Discussion
Substance use and depression among recently migrated African gay and bisexual men living in the United States
Adedotun Ogunbajo1, Chukwuemeka Anyamele2, Arjee J. Restar1, Curtis Dolezal2, Theodorus G. M. Sandfort2
1Department of Behavioral and Social Sciences, Brown University School of Public Health, Providence, Rhode Island 2HIV Center for Clinical and Behavioral Studies, New York State Psychiatric Institute and Columbia University, New York, New York
Abstract
Background: Immigrant African gay and bisexual men (GBM) are at risk for substance use and adverse mental health outcomes due to negative experiences in home and host countries. Little is
known about correlates of substance use and mental health outcomes in this population. We
explored pre- and post-migratory factors associated with substance use and depression in recently
migrated African GBM.
Methods: Participants (N=70) were recruited between July-November 2015 in NYC. Eligible participants were administered a structured questionnaire. Correlates of substance use and
depression were identified using bivariate and multivariable analyses.
Results: Factors independently associated with current substance use were age, openness about sexual orientation, homophobic experiences in home country, forced sex in home country, current
housing instability, and internalized homophobia. Factors independently associated with
depression were post-traumatic stress disorder symptoms and alcohol use. Substance use and
depression were associated with negative experiences in home and host country.
Keywords
African Gay and Bisexual Immigrants; Substance Use; Mental Health; Immigrant Health
Background
According to census data, the number of African immigrants in the United States (U.S.) has
doubled every decade since 1970 [1]. Among them are gay and bisexual men (GBM),
Corresponding author: Theodorus Sandfort, HIV Center for Clinical and Behavioral Studies, New York State Psychiatric Institute and Columbia University, 1051 Riverside Drive, Unit 15, New York, NY 10032, Tel: 646 774 6946; Fax: 646 774 6955, [email protected].
Author Disclosure Statement No competing financial interests exist.
Disclaimer The findings of this analysis were presented as an oral presentation at the 4th Annual United States Conference on African Immigrant and Refugee Health in East Elmhurst, NY, September 15–18, 2016.
HHS Public Access Author manuscript J Immigr Minor Health. Author manuscript; available in PMC 2020 December 01.
Published in final edited form as: J Immigr Minor Health. 2019 December ; 21(6): 1224–1232. doi:10.1007/s10903-018-0849-8.
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migrating mostly from East and West Africa and settling predominantly in urban
metropolitan cities. As recent studies suggest [2–6] this population is negatively affected by
a variety of health problems, including depression and suicidal ideation. These health
problems can be interpreted from the interacting perspectives of migration and sexual
minority stress.
Migration can be stress inducing in a variety of ways [7]. There are premigration, migration
and postmigration factors that affect mental health [8]. Premigration factors might include
trauma, which also may inform one’s motivation to migrate. Postmigration factors include
various resettlement challenges, including insecurity about one’s immigration status and
economic hardship. Accordingly, migration has been linked to substance use and poor
mental health outcomes [9–12]. In a study of African immigrants, mental health was rated as
a top health concern, with over a third reporting a mental health problem [13]. An
international meta-analysis found that migrants are more likely than non-migrants to
experience mental health problems [14].
The sexual minority stress model proposes that, compared to heterosexual persons, sexual
minorities experience a range of specific distal and proximal stressors, that induce stress and
contribute to health disparities [15, 16]. Distal stressors include various experiences of
homophobia, while proximal stressors include internalized homophobia and concealment of
one’s sexual orientation or practices. Studies have shown that sexual minority stress factors
explain differences in substance use and mental health status among sexual minorities [15,
17, 18].
