| Literature DB >> 35156425 |
Perrine Roux1, Cécile Donadille1, Gabriel Girard1, Bruno Spire1, Christel Protière1, Annie Velter2.
Abstract
Chemsex-the use of drugs in a sexual context-has been associated with more at-risk sexual practices and substance-related complications in men who have sex with men (MSM). To date, no study has focused on the impact of France's first coronavirus disease 2019 (COVID-19)-related lockdown on the mental health and drug/alcohol use of MSM who practice chemsex. We implemented a web-based survey of 9,488 MSM living in France in June 2020 (after the country's first COVID-19 lockdown). Specifically, we first compared the subpopulation of MSM who self-reported practicing chemsex during their most recent sexual intercourse (defined as "chemsexers") with other MSM, using five outcomes: increased 1/tobacco use, 2/alcohol use, and 3/other psychoactive drug use. 4/using psychotropic medication during the lockdown, and finally 5/psychological distress. We then analyzed the outcomes' associations with the main explanatory variable "chemsexer," after adjusting for all relevant variables. Among 7,195 MSM who had sexual intercourse with a man during the previous 6 months, 359 participants (5%) were identified as "chemsexers." Multivariable analyses showed that during the first lockdown period, chemsexers were significantly more likely than non-chemsexers to have increased their use of tobacco, alcohol, and other psychoactive substances. Chemsexers were also more likely to have used psychotropic medication and to have experienced psychological distress during the previous month. Given the ongoing COVID-19 pandemic in France and worldwide, this finding highlights the need to develop psychosocial interventions and harm reduction services for MSM chemsexers, potentially via mobile health.Entities:
Keywords: COVID-19; chemsex; drug use; gay; mental health; web survey
Mesh:
Year: 2022 PMID: 35156425 PMCID: PMC8848067 DOI: 10.1177/15579883211073225
Source DB: PubMed Journal: Am J Mens Health ISSN: 1557-9883
Figure 1.Flow Chart, ERAS 2020 Study (n = 9,488).
Characteristics of Participants According to Chemsex Group, n (%), ERAS 2020 study (n = 7,195).
| Non-chemsexers | Chemsexers | Total | ||
|---|---|---|---|---|
| Variables | ||||
| Sociodemographics | ||||
| Median age (years) | 31 (24–40) | 35 (27–44) | 31 (24–40) | <.001 |
| Born outside France | 450 (6.6) | 30 (8.4) | 480 (6.7) | .189 |
| Education level ≥ university master’s or doctorate degree | 2,177 (31.8) | 114 (31.8) | 2,291 (31.8) | .971 |
| Living in a large town
| 3,022 (44.2) | 208 (57.9) | 3,230 (44.9) | <.001 |
| Married/in a couple | 4,046 (59.2) | 149 (41.5) | 4,195 (58.3) | <.001 |
| Pre-lockdown employment status | <.001 | |||
| Employed | 4,293 (62.8) | 237 (66.0) | 4,530 (63.0) | |
| Self-employed | 574 (8.4) | 37 (10.3) | 611 (8.5) | |
| Unemployed, receiving active solidarity income, retired or other inactive status | 499 (7.3) | 44 (12.3) | 543 (7.5) | |
| Student | 1,470 (21.5) | 41 (11.4) | 1,511 (21.0) | |
| Frequented gay meeting places for sex before lockdown
| ||||
| Dating sites/geo-localized apps | 5,131 (75.1) | 334 (93.0) | 5,465 (76.0) | <.001 |
| Sex parties | 987 (14.4) | 243 (67.7) | 1,230 (17.1) | <.001 |
| Health | ||||
| HIV seropositive | 344 (5.0) | 76 (21.2) | 420 (5.8) | <.001 |
| HIV testing during the previous 12 months
| 3,550 (54.7) | 227 (80.2) | 3,777 (55.7) | <.001 |
| PrEP use before lockdown
| 801 (12.3) | 128 (45.2) | 929 (13.7) | <.001 |
| Stopped PrEP during lockdown
| 489 (61.0) | 57 (44.5) | 546 (58.8) | <.001 |
| Chronic disease (other than HIV) | 868 (12.7) | 51 (14.2) | 919 (12.8) | .404 |
| Had COVID-19 (whether diagnosed or not, i.e., based on symptoms suggestive of COVID-19) | 998 (14.6) | 60 (16.7) | 1,058 (14.7) | .270 |
| Generalized anxiety disorder syndrome (GAD-7 score ≥10) | 1,392 (20.4) | 82 (22.8) | 1,474 (20.5) | .257 |
| Sexual activity during lockdown | ||||
| With stable partner | 3,390 (49.6) | 138 (38.4) | 3,528 (49.0) | <.001 |
| Number of casual sex partners | <.001 | |||
| None | 5,228 (79.5) | 169 (47.1) | 5,397 (75.0) | |
| One | 608 (8.9) | 23 (6.4) | 631 (8.8) | |
| More than one | 1,000 (14.6) | 167 (46.5) | 1,167 (16.2) | |
| Most recent sexual intercourse with a man (<6 months) | ||||
