| Literature DB >> 26883009 |
Katie B Biello1,2, Catherine E Oldenburg3, Steven A Safren4, Joshua G Rosenberger5, David S Novak6, Kenneth H Mayer2,7, Matthew J Mimiaga1,2.
Abstract
Latin America has some of the highest levels of antiretroviral therapy (ART) coverage of any developing region in the world. Early initiation and optimal adherence to ART are necessary for improved health outcomes and reduction in onward transmission. Previous work has demonstrated the role of psychosocial problems as barriers to uptake and adherence to ART, and recently, a syndemic framework has been applied to the role of multiple psychosocial syndemic factors and adherence to ART, in the USA. However, to our knowledge, these associations have not been investigated outside of the USA, nor in a multi-country context. To address these gaps, we assessed the association between multiple co-occurring psychosocial factors and engagement in HIV-related medical care and adherence to ART among a large, multinational sample of sexually-active HIV-infected men who have sex with men in Latin America. Among the 2020 respondents, 80.7% reported currently receiving HIV-related medical care, 72.3% reported currently receiving ART; among those, 62.5% reported 100% adherence. Compared with experiencing no psychosocial health problems, experiencing five or more psychosocial health problems is associated with 42% lower odds of currently receiving HIV-related medical care (adjusted odds ratio, aOR = 0.58, 95% CI 0.36, 0.95) and of currently receiving ART (aOR = 0.58, 95% CI 0.38, 0.91). The number of psychosocial health problems experienced was associated with self-reported ART adherence in a dose-response relationship; compared to those with none of the factors, individuals with one syndemic factor had 23% lower odds (aOR = 0.77, 95% CI 0.60, 0.97) and individuals with five or more syndemic factors had 72% lower odds (aOR = 0.28, 95% CI 0.14, 0.55) of reporting being 100% adherent to ART. Addressing co-occurring psychosocial problems as potential barriers to uptake and adherence of ART in Latin America may improve the effectiveness of secondary prevention interventions.Entities:
Keywords: ART; HIV/AIDS; Latin America; men who have sex with men; psychosocial
Mesh:
Year: 2016 PMID: 26883009 PMCID: PMC4828614 DOI: 10.1080/09540121.2016.1146205
Source DB: PubMed Journal: AIDS Care ISSN: 0954-0121
Demographic and other factors, overall (among HIV infected) and by adherence to ARTs (among those on ART).
| Risk factors | Non-missing item totals ( | Overall | 100% Adherent (62.1%) | Not 100% adherent (3 7.9%) | |
|---|---|---|---|---|---|
| Mean (SD) | |||||
| 2020 | 34.9 (9.1) | 37.3 (9.4) | 35.5 (8.2) | .0002 | |
| 2020 | <.0001 | ||||
| Argentina | 275 (13.6) | 146 (16.4) | 59 (10.9) | ||
| Bolivia | 5 (0.3) | 2 (0.2) | 1 (0.2) | ||
| Brazil | 353 (17.5) | 181 (20.4) | 56 (10.3) | ||
| Chile | 215 (10.6) | 83 (9.4) | 66 (12.2) | ||
| Colombia | 255 (12.6) | 89 (10.0) | 89 (16.4) | ||
| Costa Rica | 20 (1.0) | 9 (1.0) | 5 (0.9) | ||
| Ecuador | 27 (1.3) | 14 (1.6) | 8 (1.5) | ||
| El Salvador | 7 (0.3) | 0 (0.0) | 6 (1.1) | ||
| Guatemala | 2 (0.1) | 1 (0.1) | 0 (0.0) | ||
| Honduras | 2 (0.1) | 0 (0.0) | 2 (0.4) | ||
| Mexico | 577 (28.6) | 259 (29.2) | 164 (30.3) | ||
| Nicaragua | 3 (0.2) | 1 (0.1) | 0 (0.0) | ||
| Panama | 23 (1.1) | 10 (1.1) | 8 (1.5) | ||
