Literature DB >> 30586420

Non-consensual condom removal, reported by patients at a sexual health clinic in Melbourne, Australia.

Rosie L Latimer1, Lenka A Vodstrcil1,2, Christopher K Fairley1,2, Vincent J Cornelisse1,2, Eric P F Chow1,2, Tim R H Read1,2, Catriona S Bradshaw1,2.   

Abstract

BACKGROUND: Non-consensual removal of condoms, colloquially referred to as 'stealthing', is the removal of a condom during sex by a sexual partner when consent has been given for sex with a condom only.
METHODS: We conducted a cross-sectional survey to determine how commonly women and men who have sex with men (MSM) attending Melbourne Sexual Health Centre had experienced stealthing, and analysed situational factors associated with the event. Responses were linked to demographic information extracted from patient files.
RESULTS: 1189 of 2883 women (41.2%), and 1063 of 3439 MSM (30.9%) attending the clinic during the study period completed the survey. Thirty-two percent of women (95% CI: 29%,35%) and 19% of MSM (95% CI: 17%,22%) reported having ever experienced stealthing. Women who had been stealthed were more likely to be a current sex worker (Adjusted Odds Ratio [AOR] 2.87, 95% CI: 2.01,4.11, p <0.001). MSM who had experienced stealthing were more likely to report anxiety or depression (AOR 2.13, 95% CI: 1.25,3.60, p = 0.005). Both female and male participants who had experienced stealthing were three times less likely to consider it to be sexual assault than participants who had not experienced it (OR 0.29, 95% CI: 0.22,0.4 and OR 0.31, 95% CI: 0.21,0.45 respectively).
CONCLUSIONS: A high proportion of women and MSM attending a sexual health service reported having experienced stealthing. While further investigation is needed into the prevalence of stealthing in the general community, clinicians should be aware of this practice and consider integrating this question into their sexual health consultation. Understanding situational factors would assist in the development of preventive strategies, particularly female sex workers and MSM.

Entities:  

Mesh:

Year:  2018        PMID: 30586420      PMCID: PMC6306234          DOI: 10.1371/journal.pone.0209779

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Non-consensual removal of condoms, colloquially referred to as ‘stealthing’[1] or ‘stealth-breeding’ [2], refers to the practice of a sexual partner covertly removing a condom, when consent has been given for condom protected sex only [1]. Condoms are used as a primary preventative method of protecting against sexually transmitted infections (STI), human immunodeficiency virus (HIV) and pregnancy, being 80 to 98.6% effective [3-5]. Stealthing may result in the transmission of STIs, HIV, or unintended pregnancy, and could have significant personal and public health implications. Studies of undergraduate students have found consent for sexual intercourse to be mostly communicated through non-verbal means [6, 7], with consent for sexual intercourse often implied in the process of asking for or applying a condom [6]. Brodsky has argued that condom removal without mutual agreement violates consent to sex [1]. In young adult heterosexual relations, it is common for male partners to engage in condom resistance tactics [8]. Several studies have identified stealthing as a method of birth control sabotage [9, 10], as well as a means of intentional HIV transmission [11]. Anecdotal research by Brodsky focusing on heterosexual and heteronormative relations, and theoretical research by Brennan focusing on condom-less sex between men, argue these are not the primary motivators for this act [1, 2]. In spite of public interest in stealthing, there are no scientific articles that investigate how common it is, who is most at risk, and the outcomes for those who report being stealthed. We aimed to investigate the proportion of sexual health centre patients reporting nonconsensual removal of condoms: 1) among heterosexual women and 2) among men who have sex with men, as well as associated risk factors. For the purpose of this study, ‘stealthing’ was defined as condom removal without consent, where consent to sex was conditional upon use of a condom.

Methods

Population and setting

This was a cross-sectional questionnaire-based study conducted amongst women and gay and other men who have sex with men (MSM) attending the Melbourne Sexual Health Centre (MSHC) in Victoria, Australia, between the 22nd December 2017 and the 22nd February 2018. MSHC is the largest public sexual health service in Victoria, Australia. The centre provides around 50,000 consultations every year, 37% with women and 36% with MSM [12]. Clinic attendees routinely complete a computer assisted self-interview (CASI) about their sexual history prior to seeing a triage nurse.

Study measurement

Women and MSM presenting to MSHC, aged 18 or over, were invited to complete an electronic questionnaire containing questions about stealthing after completing CASI. Participants read a patient information and consent form which detailed the nature of the survey, and patients could only commence the questionnaire after ticking a box stating ‘Yes- willing to help’. Due to the potential of the questionnaire to cause distress when recalling the stealthing event, the participant information included advertisement of free counselling services available at MSHC and elsewhere. The Alfred Hospital Ethics Committee approved the study (number 494/17). Age, number of sexual partners, and HIV status were extracted electronically from routinely collected clinic records for respondents and non-respondents, de-identified for non-respondents, and linked to questionnaire responses for respondents (Fig 1).
Fig 1

Possible pathways for patients offered the survey, and the classification for analysis of nonconsensual condom removal.

Abbreviations: MSM = men who have sex with men; CASI = computer assisted self-interviewing. aParticipants were classified as never having experienced stealthing if they responded either: 1) they had never had a condom removed during sex, 2) that a condom had been removed with permission, or 3) that a condom was removed without permission but they willingly continued sex. bParticipants were deemed to have experienced stealthing if they reported: 4) condom removal without permission and sex continued unwillingly, 5) condom removal without permission and sex was discontinued, 6) condom removal during sex but they did not realise until afterwards, or 7) the condom was never put on despite being requested.

