Study objectives

To describe changes in sleep quality and associated sleep symptoms as women begin menopausal transition compared with premenopausal controls.

Methods

In a repeated-measures design, we analyzed data collected every 2-6 months from a community-based sample of 223 women aged 40-50 (45.6 ± 2.3) years old over a 2-year period. Each 6-month visit included urinary follicle-stimulating hormone (FSH) as a marker of ovarian function and the Pittsburgh Sleep Quality Index (PSQI) and other questionnaires (Center for Epidemiological Studies-Depression Scale; Perceived Stress Scale). Menstrual cycle and vasomotor symptoms (Seattle Women's Health Symptom Checklist) were tracked every 2 months by phone. For women entering menopausal transition (n = 68) we used data from the two consecutive visits prior to their FSH rise and the next two visits. Data from the last four consecutive visits were used for controls remaining premenopausal (n = 155).

Results

The transition group did not differ from controls on age, vasomotor symptoms (hot flashes/night sweats), stress, or depression but did have a higher body mass index. Measures were stable over time for controls. However, the transition group experienced an increase in PSQI scores (initial PSQI = 5.7 ± 3.2 and final PSQI = 6.3 ± 3.8; P = .030) and frequency of trouble sleeping because of feeling too hot (P = .016), which lagged the FSH rise by 6 months with no notable change in report of hot flashes/night sweats.

Conclusions

Trouble sleeping because of feeling too hot, distinct from awareness of vasomotor symptoms, was the only uniform contribution to higher PSQI scores after the initial FSH increase and may signal the onset of the menopausal transition.

Citation

Zak R, Zitser J, Jones HJ, Gilliss CL, Lee KA. Sleep symptoms signaling the menopausal transition. J Clin Sleep Med. 2023;19(8):1513-1521.

Background: Validity of the Pittsburgh Sleep Quality Index (PSQI) has not been established for midlife women before menopause, and evidence suggests that two-factor or three-factor models may be more informative than the PSQI global score derived from its seven components. We hypothesized that the PSQI and its factor structure would be valid in premenopausal women. Materials and Methods: We performed a validation study of the PSQI against wrist actigraphy in a community-based convenience sample of 71 healthy premenopausal women (aged 40-50 years). For convergent validity, PSQI and its component scores were compared with homologous actigraphy measures. For discriminant validity, characteristics known to affect sleep quality were compared, including body mass index, exercise, menopausal status, menopausal symptoms, and depressive symptoms measured with the Center for Epidemiological Studies-Depression (CES-D) Scale. Results: The PSQI global score and Components 1 (quality) and 5 (disturbance) were correlated (p < 0.05) with actigraphy-measured wake after sleep onset. The PSQI global score and Components 1 (quality) and 7 (daytime dysfunction) were correlated with CES-D scores. PSQI Components 2 (onset latency) and 4 (efficiency) were not congruent with homologous actigraphy measures, while component 3 (duration) was congruent with actigraphy duration. The single-factor PSQI global score had a higher McDonald's omega (0.705) and Cronbach's alpha (0.702) than the two-factor or three-factor models. Conclusions: The PSQI global score is a valid measure of sleep quality in healthy midlife women, performing better than two-factor or three-factor models. However, overlapping CES-D and PSQI scores warrant further clinical assessment and research to better differentiate poor sleep quality from depression.

Objectives: To characterize the clinical correlates of subclinical Parkinsonian signs, including longitudinal cognitive and neural (via functional connectivity) outcomes, among functionally normal older adults. Methods: Participants included 737 functionally intact community-dwelling older adults who performed prospective comprehensive evaluations at ~15-months intervals for an average of 4.8 years (standard deviation 3.2 years). As part of these evaluations, participants completed the Unified Parkinson's Disease Rating Scale (UPDRS) longitudinally and measures of processing speed, executive functioning and verbal episodic memory. T1-weighted structural scans and task-free functional MRI scans were acquired on 330 participants. We conducted linear mixed-effects models to determine the relationship between changes in UPDRS with cognitive and neural changes, using age, sex, and education as covariates. Results: Cognitive outcomes were processing speed, executive functioning, and episodic memory. Greater within-person increases in UPDRS were associated with more cognitive slowing over time. Although higher average UPDRS scores were significantly associated with overall poorer executive functions, there was no association between UPDRS and executive functioning longitudinally. UPDRS scores did not significantly relate to longitudinal memory performances. Regarding neural correlates, greater increases in UPDRS scores were associated with reduced intra-subcortical network connectivity over time. There were no relationships with intra-frontoparietal or inter-subcortical-frontoparietal connectivity. Conclusions: Our findings add to the aging literature by indicating that mild motor changes are negatively associated with cognition and network connectivity in functionally intact adults.

