Why is the prevalence of insomnia skyrocketing? And what can be done about it?

Association Between Sleeping Quality and Risk of Breast Cancer Among Women: A Case-Control Study From Pakistan

BACKGROUND

This case-control study investigated the relationship between sleep duration and quality with the occurrence of breast cancer among women, both pre- and post-menopausal, in the northwest Khyber Pakhtunkhwa (KP) region of Pakistan.

METHOD

This case-control research was carried in multiple tertiary care facilities. Newly diagnosed primary breast cancer patients were recruited as cases (n = 408), and 5+ years age-matched controls (n = 408) were randomly selected from the general population. Participants completed a Pittsburg sleeping quality index (PSQI) questionnaire that included questions on sleep characteristics. Statistical analysis included independent t-tests to compare mean sleep durations and quality scores between groups, and logistic regression to adjust for potential confounders.

RESULTS

Sleep onset latency between cases and controls was not significantly associated with health outcomes, with a P-value of .142. However, sleep duration showed a significant association (P = .049). For sleep duration, the adjusted odds ratio for ≤6 h was 1.02 (95% CI: .5-2.1), while for 7-8 h the adjusted odds ratio was 1.0 (95% CI: .6-1.6). Self-reported sleep quality did not demonstrate significant associations, with the P-value for "very good" sleep quality being .561. Sleep duration of less than 6 h among women with triple-negative breast cancer (TNBC) was found to be strongly associated with a more aggressive type of breast cancer, with an adjusted odds ratio of 1.5 (95% CI: 1.02-2.3, P < .05).

CONCLUSION

This study does not provide evidence to support an association between sleep duration or quality and the risk of breast cancer. However, it reports a significant association, with shorter sleep durations linked to an increased risk particularly in the context of aggressive breast cancer types such as TNBC.

Disclosing Critical Voice Features for Discriminating between Depression and Insomnia—A Preliminary Study for Developing a Quantitative Method

Background: Depression and insomnia are highly related—insomnia is a common symptom among depression patients, and insomnia can result in depression. Although depression patients and insomnia patients should be treated with different approaches, the lack of practical biological markers makes it difficult to discriminate between depression and insomnia effectively. Purpose: This study aimed to disclose critical vocal features for discriminating between depression and insomnia. Methods: Four groups of patients, comprising six severe-depression patients, four moderate-depression patients, ten insomnia patients, and four patients with chronic pain disorder (CPD) participated in this preliminary study, which aimed to record their speaking voices. An open-source software, openSMILE, was applied to extract 384 voice features. Analysis of variance was used to analyze the effects of the four patient statuses on these voice features. Results: statistical analyses showed significant relationships between patient status and voice features. Patients with severe depression, moderate depression, insomnia, and CPD reacted differently to certain voice features. Critical voice features were reported based on these statistical relationships. Conclusions: This preliminary study shows the potential in developing discriminating models of depression and insomnia using voice features. Future studies should recruit an adequate number of patients to confirm these voice features and increase the number of data for developing a quantitative method.

How Hyperarousal and Sleep Reactivity Are Represented in Different Adult Age Groups: Results from a Large Cohort Study on Insomnia

Hyperarousal is a 24-h state of elevated cognitive and physiological activation, and is a core feature of insomnia. The extent to which sleep quality is affected by stressful events—so-called sleep reactivity—is a vulnerability factor for developing insomnia. Given the increasing prevalence of insomnia with age, we aimed to investigate how hyperarousal and sleep reactivity were related to insomnia severity in different adult age groups. Data were derived from a large cohort study investigating the natural history of insomnia in a population-based sample (n = 1693). Baseline data of the Arousal Predisposition Scale (APS) and Ford Insomnia Response to Stress Test (FIRST) were examined across age and sleep/insomnia subgroups: 25–35 (n = 448), 35–45 (n = 528), and 45–55 year olds (n = 717); good sleepers (n = 931), individuals with insomnia symptoms (n = 450), and individuals with an insomnia syndrome (n = 312). Results from factorial analyses of variance (ANOVA) showed that APS scores decreased with increasing age, but increased with more severe sleep problems. FIRST scores were not significantly different across age groups, but showed the same strong increase as a function of sleep problem severity. The findings indicate that though arousal predisposition and sleep reactivity increase with more severe sleep problems, only arousal decreases with age. How arousing events affect an individual during daytime thus decreases with age, but how this arousal disrupts sleep is equivalent across different adult age groups. The main implication of these findings is that treatment of insomnia could be adapted for different age groups and take into consideration vulnerability factors such as hyperarousal and stress reactivity.