Possible pathways for patients offered the survey, and the classification for analysis of nonconsensual condom removal.

Abbreviations: MSM = men who have sex with men; CASI = computer assisted self-interviewing. aParticipants were classified as never having experienced stealthing if they responded either: 1) they had never had a condom removed during sex, 2) that a condom had been removed with permission, or 3) that a condom was removed without permission but they willingly continued sex. bParticipants were deemed to have experienced stealthing if they reported: 4) condom removal without permission and sex continued unwillingly, 5) condom removal without permission and sex was discontinued, 6) condom removal during sex but they did not realise until afterwards, or 7) the condom was never put on despite being requested. The questionnaire asked whether the participant had ever had a condom removed during sex with or without permission and at what point the participant noticed. Participants could choose from a hierarchy of seven responses describing the circumstances. Multiple responses were allowed for those reporting multiple occurrences, and there was no time limit applied to the reported event. Participants were deemed not to have experienced stealthing if they responded either: 1) they had never had a condom removed during sex, 2) that a condom had been removed with permission, or 3) that a condom was removed without permission but they willingly continued sex. Participants were deemed to have experienced stealthing if they reported: 4) condom removal without permission and sex continued unwillingly, 5) condom removal without permission and sex was discontinued, 6) condom removal during sex but they did not realise until afterwards, or 7) the condom was never put on despite being requested. If a participant only selected options between 1 and 3 they were classified as never having been stealthed. If a participant selected any option between 4–7, regardless of whether they had also selected options between 1 and 3, they were classified as ever having been stealthed (Fig 1). Participants who reported stealthing were asked further questions about the specific event (Fig 1). Participants who had selected multiple options were asked about the incident with the highest assigned number. For instance if they reported several stealthing events with differing scenarios and selected both response 4 and 5, then specific questions were asked about “event 5” only–i.e. condom removal without permission and sex was discontinued. Questions included: when the incident occurred, how long they had known the partner, how they would describe the relationship, where they had met, whether either person had been using drugs or alcohol, whether the event was reported to the police, and what they perceived were the consequences of the condom removal. All respondents were asked whether they considered the removal of a condom without consent to be sexual assault.

Statistical analysis

All analyses were performed using Stata IC version 14. MSM who reported only insertive anal sex and no receptive anal sex while completing CASI were excluded from the dataset prior to analysis of questionnaire responses, as experiencing stealthing was considered unlikely if the male was only the insertive partner. Risk factors for experiencing stealthing in women and MSM were not compared to each other as they are different populations. Univariable and multivariate analyses were performed to determine the differences in demographics between non-respondents and respondents, and the differences between those who had and had not experienced stealthing. Variables were included in multivariate models if the p-value was ≤0.1; if correlated, the variable most strongly associated with the outcome was used. Models were built in a backward-stepwise fashion, using the likelihood ratio test to determine the significance of the contribution of each variable. Ninety-five percent binomial confidence intervals (CIs) were calculated for all proportions. We assumed 100 patients would complete the survey each week and estimated 2% would report ever being stealthed. The 95% confidence interval around an estimated 2% prevalence of stealthing after six weeks (600 responses) would be 1.0%, 3.5%.

Results

During the study period, 2883 women and 3439 MSM attended the clinic, of whom 1189 women (41%, 95%CI: 39%,43%) and 1063 MSM (31%, 95%CI: 29%,32%) completed the survey (classified as respondents). Female respondents were more likely than non-respondents to have had sex overseas in the last twelve months (adjusted odds ratio [AOR] 1.49, 95% CI: 1.26,1.77, p<0.001) and were less likely to be a current sex worker (AOR 0.78, 95% CI: 0.63,0.96, p = 0.02) (Table 1). Compared to MSM non-respondents, the men who responded were more likely to have had sex overseas in the last twelve months (AOR 1.70, 95% CI: 1.37,2.11, p<0.001), and were less likely to be HIV positive (AOR 0.60, 95% CI: 0.38,0.95, p = 0.029) (Table 1).
Table 1

Demographics and epidemiological features of respondents versus non-respondents to survey on rates of non-consensual removal of condoms (stealthing) in a STI clinic (N = 6322).