African gay and bisexual immigrants are likely to have been and to be exposed to both
migration-related and sexual minority stressors. Same-sex sexuality is criminalized in most
African countries, with sentences ranging up to the death penalty [19]. Also, compared to
other parts of the world, countries in Africa are among the least accepting of same-sex
sexuality [20]. Experiences with homophobia, including violence and blackmail, are well-
documented among this population [21, 22]. Such circumstances might cause sexual
minority persons to flee their home country. Persecution based on one’s sexual orientation is
ground for asylum in the U.S. and other countries [23]. Once migrated to the U.S., sexual
minority stressors are likely to continue to affect gay and bisexual immigrants, while their
impact might be exacerbated by challenges related to adapting to a new environment.
In the current study, we explored whether factors related to migration and sexual minority
stress were associated with alcohol and drug use, and depression in GBM who migrated
from East and West Africa to live in New York City, one of the main destinations among
African migrants in the U.S. [33]. Among the factors we explored are sexual minority
stressors, both before and after migration, which have been shown to negatively affect health
outcomes [15, 17, 18]. In terms of potential negative life events, we furthermore explored
the role of having forced sex experiences and engagement in transactional sex, and traumatic
experiences more generally. Related to migration, we explored the impact of migratory grief
(the sense of grief and loss associated with migrating [24, 25]), security of migration status,
and housing and financial instability. As far as these stress factors were associated with
substance use and depression, we further explored whether current health is determined by
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postmigratory factors or whether premigration factors still play a role. Understanding the
factors that affect the health status of African gay and bisexual immigrants is critical to
supporting them in their integration in the U.S. culture.
Methods
Participants
Participants were recruited through referrals from community-based organizations (CBOs),
chain referral through already enrolled participants, social media, and placing study
postcards at spaces frequented by the target population. This recruitment was greatly
facilitated by the fact that one of the authors, as an African gay immigrant himself, had
various connections with informal networks of African gay and bisexual immigrants as well
as the various relevant social service organizations. Further details on recruitment strategy
have been documented elsewhere [6]. Inclusion criteria were: (1) self-identify as male; (2)
18 years or older; (3) speak English or French; (4) identify as gay or bisexual or history of
same-sex sexual practices; (5) migrated to the U.S. from East or West Africa in the last 5
years; and (6) currently reside in NYC. In total, 70 men were interviewed; 13 of the 70
interviews were conducted in French. All participants provided written informed consent.
Procedures
Eligible participants were interviewed face-to-face by trained interviewers, using a
standardized questionnaire programmed on a computer. Questionnaires were available both
in English and French due to some West African countries being French-speaking. The
French language questionnaire was translated from English and back translated to ensure
equivalence. Data collection occurred between July 2015 and November 2015. Upon
completion of the survey, participants were compensated with a $30 gift card. All study
procedures were approved by the Institutional Review Board of the New York State
Psychiatric Institute.
Survey Measures
Demographics.—Participants provided their age on their last birthday; highest grade completed in school (some high school/secondary school, high school/secondary school
graduate, some college/university, technical/vocational education, college/university
graduate, graduate education, and other; education was dichotomized into less than college
and some college or higher); current marital status (never married, legally married, civil
union, legally separated, divorced, widowed; dichotomized into never married and ever
married); HIV status; sexual attraction; and sexual identity.
Pre-migratory factors.—Participants were asked about experiences in their country of origin, prior to arriving in the U.S. We assessed openness about one’s same-sex attraction by
asking whether others, including family members, friends, and work colleagues, knew about
participants’ same-sex attraction; all positive answers were summed resulting in scores
ranging from 0 to 5. To assess homophobic experiences, participants were asked whether the
following things ever happened to them due to their sexual orientation or practices [26]:
“While living in your home country, how often have you:” (1) “Had verbal insults and curses
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directed at you?”; (2) “Been threatened with physical violence?”; (3) “Had your personal
possessions damaged or destroyed?”; (4) “Had objects thrown at you?”; (5) “Been chased or
followed?”; (6) “Been punched, hit, kicked, or beaten?”; (7) “Been blackmailed?”; (8)
“Been denied employment or fired from a job?”; (9) “Been denied a promotion or salary
increase?”; and (10) “Received an unfair work evaluation?” (1=never, 5=very often); a mean
score was calculated. Forced sex was ascertained by: “Has someone ever forced you to have
sex when you did not want to yourself?” (yes/no). Participants were asked about history of
transactional sex: “Have you ever received anything in return for having sex with someone
while you were still living in your home country?” (yes/no).
