| Literature DB >> 35573017 |
Yangyang Gao1,2,3,4, Qinghai Hu1,2,3,4, Sequoia I Leuba5, Le Jia1,2,3,4, Hongyi Wang1,2,3,4, Xiaojie Huang6, Yaokai Chen7, Hui Wang8, Jing Zhang1,2,3,4, Zhenxing Chu1,2,3,4, Lukun Zhang8, Zixin Wang9, Hong Shang1,2,3,4, Junjie Xu1,2,3,4.
Abstract
Background: The coronavirus disease (COVID-19) pandemic has impacted HIV prevention strategies globally. However, changes in pre-exposure prophylaxis (PrEP) adherence and HIV-related behaviors, and their associations with medication adherence among men who have sex with men (MSM) PrEP users remain unclear since the onset of the COVID-19 pandemic.Entities:
Keywords: COVID-19; adherence–compliance–persistence; condomless anal intercourse (CAI); men who have sex with men (MSM); pre-exposure prophylaxis (PrEP)
Year: 2022 PMID: 35573017 PMCID: PMC9100828 DOI: 10.3389/fmed.2022.738541
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Study profile.
Characteristics of Chinese MSM PrEP users during the COVID-19 pandemic (N = 791).
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| Daily | 418 (52.8) |
| Event-driven | 373 (47.2) |
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| 18-24 | 130 (16.4) |
| 25-39 | 534 (67.5) |
| 40-65 | 127 (16.1) |
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| High school and below | 161 (20.4) |
| College and above | 630 (79.6) |
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| <2,000 | 129 (16.3) |
| 2,001-6,000 | 301 (38.1) |
| 6,001-10,000 | 153 (19.3) |
| More than 10,000 | 208 (26.3) |
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| Not married | 499 (63.1) |
| Married or cohabitating with a woman | 61 (7.7) |
| Cohabitating with a male | 203 (25.7) |
| Divorced, separated, or widowed | 28 (3.5) |
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| Homosexual | 641 (81.0) |
| Bisexual | 126 (15.9) |
| Heterosexual | 3 (0.4) |
| Not sure | 21 (2.7) |
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| Yes | 740 (93.6) |
| No | 51 (6.4) |
Data are from the additional online survey administered during the COVID-19 pandemic.
MSM, men who have sex with men; PrEP, pre-exposure prophylaxis; COVID-19, Coronavirus disease 2019.
Lockdown restrictions include physical distancing of two meters when individuals have to leave their homes, community restrictions, and the banning of indoor gatherings.
Changes in sexual behaviors, HIV testing, and PrEP adherence among during compared to before the COVID-19 (N = 791).
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| Internet | 478 (60.4) | 200 (25.3) | 0.22 (0.18, 0.27) | <0.001 |
| Park/Bathroom/Club | 49 (6.2) | 6 (0.8) | 0.12 (0.05, 0.27) | <0.001 |
| Had regular or no male sexual partners | 264 (33.4) | 585 (74.0) | 5.68 (4.60, 701) | <0.001 |
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| More than once a week | 413 (52.2) | 125 (15.8) | 0.17 (0.14, 0.21) | <0.001 |
| Once a week or less than once a week | 321 (40.6) | 224 (28.3) | 0.58 (0.47, 0.72) | <0.001 |
