Insomnia with objective short sleep duration is associated with type 2 diabetes: A population-based study

Sleep features and the risk of type 2 diabetes mellitus: a systematic review and meta-analysis

OBJECTIVE

This study aimed to assess the associations between multidimensional sleep features and type 2 diabetes mellitus (T2DM).

METHODS

We conducted a systematic search across the PubMed, Embase, Web of Science, and Scopus databases for observational studies examining the association between nighttime sleep duration, nighttime sleep quality, sleep chronotype, and daytime napping with type 2 diabetes mellitus (T2DM), up to October 1, 2024. If I2 < 50%, a combined analysis was performed based on a fixed-effects model, and vice versa, using a random-effects model.

RESULTS

Our analysis revealed that a nighttime sleep duration of less than 7 h (odds ratio [OR] = 1.18; 95% CI = 1.13, 1.23) or more than 8 h (OR = 1.13; 95% CI = 1.09, 1.18) significantly increased the risk of T2DM. Additionally, poor sleep quality (OR = 1.50; 95% CI = 1.30, 1.72) and evening chronotype (OR = 1.59; 95% CI = 1.18, 2.13) were associated with a notably greater risk of developing T2DM. Daytime napping lasting more than 30 min augments the risk of T2DM by 7-20%. Interactively, the incidence of T2DM was most significantly elevated among individuals with poor sleep quality and nighttime sleep duration of more than 8 h (OR = 2.15; 95% CI = 1.19, 3.91).

CONCLUSIONS

A U-shaped relationship was observed between sleep duration and type 2 diabetes mellitus (T2DM), with the lowest risk occurring at a sleep duration of 7 to 8 h. Additionally, poor sleep quality, evening chronotypes, and daytime napping exceeding 30 min emerged as potential risk factors for T2DM. These high-risk sleep characteristics interacted with one another, amplifying the overall risk of developing the disease.

Interactive effect of sleep duration and trouble sleeping on frailty in chronic kidney disease: findings from NHANES, 2005-2018

BACKGROUND

Both sleep disorders and chronic kidney disease (CKD) are recognized as significant public health concerns. In the general population, sleep disorders have been shown to be associated with frailty in the elderly. This study aims to evaluate the association between sleep duration and trouble sleeping with frailty in CKD patients, as well as the potential interactive effect between these two factors.

METHODS

This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005-2018. Sleep duration and trouble sleeping was self-reported. Frailty was assessed using a 49-item frailty index. The associations between sleep duration, trouble sleeping, and frailty were analyzed using weighted multivariate logistic regression and restricted cubic splines. Subgroup analysis was conducted to determine the consistency of the study's conclusions across various subgroups.

RESULTS

A total of 5,211 adult CKD patients were included in this analysis. Regression analysis results indicated that short sleep duration (OR = 1.364, 95% CI: 1.152-1.616), long sleep duration (OR = 1.648, 95% CI: 1.259-2.157), and trouble sleeping (OR = 2.572, 95% CI: 2.102-3.147) were significantly associated with an increased risk of frailty in CKD patients, with an interaction between sleep duration and trouble sleeping. Subgroup analysis revealed that the effects of trouble sleeping and sleep duration on frailty symptoms in CKD patients exhibit significant variation across age groups (p < 0.05 for interaction), with no notable differences observed in other subgroups. RCS results demonstrated a U-shaped relationship between frailty and sleep duration, with the lowest risk of frailty at 7.12 h of sleep.

CONCLUSION

Our findings indicated that both sleep duration and trouble sleeping were significantly associated with frailty in CKD patients, with a notable interaction between these two factors. Therefore, prevention and intervention strategies for frailty in CKD patients should address multiple aspects of sleep health.

Jujuboside A improves insomnia by maintaining mitochondrial homeostasis in prefrontal neurons

OBJECTIVE

Jujuboside A (JB-A) is the major component of Semen Ziziphi Spinosae (SZS), a traditional Chinese herbal medicine used to treat sleep with clinical efficacy. This is the first study to investigate the effects of JB-A on mitochondrial structure and function in the prefrontal cortex of the insomnia model mice.

METHODS

Young adult C57BL/6 mice were induced to develop insomnia by P-chlorophenylalanine. After 14 d of JB-A treatment via gavage, anxiety level was assessed using the open field and elevated plus maze tests. Next, the mitochondrial metabolic activity and morphological changes in the prefrontal cortex of each group of mice, as well as their effects on mitochondrial membrane potential, oxidative phosphorylation levels, and cytochrome c (Cyt c) content in neurons were measured.

RESULTS

In our mouse model, JB-A ameliorated anxiety-like behaviors; up-regulated the membrane potential (Δψm) and had a therapeutic effect on the metabolic activity and damaged microscopic structure of mitochondria in the prefrontal cortex; effectively improved mitochondrial function by increasing the expression of Cyt c oxidase I and IV proteins, ATPase activity, and ATP content; and reduced the accumulation of Cyt c in the neuronal cytoplasm while inhibiting mitochondrial permeability transition pore (mPTP) opening.

CONCLUSIONS

JB-A can improve insomnia by restoring mitochondrial intracellular oxidative phosphorylation, regulating mPTP to maintain mitochondrial homeostasis, and alleviating structural damage, providing a scientific basis for finding new targets for insomnia treatment.

Obesity and sleep disorders: A bidirectional relationship

AIMS

Obesity and sleep disorders are highly prevalent conditions with profound implications for public health. Emerging evidence highlights a bidirectional relationship between these two conditions, with each exacerbating the other in a complex interplay of behavioral, physiological, and hormonal mechanisms. Sleep deprivation and poor sleep quality contribute to energy imbalance through dysregulation of appetite hormones (e.g., leptin and ghrelin), increased caloric intake, and reduced physical activity. Conversely, sleep disorders such as obstructive sleep apnea syndrome (OSAS), insomnia, and restless leg syndrome (RLS) are significantly more common in individuals with obesity.

DATA SYNTHESIS

This review explores the pathophysiological mechanisms underlying this relationship, including the roles of inflammation, autonomic dysregulation, and neuroendocrine pathways. Sleep loss exacerbates metabolic syndrome components, including insulin resistance and dyslipidemia, further perpetuating weight gain. Similarly, obesity-induced sleep disorders lead to pro-inflammatory states, vascular dysfunction, and sympathetic overactivation, compounding cardiometabolic risks. Specific conditions like OSA and RLS are examined as models of this interdependence, emphasizing their shared pathways and clinical implications.

CONCLUSIONS

The bidirectional link between obesity and sleep disorders underscores the importance of integrating sleep assessment and management into obesity treatment strategies. Addressing this relationship could mitigate the progression of cardiometabolic comorbidities and improve overall health outcomes. Moreover, the intertwined dynamics between obesity, sleep disorders, and mental health-mediated by inflammatory pathways, hormonal dysregulation, and neurobehavioral factors-highlight the critical need for integrated treatment approaches targeting physical, psychological, and sleep-related dimensions to enhance health and quality of life.

Incidence and Predictors of Long-Term Hypnotic Receipt among Patients with Chronic Obstructive Pulmonary Disease

Rationale: Many patients with chronic obstructive pulmonary disease (COPD) receive hypnotic prescriptions to mitigate insomnia symptoms. Although clinical practice guidelines advise short-term use, patients often receive these medications on a long-term basis. Because patients with COPD may be more susceptible to adverse effects of hypnotic medication, it is critical that we better understand the incidence and potential influences of this practice. Objectives: To characterize the incidence and predictors of guideline-discordant long-term receipt of hypnotic medications among patients with COPD. Methods: Using nationwide Veterans Health Administration data, we identified patients with clinically diagnosed COPD from 2010 to 2019 without prior hypnotic medication receipt in the previous 1 year. To identify individuals with new hypnotic agent use, we restricted this sample to those who received at least 30 total days of zolpidem, melatonin, trazodone, and/or doxepin within a 90-day period. We defined long-term hypnotic medication receipt as continued availability of one of these hypnotic medications for ≥30 days within the subsequent 90-day period. We then used a mixed-effects logistic regression model to assess patient and site-level associations with long-term receipt. Results: Among 4,262 patients with COPD and new hypnotic medication receipt, 55.6% (n = 2,371) continued to receive hypnotic medications on a long-term basis. Long-term receipt was positively associated with short-acting β-agonist receipt (for every 10% increase in days with short-acting β-agonist availability, odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02-1.05), maintenance inhaler prescriptions (monotherapy, OR, 1.35; 95% CI, 1.10-1.68; dual therapy, OR, 1.43; 95% CI, 1.20-1.70; triple therapy, OR, 1.54; 95% CI, 1.24-1.91), posttraumatic stress disorder (OR, 1.21; 95% CI, 1.02-1.44), major depressive disorder (OR, 1.24; 95% CI, 1.07-1.44), anxiety disorder (OR, 1.21; 95% CI, 1.03-1.44), and more frequent primary care visits (more than five visits in the past 12 mo, OR, 1.86; 95% CI, 1.19-2.90). Long-term receipt was negatively associated with initial receipt of melatonin (OR, 0.70; 95% CI, 0.55-0.91) and more than one pulmonary visit in the previous 12 months (OR, 0.74; 95% CI, 0.56-0.97). Conclusions: Despite guideline recommendations, long-term hypnotic medication receipt is common among patients with COPD. Future work to prevent long-term hypnotic prescriptions should consider the role that respiratory symptoms and mental health comorbidities may have in driving this practice.

Insomnia symptom trajectories and incident cardiovascular disease in older adults: a longitudinal cohort study

BACKGROUND

Insomnia symptoms are prevalent in older adults and linked to cardiovascular disease (CVD), but the role of long-term symptom trajectories remains unclear. We investigated associations between insomnia symptoms, their trajectories over time and incident CVD in a population-based cohort.