Post-migratory factors.—Participants were asked about current experiences in the U.S. This included immigration status [green card holder, student visa, undocumented, asylum
seeker, asylee (granted asylum), U.S. citizen, and other], categorized as having an insecure
immigration status if they were undocumented or asylum seekers. Migratory grief was
assessed with seven items from the Migratory Grief and Loss Questionnaire [24],
specifically those dealing with identity discontinuity (e.g., “You feel like a stranger in this
country”) (1=never, 5=always; α=.84; mean score was calculated). Social support was measured using five items that asked if there was someone that the participant could rely on
for money, food, or a place to stay, to talk to if he has problems, to accompany him to a
doctor, or help him if he gets hurt (1=never true, 5=always true; α=.89; a mean score was calculated) [27]. To assess housing instability [28], participants were asked “Since living in
New York City, have you ever”: (1) “Moved in with anyone to share household expenses?”;
(2) “Stayed with friends or family because you had no place to sleep?”; (3) “Slept outside,
on the train, or in a shelter because you had no place to sleep?”; (4) “Looked for sex partners
because you had no place to sleep?”; (5) “Been homeless at any time?”, with possible
responses of yes/no; scores were summed (α=.72). To assess financial instability, participants were asked: “In the last 12 months, how often have you had to borrow money
from a friend or relative to survive financially?” (1=never, 5=almost always). To assess
transactional sex, participants were asked: “Since living in the United States, has a man or a
woman given you anything in exchange for having sex?” (yes/no). Whether people hide their
sexual orientation in NYC was asked with the question: “While living in New York, how
hard do you try to keep your sexual orientation hidden?” Responses included: “Try very
hard”, “Try somewhat hard”, “Do not try, but do not talk about it”, and “I openly talk about
it”.
Internalized homophobia.—Internalized homophobia was assessed using a four-item scale adapted from scales used with comparable populations [29]. Participants were asked to
indicate on a 4-point scale whether they (strongly) agreed or (strongly) disagreed with
statements such as “You feel that being attracted to men is a personal shortcoming for you”.
Mean scores were computed (α=.80).
Post-traumatic stress disorder (PTSD).—Symptoms of post-traumatic stress were assessed using the PTSD Checklist (PCL) [30] consisting of six items identifying how often
participants had been bothered by specific problems (e.g., “Trouble concentrating on things,
such as reading the newspaper or watching television”) over the past two weeks; answers
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were scored on a 5-point scale (0=not at all – 4=nearly every day); a total score was
computed (α=.82).
Substance use.—Participants were asked about current alcohol consumption and drug using habits. Alcohol use was assessed with the AUDIT-C, a 3-item screening test for heavy
drinking or alcohol dependence [31]. The AUDIT-C is scored on a scale of 0 to 12, the
higher the score, the higher the likelihood of hazardous drinking. Cronbach of the AUDIT-C
was .77. Recreational drug use was assessed with a question on how often men had used
drugs in the past year. Possible drug options included: cannabis, cocaine, prescription
stimulants, methamphetamine, inhalants, sedatives, hallucinogens, street opioids, and
prescription opioids. Current recreational drug use was assessed by asking: “In the past year,
how often have you used recreational drugs?” (never, less than monthly, monthly, weekly, or
daily or almost daily; 1–5).
Depression.—Depression was assessed with the PHQ-9 [32], an instrument used to screen for depression. It incorporates depression diagnostic criteria from the DSM-IV [33]. Each of
the 9 items on the scale could be scored from 0 (not at all) to 3 (nearly every day) (α=.84). A total score was calculated.
