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Table 2 Results of adjusted multivariable logistic regression with lasso variable selection: Correlates of HIV treatment engagement in the context of COVID-19 in a global sample of transgender and nonbinary people living with HIV

From: HIV treatment engagement in the context of COVID-19: an observational global sample of transgender and nonbinary people living with HIV

HIV treatment engagement outcomes

Lasso-selected factors

Adjusted OR (95% CI)

p-value

On treatment

   
 

Gender identity

  
 

Nonbinary

ref

 
 

Trans masculine

0.55 (0.34–0.90)*

0.018

 

Trans feminine

0.88 (0.72–1.07)

0.229

 

Age

  
 

18–29 years old

ref

 
 

30–39 years old

1.07 (0.92–1.23)

0.345

 

40–29 years old

1.04 (0.85–1.28)

0.649

 

50 or more years old

0.97 (0.68–1.37)

0.866

 

Education

  
 

Less than college

ref

 
 

College/Some college

1.27 (1.02–1.59)*

0.033

 

Level of socioeconomic status

  
 

Lower

ref

 
 

Lower-middle

0.90 (0.63–1.29)

0.593

 

Upper-middle

0.84 (0.56–1.26)

0.413

 

Upper

0.83 (0.41–1.65)

0.603

 

WHO continent region

  
 

South-East Asia

  
 

Americas

1.01 (0.83–1.23)

0.854

 

Eastern Mediterranean

0.90 (0.73–1.10)

0.325

 

Africa

1.23 (0.98–1.53)

0.062

 

Europe

0.84 (0.61–1.16)

0.300

 

Western Pacific

0.85 (0.48–1.48)

0.570

Access to HIV Provider

   
 

Gender identity

  
 

Nonbinary

ref

 
 

Trans masculine

0.89 (0.46–1.72)

0.748

 

Trans feminine

0.94 (0.75–1.18)

0.637

 

Age

  
 

18–29 years old

ref

 
 

30–39 years old

1.19 (0.97–1.45)

0.089

 

40–49 years old

1.29 (1.01–1.64)*

0.036

 

50 or more years old

1.30 (1.02–1.65)*

0.031

 

WHO continent region

  
 

South-East Asia

ref

 
 

Americas

0.65 (0.49–0.86)*

0.002

 

Eastern Mediterranean

0.85 (0.56–1.30)

0.475

 

Africa

0.65 (0.44–0.96)*

0.035

 

Europe

0.78 (0.63–0.92)*

0.006

 

Western Pacific

0.37 (0.29–0.46)*

< 0.001

 

Job loss/unemployment (anticipated)

  
 

No

ref

 
 

Yes

1.11 (0.91–1.34)

0.292

Access to Treatment

   
 

Gender identity

  
 

Nonbinary

ref

 
 

Trans masculine

0.88 (0.60–1.30)

0.548

 

Trans feminine

0.87 (0.72–1.06)

0.179

 

Age

  
 

18–29 years old

ref

 
 

30–39 years old

1.36 (1.01–1.84)*

0.041

 

40–29 years old

1.63 (1.17–2.26)*

0.003

 

50 or more years old

1.31 (1.03–1.67)*

0.026

 

Education

  
 

Less than college

ref

 
 

College/Some college

0.97 (0.86–1.08)

0.622

 

Level of socioeconomic status

  
 

Lower

ref

 
 

Lower-middle

0.84 (0.71–1.01)

0.060

 

Upper-middle

0.99 (0.82–1.19)

0.935

 

Upper

0.64 (0.47–1.88)

0.065

 

Migrant status

  
 

No/Unsure

ref

 
 

Yes

0.89 (0.72–1.09)

0.279

 

WHO continent region

  
 

South-East Asia

ref

 
 

Americas

1.30 (1.09–1.55)*

0.003

 

Eastern Mediterranean

0.74 (0.46–1.18)

0.217

 

Africa

0.90 (0.70–1.15)

0.413

 

Europe

0.99 (0.82–1.19)

0.924

 

Western Pacific

0.87 (0.29–2.58)

0.803

 

Income reduction (anticipated)

  
 

No

ref

 
 

Yes

1.21 (0.87–1.70)

0.247

 

Job loss/unemployment (anticipated)

  
 

No

ref

 
 

Yes

0.79 (0.63–0.90)*

0.044

 

Cutting Meals

  
 

No

ref

 
 

Yes

0.86 (0.71–1.05)

0.167

Remote Prescription Refill

   
 

Gender identity

  
 

Nonbinary

ref

 
 

Trans masculine

1.44 (0.96–2.16)

0.075

 

Trans feminine

0.98 (0.79–1.23)

0.910

 

Level of socioeconomic status

  
 

Lower

ref

 
 

Lower-middle

1.13 (0.88–1.46)

0.326

 

Upper-middle

1.06 (0.77–1.46)

0.708

 

Upper

1.54 (1.03–2.30)*

0.033

  1. *p < 0.05, OR odds ratio, 95% CI 95% Confidence Interval, WHO World Health Organization. Each model/outcome ran under a nonparametric bootstrapping procedure with 1000 iterations