Pregnancy,work and women's well-being: A review

Abstract

Pregnancy is potentially a stressful period for working women for ergonomic, psychological and organizational reasons, yet the well-being of women is seldom the focus of research on working during pregnancy. This paper reviews the literature on women's experience of being pregnant at work. It concludes that, while working conditions are usually not well suited to pregnant women, the majority of women encounter only minor difficulties and regard working in a positive way. However, for a minority of women working during pregnancy adversely affects their well-being. These are likely to be women working during pregnancy adversely affects their well-being. These are likely to be women who are most at risk from work-related stress at other times. The literature suggests that working during pregnancy has still to be accepted and accommodated by employers and colleagues.     

Balancing parents' and very young children's rights in care proceedings: decision-making in the context of the Human Rights Act 1998

This paper explores whether the Human Rights Act 1998 has influenced the approach a range of professionals, including social workers, managers and children's guardians adopt when they examine and seek to balance the potentially competing rights of parents and children involved in care proceedings. Drawing on findings from an empirical study of the decision‐making process that influences the life pathways of very young children in care, it also explores some of the dilemmas professionals face in their day‐to‐day practice and examines whether parental rights are prioritized over children's rights in certain instances.     

Model Averaging in Microbial Risk Assessment Using Fractional Polynomials

The alleviation of food-borne diseases caused by microbial pathogen remains a great concern in order to ensure the well-being of the general public. The relation between the ingested dose of organisms and the associated infection risk can be studied using dose-response models. Traditionally, a model selected according to a goodness-of-fit criterion has been used for making inferences. In this article, we propose a modified set of fractional polynomials as competitive dose-response models in risk assessment. The article not only shows instances where it is not obvious to single out one best model but also illustrates that model averaging can best circumvent this dilemma. The set of candidate models is chosen based on biological plausibility and rationale and the risk at a dose common to all these models estimated using the selected models and by averaging over all models using Akaike's weights. In addition to including parameter estimation inaccuracy, like in the case of a single selected model, model averaging accounts for the uncertainty arising from other competitive models. This leads to a better and more honest estimation of standard errors and construction of confidence intervals for risk estimates. The approach is illustrated for risk estimation at low dose levels based on Salmonella typhi and Campylobacter jejuni data sets in humans. Simulation studies indicate that model averaging has reduced bias, better precision, and also attains coverage probabilities that are closer to the 95% nominal level compared to best-fitting models according to Akaike information criterion.     

Performance targets and stability of placements for children long looked after away from home

There are concerns that the performance indicators for children's services may not be adequately interpreted and used to improve service delivery for individual children. Data from a longitudinal study of 249 looked after children demonstrate that one target—improving the stability of placements—is more likely to be met if agencies can identify which children move frequently and why. While age, behavioural difficulties and the absence of mental health support may have contributed to placement breakdowns, the majority of moves were planned transitions from one temporary placement to another, suggesting that the system may ignore the needs of those children who cannot swiftly return home. Copyright © 2001 John Wiley & Sons, Ltd.     

Measuring immigrant wage growth using matched CPS files

Cross-sectional estimates of immigrant wage growth have painted an optimistic picture of the ability of immigrants to adapt to the U.S. labor market: Studies using cross-sectional data have generally found the wage growth of immigrants to exceed that of the native born. This optimistic picture of immigrant economic assimilation was challenged by the important finding that compared to earlier immigrant cohorts, recent immigrants started at much lower wages. As such, the high wage growth of immigrants relative to the native born measured in cross-sectional data may simply be the spurious result of declining immigrant earnings ability. In this paper, we match Current Population Survey samples so that the wages of individual immigrant and native-born men can be followed for one year. We find that the wage growth of immigrants does exceed that of the native born. The general finding of faster immigrant wage growth also holds when imposing the foreign-born geographic distribution upon natives, but not when imposing the native-born geographic distribution on the foreign born—a result consistent with some theories of immigrant assimilation. In each comparison, however, the actual wage growth of immigrants relative to natives is similar to the predictions of cross-sectional regressions. This similarity suggests that either there is no cohort quality bias in the cross-sectional estimates of immigrant wage growth, or that there has been a coincidental increase in immigrant wage growth as the entry wages of immigrants have fallen.     

Book reviews

Qualitative Sociology -     

Couples Who Live Apart: Time/Place Disjunctions And Their Consequences*

Couples who live apart present a unique opportunity to study the consequences of tampering with our culture's marital co-residence norm. Interviews with 37 spouses, representing members of 21 couples who are legally married and who live apart in service to career demands of both, suggest that time and place discontinuities result from two residence living. Two residences mean that spouses are not able to mesh and coordinate time schedules, nor do they share the common base of their co-resident counterparts. The time/place disjunctions that result threaten these marriages' ability to “make sense” to the partners of such unions. This paper examines the sense-jeopardizing consequence of living apart and suggest that this marital form's inherent strains make it a difficult lifestyle.     

Job characteristics of spouses and their work shifts

This study builds on an earlier finding from the May 1980 Current Population Survey that one-third of full-time dual-earner couples with children in the United States include at least one spouse who works other than a regular day shift. Using the same data source, the relevance of husbands’ and wives’ job characteristics (occupation and industry) on their shift work status are considered, and the nature of the association between husbands’ and wives’ work shifts is explored. Four alternative models are initially posed and tested with log-linear analysis; these models vary in the extent to which a spouse’s shift work status is contingent upon the job characteristics of a husband or wife. None of these models fit the data. A modification of the simplest of the four models (using forward selection) is the best fitting model. It is not symmetrical: the wife’s shift is contingent upon both her occupation and industry and that of her husband, but the husband’s shift is contingent only upon his occupation and industry. There is a relationship between husband’s and wife’s shift, the direction of which depends upon the occupations of both spouses. This study demonstrates the importance of taking a “couple” perspective on shift work among married persons, and the need for models that include interaction effects.