Short sleep, insomnia symptoms, and evening chronotype are correlated with poorer mood and quality of life in adolescent transgender males

Neurologic Care for Transgender and Gender-Diverse People: A Review of Current Evidence and Clinical Implications

Purpose of Review

To summarize the literature on neurologic care for transgender and gender-diverse (TGD) people and provide implications for clinical practice.

Recent Findings

There are limited data on the frequency and management of neurologic conditions among TGD people. TGD people have a higher prevalence of various neurologic conditions compared with cisgender or general population cohorts, including migraine, subjective cognitive decline, sleep disturbances, functional disorders, and cerebrovascular disease. Gender-affirming hormone therapy interacts with commonly prescribed neurologic medications and increases stroke risk among transfeminine people. Sex hormones and sex chromosomes may play a role in neurodegeneration and disability progression in neuroimmunologic diseases. Clitoral reduction surgeries on intersex children can cause neurologic disability and sexual dysfunction in adulthood. Socioeconomic disparities among TGD people contribute to health care barriers.

Summary

Neurologists should consider the unique experiences and health care needs of TGD people in their clinical practice and research protocols.

Sleep health dimensions are associated with next-day symptoms in young adults with type 1 diabetes

OBJECTIVE

We investigated intra-individual reciprocal associations between sleep health dimensions (individual and composite) and symptoms among young adults with type 1 diabetes (T1D).

DESIGN AND MEASUREMENTS

Cross-lagged multilevel models were used to analyze electronic diary-reported sleep and symptom patterns over 7 days at waketime in 42 young adults with T1D. Sleep health dimensions included regularity, satisfaction, alertness, timing, efficiency (percentage of time spent asleep), and duration (total sleep time) and symptoms included mood, fatigue, and pain. Covariates included biological sex and age.

SETTING AND PARTICIPANTS

We recruited young adults (mean age 21.5 ± 2.1 years, HbA1c 6.8%, 85% female, 10% gender minority) with T1D for at least 6 months and no other major medical or psychiatric comorbidity from social media platforms, the College Diabetes Network, and ResearchMatch.

RESULTS

On days with a better sleep health composite, participants reported lower next-day symptoms (higher mood, lower fatigue, and lower pain) and on days when participants reported lower symptoms, participants reported better sleep health (as a composite). Several individual sleep health dimensions led to lower next-day symptoms (eg, higher satisfaction, alertness, and efficiency and higher mood); however, symptoms were no longer predictive of next-day sleep when controlling for prior day sleep.

CONCLUSIONS

Optimal sleep health is an antecedent of fewer next day symptoms. Sleep health dimensions likely have positive additive effects on lower symptoms as some of the individual sleep health dimensions were not significantly associated with some symptoms among young adults with T1D.

Prevalence of insomnia and its association with quality of life among Macau residents shortly after the summer 2022 COVID-19 outbreak: A network analysis perspective

BACKGROUND

The latest wave of the coronavirus disease 2019 (COVID-19) pandemic in Macau began on 18 June 2022 and was more serious than previous waves. Ensuing disruption from the wave is likely to have had a variety of negative mental health consequences for Macau residents including increased risk for insomnia. This study investigated the prevalence and correlates of insomnia among Macau residents during this wave as well as its association with quality of life (QoL) from a network analysis perspective.

METHODS

A cross-sectional study was conducted between 26 July and 9 September 2022. Univariate and multivariate analyses explored correlates of insomnia. Analysis of covariance (ANCOVA) examined the relationship between insomnia and QoL. Network analysis assessed the structure of insomnia including "Expected influence" to identify central symptoms in the network, and the flow function to identify specific symptoms that were directly associated with QoL. Network stability was examined using a case-dropping bootstrap procedure.

RESULTS

A total of 1,008 Macau residents were included in this study. The overall prevalence of insomnia was 49.0% (n = 494; 95% CI = 45.9-52.1%). A binary logistic regression analysis indicated people with insomnia were more likely to report depression (OR = 1.237; P < 0.001) and anxiety symptoms (OR = 1.119; P < 0.001), as well as being quarantined during the COVID-19 pandemic (OR = 1.172; P = 0.034). An ANCOVA found people with insomnia had lower QoL (F_(1,1,008) = 17.45, P < 0.001). "Sleep maintenance" (ISI2), "Distress caused by the sleep difficulties" (ISI7) and "Interference with daytime functioning" (ISI5) were the most central symptoms in the insomnia network model, while "Sleep dissatisfaction" (ISI4), "Interference with daytime functioning" (ISI5), and "Distress caused by the sleep difficulties" (ISI7) had the strongest negative associations with QoL.

CONCLUSION

The high prevalence of insomnia among Macau residents during the COVID-19 pandemic warrants attention. Being quarantined during the pandemic and having psychiatric problems were correlates of insomnia. Future research should target central symptoms and symptoms linked to QoL observed in our network models to improve insomnia and QoL.

Discrimination keeps transgender people awake at night: A nationwide cross-sectional survey of 583 transgender adults in South Korea

OBJECTIVES

We sought to investigate the association between transgender identity discrimination and sleep problems among transgender people in South Korea (hereafter, Korea), and whether family support for transgender identity plays a protective role in the association.

DESIGN & SETTING

We analyzed a nationwide cross-sectional survey of 583 Korean transgender adults which was anonymously conducted through an online platform.

