Search PubMed⌕ Search

PubMed · 15726935

Testing three competing hypotheses for explaining lethal violence.

Abstract

This study tests three competing hypotheses for explaining lethal violence that is conceptualized as the combination of both suicide and homicide. These three hypotheses differ on how lethal violence can be expressed as either suicide or homicide. Suicide and homicide data, from 1989 to 1991, were obtained from the Multiple Cause of Death study conducted by the National Center for Health Statistics. A bivariate analysis shows that there is a positive correlation between suicide and homicide rates for 458 large counties in the US. A weighted least square regression analysis reveals that the attribution hypothesis is supported by the results. Counties with a higher degree of others-blame-worthiness are more likely to express violence as homicide. Neither the socialization nor the social disorder hypotheses is supported by the analysis. Results of this study suggest that it is fruitful to study both suicide and homicide under the same theoretical and empirical framework.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bohsiu Wu. 2004. Testing three competing hypotheses for explaining lethal violence.. https://doi.org/10.1891/vivi.19.4.399.64167

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Overall and cause-specific mortality in ulcerative colitis: meta-analysis of population-based inception cohort studies.

OBJECTIVES: It remains debated whether patients with ulcerative colitis (UC) are at greater risk of dying and whether a possible alteration in mortality can be attributed to specific causes of death. We aimed to clarify this issue by conducting a meta-analysis of population-based inception cohort studies on overall and cause-specific mortality in patients with UC. METHODS: The MEDLINE search engine and abstracts from international conferences were searched for relevant literature by use of explicit search criteria. STATA meta-analysis software was used to calculate pooled risk estimates (SMR, standardized mortality ratio, observed/expected deaths) of overall mortality and specific causes of death and to conduct metaregression analyses of the influence of specific variables on SMR. RESULTS: Ten papers fulfilled the inclusion criteria, reporting SMRs varying from 0.7 to 1.4. The overall pooled estimate was 1.1 (95% confidence interval [CI] 0.9-1.2, P= 0.42). However, greater risk of dying was observed during the first years of follow-up, in patients with extensive colitis, and in patients from Scandinavia. Metaregression analysis showed an increase in SMR by increasing cohort size. UC-related mortality accounted for 17% of all deaths. Mortality from gastrointestinal diseases, nonalcoholic liver diseases, pulmonary embolisms, and respiratory diseases was increased whereas mortality from pulmonary cancer was reduced. CONCLUSIONS: The overall risk of dying in patients with UC did not differ from that of the background population, although subgroups of patients were at greater risk of dying. The cause-of-death distribution seemed to differ from that of the background population.

Cause of Death↗