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Diffusion of impaired driving laws among US states

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  • Macinko, J.
  • Silver, D.

Abstract

Objectives. We examined internal and external determinants of state's adoption of impaired driving laws. Methods. Data included 7 state-level, evidence-based public health laws collected from 1980 to 2010. We used event history analyses to identify predictors of first-time law adoption and subsequent adoption between state pairs. The independent variables were internal state factors, including the political environment, legislative professionalism, government capacity, state resources, legislative history, and policy-specific risk factors. The external factors were neighboring states' history of law adoption and changes in federal law. Results. We found a strong secular trend toward an increased number of laws over time. The proportion of younger drivers and the presence of a neighboring state with similar laws were the strongest predictors of first-time law adoption. The predictors of subsequent law adoption included neighbor state adoption and previous legislative action. Alcohol laws were negatively associated with first-time adoption of impaired driving laws, suggesting substitution effects among policy choices. Conclusions. Organizations seeking to stimulate state policy changes may need to craft strategies that engage external actors, such as neighboring states, in addition to mobilizing within-state constituencies.

Suggested Citation

  • Macinko, J. & Silver, D., 2015. "Diffusion of impaired driving laws among US states," American Journal of Public Health, American Public Health Association, vol. 105(9), pages 1893-1900.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2015.302670_4
    DOI: 10.2105/AJPH.2015.302670
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    Cited by:

    1. Fox, Ashley M. & Feng, Wenhui & Yumkham, Rakesh, 2017. "State political ideology, policies and health behaviors: The case of tobacco," Social Science & Medicine, Elsevier, vol. 181(C), pages 139-147.
    2. Johanna Catherine Maclean & Melissa Oney & Joachim Marti & Jody Sindelar, 2018. "What factors predict the passage of state‐level e‐cigarette regulations?," Health Economics, John Wiley & Sons, Ltd., vol. 27(5), pages 897-907, May.
    3. Murray, Gregg R. & Murray, Susan M., 2020. "Following Doctors’ Advice: Explaining the Issuance of Stay-at-Home Orders Related to the Coronavirus Disease 2019 (COVID-19) by U.S. Governors," OSF Preprints 92ay6, Center for Open Science.
    4. Clark, Duncan A. & Macinko, James & Porfiri, Maurizio, 2022. "What factors drive state firearm law adoption? An application of exponential-family random graph models," Social Science & Medicine, Elsevier, vol. 305(C).
    5. Suk Joon Hwang & Frances Berry, 2019. "Deterring Drunk Driving: Why Some States Go Further Than Others in Policy Innovation," IJERPH, MDPI, vol. 16(10), pages 1-18, May.

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