Research Article

Exploration of the Effect of Tobacco Smoking on Metabolic Measures in Young People Living with HIV

Table 1

Demographics of HIV-positive youth smokers and nonsmokers.

VariableSmokers ( )Nonsmokers ( ) value1

Age in years: mean (SD)21.6 (2.0)20.8 (2.3)<0.001
Race: (%)
 Black/African American 89 (62.7)168 (74.3)0.05
 White 19 (13.4)17 (7.5)
 Other/mixed race 34 (23.9)41 (18.1)
Hispanic ethnicity: (%)38 (26.4)48 (21.1)0.26
Years since HIV-positive diagnosis: mean (SD)2.5 (2.2)2.2 (2.0)0.30
Current log10 viral load (copies/mL): mean (SD)3.4 (1.0)3.2 (1.1)0.02
Current viral load ≤400 copies/mL: (%)49 (34.5)109 (48.2)0.01
Current CD4 count (cells/mm3): mean (SD)495 (273)536 (319)0.18
Current antiretroviral use by drug class: (%)
 ART-naive84 (58.3)106 (46.5)0.17
 NNRTI, no PI27 (18.8)59 (25.9)
 PI, no NNRTI27 (18.8)51 (22.4)
 Non-PI, non-NNRTI26 (4.2)12 (5.3)
Use alcohol: (%)123 (85.4)136 (59.6)<0.001
Use marijuana, hash: (%)120 (83.3)95 (41.7)<0.001
Use crack: (%)6 (4.2)3 (1.3)0.09
Use cocaine: (%)43 (29.9)18 (7.9)<0.001
Use methamphetamine: (%)20 (13.9)10 (4.4)0.002
Exercise regularly: (%)61 (42.4)98 (43.0)0.91

SD = standard deviation.
1 values obtained from Student’s -test for continuous measures and Fisher’s exact test for categorical measures.
2This antiretroviral drug class was used only in the study of females.