| Literature DB >> 27608764 |
Bernard Cerutti1, Barbara Broers2, Motlomelo Masetsibi3, Olatunbosun Faturiyele3, Likabelo Toti-Mokoteli3, Mokete Motlatsi3, Joelle Bader4, Thomas Klimkait5, Niklaus D Labhardt6.
Abstract
BACKGROUND: Depression and alcohol use disorder have been shown to be associated with poor adherence to antiretroviral therapy (ART). Studies examining their association with viral suppression in rural Africa are, however, scarce.Entities:
Keywords: Africa; Alcohol; Depression; HIV, antiretroviral therapy; Medication adherence
Mesh:
Substances:
Year: 2016 PMID: 27608764 PMCID: PMC5015267 DOI: 10.1186/s12889-016-3209-4
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Distribution of age, AUDIT and PHQ scores, treatment adherence, and viral suppression
| Overall | Women | Men | Odds-ratioa(95 % CI) |
| Adjusted odds-ratiob(95 % CI) | Adjusted | ||
|---|---|---|---|---|---|---|---|---|
| Median age (IQR) | 43.6 (34.5–53.5) | 43.6 (34.5–53.5) | 40.8 (32.4–51.4) | <0.001 | . | . | ||
| Alcohol consumption | Yes | 268 (19.3 %) | 134 (14.0 %) | 134 (31.2 %) | 0.35 (0.27-0.47) | <0.001 | 0.37 (0.28-0.50) | <0.001 |
| No | 1,120 (80.7 %) | 824 (86.0 %) | 296 (68.8 %) | |||||
| Mean AUDIT Score (SD) among drinkers | 5.9 (5.4) | 5.7 (5.8) | 6.2 (4.9) | . | 0.454 | . | 0.491 | |
| Hazardous consumption (AUDIT ≥ 8) | Yes | 88 (6.3 %) | 42 (4.4 %) | 46 (10.7 %) | 0.38 (0.25-0.59) | <0.001 | 0.39 (0.25-0.60) | <0.001 |
| No | 1,300 (93.7 %) | 916 (95.6 %) | 384 (89.3 %) | |||||
| Alcohol dependence (AUDIT ≥ 20) | Yes | 4 (0.3 %) | 3 (0.3 %) | 1 (0.2 %) | . | . | . | . |
| No | 1,384 (99.7 %) | 955 (99.7 %) | 429 (99.8 %) | |||||
| Mean PHQ Score (SD) | 6.6 (5.8) | 7.1 (5.8) | 5.5 (5.6) | . | <0.001 | . | <0.001 | |
| Moderate to severe depression (PHQ-9 ≥ 10) | Yes | 400 (28.8 %) | 313 (32.7 %) | 87 (20.2 %) | 1.89 (1.45-2.49) | <0.001 | 1.92 (1.45-2.54) | <0.001 |
| No | 988 (71.2 %) | 645 (67.3 %) | 343 (79.8 %) | |||||
| Mean VAS (SD) | 92.0 (12.2) | 91.9 (12.3) | 92.2 (12.0) | . | 0.713 | . | 0.701 | |
| Low VAS (≤95 %) | Yes | 610 (44.7 %) | 419 (44.6 %) | 191 (45.0 %) | 0.97 (0.77-1.23) | 0.823 | 0.97 (0.76-1.23) | 0.780 |
| No | 754 (55.3 %) | 521 (55.4 %) | 233 (55.0 %) | |||||
| Mean pill count Score (SD) | 96.9 (8.3) | 97.1 (8.1) | 96.6 (8.6) | . | 0.333 | . | 0.380 | |
| Low pill count (≤95 %) | Yes | 301 (22.6 %) | 196 (21.3 %) | 105 (25.5 %) | 0.79 (0.60-1.04) | 0.093 | 0.81 (0.61-1.08) | 0.148 |
| No | 1,029 (77.4 %) | 723 (78.7 %) | 306 (74.5 %) | |||||
