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Objective: To examine the social determinants of inequalities in health in Bosnia and Herzegovina in the post-conflict period, and to test if the relative effects vary across the two entities of the Federation of Bosnia and Herzegovina and the Republika Srpska., Study Design: Cross-sectional data come from the first wave of the Bosnia and Herzegovina Household Panel Study conducted in 2001, which collected data from 7482 respondents aged 17 years and older based on over 3000 households., Methods: Distributions and odds ratios for physical limitations and poor mental well-being were calculated over a number of known social determinants. Multivariate logistic regression and t-tests were used to compare risks across entities within the state of Bosnia and Herzegovina., Results: The prevalence of poor mental well-being and physical limitations was significantly higher in the Republika Srpska. Significant differences in poor mental well-being and physical limitations were observed across most determinants within each entity, but only a few of these relative effects differed between entities., Conclusions: Efforts to tackle absolute differences in poor health between the entities within Bosnia and Herzegovina should be pursued, along with reducing social inequalities.

Objectives: To examine the extent of socio-economic inequalities in health in the London Borough of Newham and to compare them with those in the UK as a whole., Study Design: Cross-sectional, individual-level observational study with data on socio-economic and health measures from wave one of the Newham Household Panel Survey (n=1723) and wave 11 of the British Household Panel Survey (n=8444)., Methods: Age-standardized comparison of the social distribution, by household social class, education, housing conditions and neighbourhood problems, of six indicators of health and service utilization. Relative index of inequality is used to compare magnitude of inequality across the samples., Results: Age-standardized prevalence ratios for most health and service use indicators indicated that Newham has poorer health and higher utilization compared with the UK as a whole. Significant health inequalities were associated with socio-economic measures in both Newham and Britain, but few significant differences in the relative effects between the two., Conclusions: Although Newham has higher prevalence of poor health and high service use, the relative effects of socio-economic inequalities are similar to those in Britain as a whole.

There has been little research as to the development of self-rated health among adolescents. In this paper, we present a replication of a model of student self-rated health initially proposed by Vingilis, Wade and Adlaf (1998) using data from 1993 Ontario Student Drug Use Survey (n=840). The data for this replication come from the first wave of the US National Longitudinal Study of Adolescent Health (public release data, n=5673). The original model is tested by a series of nested regression equations and path analysis. The results add support for the original model and are notable given that many items used to build the underlying constructs differ across the two datasets., (Copyright 2000 The Association for Professionals in Services for Adolescents.)

This study identifies a high-risk subpopulation of children with a markedly antisocial behavioural profile in a national sample of Canadian children. We examine a broad array of environmental and child factors that may be associated with this high-risk group. The data are for 18,135 two to eleven year olds in the National Longitudinal Survey of Children and Youth. A cluster analysis was performed to identify children possessing extreme antisocial behaviour across five dimensions: aggression, hyperactivity, prosocial behaviour, emotional difficulties and misconduct. Clusters were compared across structural, family, school, neighbourhood, and health covariates. Membership in this severe cluster is associated with material disadvantage across the range of environmental factors as well as significant deficits in child health and education.