METHODS

This longitudinal study included 12 102 participants aged ≥50 years without baseline CVD from the US Health and Retirement Study (2002-2018). Insomnia symptoms (non-restorative sleep, difficulty initiating/maintaining sleep, early awakening) were assessed at baseline; trajectories were modelled over 4 years (2002-2006) using latent class analysis. Cox models estimated HRs for incident CVD (heart disease or stroke), adjusted for sociodemographics, lifestyle and comorbidities.

RESULTS

During a median of 10.2-year follow-up, 3962 incident CVD events occurred. Compared with no symptoms, participants with one, two, or three to four symptoms had higher CVD risk (HR 1.16, 95% CI 1.05 to 1.27; HR 1.16, 95% CI 1.05 to 1.28; HR 1.26, 95% CI 1.15 to 1.38, respectively). Four trajectories were identified: persistent low (56.3%), decreasing (27.1%), increasing (7.2%) and persistent high (9.5%). Compared with persistent low, increasing (HR 1.28, 95% CI 1.10 to 1.50) and persistent high (HR 1.32, 95% CI 1.15 to 1.50) trajectories were associated with elevated CVD risk.

CONCLUSIONS

Greater burden of insomnia symptoms at baseline and trajectories over time were associated with higher CVD incidence in older adults.

Diabetic peripheral neuropathy detection of type 2 diabetes using machine learning from TCM features: a cross-sectional study

AIMS

Diabetic peripheral neuropathy (DPN) is the most common complication of diabetes mellitus. Early identification of individuals at high risk of DPN is essential for successful early intervention. Traditional Chinese medicine (TCM) tongue diagnosis, one of the four diagnostic methods, lacks specific algorithms for TCM symptoms and tongue features. This study aims to develop machine learning (ML) models based on TCM to predict the risk of diabetic peripheral neuropathy (DPN) in patients with type 2 diabetes mellitus (T2DM).

METHODS

A total of 4723 patients were included in the analysis (4430 with T2DM and 293 with DPN). TFDA-1 was used to obtain tongue images during a questionnaire survey. LASSO (least absolute shrinkage and selection operator) logistic regression model with fivefold cross-validation was used to select imaging features, which were then screened using best subset selection. The synthetic minority oversampling technique (SMOTE) algorithm was applied to address the class imbalance and eliminate possible bias. The area under the receiver operating characteristic curve (AUC) was used to evaluate the model's performance. Four ML algorithms, namely logistic regression (LR), random forest (RF), support vector classifier (SVC), and light gradient boosting machine (LGBM), were used to build predictive models for DPN. The importance of covariates in DPN was ranked using classifiers with better performance.

RESULTS

The RF model performed the best, with an accuracy of 0.767, precision of 0.718, recall of 0.874, F-1 score of 0.789, and AUC of 0.77. With a value of 0.879, the LGBM model appeared to be the best regarding recall Age, sweating, dark red tongue, insomnia, and smoking were the five most significant RF features. Age, yellow coating, loose teeth, smoking, and insomnia were the five most significant features of the LGBM model.

CONCLUSIONS

This cross-sectional study demonstrates that the RF and LGBM models can screen for high-risk DPN in T2DM patients using TCM symptoms and tongue features. The identified key TCM-related features, such as age, tongue coating, and other symptoms, may be advantageous in developing preventative measures for T2DM patients.

The association between insomnia (related symptoms) and glycaemic control: a systematic review and meta-analysis

Background

Insomnia characterised by difficulties in falling asleep and maintaining sleep, and early awaking, is a prevalent worldwide sleep disorder. While previous studies have suggested an association between insomnia and adverse glycaemic control, the evidence remains inconclusive. Therefore, this meta-analysis aims to explore this association.

Methods

Insomnia was assessed based on defined criteria, including related symptoms such as poor sleep quality and low sleep efficiency. Glycaemic control was evaluated using indicators such as fasting plasma glucose, haemoglobin A1c, and the presence of diabetes. A literature search was performed in PubMed, Web of Science, and Scopus. The quality of the included studied was assessed using The Newcastle-Ottawa Scale. Effect sizes, including odds ratio, relative risk, mean difference, and standard mean difference, were chosen based on data type. Forest plots visually displayed pooled effect sizes and corresponding 95% confidence intervals, while the I2 test calculated heterogeneity. Meta-regression and subgroup analysis explored potential sources of heterogeneity. Leave-one-out sensitivity analysis assessed result robustness, and Begg's and Egger's tests evaluated publication bias.

Results

Ninety-one articles, comprising 84 are cross-sectional studies, (five are case-control studies, and two are cohort studies) with 2 217 521 participants, were included. Ten separate meta-analyses were conducted based on variable type (binary/continuous), study design (cross-sectional, case-control, or cohort), and measurement of exposures/outcomes. All meta-analyses indicated a positive association between insomnia (related symptoms) and adverse glycaemic control. However, three meta-analyses showed significant heterogeneity, and three lacked robustness. No publication bias was detected across any of the analyses.

Conclusions

Insomnia is likely associated with adverse glycaemic control. As the included studies are observational, future research should prioritise diverse methodologies and robust study designs to further explore this complex relationship.

Keywords

insomnia, insomnia related symptoms, glycaemic control, systematic review, meta-analysis.

Registration

PROSPERO CRD42024491688.

Impact of Family Cohabitation Status and Work-From-Home on Sleep Problems Among Japanese Workers During the COVID-19 Pandemic: A Cross-sectional Study

OBJECTIVE

This cross-sectional study examined the impact of family cohabitation status and work-from-home (WFH) on sleep during the COVID-19 pandemic.

METHODS

An online survey of 27,036 Japanese workers assessed WFH frequency, family cohabitation, and trouble sleeping to estimate odds ratios (ORs) for sleep problems from December 22 to 26, 2020.

RESULTS

In multivariate analysis, WFH had no significant benefit for trouble sleeping ≥3 months. Interactions were observed between WFH and cohabitation with elementary school children (OR = 1.26, P = 0.049 for trouble sleeping ≥3 months) and with family members in need of care (OR = 1.39, P = 0.013 for trouble sleeping ≥3 days/week; OR = 1.37, P = 0.02 for trouble sleeping ≥3 months).

CONCLUSIONS

The study suggests that the sleep disadvantage during the pandemic may have resulted from WFH with specific cohabitation.

A review of symptom, pathogenesis and treatment characteristics of the elderly with chronic insomnia

One third of a person's life is in a state of sleep, and good sleep quality is one of the indicators of health. Long-term insomnia has a great impact on patients' quality of life, physical and mental state. Especially in the elderly, long-term insomnia will induce a variety of chronic diseases, seriously affecting the quality of life. Because of the characteristics of the physiological structure of the elderly, insomnia in the elderly has its unique characteristics different from that of the young. This article reviews the characteristics of chronic insomnia in the elderly in terms of symptom, pathogenesis and treatment. By elaborating the characteristics of senile chronic insomnia, we hope to provide ideas for clinical treatment of senile chronic insomnia.

Maternal early pregnancy body mass index and risk of insomnia in the offspring

STUDY OBJECTIVES

To investigate the association between maternal early pregnancy body mass index (BMI) and risk of offspring insomnia.

METHODS

We conducted a nationwide cohort study among 3 281 803 singleton live births in Sweden born 1983-2015. Using national registries with prospectively recorded information, we followed participants for an insomnia diagnosis from 2 to up to 35 years of age. We compared insomnia risks by early pregnancy BMI categories using hazard ratios (HR) with 95% confidence intervals (CI) from adjusted Cox models. To assess unmeasured shared familial confounding, we conducted sibling-controlled analyses among 1 724 473 full siblings and studied the relation of maternal full sisters' BMI and insomnia risk in 1 185 998 offspring.

RESULTS

There were 7154 insomnia diagnoses over a median follow-up age of 17.9 years. Compared with women with normal BMI, adjusted HR (95% CI) of offspring insomnia for early pregnancy BMI categories overweight, obesity class I, and obesity classes II or III were, respectively, 1.22 (1.14, 1.30), 1.60 (1.45, 1.77), and 2.11 (1.83, 2.45). Corresponding adjusted HR (95% CI) in sibling comparisons were, respectively, 1.32 (1.05, 1.65), 1.48 (1.03, 2.14), and 1.56 (0.91, 2.65). Associations with maternal sisters' BMI were attenuated, suggesting a weak role for unmeasured shared factors. Other pregnancy, birth, and neonatal complications were associated with the risk of insomnia in offspring but did not substantially mediate the association.

CONCLUSIONS

The dose-response relation between maternal overweight and obesity severity with offspring insomnia risk is not fully explained by shared familial factors.

Association between slow wave sleep and blood pressure in insomnia

STUDY OBJECTIVES

The majority of patients with insomnia exhibit abnormal sleep in objective testing (e.g. decreased sleep duration, decreased slow wave sleep [SWS]). Previous studies have suggested that some of these objective measures of poor sleep, such as decreased sleep duration, are associated with a higher risk of hypertension in insomnia. We examined the relationship between SWS and morning and evening blood pressure (BP) levels in patients with clinically diagnosed insomnia.

METHODS

A total of 229 normal sleepers and 1378 insomnia patients were included in this study. Insomnia was defined based on standard diagnostic criteria with symptoms lasting ≥6 months. All participants underwent in-laboratory polysomnography. Patients were classified into quartiles of percent SWS. Evening and morning hypertension were defined using BP measurements taken in the evening before and in the morning after polysomnography, respectively. Multivariable logistic regression models were used to assess the relationship between insomnia, SWS, and hypertension.