The Past Is Prologue: The Future of Sleep Medicine

ABSTRACT

The field of sleep medicine has gone through tremendous growth and development over a short period of time, culminating in recognition of the field as an independent medical subspecialty by the Accreditation Council for Graduate Medical Education (ACGME) and the American Board of Medical Specialties (ABMS). However, the fellowship training requirement that is now mandatory for sleep medicine board certification eligibility has had the unintended consequence of restricting the influx of young physicians to the field. In response to the potential workforce shortage confronting the field of sleep medicine, the American Academy of Sleep Medicine (AASM) board of directors has developed a comprehensive plan to strengthen the field by growing sleep fellowship programs, exploring novel sleep medicine training opportunities, creating and fostering the sleep team (with special emphasis on engagement of primary care providers), embracing the role of consumer sleep technologies, and expanding the reach of sleep specialists through telemedicine. The AASM plans summarized in this special article represent efforts to confront serious workforce challenges and turn them into opportunities that will improve the health of both our patients and our field.

Zolpidem use and risk of fractures: a systematic review and meta-analysis

Zolpidem is a representative of non-benzodiazepine hypnotics. Recent epidemiologic studies have reported increased fracture risk in patients taking zolpidem, but the results have been inconsistent. The present meta-analysis shows that the use of zolpidem is associated with an increased risk of fractures.

PURPOSE

Previous studies have reported inconsistent findings regarding the association between the use of zolpidem and the risk of fractures. We performed a systematic literature review and meta-analysis to assess the association.

METHODS

We identified relevant studies by searching MEDLINE, EMBASE, Cochrane Library, and PsycINFO without language restrictions (until August 2014). Methodological quality was assessed based on the Newcastle-Ottawa Scale (NOS).

RESULTS

A total of 1,092,925 participants (129,148 fracture cases) were included from 9 studies (4 cohort, 4 case-control, and 1 case-crossover study). Overall, the use of zolpidem was associated with an increased risk of fracture (relative risk [RR] 1.92, 95 % CI 1.65-2.24; I (2) = 50.9 %). High-quality subgroups (cohort studies, high NOS score, adjusted for any confounder, or adjusted for osteoporosis) had higher RRs than the corresponding low-quality subgroups (high quality, 1.94-2.76; low quality, 1.55-1.79). Of note, the risk for hip fracture was higher than that for fracture at any site (hip fracture, RR 2.80, 95 % CI 2.19-3.58; fracture at any site, RR 1.84, 95 % CI 1.67-2.03; P < 0.001).

CONCLUSIONS

The use of zolpidem may increase the risk of fractures. Clinicians should be cautious when prescribing zolpidem for patients at high risk of fracture.

Prospective study of predictors and consequences of insomnia: personality, lifestyle, mental health, and work-related stressors

OBJECTIVE

To prospectively investigate the reciprocal relationships between personality traits, lifestyle factors, mental health, sleepiness, and work-related stressors against insomnia.

METHODS

A total of 799 Norwegian shift-working nurses (mean age 33.2 years, 90% female) participated in this prospective cohort study. They were assessed on self-report instruments (Bergen Insomnia Scale, Diurnal Type Scale, Hospital Anxiety and Depression Scale, Negative Acts Questionnaire-Revised, Work-Family Interface Scale, among others) in 2008/2009 (wave 1) and 2011 (wave 3). Structural equation modeling was employed to investigate the bidirectional relationship between a wide range of individual and work-related variables and insomnia.

RESULTS

Languidity (β = 0.18***), anxiety (β = 0.11**), depression (β = 0.14***), exposure to bullying behavior (β = 0.08*), and negative spillover between work and family life (work to family, β = 0.08*; family to work, β = 0.07*) predicted increased symptoms of insomnia over time. Morningness (β = -0.09*) and positive spillover from work to family (β = -0.11**) predicted less symptoms of insomnia over time. No support was found for night work as a predictor of increased insomnia. Insomnia was a precursor for anxiety (β = 0.11**), but not for depression (*p <0.05, **p <0.01, ***p <0.001).

CONCLUSION

The data suggested that insomnia more often emerges as a consequence of individual and work-related factors than as a precursor to them. The scope of factors causing insomnia, and factors protecting against it, should be further investigated. Insomnia should be considered in prediction models for mental illnesses and as an outcome of adverse work-related experiences.