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. Author manuscript; available in PMC: 2020 Jul 13.
Published in final edited form as: Contraception. 2019 Aug 7;100(6):468–473. doi: 10.1016/j.contraception.2019.07.146

The contraceptive and reproductive history and planning goals of trans-masculine adults: a mixed-methods study,☆☆☆

Brett Stark a,b, Jaclyn MW Hughto c,d,e,f, Brittany M Charlton g,h,i,j, Madeline B Deutsch k,l, Jennifer Potter f,m,n, Sari L Reisner f,h,j,o,*
PMCID: PMC7357713  NIHMSID: NIHMS1606018  PMID: 31400297

Abstract

Objectives:

This study aims to identify factors associated with the reproductive planning of trans-masculine adults.

Study design:

Between 2015 and 2016, providers enrolled 150 trans-masculine adults in a sexual health study assessing sociodemographics, social support, gender affirmation, sexual partnering, and reproductive history and planning. A brief clinical interview assessed contraceptive use and concerns. Bivariate and multivariable logistic regression analyses examined associations between participant characteristics and three outcomes: current contraceptive use, lifetime pregnancy history and reproductive planning.

Results:

Overall, 37.3% are currently using contraceptives; 5.3% have been pregnant; and 20.0% plan to have biological children (9.3% plan to become pregnant; 12.0% plan to use their oocytes with a surrogate). Participants are less likely to use contraceptives if they are students vs. not, have socially affirmed their gender vs. not and have a partner vs. are single. Greater number of sexual partners is associated with the increased odds of contraceptive use. Further, as social support increases, the odds of having been pregnant decreases. Participants with a nonbinary gender identity are more likely to want to become pregnant than those with a binary gender identity, whereas those who have socially affirmed their gender are less likely to want to become pregnant than those who had not. Finally, participants of color more commonly planned to use their oocytes with a surrogate than white participants.

Conclusion:

Sociodemographic, gender affirmation, social support and sexual partner factors are associated with contraceptive use and reproductive history among trans-masculine patients.

Implications:

Healthcare providers must be aware of the diverse reproductive histories and pregnancy goals of trans-masculine individuals in order to provide comprehensive reproductive healthcare counseling and provision. More research is needed to better understand contraception and reproduction desires in trans-masculine individuals.

Keywords: Transgender, Contraception, Pregnancy, Surrogacy

1. Introduction

“Trans-masculine” is a term used to describe an array of individuals who were assigned a female sex at birth and currently identify along the masculine gender spectrum. Trans-masculine individuals may choose to medically affirm their gender with testosterone or surgically affirm their gender through procedures such as chest reconstruction [1]. Many trans-masculine individuals retain their neonatal reproductive organs, and current research demonstrates that trans-masculine individuals who have not received a hysterectomy are able to conceive regardless of testosterone utilization [2,3]. However, little is known about the reproductive and contraception history and reproductive planning of trans-masculine individuals [1].

Growing research explores the contraceptive needs of trans-masculine individuals [4,5]. Most existing studies, however, do not investigate potential sociodemographic and behavioral factors associated with contraceptive use among trans-masculine adults. The present study aims to conduct mixed-methods research with a sample of sexually active trans-masculine adults to characterize their sexual and reproductive history and reproductive planning goals; examine whether sociodemographic, sexual health and reproductive history factors are associated with current use of contraceptives, lifetime pregnancy, plans to become pregnant and plans to use a surrogate; and explore trans-masculine adults’ rationale for contraceptive use/nonuse and contraceptive-related concerns as discussed in clinical interviews with a healthcare provider.

2. Materials and methods

2.1. Recruitment

The Fenway Health data informatics team recruited participants by working with healthcare providers to identify patients coming in for routine care who were eligible for the study through the electronic medical record. Staff asked providers to share information about the study with patients identified as potential participants and to distribute cards containing contact information for the study. We used purposive sampling techniques to ensure a diverse study sample with regards to age, race and ethnicity.

Participants were eligible if they: were ages 21 to 64 years; were assigned a female sex at birth and currently identified on the masculine gender spectrum; had a cervix; were sexually active within the past 3 years [sexual partner(s)of any gender]; were able to speak and understand English; and were willing and able to provide informed consent. Participants received a $100 incentive upon study completion.