RESULTS

Insomniacs with <3.5% SWS (OR 3.27, 95% confidence intervals [CI]: 1.31 to 7.66) and those with 3.5%-10.2% SWS (OR 2.38, 95% CI: 1.28 to 5.91) had significantly greater odds of morning hypertension compared to normal sleepers. No associations were seen in insomnia with 10.2%-15.8% SWS and with >15.8% SWS. Significant effect modifications by sex (p = .043) were found, as decreased SWS was associated with morning hypertension only in men. Odds of evening hypertension were not significantly associated with SWS.

CONCLUSIONS

Decreased SWS is associated with morning hypertension in a dose-dependent manner in insomnia, especially in men.

Microbiome-Based Therapeutics for Insomnia

Insomnia poses considerable risks to both physical and mental health, leading to cognitive impairment, weakened immune function, metabolic dysfunction, cardiovascular issues, and reduced quality of life. Given the significant global increase in insomnia and the growing scientific evidence connecting gut microbiota to this disorder, targeting gut microbiota as an intervention for insomnia has gained popularity. In this review, we summarize current microbiome-based therapeutics for insomnia, including dietary modifications; probiotic, prebiotic, postbiotic, and synbiotic interventions; and fecal microbiota transplantation. Moreover, we assess the capabilities and weaknesses of these technologies to offer valuable insights for future studies.

Sleep Deficiency in Obstructive Sleep Apnea

Sleep deficiency in patients with obstructive sleep apnea (OSA) includes abnormal quality, timing and duration of sleep, and the presence of other comorbid conditions. These include insomnia, circadian misalignment disorders, and periodic limb movements of sleep, among others. The co-occurrence of these conditions with OSA likely plays a role in pathogenesis, clinical presentation, and management of OSA. Considering these conditions and their treatment in evaluating sleep deficiency in OSA may help improve patient outcomes. However, future research is needed to understand the intersection between OSA and these disorders.

Investigating the interaction between major dietary patterns and psychological disorders in association with sleep quality and quantity among Iranian adults: YaHS-TAMYZ study

Objectives

The aim of the present study was to investigate if major dietary patterns (DPs) interact with psychological disorders (PDs) in association with sleep quality and quantity among a large sample of Iranian adults living in Yazd, Iran.

Methods

This cross-sectional investigation was conducted on the baseline data of a population-based Iranian cohort study (Yazd Health Study-Taghzieh Mardom-e-YaZd: YaHS-TAMYZ). All data regarding dietary intakes, PDs, and sleep status were collected via validated questionnaires. The interaction between major DPs and PDs in relation to sleep parameters was determined using multivariable adjusted binary logistic regression.

Results

A total of 6048 adults participated in this study. Compared to subjects with the lowest adherence to each DP and without any severe PDs: a) individuals with the highest adherence to the "western" DP and with severe anxiety had higher risk of "short sleep duration" (P = 0.030) and "insufficient sleep" (P = 0.020); b) subjects in the "western" DP's top tertile and with severe depression had lower chance of having "short sleep duration" (P = 0.029) and "insufficient sleep" (P = 0.029); c) those with the highest adherence to the "high animal protein" DP and with severe anxiety had significantly greater odds of "long sleep duration" (P = 0.044); d) a lower chance of "low sleep quality" was observed in participants in the "high animal protein" DP's top tertile and with severe stress (P = 0.05).

Conclusions

The "western" and "high animal protein" DPs might interact with PDs in association with the quality and duration of sleep. Further investigations are needed to confirm our findings.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-024-01494-4.

Obstructive sleep apnea comorbid with insomnia symptoms and objective short sleep duration is associated with clinical and preclinical cardiometabolic risk factors: Clinical implications

BACKGROUND

Insomnia with objective short sleep duration (ISSD) but not insomnia with normal sleep duration (INSD) is associated with cardiometabolic morbidity. It has been reported that sleep apnea comorbid with insomnia (COMISA) confers higher cardiovascular risk than each condition alone. We hypothesize that the association of COMISA with clinical (hypertension) and preclinical (inflammatory and metabolic) biomarkers is driven by the ISSD phenotype.

METHODS

A clinical sample of 101 adults with mild-to-moderate OSA (mmOSA) (5 ≤ AHI <30) and insomnia symptoms underwent polysomnography or home sleep apnea testing, blood pressure measures (BP), fasting blood glucose, insulin, CRP and IL-6 plasma levels. Insomnia was based on PSQI. Objective short sleep duration was based on the median total sleep time of the sample. Participants were classified into 2 groups based on objective sleep duration: mmOSA with ISSD vs. mmOSA with INSD. Analysis of covariance and logistic regression analysis were conducted controlling for confounders.

RESULTS

Systolic and diastolic BP were elevated in the ISSD group compared to INSD group (p = 0.039 and p = 0.004, respectively). Also, the risk of hypertension was significantly higher in the ISSD (OR = 3.88, 95%CI = 1.26-11.95, p < 0.05) compared to INSD group. Plasma IL-6 concentrations and insulin resistance as indexed by glucose/insulin ratio were significantly higher in the ISSD group compared to INSD group (both p < 0.05). CRP levels were not different between the two groups.

CONCLUSION

It appears that the additive adverse effects of COMISA on cardiometabolic risks are driven by the ISSD phenotype, a finding with potential implications for further phenotyping COMISA.

The bidirectional relationship between sleep problems and chronic musculoskeletal pain: a systematic review with meta-analysis

ABSTRACT

Chronic musculoskeletal pain and sleep problems/disorders exhibit a recognized bidirectional relationship; yet, systematic investigations of this claim, particularly in a prospective context, are lacking. This systematic review with meta-analysis aimed to synthesize the literature on the prospective associations between sleep problems/disorders and chronic musculoskeletal pain. A comprehensive search across 6 databases identified prospective longitudinal cohort studies in adults examining the relationship between sleep problems/disorders and chronic musculoskeletal pain. Random-effects meta-analyses, using the Hartung-Knapp adjustment for 95% confidence intervals (CIs), were conducted, and all results were presented as odds ratios (ORs). Certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluations approach. Including 16 articles from 11 study populations (116,746 participants), meta-analyses indicated that sleep problems at baseline may heighten the risk of chronic musculoskeletal pain in both short term (OR 1.64, 95% CI 1.01-2.65) and long term (OR 1.39, 95% CI 1.21-1.59). The evidence for different sleep problem categories was very uncertain. Chronic musculoskeletal pain at baseline may increase the risk of short-term sleep problems (OR 1.56, 95% CI 1.02-2.38), but long-term evidence was very uncertain. The impact of only local or only widespread pain on short-term sleep problems was very uncertain, whereas widespread pain may elevate the risk of long-term sleep problems (OR 2.0, 95% CI 1.81-2.21). In conclusion, this systematic review with meta-analysis suggests that sleep problems are associated with an increased risk of chronic musculoskeletal pain, but the bidirectional nature of this relationship requires further investigation.

Effect of minimal cognitive behavioral therapy for patients with acute insomnia: A systematic review and meta-analysis

OBJECTIVES

The current literature lacks a clear evaluation of the effectiveness of Cognitive Behavioral Therapy for Insomnia (CBT-I) on acute insomnia. Our study aims to address this issue through a systematic review and meta-analysis of Randomized Controlled Trials (RCTs).

METHOD

We systematically searched PubMed, Embase, and Cochrane Library in April 2024 for RCTs comparing patients with clinically significant insomnia symptoms for less than 6 months (ie, acute insomnia) assigned to 1-6 weeks of CBT-I versus no CBT-I.

RESULTS

We included four RCTs comprising 327 patients with acute insomnia, of whom 162 (49.5 %) were randomized to CBT-I. CBT-I significantly reduced the Insomnia Severity Index score (MD -5.28; 95 % CI -6.01, -4.56; p < 0.00001; I2 = 18 %), the incidence of chronic insomnia (MD 0.50; 95 % CI 0.35, 0.70; p < 0.0001; I2 = 0 %), and the sleep latency (MD -11.04; 95 % CI -18.46, -3.61; p = 0.004; I2 = 0 %).

CONCLUSION

These findings provide preliminary evidence that minimal CBT-I may be a feasible and effective preventive measure against chronic insomnia. However, future RCTs and effectiveness trials are necessary to validate, with greater statistical power, the hypothesis that CBT-I can prevent transition from acute to chronic insomnia, given the limited number of studies in our meta-analysis.

Sex Differences in the Associations Between Chronic Diseases and Insomnia Symptoms Among Older Adults in India

Background

Sleep problems are a critical issue in the aging population, affecting quality of life, cognitive efficiency, and contributing to adverse health outcomes. The coexistence of multiple diseases is common among older adults, particularly women. This study examines the associations between specific chronic diseases, multimorbidity, and insomnia symptoms among older Indian men and women, with a focus on the interaction of sex in these associations.

Methods

Data were drawn from 31,464 individuals aged 60 and older in the Longitudinal Ageing Study in India, Wave-1 (2017-18). Insomnia symptoms were assessed using four questions adapted from the Jenkins Sleep Scale (JSS-4), covering difficulty falling asleep, waking up, waking too early, and feeling unrested during the day. Multivariable logistic regression models, stratified by sex, were used to analyze the associations between chronic diseases and insomnia symptoms.

Results

Older women had a higher prevalence of insomnia symptoms than men (44.73% vs 37.15%). Hypertension was associated with higher odds of insomnia in both men (AOR: 1.20) and women (AOR: 1.36). Women with diabetes had lower odds of insomnia (AOR: 0.80), while this association was not significant in men. Neurological or psychiatric disorders, stroke, and bone and joint diseases were linked to higher odds of insomnia in both sexes. Chronic lung disease was associated with insomnia in men (AOR: 1.65), but not in women. Additionally, having three or more chronic diseases significantly increased the odds of insomnia in both men (AOR: 2.43) and women (AOR: 2.01).

