TY - JOUR
T1 - Who votes for public health? U.S. senator characteristics associated with voting in concordance with public health policy recommendations (1998–2013)
AU - Purtle, Jonathan
AU - Goldstein, Neal D.
AU - Edson, Eli
AU - Hand, Annamarie
N1 - Publisher Copyright:
© 2016 The Authors
PY - 2017/12/1
Y1 - 2017/12/1
N2 - Background The voting behaviors of elected officials shape the public's health. Little is known, however, about the characteristics of elected officials who vote in concordance with public health policy recommendations. This article presents the results of study conducted with the aims of: 1) testing the hypothesis that US Democrat Senators vote in concordance with American Public Health Association (APHA) policy recommendations more frequently than US Republican Senators, 2) identifying US Senator characteristics independently associated with voting in concordance with APHA, and 3) assessing trends in APHA voting concordance by political party. Methods We created a legislative dataset of 1434 votes cast on 111 legislative proposals by 184 US Senators during the years 1998 through 2013. Mixed effects linear regression models were used to estimate the independent contributions of political party, gender, geographic region, and year effects to annual APHA voting concordance. Votes were nested within Senators who were nested within States to account for non-independence and models considered potential for time and spatial patterns in the data. Results Adjusting for covariates and accounting for serial and spatial autocorrelation, Democrats averaged 59.1 percentage points higher in annual APHA voting concordance than Republicans (95% CI: 55.5, 62.7), females averaged 7.1 percentage points higher than males (95% CI: 1.9, 12.3), and Northeastern Senators averaged 16.1 percentage points higher than Southern Senators (95% CI: 9.1, 23.1). Conclusions Elected official's political party affiliation, gender, and geographic region are independently associated with public health voting decisions and should be considered when targeting and tailoring science-based policy dissemination strategies.
AB - Background The voting behaviors of elected officials shape the public's health. Little is known, however, about the characteristics of elected officials who vote in concordance with public health policy recommendations. This article presents the results of study conducted with the aims of: 1) testing the hypothesis that US Democrat Senators vote in concordance with American Public Health Association (APHA) policy recommendations more frequently than US Republican Senators, 2) identifying US Senator characteristics independently associated with voting in concordance with APHA, and 3) assessing trends in APHA voting concordance by political party. Methods We created a legislative dataset of 1434 votes cast on 111 legislative proposals by 184 US Senators during the years 1998 through 2013. Mixed effects linear regression models were used to estimate the independent contributions of political party, gender, geographic region, and year effects to annual APHA voting concordance. Votes were nested within Senators who were nested within States to account for non-independence and models considered potential for time and spatial patterns in the data. Results Adjusting for covariates and accounting for serial and spatial autocorrelation, Democrats averaged 59.1 percentage points higher in annual APHA voting concordance than Republicans (95% CI: 55.5, 62.7), females averaged 7.1 percentage points higher than males (95% CI: 1.9, 12.3), and Northeastern Senators averaged 16.1 percentage points higher than Southern Senators (95% CI: 9.1, 23.1). Conclusions Elected official's political party affiliation, gender, and geographic region are independently associated with public health voting decisions and should be considered when targeting and tailoring science-based policy dissemination strategies.
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U2 - 10.1016/j.ssmph.2016.12.011
DO - 10.1016/j.ssmph.2016.12.011
M3 - Article
AN - SCOPUS:85007350529
SN - 2352-8273
VL - 3
SP - 136
EP - 140
JO - SSM - Population Health
JF - SSM - Population Health
ER -