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Table 3 Results of Two-Level Random Intercept Model with Health Factors Predicting Mask Wearing

From: Demographics, politics, and health factors predict mask wearing during the COVID-19 pandemic: a cross-sectional study

Variable Unconditional Model Full Model
Fixed Effects
 Intercept .747*** (.016) .676*** (.049)
 Health behaviors   .120*** (.022)
 Clinical care   .042 (.025)
 Social and economic factors   .023 (.014)
 Physical environment   −.230*** (.047)
Covariates
 65-plus   .001 (.003)
 Female   −.004 (.002)
 White   .008* (.004)
 Rural   −.005 (.003)
Democrat   .051*** (.003)
Variance components
 Level 1 – County-level (σ2) .008*** (.000) .006*** (.000)
 Level 2 – State-level (τ00) .012*** (.002) .006*** (.001)
AIC − 6046.07 − 5434.13
BIC − 6033.97 − 5422.50
  1. Notes. *p < .05. **p < .01. ***p < .001. Standard errors presented in parentheses
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BMC Public Health

ISSN: 1471-2458

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