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. 2024 Aug;96(6):1293-1303.
doi: 10.1002/jad.12338. Epub 2024 May 20.

Longitudinal effects of sexual minority stigma on depressive symptoms among young men who have sex with men: Distinguish between and within person effects

Xin Liu  1 , Mengxi Zhai  1 , Jiayu Li  1 , Dan Liu  1 , Liang Yuan  1 , Huihao Wang  1 , Bin Yu  1 , Hong Yan  1
Affiliations

Longitudinal effects of sexual minority stigma on depressive symptoms among young men who have sex with men: Distinguish between and within person effects

Xin Liu et al. J Adolesc. 2024 Aug.

Abstract

Background: Young men who have sex with men (YMSM) may experience high levels of sexual minority stigma (SMS) and depressive symptoms (DS) over the world and in China. However, there is a lack of studies investigating the longitudinal effects of SMS on DS of YMSM, especially focusing on YMSM and separating the between-person and within-person effects. This study aimed to fill the said gaps.

Methods: Study data were derived from a prospective cohort of 349 YMSM from central China (Wuhan, Changsha, Nanchang), the baseline survey was started in 2017 with one follow-up visit every year. SMS and DS were measured three times using valid and reliable instruments. The cross-lagged panel model (CLPM) and the random intercept CLPM (RI-CLPM) were used to examine the between-person and within-person concurrent and lagged effects, respectively.

Results: Findings of CLPM revealed bidirectional associations between SMS and DS over time. RI-CLPM suggested that at the between-person level, SMS was significantly associated with DS, echoing the results of CLPM. However, this reciprocal relationship has not been found at the within-person level.

Conclusion: The associations between SMS and DS among YMSM at the population level is more significant than that at the individual level. We suggest that interventions should be against the adverse effects of cultural marginalization and systemic change the social concepts to reduce the amount of SMS in society.

Keywords: MSM; depressive symptoms; longitudinal data; random intercept cross‐lagged panel model; stigma.

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