Publications

OBJECTIVE: The menopausal transition is characterized by progressive changes in ovarian function and increasing circulating levels of gonadotropins, with some women having irregular menstrual cycles well before their final menstrual period. These observations indicate a progressive breakdown of the hypothalamic-pituitary-ovarian axis often associated with an increase in menopausal symptoms. Relationships between vasomotor symptoms (VMS) and depressed mood and sleep as well as a bidirectional association between VMS and depressed mood in mid-life women have been reported, but the endocrine foundations and hormone profiles associated with these symptoms have not been well described. Our objective was to determine the relationship between daily urinary hormone profiles and daily logs of affect and VMS during the early perimenopausal transition.

STUDY DESIGN: SWAN, the Study of Women's Health Across the Nation, is a large, mutli-ethnic, multisite cohort study of 3302 women aged 42-52 at baseline, designed to examine predictors of health and disease in women as they traversed the menopause. Inclusion criteria were: an intact uterus and at least one ovary present, at least one menstrual period in the previous three months, no use of sex steroid hormones in the previous three months, and not pregnant or lactating. A subset (n = 849) of women aged 43-53 years from all study sites in the first Daily Hormone Study collection were evaluated for this substudy.

OUTCOME MEASURES: We measured daily VMS, and urinary hormones: follicle stimulating hormone (FSH), luteinizing hormone (LH), pregnanediol glucuronide (PdG) and estradiol (estrone conjugate, E1C).

RESULTS: A variable pattern of LH and negative LH feedback were the hormone patterns most strongly associated with increased VMS. In contrast, no hormone pattern was significantly related to negative mood.

CONCLUSION: Fluctuations of LH associated with low progesterone production were associated with VMS but not negative mood, suggesting different endocrine patterns may be related to increased negative mood than to the occurrence of VMS.

OBJECTIVE: To examine the effects of prescription sleep medications on patient-reported sleep disturbances.

DESIGN: Retrospective cohort.

SETTING: Longitudinal cohort of community-dwelling women in the USA.

PARTICIPANTS: Racially and ethnically diverse middle-aged women who reported a sleep disturbance.

INTERVENTIONS: New users of prescription sleep medications propensity score matched to women not starting sleep medications.

MAIN OUTCOMES AND MEASURES: Self-reported sleep disturbance during the previous 2 weeks-difficulty initiating sleep, waking frequently and early morning awakening-using a 5-point Likert scale, ranging from no difficulty on any night (rating 1) to difficulty on 5 or more nights a week (rating 5). Sleep disturbances were compared at 1 year (primary outcome) and 2 years of follow-up.

RESULTS: 238 women who started sleep medications were matched with 447 non-users. Participants had a mean age of 49.5 years and approximately half were white. At baseline, sleep disturbance ratings were similar: medication users had a mean score for difficulty initiating sleep of 2.7 (95% CI 2.5 to 2.9), waking frequently 3.8 (95% CI 3.6 to 3.9) and early morning awakening 2.8 (95% CI 2.6 to 3.0); non-users ratings were 2.6 (95% CI 2.5 to 2.7), 3.7 (95% CI 3.6 to 3.9) and 2.7 (95% CI 2.6 to 2.8), respectively. After 1 year, ratings for medication users were 2.6 (95% CI 2.4 to 2.8) for initiating sleep, 3.6 (95% CI 3.4 to 3.8) for waking frequently and 2.8 (95% CI 2.6 to 3.0) for early morning awakening; for non-users, the mean ratings were 2.3 (95% CI 2.2 to 2.5), 3.5 (95% CI 3.3 to 3.6) and 2.5 (95% CI 2.3 to 2.6), respectively. None of the 1 year changes were statistically significant nor were they different between medication users and non-users. Two-year follow-up results were consistent, without statistically significant reductions in sleep disturbance in medication users compared with non-users.

CONCLUSIONS: These analyses suggest that women who initiated sleep medications rated their sleep disturbances similar after 1 and 2 years. The effectiveness of long-term sleep medication use should be re-examined.

