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. Author manuscript; available in PMC: 2014 Jan 27.
Published in final edited form as: AIDS. 2013 Feb 20;27(4):573–578. doi: 10.1097/QAD.0b013e32835b9ba1

Table 1.

Participant demographic and clinical characteristics by vitamin D status, n = 204.

Vitamin D status
>30 ng/ml ≤30 ng/ml P-value
Total, n (%) 22 (11) 182 (89)
Age, n (%)
 38 years or younger 16 (15) 89 (85) 0.04
 Over 38 years 6 (6) 93 (94)
Race/ethnicitya, n (%)
 Non-Hispanic white 8 (38) 13 (62) <0.0001
 Hispanic 7 (17) 35 (83)
 Non-Hispanic black 4 (3) 119 (97)
 Other 3 (17) 15 (83)
Median BMI (kg/m3) (IQR) 22.2 (21.2–22.9) 25.3 (21.6–30.4) 0.002
Hepatitis C antibody status, n (%)
 Negative 17 (13) 119 (87) 0.26
 Positive 5 (7) 63 (93)
CD4 nadir, n (%)
 50 cells/μl or more 13 (10) 123 (90) 0.42
 Less than 50 cells/μl 9 (13) 59 (87)
Antiretroviral naivea, n (%)
 No 19 (13) 130 (87) 0.20
 Yes 3 (5) 52 (95)
Viral load last pre-HAARTa, n (%)
 <100 000, cells/ul 15 (11) 116 (89) 0.32
 100 000+, cells/ul 4 (6) 58 (94)
Undetectable viral load 24 months post-HAART visit, n (%)
 No 13 (11) 108 (89) 0.94
 Yes 7 (11) 56 (89)

Chi-square tests were utilized to examine the relationship between vitamin D status and categorical variables. The nonparametric Kruskal–Wallis test was used to examine the difference in median BMI by vitamin D status. Due to missing values, not all rows add up to n = 204.

a

Fisher’s exact test used where expected cell size was less than 5.