Conclusion

Hypertension, bone and joint diseases, lung diseases, stroke, neurological or psychiatric disorders, and multimorbidity are linked to insomnia symptoms in older Indian adults. Disease-specific management and routine insomnia screening are crucial for promoting healthy aging in this vulnerable population.

Predicting response to stepped-care cognitive behavioral therapy for insomnia using pre-treatment heart rate variability in cancer patients

OBJECTIVE

This study examined whether high frequency heart-rate variability (HF-HRV) and HF-HRV reactivity to worry moderate response to cognitive behavioural therapy for insomnia (CBT-I) within both a standard and stepped-care framework among cancer patients with comorbid insomnia. Biomarkers such as HF-HRV may predict response to CBT-I, a finding which could potentially inform patient allocation to different treatment intensities within a stepped-care framework.

METHODS

177 participants (86.3 % female; Mage = 55.3, SD = 10.4) were randomized to receive either stepped-care or standard CBT-I. 145 participants had their HRV assessed at pre-treatment during a rest and worry period. Insomnia symptoms were assessed using the Insomnia Severity Index (ISI) and daily sleep diary across five timepoints from pre-treatment to a 12-month post-treatment follow-up.

RESULTS

Resting HF-HRV was significantly associated with pre-treatment sleep efficiency and sleep onset latency but not ISI score. However, resting HF-HRV did not predict overall changes in insomnia across treatment and follow-up. Similarly, resting HF-HRV did not differentially predict changes in sleep diary parameters across standard or stepped-care groups. HRV reactivity was not related to any of the assessed outcome measures in both cross-sectional and longitudinal analyses.

CONCLUSION

Although resting HF-HRV was related to initial daily sleep parameters, HF-HRV measures did not significantly predict longitudinal responses to CBT-I. These findings suggest that HF-HRV does not predict treatment responsiveness to CBT-I interventions of different intensity in cancer patients.

Cardiovascular Implications of Sleep Disorders Beyond Sleep Apnea

PURPOSE OF REVIEW

Sleep is crucial for human health and life. There is still limited attention to the association between sleep disorders beyond sleep apnea and cardiovascular (CV) health. We investigated the current evidence between non-respiratory sleep disorders and CV health.

RECENT FINDINGS

Current evidence suggests an important association between sleep duration, circadian rhythm, insomnia, disorders of hypersomnolence and CV health. Sleep-related movement disorders exhibit a moderate association with CV health. Further research is needed to explore the effects of each sleep disorder on CV health.

SUMMARY

Given the close association between non-respiratory sleep disorders and CV health, it is crucial to recognize and address sleep disorders in patients with a high CV risk.

Characteristics of obstructive sleep apnea related to insulin resistance

BACKGROUND

Obstructive sleep apnea (OSA) is associated with multiple comorbidities, including diabetes. Its development is preceded by alterations in the initial phase of carbohydrate metabolism characterized by insulin resistance. This study aims to evaluate the role of intermittent hypoxia and sleep fragmentation characteristic of OSA on the risk of insulin resistance among apneic patients without diabetes.

METHODOLOGY

92 consecutive patients with OSA without evidence of diabetes were recruited. Overnight video polysomnography was performed and, the following morning, fasting blood glucose, insulin and glycosylated hemoglobin were determined. Insulin resistance was measured using the HOMA-IR index.

RESULTS

Insulin resistance was present in 52.2% of OSA patients. In these subjects, insulin resistance was independently associated to the apnea index during REM sleep (adjusted odds ratio [aOR] 1.09; 95% CI, 1.03 to 1.16; p = 0.004), desaturation index (aOR 1.08; 95% CI: 1.04 to 1.13; p = 0.027), and sleep time with oxygen saturation below 90% (aOR 1.04; 95% CI 1.00 to 1.08; p = 0.049). Furthermore, the HOMA-IR level was also directly related to the desaturation index (standardized regression coefficient [B] = 0.514, p < 0.001) and to the apnea index during REM sleep (B = 0.344, p = 0.002).

CONCLUSIONS

Intermittent hypoxia and disturbances in REM sleep emerge as main contributors to insulin resistance in OSA patients yet to experience diabetes onset.

Insomnia with objective but not subjective short sleep duration is associated with incident cardiovascular and/or cerebrovascular disease

STUDY OBJECTIVES

Insomnia with objective short sleep duration (ISSD) has been associated with cardiometabolic outcomes (ie, hypertension or diabetes). We examined whether ISSD, based on objective or subjective sleep measures, is associated with more serious health problems, such as incident cardiovascular and/or cerebrovascular disease (CBVD).

METHODS

1,258 men and women from the Penn State Adult Cohort (56.9% women, aged 48.3 ± 12.95 years) without CBVD at baseline were followed up for 9.21 ± 4.08 years. The presence of CBVD was defined as a history of diagnosis or treatment of heart disease and/or stroke. Insomnia was defined as a complaint of insomnia with a duration ≥ 1 year. Poor sleep was defined as a complaint of difficulty falling asleep, staying asleep, nonrestorative sleep, or early morning awakening. Objective short sleep duration was defined as < 6 hours' sleep based on polysomnography. Subjective short sleep duration was based on the median self-reported percentage of sleep time (ie, < 7 hours).

RESULTS

Compared with normal sleepers with normal sleep duration, the highest risk of incident CBVD was in the ISSD group (odds ratio = 2.46, 95% confidence interval = 1.04-5.79), and the second highest was in normal sleepers with short sleep duration (odds ratio = 1.68, 95% confidence interval = 1.11-2.54). The risk of incident CBVD was not significantly increased in poor sleepers or those with insomnia with normal sleep duration. Finally, insomnia with subjective short sleep duration was not associated with increased incident CBVD.

CONCLUSIONS

These data add to the cumulative evidence that ISSD, based on objective but not subjective measures, is the more severe biological phenotype of the disorder associated with incident CBVD.

CITATION

Pejovic S, Vgontzas AN, Fernandez-Mendoza J, et al. Insomnia with objective but not subjective short sleep duration is associated with incident cardiovascular and/or cerebrovascular disease. J Clin Sleep Med. 2024;20(7):1049-1057.

A meta-analysis of the association between insomnia with objective short sleep duration and risk of hypertension

The aim of this meta-analysis was to examine the association between insomnia with objective short sleep duration (ISSD) with prevalent and incident hypertension in cross-sectional and longitudinal studies, respectively. Data were collected from 6 cross-sectional studies with 5914 participants and 2 longitudinal studies with 1963 participants. Odds ratios (ORs) for prevalent and risk ratios (RRs) for incident hypertension were calculated through meta-analyses of adjusted data from individual studies. Compared to normal sleepers with objective normal sleep duration (NNSD), ISSD was significantly associated with higher pooled OR for prevalent hypertension (pooled OR = 2.67, 95%CI = 1.45-4.90) and pooled RR for incident hypertension (pooled RR = 1.95, 95%CI = 1.19-3.20), respectively. Compared to insomnia with objective normal sleep duration, ISSD was associated with significantly higher pooled OR of prevalent hypertension (pooled OR = 1.94, 95%CI = 1.29-2.92) and pooled RR for incident hypertension (pooled RR = 2.07, 95%CI = 1.47-2.90), respectively. Furthermore, normal sleepers with objective short sleep duration were not associated with either prevalent (pooled OR = 1.21, 95%CI = 0.84-1.75) or incident (pooled RR = 0.97, 95%CI = 0.81-1.17) hypertension compared to NNSD. Our findings suggest that ISSD is a more severe phenotype of the disorder associated with a higher risk of hypertension. Objective short sleep duration might be a valid and clinically useful index of insomnia's impact on cardiovascular health.

Short Sleep and Insomnia Are Associated With Accelerated Epigenetic Age

OBJECTIVE

Short sleep and insomnia are each associated with a greater risk of age-related disease, which suggests that insufficient sleep may accelerate biological aging. We examine whether short sleep and insomnia alone or together relates to epigenetic age among older adults.

METHODS

A total of 3795 men (46.3%) and women aged 56 to 100 years from the Health and Retirement Study were included. Insomnia was defined as reporting at least one insomnia symptom (difficulty falling asleep, waking up at night, or waking up too early in the morning) and feeling unrested when waking up most of the time. Those reporting <6 hours of bedtime were categorized as short sleepers. Three second- or third-generation epigenetic age acceleration clocks were derived from the 2016 Health and Retirement Study Venous Blood Study. The linear regression analysis was adjusted for age, sex, race/ethnicity, education, and obesity status.

RESULTS

Insomnia and short sleep were associated with acceleration of GrimAge of 0.49 (95% confidence interval [CI] = 0.03-0.94 years; p = .04) and 1.29 (95% CI = 0.52-2.07 years; p = .002) years, respectively, as well as a faster pace of aging (DunedinPACE; 0.018 [95% CI = 0.004-0.033; p = .02] and 0.022 [95% CI = -0.004 to 0.048; p = .11]). Compared with healthy sleepers, individuals with the combination of short sleep and insomnia had an accelerated GrimAge (0.97 years; 95% CI = 0.07-1.87 years, p = .04) and a greater DunedinPACE (0.032; 95% CI = 0.003-0.060, p = .04).

CONCLUSIONS

Our findings indicate that short sleep, insomnia, and the combination of the two are linked to epigenetic age acceleration, suggesting that these individuals have an older biological age that may contribute to risk of comorbidity and mortality.

