Altruistic behavior and habit formation

This article examines whether altruistic behavior is habit forming. The basic premise is that if engaging in altruistic behavior when young is a good predictor of such behavior in adulthood, then this is consistent with the notion that altruistic behavior is habit forming. Using U.S. data, we examine donations of both money and time and find that engaging in charitable behavior when young is a strong predictor of adult altruistic behavior, with all other things equal. A major issue in the interpretation of this result is that the correlation between youthful and adult altruistic behavior may be due to some third variable that affects both. Although it is impossible to rule out such a possibility, we are able to control for family influences that likely could affect lifetime attitudes toward altruism.     

Women's financial planning for retirement: the impact of disruptive life events

Providing care for an aged parent has immediate financial, emotional, psychological, and physical consequences for the primary caregiver. This pilot study of 138 middle aged and older females analyzes the long term financial consequences of providing care to aged relatives for female caregivers. The impact of this disruptive life event (e.g., caring for an aged relative) on retirement planning among middle aged and older adult women was analyzed using quantitative data collected from women residing in the Midwest region of the United States.     

Point of engagement: reducing disproportionality and improving child and family outcomes

This paper describes an innovative service delivery model to reduce the number of children entering the child welfare system. Point of Engagement (POE) is a collaborative family- and community-centered approach initiated in Compton, a regional office in Los Angeles County that serves south Los Angeles, a predominantly African American and Hispanic/Latino area. Over the past two years, the POE has been implemented in the Compton area by providing more thorough investigations, engaging families, and delivering needed services to children and families within their homes and communities. POE has demonstrated a reduction in the number of children removed from their families, an increase in the number of children returned to their families within one year, and an increase in the number of children finding legal permanency.     

Factors associated with exercise participation in adults with arthritis

Most people with arthritis are not regularly active. Understanding what factors influence exercise is essential for designing programs to increase participation. The objective of this study was to examine the correlates of exercise in people with arthritis. Using a cross-sectional design, sociodemographic, health-related, and psychosocial variables were collected from community-dwelling individuals with arthritis (N = 141). Associations with exercise level were examined with bivariate statistics (ANOVAs, chi-squares) and logistic-regression analyses. Exercisers were less likely than nonexercisers and insufficiently active people to report that arthritis negatively affected their physical and social functioning, and they reported more positive affect and greater self-efficacy (p < .05). Exercisers also reported less pain than nonexercisers (p < .05). In multiple logistic-regression analyses, self-efficacy and physical limitations remained independent predictors of exercise. The results suggest the need to target exercise self-efficacy when designing exercise interventions. Results also suggest the need to tailor exercise programs to individuals' physical limitations.     

Families formed as a result of donor insemination: the views of semen donors

This paper reports the views and feelings of semen donors at two London donor insemination (Dl) programmes regarding the recipients of Dl and the families created by this method. In particular it reports on: the types of recipients that donors wish to assist; their understanding of the legal position of donors and Di fathers; their views on the'matching' of donors and Dl fathers; their perception of Dl offspring's need or desire for information about the donor; their views on whether parents should tell their offspring about their Dl conception and regarding the secrecy surrounding Dl in general; and what they believe the community thinks about Dl. Overall, the donors perceive Dl families as being normal, and are very supportive of the autonomy and privacy of these families, but they also have concerns about the needs of the offspring. The authors draw attention to the need to take into account the views of donors in forming assisted reproduction policies, and also the need for the interests of the child to be paramount, as they are in the case of adoption.     

On inference from inconsistent premisses

The main object of this paper is to provide the logical machinery needed for a viable basis for talking of the consequences, the content, or of equivalences between inconsistent sets of premisses.With reference to its maximal consistent subsets (m.c.s.), two kinds of consequences of a propositional set S are defined. A proposition P is a weak consequence (W-consequence) of S if it is a logical consequence of at least one m.c.s. of S, and P is an inevitable consequence (I-consequence) of S if it is a logical consequence of all the m.c.s. of S. The set of W-consequences of a set S it determines (up to logical equivalence) its m.c.s. (This enables us to define a normal form for every set such that any two sets having the same W-consequences have the same normal form.) The W-consequences and I-consequences will not do to define the content of a set S. The first is too broad, may include propositions mutually inconsistent, the second is too narrow. A via media between these concepts is accordingly defined: P is a P-consequence of S, where P is some preference criterion yielding some of the m.c.s. of S as preferred to others, and P is a consequence of all of the P-preferred m.c.s. of S. The bulk of the paper is devoted to discussion of various preference criteria, and also surveys the application of this machinery in diverse contexts - for example, in connection with the processing of mutually inconsistent reports.     

Large-scale Bayesian spatial modelling of air pollution for policy support

The potential effects of air pollution are a major concern both in terms of the environment and in relation to human health. In order to support environmental policy, there is a need for accurate measurements of the concentrations of pollutants at high geographical resolution over large regions. However, within such regions, there are likely to be areas where the monitoring information will be sparse and so methods are required to accurately predict concentrations. Set within a Bayesian framework, models are developed which exploit the relationships between pollution and geographical covariate information, such as land use, climate and transport variables together with spatial structure. Candidate models are compared based on their ability to predict a set of validation sites. The chosen model is used to perform large-scale prediction of nitrogen dioxide at a 1×1 km resolution for the entire EU. The models allow probabilistic statements to be made with regard to the levels of air pollution that might be experienced in each area. When combined with population data, such information can be invaluable in informing policy by indicating areas for which improvements may be given priority.