Data Analysis
Descriptive statistics (percentages and means) were calculated for demographics, pre- and
post-migratory factors, substance use, and depression. We first conducted bivariate
associations (Pearson correlations) of substance use and depression with demographic
factors, pre-migratory factors, and post-migratory factors. Subsequently, forward linear
regressions were utilized with substance use and depression as outcome. Data were analyzed
using IBM SPSS Statistics 23 (IBM Corporation, Armonk, New York).
Results
Demographic characteristics are presented in Table 1. Participants’ ages ranged from 20 and
41 years (M=31.0 years, SD=5.7). Most men had a college degree or higher (58.6%) and identified as gay (69.6%).
Recreational drug use
The mean score on recreational drug use was 2.37 (SD=1.53), with 8.6% of participants using drugs four or more times per week. The bivariate analysis showed that demographic
factors (age, educational attainment, and HIV status) were not associated with current
recreational drug use (Table 2). Pre-migratory factors associated with recreational drug use
included openness about same-sex attraction (r=.35, P<.01), history of forced sex (r=.31, P<. 01), and transactional sex (r=.39, P<.001). Post-migratory factors associated with recreational drug use included insecure immigration status (r=.26, P<.05), social support (r= −.29, P<.01), housing instability (r=.46, P<.001), financial instability (r=.31, P<.01), engagement in transactional sex in NYC (r=.41, P<.001), internalized homophobia (r=.28, P=.01), PTSD symptoms (r=.29, P<.01), alcohol use (r=.54, P<.001), and depression (r=.36, P<.001). Men were more likely to be currently engaged in recreational drug use if they had
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an insecure migration status, experienced housing and financial instability, had less social
support, engaged in transactional sex in NYC, experienced more internalized homophobia
and PTSD symptoms, used more alcohol, or reported more depressive symptoms.
In forward stepwise linear regression, five factors were independently associated with
recreational drug use (Table 3). Current recreational drug use was more frequent among
younger participants (β=−.32, P<.01), and participants who were more open about their same-sex attraction in country of origin (β=.39, P<.01), were currently experiencing housing instability (β=.41, P<.001), and experienced more internalized homophobia (β=.20, P<.05).
Alcohol use
The mean score on the AUDIT-C was 3.29 (SD=2.56), with 42.9% of participants scoring a 4 or higher, indicative of hazardous drinking. Bivariate correlates of alcohol use are
presented in Table 2. Demographic factors (age, educational attainment, and HIV status)
were not significantly associated with alcohol use. Several pre-migratory factors were
associated with alcohol use. Alcohol use was more frequent among participants who were
more open about their same-sex attraction in country of origin (r=.32, P<.01), reported a history of forced sex (r=.36, P<.01), or engaged in transactional sex (r=.32, P<.01). Post- migratory factors associated with current alcohol use included housing instability (r=.26, P<. 05), transactional sex in NYC (r=.31, P<.01), recreational drug use (r=.54, P<.001), and depression (r=.33, P<.01). Men who experienced housing instability in NYC, engaged in transactional sex in NYC, used drugs recreationally, or reported more depressive symptoms
were currently more frequent alcohol users. In forward linear regression, homophobic
experiences in country of origin (β=−.25, P<.05) and experiences of forced sex before migration were independently associated with alcohol use (β=0.36, P<.01) (Table 3).
Depression
The depression scores ranged from 0 to 27 with a mean score of 6.85 (SD=4.81); 25.7% of participants had a score of 10 or higher, indicating moderate to severe depression.
