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. Author manuscript; available in PMC: 2022 Nov 29.
Published in final edited form as: Lancet HIV. 2020 Sep 7;7(12):e817–e824. doi: 10.1016/S2352-3018(20)30198-3

Table 3.

Multivariable models predicting HIV testing frequency from individual-level and community-level stigma geolocation clusters stratified by gender.

Women Men
Predictor B Effect X2 p B Effect X2 p
Age .016 489.6 < .0001 .024 663.5 < .0001
Education .012 28.6 < .0001 .038 155.1 < .0001
Without electricity .153 99.9 < .0001 .065 8.8 .003
HIV+ household member −.009 0.1 .811 .016 .1 .793
Tested HIV+ post-survey −.407 81.7 < .0001 −.906 87.6 < .0001
Interviews per household −.045 67.9 < .0001 .036 24.1 < .0001
Individual-level stigma −.173 94.4 < .0001 −.030 5.5 .018
Community-level stigma −.223 178.9 < .0001 .077 7.0 .008
Individual-level X Community-level stigma 2.9 .087 0.8 .349