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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.