Abstract
Using pooled cross-sectional time-series data for the 50 U.S. states over a 25-year period, this article examines how well four conceptual groups of social correlates—demographic, economic, social, and cultural factors—are associated with the 1976–2000 patterns in overall suicide rates and suicide by firearms and other means. Unlike past research that typically considers only one dimension, this analysis differentiates between spatial and temporal variation in suicide rates to determine whether and how social correlates operate differently in these two contexts. Results indicate that suicide rates correspond closely to social correlates. Within U.S. states, lower overall suicide rates between 1976 and 2000 were associated with demographic change (e.g., larger numbers of foreign-born) as well as with fewer numbers of Episcopalians. Across U.S. states, variation in overall suicide rates over the period was related to demographic (percentage male), economic (per capita income), social (percentage divorced), and cultural (alcohol consumption and gun ownership) factors. However, findings differ importantly by type of suicide, and across time and space. Reasons for these distinct patterns are discussed.
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Notes
The U.S. census groups states and the District of Columbia into nine census divisions. For more detail, see the Census Bureau website (http://www.census.gov/geo/www/2010census/gtc/gtc_census_divreg.html).
The percentage of variation between and within states explained by the covariates is determined by estimating a baseline model (regional and year dummy variables only) and comparing the estimate of random variation between states and within states to that obtained when the full set of covariates is included. For example, the estimate of state-level variance in the baseline model is 4.3392 but is reduced to 0.7133 (84.4 %) when the covariates are added to the model.
Although not statistically significant in the full model, the religious adherence rate is negatively and significantly associated with overall suicide rates across states when the percentage divorced (coefficient = −0.008; SE = 0.003) or alcohol consumption (coefficient = −0.007; SE = 0.002) is removed.
Average per capita income and percentage urban are highly correlated. In the between-state model of nonfirearm suicides, per capita income is statistically significant (coefficient = 0.286; SE = 0.13) when percentage urban is removed. Percentage urban is statistically significant (coefficient = 0.037; SE = 0.02) when per capita income is removed.
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Acknowledgements
I thank David Greenberg, Ellen Idler, Lauren Krivo, D. Randall Smith, the anonymous reviewers, and the Editor for very helpful comments. This research was supported in part by the American Foundation for the Prevention of Suicide.
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Phillips, J.A. Factors Associated With Temporal and Spatial Patterns in Suicide Rates Across U.S. States, 1976–2000. Demography 50, 591–614 (2013). https://doi.org/10.1007/s13524-012-0176-y
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DOI: https://doi.org/10.1007/s13524-012-0176-y