To examine the association between sleep duration trajectories over 28 years and measures of cognition, gray matter volume, and white matter microstructure. We hypothesize that consistently meeting sleep guidelines that recommend at least 7 hours of sleep per night will be associated with better cognition, greater gray matter volumes, higher fractional anisotropy, and lower radial diffusivity values. We studied 613 participants (age 42.3 ± 5.03 years at baseline) who self-reported sleep duration at five time points between 1985 and 2013, and who had cognitive testing and magnetic resonance imaging administered at a single timepoint between 2012 and 2016. We applied latent class growth analysis to estimate membership into trajectory groups based on self-reported sleep duration over time. Analysis of gray matter volumes was carried out using FSL Voxel-Based-Morphometry and white matter microstructure using Tract Based Spatial Statistics. We assessed group differences in cognitive and MRI outcomes using nonparametric permutation testing. Latent class growth analysis identified four trajectory groups, with an average sleep duration of 5.4 ± 0.2 hours (5%, N = 29), 6.2 ± 0.3 hours (37%, N = 228), 7.0 ± 0.2 hours (45%, N = 278), and 7.9 ± 0.3 hours (13%, N = 78). No differences in cognition, gray matter, and white matter measures were detected between groups. Our null findings suggest that current sleep guidelines that recommend at least 7 hours of sleep per night may not be supported in relation to an association between sleep patterns and cognitive function or brain structure.

The most common neurodegenerative syndrome associated with Pick's disease pathology (PiD) is behavioral variant frontotemporal dementia (bvFTD), which features profound social behavioral changes. Rarely, PiD can manifest as an Alzheimer's disease (AD)-type dementia with early memory impairment. We describe a patient with AD-type dementia and pure PiD pathology who showed slowly progressive memory impairment, early social changes, and paucity of motor symptoms. Atrophy and PiD were found mainly in frontotemporal regions underlying social behavior. This report may help predict the pathology of patients with atypical AD, which will ultimately be critical for enrolling suitable subjects into disease-modifying clinical trials.

Objectives

To investigate the objective sleep influencers behind older adult responses to subjective sleep measures, in this case, the Pittsburgh Sleep Quality Index (PSQI). Based on previous literature, we hypothesized that SE would be associated with PSQI reported sleep disruption. Furthermore, because SOL increases progressively with age and it tends to be easily remembered by the patients, we also expected it to be one of the main predictors of the perceived sleep quality in the elderly.

Methods

We studied 32 cognitively healthy community-dwelling older adults (age 74 ± 0.3 years) who completed an at-home sleep assessment (Zeo, Inc.) and the PSQI. Linear mixed models were used to analyze the association of the objective sleep parameters (measured by the Zeo) with the PSQI total score and sub-scores, adjusting for age, gender, years of education and likelihood of sleep apnea.

Results

Objective sleep parameters did not show any association with the PSQI total score. We found that objective measures of Wake after sleep onset (WASO, % and min) were positively associated with the PSQI sleep disturbance component, while SE and Total Sleep Time (TST) were negatively associated with PSQI sleep disturbance. Lastly, objective SE was positively associated with PSQI SE.

Conclusions

Our findings showed that WASO, SE and TST, are associated with PSQI sleep disturbance, where the greater WASO, overall lower SE and less TST, were associated with increased subjective report of sleep disturbance. As expected, subjective (PSQI) and objective measures of SE were related. However, PSQI total score did not relate to any of the objective measures. These results suggest that by focusing on the PSQI total score we may miss the insight this easily administered self-report tool can provide. If interpreted in the right way, the PSQI can provide further insight into cognitively healthy older adults that have the likelihood of objective sleep disturbance.