Roles and Role Conflict of Women in Infertile Couples

This study explored the experience of role conflict for women in infertile couples. The infertile group consisted of 29 women who, with their husbands, were beginning an infertility program; comparison group subjects were 29 married women with no history of inability to conceive. Each subject completed self-report instruments measuring role conceptions and expectations, the experience of role conflict, and occupational commitment. Each husband also reported his role expectations for his ideal woman. Also, a semi-structured interview was conducted with each infertile subject. Compared to the control group, the infertile group's role conceptions were more traditional; they reported less role conflict of various kinds, and they showed greater occupational commitment. They did not differ significantly on degree of wife-husband role discrepancy, or on mother's occupational commitment. These findings lead to an understanding of infertility as part of an interactional system for dealing with potentially intolerable sources of role conflict.     

Work involvement among college-educated women: A methodological extension

This paper has two objectives: (1) to develop a more complex measure of work involvement than that typically used, and (2) to correlate this measure with selected lifestyle/family and work variables. The data were drawn primarily from a 1981 survey of 110 female graduates of a large Midwestern university who completed their undergraduate degrees in 1967. Respondents were categorized as high, moderate, or low on a work involvement index based on four variables: work continuity, work status, current or most recent occupation, and educational achievement. Findings in the area of lifestyle/family suggest that high work-involved women are more likely to be single and to marry later when they do marry, less likely to have children, and less likely to perceive conflicts between marriage/relationships and/or children and a career. Findings in the area of work suggest that high work-involved women are significantly more likely to work in male-dominated occupations and to earn salaries of $20,000 or more. High work-involved women are also significantly more likely to be supervisors, to report that most of the people in their work group or branch are below them in rank/position, to be working with all or predominantly men, to have men above them in rank, and to have experienced sex discrimination on the job. In the area of job satisfaction, the differences by work involvement are not as pronounced. High work-involved women are significantly more likely to be employed and not job hunting — one measure of job satisfaction. However, they are no more or less likely than moderate or low work-involved women to perceive their job as a compromise with what they expected or to report overall job satisfaction. Some directions for future research are discussed.Environmental Strategies, Inc.Preparation of this report was supported, in part, by the Providence College Fund to Aid Faculty Research. Thanks are due to the staff of The Henry A. Murray Research Center of Radcliffe College for access to the 1970 questionnaires, to Sharon R. Jenkins for data processing consultation, and to the anonymous reviewers for their helpful suggestions.     

Sources of stress and coping responses of high school students.

A series of focus group interviews was used to identify major sources of stress and coping responses of Grade 10 students. Relationships with parents and family, work, and lack of money were found to be important sources of stress. Major coping responses included substance use and diversionary activities. Differences between academic streams (tracks) in sources of stress and coping responses were examined.     

Conditioned taste aversions support drug discrimination learning at low dosages of morphine.

The present experiment shows that a conditioned taste aversion procedure can support discrimination learning at dosages of morphine comparable to those required to produce motivational effects. Sprague-Dawley rats were injected with 4.0 mg/kg morphine sulfate prior to a saccharin-lithium chloride pairing, and physiological saline prior to a saccharin-saline pairing. The rats avoided the saccharin solution following the administration of morphine and consumed significantly more saccharin following saline administration after four discrimination cycles. After this initial discrimination the subjects were trained with progressively lower doses of morphine. Discrimination learning was apparent at doses of 2.0, 1.5, 1.0, 0.75 and 0.5 mg/kg. Animals initially trained with 1.0 mg/kg morphine also learned the discrimination but required 10 training cycles. After this initial discrimination the subjects were trained with progressively lower dosages of morphine and showed a discrimination at a dosage of 0.5 mg/kg.     

Gender and temporal differences in identifying sources of stress

Much of the methodology in stress research focuses on stress manifestation and organismic reactions to life’s crises. In contrast, the present study sought to identify the major sources of stress and the nature of those sources. The results revealed a consistent pattern in high and low stressors throughout the 3-year period of the study, and differences only of intensity between males and females, not type of stress. Except for individuals’ temporal variations in critical events, the highest stressors for the groups were external, primarily financial and time management. Internal sources, such as personal relationships and self-absorption, were typically the lowest concerns. Everyday problems arising from current life styles seem to be significant sources of stress.     

Low-dimensional chaos maps learning in a model neuropil (olfactory bulb).

Quantification of a chaotic system can be made by calculating the correlation dimension (D2) of the data that the system generates (Packard et al., 1980). The D2 algorithm, however, requires stationarity of the generator, a feature that biological data rarely reflect (Mayer-Kress et al., 1988). So we developed the "point correlation dimension" (PD2), an algorithm that accurately tracks D2 in linked data of different dimensions (Carpeggiani et al., 1991). We now present a mathematical argument that, for stationary data, individual PD2s converge to D2 and we demonstrate that the algorithm rejects contributions made by bursts of noise. Data were obtained from the surface of the olfactory bulb of the conscious rabbit (64 electrodes, 640 Hz each, 1.3 sec epochs) before and after presentation of a novel or habituated odor. D2 could be calculated in only 1 of 10 novel-odor trials, whereas PD2 could be calculated in all. Both algorithms indicated that a novel odor evokes a spatially uniform dimensional increase. The PD2 uniquely exhibited the dimensional decreases that occur during inspiration and the gradients of mean dimension present during the nonstimulated control state. These control gradients remained unchanged without odor experience, but showed spatially specific PD2 increases following odor habituation. It is interpreted that, 1) the PD2 is sensitive, accurate, and appropriate for dimensional assessment of biological data, 2) that during analysis of unfamiliar information a single global process is transiently evoked in the neuropil, and 3) after experience multiple spatially specific processes tonically map the sites of learning.     

Application of chaos theory to biology and medicine

The application of “chaos theory” to the physical and chemical sciences has resolved some long-standing problems, such as how to calculate a turbulent event in fluid dynamics or how to quantify the pathway of a molecule during Brownian motion. Biology and medicine also have unresolved problems, such as how to predict the occurrence of lethal arrhythmias or epileptic seizures. The quantification of a chaotic system, such as the nervous system, can occur by calculating the correlation dimension (D2) of a sample of the data that the system generates. For biological systems, the point correlation dimension (PD2) has an advantage in that it does not presume stationarity of the data, as the D2 algorithm must, and thus can track the transient non-stationarities that occur when the systems changes state. Such non-stationarities arise during normal functioning (e.g., during an event-related potential) or in pathology (e.g., in epilepsy or cardiac arrhythmogenesis). When stochastic analyses, such as the standard deviation or power spectrum, are performed on the same data they often have a reduced sensitivity and specifity compared to the dimensional measures. For example, a reduced standard deviation of heartbeat intervals can predict increased mortality in a group of cardiac subjects, each of which has a reduced standard deviation, but it cannot specify which individuals will or will not manifest lethal arrhythmogenesis; in contrast, the PD2 of the very same data can specify which patients will manifest sudden death. The explanation for the greater sensitivity and specificity of the dimensional measures is that they aredeterministic, and thus are moreaccurate in quantifying the time-series. This accuracy appears to be significant in detecting pathology in biological systems, and thus the use of deterministic measures may lead to breakthroughs in the diagnosis and treatment of some medical disorders.