Trajectory analysis of sleep maintenance problems in midlife women before and after surgical menopause: the Study of Women's Health Across the Nation (SWAN)

Sleep Health and Anxiety Symptoms in Midlife Women: The Study of Women's Health Across the Nation (SWAN)

Purpose

To investigate the associations between anxiety symptoms in midlife women and sleep features later in life, the aim is to test the hypothesis that poor sleep, as measured by each of six individual dimensions (4 objective actigraphy measures, 2 self-reports) of sleep health, is associated with higher levels of anxiety symptoms in midlife women.

Participants and Methods

The participants in this longitudinal analysis included women from the SWAN Sleep I Study, a subcohort of the community-dwelling midlife women participating in the core Study of Women's Health Across the Nation (SWAN), which was initiated in 1996. Of the 370 participants enrolled in the Sleep Study, 270 were included in the analytic sample, and 100 who did not meet the inclusion criteria were excluded. Baseline measures of six dimensions of multidimensional sleep health (actigraphy measures: efficiency, duration, mid-sleep timing, regularity; self-report measures: alertness, satisfaction) were obtained between 2003 and 2005, corresponding to SWAN core annual/biennial assessments 5-8. Associations of each dimension with self-reported anxiety symptoms (Generalized Anxiety Disorder - 7-item scale; GAD-7), collected during visits 12 (2009-2011), 13 (2011-2013), and 15 (2015-2017), were examined using mixed models. The GAD-7 outcome was measured both continuously and as a categorical variable due to its skewed distribution.

Results

No statistically significant associations were found between any of the six baseline sleep health dimensions and the GAD-7 score after adjustment for covariates.

Conclusion

The reasons for the lack of support for our hypothesis, despite previous evidence supporting an association between sleep and anxiety, are unclear. There is considerable overlap between anxiety and sleep symptoms, which may complicate the interpretation of our the findings. Thus, the failure to identify associations is likely multifactorial, and more studies with shorter follow-up intervals are warranted to better understand these relationships.

The menopausal transition period and cardiovascular risk

The menopausal transition period spans, on average, 2-8 years before the final menstrual period and is associated with an increase in clinical and subclinical cardiovascular risk. In this Review, we discuss the metabolic and cardiovascular changes that occur during the menopausal transition period and the role of ovarian ageing, chronological ageing and other ageing-related risk factors in mediating these changes. Disentangling the relative contributions of chronological and reproductive ageing to cardiovascular risk is challenging, but data from longitudinal studies in women transitioning from premenopause to post-menopause have provided valuable insights. We also discuss evidence on how cardiovascular risk is altered by premature or early menopause, surgical menopause, and vasomotor and other menopausal symptoms. Whether targeted interventions can slow the progression of atherosclerosis and subclinical disease during the menopausal transition, thus delaying or preventing the onset of cardiovascular events, remains to be determined. Furthermore, we consider the recommended strategies for cardiovascular risk reduction in women undergoing menopausal transition using the framework of the American Heart Association's Life's Essential 8 key measures for improving and maintaining cardiovascular health, and discuss the cardiovascular risks and benefits of menopausal hormone therapy. Finally, we also discuss novel therapies that might benefit this population in reducing cardiovascular risk.

Associations of adverse childhood and lifetime experiences with sleep quality and duration among women in midlife

OBJECTIVES

Many women experience sleep problems during midlife. Associations of adverse lifetime experiences-more common among women-with sleep outcomes are understudied.

METHODS

We studied 476 women enrolled in Project Viva 1999-2002. At enrollment, participants reported any lifetime history of abuse and/or financial hardship. At midlife follow-up ∼20 years later, they reported a history of up to 10 adverse childhood experiences (ACEs); 7-day sleep quality (patient-reported outcomes measurement information system sleep disturbance and sleep-related impairment T-scores); and past month average sleep duration. We examined associations of adverse experiences with sleep outcomes, adjusted for childhood sociodemographic variables. We also explored mediation by current depression and anxiety symptoms, hot flash severity, general health, and body mass index.