| No sex | 57 (7.2) | 442 (55.9) | 16.31 (12.04, 22.10) | <0.001 |
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| Had two or more male sexual partners | 536 (67.8) | 136 (17.2) | 0.10 (0.08, 0.12) | <0.001 |
| Had regular male sexual partners | 467 (59.0) | 249 (31.5) | 0.32 (0.26, 0.39) | <0.001 |
| Had casual male sexual partners | 317 (40.1) | 134 (16.9) | 0.30 (0.24, 0.38) | <0.001 |
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| Consistently | 220 (47.1) | 121 (48.6) | 1.05 (0.79, 1.44) | 0.745 |
| Most or sometimes | 192 (41.1) | 64 (25.7) | 0.05 (0.36, 0.70) | <0.001 |
| Never | 55 (11.8) | 64 (25.7) | 2.61 (1.76, 2.87) | <0.001 |
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| Consistently | 167 (52.7) | 74 (55.2) | 1.13 (0.75, 1.71) | 0.566 |
| Most or sometimes | 136 (42.9) | 48 (35.8) | 0.73 (0.348, 1.11) | 0.143 |
| Never | 14 (4.4) | 12 (9.0) | 2.09 (0.92, 4.72) | 0.077 |
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| 315 (39.8) | 191 (24.1) | 0.21(0.17, 0.26) | <0.001 |
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| Had HIV test | 396 (50.1) | 205 (25.9) | 0.35 (0.28, 0.43) | <0.001 |
| Had HIV test through HIVST | 273 (34.5) | 164 (20.7) | 0.50 (0.40, 0.61) | <0.001 |
| Had facility–based HIV testing | 213 (26.9) | 51 (6.4) | 0.19 (0.13, 0.26) | <0.001 |
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| Daily | 410 (51.8) | 418 (52.8) | 1.04 (0.86, 1.26) | 0.682 |
| Event-driven | 381 (48.2) | 373 (47.2) | 0.96 (0.79, 1.17) | 0.682 |
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| 774 (97.9) | 510 (64.5) | 0.04 (0.02, 0.07) | <0.001 |
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| 187 (23.6) | 396 (50.1) | 3.24 (2.62, 4.02) | <0.001 |
| 79 (10.0) | 115 (14.5) | 1.54 (1.13, 2.08) | 0.006 | |
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| No risk | 160 (20.2) | 367 (46.4) | 3.41 (2.72, 4.28) | <0.001 |
| Low risk (<25%) | 419 (53.0) | 315 (39.8) | 0.59 (0.48, 0.72) | <0.001 |
| Moderate risk (25–49%) | 142 (18.0) | 68 (8.6) | 0.43 (0.32, 0.58) | <0.001 |
| High risk (50–75%) | 52 (6.6) | 24 (3.0) | 0.45 (0.27, 0.72) | 0.001 |
| Very high risk (>75%) | 18 (2.3) | 17 (2.1) | 0.94 (0.49, 1.82) | 0.862 |
ALL data are among Chinese MSM PrEP users.
COVID-19, coronavirus disease 2019; MSM, men who have sex with men; PrEP, pre-exposure prophylaxis; HIVST, HIV self-testing.
CROPrEP, China Real-world Oral Intake of PrEP.
Before COVID-19 estimates were determined from the 4th week follow-up visit of the China Real-world Oral Intake of PrEP (CROPrEP) project conducted between October 2018 to November 2019.
Sexual acts included receptive anal intercourse, insertive anal intercourse, and oral intercourse.
Only people with regular or casual partners answered the question.
Sexualized drug use in the past month included use of rush poppers (alkyl nitrites), cocaine, methamphetamine, ketamine, and bath salts before or during sexual activity.
Factors correlated with poor adherence to PrEP among Chinese MSM PrEP users during the COVID-19 (N = 791).
