolescents

This study examined the impact of the contextual environment of the family on post abuse adjustment of sexually abused adolescents. Bronfenbrenner’s ecological theory was used to investigate how the external influences of the family impact the capacity of families to foster the recovery of sexually abused adolescents. The results from this secondary analysis of data from the National Survey of Child and Adolescent Well-Being Wave I (NSCAW, Dowd et al., 2002) support contextually sensitive treatment planning for sexually abused adolescents and their families.

Commentary on "An Examination of the Contextual Environment of Families with Sexually Abused Adolescents"

The focus of this article is on the role of family in adolescent outcomes when sexual abuse has occurred. The authors identify environmental factors for promoting well-being among adolescents. Two hypotheses aim to examine the systemic influence on adolescents who have been sexually abused, with regard to: 1) mesosystemic barriers (i.e., low levels of school engagement and peer relationships), and 2) exosystemic risk factors (i.e., low levels of social support, socioeconomic status, and community safety, as well as large community size).

A discourse-theoretic perspective on the bioethical-legal framework of genetic counseling

The reflexive nature of reason and the unique relationship reason shares with autonomy in Kant's philosophy is the theoretical basis of this dissertation. The principle of respect for autonomy undergirds the two main legal and ethical tenets of genetic counseling, an emerging profession trying to accommodate the sweeping changes that have occurred in clinical genetics, clinical ethics, and case law applicable to medicine. These two tenets of the counseling profession, informed consent and nondirectiveness, both share a principlist interpretation of autonomy that I argue is flawed due to its connection to: instrumental forms of reasoning, empirical theories of action supporting rational choice, and a liberal paradigm of law. I offer an alternative bioethical-legal framework that is based in the Kantian tradition in law and ethics through the complex theories of Jurgen Habermas. Following Habermas's reconstruction of the mutually constituting notions of private and public autonomy, I will argue for a richer conceptualization of autonomy that can have significant implications for the legal and bioethical concepts supporting the profession of genetic counseling, and which can ultimately change counseling practice. ^

Legal regulation of the food industry as a public health measure

Background. The Food and Drug Administration (FDA) is an agency of the federal government that is responsible for monitoring and maintaining public health through the regulation of many industries, including food safety. Through the Nutrition Labeling and Education Act of 1990, the FDA was granted authority over the implementation and regulation of nutrition labeling on packaged foods. Many nutrients are printed on nutrition labels as well as their percent Daily Values. Research has been undertaken to examine the evidentiary basis the FDA relied upon in making its determinations regarding which nutrients to include on nutrition labels as well as their Daily Values. ^ Methods. Relevant legal policies, scientific studies, and other published literature (either in print or electronic form) were used to collect data. ^ Results. Results demonstrated that the FDA did not employ one single method in its determination of which nutrients to select for inclusion on food labels. The agency relied upon current public heath studies of that time as well as recommendations from the U.S. Surgeon General.^

EVALUATION OF THE EFFECTIVENESS OF ANISOTROPIC ANALYTICAL ALGORITHM IN FLATTENED AND FLATTENING-FILTER-FREE BEAMS FOR HIGH ENERGY LUNG DOSE DELIVERY USING THE RADIOLOGICAL PHYSICS CENTER LUNG PHANTOM

The effectiveness of the Anisotropic Analytical Algorithm (AAA) implemented in the Eclipse treatment planning system (TPS) was evaluated using theRadiologicalPhysicsCenteranthropomorphic lung phantom using both flattened and flattening-filter-free high energy beams. Radiation treatment plans were developed following the Radiation Therapy Oncology Group and theRadiologicalPhysicsCenterguidelines for lung treatment using Stereotactic Radiation Body Therapy. The tumor was covered such that at least 95% of Planning Target Volume (PTV) received 100% of the prescribed dose while ensuring that normal tissue constraints were followed as well. Calculated doses were exported from the Eclipse TPS and compared with the experimental data as measured using thermoluminescence detectors (TLD) and radiochromic films that were placed inside the phantom. The results demonstrate that the AAA superposition-convolution algorithm is able to calculate SBRT treatment plans with all clinically used photon beams in the range from 6 MV to 18 MV. The measured dose distribution showed a good agreement with the calculated distribution using clinically acceptable criteria of ±5% dose or 3mm distance to agreement. These results show that in a heterogeneous environment a 3D pencil beam superposition-convolution algorithms with Monte Carlo pre-calculated scatter kernels, such as AAA, are able to reliably calculate dose, accounting for increased lateral scattering due to the loss of electronic equilibrium in low density medium. The data for high energy plans (15 MV and 18 MV) showed very good tumor coverage in contrast to findings by other investigators for less sophisticated dose calculation algorithms, which demonstrated less than expected tumor doses and generally worse tumor coverage for high energy plans compared to 6MV plans. This demonstrates that the modern superposition-convolution AAA algorithm is a significant improvement over previous algorithms and is able to calculate doses accurately for SBRT treatment plans in the highly heterogeneous environment of the thorax for both lower (≤12 MV) and higher (greater than 12 MV) beam energies.