Using demographic risk factors to explain variations in the incidence of violence against women

This article offers statistical support for the contention that demographic risk factors influence the incidence of some women's experiencing violence more than others. Our results were generated using a binary probit model and 6,332 observations from the 1996 Australian Women's Safety Survey. For purposes of comparison, we identified a set of benchmark demographic characteristics as those occurring most frequently in the data set and estimated that if a woman were to have all of these characteristics, the probability she would have experienced violence in the past 12 months was 6.7%. We found that the risk varied with levels of postschool education, income, ethnic background, number and age of children, marital status, and age. Employment status, school-leaving age, and socioeconomic status had no statistically significant effect on the risk of experiencing violence once other factors were considered. This analysis may provide a basis for violence reduction and prevention programs

Characteristic features of pediatric firearm fatalities - Comparisons between Australia and the United States

© 2009 American Academy of Forensic SciencesGunshot deaths in children less than 17 years of age from Adelaide, SA, Australia (1969-2005) and from San Diego County, CA, United States (1988-2005) were compared. Forty-two pediatric gunshot fatalities occurred in South Australia (1.1 cases/year; M:F = 30:12). There were 6 accidents (14%), 14 suicides (33%), and 22 homicides (52%). In San Diego there were 185 cases (c.10 cases/year; M:F = 148:37). There were 6 accidents (3%), 42 suicides (23%), 130 homicides (70%), and 7 undetermined cases (4%). The incidence of homicide was significantly higher in San Diego County compared to Adelaide (p < 0.001), with a higher proportion of murder-suicides occurring in Adelaide. There were markedly more accidents and suicides involving males in Adelaide and a far higher number of male homicide victims in San Diego County compared to females. Rifles of 0.22-caliber were preferred weapons in South Australia, compared to handguns in San Diego County.Roger W. Byard, Elisabeth Haas, Drew T. Marshall, John D. Gilbert and Henry F. Krou

Associations between diet quality and depressed mood in adolescents : results from the Australian healthy neighbourhoods study

Background: The influence of religion on demographic behaviors has been extensively studied mainly for Abrahamic religions. Although Buddhism is the world´s fourth largest religion and is dominant in several Asian nations experiencing very low fertility, the impact of Buddhism on childbearing has received comparatively little research attention. Objective: This paper draws upon a variety of data sources in different countries in Asia in order to test our hypothesis that Buddhism is related to low fertility. Methods: Religious differentials in terms of period fertility in three nations (India, Cambodia and Nepal) and cohort fertility in three case studies (Mongolia, Thailand and Japan) are analyzed. The analyses are divided into two parts: descriptive and multivariate analyses. Results: Our results suggest that Buddhist affiliation tends to be negatively or not associated with childbearing outcomes, controlling for education, region of residence, age and marital status. Although the results vary between the highly diverse contextual and institutional settings investigated, we find evidence that Buddhist affiliation or devotion is not related to elevated fertility across these very different cultural settings. Conclusions: Across the highly diverse cultural and developmental contexts under which the different strains of Buddhism dominate, the effect of Buddhism is consistently negatively or insignificantly related to fertility. These findings stand in contrast to studies of Abrahamic religions that tend to identify a positive link between religiosity and fertility