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| Event-driven | 192 (48.5) | 181 (45.8) | 1.11 (0.84, 1.47) | 1.09 (0.82, 1.45) | 0.560 |
| Daily | 204 (51.5) | 214 (54.2) | Reference | Reference | |
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| Married or cohabitating with a woman | 45 (11.4) | 16 (4.1) | 3.10 (1.70, 5.63) | 3.08 (1.60, 5.95) | 0.001 |
| Cohabitating with male | 98 (24.7) | 105 (26.6) | 1.03 (0.74, 1.43) | 1.00 (0.72, 1.40) | 0.973 |
| Divorced, separated, or widowed | 15 (3.8) | 13 (3.3) | 1.36 (0.64, 2.88) | 1.43 (0.64, 3.18) | 0.382 |
| Not married | 238 (60.1) | 261 (66.1) | Reference | Reference | |
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| No male sexual partner | 197 (49.7) | 173 (43.8) | 1.48 (1.05, 2.09) | 1.47 (1.04, 2.09) | 0.030 |
| Park/Bathroom/Club | 3 (0.8) | 3 (0.8) | 1.30 (0.26, 6.59) | 1.02 (0.20, 5.26) | 0.985 |
| Had regular male sexual partners | 109 (27.5) | 106 (26.8) | 1.34 (0.91, 1.97) | 1.27 (0.86, 1.88) | 0.224 |
| Internet | 87 (22.0) | 113 (28.6) | Reference | Reference | |
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| Yes | 65 (16.4) | 71 (18.0) | 0.90 (0.62, 1.30) | 0.83 (0.57, 1.20) | 0.333 |
| No | 331 (83.6) | 324 (82.0) | Reference | Reference | |
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| Yes | 130 (32.8) | 119 (30.1) | 1.13 (0.84, 1.53) | 1.07 (0.79, 1.45) | 0.665 |
| No | 266 (67.2) | 276 (69.9) | Reference | Reference | |
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| Yes | 61 (15.4) | 73 (18.5) | 0.80 (0.55, 1.17) | 0.79 (0.55, 1.15) | 0.224 |
| No | 335 (84.6) | 322 (81.5) | Reference | Reference | |
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| Consistently | 71 (54.6) | 50 (42.0) | 2.22 (1.19, 4.11) | 2.19 (1.16, 4.13) | 0.016 |
| Most or sometimes | 34 (26.2) | 30 (25.2) | 1.77 (0.88, 3.57) | 1.74 (0.84, 3.61) | 0.135 |
| Never | 25 (19.2) | 39 (32.8) | Reference | Reference | |
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| Consistently | 34 (55.7) | 40 (54.8) | 0.85 (0.25, 2.88) | 0.96 (0.28, 3.35) | 0.951 |
| Most or sometimes | 21 (34.4) | 27 (37.0) | 0.78 (0.22, 2.76) | 0.82 (0.23, 3.00) | 0.769 |
| Never | 6 (9.8) | 6 (8.2) | Reference | Reference | |
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| Yes | 95 (39.4) | 72 (30.9) | 1.46 (1.00, 2.13) | 1.44 (0.98, 2.11) | 0.065 |
| No | 146 (60.6) | 161 (69.1) | Reference | Reference | |
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| No | 304 (76.8) | 282 (71.4) | 1.32 (0.96, 1.82) | 1.38 (1.00, 1.91) | 0.050 |
| Yes | 92 (23.2) | 113 (28.6) | Reference | Reference | |
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| Increase | 6 (1.5) | 7 (1.8) | 0.93 (0.31, 2.79) | 0.87 (0.29, 2.66) | 0.809 |
| Decrease | 111 (28.0) | 86 (21.8) | 1.40 (1.00, 1.93) | 1.46 (1.05, 2.03) | 0.026 |
| No change | 279 (70.5) | 302 (76.5) | Reference | Reference | |
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| Never | 2 (0.5) | 1 (0.3) | 2.52 (0.23, 28.09) | 2.90 (0.25, 33.44) | 0.393 |
| Sometimes | 59 (14.9) | 44 (11.1) | 1.69 (1.08, 2.65) | 1.74 (1.11, 2.75) | 0.017 |
| Often | 193 (48.7) | 171 (43.3) | 1.42 (1.05, 1.92) | 1.45 (1.07, 1.97) | 0.017 |
| Always | 142 (35.9) | 179 (45.3) | Reference | Reference | |
COVID-19, coronavirus disease 2019; MSM, men who have sex with men; PrEP, pre-exposure prophylaxis.
Adjusted odds ratios were obtained through multivariable analysis and were adjusted for age, education, and monthly income.
Internet include geosocial networking applications including WeChat, QQ, Blued or Jacked.
Concerned about the COVID-19 pandemic was defined as how often obtaining information about COVID-19 through social media and other material proactively.