The Prevalence of Sleep Disorders in People with Type 2 Diabetes and Obesity in Saudi Arabia: A Cross-Sectional Study

Purpose

Difficulty falling or staying asleep are considered sleep disorders, and these are common among people with type 2 diabetes mellitus (T2DM) and obesity. The presence of sleep disorders may cause poor glycemic control among this population. We therefore designed this study to assess sleep disorders among patients with T2DM and obesity.

Patients and Methods

This cross-sectional study examined the prevalence of sleep disorders in 148 patients with T2DM and obesity at a hospital in Taif, Saudi Arabia using a validated questionnaire.

Results

Among those patients who have been involved in this study, we found a moderate level of sleep disorders and disturbances. The average sleep disorder assessment score for the patients with T2DM and obesity was 2.8 ± 1.4. Additionally, the average score for the sleep pattern assessment was 2.7 ± 1.3 and 2.9 ± 1.5 for symptoms of lack of sleep. Our study also revealed that those patients also had suboptimal weight and glycemic control.

Conclusion

These findings demonstrate that patients with T2DM and obesity are at a higher risk of developing sleep disorders. Therefore, these patients need to be screened for sleep disorders to avoid further diabetes-related complications and to have an early lifestyle intervention.

The synergism of Lactobacillaceae, inulin, polyglucose, and aerobic exercise ameliorates hyperglycemia by modulating the gut microbiota community and the metabolic profiles in db/db mice

This study aimed to assess the impact of Lactobacillaceae (L or H represents a low or high dose), inulin (I), and polydextrose (P) combined with aerobic exercise (A) on the composition of the gut microbiota and metabolic profiles in db/db mice. After a 12-week intervention, LIP, LIPA, and HIPA groups exhibited significant improvements in hyperglycemia, glucose tolerance, insulin resistance, inflammatory response, and short-chain fatty acid (SCFA) and blood lipid levels compared to type 2 diabetes mice (MC). After treatment, the gut microbiota composition shifted favorably in the treatment groups which significantly increased the abundance of beneficial bacteria, such as Bacteroides, Blautia, Akkermansia, and Faecalibaculum, and significantly decreased the abundance of Proteus. Metabolomics analysis showed that compared to the MC group, the contents of 5-hydroxyindoleacetic acid, 3-hydroxysebacic acid, adenosine monophosphate (AMP), xanthine and hypoxanthine were significantly decreased, while 3-ketosphinganine, sphinganine, and sphingosine were significantly increased in the LIP and LIPA groups, respectively. Additionally, LIP and LIPA not only improved sphingolipid metabolism and purine metabolism pathways but also activated AMP-activated protein kinase to promote β-oxidation by increasing the levels of SCFAs. Faecalibaculum, Blautia, Bacteroides, and Akkermansia exhibited positive correlations with sphingosine, 3-ketosphinganine, and sphinganine, and exhibited negative correlations with hypoxanthine, xanthine and AMP. Faecalibaculum, Blautia, Bacteroides, and Akkermansia may have the potential to improve sphingolipid metabolism and purine metabolism pathways. These findings suggest that the synergism of Lactobacillaceae, inulin, polydextrose, and aerobic exercise provides a promising strategy for the prevention and management of type 2 diabetes.

High-Frequency Heart Rate Variability Is Prospectively Associated With Sleep Complaints in a Healthy Working Cohort

OBJECTIVE

Vagus nerve functioning, as indexed by high-frequency heart rate variability (HF-HRV), has been implicated in a wide range of mental and physical health conditions, including sleep complaints. This study aimed to test associations between HF-HRV measured during sleep (sleep HF-HRV) and subjective sleep complaints 4 years later.

METHODS

One hundred forty-three healthy employees (91% male; MAge = 47.8 years [time 2], SD = 8.3 years) of an industrial company in Southern Germany completed the Jenkins Sleep Problems Scale, participated in a voluntary health assessment, and were given a 24-hour ambulatory heart rate recording device in 2007. Employees returned for a health assessment and completed the Jenkins Sleep Problems Scale 4 years later.

RESULTS

Hierarchical regression analyses showed that lower sleep HF-HRV measured in 2007 was associated with higher self-reported sleep complaints 4 years later after controlling for covariates (rab,c = -0.096, b = -0.108, 95% CI, -0.298 to 0.081, ΔR2 = 0.009, p = .050).

CONCLUSIONS

These data are the first to show that lower sleep HF-HRV predicted worse sleep 4 years later, highlighting the importance of vagus nerve functioning in adaptability and health.

Mild-to-moderate obstructive sleep apnea and mortality risk in a general population sample: The modifying effect of age and cardiovascular/cerebrovascular comorbidity

About 5.4%-45.7% of the general population has mild-to-moderate obstructive sleep apnea (mmOSA), which is highly comorbid with cardiovascular and/or cerebrovascular diseases (CBVD). We examined the association between mmOSA and all-cause mortality and the modifying effect of age and CBVD. A total of 1681 adults 20-88 years old from the Penn State Adult Cohort (PSAC) (41.9% male) were followed up for 20.1 ± 6.2 years for all-cause mortality. Mild and moderate OSA were defined as an apnea/hypopnea index (AHI) 5-14.9 and 15-29.9 events/hour, respectively. CBVD was defined as a report of a physician diagnosis or treatment for heart disease and/or stroke. Cox proportional hazards regression models were used to estimate all-cause mortality adjusted for confounders. All-cause mortality risk was significantly increased in the mmOSA group in young and middle-aged adults (<60 years) (HR = 1.59, 95%CI 1.08-2.04) but not in older adults (≥60 years) (HR = 1.05, 95%CI 0.80-1.39). A synergistic effect between mmOSA and CBVD was stronger in those <60 years (HR = 3.82, 95%CI 2.25-6.48 in <60 years vs 1.86 95%CI 1.14-3.04 in ≥60 years). There was an additive effect between moderate OSA and hypertension in <60 but not in those ≥60 years. Mild OSA was associated with all-cause mortality only in the presence of CBVD. Mortality risk is increased in young and middle-aged adults with moderate OSA, whereas the mortality risk associated with mild OSA is elevated only, regardless of age, in the presence of comorbid CBVD. AHI cut-offs warranting treatment of mmOSA may need to be adjusted based on age and comorbidities.

Ten-Year Stability of an Insomnia Sleeper Phenotype and Its Association With Chronic Conditions

OBJECTIVE

To identify distinct sleep health phenotypes in adults, examine transitions in sleep health phenotypes over time, and subsequently relate these to the risk of chronic conditions.

METHODS

A national sample of adults from the Midlife in the United States study ( N = 3683) provided longitudinal data with two time points (T1: 2004-2006, T2: 2013-2017). Participants self-reported on sleep health (regularity, satisfaction, alertness, efficiency, duration) and the number and type of chronic conditions. Covariates included age, sex, race, education, education, partnered status, number of children, work status, smoking, alcohol, and physical activity.

RESULTS

Latent transition analysis identified four sleep health phenotypes across both time points: good sleepers, insomnia sleepers, weekend catch-up sleepers, and nappers. Between T1 and T2, the majority (77%) maintained their phenotype, with the nappers and insomnia sleepers being the most stable. In fully adjusted models with good sleepers at both time points as the reference, being an insomnia sleeper at either time point was related to having an increased number of total chronic conditions by 28%-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both time points were at 72%-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any time point related to increased risks for diabetes, cancer, and frailty. Being a weekend catch-up sleeper was not associated with chronic conditions. Those with lower education and unemployed were more likely to be insomnia sleepers; older adults and retirees were more likely to be nappers.

CONCLUSION

Findings indicate a heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.

Interaction between sleep duration and trouble sleeping on depressive symptoms among U.S. adults, NHANES 2015-2018

BACKGROUND

This study aims to examine the associations and interaction effects of sleep duration and trouble sleeping on depressive symptoms among U.S. adults.

METHODS

National Health and Nutrition Examination Survey (NHANES) data from 2015 to 2018 were analyzed (N = 10,044). Trouble sleeping and sleep duration were self-reported. Sleep duration was defined as short (≤6 h) or long (≥9 h), compared with normal (>6 and < 9 h). Depressive symptoms were determined by the Patient Health Questionnaire-9 score ≥ 10. Both multiplicative interaction and additive interaction were reported.

RESULTS

There was a significant positive additive interaction between short sleep duration and trouble sleeping on depressive symptoms in the fully adjusted model (Relative excess risk due to interaction, RERIOR = 4.42, 95 % CI: 1.12, 7.73), with 43 % of the association with depressive symptoms attributed to the interaction (attributable proportion of interaction, AP = 0.43, 95 % CI: 0.22, 0.64). Similarly, a significant positive additive interaction between long sleep duration and trouble sleeping on depressive symptoms was found (RERIOR = 4.17, 95 % CI: 0.96, 7.38), with 41 % of the association with depressive symptoms attributed to the interaction (AP = 0.41, 95 % CI: 0.21, 0.60). No multiplicative interaction was detected between short or long sleep duration and trouble sleeping.

LIMITATIONS

The cross-sectional design limits the ability to draw causal inferences.

CONCLUSIONS

Findings suggest that different aspects of sleep health interact synergistically, accounting for a substantial portion of the association with depressive symptoms. This underscores the importance of simultaneously considering multiple dimensions of sleep health in relation to depressive symptoms.

