Sleep medications and sleep disturbances across middle aged pre- or peri-menopausal women of different race and ethnicities: A SWAN pharmacoepidemiology cohort study

Global view of vasomotor symptoms and sleep disturbance in menopause: a systematic review

Studies have shown racial/ethnic differences in the prevalence of vasomotor symptoms (VMS), sleep disturbance and VMS treatment in menopause. To assess the reproducibility of these differences, we systematically reviewed observational studies, published in 2000-2021, reporting the prevalence/incidence of VMS, sleep disturbance or treatment use in menopausal women stratified by race/ethnicity. We screened 3799 records from PubMed and Embase and included 27 papers (19 studies). No incidence data were found. Prevalence data varied widely, but some common patterns emerged. In all five studies comparing VMS between Black women and White, Hispanic and/or East Asian women, the prevalence was highest in Black women and lowest in East Asian women. The prevalence of sleep disturbance overall was compared among Black, White and East Asian women in two study populations, and was highest in White women in both papers. Sleep disturbance was more common than VMS in East Asian women. In all four studies comparing hormone therapy use between White women and Black and/or East Asian women, treatment use was more common in White women. These results highlight the need for individualized counseling and treatment, outreach to under-served minorities, and standardized definitions and outcome measures for VMS and sleep disturbance for future studies.

Understanding the research on tracking, diagnosing, and intervening in sleep disorders using mHealth apps: Bibliometric analysis and systematic reviews

Objectives

In solving the global challenge of sleep disorders, Mobile Health app is one of the important means to monitor, diagnose, and intervene in sleep disorders. This study aims to (1) summarize the status and trends of research in this field; (2) assess the production and usage of sleep mHealth apps; (3) calculate the conversion rate of grants that the proportion of newly developed apps from being funded and developed to published on application stores.

Methods

Using bibliometric and content analysis methods, based on "Research Paper-Product Output-Product Application" chain and considering the "Research Grants" of articles, we conducted a systematic review of eight databases, to identify relevant studies over the last decade.

Results

Over the past decade, 1399 authors published 313 papers in 182 journals and conferences. The number of publications increased with an average annual growth of 41.6%. The current focus area is research using cognitive behavioral therapy to intervene in sleep. Sleep-staging tracking is a shortcoming of this field. A total 368 sleep mHealth apps (233 newly developed and 135 existing) were examined in 313 papers; 323 grants supported 178 articles (56.9%). Only 12 of the newly developed apps are used in the real world, resulting in a 9% grant conversion rate.

Conclusions

In the last decade, the field of tracking, diagnosing, and intervening in sleep disorders using mHealth apps has shown a trend of rapid development. However, the conversion rate of products from being funded and developed for use by end-users is low.

Modeling the change trajectory of sleep duration and its associated factors: based on an 11-year longitudinal survey in China

BACKGROUND

Sleep duration is a vital public health topic, yet most existing studies have been limited to cross-sectional surveys or inconsistent classifications of sleep duration categories, and few characterized its continuous development process. The current study aimed to depict its change trajectory in the general population and identify associated factors from a dynamic perspective.

METHODS

A total of 3788 subjects (45.4% male, mean age 46.72 ± 14.89 years) from the China Health and Nutrition Survey were recruited, and their daily sleep duration for five consecutive measurements from 2004 to 2015 was recorded. We adopted latent growth modelling to establish systematic relations between sleep duration and time. Participants' sociodemographic characteristics, lifestyle, and health factors were taken as covariates.

RESULTS

The change in sleep duration could be depicted by a linear decreasing trajectory with the mean yearly decrease at 2.5 min/day. The trajectory did not differ by residence, BMI category, chronic disease situation, smoking status, or drinking status. Moreover, there were sex and age differences in the trajectory, and females and those under 30 were prone to larger decrease rates.

CONCLUSION

The quantified yearly change in sleep duration provided insights for the prediction and early warning of insufficient sleep. Public health interventions focusing on slowing down the decrease rates among females and young individuals are warranted.

Prevalence of pain in women living with HIV aged 45-60: associated factors and impact on patient-reported outcomes

As the population of women with HIV ages, an increasing proportion are experiencing the menopause, with potential associated pain. Among 844 participants in the Positive Transitions Through the Menopause (PRIME) study (72.3% black African; median age 49 (interquartile-range 47-53) years; 20.9%, 44.0% and 35.1% pre-, peri- and post-menopausal), 376 (44.6%) and 73 (8.7%) reported moderate or extreme pain. Women had been diagnosed with HIV for 14 (9-18) years, 97.7% were receiving antiretroviral therapy and 88.4% had a suppressed viral load. In adjusted ordinal logistic regression, peri-menopausal status (adjusted odds ratio (1.80) [95% confidence interval 1.22-2.67]), current smoking (1.85 [1.11-3.09]), number of comorbid conditions (1.95 [1.64-2.33] /condition) and longer duration of HIV (1.12 [1.00-1.24]/5 years) were independently associated with increased reported pain, whereas being in full-time work (0.61 [0.45-0.83]) and having enough money for basic needs (0.47 [0.34-0.64]) were associated with decreased pain reporting. Increasing pain was independently related to insomnia symptoms (moderate: 2.76 [1.96-3.90]; extreme: 8.09 [4.03-16.24]) and severe depressive symptoms (PHQ4 ≥ 6; moderate: 3.96 [2.50-6.28]; extreme: 9.13 [4.45-18.72]). Whilst our analyses cannot determine the direction of any associations, our findings point to the importance of eliciting a history of pain and addressing symptoms in order to improve wellbeing.