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Table 5 Adjusted associations between audience segment membership, demographic characteristics, and strong support for state behavioral health parity laws. Multi-level binary logistic regression, US state legislators, 2017 (N = 475)

From: Audience segmentation to disseminate behavioral health evidence to legislators: an empirical clustering analysis

  AOR (95% CI)
Audience segment
 Budget-oriented skeptics with stigma Ref.
 Passive supporters 3.47 (1.83, 6.60)*
 Action-oriented supporters 6.67 (3.30, 13.46)*
Gender
 Female Ref.
 Male 0.87 (0.48, 1.57)
Political party  
 Republican Ref.
 Democrat 3.30 (1.41, 7.71)*
 Other 2.91 (0.46, 18.25)
Region
 West Ref.
 Midwest 1.61 (0.64, 4.08)
 Northeast 1.48 (0.58, 3.78)
 South 0.94 (0.40, 2.21)
Current health committee member
 No Ref.
 Yes 1.79 (1.01, 3.18)*
Years as legislator
 ≤ 5 Ref.
 ≥ 6 0.78 (0.45, 1.34)
Social ideology
 Conservative Ref.
 Moderate 2.90 (1.35, 6.26)*
 Liberal 7.22 (2.74, 18.98)*
Fiscal ideology
 Conservative Ref.
 Moderate 0.87 (0.39, 1.91)
 Liberal 0.96 (0.40, 2.33)
Education
 ≥ Postgraduate Ref.
 ≤ College 1.25 (0.73, 2.15)
  1. aOR adjusted odds ratio, CI confidence interval
  2. *p ≤ .05. Adjusted for gender, political party, region, current health committee membership, years as legislator, social ideology, fiscal ideology, and education. Multi-level regressions (state as higher level and legislators as lower level) with state-level random intercepts which accounted for correlated responses of legislators from the same state