Demographic factors (age, educational attainment, and HIV status) were not significantly
associated with depression (Table 2). Participants who reported forced sex experiences in
country of origin were more likely to report depressive symptoms (r=.42, P<.001). Post- migratory factors associated with depression included migratory grief (r=.38, P<.001), insecure immigration status (r=.32, P<.01), social support (r=.−.27, P<.05), housing instability (r=.25, P<.05), financial instability (r=.33, P<.01), engagement in transactional sex in NYC (r=.28, P<.05), PTSD symptoms (r=.66, P<.001), recreational drug use (r=.36, P<.001), and alcohol use (r=.33, P<.01). Men reported more depressive symptoms if they had an insecure immigration status, experienced more migratory grief, less social support,
housing and financial instability, engaged in transactional sex in NYC, experienced more
PSTD symptoms, and reported more recreational drug and alcohol use. In forward linear
regression, factors independently associated with depression included PTSD symptoms (β=. 62, P<.001) and alcohol use (β=.24, P<.01) (Table 3).
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Discussion
This study of recently migrated African GBM in the U.S. found that both migratory factors
and sexual minority stress factors were significantly associated with current substance use
and depression. Among the migratory factors, both premigratory and postmigratory factors
played a role. Recreational drug use, alcohol use, and depression were also strongly
associated with each other. This is the first known study to assess these factors among this
population in the U.S. and these findings have implications for interventions aimed at
promoting better health behaviors and ultimately achieving optimum health outcomes.
In line with results of studies among sexual minority men [34–37], we found that
experiences of forced sex (in country of origin), transactional sex (in country of origin and in
the U.S.), insecure immigration status, limited social support, current housing instability,
financial instability, and PTSD symptoms were all associated in the expected direction with
at least two of the three health outcomes. Homophobic experiences in the country of origin
was only associated with current alcohol use and internalized homophobia was only
associated with recreational drug use. Migratory grief was only associated with depression,
which is in line with other studies conducted on immigrant groups in the U.S. [25]. That
recreational drug use, alcohol use and depression each had unique, independent predictors in
the multivariate analyses is a result of the statistical test applied, which selected only the
strongest independently associated factors in the final model. It is likely that with a bigger
sample size, more factors would have been selected in the multivariate model.
That openness about one’s same-sex attraction in the country of origin was associated with
both recreational drug use and alcohol use, is opposite of what one would expect, because
concealment instead of openness is usually conceived as a sexual minority stress factor [15,
16]. Openness in the country could reflect original differences in lifestyles among GBM,
including an earlier coming out, greater perceived femininity [29, 38], and earlier exposure
to sexual minority stressors and social marginalization at an earlier age. A more in-depth
exploration of immigrants’ sexual life in the country of origin is needed to better understand
underlying processes.
The observed associations of stress factors with substance use and between substance use
and depression suggest that substance use functions as a way of coping with one’s problems,
as studies among African GBM have suggested [39, 40].
These findings suggest a coherent picture, in which negative experiences in the country of
origin, such as forced sex and engagement in transactional sex, lead to housing and financial
instability, and hamper a successful integration in the host country. High rates of
transactional sex in the sample might be indicative of lack of economic opportunities for this
group. Findings furthermore suggest the need to address the men’s experiences in the
country of origin, because their impact seems to be persistent. Furthermore, efforts aimed at
improving the health of migrant African GBM. should be recognize that promoting healthy
behaviors might be ineffective if structural factors such as unstable housing and joblessness
are not adequately addressed.
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Our findings support the framework, recently developed by Alessi and Kahn [41], for
clinical practice with sexual and gender minority asylum seekers. This framework consists
of three components, including establishing safety and stability in treatment and in the
environment, developing skills for managing the asylum claims process, and providing
strategies for dealing with the challenges of resettlement. The aim of these components is to
help clients to heal from trauma, handle the demands of acculturation, and cope with
minority stress.
Our findings suggest the importance of efforts that go beyond clinical practice, including
reinforcing social support and promoting community building among recently migrated
African GBM. Providing spaces for new migrants to meet each other, discuss common
problems, and identify solutions might help alleviate depression that might occur as part of
the migration process. CBOs that serve this group could provide resume writing, interview
preparation, and job skills training services. Gaining financial independence is likely to have
direct implications for physical and mental health outcomes. It is critical that healthcare
systems and social service programs that intersect with this population have the competence
to identify and address the possible trauma prior to migration as well as the unique
challenges and barriers faced once in the U.S.