This White Paper presents the results from a workshop cosponsored by the Sleep Research Society (SRS) and the Society for Research on Biological Rhythms (SRBR) whose goals were to bring together sleep clinicians and sleep and circadian rhythm researchers to identify existing gaps in diagnosis and treatment and areas of high-priority research in circadian rhythm sleep-wake disorders (CRSWD). CRSWD are a distinct class of sleep disorders caused by alterations of the circadian time-keeping system, its entrainment mechanisms, or a misalignment of the endogenous circadian rhythm and the external environment. In these disorders, the timing of the primary sleep episode is either earlier or later than desired, irregular from day-to-day, and/or sleep occurs at the wrong circadian time. While there are incomplete and insufficient prevalence data, CRSWD likely affect at least 800,000 and perhaps as many as 3 million individuals in the United States, and if Shift Work Disorder and Jet Lag are included, then many millions more are impacted. The SRS Advocacy Taskforce has identified CRSWD as a class of sleep disorders for which additional high-quality research could have a significant impact to improve patient care. Participants were selected for their expertise and were assigned to one of three working groups: Phase Disorders, Entrainment Disorders, and Other. Each working group presented a summary of the current state of the science for their specific CRSWD area, followed by discussion from all participants. The outcome of those presentations and discussions are presented here.

Women remain underrepresented within academic medicine despite past and present efforts to promote gender equity. The authors discuss how the COVID-19 pandemic could stymie progress toward gender parity within the biomedical workforce and limit the retention and advancement of women in science and medicine. Women faculty face distinct challenges as they navigate the impact of shelter-in-place and social distancing on work and home life. An unequal division of household labor and family care between men and women means women faculty are vulnerable to inequities that may develop in the workplace as they strive to maintain academic productivity and professional development without adequate assistance with domestic tasks and family care. Emerging data suggest that gender differences in academic productivity may be forthcoming as a direct result of the pandemic. Existing gender inequities in professional visibility, networking, and collaboration may be exacerbated as activities transition from in-person to virtual environments and create new barriers to advancement. Meanwhile, initiatives designed to promote gender equity within academic medicine may lose key funding due to the economic impact of COVID-19 on higher education. To ensure that the gender gap within academic medicine does not widen, the authors call upon academic leaders and the broader biomedical community to support women faculty through deliberate actions that promote gender equity, diversity, and inclusion. The authors provide several recommendations, including faculty needs assessments; review of gender bias within tenure-clock-extension offers; more opportunities for mentorship, sponsorship, and professional recognition; and financial commitments to support equity initiatives. Leadership for these efforts should be at the institutional and departmental levels, and leaders should ensure a gender balance on task forces and committees to avoid overburdening women faculty with additional service work. Together, these strategies will contribute to the development of a more equitable workforce capable of transformative medical discovery and care.

Sleep disturbances and insomnia are common among breast cancer survivors, and can have a significant effect on quality of life and numerous other significant outcomes. Among risks for sleep disturbance is the introduction of anti-estrogen endocrine therapies. The possible contributing factors to sleep disturbance in endocrine therapy are complex, and include pre-existing sleep disorders, the effects of chemotherapy and other treatments, and concurrent symptoms such as hot flashes. In addition, sleep disturbance in menopause, the natural downregulation of reproductive hormones in older age, is a common occurrence, and can offer a model for understanding the high prevalence of sleep problems in breast cancer survivors on endocrine therapy, as well as suggesting possible treatments such as behavioral interventions and pharmaceuticals. Altogether, significantly more research is needed to better understand and address sleep disturbance in breast cancer survivors on endocrine therapy in order to support quality of life and treatment adherence.

BACKGROUND: Major cancer organizations recommend depression screening in patients and survivors. The 9-item Patient Health Questionnaire (PHQ-9) is often suggested, with limited information about its use.

METHODS: Enrollment data collected from younger breast cancer survivors participating in a behavioral intervention trial were used to examine the relationship between PHQ-9 scores (range = 0-27), patient characteristics, and responses to standardized psychosocial assessment tools. Major depressive disorder criterion was met if responses to the first 2 PHQ-9 items (range = 0-6) were 3 or greater. The sample was categorized by total PHQ-9 scores: less than 5 (minimal depressive symptoms), 5-9 (mild to moderate depressive symptoms), and 10 or greater (moderate to severe depression). PHQ-9 category associations with medical, demographic, psychosocial, and behavioral characteristics were examined using analysis of variance for continuous variables and χ2 tests for categorical variables.

RESULTS: A total of 231 women met the study prescreening eligibility criterion of mild depressive symptoms and enrolled in the study. On average, they were 45.2 years old and 2.6 years since diagnosis. At enrollment, 22.1% met the screening criterion for possible major depressive disorder; among those with PHQ-9 scores of 10 or greater, 58.3% met this criterion. Anxiety, fatigue, insomnia, and intrusive thoughts about cancer were frequent and were associated with depressive symptom severity (all P < .001). In contrast, neither demographic nor cancer treatment characteristics were associated with depressive symptoms.

