Perceived Homonegativity and Psychological Distress in Gay Men in Brazil: Does Skin Color Matter?
Abstract
:1. Introduction
2. Materials and Methods
2.1. Instruments
2.1.1. Internalized Homophobia Scale
2.1.2. Beck Depression Inventory (BDI-II)
2.1.3. State–Trait Anxiety Inventory (STAI)
2.2. Procedures and Ethical Considerations
2.3. Data Analysis
3. Results
4. Discussion
4.1. Study Limitations and Future Directions
4.2. Practical Implications for Clinicians and Policymakers
- Train healthcare practitioners: Mental health practitioners should have ongoing training to understand sexual and racial stigma and needs in relation to gay men of color who may face unique experiences related to compounded minority stress.
- Include LGBTQIA+ and racial diversity content in health education curricula: Colleges and technical training programs should include LGBTQIA+ and other racial and ethnic identities in foundational health education curricula to create inclusive and affirming practice.
- Create community-based support programs: Local government and non-government organizations (NGOs) should develop support networks and community centers for LGBTQIA+ individuals, especially those living in areas lacking access to mental health services. Make access to relevant services equitable: Policymakers should make provisions to enhance equitable access to, as well as quality of, mental health services in underserved communities, especially in rural communities or periphery urban locations where stigma may be more pronounced or hidden.
- Create public policies related to stigma and discrimination: Policy makers should create and enforce anti-discrimination policies related to the intersections of sexual orientation and race, while also providing support for affirmative policies and educational campaigns.
- Enable access to appropriate services equitably: Policymakers should take action to increase both the equity of access to and quality of mental health services in communities that are underserved, especially in rural communities or peripheral urban locations where stigma might be more salient or covert.
- Enable public policy related to stigma and discrimination: Policymakers should develop and enforce anti-discrimination policies that intersect sexual orientation and race while also supporting the endorsement of affirmative policies and educational programs.
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Total (n = 229) | White (n = 151) | Black/Brown (n = 78) | χ2 | p | Cramer’s V | |||||
---|---|---|---|---|---|---|---|---|---|---|
N | % | N | % | N | % | |||||
Education level | Complete elementary school | 1 | 0.4 | 1 | 0.7 | 1.678 | 0.29 | - | ||
Incomplete high school | 1 | 0.4 | 1 | 1.3 | ||||||
Complete high school | 11 | 4.8 | 5 | 3.3 | 6 | 7.7 | ||||
Technical course | 4 | 1.7 | 3 | 3.8 | ||||||
Complete higher education | 27 | 11.8 | 47 | 31.1 | 20 | 14.1 | ||||
Incomplete higher education | 67 | 29.3 | 16 | 10.6 | 11 | 25.6 | ||||
Incomplete postgraduate studies | 13 | 5.7 | 7 | 4.6 | 6 | 7.7 | ||||
Complete postgraduate studies | 54 | 23.6 | 38 | 25.2 | 16 | 20.5 | ||||
Master’s degree | 24 | 10.5 | 16 | 10.6 | 7 | 10.3 | ||||
