Andisp: A Turbo pascal program to analyze and display sampled data

ANDISP is a Turbo Pascal program that analyzes, displays, and manipulates sampled data recorded with a PC-compatible data-acquisition system The data analysis routines include “integrate/differentiate a channel”, “rectify,” “smooth,” “filter,” and “add/sub/mult/div a channel by a constant, ” as well as a routine that gives some basic statistics. The data manipulation routines are “copy a channel” or “copy the data buffer to a file.” The versatile display routine can give either oscilloscope-type displays of a data channel or plots of pubUshable quality. Hardware requirements are an IBM-compatible microcomputer and an EGA color monitor.     

Stage of change as a predictor of success in weight control in adult women.

Weight change over 3 years was examined in a large and heterogeneous sample of women as a function of stage of change for weight control. Women were classified into Precontemplation, Contemplation, Preparation, and Action stages on the basis of reports of current and past weight control behaviors and future intentions. Stage of change did not predict success in weight control. Mean weight changes over 3 years were 1.1 kg, 1.0 kg, 2.1 kg, and 2.3 kg for Precontemplation, Contemplation, Preparation, and Action stages, respectively. The findings call into question the generality of the stages-of-change classification system across behavioral domains.     

Beyond gains and losses: the effect of need on risky choice in framed decisions

Substantial evidence suggests people are risk-averse when making decisions described in terms of gains and risk-prone when making decisions described in terms of losses, a phenomenon known as the framing effect. Little research, however, has examined whether framing effects are a product of normative risk-sensitive cognitive processes. In 5 experiments, it is demonstrated that framing effects in the Asian disease problem can be explained by risk-sensitivity theory, which predicts that decision makers adjust risk acceptance on the basis of minimal acceptable thresholds, or need. Both explicit and self-determined need requirements eliminated framing effects and affected risk acceptance consistent with risk-sensitivity theory. Furthermore, negative language choice in loss frames conferred the perception of high need and led to the construction of higher minimal acceptable thresholds. The results of this study suggest that risk-sensitivity theory provides a normative rationale for framing effects based on sensitivity to minimal acceptable thresholds, or needs.     

An ethically justified framework for clinical investigation to benefit pregnant and fetal patients

Research to improve the health of pregnant and fetal patients presents ethical challenges to clinical investigators, institutional review boards, funding agencies, and data safety and monitoring boards. The Common Rule sets out requirements that such research must satisfy but no ethical framework to guide their application. We provide such an ethical framework, based on the ethical concept of the fetus as a patient. We offer criteria for innovation and for Phase I and II and then for Phase III clinical trials to improve the health of pregnant patients and of fetal patients and also criteria to responsibly manage the transition from investigation to clinical practice. Basing ethical criteria for research involving pregnant women on the ethical concept of the fetus as a patient insulates the proposed ethical framework and therefore research on pregnant women from the divisive and politicized concepts and discourses of personhood, fetal rights, and unborn child.     

Can genetic risk information enhance motivation for smoking cessation? An analogue study.

Protection motivation theory and the extended parallel processing model are used to predict the motivational impact of information regarding a genetic susceptibility to heart disease. One hundred ninety-eight smokers read 1 of 3 vignettes: gene positive, gene negative, or standard smoking risk information. Analyses examined whether the impact of type of risk information was moderated by smokers' self-efficacy (SE) levels. Key outcomes were intention to quit and intention to attend an information session about quitting. There were significant main effects of SE and of receiving gene-positive risk information on intentions to quit. There was a significant Risk x SE interaction on intentions to attend an information session. SE was not associated with intentions to attend the information session for smokers in the gene-positive group. Intentions to attend the session were negatively associated with SE for smokers in the lower risk groups. Implications for using genetic risk information to motivate smoking cessation are discussed.