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Table 3 Multinomial Logistic Regression between Independent Variables and Depression among Latina Male-to-Female Transgender Women (n = 220)

From: Perceived discrimination and depression among low-income Latina male-to-female transgender women

Independent variables Moderate Moderately severe to severe
  Odds ratio CI Odds ratio CI
Age     
< 35 1.13 0.48 – 2.68 1.01 0.42 – 2.43
≥ 35 1.00 - 1.00 -
Education     
< 12th grade 0.90 0.39 – 2.04 4.14** 1.76 – 8.77
≥ 12th grade 1.00 - 1.00 -
Immigration Status     
Legal Resident 0.82 0.35 – 1.91 0.83 0.35 – 1.94
Undocumented 1.00 - 1.00 -
Years in USA     
< 5 years 1.22 0.39 – 3.83 0.11 0.01 – 1.00
≥ 5 years 1.00 - 1.00 -
Living Arrangement     
Alone 1.07 0.47 – 2.43 1.05 0.45 – 2.45
With other 1.00 - 1.00 -
Income     
< $10,000 1.32 0.57 – 3.05 1.23 0.52 – 2.92
≥ $10,000 1.00 - 1.00 -
History of Sex Work     
No 1.24 0.46 – 3.30 1.88 0.70 – 5.05
Yes 1.00 - 1.00 -
Sexual Partner Violence (Range 0–2) 1.29 0.79– 2.10 1.91** 1.12– 3.26
Perceived Discrimination (Range 15 – 60: Low to High) 1.05* 1.01 – 1.10 1.20** 1.11 – 1.29
  1. The reference category is “minimal symptoms or minor depression” = 1.
  2. The Chi-Square statistics is the difference in −2 log-likelihoods between the final model and a reduced model. The reduced model is formed by omitting an effect from the final model.
  3. CI indicates 95% Confidence Interval for Odds Ratio.
  4. Nagelkerke R-Squared = 0.252.
  5. −2 Log Likelihood = 384.
  6. Chi-Square for overall model with df 18 = 51.4 (p < 0.0001).
  7. ** P < 0.01; * P < 0.05.