2.2. Procedures

Participants completed a self-administered survey via an electronic tablet, which included sociodemographics, history of gender affirmation, sexual partnering, and reproductive history and planning. Providers then conducted a brief clinical assessment and medical history related to contraception based on questions adapted from the Center for Disease Control and Prevention’s A Guide to Taking a Sexual Health History [6] to be more specific to trans-masculine individuals. Providers transcribed participant responses in real time via an electronic tablet. Two clinicians that were experts in clinical assessments with trans-masculine patients trained all providers. The Institutional Review Board at Fenway Health approved all study activities. More information is available regarding study procedures in previously published literature [7].

2.3. Data analysis

2.3.1. Quantitative analyses

We conducted statistical analyses of quantitative survey data in SAS 9.4. We calculated means and frequencies to describe participant characteristics. We fit bivariate and multivariable logistic regression models to examine the association between participant characteristics and four outcomes: current contraceptive use, lifetime pregnancy, plans to become pregnant and plans to use oocytes with surrogate. We estimated odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs). We treated participants reporting “don’t know” or “prefer not to answer” for the independent variables as missing and excluded them from the logistic regression analyses. There were less than 3% missing data for each of the final models with the analytical sample sizes ranging from n=146 for the lifetime pregnancy outcome to n=149 for the plans to use own oocytes with surrogate outcome. We included independent variables significant at p<.10 in bivariate analyses in the multivariable models. For the contraceptive outcome, the low prevalence (n=6) of participants who were currently using contraceptives and did not have a partner who was assigned a male sex at birth (MAB) in the past 12 months led to wide CIs in the bivariate analysis; thus, we excluded MAB partner as a variable from the multivariable model. Similarly, there were zero participants who had been pregnant and also had plans to use their oocytes; thus, we could not calculate for this bivariate comparison. We used backward selection for the multivariable models with significance determined at the p<.05 level.

2.3.2. Qualitative analyses

A mixed-methods data expert analyzed the open-ended provider clinical interview questions using a directed content analysis methodology [8]. We categorized participant responses according to three categories based on the clinical interview questions: current contraceptive use, rationale for contraceptive use and contraceptive-related questions or concerns. The analyst then open-coded participant responses to determine subcategories or codes within each domain (i.e., type of contraception; use of contraception for pregnancy prevention, STI prevention or other reason), and subsequently categorized each participant response according to these codes. The first author reviewed coded participant responses and subsequently resolved any coding inconsistencies with the analyst. The analyst and coauthors collaborated frequently to permit further revision of the coding schema and interpretation of data.

3. Results

3.1. Quantitative survey findings

In 2016, Fenway Health had approximately 950 known trans-masculine patients actively engaging in medical care. Between March 2015 and September 2016, providers recruited 150 (16%) of Fenway Health patients. The mean age of participants is 27.5 (SD=5.7). The majority have socially (87.3%) and medically (80.7%) affirmed their gender through the use of hormones, and more than half (55.4%) report that they were on hormones consistently for 12 months or longer. Of the 121 who report using hormones in their lifetime, 93.4% are currently on hormones. Additionally, 40.0% of the sample report having had some form of gender affirmation surgery. Participants also report moderate levels of social support with a mean of 73.9 (SD=19.5) on the abbreviated 100-point Medical Outcomes Study Social Support Survey. Table 1 describes further demographic information.

Table 1.

Demographic characteristics of 150 trans-masculine individuals participating in a study assessing contraception use and reproductive history.