| Type of partner | <.001 | |||
| Stable | 3,570 (52.2) | 98 (27.3) | 3,668 (51.0) | |
| Casual | 1,811 (26.5) | 150 (41.8) | 1,961 (27.3) | |
| Did not know | 1,455 (21.3) | 111 (30.9) | 1,566 (21.8) | |
| HIV status of partner | <.001 | |||
| Seronegative | 4,872 (71.3) | 193 (53.8) | 5,065 (70.4) | |
| Seropositive | 191 (2.8) | 36 (10.0) | 227 (3.2) | |
| Unknown | 1,773 (25.9) | 130 (36.2) | 1,903 (26.4) | |
| Sexual practices
| ||||
| Fisting or BDSM | 370 (5.4) | 124 (34.5) | 494 (6.9) | <.001 |
| Anal sex | <.001 | |||
| No | 2,142 (31.3) | 64 (17.8) | 2,206 (30.7) | |
| Insertive or receptive | 3,708 (54.2) | 171 (47.6) | 3,879 (53.9) | |
| Both | 986 (14.4) | 124 (34.5) | 1,110 (15.4) | |
| Protected anal sex
| <.001 | |||
| No protection | 2,623 (55.9) | 114 (38.6) | 2,737 (54.9) | |
| Condoms exclusively | 1,490 (31.7) | 48 (16.3) | 1,538 (30.8) | |
| At least
| 99 (2.1) | 28 (9.5) | 127 (2.6) | |
| At least PrEP | 471 (10.0) | 103 (34.9) | 574 (11.5) | |
| Postexposure prophylaxis treatment exclusively | 11 (0.2) | 2 (0.7) | 13 (0.3) | |
| Lockdown-related variables | ||||
| Deterioration in employment situation during lockdown | 1,552 (22.7) | 94 (26.2) | 1,646 (22.9) | .126 |
| Poorer financial situation because of COVID-19 | 1,504 (22.0) | 112 (31.2) | 1,616 (22.5) | <.001 |
| Lived alone during lockdown | 1,728 (25.3) | 129 (35.9) | 1,857 (25.8) | <.001 |
| Outdoor space in accommodation during lockdown (terrace, garden) | 5,146 (75.3) | 229 (63.8) | 5,375 (74.7) | <.001 |
Size of >100,000 inhabitants. bSeveral answers. cFor 6,675 nonseropositive participants (i.e., seronegative or unknown status). dFor 929 participants using PreP. eFor 4,989 participants who had anal sex during their most recent intercourse. fCombined with one or more other prevention tools. COVID-19 = coronavirus disease 2019; Prep = pre-exposure prophylaxis.
Figure 2.Psychotropic Medication Use, Changes in Psychoactive Substance Use, and Psychological Distress According to the “Chemsexer” Variable, ERAS 2020 Study (n = 7,195)
Note. All differences between chemsexers and non-chemsexers were significant at 5%.
Associations Between Chemsex and Each of the Five Study Outcomes: Univariable and Multivariable Logistic Regression Models, ERAS 2020 Study (n = 7,195).
| Outcomes/Models | Outcome 1 | Outcome 2 | Outcome 3 | Outcome 4 | Outcome 5 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Psychotropic medication for sleep or stress relief during lockdown
| Increased tobacco use during lockdown
| Increased alcohol use during lockdown
| Increase in other psychoactive substance use during lockdown
| Psychological distress in the previous month
| ||||||
| OR [95% CI] |
| OR [95% CI] |
| OR [95% CI] |
| OR [95% CI] |
| OR [95% CI] |
| |
| Univariable models | ||||||||||
| Non-chemsexer | Ref | Ref | Ref | Ref | Ref | |||||
| Chemsexer | 2.42 [1.92, 3.04] | <.001 | 2.01 [1.60, 2.52] | <.001 | 1.78 [1.43, 2.21] | <.001 | 8.82 [6.96, 11.16] | <.001 | 1.44 [1.16, 1.79] | .001 |
| Multivariable models | ||||||||||
| Non-chemsexer | Ref | Ref | Ref | Ref | Ref | |||||
| Chemsexer | 2.19 [1.72, 2.80] | <.001 | 1.66 [1.31, 2.11] | <.001 | 1.60 [1.28, 2.01] | <.001 | 6.71 [5.19, 8.68] | <.001 | 1.39 [1.11, 1.74] | .004 |
Notes. a,b,c,d,eModels adjusted for age and poorer COVID-19-related financial situation. a,b,c,dModels adjusted for size of place of residence and generalized anxiety disorder. b,c,dModels adjusted for education level. aModels adjusted for pre-lockdown employment situation, having COVID-19, and having a chronic pathology (excluding HIV). bModels adjusted for pre-lockdown employment situation, being HIV seropositive, and number of casual sex partners during lockdown. cModels adjusted for pre-lockdown employment situation, having lived alone during lockdown, and being HIV seropositive. dModels adjusted for outdoor space in accommodation during lockdown, having COVID-19, being HIV seropositive, and number of casual sex partners during lockdown. eModels adjusted for pre-lockdown employment situation, living alone during lockdown, outdoor space in accommodation during lockdown, having had COVID-19, and having a chronic pathology (excluding HIV). COVID-19 = coronavirus disease 2019; OR = odds ratio; aOR = adjusted OR; 95% CI = 95% confidence interval; p = p value.
