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. Author manuscript; available in PMC: 2020 Sep 18.
Published in final edited form as: AIDS Behav. 2020 Feb;24(2):428–436. doi: 10.1007/s10461-019-02458-z

Table 3.

Multivariable Analysis to Evaluate the Association of Syndemic Factor Count and HIV Screening in the Previous Six Months in the POWER Sample, 2014–2017 (n = 2,170)

Model AOR 95% CI p value
Model 1 (demographic variables)
 Age
  18 – 29 2.18 1.74 – 2.72 p<.001
  30 – 39 1.68 1.30 – 2.16 p<.001
  40+ (ref) 1.0
 Sexuality
  Gay/Homosexual (ref) 1.0
  Heterosexual 1.04 0.49 – 2.21 p=.923
  Bisexual 0.97 0.80 – 1.19 p=.788
  Other 0.67 0.37 – 1.21 p=.184
 Education
  High school or less (ref) 1.0
  Some college or college 1.51 1.26 – 1.81 p<.001
  Post Bac/Graduate 1.26 0.96 – 1.65 p=.099
 Income
  0 – 29,999 (ref) 1.0
  30,000+ 1.26 1.06 – 1.50 p=.009
Relationship status
 Single (ref) 1.0
 Partnered 0.86 0.72–1.03 p=.098
Current Insurance
 No 0.76 0.70 – 0.94 p=.012
 Yes (ref) 1.0
Model 2a (number of syndemic factors)
 Syndemic = 0 (ref) 1.0
 Syndemic = 1 1.35 1.03 – 1.77 p=.028
 Syndemic = 2 1.37 1.04 – 1.80 p=.028
 Syndemic = 3 1.24 0.91 – 1.69 p=164
 Syndemic = 4 1.58 0.98 – 2.53 p=.08O
 Syndemic = 5 1.03 0.70 – 3.10 p=511
Model 2b
 Any Syndemic (2+ factors) 1.06 0.91 – 1.24 p=472

Note: all models were controlled for year and city of data collection in addition to demographic variables. Models 2a and 2b were conducted controlling for demographic variables.