n %
Age, continuous
 Range: 21–50 years (mean, SD) 27.5 ±5.7
Race/ethnicity
 White 112 74.7
 Person of color 38 25.3
  American Indian or Alaska Native 0 0.0
  Asian 9 6.0
  Native Hawaiian or Pacific Islander 1 0.7
  Black or African American 4 2.7
  More than one race 24 16.0
Hispanic/Latino
 Hispanic or Latino 14 9.3
 Not Hispanic or Latino 133 88.7
 Not reported 3 2.0
Gender identity
 Binary 115 76.7
 Nonbinary 35 23.3
Education: highest level
 High school or equivalent 14 9.3
 Some college or more 136 90.7
Student: current
 Yes 52 34.7
 No 97 64.7
 Prefer not to answer 1 0.7
Employment: current
 Unemployed 34 22.7
 Employed full-time 44 29.3
 Employed part-time 68 45.3
 Prefer not to answer 4 2.7
Low income (annual household)
 $32,000 or less 74 49.3
 >$32,000 60 40.0
 Don’t know 13 8.7
 Prefer not to answer 3 2.0
Insurance
 No health insurance 4 2.7
 Public insurance (Mass Health, Medicaid, Medicare) 45 30.0
 Private, school or work insurance 68 45.3
 Parent’s insurance 31 20.7
 Prefer not to answer 2 1.3
Social gender affirmation*
 No 16 10.7
 Yes 131 87.3
 Prefer not to answer 3 2.0
Cross-sex hormone use: lifetime
 No 29 19.3
 Yes 121 80.7
Cross-sex hormone use: current (n=121)
 No 8 6.6
 Yes 113 93.4
Time consistently on cross-sex hormones: lifetime
 Never 29 19.3
 Less than 12 months 38 25.3
 12 months to less than 3 years 37 24.7
 3 years to less than 5 years 46 30.7
Gender confirmation surgeries
 No 90 60.0
 Yes 60 40.0
Social support score (n=149) Mean SD
 Range: 25–100 73.9 19.5

The majority of participants identify their sexual orientation identity as Queer (88.0%), and 63.3% are currently in a relationship/partnered. Nearly half the sample (47.3%) report they had a partner in the past 12 months who was assigned a male sex at birth (MAB; i.e.,cisgender man, transgender woman, MAB gender non-conforming partner). The majority of the sample have used contraceptives in their lifetime (85.3%), and more than a third (37.3%) are currently using some form of contraceptive. A total of 5.3% of participants have been pregnant in their lifetime and 3.3% have given birth. Table 2 details additional information regarding the sexual partnering and reproductive history.

Table 2.

Sexual orientation, sexual partnering and contraception use of 150 trans-masculine individuals participating in a study assessing contraception and reproductive history.

n %
Sexual orientation identity
 Straight/heterosexual 18 12.0
 Queer 132 88.0
Partnered
 No 55 36.7
 Yes 95 63.3
Number of partners: past 12 months
 Range: 0–40 (mean, SD) 3.2 ±4.2
Gender of sexual partners: past 12 months*
 Cisgender woman 91 60.7
 Female assigned sex at birth: gender nonconforming 30 20.0
 Transgender man 23 15.3
 Cisgender man 61 40.7
 Male assigned sex at birth: gender nonconforming 8 5.3
 Transgender woman 18 12.0
MAB partner: past 12 months
 No 79 52.7
 Yes 71 47.3
Contraceptive use: lifetime
 No 22 14.7
 Yes 128 85.3
  Condom 117 78.0
  Oral contraceptives 75 50.0
  IUD 15 10.0
  Other§ 109 72.7
Contraceptive use: current
 No 94 62.7
 Yes 56 37.3
  Condoms 36 24.0
  IUD 12 8.0
  Birth control pill 4 2.7
  Other 6 4.0
Used emergency contraceptive: lifetime
 No 125 83.3
 Yes 25 16.7
Pregnant: lifetime
 No 142 94.7
 Yes 8 5.3
Number of times pregnant (n=8)
  1 5 3.3
  2 1 0.7
  3 2 1.3
Number of times given birth (n=8)
  0 3 2.0
  1 4 2.7
  2 1 0.7
Type of delivery (n=5)
  Frontal 4 2.7
  Cesarean 1 0.7
Biological children
 No 145 96.7
 Yes 5 3.3
Foster or step children
 No 147 98.0
 Yes 3 2.0
Plans to become pregnant in future
 Don’t know 29 19.3
 No 107 71.3
 Yes 14 9.3
Plans to use own oocytes with surrogate
 Don’t know 48 32.0
 No 84 56.0
 Yes 18 12.0

Note. Data in far right columns are n and % unless otherwise specified. SD = standard deviation.

*

When reporting gender identity of partners, participants could check all responses that applied; thus response options are not mutually exclusive

MAB Partner = Partner who was assigned a male sex at birth including a cisgender man, transgender woman, or gender non-conforming individual assigned a male sex at birth.