RESULTS

ACEs were common: 301 women (63%) reported one or more. Each additional ACE was associated with higher midlife sleep disturbance (adjusted β = 0.65 points, 95% confidence interval [CI]: 0.27, 1.02) and sleep-related impairment (0.98, 95% CI: 0.54, 1.41) T-scores, and with sleep duration <6 hour/night (odds ratio 1.19, 95% CI: 1.00, 1.42), but not with continuous sleep duration (-2 minutes, 95% CI: -5, 1). Adverse experiences in adulthood were less consistently associated with sleep quality but were associated with sleep duration, for example, financial hardship during the index pregnancy was associated with 75 minutes (95% CI: -120, -29) shorter sleep duration 2 decades later. Associations of ACEs with sleep disturbance and sleep-related impairment were mediated by midlife depression anxiety and physical health but not by hot flash severity or body mass index.

CONCLUSIONS

Adverse lifetime experiences have deleterious associations with sleep duration and quality in midlife women.

Self-Reported Sleep Disturbances over the Menopausal Transition and Fracture Risk: The Study of Women's Health Across the Nation

Sleep disturbances are common and may impact fracture risk directly by influencing bone turnover or indirectly through shared risk factors or mediators. To investigate the association between self-reported sleep disturbances across the menopausal transition (MT) and fractures, we prospectively studied 3101 women enrolled in the Study of Women's Health Across the Nation (SWAN). At each of 14 study visits spaced approximately 18 months apart, a standardized validated scale ascertained trouble falling asleep, waking up several times during the night, and waking up earlier than planned. Two time-varying exposures were modeled: presence of any of the three disturbances at least three times per week and waking up several times during the night at least three times per week. Base models adjusted for fixed (race/ethnicity, study site) and time-varying characteristics (age, body mass index, and MT stage). Fully adjusted models also included time-varying bone beneficial and detrimental medications, smoking, alcohol, physical activity, diabetes, depression and sleep medications, and depressive symptoms. Women who experienced a fracture were more likely to report a greater frequency of having trouble falling asleep, waking up several times, and/or waking up earlier: 35% versus 30% at baseline, p = 0.02. In the base models, women who had any of the three sleep disturbances at least three times per week had a higher risk of any fracture, odds ratio (OR) = 1.23 (95% confidence intervals, 1.02, 1.48) and nontraumatic fracture, OR = 1.36 (1.03, 1.80). These associations were largely attenuated to nonsignificance in the fully adjusted model. Sensitivity analyses limiting our sample to 2315 SWAN women enrolled in the bone mineral density (BMD) centers yielded similar results. Additional adjustment for femoral neck BMD had no effect on our results. In conclusion, self-reported sleep disturbances were associated with an increased risk of fractures, but these associations likely reflect shared risk factors or factors in the causal pathway. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.

Factors associated with weight gain after breast cancer: Results from a community-based survey of Australian women

PURPOSE

Weight gain after breast cancer is common. The aim of this study was to determine factors associated with weight gain after breast cancer in Australian women.

METHODS

A cross-sectional online survey was conducted between November 2017 and January 2018. Women living in Australia who self-identified as having breast cancer or ductal carcinoma in-situ were eligible. We created stepwise linear and logistic regression models to evaluate predictors for absolute and clinically significant (≥5%) weight gain respectively.

RESULTS

Data from 276 women were analysed. Most were Caucasian and 92% had been diagnosed with Stage 0-III breast cancer. Absolute weight gain was associated with hot flushes, being in the menopausal transition at diagnosis, being less physically active than at diagnosis, lower eating self-efficacy when watching television or using a computer, and higher self-efficacy when anxious or nervous (F-ratio = 3.26, R²-adjusted = 0.16, p < .001). Clinically significant weight gain was associated with tamoxifen use (OR 2.7), being less physically active than at diagnosis (OR 3.1), and lower eating self-efficacy when watching television or using a computer (OR 0.82) (Chi-square 64.94, df = 16, p < .001). Weight gain was not associated with chemotherapy, radiotherapy, aromatase inhibitor use, number of lymph nodes removed, or body mass index at diagnosis.

CONCLUSIONS

Interventions to prevent weight gain after breast cancer, particularly aiming to maintain physical activity, should be targeted at women receiving tamoxifen. The role of eating self-efficacy, especially attentive eating, in managing weight after breast cancer should be explored.