Doctorate | 27 | 11.8 | 20 | 13.2 | 8 | 9 | ||||
Employment status | Employed | 200 | 87.3 | 136 | 90.1 | 64 | 82.1 | 8.611 | 0.03 ** | 0.19 |
Unemployed | 23 | 10 | 14 | 9.3 | 9 | 11.5 | ||||
On sick leave | 4 | 1.7 | 4 | 5.1 | ||||||
Retired | 2 | 0.9 | 1 | 0.7 | 1 | 1.3 | ||||
Housing condition | Own | 98 | 42.8 | 66 | 43.7 | 32 | 41 | 1.082 | 0.58 | - |
Rented | 118 | 51.5 | 75 | 49.7 | 43 | 55.1 | ||||
Borrowed/provided | 13 | 5.7 | 10 | 6.6 | 3 | 3.8 | ||||
Living arrangements | With family/partner | 125 | 54.6 | 86 | 57 | 39 | 50 | 1.786 | 0.40 | - |
With colleagues/friends | 27 | 11.8 | 15 | 9.9 | 12 | 15.4 | ||||
Alone | 77 | 33.6 | 50 | 33.1 | 27 | 34.6 | ||||
Positive for HIV | Yes | 36 | 15.7 | 23 | 15.4 | 13 | 16.7 | 0.080 | 0.77 | - |
No | 193 | 84.3 | 128 | 84.8 | 65 | 83.3 | ||||
Completion of the last HIV test | <6 months | 117 | 51.3 | 81 | 53.6 | 36 | 46.8 | 0.969 | 0.32 | - |
>6 months | 111 | 48.7 | 70 | 46.4 | 41 | 53.2 | ||||
Socioeconomic status (monthly income) * | Up to BRL 4618 (EUR 750; USD 814) | 92 | 42.2 | 50 | 35.2 | 42 | 55.3 | 12.124 | 0.03 ** | 0.23 |
Up to BRL 9238 (EUR 1500; USD 1629) | 54 | 24.8 | 40 | 28.2 | 14 | 18.4 | ||||
Up to BRL 13,858 (EUR 2250; USD 2444) | 21 | 9.6 | 12 | 8.5 | 9 | 11.8 | ||||
Up to BRL 18,478 (EUR 3000; USD 3259) | 17 | 7.8 | 12 | 8.5 | 5 | 6.6 | ||||
Up to BRL 23,097 (EUR 3750; USD 4073) | 12 | 5.5 | 10 | 7 | 2 | 2.6 | ||||
More than BRL 23,097 (EUR 3750; USD 4073) | 22 | 10.1 | 18 | 12.7 | 4 | 5.3 | ||||
Marital status | Single | 172 | 75.1 | 195 | 69.5 | 67 | 85.9 | 7.385 | 0.02 ** | 0.18 |
Married | 51 | 22.3 | 41 | 27.2 | 10 | 12.8 | ||||
Divorced | 6 | 2.6 | 5 | 3.3 | 1 | 1.3 | ||||
Religion | Practicing Catholic | 16 | 7 | 10 | 6.6 | 6 | 7.7 | 21.746 | 0.01 ** | 0.30 |
Non-practicing Catholic | 38 | 16.6 | 26 | 17.2 | 12 | 15.4 | ||||
Practicing Protestant | 5 | 2.2 | 3 | 2 | 2 | 2.6 | ||||
Non-practicing Protestant | 18 | 7.9 | 5 | 3.3 | 13 | 16.7 | ||||
Practicing Spiritist | 13 | 5.7 | 6 | 4 | 7 | 9 | ||||
Non-practicing Spiritist | 15 | 6.6 | 12 | 7.9 | 3 | 3.8 | ||||
Practicing Afro-Brazilian religious | 15 | 6.6 | 10 | 6.6 | 5 | 6.4 | ||||
Non-practicing Afro-Brazilian religious | 11 | 4.8 | 8 | 5.3 | 3 | 3.8 | ||||
Atheist or agnostic | 70 | 30.7 | 55 | 36.4 | 15 | 19.2 | ||||
Other religions | 17 | 4.8 | 10 | 6.6 | 7 | 9 | ||||
Without religion | 11 | 6 | 4 | 5 | 6.4 |
Variables | Possible Scores | Theoretical Mean | M | SD | 95%CI |
---|---|---|---|---|---|
Depression | 0–63 | 31.5 | 14.03 | 9.53 | 12.79–15.28 |
Homonegativity (community) | 4–16 | 10 | 11.41 | 1.43 | 11.23–11.60 |
Homonegativity (internalized) | 15–60 | 37.5 | 38.21 | 3.36 | 37.78–38.65 |
Homonegativity (total) | 19–76 | 47.5 | 49.63 | 3.83 | 49.13–50.13 |
State anxiety | 20–80 | 50.0 | 48.16 | 12.61 | 46.52–49.80 |
Trait anxiety | 20–80 | 50.0 | 48.65 | 12.58 | 47.01–50.29 |
Variables | Depression | Homonegativity (Total) | Homonegativity (Community) | Homonegativity (Internalized) | State Anxiety | Trait Anxiety | Age | Education Level | Income |
---|---|---|---|---|---|---|---|---|---|
Depression | - | 0.13 * | 0.09 | 0.11 | 0.75 ** | 0.80 ** | −0.11 | −0.19 ** | −0.17 ** |
