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Educational attainment and suicide rates in the United States. 2005

Ernest L Abel, and Michael L Kruger
Departments of Obstetrics/Gynecology and Psychology Wayne State University, USA. eabel@wayne.edu

We examined the relationship between educational attainment and suicide rate in the United States for 2001. Suicide rates, adjusted for age, were compared with percentage of college graduates, median household income, and poverty in 50 states in 2001. The correlations of suicide rates with educational attainment and median household income were both negative and statistically significant. Poverty was not significantly related to suicide rates. We concluded that higher education and income were associated with a decrease in suicide rates in 2001. Data from other years require examination for this conclusion to be generalizable.

UI MeSH Term Description Entries
D007182 Income Revenues or receipts accruing from business enterprise, labor, or invested capital. Income Distribution,Income Generation Programs,Savings,Distribution, Income,Distributions, Income,Income Distributions,Income Generation Program,Incomes,Program, Income Generation,Programs, Income Generation
D008297 Male Males
D011203 Poverty A situation in which the level of living of an individual, family, or group is below the standard of the community. It is often related to a specific income level. Federal Poverty Level,Federal Poverty Threshold,Indigency,Low-Income Population,Absolute Poverty,Extreme Poverty,Indigents,Low Income Population,Federal Poverty Levels,Indigent,Level, Federal Poverty,Low Income Populations,Low-Income Populations,Population, Low Income,Population, Low-Income,Poverty Level, Federal,Poverty Threshold, Federal,Poverty, Absolute,Poverty, Extreme
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D004522 Educational Status Educational attainment or level of education of an individual. Education Level,Educational Achievement,Educational Attainment,Educational Level,Level of Education,Maternal Education Level,Maternal Educational Attainment,Maternal Educational Level,Paternal Education Level,Paternal Educational Attainment,Paternal Educational Level,Achievement, Educational,Educational Status, Maternal,Educational Status, Paternal,Maternal Educational Status,Paternal Educational Status,Status, Educational,Attainment, Educational,Attainment, Maternal Educational,Attainment, Paternal Educational,Education Level, Maternal,Education Level, Paternal,Education Levels,Educational Achievements,Educational Attainment, Maternal,Educational Attainment, Paternal,Educational Attainments,Educational Level, Maternal,Educational Level, Paternal,Educational Levels,Level, Education,Level, Educational,Level, Maternal Education,Level, Maternal Educational,Level, Paternal Education,Level, Paternal Educational,Levels, Maternal Educational,Maternal Education Levels,Maternal Educational Attainments,Maternal Educational Levels,Paternal Education Levels,Paternal Educational Attainments,Paternal Educational Levels,Status, Maternal Educational,Status, Paternal Educational
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor

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