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.     

Cannabinoid concentrations in hair from documented cannabis users

Fifty-three head hair specimens were collected from 38 males with a history of cannabis use documented by questionnaire, urinalysis and controlled, double blind administration of delta9-tetrahydrocannabinol (THC) in an institutional review board approved protocol. The subjects completed a questionnaire indicating daily cannabis use (N=18) or non-daily use, i.e. one to five cannabis cigarettes per week (N=20). Drug use was also documented by a positive cannabinoid urinalysis, a hair specimen was collected from each subject and they were admitted to a closed research unit. Additional hair specimens were collected following smoking of two 2.7% THC cigarettes (N=13) or multiple oral doses totaling 116 mg THC (N=2). Cannabinoid concentrations in all hair specimens were determined by ELISA and GCMSMS. Pre- and post-dose detection rates did not differ statistically, therefore, all 53 specimens were considered as one group for further comparisons. Nineteen specimens (36%) had no detectable THC or 11-nor-9-carboxy-THC (THCCOOH) at the GCMSMS limits of quantification (LOQ) of 1.0 and 0.1 pg/mg hair, respectively. Two specimens (3.8%) had measurable THC only, 14 (26%) THCCOOH only, and 18 (34%) both cannabinoids. Detection rates were significantly different (p<0.05, Fishers' exact test) between daily cannabis users (85%) and non-daily users (52%). There was no difference in detection rates between African-American and Caucasian subjects (p>0.3, Fisher's exact test). For specimens with detectable cannabinoids, concentrations ranged from 3.4 to >100 pg THC/mg and 0.10 to 7.3 pg THCCOOH/mg hair. THC and THCCOOH concentrations were positively correlated (r=0.38, p<0.01, Pearson's product moment correlation). Using an immunoassay cutoff concentration of 5 pg THC equiv./mg hair, 83% of specimens that screened positive were confirmed by GCMSMS at a cutoff concentration of 0.1 pg THCCOOH/mg hair.