Billy A Caceres1, Kasey B Jackman2, Joseph Belloir3, Jordan Dworkin4, Curtis Dolezal5, Dustin T Duncan6, Walter O Bockting4. 1. Columbia University School of Nursing, New York, New York, USA. Electronic address: bac2134@cumc.columbia.edu. 2. Columbia University School of Nursing, Nurse Researcher, New York-Presbyterian Hospital, New York, New York, USA. 3. Columbia University School of Nursing, New York, New York, USA. 4. Columbia University and the New York State Psychiatric Institute, New York, New York, USA. 5. Division of Gender, Sexuality, and Health, Columbia University and the New York State Psychiatric Institute, New York, New York, USA. 6. Columbia University Mailman School of Public Health, New York, New York, USA.
Abstract
OBJECTIVES: Investigate the associations of gender minority stressors (including stigma consciousness [SC] and gender-related discrimination [GRD]) with sleep health in gender minority individuals. DESIGN: Cohort. PARTICIPANTS: 279 gender minority individuals. MEASUREMENTS: SC and GRD were measured using the Stigma Consciousness and Everyday Discrimination scales, respectively. Sleep disturbance was assessed using the PROMIS Sleep Disturbance measure. Subjective short sleep duration (<7 hours) was assessed. We used k-means longitudinal clustering to identify minority stress clusters (including SC and GRD scores). Linear and logistic regression models were used to examine the associations of these clusters with sleep disturbance and sleep duration, respectively, adjusted for demographic characteristics. RESULTS: Mean age was 36.9 ± 13.6 years; most were non-White (54.5%), 52.5% were transmasculine, and 22.6% were heterosexual. Mean sleep disturbance score was 17.2 ± 6.1 (range 6-30) and 52% reported short sleep duration. We identified 3 minority stress clusters. Compared to participants with low SC/low GRD, those with high SC/low GRD (B 3.33, 95% confidence interval [CI] = 1.64, 5.01) and high SC/high GRD (B 4.51, 95% CI = 2.63, 6.39) had worse sleep disturbance scores. Participants in the high SC/high GRD cluster were more likely to report short sleep duration relative to the low SC/low GRD cluster (adjusted odds ratios 2.17; 95% CI = 1.11-4.26). CONCLUSIONS: Participants with both high SC and high GRD had worse sleep health. Future longitudinal studies should examine factors that drive the link between gender minority stress and sleep health in gender minority individuals to inform sleep health interventions tailored for this population.
OBJECTIVES: Investigate the associations of gender minority stressors (including stigma consciousness [SC] and gender-related discrimination [GRD]) with sleep health in gender minority individuals. DESIGN: Cohort. PARTICIPANTS: 279 gender minority individuals. MEASUREMENTS: SC and GRD were measured using the Stigma Consciousness and Everyday Discrimination scales, respectively. Sleep disturbance was assessed using the PROMIS Sleep Disturbance measure. Subjective short sleep duration (<7 hours) was assessed. We used k-means longitudinal clustering to identify minority stress clusters (including SC and GRD scores). Linear and logistic regression models were used to examine the associations of these clusters with sleep disturbance and sleep duration, respectively, adjusted for demographic characteristics. RESULTS: Mean age was 36.9 ± 13.6 years; most were non-White (54.5%), 52.5% were transmasculine, and 22.6% were heterosexual. Mean sleep disturbance score was 17.2 ± 6.1 (range 6-30) and 52% reported short sleep duration. We identified 3 minority stress clusters. Compared to participants with low SC/low GRD, those with high SC/low GRD (B 3.33, 95% confidence interval [CI] = 1.64, 5.01) and high SC/high GRD (B 4.51, 95% CI = 2.63, 6.39) had worse sleep disturbance scores. Participants in the high SC/high GRD cluster were more likely to report short sleep duration relative to the low SC/low GRD cluster (adjusted odds ratios 2.17; 95% CI = 1.11-4.26). CONCLUSIONS: Participants with both high SC and high GRD had worse sleep health. Future longitudinal studies should examine factors that drive the link between gender minority stress and sleep health in gender minority individuals to inform sleep health interventions tailored for this population.
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