Edward O. Bixler, PhD: from the Apollo project and chimpanzees to sleep epidemiology

What an honor to write about Dr. Edward O. Bixler's contributions to the sleep field. In 1967, Dr. Bixler published a case report on a chimpanzee with implanted brain electrodes while working at an Air Force base in New Mexico. A few years later, in 1971, he published on the sleep effects of flurazepam in individuals with insomnia together with Dr. Anthony Kales, data that he had collected when the Sleep Research & Treatment Center (SRTC) was housed at the University of California Los Angeles. Dr. Bixler, a meticulous scientist, learned from Dr. Kales, a devoted clinician, to study "the whole patient, and all aspects of sleep," a legacy that continued when the SRTC moved to Penn State in Hershey. Indeed, Dr. Bixler's tenure at Penn State from 1971 until 2019 kept the science of the SRTC focused on that premise and helped translate scientific evidence into clinical care. He not only contributed early to the pharmacology of sleep and the effects of hypnotics, but he was also a pioneer in "sleep epidemiology." His "Prevalence of sleep disorders in the Los Angeles metropolitan area" study of 1979 was the first rigorous epidemiological study on sleep disturbances. Starting in 1990, he established the Penn State Adult Cohort to estimate the prevalence and natural history of sleep-disordered breathing and other sleep disorders in adults. Inspired by life-course epidemiology, he established in 2001 the Penn State Child Cohort to estimate the same phenomena in children. This Living Legend paper captures and highlights Dr. Bixler's enduring legacy to sleep science.

The Psychometric Properties of the Arabic Version of the Anxiety and Preoccupation About Sleep Questionnaire (APSQ)

Background

Insomnia disorder is a common health condition; it has a role in increasing the possibility of developing other psychological disorders, including anxiety and depression. Anxiety and preoccupation with sleep are two examples of common cognitive factors that contribute to the development of chronic insomnia; thus, it is important to have a tool that assesses worry in insomnia. There is no comprehensive psychiatric measure to assess anxiety and preoccupation with sleep in Arabic. We conducted this study to translate, adapt, and validate the Arabic version of the Anxiety and Preoccupation about Sleep Questionnaire (APSQ), providing a reliable psychometric tool to assess concerns regarding sleep within Arabic-speaking communities.

Methods

The translation process of the scale involved several steps, including forward and backward translation. A cross-sectional study was conducted using an online survey completed by 523 participants from various Arabic-speaking countries. Psychometric analysis was performed utilizing the R software, including internal consistency, test-retest reliability, and confirmatory factor analysis. In addition, convergent and divergent against the Athens insomnia scale (AIS) and general anxiety disorder (GAD) were conducted.

Results

The Arabic-translated form of the APSQ expresses excellent internal consistency with a value of 0.91 for both Cronbach's α and McDonald's ω. The test-retest reliability of a subsample showed an excellent coefficient of 0.93 (p<0.01). A good fit of the APSQ was observed by CFI = 0.93, TLI = 0.91, SRMR = 0.05, and RMSEA = 0.1. Convergent and divergent against AIS and GAD showed statistically significant correlations of 0.85 (p<0.01) and 0.69 (p<0.01), respectively. Our sample showed a mean APSQ score of 31.28 ± 8.31, and the mean age was 23.62 ± 7.5.

Conclusion

The Arabic APSQ is reliable and valid for measuring anxiety and preoccupation with sleep in Arabic countries. Using translated APSQ for clinical diagnosis and research is currently trustworthy.

Validity and Reliability of the Turkish Version of the Sleep Condition Indicator: A Clinical Screening Instrument Based on the DSM-5 Criteria for Insomnia

Purpose

We aimed to adapt the Turkish Sleep Condition Indicator (SCI) version and examine its psychometric properties among the general population.

Methods

This study was a cross-sectional study. The item-total correlation, standard error of measurement, Cronbach's α, and McDonald's ω were used for internal consistency. We ran confirmatory factor analysis (CFA) and network analysis to confirm the factor structure. Multigroup CFA was run to assess the measurement invariance across gender, whether clinical insomnia or not, and poor sleep quality. We correlated SCI scores with Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) scores to evaluate construct validity. A receiver operating characteristic (ROC) curve analysis was conducted to calculate the cut-off score of the SCI. The temporal stability was examined with the intraclass correlation coefficient.

Results

Eight hundred thirty-four participants attended. Over half of the participants were women (63.2% n = 527); the mean age was 36.15 ± 9.64. Confirmatory factor and network analysis results show that the two-factor correlated model had a good model fit for the SCI. The SCI had scalar level invariance across gender, having clinical insomnia and poor sleep quality in the Multigroup CFA. ROC curve analysis shows that the SCI has good sensitivity (90.3%) and specificity (91.8%) for cut-off ≤ 15. The intraclass correlation coefficient computed between the first and second SCI total scores was significant (r=0.80 with a 95% confidence interval from 0.78 to 0.87; p < 0.001).

Conclusion

The Turkish SCI is a practical self-reported insomnia scale with good psychometric properties that can be used to screen for insomnia disorder.

Comparative efficacy of exercise modalities on sleep quality in populations with sleep disorders: A systematic review and network meta-analysis

The effect of various exercise modalities on people with sleep disorders remains unclear. This network meta-analysis aims to explore the effects of various exercise modalities in improving sleep quality in people with sleep disorders. Four electronic databases were searched from inception to April 8, 2023. We conducted pairwise meta-analyses and frequentist network meta-analyses with random effects models. A total of 17 randomized controlled trials enrolled 1090 participants were included. Compared with passive control, with moderate-to-low certainty of evidence, mind-body exercise combined with treatment as usual [standard mean difference (SMD) = -2.26, 95% confidence interval (CI) (-3.29, -1,24)], moderate aerobic exercise combined with light strength exercise [SMD = -1.26, 95% CI (-2.22, -0.31)], mind-body exercise [SMD = -0.81, 95% CI (-1.37, -0.25)] and moderate aerobic exercise [SMD = -0.75, 95% CI (-1.38, -0.13)] were more effect in improving sleep disorders. Various exercise modalities have favorable effects on sleep quality for people with sleep disorders compared with passive control. However, due to the low quality of evidence, well-designed trials should be conducted to elucidate these promising findings in the future.

Age-related differences in the association of mild-to-moderate sleep apnea with incident cardiovascular and cerebrovascular diseases

BACKGROUND

Mild-to-moderate obstructive sleep apnea (mmOSA) is highly prevalent in the general population. However, studies on its association with incident cardiovascular and/or cerebrovascular disease (CBVD) are limited. We examined the association between mild-to-moderate OSA and incident cardiovascular and/or cerebrovascular (CBVD) in a general population sample, and whether age modifies this association.

METHODS

A total of 1173 adults from the Penn State Adult Cohort (20-88 years) without CBVD or severe OSA at baseline were followed-up after 9.2 (±4.1) years. Incident CBVD was defined based on a self-report of a physician diagnosis or treatment for heart disease and/or stroke. Logistic regression examined the association of mild-to-moderate OSA (AHI 5-29.9) with incident CBVD and the combined effect of mmOSA and MetS on incident CBVD after adjusting for multiple confounders.

RESULTS

Age significantly modified the association between mmOSA with incident CBVD (p-interaction = 0.04). Mild-to-moderate OSA was significantly associated with incident CBVD in adults aged <60 years (OR = 1.74, 95%CI = 1.06-2.88, p = 0.029), but not in adults aged ≥60 years (OR = 0.71, 95%CI = 0.39-1.27, p = 0.247). Even mild OSA (AHI 5-14.9) carried a significant risk for incident CBDV in adults aged <60 years (OR = 1.86, 95%CI = 1.05-3.28, p = 0.032). An additive effect was found between mmOSA and MetS with incident CBVD in those aged <65 years (OR = 3.84, 95%CI = 1.95-7.56, p<0.001).

CONCLUSIONS

The risk of incident CBVD is increased in young and middle-aged but not older adults with mmOSA, which may affect the way we currently diagnose and treat this highly prevalent sleep-related breathing disorder.

Sleep-EEG in comorbid pain and insomnia: implications for the treatment of pain disorders

INTRODUCTION

Patients with chronic pain experience a high prevalence of comorbid insomnia, which is associated with functional impairment. Recent advances in sleep electroencephalography (sleep-EEG) may clarify the mechanisms that link sleep and chronic pain. In this clinical update, we outline current advancements in sleep-EEG assessments for pain and provide research recommendations.

RESULTS

Promising preliminary work suggests that sleep-EEG spectral bands, particularly beta, gamma, alpha, and delta power, may create candidate neurophysiological signatures of pain, and macro-architectural parameters (e.g., total sleep time, arousals, and sleep continuity) may facilitate EEG-derived sleep phenotyping and may enable future stratification in the treatment of pain.

CONCLUSION

Integration of measures obtained through sleep-EEG represent feasible and scalable approaches that could be adopted in the future. We provide research recommendations to progress the field towards a deeper understanding of their utility and potential future applications in clinical practice.

Insomnia nosology: a systematic review and critical appraisal of historical diagnostic categories and current phenotypes

Insomnia nosology has significantly evolved since the Diagnostic and Statistical Manual (DSM)-III-R first distinguished between 'primary' and 'secondary' insomnia. Prior International Classification of Sleep Disorders (ICSD) nosology 'split' diagnostic phenotypes to address insomnia's heterogeneity and the DSM nosology 'lumped' them into primary insomnia, while both systems assumed causality for insomnia secondary to health conditions. In this systematic review, we discuss the historical phenotypes in prior insomnia nosology, present findings for currently proposed insomnia phenotypes based on more robust approaches, and critically appraise the most relevant ones. Electronic databases PsychINFO, PubMED, Web of Science, and references of eligible articles, were accessed to find diagnostic manuals, literature on insomnia phenotypes, including systematic reviews or meta-analysis, and assessments of the reliability or validity of insomnia diagnoses, identifying 184 articles. The data show that previous insomnia diagnoses lacked reliability and validity, leading current DSM-5-TR and ICSD-3 nosology to 'lump' phenotypes into a single diagnosis comorbid with health conditions. However, at least two new, robust insomnia phenotyping approaches were identified. One approach is multidimensional-multimethod and provides evidence for self-reported insomnia with objective short versus normal sleep duration linked to clinically relevant outcomes, while the other is multidimensional and provides evidence for two to five clusters (phenotypes) based on self-reported trait, state, and/or life-history data. Some approaches still need replication to better support whether their findings identify true phenotypes or simply different patterns of symptomatology. Regardless, these phenotyping efforts aim at improving insomnia nosology both as a classification system and as a mechanism to guide treatment.