Limitations
This study has several limitations. First, the small sample size implies low statistical power,
limiting the ability to detect other significant associations. Second, the cross-sectional study
limits our ability to infer causation or directionality of observed associations. Third, we did
not assess men’s motivation to migrate. While some migrated out of personal choice, many
might have fled their country due to prejudice, discrimination, and even death threats [42].
Understanding their motivation might have shed more light on their current health status.
Fourth, there are additional postmigratory challenges that were not studied here, including
language barriers, economic difficulties, loneliness and social isolation, stress about families
left behind, and possibility of reunification [8, 43]. Fifth, as all participants migrated from
East or West Africa, the findings may not be generalizable to GBM from other African
countries. Sixth, the study included immigrants residing in NYC; immigrants living in other
cities might experience different challenges when adjusting to a new environment. Finally,
only social support was studied as a resilience factor; additional resilience factors, including
spirituality, might have offered more insights in successful adaptation strategies [44].
New Contributions to the Literature and Directions for Future Studies
Substance use and depression among African GBM who migrated to the U.S. were
associated with negative experiences both in the home and host country. Public health
programming that takes a holistic and comprehensive approach to improving health
outcomes among this population is needed. Future studies could tease out to what extent
some of the health disparities result from being a sexual minority person or an immigrant by
testing whether the observed associations exist among GBM immigrants in other contexts
and among immigrant populations other than African GBM. This will provide further
understanding of how intersecting identities and backgrounds affect health outcomes.
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Acknowledgements
The research team would like to acknowledge the brave participants who shared their stories and experiences with us. This research was supported by an HIV Center Pilot grant and a National Institute of Mental Health (NIMH) center grant (P30-MH43520; principal investigator [PI]: Robert H. Remien, PhD). Dr. Anyamele is supported by an NIMH training grant (T32-MH19139 Behavioral Sciences Research in HIV Infection; PI: Theodorus G.M. Sandfort, PhD). Mr. Ogunbajo contributions to this paper were supported by NIMH (R25-MH083620; PI: Amy Nunn, PhD), the Eunice Kennedy Shriver National Institute of Child Health and Human Development (P2C- HD041020; PI: Susan Short, PhD), and the Robert Wood Johnson Foundation Health Policy Research Scholars Program.
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Table 1.
Characteristics of Recent Gay and Bisexual Immigrants from East and Western Africa to the USA (N = 70)
M (SD) % (n)
Age, years 31.0 (5.71)
Education
Less than college 41.4 (29)
College or higher 58.6 (41)
Marital status
Never married 87.1 (61)
(Ever) married 12.9 (9)
Sexual attraction
To men only 54.3 (38)
To men and women 45.7 (32)
Sexual identity
Gay 69.6 (48)
Bisexual 30.4 (21)
Self-reported HIV status
Positive 11.4 (8)
Negative 72.9 (51)
Don’t know/Never tested 15.7 (11)
Openness in country of origin a 1.9 (1.45)
Homophobic experiences in country of origin b 1.8 (0.80)
Forced sex before migration
No 64.3 (45)
Yes 35.7 (25)
Transactional sex in country of origin
No 40.0 (28)
Yes 60.0 (42)
Insecure immigration status
No 48.6 (34)
Yes 51.4 (36)
Migratory grief c 1.9 (0.63)
Social support d 3.1 (0.98)
Housing instability in NYC e 3.4 (1.46)
Financial instability in NYC f 3.0 (1.15)
Transactional sex in the USA
No 45.7 (32)
Yes 54.3 (38)
Hiding sexual orientation in NYC g 2.9 (0.76)
Internalized homophobia h 2.6 (0.69)
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M (SD) % (n)
PTSD symptoms i 13.9 (4.57)
Recreational drug use j 2.4 (1.53)
Alcohol use k 3.3 (2.56)
Depression l 6.9 (4.81)
a Openness in country of origin, 0–5
b Homophobic experiences in country of origin, 1–5
c Migratory grief, 1–4
d Social support, 1–5
e Housing instability in NYC, 0–5
f Financial instability in NYC, 1–5
g Hiding sexual orientation in NYC, 1–4
h Internalized homophobia, 1–4
i PTSD symptoms, 6–30
j Recreational drug use, 1–5
k Alcohol use, 0–12
l Depression, 0–27.