Condoms = external or “male” condoms

§

Other” forms of lifetime contraception included: internal condom, hormonal implant, injectable/shot, contraceptive ring, diaphragm, rhythm method, and withdrawal method.

“Other” forms of current contraception included: hormonal implant, withdrawal method, and use of testosterone (participant wrote in).

Table 3 presents bivariate associations between participant sociodemographics, gender affirmation, social support, sexual partnering, and reproductive history and planning. In multivariable analysis, being a student (ref: not a student; OR=0.34; 95% CI=0.13–0.91; p=.03), having socially affirmed one’s gender (ref: no social affirmation; OR=0.12; 95% CI=0.03–0.45; p=.002) and having a partner (ref: no partner OR=0.34; 95% CI=0.15–0.76; p=.01) are associated with the reduced odds of current contraceptive use. Greater number of sex partners in the past 12 months (continuous; OR=1.16; 95% CI=1.01–1.32; p=.002) is associated with the increased odds of current contraceptive use. Social support is associated with the decreased odds of lifetime pregnancy (continuous; OR=0.82; 95% CI=0.68–0.99; p=.048). Having socially affirmed one’s gender is associated with the decreased odds of having plans to become pregnant (ref: did not socially affirm one’s gender: OR=0.17; 95% CI=0.04–0.73; p=.02). Having a nonbinary gender is associated with the increased odds of having plans to become pregnant (ref: binary gender; OR=4.08; 95% CI=1.10–15.12; p=.04). Finally, being a person of color (ref: white; OR=2.81; 95% CI=1.02–7.78; p=.046) is associated with the increased odds of having plans to use their oocytes with a surrogate.

Table 3.

Factors associated with use of birth control, pregnancy and future reproductive plans in a sample of 150 trans-masculine individuals participating in a study assessing contraceptive use and reproductive history.

Outcome 1: contraceptive use: current Outcome 2: pregnant: lifetime Outcome 3: plans to become pregnant Outcome 4: plans to use own oocytes with surrogate
OR 95% CI OR 95% CI OR 95% CI OR 95% CI
Age
Continuous 0.98 0.93–1.04 1.08 0.98–1.19 1.06 0.97–1.16 1.01 0.92–1.10
Race/ethnicity
White (n=112) Ref - Ref - Ref -
Person of color (n=38) 0.87 0.40–1.89 1.21 0.23–6.53 1.24 0.36–4.21 2.81 1.02–7.78
Educational attainment
High school or less (n=14) 1.04 0.53–2.06 5.14 1.00–26.38 0.89 0.28–2.79 1.69 0.63–4.56
Some college or more (n=136) Ref - Ref - Ref -
Low income (household)
$32,000 or less (n=74) 1.70 0.83–3.45 3.33 0.62–17.84 0.25 0.05–1.20 1.69 0.59–4.84
>$32,000 (n=60) Ref - Ref - Ref -
Student
No (n=97) Ref - Ref - Ref - Ref -
Yes (n=52) 0.48 0.23–1.00 1.13 0.26–4.91 0.48 0.13–1.80 0.54 0.17–1.74
Employment
Unemployed (n=34) Ref - Ref - Ref - Ref -
Employed full-time (n=44) 0.90 0.36–2.24 0.17 0.02–1.64 2.05 0.37–11.29 0.96 0.24–3.89
Employed part-time (n=68) 0.78 0.34–1.81 0.23 0.04–1.31 1.84 0.36–9.36 1.14 0.33–4.02
Gender identity
Binary (n=115) Ref - Ref - Ref - Ref -
Nonbinary (n=35) 1.58 0.73–3.40 0.47 0.06–3.94 3.82 1.24–11.80 0.63 0.17–2.30
Social gender affirmation
No (n=16) Ref - Ref - Ref -
Yes (n=131) 0.17 0.05–0.55 0.73 0.08–6.45 0.16 0.05–0.57 0.56 0.14–2.20
Time consistently on cross-sex hormones: lifetime
Never (n=29) Ref - - - Ref -
Less than 12 months (n=38) 0.29 0.10–0.81 - - 0.21 0.04–1.15 0.45 0.11–1.78
12 months to less than 3 years (n=37) 0.44 0.16–1.19 - - 0.22 0.04–1.18 0.47 0.12–1.83
3 years or more (n=46) 0.48 0.19–1.23 - - 0.37 0.10–1.46 0.37 0.09–1.43
Gender confirmation surgeries: lifetime
No (n=90) Ref Ref - Ref - Ref
Yes (n=60) 0.59 0.29–1.17 0.2 0.02–1.66 0.37 0.10–1.40 1.59 0.59–4.27
Social support score
Continuous 0.96 0.88–1.05 0.83 0.68–0.99 1.00 0.87–1.15 0.96 0.85–1.09
Partnered
No (n=55) Ref - Ref - Ref - Ref -
Yes (n=95) 0.52 0.26–1.02 0.33 0.08–1.42 0.75 0.25–2.29 0.90 0.33–2.47
Number of partners: past 12 months
Continuous 1.13 1.01–1.26 0.97 0.77–1.21 0.98 0.85–1.14 0.96 0.82–1.13
MAB partner: past 12 months
No (n=79) Ref - - - Ref - Ref -
Yes (n=71) 17.78 6.89–46.03 - - 1.17 0.38–3.54 0.67 0.25–1.80
Contraceptive use: current
No (n=94) - - - - Ref - Ref -
Yes (n=56) - - 0.54 0.11–2.79 1.78 0.59–5.36 0.61 0.21–1.82
Pregnant: lifetime
No (n=142) Ref - - - Ref - - -
Yes (n=8) 0.54 0.11–2.79 - - 1.42 0.16–12.44 - -
Plans to become pregnant
No (n=107) Ref Ref - - - Ref
Yes (n=14) 1.78 0.59–5.36 1.42 0.16–12.44 - - 1.25 0.26–6.10
Plans to use own oocytes with surrogate
No (n=84) Ref - - - Ref - - -
Yes (n=18) 0.61 0.21–1.82 - - 1.25 0.26–6.10 - -

