Factors related to self-reported violent and accidental injuries

Risk Factors for Violent Injuries and Their Severity Among Men in The Gambia

A matched case-control study was conducted to identify risk factors for injury from physical violence and its severity in Gambian men. Study participants were recruited from eight emergency rooms and outpatient departments in two health administrative regions. Cases were male patients aged ⩾15 years who had been violently injured. A control patient for each case, matched for the hospital or health center, date of injury, gender, and age, was selected from those injured due to nonviolence causes. In total, 447 case-control pairs were recruited. Results of the conditional logistic regression analysis showed that case patients who worked as businessmen (odds ratio [OR], 1.93; 95% confidence interval [CI] [1.16, 3.20]), had monthly household income of ⩾US$311 (OR, 2.12; 95% CI [1.06, 4.24]), had two or more male siblings (OR, 2.20; 95% CI [1.15, 4.21]), had consumed alcohol in the past week (OR, 3.32; 95% CI [1.25, 8.84]), and had been physically abused (OR, 5.10; 95% CI [2.71, 9.62]) or verbally abused (OR, 1.63; 95% CI [1.04, 2.56]) in the past 12 months were significantly associated with the occurrence of injury from physical violence. Severe injuries during the violence were significantly associated with events that took place in public spaces, with certain injury mechanisms (being stabbed/cut/pierced, struck by an object, assaulted by fist punching/leg kicking/head-butting, and scalded/stoned), having injuries to the upper extremities, and smoked cigarettes in the past week. Specific public health programs aimed at preventing physical violence and severe injuries against men should be developed in The Gambia based on modifications of the identified risk factors.

The criteria for causation of alcohol in violent injuries based on emergency room data from six countries

This paper is based on data using similar methods collected from patients at 30 emergency rooms (ERs) in six countries. These data were analyzed with the goal of determining whether alcohol is a likely cause of violence through an application of criteria outlined by Bradford Hill. Analyses were conducted by comparing various measures of alcohol involvement in violent versus accidental injuries. The results supported temporal sequence of events and specificity. The odds ratios of violent versus accidental injury for a blood alcohol concentration (BAC) over 80 mg% were significant for each country, ranging from 2.77 for Mexico to 9.45 for Canada, which supports both the strength of associations and the consistency of findings. No third variables were found from the logistic regression analysis that better explain the relationships between alcohol and violence. A significant dose-response relationship between BAC level and violence was also found. All analyses conducted point to a causal role of alcohol in injuries related to violence.

Injury risk associated with cannabis and cocaine use

The purpose of this paper is to review the results and limitations of studies of injury risks associated with cannabis and cocaine use. Three types of fatal and non-fatal injuries are considered: injuries due to collisions, intentional injuries and injuries in general. Four types of studies were reviewed: (I) laboratory studies, (II) descriptive and analytic epidemiological studies on the prevalence of cannabis or cocaine use through drug testing of those injured, (III) studies of non-clinical samples, and (IV) studies of clinical samples of drug users. The research that utilized drug tests showed similar proportions testing positive for cannabis in fatal and non-fatal injury groups, and for collisions, violence and injuries in general. By contrast, large differences in the average proportions testing positive for cocaine were found among these same injury groups. For example, 28.7% of people with intentional injuries (primarily homicides) tested positive for cocaine, while 4.5% of injured drivers tested positive. Studies of non-clinical samples have shown that both cannabis and cocaine use are related to intentional injuries and injuries in general. Results indicate higher risk for all types of injuries among cannabis and cocaine clients in treatment. Strengths and limitations of the different types of studies are discussed. More rigorous studies are needed which should focus on ruling out alternative explanations for relationships between drug use and injuries.

A Marijuana Screening Inventory (Experimental Version): Description and Preliminary Psychometric Properties

OBJECTIVE

Marijuana use prevalence, culturally confusing messages about marijuana risks, assessment dilemmas, and current screening inadequacies justify developing a marijuana specific screening inventory for assessment purposes. This article describes the Marijuana Screening Inventory (MSI-X) and its preliminary psychometric reliability, factor analyses, and factor structure.

METHOD

The MSI-X was administered to a community sample of 420 Army reservists participating in substance abuse educational classes. Participants responded anonymously to the 39-item MSI-X. SPSS analyses were performed with 408 returned MSI-Xs from a sample of 49% males and 40% females.

RESULTS

Analyses revealed 61% smoked marijuana during their lifetime. Reliability of the MSI-X was .89. Exploratory factor analyses of 31 scored items by principal components and varimax rotation supported a nine-factor structure, explaining 65.8% of the variance, with all items loading > or = .30. Within the sample, 7.84% scored > or = 7 suggesting "at risk" with marijuana; 6.12% scored 4 to 6 "suggestive of risk"; 20.83% scored 1 to 3 reflecting "normal or experimental" use; and 65.4% scored 0 suggesting "no problem."

CONCLUSIONS

The reliability, variance explained, factor-loading matrix of the nine-factor MSI-X structure and clinically predetermined scoring ranges appear useful for screening marijuana use patterns. Factor-based subscales were derived from the factor-loading matrix and described as a base for future confirmatory factor analysis. Although the MSI-X version needs psychometric strengthening, it shows potential as a marijuana-specific screening inventory for use in general mental health and primary care settings.