  Female non-respondents n = 1694 (%; 95% CI) or median [range]Female respondents n = 1189 (%; 95% CI) or median [range]Unadjusted Odds Ratio (95% CI)p-valueAdjusted Odds Ratioa (95% CI)p-value
Age27[16–74]26[18–64]
Employment
Employed958(60; 57,62)689(60; 57,62)1
Not in the labour forceb641(40; 38,43)467(40; 38,43)1.01(0.87,1.18)0.87
Aboriginal and/or Torres Strait Islander peoples
No1479(99; 98,99)1074(99; 98,99)1
Yes16(1; 0,2)14(1; 1,2)1.20(0.59,2.48)0.613
Sex overseas
No817(60; 57,62)485(48; 45,52)11
Yes552(40; 38,43)517(52; 48,55)1.58(1.35,1.86)<0.0011.49(1.26,1.77)<0.001
Injecting drug use
Never injected1420(98; 97,99)1023(98; 97,99)1
Ever injected26(2; 1,3)22(2; 1,3)1.17(0.66,2.08)0.582
Current sex worker
No1095(76; 74,78)856(82; 79,84)11
Yes348(24; 22,26)191(18; 16,21)0.70(0.58,0.86)<0.0010.78(0.63,0.96)0.020
Condom Use in the last 3mo with male partners
Not always1014(83; 81,85)765(82; 80,85)1
Always204(17; 15,19)163(18; 15,20)1.06(0.84,1.33)0.619
Number of male sexual partners in the last 3mo1[0–50]1[0–15]   
  Male non-respondents n = 2376 (%; 95% CI) or median [range]Male respondents n = 1063 (%; 95% CI) or median [range]Unadjusted Odds Ratio (95% CI)p-valueAdjusted Odds Ratioc (95% CI)p-value
Age30[16–82]30[18–75]
Employment
Employed1480(67; 65,69)644(64; 61,67)1
Not in the labour forceb742(33; 31,35)361(36; 33,39)1.12(0.96,1.31)0.161
Aboriginal and/or Torres Strait Islander peoples
No2114(99; 98,99)978(99; 99,100)11
Yes26(1; 1,2)5(1; 0,1)0.42(0.16,1.09)0.0730.64(0.21,1.97)0.441
Sex overseas
No1365(70; 69,72)542(61; 58,64)11
Yes587(30; 28,32)345(39; 36,42)1.48(1.25,1.75)<0.0011.70(1.37,2.11)<0.001
Injecting drug use
Never injected2048(96; 96,97)914(97; 96,98)1
Ever injected75(4; 3,4)28(3; 2,4)0.84(0.55,1.3)0.428
Current sex worker
No2126(>99; 99,100)933(99; 98,99)11
Yes9(<1; 0,1)10(1; 1,2)2.53(1.03,6.25)0.0442.72(0.97,7.59)0.057
Condom Use in the last 3mo with male partners
Not always1379(74; 72,76)616(71; 68,74)1
Always492(26; 24,29)246(29; 26,32)1.12(0.93,1.34)0.220
HIV status
Negative1279(91; 90,93)558(95; 92,96)11
Positive119(9; 7,10)32(5; 4,8)0.62(0.41,0.92)0.0190.61(0.38,0.97)0.038
Use of prep
No1844(81; 79,82)861(83; 81,85)1
Yes436(19; 18,21)174(17; 15,19)0.85(0.70,1.04)0.112
Number of male sexual partners in the last 3mo3[0–100]3[0–140]      

Abbreviations: n = number; CI = confidence interval; mo = months; HIV = human immunodeficiency virus; PrEP = HIV pre-exposure prophylaxis

aAdjusted model for females includes: sex overseas and current sex worker

bNot in the labour force includes both those who are unemployed and/or students

cAdjusted model for males includes: Aboriginal and/or Torres Strait Islander peoples, sex overseas, current sex worker and HIV status.

Data missing for: <5% of PrEP data; <5%-10% of employment data; 5–15% of Aboriginal and/or Torres Strait Islander peoples data; 10–15% of current sexworker data; 10%-20% of sex overseas data and injecting drug use data; 15- ≥20% of condom use data; and >20% of HIV data. Proportions are calculated using available data.

Abbreviations: n = number; CI = confidence interval; mo = months; HIV = human immunodeficiency virus; PrEP = HIV pre-exposure prophylaxis aAdjusted model for females includes: sex overseas and current sex worker bNot in the labour force includes both those who are unemployed and/or students cAdjusted model for males includes: Aboriginal and/or Torres Strait Islander peoples, sex overseas, current sex worker and HIV status. Data missing for: <5% of PrEP data; <5%-10% of employment data; 5–15% of Aboriginal and/or Torres Strait Islander peoples data; 10–15% of current sexworker data; 10%-20% of sex overseas data and injecting drug use data; 15- ≥20% of condom use data; and >20% of HIV data. Proportions are calculated using available data. Of the 1189 women and 1063 MSM who consented to the survey and answered the first question: 60 (5%) women and 64 men (6%) declined to answer whether they had experienced stealthing, 45 (4%) women and 37 (3%) men deemed the question to be not applicable to them i.e. they never used condoms, or did not engage in penetrative sex with men and 90 (8%) men were removed from the analysis, as they had only reported insertive anal sex and not reported receptive anal sex in CASI (Table 2).
Table 2

Reported events of non-consensual removal of condoms (stealthing) amongst patients presenting to a STI clinic (N = 2252).

  Female respondents n = 1189 (%; 95% CI)Male respondents n = 1063 (%; 95% CI)
Classified as not experiencing ‘stealthing’
Never stealthed420(35; 33,38)496(47; 44,50)
Condom removed w permission455(38; 35,41)315(30; 27,32)
Condom removed w/o permission but continued willingly104(9; 7,10)77(7; 6,9)
Classified as experiencing ‘stealthing’
Condom removed w/o permission, and continued unwillingly108(9; 8,11)52(5; 4,6)
Condom removed w/o permission, and stopped135(11; 10,13)65(6; 5,8)
Condom removed w/o permission, but didn't realise until afterwards147(12; 11,14)60(6; 4,7)
Condom never put on but had been requested84(7; 6,9)41(4; 3,5)
Removed from further analysis
Not applicableb45(4; 3,5)127(12; 10,14)
 Decline answer60(5; 4,6)64(6; 5,8)

Abbreviations: n = number; CI = confidence interval; w = with; w/o = without.

aPatients could select multiple options, to report multiple events occurring, i.e. events are not mutually exclusive, therefore percentages do not sum to 100. Percentages represent the proportion of participants who have reported the event. If reporting multiple events, patients were classified in the analysis based off the highest numbered event they reported, if 1 is Never and 7 is ‘Condom never put on even though requested’.

bNot applicable refers to patients who have not/do not engaged in penetrative penile sex, includes 97 MSM who responded to survey but reported no receptive anal sex and 30 who selected not applicable.

