{"title":"Socioeconomic determinants of suicide risk: Monroe County Florida Behavioral Risk Factor Surveillance Survey, 2016","authors":"Summer D. DeBastiani, Anne E. Norris, Alison Kerr","doi":"10.1016/j.npbr.2019.06.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Socioeconomic factors have been linked to suicide, but little research has explored the effects of these determinants on suicide risk in US populations. This population-based study assessed socioeconomic determinants of suicide risk to inform suicide assessment and intervention.</p></div><div><h3>Method</h3><p><span><span>Secondary analysis of the Monroe County Florida 2016 Behavioral Risk Factor Surveillance Survey suicide </span>behavior questions among adult residents (</span><em>n</em><span><span><span> = 528). Univariate analysis and </span>logistic regression<span> assessed associations of self-reported socioeconomic status (education, employment, income, housing), health care access, </span></span>quality of life, substance use, mental illness and suicide risk.</span></p></div><div><h3>Result(s)</h3><p>Among respondents, 7.34% (n = 49, CI = 4.27–10.41) were at risk for suicide. Persons at risk reported more depression (χ<sup>2</sup> [1, <em>n</em> = 417] = 105.5, <em>p</em> = .001), poorer mental health (χ<sup>2</sup> [2, <em>n</em> = 411] = 36.6, <em>p</em> = .001), and more activity limitation due to health (χ<sup>2</sup> [1, <em>n</em> = 408] = 34.3, <em>p</em> = .001) than those not at risk. Persons at risk were more likely to be renting homes (63.5%, <em>n</em> = 19, <em>CI</em> = 43.53–80.52) than persons not at risk (36.9%, <em>n</em> = 86, <em>CI</em> = 28.53–43.29).</p></div><div><h3>Limitations</h3><p>32% missing data supports replication of study findings using larger data sets. Maximum likelihood estimation handled missing data in regression analyses. Low prevalence of suicide risk required collapsing some conceptually different categories.</p></div><div><h3>Conclusion(s)</h3><p>Housing was a stronger socioeconomic predictor of suicide risk than income, employment, or education. This finding supports exploring housing status in suicide assessment and research.</p></div>","PeriodicalId":49756,"journal":{"name":"Neurology Psychiatry and Brain Research","volume":"33 ","pages":"Pages 56-64"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.npbr.2019.06.004","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurology Psychiatry and Brain Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0941950018303191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 3
Abstract
Background
Socioeconomic factors have been linked to suicide, but little research has explored the effects of these determinants on suicide risk in US populations. This population-based study assessed socioeconomic determinants of suicide risk to inform suicide assessment and intervention.
Method
Secondary analysis of the Monroe County Florida 2016 Behavioral Risk Factor Surveillance Survey suicide behavior questions among adult residents (n = 528). Univariate analysis and logistic regression assessed associations of self-reported socioeconomic status (education, employment, income, housing), health care access, quality of life, substance use, mental illness and suicide risk.
Result(s)
Among respondents, 7.34% (n = 49, CI = 4.27–10.41) were at risk for suicide. Persons at risk reported more depression (χ2 [1, n = 417] = 105.5, p = .001), poorer mental health (χ2 [2, n = 411] = 36.6, p = .001), and more activity limitation due to health (χ2 [1, n = 408] = 34.3, p = .001) than those not at risk. Persons at risk were more likely to be renting homes (63.5%, n = 19, CI = 43.53–80.52) than persons not at risk (36.9%, n = 86, CI = 28.53–43.29).
Limitations
32% missing data supports replication of study findings using larger data sets. Maximum likelihood estimation handled missing data in regression analyses. Low prevalence of suicide risk required collapsing some conceptually different categories.
Conclusion(s)
Housing was a stronger socioeconomic predictor of suicide risk than income, employment, or education. This finding supports exploring housing status in suicide assessment and research.
期刊介绍:
Neurology, Psychiatry & Brain Research publishes original papers and reviews in
biological psychiatry,
brain research,
neurology,
neuropsychiatry,
neuropsychoimmunology,
psychopathology,
psychotherapy.
The journal has a focus on international and interdisciplinary basic research with clinical relevance. Translational research is particularly appreciated. Authors are allowed to submit their manuscript in their native language as supplemental data to the English version.
Neurology, Psychiatry & Brain Research is related to the oldest German speaking journal in this field, the Centralblatt fur Nervenheilkunde, Psychiatrie und gerichtliche Psychopathologie, founded in 1878. The tradition and idea of previous famous editors (Alois Alzheimer and Kurt Schneider among others) was continued in modernized form with Neurology, Psychiatry & Brain Research. Centralblatt was a journal of broad scope and relevance, now Neurology, Psychiatry & Brain Research represents a journal with translational and interdisciplinary perspective, focusing on clinically oriented research in psychiatry, neurology and neighboring fields of neurosciences and psychology/psychotherapy with a preference for biologically oriented research including basic research. Preference is given for papers from newly emerging fields, like clinical psychoimmunology/neuroimmunology, and ideas.