MEASUREMENTS

Transgender identity discrimination was assessed using a single-item question. Sleep problems were defined as having any of the following problems: poor sleep quality, short sleep duration, and use of alcohol or sleep medications to fall asleep. Family support for transgender identity was classified into 3 groups as follows: not supportive, supportive, and unaware of participants' transgender identity.

RESULTS

Of 583 participants, 383 (65.7%) experienced transgender identity discrimination over the past 12 months. Participants who experienced transgender identity discrimination were 1.48 times (95% confidence intervals [95% CI] = 1.19-1.83) more likely to have any sleep problems, compared to those who never experienced transgender identity discrimination. When stratified by family support level, the associations between transgender identity discrimination and sleep problems remained statistically significant only among those with a family unsupportive (adjusted prevalence ratio [aPR] = 1.64; 95% CI = 1.16-2.31) or unaware (aPR = 1.60; 95% CI = 1.01-2.52) of participants' transgender identity. However, the association was not statistically significant among those with a supportive family (aPR = 1.41; 95% CI = 0.96-2.07).

CONCLUSION

Given transphobic environments in Korea, legal and institutional efforts are required to reduce transgender identity discrimination (eg, anti-discrimination laws) as well as to build trans-specific family resources.

Sleep disturbance and suicide risk among sexual and gender minority people

Sleep disturbance has emerged as an independent, mechanistic, and modifiable risk factor for suicide. Sexual and gender minority (SGM) people disproportionately experience sleep disturbance and are at higher risk of death by suicide relative to cisgender and/or heterosexual individuals. The present narrative review evaluates nascent research related to sleep disturbance and suicide-related thoughts and behaviors (STBs) among SGM populations, and discusses how experiences of minority stress may explain heightened risk among SGM people. Although there is a growing understanding of the link between sleep disturbance and STBs, most research has not been conducted in SGM populations or has not examined suicide as an outcome. Research is needed to examine whether and how aspects of sleep disturbances relate to STBs among SGM people in order to better tailor sleep treatments for SGM populations.

Gender identity and transition: relationships with sleep disorders in US youth

STUDY OBJECTIVES

Transgender or gender-nonconforming (TGNC) identity is associated with higher burden of sleep disorders relative to cisgender identity. However, the role of gender-affirming therapy (GAT) in sleep disorders is poorly understood. This study examined relationships between TGNC identity, transition, and sleep disorders among TGNC and cisgender youth.

METHODS

This retrospective cross-sectional study utilized a large US-based administrative claims database (deidentified Optum Clinformatics Data Mart Database) to identify youth aged 12-25 years who obtained a diagnosis of TGNC identity and those who pursued GAT. Descriptive statistics estimated distributions of demographic and health characteristics by gender identity. Unadjusted and age-adjusted logistic regression models were used to examine associations between TGNC identity, GAT, and sleep disorders.

RESULTS

This study included 1,216,044 youth, of which 2,603 (0.2%) were identified as TGNC. Among the 1,387 TGNC who pursued GAT, 868 and 519 were identified as transmasculine and transfeminine, respectively. Adjusted analysis showed increased odds of insomnia (odds ratio = 5.4, 95% confidence interval 4.7, 6.2), sleep apnea (odds ratio = 3.0, 95% confidence interval 2.3, 4.0), and other sleep disorders (odds ratio = 3.1, 95% confidence interval 2.5, 3.9) in TGNC relative to cisgender youth. Decreased odds of any sleep disorder were observed in the TGNC youth on GAT (odds ratio = 0.5, 95% confidence interval 0.4, 0.7) relative to those not on GAT.

CONCLUSIONS

This study demonstrated a high burden of sleep disorders in TGNC youth in comparison to cisgender. However, GAT may confer a protective effect on sleep disorders among TGNC youth. Longitudinal assessments of sleep disorders prior to and post-GAT are needed to uncover their temporal relationships.

CITATION

Gavidia R, Whitney DG, Hershner S, Selkie EM, Tauman R, Dunietz GL. Gender identity and transition: relationships with sleep disorders in US youth. J Clin Sleep Med. 2022;18(11):2553-2559.

Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning

OBJECTIVE

This study aimed to identify sleep disturbance subtypes ("phenotypes") among Latinx adults based on objective sleep data using a flexible unsupervised machine learning technique.

METHODS

This study was an analysis of sleep data from three cross-sectional studies of the Precision in Symptom Self-Management Center at Columbia University. All studies focused on sleep health in Latinx adults at increased risk for sleep disturbance. Data on total sleep time (TST), time in bed (TIB), wake after sleep onset (WASO), sleep efficiency (SE), number of awakenings (NOA) and the mean length of nightly awakenings were collected using wrist-mounted accelerometers. Cluster analysis of the sleep data was conducted using an unsupervised machine learning approach that relies on mixtures of multivariate generalized linear mixed models.

RESULTS

The analytic sample included 494 days of data from 118 adults (Ages 19-77). A 3-cluster model provided the best fit based on deviance indices (ie, DΔ∼ -75 and -17 from 1- and 2- to 3-cluster models, respectively) and likelihood ratio (P_diff ∼ 0.93). Phenotype 1 (n = 64) was associated with greater likelihood of overall adequate SE and less variability in SE and WASO. Phenotype 2 (n = 11) was characterized by higher NOAs, and greater WASO and TIB than the other phenotypes. Phenotype 3 (n = 43) was characterized by greater variability in SE, bed times and awakening times.

CONCLUSION

Robust digital data-driven modeling approaches can be useful for detecting sleep phenotypes from heterogenous patient populations, and have implications for designing precision sleep health strategies for management and early detection of sleep problems.