Severe chronic insomnia is not associated with higher body mass index

Insomnia, Short Sleep, and Their Treatments: Review of Their Associations with Weight

PURPOSE OF REVIEW

Insomnia and short sleep have been linked with weight gain and obesity. However, these findings have not been consistent across studies. We review recent evidence for the association between insomnia, short sleep, and weight gain, as well as the relationship between behavioral and pharmacological treatments for sleep and weight.

RECENT FINDINGS

The relationship between insomnia and obesity is mixed, with stronger associations between insomnia with short sleep and obesity than other presentations of insomnia. Short sleep is associated with weight gain. Z-drugs and benzodiazapines do not appear to impact weight, but many antidepressants and antipsychotics that are used for insomnia treatment do cause weight gain. The relationships between insomnia and short sleep with weight gain and obesity are inconsistent. More prospective trials are needed to identify mediators and moderators of this relationship to better develop and deliver effective interventions for both sleep and weight problems.

Prevalence and Correlates of Night Eating Syndrome, Insomnia, and Psychological Distress in Primary Care Patients with Obesity: A Cross-Sectional Study

INTRODUCTION

Management of obesity is challenging for both patients and healthcare workers. Considering the low success rate of current interventions, this study aimed to explore the prevalence and associated factors of night eating syndrome (NES), insomnia, and psychological distress among individuals with obesity in order to plan comprehensive obesity management interventions.

METHODS

A cross-sectional study on a convenient sample from five primary healthcare centers in Port Said, Egypt, was conducted from November 2020 to March 2021. Sociodemographic and clinical characteristics were collected in addition to the assessment of NES, insomnia, and psychological distress using the Arabic versions of the Night Eating Diagnostic Questionnaire (NEQ), the Insomnia Severity Index (ISI), and the Patient Health Questionnaire-4 (PHQ-4) scales, respectively. Associations of NES, insomnia, and psychological distress were assessed by multiple regression analysis. We performed Bonferroni adjustments for multiple comparisons.

RESULTS

We included 425 participants with obesity with a mean age of 45.52 ± 6.96 years. In all, 54.4% were females and the mean body mass index (BMI) was 35.20 ± 4.41 kg/m2. The prevalence rates of NES, insomnia, and psychological distress were 21.6% (95% CI: 17.7-25.6%), 15.3% (95% CI: 11.9-18.7%), and 18.8% (95% CI: 15.1-22.6%), respectively. NES was significantly associated with younger age (OR 0.974, p = 0.016), physical inactivity (OR 0.485, p = 0.010), insomnia (OR 2.227, p = 0.014), and psychological distress (OR 2.503, p = 0.002). Insomnia showed strong associations with NES (OR 2.255, p = 0.015) and psychological distress (OR 5.990, p < 0.001). Associated factors of psychological distress symptoms included insomnia (OR 6.098, p < 0.001) and NES (OR 2.463, p = 0.003).

CONCLUSION

The prevalence rates of NES, insomnia, and psychological distress were high among primary care patients with obesity, and these conditions were interrelated. Optimal obesity management necessitates individualized and targeted multidisciplinary care plans that take into consideration individual patients' mental, behavioral, and dietary habits needs.

The REM microarousal and REM duration as the potential indicator in paradoxical insomnia

OBJECTIVE

Although paradoxical insomnia is a prevalent subtype of chronic insomnia, the etiology of it is unclear. Contrary to complaints of little or no sleep, polysomnography (PSG) findings show that paradoxical insomnia patients have near normal sleep macrostructure. The purpose of this study is to determine the changes of microstructure and explore the etiology of paradoxical insomnia.

METHODS

The PSG findings of 89 paradoxical insomnia patients were compared with those of 41 gender balanced healthy controls without sleep complaints. All subjects underwent nocturnal PSG recordings. Conventional PSG measures and microarousals were quantified and statistically analyzed. Receiver operating characteristic curve and correlation analysis were used to evaluate the potential of REM sleep microarousals and REM duration as indicators of paradoxical insomnia.

RESULTS

Compared with the controls, paradoxical insomnia patients had no significant differences in sleep macrostructures. Statistical analysis showed that non-rapid eye movement (NREM) microarousals revealed no significant differences between paradoxical insomnia patients and controls. Noticeably, more spontaneous microarousals appeared in rapid eye movement (REM) stage for paradoxical insomnia patients. Based on receiver operating characteristic curve (ROC), the optimal cutoff value of REM sleep microarousals could predict paradoxical insomnia. Furthermore, a positive correlation between microarousals in REM sleep and the duration of REM sleep was presented in paradoxical insomnia patients.

CONCLUSIONS

The frequency of REM microarousals and the duration of REM sleep could reflect the real sleep state of paradoxical insomnia patients. That suggested PSG investigation extended to microarousal could be helpful to understand the etiology in paradoxical insomnia.