Factors Associated With Each of the Five Outcomes: Multivariable Logistic Regression Models, ERAS 2020 Study (n = 7,195).
| Outcome 1 | Outcome 2 | Outcome 3 | Outcome 4 | Outcome 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Psychotropic medication for sleep or stress relief during lockdown | Increased tobacco use during lockdown | Increased alcohol use during lockdown | Increase in other Psychoactive substance use during lockdown | Psychological distress in the previous month | ||||||
| Variables | aOR [95% CI] |
| aOR [95% CI] |
| aOR [95% CI] |
| aOR [95% CI] |
| aOR [95% CI] |
|
| Chemsexer | 2.19 [1.72,2.80] | <.001 | 1.66 [1.31,2.11] | <.001 | 1.60 [1.28, 2.01] | <.001 | 6.71 [5.19, 8.68] | <.001 | 1.39 [1.11,1.74] | .004 |
| Age (continuous) | 1.02 [1.01,1.03] | <.001 | 0.98 [0.97,0.99] | <.001 | 1.01 [1.00, 1.01] | .024 | 0.98 [0.97, 0.99] | <.001 | 0.98 [0.98,0.99] | <.001 |
| Born outside France | ||||||||||
| Education level ≥ university Master’s or doctorate degree | 0.73 [0.64,0.84] | <.001 | 1.14 [1.01, 1.28] | .033 | 0.81 [0.65, 0.99] | .045 | ||||
| Living in a large town
| 1.20 [1.05,1.36] | .007 | 1.22 [1.08,1.38] | .001 | 1.21 [1.08, 1.35] | .001 | 1.32 [1.09, 1.60] | .004 | ||
| Pre-lockdown employment situation | ||||||||||
| Employed | Ref | Ref | Ref | Ref | ||||||
| Self-employed | 0.85 [0.67,1.08] | .193 | 0.91 [0.73,1.12] | .373 | 0.93 [0.77, 1.13] | .479 | 0.71 [0.58,0.87] | .001 | ||
| Unemployed, receiving active solidarity income, retired or other inactive status | 1.69 [1.36,2.09] | <.001 | 0.95 [0.77,1.18] | .660 | 0.67 [0.54, 0.83] | <.001 | 1.80 [1.49,2.17] | <.001 | ||
| Student | 0.86 [0.71,1.05] | .151 | 0.48 [0.40,0.57] | <.001 | 0.61 [0.52, 0.72] | <.001 | 1.63 [1.41,1.89] | <.001 | ||
| Deterioration in employment situation during lockdown | ||||||||||
| Lived alone during lockdown | 0.73 [0.65, 0.83] | <.001 | 1.34 [1.19, 1.51] | <.001 | ||||||
| Poorer financial situation because of COVID-19 | 1.29 [1.11, 1.49] | .001 | 1.74 [1.52, 1.98] | <.001 | 1.43 [1.26, 1.62] | <.001 | 1.67 [1.37, 2.04] | <.001 | 1.96 [1.74, 2.21] | <.001 |
| Outdoor space at accommodation during lockdown (terrace, garden) | 0.74 [0.60, 0.90] | .003 | 0.84 [0.75, 0.95] | .005 | ||||||
| Had COVID-19 (whether diagnosed or not, i.e., based on symptoms suggestive of COVID-19) | 1.27 [1.07, 1.51] | .006 | 1.52 [1.21, 1.90] | <.001 | 1.33 [1.15, 1.52] | <.001 | ||||
| HIV seropositive | 1.50 [1.19, 1.91] | .001 | 1.26 [1.01, 1.57] | .039 | 1.61 [1.15, 2.25] | .005 | ||||
| Chronic disease (excluding HIV) | 2.22 [1.88, 2.62] | <.001 | 1.56 [1.35, 1.82] | <.001 | ||||||
| Number of casual sex partners during lockdown | ||||||||||
| None | Ref | Ref | ||||||||
| One | 1.37 [1.13, 1.67] | .002 | 1.49 [1.10, 2.03] | .011 | ||||||
| More than one | 1.20 [1.02, 1.40] | .025 | 2.07 [1.67, 2.56] | <.001 | ||||||
| Generalized anxiety disorder syndrome (GAD-7 score ≥10) | 3.67 [3.19, 4.22] | <.001 | 1.80 [1.58, 2.06] | <.001 | 1.34 [1.18, 1.53] | <.001 | 1.35 [1.09, 1.66] | .005 | ||
Notes. aOR = adjusted odds ratio; COVID-19 = coronavirus disease 2019; 95% CI = 95% confidence interval; p = p value.
Size of >100,000 inhabitants.