Content analysis of insomnia questionnaires: A step to better evaluate the complex and multifaceted construct of insomnia disorder

Insomnia disorder is a mental disorder that includes various types of symptoms (e.g., insomnia initiating, worries, mood disturbances) and impairments (e.g., distress related to sleep alterations). Self-report questionnaires are the most common method for assessing insomnia but no systematic quantified analysis of their content and overlap has been carried out. We used content analysis and a visualization method to better identify the different types of clinical manifestations that are investigated by nine commonly used insomnia questionnaires for adults and the Jaccard index to quantify the degree to which they overlap. Content analysis found and visualized 16 different clinical manifestations classified into five dimensions ("Insomnia symptoms", "Insomnia-related symptoms", "Daytime symptoms", "Insomnia-related impairments", "Sleep behaviors"). The average Jaccard Index was 0.409 (moderate overlap in content). There is a lack of distinction between symptoms and impairments, and the assessment of sleep duration and hyperarousal symptoms remains overlooked. This preliminary analysis makes it possible to visualize the content of each of the nine questionnaires and to select the most appropriate questionnaire based on the issue to be addressed. Suggestions are made regarding the development of future questionnaires to better distinguish symptoms and impairments, and the different phenotypes of insomnia disorder.

Unraveling the associations and causalities between glucose metabolism and multiple sleep traits

Purpose

The aim of our study is to estimate the associations and causalities of glucose metabolism traits of fasting blood glucose (FBG), fasting insulin (FINS), glycosylated hemoglobin (HbA1c), and 2-h glucose post-challenge (2hGlu) with sleep traits consisting of excessive daytime sleepiness (EDS), insomnia, and sleep duration.

Methods

We employed standard quantitative analysis procedures to assess the associations between sleep traits and glucose metabolism. Moreover, we acquired published genome-wide association studies (GWAS) summary statistics for these traits and conducted Mendelian randomization (MR) analyses to estimate their causal directions and effects. Inverse variance weighting (IVW) was employed as the primary approach, followed by sensitivity analyses.

Results

A total of 116 studies with over 840,000 participants were included in the quantitative analysis. Our results revealed that participants with abnormal glucose metabolism had higher risks for EDS (OR [95% CI] = 1.37 [1.10,1.69]), insomnia (OR [95% CI] = 1.65 [1.24,2.20]), and both short and long sleep duration (OR [95% CI] = 1.35 [1.12,1.63]; OR [95% CI] = 1.38 [1.13,1.67] respectively). In addition, individuals with these sleep traits exhibited alterations in several glycemic traits compared with non-affected controls. In MR analysis, the primary analysis demonstrated causal effects of 2hGlu on risks of EDS (OR [95% CI] = 1.022 [1.002,1.042]) and insomnia (OR [95% CI] = 1.020[1.001,1.039]). Furthermore, FINS was associated with short sleep duration (OR [95% CI] = 1.043 [1.018,1.068]), which reversely presented a causal influence on HbA1c (β [95% CI] = 0.131 [0.022,0.239]). These results were confirmed by sensitivity analysis.

Conclusion

Our results suggested mutual risk and causal associations between the sleep traits and glycemic traits, shedding new light on clinical strategies for preventing sleep disorders and regulating glucose metabolism. Future studies targeting these associations may hold a promising prospect for public health.

New insights and potential clinical implications of the odds ratio product

The odds ratio product (ORP) is a continuous metric of sleep depth that ranges from 0 (very deep sleep) to 2. 5 (full wakefulness). Its advantage over the conventional method recommended by AASM is that it discloses different levels of stage wake (sleep propensity) and different sleep depths within the same sleep stage. As such, it can be used to identify differences in sleep depth between subjects, and in the same subjects under different circumstances, when differences are not discernible by conventional staging. It also identifies different sleep depths within stage rapid-eye-movement sleep, with possible implications to disorders during this stage. Epoch-by-epoch ORP can be displayed graphically across the night or as average values in conventional sleep stages. In addition, ORP can be reported as % of recording time in specific ORP ranges (e.g., deciles of the total ORP range) where it produces distinct distribution patterns (ORP-architecture) that have been associated with different clinical disorders and outcomes. These patterns offer unique research opportunities to identify different mechanisms and potential therapy for various sleep complaints and disorders. In this review I will discuss how ORP is measured, its validation, differences from delta power, and the various phenotypes, and their postulated mechanisms, identified by ORP architecture and the opportunities for research to advance management of sleep-disordered breathing, insomnia and idiopathic hypersomnia.

Incidence of adverse cardiovascular events in patients with insomnia: A systematic review and meta-analysis of real-world data

Insomnia is a prevalent sleeping disorder associated with increasing cardiovascular (CV) mortality and morbidity. However, data incorporating recent clinical studies evaluating these outcomes is scarce. Hence, we aimed to investigate the association of insomnia with CV mortality, myocardial infarction (MI), all-cause mortality, and incidence of CV disease by conducting the first-ever meta-analysis of real-world data evaluating these CV outcomes. MEDLINE and Scopus databases were queried till August 2022 to identify studies comparing prespecified outcomes in patients with and without insomnia. The primary outcomes were CV mortality and myocardial infarction, while secondary outcomes included all-cause mortality, and CV-disease incidence. All data were pooled using an inverse-variance weighted random-effects model, and results were reported as relative risks (RRs) and p-values. 21 studies were analyzed. Risks for CV mortality and MI were significantly higher in patients with insomnia (RR 1.53, p<0.01, and RR 1.48, p = 0.03, respectively). The risk for all-cause mortality and CV disease incidence was also significantly higher in insomnia patients (RR 1.14, p = 0.03, and RR 1.31, p<0.01, respectively). Individuals with insomnia experience a higher risk of long-term mortality, MI, and incidence of CV disease.

Mapping the insomnia patient journey in Europe and Canada

Introduction

Insomnia affects daily functioning and overall health, and is thus associated with significant individual, societal, and economic burden. The experience of patients living with insomnia, their perception of the condition, and its impact on their quality of life is not well documented. The objective of this study was to map the patient journey in insomnia and identify unmet needs.

Methods

Participants were individuals with insomnia, and healthcare professionals (HCPs) who treat insomnia, in the United Kingdom, France, Germany, Italy, and Canada. Qualitative interviews (50 patients, 70 HCPs) and a quantitative survey (700 patients, 723 HCPs) were conducted to inform the patient-journey mapping and obtain information on the emotions, perceptions, and experiences of patients and HCPs.

Results

The patient journey comprises seven phases. The first defines the onset of insomnia symptoms. Phase 2 represents self-initiated behavior change to improve sleep (e.g., sleep hygiene, reducing caffeine, exercise). The next phase is characterized by use of over-the-counter (OTC) treatments, which generally fail to provide lasting relief. Phase 4 describes the first HCP consultation (occurring several months to several years after onset) and typically occurs at a crisis point for the patient; patients may be looking for an immediate solution (e.g., medication), which may not align with their HCP's recommendation. The following stage comprises sleep hygiene/behavioral changes (±OTC treatment) under HCP guidance for many patients, although offering prescription treatments without a sleep hygiene stage under supervision is more common in some countries. Phase 6 describes prescription medication initiation, where patients fluctuate between relief/hopefulness and a sense of failure, while HCPs try to balance the need to provide relief for the patient while maintaining best medical practice and minimizing adverse effects. The final phase (living with long-term insomnia) represents an indefinite period during which sleep issues remain unresolved for many patients, with most of them continuing to use prescription treatments for longer than indicated and creating their own variable, self-managed regimens combining multiple modalities.

Conclusion

This patient journey analysis for insomnia revealed seven distinct phases, highlighting different touchpoints where insomnia management could be optimized.

Clinical Spectrum and Trajectory of Innovative Therapeutic Interventions for Insomnia: A Perspective

Increasing incidences of insomnia in adults, as well as the aging population, have been reported for their negative impact on the quality of life. Insomnia episodes may be associated with neurocognitive, musculoskeletal, cardiovascular, gastrointestinal, renal, hepatic, and metabolic disorders. Epidemiological evidence also revealed the association of insomnia with oncologic and asthmatic complications, which has been indicated as bidirectional. Two therapeutic approaches including cognitive behavioral therapy (CBT) and drugs-based therapies are being practiced for a long time. However, the adverse events associated with drugs limit their wide and long-term application. Further, Traditional Chinese medicine, acupressure, and pulsed magnetic field therapy may also provide therapeutic relief. Notably, the recently introduced cryotherapy has been demonstrated as a potential candidate for insomnia which could reduce pain, by suppressing oxidative stress and inflammation. It seems that the synergistic therapeutic approach of cryotherapy and the above-mentioned approaches might offer promising prospects to further improve efficacy and safety. Considering these facts, this perspective presents a comprehensive summary of recent advances in pathological aetiologies of insomnia including COVID-19, and its therapeutic management with a greater emphasis on cryotherapy.

Adherence to behavioral recommendations of cognitive behavioral therapy for insomnia predicts medication use after a structured medication taper

STUDY OBJECTIVES

Cognitive behavioral therapy for insomnia (CBTI) has been paired with supervised medication tapering to help hypnotic-dependent individuals discontinue their hypnotics. This study examined the hypothesis that higher participant adherence to behavioral recommendations of CBTI will predict lower odds of using sleep medications 3 months after completion of a combined CBTI/sleep medication tapering protocol.