3.2. Qualitative findings from clinical interviews

Most of the participants use contraceptives for STI and/or pregnancy prevention. Some participants explicitly state that they use condoms for birth control, while others indicate that they primarily use condoms for STI prevention. For example, one participant states, “I use condoms. I was only recently experimenting with males for fun, and I don’t know if it will be ongoing, so I don’t think I need anything else for birth control,” whereas another participant states that they use “condoms with cis male partners but mostly for STI protection.” In nearly all cases, the use of condoms is explicitly tied to the perceived pregnancy risk of having sex with a “cis man,” “trans female partner” or “someone with a penis.” Those who report only using contraceptives for STI prevention also report that they are not at risk for pregnancy.

Most participants report taking hormonal birth control [i.e.,pill or intrauterine device (IUD)] for pregnancy prevention, although some participants report taking the birth control pill for other reasons. For example, one participant notes, “Yes, [I am taking the] pill, but not for pregnancy prevention, but for menstrual management.” Some participants indicate that they use testosterone to prevent pregnancy. For example, one participant notes, “[I’m] just using testosterone. But [I] understand that testosterone is not reliable contraception.”

Those who are not using contraceptives report that they are not at risk for pregnancy because they are “abstinent” or “avoiding penetrative sex” or because they are “not having sex with cis-men” or “someone with a penis.”

When given the opportunity to ask questions, the two most common concerns that emerge are questions about whether or not hormonal “birth control would interact with testosterone therapy” and “the risk of getting pregnant” for trans-masculine individuals who are not on birth control and who have sex with “cisgender men” and/or “someone with a penis.”

4. Discussion

Consistent with prior quantitative research conducted with trans-masculine people, this study finds a heavy reliance on current condom use for the purpose of pregnancy and STI prevention [2,4,5]. Additionally, the prevalence of IUD use among the sample is similar to that of trans-masculine populations in other studies [5], which is close to the approximately 12% prevalence of IUD use reported among U.S. cisgender women [9]. Further, in multivariable models, number of sexual partners is positively associated with the increased odds of current use of contraceptives, suggesting that some trans-masculine participants in this study may be aware of their risk for pregnancy and STIs and use contraceptives in accordance with that perceived risk. Clinical interview data from participants support these findings.