Abbreviations: n = number; CI = confidence interval; w = with; w/o = without. aPatients could select multiple options, to report multiple events occurring, i.e. events are not mutually exclusive, therefore percentages do not sum to 100. Percentages represent the proportion of participants who have reported the event. If reporting multiple events, patients were classified in the analysis based off the highest numbered event they reported, if 1 is Never and 7 is ‘Condom never put on even though requested’. bNot applicable refers to patients who have not/do not engaged in penetrative penile sex, includes 97 MSM who responded to survey but reported no receptive anal sex and 30 who selected not applicable. Three hundred and forty-six of the remaining 1084 women (32%, 95% CI: 29%,35%) and 168 of the remaining 872 MSM (19%, 95% CI: 17%,22%) reported having ever experienced stealthing (Table 3). Of those who had experienced stealthing, forty-two women (12%, 95% CI: 9%,16%) and 23 MSM (14%, 95% CI: 9%,20%) presented to the clinic on the day of the questionnaire following a reported stealthing incident (Table 4).
Table 3

Risk factors associated with non-consensual removal of condoms (stealthing) in patients presenting to a STI clinic (N = 2042).

  Womenwho have not had been stealthed n = 738 (%; 95% CI) or median [range]Women who have have been stealthed n = 346 (%; 95% CI) or median [range]Unadjusted Odds Ratio (95% CI)p-valueAdjusted Odds Ratio (95% CI)ap-value
Age26[18–58]26[18–55]
Number of male sexual partners in the last 3mo2[0–15]1[0–15]
Employmentb
Employed439(61; 57,65)189(56; 51,62)1
Not in the labour force281(39; 35,43)146(44; 38,49)1.21(0.93,1.57)0.161
Education level
Did not complete high school18(2; 1,4)13(4; 2,6)1
High school/Certificate/Diploma238(33; 29,36)134(39; 34,45)0.78(0.37,1.64)0.512
University degree475(65; 61,68)195(57; 52,62)0.57(0.35,1.47)0.131
Aboriginal and/or Torres Strait Islander peoples
No672(99; 98,99)319(98; 96,99)1
Yes8(1; 1,2)5(2; 1,4)1.31(0.43,4.06)0.632
Australian/New Zealander
No441(63; 59,66)166(51; 45,56)1
Yes264(37; 34,41)160(49; 44,55)1.61(1.23,2.09)<0.0011.26(0.94,1.70)0.122
Current sex worker
No573(87; 85,90)215(71; 65,76)1
Yes83(13; 10,15)89(29; 24,35)2.86(2.04,4.01)<0.0012.87(2.01,4.11)<0.001
Injecting drug use
Never injected644(98; 97,99)295(97; 95,99)1
Ever injected11(2; 1,3)8(3; 1,5)1.59(0.63,3.99)0.325
Sex overseas
No303(47; 44,51)136(47; 41,53)1
Yes335(53; 49,56)153(53; 47,59)1.02(0.77,1.34)0.903
Use other contraceptives in addition to condomsc
No293(46; 42,50)112(47; 40,53)1
Yes339(54; 50,58)128(53; 47,60)0.94(0.733,1.33)0.936
  MSM who have not been stealthed n = 704 (%; 95% CI) or median [range]MSM who have been stealthed n = 168 (%, 95% CI) or median [range]Unadjusted Odds Ratio (95% CI)p-valueAdjusted Odds Ratio (95% CI)dp-value
Age30[18–75]29[18–58]
Number of male sexual partners in the last 3mo3[0–140]3[0–100]
Employment
Employed435(65; 61,69)98(61; 53,68)1
Not in the labour force232(35; 31,39)63(39; 32,47)1.20(0.85,1.72)0.302
Education level
Did not complete high school24(3; 2,5)7(4; 2,8)1
High school/Certificate/Diploma183(26; 23,30)34(20; 14,27)0.64(0.25,1.60)0.336
University degree494(70; 67,74)127(76; 68,82)0.88(0.37,2.09)0.775
Aboriginal and/or Torres Strait Islander peoples
No701(100; 99,100)166(99; 97,100)1
Yes2(0; 0,1)1(1; 0,3)2.11(0.19,23.42)0.543
Australian/New Zealander
No343(50; 46,54)83(49; 42,57)1
Yes342(50; 46,54)85(51; 43,58)1.03(0.73,1.44)0.877
Current sex worker
No622(99; 98,100)151(99; 95,100)1
Yes5(1; 0,2)2(1; 0,5)1.65(0.32,8.57)0.553
Injecting drug use
Never injected611(97; 96,98)145(96; 92,99)1
Ever injected18(3; 2,4)6(4; 1,8)1.4(0.55,3.60)0.480
Sex overseas
No354(60; 56,64)82(57; 49,66)1
Yes237(40; 36,44)61(43; 34,51)1.11(0.77,1.61)0.577
HIV status
No375(95; 93,97)96(2; 85,97)1
Yes19(5; 3,7)8(8; 3,15)1.64(0.70,3.87)0.255
Use of prep
No582(84; 81,87)126(78; 71,84)11
Yes110(16; 13,19)35(22; 16,29)1.47(0.96,2.25)0.0771.16(0.70,1.92)0.567
Drugs use with anal sex w/o a condom in the last 12moe
No222(58; 53,63)58(55; 45,64)1
Yes162(42; 37,47)48(45; 36,55)1.13(0.74,1.75)0.569
Drunk during anal sex w/o a condom in the last 12moe
No219(57; 52,62)53(50; 41,60)1
Yes166(43; 38,48)52(50; 40,59)1.29(0.84,1.99)0.242
Anal sex w/o a condom with known HIV positive in the last 12moe
No319(83; 79,87)83(82; 73,89)1
Yes65(17; 13,21)18(18; 11,27)1.06(0.60,1.89)0.832
Anal sex w/o a condom with someone of unknown HIV status in the last 12moe
No189(50; 45,55)39(38; 29,48)11
Yes190(50; 45,55)63(62; 52,71)1.61(1.03,2.51)0.0381.51(0.96,2.39)0.075
Self-reported health issues, such as anxiety or depression, which may have affected your decision to use condoms for anal sex?e
No318(85; 81,89)74(73; 63,81)11
Yes55(15; 11,19)28(27; 19,37)2.19(1.30,3.68)0.0032.13(1.25,3.6)0.005

