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. Author manuscript; available in PMC: 2023 Jun 26.
Published in final edited form as: Ann Am Acad Pol Soc Sci. 2023 Mar 20;703(1):50–78. doi: 10.1177/00027162231154348

TABLE 4.

Coefficients from Ordinary Least Squares Regression Models Predicting Urban-Rural Continuum Differences in Fatal Drug Poisoning Rates, 1999–2020

Overall (1999–2020) Wave 1 (1999–2010) Wave 2 (2011–2015) Waves 3 and 4 (2016–2020)
Avg. Diff. in Rate Pr > |t| Avg. Diff. in Rate Pr > |t| Avg. Diff. in Rate Pr > |t| Avg. Diff. in Rate Pr > |t|
Intercept (ref = nonmetro noncore) 12.75 <.001 9.24 <.001 14.94 <.001 19.00 <.001
Large central metro 0.74 .676 0.91 .438 −1.78 .043 2.84 .192
Large fringe metro 0.47 .788 −0.56 .633 −0.82 .337 4.24 .057
Medium metro 2.16 .220 1.31 .265 0.58 .492 5.80 .011
Small metro 0.50 .778 −0.07 .955 0.02 .981 2.32 .284
Nonmetro micropolitan 0.84 .633 0.15 .898 0.50 .553 2.84 .192

NOTE: Rates are age-adjusted. Coefficients represent the average difference in the fatal drug poisoning rate (deaths per 100,000 population) over the period identified at the top of the column. Nonmetro noncore is the reference category.