CONCLUSIONS: Depressive symptoms in this selected sample of younger breast cancer survivors were independent of demographic characteristics or cancer treatment history, suggesting that depression screening is necessary to detect uncontrolled depressive symptoms.

BACKGROUND: Depressive symptoms and sleep disturbances disproportionately affect midlife women. While there may be a bidirectional association, few studies have examined whether depressive symptoms are longitudinally associated with subsequent sleep. Sleep is typically considered unidimensional, despite emerging evidence that multidimensional sleep health provides novel information on the sleep-health link.

PURPOSE: The current study examined whether higher depressive symptoms were longitudinally associated with poorer multidimensional sleep health.

METHOD: Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale across six to nine annual assessments in 302 midlife women from the Study of Women's Health Across the Nation. Six months after their last assessment, actigraphy (mean ± standard deviation = 29.3 ± 6.9 days) and self-report were used to assess sleep health components: efficiency, duration, mid-sleep timing, regularity, alertness, and satisfaction, which were dichotomized and summed to create a composite multidimensional sleep health score. Mixed-effects models were used to evaluate the longitudinal associations between depressive symptoms and multidimensional sleep health, as well as individual sleep health components, adjusting for covariates. Exploratory analyses stratified models by race/ethnicity.

RESULTS: Higher depressive symptoms were associated with subsequent poorer multidimensional sleep health (p < .0.001) and lower alertness (p < .0001) and satisfaction with sleep (p < .0001).

CONCLUSIONS: Our finding that higher average depressive symptoms were associated longitudinally with actigraphy-measured poorer sleep health in midlife women is novel and converges with the larger body of evidence that these two common symptoms are strongly associated. The bidirectional relationship between these two prevalent symptoms needs to be studied in prospective longitudinal studies.

Intermittent light (IML) pulses are more efficient per minute of exposure than continuous exposure in resetting the phase of the human circadian pacemaker. We assessed the spectral sensitivity in phase resetting, melatonin suppression and alertness induced by IML pulses. Twelve healthy young adults (6 females; mean age ± SD = 25.4 ± 3.6 years) were exposed to six monochromatic light pulses (2.8 × 1013 photons/cm2/s) over a 6.5 h window during the biological night. Six participants (3F) received 6 × 15-minute 460 nm (blue) pulses and six participants received 6 × 2-minute 555 nm (green) light pulses. Results were compared to historical data in 16 individuals who received continuous 460 nm (n = 8) or 555 nm (n = 8) light exposure using an identical protocol. As expected, long duration continuous 460 nm light exposure induced the largest total phase delay shifts, but intermittent 555 nm light induced the largest phase delay shifts per minute of the photic stimulus. Melatonin suppression was significantly higher under continuous light exposure compared to intermittent exposure patterns, and for 460 nm versus 555 nm exposure (under both light patterns). These data extend prior work showing a non-linear relationship between light exposure duration and phase resetting responses and illustrate the potential role of light wavelength, and therefore photoreceptor recruitment, in mediating these responses.

STUDY OBJECTIVES: To evaluate how change in menopausal status related to spectral analysis and polysomnographic measures of sleep characteristics.

METHODS: The Study of Women's Health Across the Nation (SWAN) Ancillary Sleep Study evaluated sleep characteristics of 159 women who were initially pre- or early perimenopausal and repeated the assessment about 3½ years later when 38 were pre- or early perimenopausal, 31 late perimenopausal, and 90 postmenopausal. Participants underwent in-home ambulatory polysomnography for two to three nights. Average EEG power in the delta and beta frequency bands was calculated during NREM and REM sleep, and sleep duration, wake after sleep onset (WASO), and apnea hypopnea index (AHI) were based on visually-scored sleep.

RESULTS: The women who transitioned to postmenopause had increased beta NREM EEG power at the second assessment, compared to women who remained pre-or early premenopausal; no other sleep measures varied by change in menopausal status. In multivariate models the associations remained; statistical controls for self-reported hot flashes did not explain findings. In secondary analysis, NREM beta power at the second assessment was greater among women who transitioned into the postmenopause after adjustments for initial NREM beta power.

CONCLUSIONS: Sleep duration and WASO did not vary by menopause transition group across assessments. Consistent with prior cross-sectional analysis, elevated beta EEG power in NREM sleep was apparent among women who transitioned to postmenopause, suggesting that independent of self-reported hot flashes, the menopausal transition is associated with physiological hyperarousal during sleep.