Abbreviations: n = number; CI = confidence interval; mo = months; MSM = men who have sex with men; HIV = human immunodeficiency virus; PrEP = HIV pre-exposure prophylaxis; w/o = without

aAdjusted model for females includes: Australian and current sex worker

bNot in the labour force includes both those who are unemployed and/or students

cWomen who reported not using contraception due to pregnancy were excluded (2 females who did not have condoms removed, and 10 who did).

dAdjusted model for males includes: use of prep, condom use with someone of uncertain HIV status, health issues (anxiety & depression) affecting decisions to use condoms.

eThese questions were asked only to patients who had reported unprotected anal sex since their last HIV test as part of their routine computer assisted self-interviewing (CASI).

Data missing for: <5% of employment data, education data and PrEP data; <5%-10% of Aboriginal and/or Torres Strait Islander peoples data and Australian data; 10%-15% of injecting drug use data and current sex worker data, 10%-20% sex overseas data; 10- ≥20% contraception data; and ≥20% of HIV status and questions on issues affecting decisions to use condoms. Proportions are calculated using available data.

Table 4

Situational factors surrounding non-consensual removal of condoms (stealthing) reported by patients presenting to a STI clinic (N = 523).

  Womenn = 346 (%; 95% CI)MSMn = 168 (%; 95% CI)
When the incident occurred
Here today for this reason42(12; 9,16)23(14; 9,20)
In the last 3mo59(17; 13,22)20(12; 7,18)
3–12 mo ago78(23; 18,28)35(21; 15,28)
More than 12 months ago120(35; 30,40)78(46; 39,54)
More than 1 occasion43(13; 9,17)12(7; 4,12)
Relationship
Did not know him well101(30; 25,36)102(61; 54,69)
Friend33(10; 7,14)10(6; 3,11)
Friend with benefits/ Sex buddy51(15; 12,20)30(18;13,25)
Casually dating54(16; 12,21)22(13; 8,19)
Relationship25(8; 5,11)2(1; 0,4)
Client (of sex worker)69(21; 16,25)0(0; 0,2)a
Relationship duration
Less than a day (<24hrs)126(38; 33,44)85(52; 44,59)
One day to one month95(29; 24,34)39(24; 17,31)
More than one month107(33; 28,28)41(25; 18,32)
Met through
Smartphone dating app/Internet64(20; 15,24)110(67; 59,74)
(Gay) bar or party50(15; 12,20)20(12; 8,18)
Gay sauna, beats of SOPV, sex party2(1; 0,2)24(15; 10,21)
Friend, or friend of friend94(29; 24,34)6(4; 1,8)
Co-workers22(7; 4,10)3(2; 0,5)
Sex work76(23; 19,28)0(0; 0,2)a
Travel15(5; 3,7)0(0; 0,2)a
Other (café, park etc.)4(1; 0,3)1(1; 0,3)
Drugs used by partnerbc
None75(27; 22,33)63(53; 44,62)
Alcohol188(68; 62,73)48(40; 31,50)
Cannabis/marijuana/hash28(10; 7,14)4(3; 1,8)
Ecstasy12(4; 2,7)4(3; 1,8)
Speed/ice/meth5(2; 1,4)6(5; 2,11)
GHB2(1; 0,3)3(2; 1,7)
Cocaine10(4; 2,7)3(2; 1,7)
Heroin1(<1; 0,2)0(0; 0,3)a
Other1(<1; 0,2)3(2; 1,7)
Drugs used by respondentbd
None135(41; 36,47)87(54; 46,62)
Alcohol186(57; 51,62)65(41; 33,49)
Cannabis/marijuana/hash21(6; 4,10)3(2; 0,5)
Ecstasy9(3; 1,5)4(3; 1,6)
Speed/ice/meth5(2; 0,4)8(5; 2,9)
GHB2(1; 0,2)3(2; 0,5)
Cocaine8(2; 1,5)4(3; 1,6)
Heroin1(<1; 0,2)0(0; 0,2)a
Other0(0; 0,1)a4(3; 1,6)
Condom removal discussed with partner
No128(39; 33,44)74(45; 37,52)
Yes204(61; 56,67)92(55; 48,63)
Consequences of condom removalb
None85(25; 21,30)62(38; 30,46)
Emotional stress190(56; 51,62)86(52; 45,60)
Caught an STI26(8; 5,11)9(5; 3,10)
Contracted HIV2(1; 0,2)3(2; 0,5)
Fight49(14; 11,19)15(9; 5,15)
Relationship broke up30(9; 6,12)6(4; 1,8)
Other42(12; 9,16)12(7; 4,12)
Reported to the police
No336(99; 97,100)163(98; 95,100)
 Yes3(1; 0,3)3(2; 0,5)

