Table 2.
Sleep characteristics and symptom experience by sleep quantity
Variable | Short Sleep (< 6 h) (n = 131) | Typical Sleep (6 – 7.9 h) (n = 121) | Long Sleep (≥ 8 h) (n = 38) | Statisticsa (when p < 0.20) |
---|---|---|---|---|
Demographic | ||||
Race | χ2(4) = 24.9, p < 0.001 | |||
African American | 66 (50%)** | 37 (30%)* | 8 (21%)* | |
Caucasian | 34 (26%)** | 60 (50%)* | 24 (63%)* | |
Other | 31 (24%) | 24 (20%) | 6 (16%) | |
Education | χ2(2) = 11.1, p = 0.004 | |||
High school or less | 113 (86%)* | 90 (74%) | 24 (63%)* | |
More than high school | 18 (14%)* | 31 (26%) | 14 (37%)* | |
Household Income | χ2(2) = 9.16, p = 0.010 | |||
< $1,000/month | 102 (78%)* | 76 (63%) | 22 (58%)* | |
$1,000/month or more | 29 (22%)* | 45 (37%) | 16 (42%)* | |
Clinical | ||||
CD4+ T-cell count (cells/mm3)b | 398 ± 256* | 502 ± 273* | 470 ± 259 | F2,273 = 4.62, p = 0.011 |
Viral Load (log10 copies/mL)b | 2.09 ± 1.99 | 1.56 ± 1.89 | 1.61 ± 2.00 | F2,267 = 2.29, p = 0.103 |
Perceived Sleep Disturbance | ||||
PSQI Global score | 7.7 ± 3.8 | 7.3 ± 3.7 | 7.2 ± 3.3 | ns |
Actigraphy | ||||
Time in bed (minutes) | 452 ± 78** | 511 ± 59** | 593 ± 70** | F2,287 = 65.6, p < 0.001 |
Total sleep time (minutes) | 284 ± 58** | 416 ± 34** | 526 ± 46** | F2,287 = 473, p < 0.001 |
Sleep efficiency (% of TIB) | 63.9 ± 14.6** | 82.1 ± 9.1** | 89.0 ± 6.02** | F2,287 = 110, p < 0.001 |
Wake after sleep onset (%)b | 30.6 ± 14.9** | 14.2 ± 8.7** | 8.5 ± 6.1** | F2,287 = 91.1, p < 0.001 |
Day sleep (minutes)b | 44 ± 51* | 58 ± 57 | 86 ± 80* | F2,280 = 6.8, p = 0.001 |
Symptom Experience | ||||
Number of symptoms (MSAS) | 9.5 ± 5.8 | 8.2 ± 5.7 | 10.8 ± 6.6 | F2,277 = 3.2, p = 0.043 |
Depression (CES-D)b | 16.0 ± 10.2* | 16.3 ± 10.7* | 21.2 ± 11.3** | F2,285 = 3.1, p = 0.023 |
Anxiety (POMS subscale)b | 8.3 ± 7.0 | 8.7 ± 6.9 | 10.3 ± 7.7 | ns |
Fatigue (sleep diary) | ||||
Morning | 3.4 ± 2.3 | 3.7 ± 2.3 | 3.7 ± 2.1 | ns |
Evening | 5.3 ± 2.3 | 5.1 ± 2.2 | 5.5 ± 2.1 | ns |
Evening-Morning difference | 1.9 ± 1.9 | 1.5 ± 1.9 | 1.7 ± 1.8 | ns |
Analyses for comparing the 3 groups included χ2 for demographic variables and an omnibus ANOVA and Scheffe post hoc tests for continuous variables.
Square root transformation used to normalize distribution.
Post hoc testing indicates this group significantly differs (p ≤ 0.005) from one of the other groups.
Post hoc testing indicates this group significantly differs (p ≤ 0.005) from both of the other groups.