| Viral Suppression (≤80 copies/m) | Yes | 1,270 (91.5 %) | 883 (92.2 %) | 387(90.0 %) | 1.31 (0.88-1.94) | 0.187 | 1.43 (0.96-2.16) | 0.088 |
| No | 118 (8.5 %) | 75 (7.8 %) | 43 (10.0 %) |
athe group of reference is the male population
badjusted by age and wealth index
Viral suppression and association with socio-demographic characteristics, type of ART-regimen, AUDIT and PHQ scores, and treatment adherence
| Viral load <80 c/mL | ≥80 c/mL | Odds-ratio viral suppression (95 % CI) |
| ||
|---|---|---|---|---|---|
| Male | 387 (90.0 %) | 43 (10.0 %) | 1 | ||
| Female | 883 (92.2 %) | 75 (7.8 %) | 1.33 (0.90-2.00) | 0.158 | |
| Median age (IQR) | 43.6 (34.5–53.9) | 41.4 (33.2–50.2) | 0.181a | ||
| Age <35 years | 334 (90.3 %) | 36 (9.7 %) | 1 | 0.329 | |
| ≥35 years | 936 (91.9 %) | 82 (8.1 %) | 1.23 (0.81-1.86) | ||
| Median wealth index (IQR) | −0.52 (−1.66-1.25) | −0.90 (−1.76-1.13) | 0.180a | ||
| Wealth index | Q1b | 253 (90.7 %) | 26 (9.3 %) | 1 | 0.293 |
| Q2 | 249 (88.9 %) | 31 (11.1 %) | 0.83 (0.41-1.64) | ||
| Q3 | 250 (92.6 %) | 20 (7.4 %) | 1.28 (0.60-2.75) | ||
| Q4 | 258 (93.8 %) | 17 (6.2 %) | 1.56 (0.70-3.46) | ||
| Q5 | 260 (91.5 %) | 24 (8.5 %) | 1.11 (0.54-2.31) | ||
| Type of facility | Center | 768 (91.9 %) | 68 (8.1 %) | 1 | 0.547 |
| Hospital | 502 (90.9 %) | 50 (9.1 %) | 0.89 (0.61-1.30) | ||
| NRTI backbone | AZTc/3TCd | 418 (87.8 %) | 58 (12.2 %) | 0.52 (0.34-0.80) | 0.004 |
| TDFe/3TCd | 819 (93.3 %) | 59 (6.7 %) | 1 | ||
| ABCf/3TCd | 13 (92.9 %) | 1 (7.1 %) | 0.94 (0.09-9.80) | ||
| NNRTI | EFVg | 959 (92.2 %) | 81 (7.8 %) | 1 | 0.056 |
| NVPh | 291 (88.7 %) | 37 (11.3 %) | 0.66 (0.44-1.00) | ||
| Median AUDIT Score (IQR) | 0 (0–0) | 0 (0–1.0) | 0.384a | ||
| Hazardous consumption | Yes | 79 (89.8 %) | 9 (10.2 %) | 0.80 (0.39-1.65) | 0.559 |
| (AUDIT ≥ 8) | No | 1’191(91.6 %) | 109(8.4 %) | 1 | |
| Median PHQ-9 Score (IQR) | 6 (1–10) | 6 (1–9) | 0.423a | ||
| Moderate to severe depression (PHQ-9 ≥ 10) | Yes | 371 (92.8 %) | 29 (7.3 %) | 1.27 (0.82-1.96) | 0.281 |
| No | 899 (91.0 %) | 89 (9.0 %) | 1 | ||
| VAS (IQR) | 96 (91–99) | 96 (90–100) | 0.424a | ||
| Low adherence VAS (≤95 %) | Yes | 558 (91.5 %) | 52 (8.5 %) | 1.02 (0.70-1.50) | 0.818 |
| No | 691 (91.6 %) | 63 (8.4 %) | 1 | ||
| Pill count’s tool (IQR) | 100 (96–100) | 100 (96–100) | 0.851a | ||
| Low pill count’s tool (≤95 %) | Yes | 275 (91.4 %) | 26 (8.6 %) | 0.99 (0.63-1.56) | 0.999 |
| No | 941 (91.4 %) | 88 (8.6 %) | 1 |
a: Wilcoxon rank-sum test, b: lowest quintile, cAZT: zidovudine, d3TC: lamivudine, eTDF: tenofovir, fABC: abacavir, g: efavirenz, h: nevirapine