Abbreviations: n = number; CI = confidence interval; MSM = men who have sex with men; mo = months; SOPV = sex on premises venue; GHB = Gamma-hydroxybutyrate; STI = sexually transmitted infection; HIV = human immunodeficiency virus

aone-sided, 97.5% confidence interval

bPatients could select multiple options, to report multiple events occurring, i.e. events are not mutually exclusive, therefore percentages do not sum to 100. Percentages represent the proportion of participants who have reported the event.

c64 women (19%) and 47 MSM (28%) were unsure as to whether or not their partner had used any alcohol and/or other drugs and were removed from the analysis.

d11 women (3%) and 6 MSM (4%) were unsure as to whether or not they had used any alcohol and/or other drugs and were removed from the analysis.

Abbreviations: n = number; CI = confidence interval; mo = months; MSM = men who have sex with men; HIV = human immunodeficiency virus; PrEP = HIV pre-exposure prophylaxis; w/o = without aAdjusted model for females includes: Australian and current sex worker bNot in the labour force includes both those who are unemployed and/or students cWomen who reported not using contraception due to pregnancy were excluded (2 females who did not have condoms removed, and 10 who did). dAdjusted model for males includes: use of prep, condom use with someone of uncertain HIV status, health issues (anxiety & depression) affecting decisions to use condoms. eThese questions were asked only to patients who had reported unprotected anal sex since their last HIV test as part of their routine computer assisted self-interviewing (CASI). Data missing for: <5% of employment data, education data and PrEP data; <5%-10% of Aboriginal and/or Torres Strait Islander peoples data and Australian data; 10%-15% of injecting drug use data and current sex worker data, 10%-20% sex overseas data; 10- ≥20% contraception data; and ≥20% of HIV status and questions on issues affecting decisions to use condoms. Proportions are calculated using available data. Abbreviations: n = number; CI = confidence interval; MSM = men who have sex with men; mo = months; SOPV = sex on premises venue; GHB = Gamma-hydroxybutyrate; STI = sexually transmitted infection; HIV = human immunodeficiency virus aone-sided, 97.5% confidence interval bPatients could select multiple options, to report multiple events occurring, i.e. events are not mutually exclusive, therefore percentages do not sum to 100. Percentages represent the proportion of participants who have reported the event. c64 women (19%) and 47 MSM (28%) were unsure as to whether or not their partner had used any alcohol and/or other drugs and were removed from the analysis. d11 women (3%) and 6 MSM (4%) were unsure as to whether or not they had used any alcohol and/or other drugs and were removed from the analysis. Data missing from up to 5% of female respondents and up to 3% of male respondents; proportions are calculated using available data. On multivariate analysis, women who had been stealthed were more likely to be a current sex worker than those who had never experienced stealthing (AOR 2.87, 95% CI: 2.01,4.11, p<0.001) (Table 3), and MSM who had been stealthed were more likely to report ‘health issues, such as anxiety or depression which may have affected their decision to use condoms for anal sex’ than those who had never experienced stealthing (AOR 2.13, 95% CI: 1.25,3.60, p = 0.005) (Table 3). Most women met the male partner who had stealthed them through friends (29%, 95% CI: 24%,34%) or sex work (23%, 95% CI: 19%,28%). MSM reporting stealthing most commonly described the partner as someone they “did not know well” (61%) and had predominantly met them through geosocial dating applications or online (67%, 95% CI: 59%,74%) (Table 4). At the time of the stealthing incident, 41% (95% CI: 36%,47%) of women and 54% (95% CI: 46%,62%) of MSM reported being sober, while 57% (95% CI: 51%,62%) of women and 41% (95% CI: 33%,49%) of MSM had consumed alcohol. Twelve percent of women and 13% of MSM had used other drugs either in addition to or without alcohol (Table 4). The majority of women reported their partner had consumed alcohol (68%, 95% CI: 62%,73%) and/or other drugs (19%), with only 27% (95% CI: 22%,33%) stating the partner had been sober when the incident occurred. Many MSM believed their partner to be sober (53%, 95% CI: 44%,62%), with 40% (95% CI: 31%,50%) of partners under the influence of alcohol, and 12% using additional/or other drugs (Table 4). The majority of women (61%) and MSM (55%) discussed the removal of the condom with their partners after the event. Over half of the participants reported being emotionally stressed following the incident. Eight percent of women and five percent of MSM reported they thought they had acquired an STI following the event. One percent of women and two percent of MSM believed they had acquired HIV as a consequence of being stealthed (Table 4). Only 1% of people stealthed reported this experience to the police (Table 4). Both female and MSM participants who had experienced stealthing were less likely to consider it to be sexual assault than participants who had not experienced stealthing. Amongst women, 62% (95% CI: 56%,67%) of those stealthed considered it to be assault, compared to 85% (95% CI: 82%,87%) of those not stealthed (OR 0.29, 95%CI: 0.22,0.4, p<0.001). Amongst men, 61% (95% CI: 53%,69%) of those stealthed considered it to be assault versus 84% (95% CI: 81%,86%) of those not stealthed (OR 0.31, 95%CI: 0.21,0.45, p<0.001).