Homonegativity (total) | - | 0.49 ** | 0.92 ** | 0.06 * | 0.11 | 0.04 | 0.08 | 0.10 | |
Homonegativity (community) | - | 0.13 * | 0.08 | 0.13 * | −0.06 | −0.05 | 0.03 | ||
Homonegativity (internalized) | - | 0.03 | 0.07 | 0.07 | 0.11 | 0.10 | |||
State anxiety | - | 0.87 * | −0.15 * | −0.11 | −0.16 * | ||||
Trait anxiety | - | −0.24 ** | −0.18 ** | −0.24 ** | |||||
Age (years) | - | 0.25 ** | 0.31 ** | ||||||
Education level | - | 0.37 ** | |||||||
Income | - |
Variable | Total (n = 229) | White (n = 151) | Black/Brown (n = 78) | ||||||
---|---|---|---|---|---|---|---|---|---|
M | SD | M | SD | M | SD | t | p | d | |
Depression | 14.03 | 9.53 | 13.36 | 9.66 | 15.34 | 9.21 | 1.494 | 0.13 | - |
Homonegativity (community) | 11.41 | 1.43 | 11.37 | 1.48 | 11.50 | 1.34 | 0.610 | 0.54 | - |
Homonegativity (internalized) | 38.21 | 3.36 | 38.52 | 3.03 | 37.62 | 3.87 | −1.920 | 0.05 * | 0.26 |
Homonegativity (total) | 49.63 | 3.83 | 49.90 | 3.52 | 49.12 | 4.35 | −1778 | 0.07 | - |
State anxiety | 48.16 | 12.61 | 46.46 | 12.69 | 51.46 | 11.85 | 2.893 | 0.004 * | 0.40 |
Trait anxiety | 48.65 | 12.58 | 47.25 | 12.62 | 51.36 | 12.12 | 2.365 | 0.001 * | 0.33 |
Dependent Variable | Model | Predictor | β | p | R2 adj. |
---|---|---|---|---|---|
Depression | 1 | Skin color | 0.170 | 0.010 | 0.025 |
2 | Skin color | 0.176 | 0.007 | 0.059 | |
Education | −0.197 | 0.002 | |||
3 | Skin color | 0.179 | 0.006 | 0.068 | |
Education | −0.152 | 0.028 | |||
Income | −0.119 | 0.086 | |||
Trait anxiety | 1 | Skin color | 0.190 | 0.004 | 0.032 |
2 | Skin color | 0.196 | 0.003 | 0.064 | |
Education | −0.190 | 0.003 | |||
3 | Skin color | 0.201 | 0.002 | 0.097 | |
Education | −0.114 | 0.096 | |||
Income | −0.206 | 0.003 | |||
State anxiety | 1 | Skin color | 0.146 | 0.027 | 0.017 |
2 | Skin color | 0.150 | 0.023 | 0.027 | |
Education | −0.120 | 0.068 | |||
3 | Skin color | 0.153 | 0.019 | 0.042 | |
Education | −0.065 | 0.356 | |||
Income | −0.148 | 0.035 |
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Alckmin-Carvalho, F.; Torre, R.D.; Teixeira, I.; Ledo, J.; Oliveira, A.; Nichiata, L.Y.I.; Pereira, H. Perceived Homonegativity and Psychological Distress in Gay Men in Brazil: Does Skin Color Matter? Healthcare 2025, 13, 1030. https://doi.org/10.3390/healthcare13091030
Alckmin-Carvalho F, Torre RD, Teixeira I, Ledo J, Oliveira A, Nichiata LYI, Pereira H. Perceived Homonegativity and Psychological Distress in Gay Men in Brazil: Does Skin Color Matter? Healthcare. 2025; 13(9):1030. https://doi.org/10.3390/healthcare13091030
Chicago/Turabian StyleAlckmin-Carvalho, Felipe, Renata Della Torre, Iara Teixeira, Jóni Ledo, António Oliveira, Lúcia Yasuko Izumi Nichiata, and Henrique Pereira. 2025. "Perceived Homonegativity and Psychological Distress in Gay Men in Brazil: Does Skin Color Matter?" Healthcare 13, no. 9: 1030. https://doi.org/10.3390/healthcare13091030
APA StyleAlckmin-Carvalho, F., Torre, R. D., Teixeira, I., Ledo, J., Oliveira, A., Nichiata, L. Y. I., & Pereira, H. (2025). Perceived Homonegativity and Psychological Distress in Gay Men in Brazil: Does Skin Color Matter? Healthcare, 13(9), 1030. https://doi.org/10.3390/healthcare13091030