Husbands who harm: Predicting spousal violence by men

Previous research on spouse abuse has frequently focused on bivariate relationships between theoretically derived variables and marital violence. This study utilizes a multivariate approach in order to explore the independent and combined effects of several variables derived from the social learning and the frustration/strain perspectives on self-reported violence by husbands against wives. Data for married and/or cohabiting males are derived from a national stratified random sample of couples in the United States. Loglinear analysis is used to identify the main and interactive effects of age, occupational status, employment status, subjective economic strain, and observation of parental violence on reports of violence toward one's wife. Results indicate that age, occupational status, parental modeling and employment status affect the likelihood of violence. Employment status more strongly increases the likelihood of violence for younger men, as opposed to older men, which supports the strain perspective. The independent effect of the observation of parental violence lends support to the social learning approach. Social policy implications are discussed.     

Violence and abuse in psychiatric in-patient institutions: a South African perspective

Institutionalisation of psychiatric patients was a prevalent treatment approach in the apartheid era of South Africa. Allegations of violence and abuse towards patients frequently arose during this time. The post-apartheid Department of Health prioritised improvements in mental health care by recommending, inter alia, deinstitutionalisation and reintegration of patients into the community. Ten years later, these interventions have proved difficult to institute and many patients are still hospitalised. The present study investigated whether currently hospitalised patients continued to experienced violence and abuse. This was an exploratory naturalistic study in which both qualitative and quantitative data were collected. Of the 127 who completed the study, more than 50% reported experiences of abuse. The main perpetrators were other patients, although violence by staff was reported. Reasons for the tardiness of implementation of deinstitutionalisation and the prevalence of ongoing violence and abuse in psychiatric hospitals are complex. Factors inherited from the pre-democratic system coupled with increased urban violence and financial constraints appear to be some of the major causes of ongoing dependency upon hospitalisation of mental health care users. The present study highlighted the urgency of implementing mental health care improvements.     

An STR forensic typing system for genetic individualization of domestic cat (Felis catus) samples

A forensic genotyping panel of 11 tetranucleotide STR loci from the domestic cat was characterized and evaluated for genetic individualization of cat tissues. We first examined 49 candidate STR loci and their frequency assessment in domestic cat populations. The STR loci (3-4 base pair repeat motifs), mapped in the cat genome relative to 579 coding loci and 255 STR loci, are well distributed across the 18 feline autosomes. All loci exhibit Mendelian inheritance in a multi-generation pedigree. Eleven loci that were unlinked and were highly heterozygous in cat breeds were selected for a forensic panel. Heterozygosity values obtained for the independent loci, ranged from 0.60-0.82, while the average cat breed heterozygosity obtained for the 11 locus panel was 0.71 (range of 0.57-0.83). A small sample set of outbred domestic cats displayed a heterozygosity of 0.86 for the 11 locus panel. The power of discrimination of the panel is moderate to high in the cat breeds examined, with an average P(m) of 3.7E-06. The panel shows good potential for genetic individualization within outbred domestic cats with a P(m) of 5.31E-08. A multiplex protocol, designed for the co-amplification of the 11 loci and a gender-identifying locus, is species specific and robust, generating a product profile with as little as 0.125 nanograms of genomic DNA.