Discussion

Although increasingly discussed in international media, there is little scientific research on non-consensual removal of condoms, popularly termed ‘stealthing’. To our knowledge this is the first study investigating how common stealthing is, the context in which it occurred, the impact on individuals, and how those stealthed perceive the event. A surprising proportion of clients attending a sexual health centre in Melbourne (32% of women and 19% of MSM) reported removal of a condom in a situation where they would not have willingly engaged in sexual intercourse without one—in other words, a violation of their consent [1]. These data need to be interpreted in the context of a STI clinic population which is generally a higher risk group than the general population. Our data show that 4% of women and 3% of MSM presenting to our clinic during the study period were attending following a stealthing incident. This equates to over 1200 consultations per year [12]. These data suggest that stealthing is common and should be considered when assessing patients in STI services. Female respondents were less likely to be a current sex worker and MSM respondents were less likely to be HIV positive, compared to non-respondents. It is possible that both sex workers and HIV positive men were less likely to complete the survey due to privacy concerns, especially with regards to condom use and their legal obligations, which vary state by state in Australia. In Victoria, sex workers are legally required to use condoms with clients[13], and while those who are HIV positive are not legally required to disclose their HIV status, they must take reasonable precautions to prevent HIV transmission to those they are engaging in penetrative sex with[14]. Reasonable precaution refers to correct use of condoms and lube during intercourse. While female sex workers were less represented in respondents than non-respondents, 18% of participants were sex workers and we still observed an association between being a sex worker and being more likely to be stealthed. Low numbers of HIV positive men participating may have limited our ability to examine any association between stealthing and HIV status. Lastly, both women and MSM who had been overseas recently were more likely to respond to our survey. This may bias our findings towards individuals who may have participated due to recent high risk sexual encounters, in the context of overseas travel[15]. Women who experienced stealthing were three times more likely to be sex workers compared to those who had not. In the Law and Sex Worker Health (LASH) Survey conducted in Australia, 8% of respondents reported assault by clients [16]. However the LASH survey did not compare rates of assault to the general population or differentiate between physical and sexual assault, and only examined assault in the workplace. Perkins' (1991) research with Sydney-based brothel workers found that 20% of sex workers experienced rape while working. Outside the workplace sex workers experienced higher levels of sexual assault compared with non-sex workers, with 46.9% reporting rape, compared to 21.9% of health workers and 12.7% of students [17]. Our data are consistent with these findings that sex workers are at increased risk of non-consensual sex acts. Sixty-seven percent of MSM who had experienced stealthing met the partner via geosocial dating applications, for example Grindr, Tinder or Scruff. This is comparable to the number of MSM meeting partners through dating applications (70%) [18]. Sexual encounters initiated online are more likely to include unprotected anal intercourse [19], however it has also been found that meeting partners online increases the likelihood of discussion between partners of preferred sexual practices compared to meeting partners offline [19, 20]. MSM who had been stealthed were twice as likely to report having anxiety or depression. Depressive symptoms and anxiety are predictive of condom non-use [21] and higher levels of depression are related to lower levels of self-efficacy for sexual safety [22]. MSM who have anxiety or depression may be vulnerable to stealthing for this reason. In this study, the majority of women (73%) believed the partner who had stealthed them to be under the influence of alcohol and/or other drugs. In heterosexual relations, the link between alcohol consumption and committal of sexual assault is well documented [23, 24]. Condom resistance tactics and sexual aggression with female partners are more commonly employed by men with history of sexual aggression and alcohol intoxication [25, 26]. Additionally, both alcohol consumption [27] and condom use [28, 29] have been associated with erectile dysfunction. Men with erection issues are more likely to engage in unprotected sex, misuse condoms [28, 29], and are more likely to remove condoms before sex is over (p = 0.001) [29]. Literature supports our finding that heterosexual men who have consumed alcohol may be at increased risk of committing nonconsensual sex acts, and may be removing the condom to maintain an erection. Whilst the majority of those reporting stealthing considered it sexual assault, they were three times less likely to consider stealthing sexual assault than those who had never experienced it. The US National Crime Victimization Survey found 20% of female victim narratives contained excuses for offenders’ behaviour, denials of injury, or justification of the incident as the victims’ fault [30]. This allowed the women to avoid the distress of labelling themselves victims of a crime, or their partners as criminals [30]. Victims of stealthing may also not yet view themselves as sexual assault victims as stealthing is a relatively new topic. Sexual assault is a term with many connotations and there are cultural myths as to who is a ‘real’ sexual victim [31], with the type of violence experienced influencing society’s view as to whether a woman is a victim [32]. Our current language around sexual assault (and in this case, stealthing) may require expansion- until an act is named as assault it cannot be viewed as such, and cannot be reported or legislated against [33]. A limitation of this study is that we did not ask respondents why they did not consider stealthing to be sexual assault. Stealthing has potentially serious consequences. The majority of patients reported consequences following the stealthing incident, with over half experiencing emotional stress. Although literature contains estimates as to the rate of STI and HIV transmission during sexual assault, it is difficult to establish if an STI has been acquired from a specific event. The Centers for Disease Control and Prevention (CDC) guidelines recommend testing all people for STIs following sexual assault [34], with the caveat that many positive tests will be from a pre-existing STI [35]. MSM patients with condom malfunction or condom-less sex presenting in a 72 hour window fulfil criteria for HIV Non-Occupational Post Exposure Prophylaxis (nPEP) [36, 37], and therefore MSM who present reporting non-consensual condom removal should be prescribed it. This study has several limitations. Firstly, this study was offered in English only, which means it cannot be generalised to attendees who are not fluent in English. Secondly, this study may be subject to responder bias, as those who have experienced stealthing may have been more likely to answer the survey. Given this is a retrospective survey, participant responses may be subject to recall bias, and specific contextual situational factors and outcomes were asked about one event only for those stating it had happened on more than one occasion. While some participants within our study attributed the acquisition of STIs to being stealthed, this cannot be verified. According to attribution theory [38] following an adverse event people will make attributions to understand and control their environment[39], with situational factors often exaggerated when there is a negative outcome [40], and thus patients could be incorrectly attributing contracting a STI to the stealthing event. Despite these limitations, this study has a large sample size with over two thousand responses. Accurate statistics describing the prevalence and incidence of sexual assault are difficult to obtain since the majority of assaults are not reported to authorities and victims often do not access services [31]. Only 1% of patients reporting stealthing in this study reported the event to the police. Although this study may be subject to recall bias, population surveys are the best means of learning the true extent and nature of these crimes, rather than relying on crime statistics. This is the first study to describe how commonly this practice is occurring. In summary, stealthing was commonly experienced by our clinic population, with a third of women and a fifth of MSM reporting it, with situational contexts often involving alcohol and/or drugs in women, and geosocial networking applications in MSM. Sex work was a clear risk factor identified among women, and risk factors for MSM included anxiety and depression. Knowledge of these risk factors can enable services to ask about stealthing in target groups and offer specific support and counselling. Further community-based research would help determine the prevalence in the broader population and studies that link behavioural measures to biological outcomes would help to quantify the STI risk associated with this practice.
  25 in total