| Paraguay | 11 (0.5) | 2 (0.2) | 3 (0.6) | ||
| Peru | 73 (3.6) | 21 (2.4) | 23 (4.2) | ||
| Uruguay | 6 (0.3) | 5 (0.6) | 0 (0.0) | ||
| Venezuela | 166 (8.2) | 65 (7.3) | 52 (9.6) | ||
| 2019 | .655 | ||||
| Heterosexual/straight | 5 (0.2) | 2 (0.2) | 1 (0.2) | ||
| Bisexual | 145 (7.2) | 61 (6.9) | 29 (5.4) | ||
| Unsure/questioning/other | 16 (0.8) | 7 (0.8) | 3 (0.5) | ||
| Homosexual/gay | 1853 (91.8) | 818 (92.1) | 508 (93.9) | ||
| 2016 | 0.454 | ||||
| University/Post- Graduate | 1581 (78.4) | 713 (80.4) | 426 (78.7) | ||
| Less than University | 435 (21.6) | 174 (19.6) | 115 (21.3) | ||
| 1991 | 0.235 | ||||
| No income | 70 (3.5) | 21 (2.4) | 15 (2.8) | ||
| Low income/lower class | 176 (8.8) | 64 (7.3) | 52 (9.8) | ||
| Middle income/middle class | 1549 (77.8) | 687 (78.4) | 415 (77.9) | ||
| High income/upper class | 196 (9.8) | 104 (11.9) | 51 (9.6) | ||
| 2020 | 0.854 | ||||
| Urban | 1968 (97.4) | 867 (97.6) | 530 (97.8) | ||
| Rural | 52 (2.6) | 21 (2.4) | 12 (2.2) | ||
| 1762 | 611 (34.7) | 249 (31.7) | 169 (35.6) | 0.159 | |
| 1752 | 223 (12.7) | 78 (9.9) | 49 (10.5) | 0.768 | |
| 1746 | 306 (17.5) | 114 (14.7) | 88 (18.8) | 0.057 | |
| 1783 | 181 (10.2) | 67 (8.4) | 54 (11.3) | 0.086 | |
| 1733 | 825 (47.6) | 356 (46.2) | 247 (52.7) | 0.027 | |
| 1733 | 700 (40.4) | 286 (36.5) | 209 (45.0) | 0.003 | |
| 1709 | 335 (19.6) | 128 (16.7) | 90 (19.7) | 0.175 | |
Frequency and proportion of engagement in HIV care, overall and by number of interconnected psychosocial conditions.
| Number of Psychosocial Health Problems | |||||||
|---|---|---|---|---|---|---|---|
| Overall | 0 | 1 | 2 | 3 | 4 | 5+ | |
| In HIV-related medical care | |||||||
| Yes | 1419 (80.7) | 265 (80.1) | 427 (84.1) | 351 (82.0) | 181 (77.7) | 143 (78.6) | 52 (68.4) |
| No | 339 (19.3) | 66 (19.9) | 81 (15.9) | 77 (18.0) | 52 (22.3) | 39 (21.4) | 24 (31.6) |
| Currently receiving ART | |||||||
| Yes | 1275 (72.3) | 239 (71.6) | 395 (77.8) | 319 (74.0) | 157 (67.7) | 121 (66.5) | 44 (57.9) |
| No | 488 (27.7) | 95 (28.4) | 113 (22.2) | 112 (26.0) | 75 (32.3) | 61 (33.5) | 32 (42.1) |
| 100% Adherent to ARTa | |||||||
| Yes | 794 (62.5) | 167 (70.2) | 242 (61.3) | 211 (66.8) | 89 (56.7) | 69 (57.0) | 16 (36.4) |
| No | 477 (37.5) | 71 (29.8) | 153 (38.7) | 105 (33.2) | 68 (43.3) | 52 (43.0) | 28 (63.6) |
aAmong those who reported currently receiving ART.
Association of interconnection of psychosocial conditions and engagement in HIV care.
| HIV-related medical care | Currently receiving ART | 100% Adherent to ARTa | ||||
|---|---|---|---|---|---|---|
| Number of psychosocial conditions | Adjusted odds ratiob (95% CI) | Unadjusted odds ratio (95% CJ) | Unadjusted odds ratio (95% CI) | Number of psychosocial conditions | Unadjusted odds ratio (95% CI) | Adjusted odds ratiob (95% CI) |
| 0 psychosocial conditions | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 | 1.0 |
| ½ | 1.23 (0.95, 1.61) | 1.22 (0.93, 1.60) | 1.26 (0.99, 1.61) | 1.27 (0.98, 1.64) | ||
| 3/4 | 0.89 (0.62, 1.26) | 0.88 (0.63, 1.24) | 0.81 (0.62, 1.06) | 0.82 (0.63, 1.05) | ||
| 5+ psychosocial conditions | ||||||
| Linear trend (0–7) | ||||||
Note: Bolded values indicate p < 0.05.
aAmong those who reported currently receiving ART.
bAdjusted for all personal characteristics listed in Table 1 and for clustering by country of residence (using GEE).