Literature DB >> 3501179

States' public welfare expenditures as predictors of state suicide rates.

S L Zimmerman1.   

Abstract

This exploratory multiple-regression study took its cue from social integration theory to examine the relative importance of state per capita expenditures for public welfare in predicting state suicide rates when controlling for the effects of state divorce rates, state population change rates, and the percentage of persons with annual incomes between $10,000 and $19,999. While the four variables together accounted for .73 of the explained variance in state suicide rates, the effects of state per capita expenditures for public welfare were not very important when those of the other variables were taken into account. This, however, does not mean that state per capita expenditures for public welfare are inconsequential with respect to state suicide rates, inasmuch as they were inversely related to each of the other three independent variables, each of which was positively related to state suicide rates. This means that state per capita expenditures are indirectly related to suicide--in a negative direction. The implications of the findings for policy and suicide prevention are briefly discussed.

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Year:  1987        PMID: 3501179     DOI: 10.1111/j.1943-278x.1987.tb00068.x

Source DB:  PubMed          Journal:  Suicide Life Threat Behav        ISSN: 0363-0234


  3 in total

1.  Suicide rate differences by sex, age, and urbanicity, and related regional factors in Korea.

Authors:  Kyu-Seok Cheong; Min-Hyeok Choi; Byung-Mann Cho; Tae-Ho Yoon; Chang-Hun Kim; Yu-Mi Kim; In-Kyung Hwang
Journal:  J Prev Med Public Health       Date:  2012-03-31

2.  A spatiotemporal model of firearm ownership in the United States.

Authors:  Roni Barak-Ventura; Manuel Ruiz Marín; Maurizio Porfiri
Journal:  Patterns (N Y)       Date:  2022-06-29

3.  Regional Variation of Suicide Mortality in South Korea.

Authors:  Minjae Choi; Yo Han Lee
Journal:  Int J Environ Res Public Health       Date:  2020-07-28       Impact factor: 3.390

  3 in total

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