The Role of Leptin in Rodent and Human Sleep: A Transdiagnostic Approach with a Particular Focus on Anorexia Nervosa

This narrative review addressed to both clinicians and researchers aims to assess the role of hypoleptinemia in disordered sleep with a particular focus on patients with anorexia nervosa (AN). After introducing circadian rhythms and the regulation of circulating leptin, we summarize the literature on disordered sleep in patients with AN and in fasting subjects in general. We highlight novel single-case reports of substantially improved sleep within days after initiation of off-label metreleptin treatment. These beneficial effects are set in relationship to current knowledge of disordered sleep in animal models of an impaired leptin signaling. Specifically, both absolute and relative hypoleptinemia play a major role in animal models for insomnia, obstructive sleep apnea and obesity hypoventilation syndrome. We pinpoint future research required to complement our understanding of the role of leptin in sleep in patients with acute AN. Moreover, within the section clinical applications we speculate that human recombinant leptin may be useful for the treatment of treatment-resistant sleep-wake disorders, which are associated with (relative) hypoleptinemia. Overall, we stress the role of the hormone leptin in sleep.

Changes in sleep duration and sleep difficulties from adolescence to young adulthood and the risk of obesity: Bidirectional evidence in the GINIplus and LISA studies

OBJECTIVE

This study aimed to assess the association of changes in sleep behaviors from adolescence to young adulthood with the risk of overweight/obesity, and the reverse relationship.

METHODS

Data of 1978 participants was obtained from the 15- and 20-year follow-ups of the GINIplus and LISA birth cohorts. Insufficient sleep was defined as reported sleep duration <8 h for adolescents, <7 h for adults, and sleep difficulties as reported having sleeping difficulties. Logistic regression models were used to assess bidirectional associations of changes in insufficient sleep and sleep difficulties with overweight/obesity. The polygenic risk scores (PRS) for body mass index (BMI) was tested in a sub-sample (n = 918).

RESULTS

Compared with sufficient sleep in both adolescence and young adulthood, insufficient sleep only in young adulthood was associated with an increased risk of overweight/obesity (odds ratio = 1.85, 95%confidence interval = [1.27-2.69]). Compared with no sleep difficulties at both time-points, only persistent sleep difficulties was associated with a higher risk of overweight/obesity (2.15 [1.22-3.77]). The PRS for BMI was associated with overweight/obesity (1.41 [1.17-1.70]), but no significant gene-sleep interaction effect was observed. Reversely, only persistent overweight/obesity was associated with increased risks of insufficient sleep (1.81 [1.21-2.70]), and sleep difficulties (1.77 [1.18-2.66]), respectively.

CONCLUSIONS

Insufficient sleep only presented a cross-sectional association with overweight/obesity in young adulthood, while long-term sleep difficulties from adolescence to young adulthood was associated with young adult overweight/obesity. Reversely, long-term overweight/obesity from adolescence to young adulthood was associated with insufficient sleep and sleep difficulties in young adulthood.

Differentiation Model for Insomnia Disorder and the Respiratory Arousal Threshold Phenotype in Obstructive Sleep Apnea in the Taiwanese Population Based on Oximetry and Anthropometric Features

Insomnia disorder (ID) and obstructive sleep apnea (OSA) with respiratory arousal threshold (ArTH) phenotypes often coexist in patients, presenting similar symptoms. However, the typical diagnosis examinations (in-laboratory polysomnography (lab-PSG) and other alternatives methods may therefore have limited differentiation capacities. Hence, this study established novel models to assist in the classification of ID and low- and high-ArTH OSA. Participants reporting insomnia as their chief complaint were enrolled. Their sleep parameters and body profile were accessed from the lab-PSG database. Based on the definition of low-ArTH OSA and ID, patients were divided into three groups, namely, the ID, low- and high-ArTH OSA groups. Various machine learning approaches, including logistic regression, k-nearest neighbors, naive Bayes, random forest (RF), and support vector machine, were trained using two types of features (Oximetry model, trained with oximetry parameters only; Combined model, trained with oximetry and anthropometric parameters). In the training stage, RF presented the highest cross-validation accuracy in both models compared with the other approaches. In the testing stage, the RF accuracy was 77.53% and 80.06% for the oximetry and combined models, respectively. The established models can be used to differentiate ID, low- and high-ArTH OSA in the population of Taiwan and those with similar craniofacial features.