1.  The influence of alcohol expectancies and intoxication on men's aggressive unprotected sexual intentions.

Authors:  Kelly Cue Davis
Journal:  Exp Clin Psychopharmacol       Date:  2010-10       Impact factor: 3.157

2.  Erection loss in association with condom use among young men attending a public STI clinic: potential correlates and implications for risk behaviour.

Authors:  Cynthia A Graham; Richard Crosby; William L Yarber; Stephanie A Sanders; Kimberly McBride; Robin R Milhausen; Janet N Arno
Journal:  Sex Health       Date:  2006-12       Impact factor: 2.706

3.  Distal and Proximal Influences on Men's Intentions to Resist Condoms: Alcohol, Sexual Aggression History, Impulsivity, and Social-Cognitive Factors.

Authors:  Kelly Cue Davis; Cinnamon L Danube; Elizabeth C Neilson; Cynthia A Stappenbeck; Jeanette Norris; William H George; Kelly F Kajumulo
Journal:  AIDS Behav       Date:  2016-01

4.  Depressive symptoms as a longitudinal predictor of sexual risk behaviors among US middle and high school students.

Authors:  Jocelyn A Lehrer; Lydia A Shrier; Steven Gortmaker; Stephen Buka
Journal:  Pediatrics       Date:  2006-07       Impact factor: 7.124

5.  Non-occupational post-exposure prophylaxis for HIV: 10-year retrospective analysis in Seattle, Washington.

Authors:  Sarah J McDougal; Jeremiah Alexander; Shireesha Dhanireddy; Robert D Harrington; Joanne D Stekler
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

6.  Sexual negotiation, HIV-status disclosure, and sexual risk behavior among Latino men who use the internet to seek sex with other men.

Authors:  Alex Carballo-Diéguez; Michael Miner; Curtis Dolezal; B R Simon Rosser; Scott Jacoby
Journal:  Arch Sex Behav       Date:  2006-08-25

Review 7.  Young men's condom use resistance tactics: a latent profile analysis.

Authors:  Kelly Cue Davis; Cynthia A Stappenbeck; Jeanette Norris; William H George; Angela J Jacques-Tiura; Trevor J Schraufnagel; Kelly F Kajumulo
Journal:  J Sex Res       Date:  2013-04-02

8.  Pregnancy coercion, intimate partner violence and unintended pregnancy.

Authors:  Elizabeth Miller; Michele R Decker; Heather L McCauley; Daniel J Tancredi; Rebecca R Levenson; Jeffrey Waldman; Phyllis Schoenwald; Jay G Silverman
Journal:  Contraception       Date:  2010-01-27       Impact factor: 3.375

9.  A longitudinal examination of male college students' perpetration of sexual assault.

Authors:  Antonia Abbey; Pam McAuslan
Journal:  J Consult Clin Psychol       Date:  2004-10

10.  Generationing, Stealthing, and Gift Giving: The Intentional Transmission of HIV by HIV-Positive Men to their HIV-Negative Sex Partners.

Authors:  Hugh Klein
Journal:  Health Psychol Res       Date:  2014-10-22
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  3 in total

1.  A Prospective Examination of Men's Condom Use Resistance: Event-Level Associations with Sexual Aggression, Alcohol Consumption, and Trait Anger.

Authors:  Cynthia A Stappenbeck; Natasha K Gulati; Kelly Cue Davis
Journal:  J Sex Res       Date:  2019-05-29

2.  Sexual consent and chemsex: a quantitative study on sexualised drug use and non-consensual sex among men who have sex with men in Amsterdam, the Netherlands.

Authors:  Susanne Drückler; Jilke Speulman; Martijn van Rooijen; Henry J C De Vries
Journal:  Sex Transm Infect       Date:  2021-04-08       Impact factor: 3.519

3.  Condoms, Trust and Stealthing: The Meanings Attributed to Unprotected Hetero-Sex.

Authors:  Najiha Alam; Pam Alldred
Journal:  Int J Environ Res Public Health       Date:  2021-04-16       Impact factor: 3.390

  3 in total

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