METHODS

Fifty-eight individuals who used sedative hypnotics completed four CBTI sessions followed by sleep medication tapering. Logistic regression was used to examine the association of stability of time in bed and stability of rise time (measured as the within-person standard deviation) at completion of CBTI with two outcomes at 3-month follow-up: use of sedative hypnotics and use of any medication/substance for sleep.

RESULTS

Participants with more stability in their rise time after CBTI than at baseline (ie, a decrease in their within-person standard deviation) had 69.5% lower odds of using sedative hypnotics at follow-up (odds ratio = 0.305, 95% confidence interval = 0.095-0.979, P = .046) than individuals who had no change or a decrease in the stability of their rise time. Results were similar for time in bed: participants with more stability in their time in bed after CBTI than at baseline had 83.2% lower odds of using sedative hypnotics (odds ratio = 0.168, 95% confidence interval = 0.049-0.580, P = .005). Increase in stability of rise time and stability of time in bed was also associated with reduced odds of using any medication/substance for sleep at follow-up.

CONCLUSIONS

Participants who implement behavioral recommendations of CBTI appear to have more success with discontinuing use of sleep medications.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: The Role of Tapering Pace and Selected Traits on Hypnotic Discontinuation; URL: https://clinicaltrials.gov/ct2/show/NCT02831894; Identifier: NCT02831894.

CITATION

Edinger JD, Wamboldt FS, Johnson RL, et al. Adherence to behavioral recommendations of cognitive behavioral therapy for insomnia predicts medication use after a structured medication taper. J Clin Sleep Med. 2023;19(8):1495-1503.

Insomnia with objective, but not subjective, short sleep duration is associated with increased risk of incident hypertension: the Sleep Heart Health Study

STUDY OBJECTIVES

Insomnia with objective short sleep duration has been associated with higher risk of cardiometabolic morbidity. In this study, we examined the association between insomnia with objective short sleep duration, also based on subjective sleep duration, with incident hypertension in the Sleep Heart Health Study.

METHODS

We analyzed data from 1,413 participants free of hypertension or sleep apnea at baseline from the Sleep Heart Health Study, with a median follow-up duration of 5.1 years. Insomnia symptoms were defined based on difficulty falling asleep, difficulty returning to sleep, early morning awakening, or sleeping pill use more than half the days in a month. Objective short sleep duration was defined as polysomnography-measured total sleep time < 6 hours. Incident hypertension was defined based on blood pressure measures and/or use of antihypertensive medications at follow-up.

RESULTS

Individuals with insomnia who slept objectively < 6 hours had significantly higher odds of incident hypertension compared to normal sleepers who slept ≥ 6 hours (odds ratio = 2.00, 95% confidence interval = 1.09-3.65) or < 6 hours (odds ratio = 2.00, 95% confidence interval = 1.06-3.79) or individuals with insomnia who slept ≥ 6 hours (odds ratio = 2.79, 95% confidence interval = 1.24-6.30). Individuals with insomnia who slept ≥ 6 hours or normal sleepers who slept < 6 hours were not associated with increased risk of incident hypertension compared to normal sleepers who slept ≥ 6 hours. Finally, individuals with insomnia who self-reported sleeping < 6 hours were not associated with significantly increased odds of incident hypertension.

CONCLUSIONS

These data further support that the insomnia with objective short sleep duration phenotype based on objective, but not subjective measures, is associated with increased risk of developing hypertension in adults.

CITATION

Dai Y, Chen B, Chen L, et al. Insomnia with objective, but not subjective, short sleep duration is associated with increased risk of incident hypertension: the Sleep Heart Health Study. J Clin Sleep Med. 2023;19(8):1421-1428.

Association of the use of psychotropic drugs with hospitalization, cardiovascular events, and mortality in patients with type 2 diabetes: a propensity score-matched cohort study

Background

Use of psychotropic drugs (PD) may be associated with impairment of physical function. However, few studies have assessed the impact of PD on health outcomes in patients with type 2 diabetes. This study aimed to examine the associations between psychotropic drug use and handgrip strength (HGS) and between the use of PD and hospitalization in patients with type 2 diabetes.

Methods

From April 2013 to December 2015, we conducted a retrospective cohort study in patients with type 2 diabetes at the National Center for Global Health and Medicine Kohnodai Hospital. Patients aged 20 years and over who can measure HGS were included. All participants received nutritional guidance regarding diet therapy for type 2 diabetes at baseline. Nonpsychotropic drug users were matched one-to-one with the PD users using propensity score matching method with respect to their baseline covariates. The differences in HGS and the number of patients who had hospitalizations during the study period were examined. By Cox proportional hazard regression analysis, the association between the use of PD and repeated hospitalizations was estimated.

Results

A total of 1,282 patients were enrolled and followed up for 2.36 ± 0.73 years. In the propensity score matching cohort, HGS was significantly lower (p = 0.006) in PD users than non-PD users. PD users had more hospitalizations than non-PD users. Cox proportional hazard regression analysis confirmed the association of repeated hospitalizations with the use of PD (hazard ratio = 2.138; 95% confidence interval, 1.144-3.995, p = 0.017)). In addition, HGS was significantly and inversely correlated with the number of hospitalizations (r = -0.143, p = 0.013).

Conclusions

The use of PD could increase the risk of repeated hospitalizations. Skeletal muscle may play a role in reducing the risk of hospitalization in patients who are treated with PD.

Genetics of diabetes

Diabetes mellitus is a complicated disease characterized by a complex interplay of genetic, epigenetic, and environmental variables. It is one of the world's fastest-growing diseases, with 783 million adults expected to be affected by 2045. Devastating macrovascular consequences (cerebrovascular disease, cardiovascular disease, and peripheral vascular disease) and microvascular complications (like retinopathy, nephropathy, and neuropathy) increase mortality, blindness, kidney failure, and overall quality of life in individuals with diabetes. Clinical risk factors and glycemic management alone cannot predict the development of vascular problems; multiple genetic investigations have revealed a clear hereditary component to both diabetes and its related complications. In the twenty-first century, technological advancements (genome-wide association studies, next-generation sequencing, and exome-sequencing) have led to the identification of genetic variants associated with diabetes, however, these variants can only explain a small proportion of the total heritability of the condition. In this review, we address some of the likely explanations for this "missing heritability", for diabetes such as the significance of uncommon variants, gene-environment interactions, and epigenetics. Current discoveries clinical value, management of diabetes, and future research directions are also discussed.

Objective sleep duration and response to combined pharmacotherapy and cognitive behavioral insomnia therapy among patients with comorbid depression and insomnia: a report from the TRIAD study

STUDY OBJECTIVES

Several studies have shown that patients with short sleep duration show a poor response to cognitive behavioral therapy for insomnia (CBT-I), but such studies have not included patients with comorbid conditions. The current study was conducted to determine whether pretreatment sleep duration moderates the response of patients with major depression and insomnia disorders to a combined CBT-I and antidepressant medication treatment.

METHODS

This study comprised a secondary analysis of a larger randomized trial that tested combined CBT-I/antidepressant medication treatment of patients with major depression and insomnia. Participants (n = 99; 70 women; Mage = 47.712.4 years) completed pretreatment polysomnography and then were randomly assigned to a 12-week treatment with antidepressant medication combined with CBT-I or a sham therapy. Short and longer sleepers were defined using total sleep time cutoffs of < 5, < 6, and < 7 hours for short sleep. Insomnia and depression remission ascertained respectively from the Insomnia Severity Index and Hamilton Rating Scale for Depression were used to compare treatment responses of short and longer sleepers defined by the cutoffs mentioned.

RESULTS

Logistic regression analyses showed that statistically significant results were obtained only when the cutoff of < 5 hours of sleep was used to define "short sleep." Both the CBT-I recipients with < 5 hours of sleep (odds ratio = 0.053; 95% confidence interval = 0.006-0.499) and the sham-therapy group with ≥ 5 hours of sleep (odds ratio = 0.149; 95% confidence interval = 0.045-0.493) were significantly less likely to achieve insomnia remission than were CBT-I recipients with ≥ 5 hours of sleep. The shorter sleeping CBT-I group (odds ratio = 0.118; 95% confidence interval = 0.020-0.714) and longer sleeping sham-therapy group (odds ratio = 0.321; 95% confidence interval = 0.105-0.983) were also less likely to achieve insomnia and/or depression remission than was the longer sleeping CBT-I group with ≥ 5 hours of sleep.

CONCLUSIONS

Sleeping < 5 hours may dispose comorbid major depression/insomnia patients to a poor response to combined CBT-I/medication treatments for their insomnia and depression. Future studies to replicate these findings and explore mechanisms of treatment response seem warranted.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Treatment of Insomnia and Depression (TRIAD); URL: https://clinicaltrials.gov/ct2/show/results/NCT00767624; Identifier: NCT00767624.

CITATION

Edinger JD, Smith ED, Buysse DJ, et al. Objective sleep duration and response to combined pharmacotherapy and cognitive behavioral insomnia therapy among patients with comorbid depression and insomnia: a report from the TRIAD study. J Clin Sleep Med. 2023;19(6):1111-1120.

Race and Socioeconomic Status: Interlinked Drivers of Sleep Health Disparities

The effect of race and socioeconomic status on sleep disorders has significant effects on the availability of healthcare and health outcomes. This paper examines how race and SES contribute to sleep health disparities, emphasizing the importance of understanding their impact on sleep disorders and treatment particularly in minority populations and veterans.