Trans-masculine participants in our sample have questions regarding the role of testosterone in pregnancy prevention, which has been similarly described in other studies [5]. For example, some participants wonder what their risk of pregnancy would be if they were to have condomless receptive vaginal sex while taking testosterone, while others worry that their testosterone might interact with hormonal birth control and make one or both drugs ineffective. While the rationale for testosterone use as a form of contraceptive over other methods is not assessed in clinical interviews, it is possible that trans-masculine adults on testosterone who no longer menstruate believe they cannot conceive. Findings highlight the necessity for providers to be aware of these questions and misconceptions related to contraceptives and hormone use so that proper contraception counseling can be provided to trans-masculine patients.

This study also explores the sociodemographic, gender affirmation, social support and sexual partner factors associated with contraceptive use among trans-masculine patients. This study finds that trans-masculine individuals with more social support have decreased odds of pregnancy. Similar findings have been shown in cisgender females with regard to unplanned pregnancy [10]. Additionally, findings suggest that a lower proportion of trans-masculine students use contraceptives relative to non-students. These differences may be due to students having less access to contraceptives, less perceived risk of pregnancy, as well as a lower self-efficacy to negotiate condoms or take contraceptive medications relative to nonstudents, [11] though qualitative research is needed to further explore this finding.

Additionally, trans-masculine individuals who have socially affirmed their gender may be more hesitant to access forms of contraceptives routinely prescribed to cisgender women relative to those who have not affirmed their gender as they may see this use of contraceptives as incongruent with their gender — a known barrier to preventative sexual healthcare in trans-masculine populations [12]. Further, partnered trans-masculine adults may feel that they are at decreased risk for STIs relative to single trans-masculine adults, leading to a decreased use of condoms or other STI prevention methods — a finding that had been documented among cisgender individuals in relationships [13]. Providers should discuss contraceptive needs with their trans-masculine patients and help to facilitate uptake for trans-masculine patients who seek contraceptives.

The overall prevalence of lifetime pregnancy among trans-masculine adults in the study is low relative to other studies, whereas the prevalence of future fertility desires was consistent with previous qualitative research [14]. Additionally, in multivariable models having socially affirmed one’s gender was inversely associated with plans to become pregnant in the future, whereas having a non-binary gender was positively associated with plans to become pregnant. It is possible that more masculine participants (i.e., binary trans-masculine adults and those who have affirmed their gender) may be less interested in becoming pregnant than nonbinary individuals or those who haven’t affirmed their gender because being pregnant may feel incongruent with their masculine gender identity or expression and could potentially increase feelings of gender dysphoria. Prior studies with trans-masculine adults show an increase in gender dysphoria in some trans-masculine adults during pregnancy [2,3] and suggest that gender dysphoria is an important mental health issue to address in relation to trans-masculine individuals’ reproductive health both during pregnancy and in the context of pregnancy prevention.

The study has several limitations including the cross-sectional design. While all measures are based on self-report, the use of the self-administered quantitative survey likely lessens social desirability bias concerns, and the use of both lifetime and past-12 month measures may reduce concerns regarding recall bias. Further, the small sample size restricts the power to determine the relationship between all sociodemographic and behavioral factors and the study outcomes (e.g.,lifetime pregnancy and educational attainment). Finally, while the sample was more diverse than previous studies with respect to age and race/ethnicity, there is limited socioeconomic, racial and geographic diversity among respondents, reducing the generalizability of findings.

This study provides insights regarding the reproductive health of trans-masculine adults. Specifically, this study highlights the unique reproductive desires of nonbinary individuals and the importance of increasing provider understanding and awareness of this particular population. Further research is needed to explore the relationship between race and willingness to use a surrogate. Providers must be aware that trans-masculine people are capable of conceiving and that proper counseling should be provided to meet the unique needs of this underserved patient population.

Funding:

The Patient-Centered Outcomes Research Institute funded Dr. Sari Reisner for this study under contract CER-1403–12,625. The American Cancer Society (MRSG CPHPS 130006) supported Dr. Brittany Charlton with this research.

Footnotes

Declaration of interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

☆☆☆

The authors report no conflicts of interest.

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