Life Course Changes in Smoking by Gender and Education: A Cohort Comparison Across France and the United States

Widening of educational disparities and a narrowing female advantage in mortality stem in good part from disparities in smoking. The changes in smoking and mortality disparities across cohorts and countries have been explained by an epidemic model of cigarette use but are also related to life course changes. To better describe and understand changing disparities over the life course, we compare age patterns of smoking in three cohorts and two nations (France and the US) using smoking history measures from the 2010 French health barometer (N = 20,940) and the 2010 US National Health Interview Survey Sample Adult File (N = 20,444). The results demonstrate statistically significant widening of gender and educational differences from adolescence to early and middle adulthood, thus accentuating the disparities already emerging during adolescence. In addition, the widening disparities over the life course have been changing across cohorts: age differences in educational disparities have grown in recent cohorts (especially in France), while age differences in gender disparities have narrowed. The findings highlight the multiple sources of inequality in smoking and health in high-income nations.     

The Divide Between “Evidenced‐Based” Approaches and Practitioners of Traditional Theories of Family Therapy

Evidenced‐based approaches continue to grow in the field of family therapy. However, practicing family therapists do not always embrace these approaches. In this article, we explore factors contributing to practitioners' concerns with evidence‐based treatments and suggest a broader, more clinically palatable view of evidenced‐based treatment. We also suggest how family therapy researchers, practitioners, and educators might begin to close the researcher–clinician divide in the best interest of all concerned.     

Young people and caregivers' perceptions of an intervention program for children who deliberately light fires

A significant number of children and adolescents engage in deliberate fire setting, beyond the scope of curiosity and experimentation. Interventions developed to respond to the needs of such fire setters generally involve educational and/or psychosocial approaches. Research evaluating the effectiveness of these interventions is dominated by outcome studies which rely on recidivism rates determined by either official records or parent reports. There has however, been no process evaluation studies published. This study presents a process analysis which aimed to identify the strengths and weaknesses of a Fire Awareness and Intervention Program in New Zealand, from the perspectives of program consumers. Qualitative research methods were employed, with data being derived from in-depth interviews with young people and their parents/caregivers. The analysis indicated that (a) the FAIP was generally regarded as a positive experience, (b) practitioners' qualities of empathy and understanding are important for developing rapport with the young people and their parents, (c) education-based intervention tailored to the young person's age and developmental level is important, (d) educational resources need to be updated and used flexibly to respond appropriately to the age and developmental level of the young person, and (e) inter-agency and intra-agency relationships need to be developed and maintained, with formal arrangements for reciprocal referral systems developed in order to respond to the needs of the clients. The resulting implications for service providers, along with future research are discussed.     

Applications and Implementation

We propose an alternative solution to the discriminant problem, one that requires little more than a minimum familiarity with linear programming. The approach shows promise for eliminating the complexities of conventional statistical approaches without sacrificing the essential power of existing methods.     

EVALUATING ALTERNATIVE LINEAR PROGRAMMING MODELS TO SOLVE THE TWO-GROUP DISCRIMINANT PROBLEM

The two-group discriminant problem has applications in many areas, for example, differentiating between good credit risks and poor ones, between promising new firms and those likely to fail, or between patients with strong prospects for recovery and those highly at risk. To expand our tools for dealing with such problems, we propose a class of nonpara-metric discriminant procedures based on linear programming (LP). Although these procedures have attracted considerable attention recently, only a limited number of computational studies have examined the relative merits of alternative formulations. In this paper we provide a detailed study of three contrasting formulations for the two-group problem. The experimental design provides a variety of test conditions involving both normal and nonnormal populations. Our results establish the LP model which seeks to minimize the sum of deviations beyond the two-group boundary as a promising alternative to more conventional linear discriminant techniques.