Sleep Disorders Are Associated with Female Sexual Desire and Genital Response - A U.S. Claims Database Analysis

Epidemiology and Comorbidities of Vestibular Disorders: Preliminary Findings of the AVOCADO Study

INTRODUCTION

Studies on incidence and prevalence of vestibular disorders tend to focus on small pockets of patients recruited from specialized clinics and often exclude measures of vestibular function. The objectives of the study were to characterize patients with common vestibular disorders, estimate the prevalence of common vestibular disorders, and ascertain whether patients with vestibular disorders experience increased risks of falls and morbidity.

MATERIALS AND METHODS

This retrospective cohort study includes both inpatient and outpatient routine clinical care data culled from a nationally representative, population-based sample. Patients were included if their record in the TriNetX Diamond Cohort comprised at least one vestibular function test or vestibular diagnosis. The main outcome measures were diagnosis with a vestibular disorder, a fall, or a common medical comorbidity (e.g., diabetes, cerebrovascular disease).

RESULTS

The cohort includes n = 4,575,724 patients, of which 55% (n = 2,497,136) had a minimum of one vestibular diagnosis. Patients with vestibular diagnoses were 61.3 ± 16.6 years old (mean ± standard deviation), 67% women, 28% White race (69% unknown race), and 30% of non-Hispanic or Latino ethnicity (66% unknown ethnicity). The prevalence of vestibular disorders was estimated at 2.98% (95% confidence interval [CI]: 2.98-2.98%). Patients with vestibular diagnoses experienced a significantly greater odds of falls (odds ratio [OR] = 1.04; 95% CI: 1.02-1.05), cerebrovascular disease (OR = 1.42; 95% CI: 1.40-1.43), ischemic heart disease (OR = 1.17; 95% CI: 1.16-1.19), and diabetes (OR = 1.14; 95% CI: 1.13-1.15), among others.

DISCUSSION

Vestibular disorders affect an estimated 3% of the U.S. population, after weighting. Patients with these disorders are at greater risk for many common, consequential medical conditions.

Approach the Patient With Obstructive Sleep Apnea and Obesity

Obstructive sleep apnea (OSA) and obesity are highly prevalent and bidirectionally associated. OSA is underrecognized, however, particularly in women. By mechanisms that overlap with those of obesity, OSA increases the risk of developing, or having poor outcomes from, comorbid chronic disorders and impairs quality of life. Using 2 illustrative cases, we discuss the relationships between OSA and obesity with type 2 diabetes, dyslipidemia, cardiovascular disease, cognitive disturbance, mood disorders, lower urinary tract symptoms, sexual function, and reproductive disorders. The differences in OSA between men and women, the phenotypic variability of OSA, and comorbid sleep disorders are highlighted. When the probability of OSA is high due to consistent symptoms, comorbidities, or both, a diagnostic sleep study is advisable. Continuous positive airway pressure or mandibular advancement splints improve symptoms. Benefits for comorbidities are variable depending on nightly duration of use. By contrast, weight loss and optimization of lifestyle behaviors are consistently beneficial.

Relationship of insomnia to sexual function and sexual satisfaction: Findings from the sleep and sex survey II

OBJECTIVE

Research suggests that healthy sleep is a key component of sexual function. When evaluating sexual function, however, poor sleep is often overlooked as a contributing factor. This cross-sectional survey expands prior work by exploring relationships among insomnia severity, sexual satisfaction, and sexual function with an updated battery of measures for the Sleep and Sex Survey.

METHOD

The sample (N = 1266) consisted of 618 men, 648 women recruited via Prolific, an online survey platform. The Sleep and Sex Survey II included measures addressing insomnia, fear of sleep, nightmares, sexual function, sexual satisfaction, sexual activity, depression, anxiety, posttraumatic stress, and alcohol use.

RESULTS

Recent sexual activity was correlated with better sleep, lower anxiety, and lower scores on a posttraumatic stress disorder screener. Insomnia severity was negatively correlated with sexual satisfaction (r = 0.22, p < .001) and the presence of insomnia was associated with higher rates of sexual dysfunction in women (53.8% vs. 31.8%; p < .001) and men (22.7% vs. 12.5%; p = .036). In regression analyses, after accounting for depression and anxiety, insomnia had a statistically significant association with sexual function for women (β = 0.12; p < .01) but not men (β = 0.11; p = .60).

CONCLUSION

Findings support a relationship of insomnia to sexual function and satisfaction with some gender differences. Future work may be enhanced by assessing these relationships in a gender diverse population including objective sleep measures and addressing contributing mechanisms. Clinically, findings support the assessment of sleep when evaluating patients for sexual dysfunction.