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Table 2.
Bivariate Associations (r) with Substance Use and Depressive Symptoms among Recent Gay and Bisexual Immigrants from East and Western Africa to the USA (N=70)
Recreational
Drug Use Alcohol Use Depression
Age −.15 −.10 −.02
Education .03 .21 −.01
HIV infected (self-reported) −.001 .20 −.04
Openness in country of origin a .35** .32** .12
Homophobic experiences, country of origin b −.05 .17 .15
Forced sex before migration .31** .36** .42***
Transactional sex in country of origin .39*** .32** .23
Migratory grief c .09 .22 .38***
Insecure migration status .26* .13 .32**
Social support d −.29** −.14 −.27*
Housing instability e .46*** .26* .25*
Financial instability f .31** .17 .33**
Transactional sex in NYC .41*** .31** .28*
Hiding sexual orientation in NYC g .03 .20 −.13
Internalized homophobia h .28** .03 .15
PTSD symptoms i .29** .14 .66***
Recreational drug use j - .54*** .36***
Alcohol use k .54*** - .33**
Depression l .36*** .33** -
r = Pearson correlation coefficient.
* P < .05
** P < .01
*** P < .001.
a Openness in country of origin, 0–5
b Homophobic experiences, country of origin, 1–5
c Migratory grief, 1–4
d Social support, 1–5
e Housing instability in NYC, 0–5
f Financial instability in NYC, 1–5
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g Hiding sexual orientation in NYC, 1–4
h Internalized homophobia, 1–4
i PTSD symptoms, 6–30
j Recreational drug use, 1–5
k Alcohol use, 0–12
l Depression, 0–27.
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Table 3.
Multivariable Linear Regression Analyses of Characteristics of Substance Use and Depressive Symptoms
among Recent Gay and Bisexual Immigrants from East and Western Africa to the USA (N=70)
Recreational
Drug Use Alcohol Use Depression
β t β t β t
Age −.32 −3.30**
Openness in country of origin a .39 3.14**
Homophobic experiences, country of origin b −.25 −2.21*
Forced sex before migration .36 3.20**
Housing instability in NYC c .41 3.90***
Internalized homophobia d .20 2.08*
PTSD symptoms e .62 7.08***
Alcohol use .24 2.75**
R2 .44 .13 .49
F 10.03*** 10.25** 32.03**
β = standardized beta.
* P < .05
** P < .01
*** P < .001 (1-tailed).
a Openness in country of origin, 0–5
b Homophobic experiences, country of origin, 1–5
c Housing instability in NYC, 0–5
d Internalized homophobia, 1–4
e PTSD symptoms, 6–30
f Alcohol use, 0–12.
J Immigr Minor Health. Author manuscript; available in PMC 2020 December 01.
- Abstract
- Background
- Methods
- Participants
- Procedures
- Survey Measures
- Demographics.
- Pre-migratory factors.
- Post-migratory factors.
- Internalized homophobia.
- Post-traumatic stress disorder (PTSD).
- Substance use.
- Depression.
- Data Analysis
- Results
- Recreational drug use
- Alcohol use
- Depression
- Discussion
- Limitations
- New Contributions to the Literature and Directions for Future Studies
- References
- Table 1.
- Table 2.
- Table 3.