The role of ovarian hormones in the pathophysiology of perimenopausal sleep disturbances: A systematic review

Sleep disturbance is a common clinical concern throughout the menopausal transition. However, the pathophysiology and causes of these sleep disturbances remain poorly understood, making it challenging to provide appropriate therapy. Our goal was to i) review the literature about the influence of ovarian hormones on sleep in perimenopausal women, ii) summarize the potential underlying pathophysiology of menopausal sleep disturbances and iii) evaluate the implications of these findings for the therapeutic approach to sleep disturbances in the context of menopause. A systematic literature search using the databases Embase, MEDLINE and Cochrane Library was conducted. Keywords relating to ovarian hormones, sleep disturbances and menopause were used. Ultimately, 86 studies were included. Study Quality Assessment Tools of the National Institutes of Health were used for quality assessment. Results from good-quality studies demonstrated that the postmenopausal decline in estrogen and progesterone contributes to sleep disturbances in women and that timely treatment with estrogen and/or progesterone therapy improved overall sleep quality. Direct and indirect effects of both hormones acting in the central nervous system and periphery, as well as via secondary effects (e.g. reduction in vasomotor symptoms), can contribute to improvements in sleep. To strengthen external validity, studies examining neurobiological pathways are needed.

Efficacy of Internet-based cognitive behavioral therapy on sleeping difficulties in menopausal women: A randomized controlled trial

Sleeping difficulties are the most significant cause of disability in menopausal women. Cognitive behavioral therapy (CBT) is the first line of management for sleeping difficulties and chronic insomnia.

PURPOSE

To evaluate the efficacy of an Internet-based CBT program on sleeping difficulties in menopausal women.

DESIGN

This was a randomized controlled trial. A total of 80 eligible menopausal women who fit the criteria of poor sleep quality were randomly and evenly assigned to the CBT intervention group or the control group.

TOOLS

The tools used for data collection were the demographic sheet, Pittsburgh Sleep Quality Index, Insomnia Severity Index, and sleep diary. Internet-based CBT modules were administered to the intervention group. Six consecutive modules were held weekly for each participant. Sleep quality scores and insomnia index scores were considered the primary outcomes, while sleep diaries were the secondary outcomes. Self-administered questionnaires were given at baseline and 6 weeks after randomization.

FINDINGS

Internet-based CBT is effective in reducing sleeping difficulties, particularly sleep quality scores (-3.60 ± 2.76) and insomnia index scores (-5.10 ± 3.54) from baseline. Moreover, the program induced significant changes in sleep parameters, such as increased total sleep hours (t = 2.734, p = 0.008), increased sleep efficiency ≥85%, (t = 3.558, p = 0.001), and decreased sleep latency (t = 2.180, p = 0.033) compared with the control group.

CONCLUSION

The strong predictors of having very poor sleep quality were short duration since last menopause, severity of hot flashes, and short duration of sleep difficulties.

PRACTICE IMPLICATION

Internet-based CBT is a useful practical intervention for managing sleeping difficulties in menopausal women. The current study provides evidence on the efficacy and cost-effectiveness of Internet-based cognitive behavioral intervention; thus, we recommend this method as a practical and accessible intervention to improve sleep in menopausal women.

What happens after menopause? (WHAM): A prospective controlled study of sleep quality up to 12 months after premenopausal risk-reducing salpingo-oophorectomy

OBJECTIVE

Sleep difficulties impair function and increase the risk of depression at menopause and premenopausal oophorectomy may further worsen sleep. However, prospective data are limited, and it remains uncertain whether Hormone Therapy (HT) improves sleep. This prospective observational study measured sleep quality before and up to 12 months after risk-reducing salpingo-oophorectomy (RRSO) compared to a similar age comparison group who retained their ovaries.

METHODS

Ninety-five premenopausal women undergoing RRSO and 99 comparisons were evaluated over a 12-month period using the Pittsburgh Sleep Quality Index (PSQI).

RESULTS

Almost half reported poor sleep quality at baseline. Overall sleep quality was not affected by RRSO until 12 months (p = 0.007). However, sleep disturbance increased by 3 months and remained significantly elevated at 12 months (p < 0.001). Trajectory analysis demonstrated that 41% had increased sleep disturbance after RRSO which persisted in 17.9%. Risk factors for sleep disturbance included severe vasomotor symptoms, obesity and smoking. Around 60% initiated HT after RRSO. Sleep quality was significantly better in HT users vs non users (p = 0.020) but HT did not restore sleep quality to baseline levels.

CONCLUSIONS

Overall sleep quality is not affected by RRSO, but new onset sleep disturbance is common, particularly in those with severe vasomotor symptoms. Clinicians should be alert to new-onset sleep disturbance and the potential for HT to improve sleep quality.