Insomnia with physiological hyperarousal is associated with lower weight: a novel finding and its clinical implications

Previous studies on the association of insomnia with body mass index (BMI) have been controversial. Physiological hyperarousal, the key pathological mechanism of insomnia, may be an important reason for different findings. We explored whether insomnia with physiological hyperarousal measured by the multiple sleep latency test (MSLT) is associated with body-weight differences. A total of 185 normal sleepers and 440 insomniacs were included in this study. Insomnia was defined by standard diagnostic criteria with symptoms lasting ≥6 months. All subjects underwent one night of laboratory polysomnography followed by a standard MSLT. We used the median MSLT value (i.e., ≥14 min) to define physiological hyperarousal. BMI was based on measured height (cm) and weight (kg) during the subjects' sleep laboratory visit. BMI > 25 kg/m² was defined as overweight, while BMI < 18.5 kg/m² was defined as underweight. After controlling for confounders, the odds of lower weight rather than overweight were significantly increased among insomnia patients with increased MSLT: insomnia with MSLT 14-17 min and MSLT > 17 min increased the odds of lower weight by approximately 89% (OR = 1.89, 95% CI 1.00-4.85) and 273% (OR = 3.73, 95% CI 1.51-9.22) compared with normal sleepers, respectively. In contrast, insomnia in patients with MSLT 11-14 min and 8-11 min was not different from normal sleepers in terms of body weight. Insomnia associated with physiological hyperarousal, the most severe phenotype of chronic insomnia, is associated with higher odds of lower weight and underweight compared with normal sleepers. This is a novel finding consistent with previous physiologic data and has significant clinical implications.

Genetically Predicted Insomnia in Relation to 14 Cardiovascular Conditions and 17 Cardiometabolic Risk Factors: A Mendelian Randomization Study

Background

This Mendelian randomization study aims to investigate causal associations between genetically predicted insomnia and 14 cardiovascular diseases (CVDs) as well as the potential mediator role of 17 cardiometabolic risk factors.

Methods and Results

Using genetic association estimates from large genome‐wide association studies and UK Biobank, we performed a 2‐sample Mendelian randomization analysis to estimate the associations of insomnia with 14 CVD conditions in the primary analysis. Then mediation analysis was conducted to explore the potential mediator role of 17 cardiometabolic risk factors using a network Mendelian randomization design. After correcting for multiple testing, genetically predicted insomnia was consistent significantly positively associated with 9 of 14 CVDs, those odds ratios ranged from 1.13 (95% CI, 1.08–1.18) for atrial fibrillation to 1.24 (95% CI, 1.16–1.32) for heart failure. Moreover, genetically predicted insomnia was consistently associated with higher body mass index, triglycerides, and lower high‐density lipoprotein cholesterol, each of which may act as a mediator in the causal pathway from insomnia to several CVD outcomes. Additionally, we found very little evidence to support a causal link between insomnia with abdominal aortic aneurysm, thoracic aortic aneurysm, total cholesterol, low‐density lipoprotein cholesterol, glycemic traits, renal function, and heart rate increase during exercise. Finally, we found no evidence of causal associations of genetically predicted body mass index, high‐density lipoprotein cholesterol, or triglycerides on insomnia.

Conclusions

This study provides evidence that insomnia is associated with 9 of 14 CVD outcomes, some of which may be partially mediated by 1 or more of higher body mass index, triglycerides, and lower high‐density lipoprotein cholesterol.

The association of insomnia disorder characterised by objective short sleep duration with hypertension, diabetes and body mass index: A systematic review and meta-analysis

Insomnia disorder with objective short sleep duration (less than 6 h of objective sleep or sleep efficiency less than 85%) has been considered as a biologically severe subtype of insomnia associated with a higher risk of cardiometabolic disease morbidity. This systematic review and meta-analysis firstly compared insomnia disorder with objective short and normal sleep duration, and subsequently, objective short sleep duration with and without insomnia disorder, and their associations with hypertension, type 2 diabetes and body mass index. A systematic search of five databases yielded 2345 non-duplicated articles, of which 11 individual studies were used for the qualitative review and 10 individual studies for the meta-analysis. The sample size varied from 30 to 4994 participants. A higher risk of hypertension (RR 1.54, 95% CI: [1.30; 1.82] p < 0.0001) and type 2 diabetes (RR 1.63 [1.37; 1.94], p < 0.0001) was associated with insomnia disorder with objective short sleep compared to normal sleep duration, but not for body mass index. Comparisons between insomnia disorder with objective short sleep and objective short sleep without insomnia disorder showed no significant differences. However, the majority of these studies were cross-sectional, and there is a need for more cohort study data.

Sleep: important considerations for the prevention of cardiovascular disease

PURPOSE OF REVIEW

Sleep plays many roles in maintenance of cardiovascular health. This review summarizes the literature across several areas of sleep and sleep disorders in relation to cardiometabolic disease risk factors.

RECENT FINDINGS

Insufficient sleep duration is prevalent in the population and is associated with weight gain and obesity, inflammation, cardiovascular disease, diabetes, and mortality. Insomnia is also highly present and represents an important risk factor for cardiovascular disease, especially when accompanied by short sleep duration. Sleep apnea is a well-characterized risk factor for cardiometabolic disease and cardiovascular mortality. Other issues are relevant as well. For example, sleep disorders in pediatric populations may convey cardiovascular risks. Also, sleep may play an important role in cardiovascular health disparities.

SUMMARY

Sleep and sleep disorders are implicated in cardiometabolic disease risk. This review addresses these and other issues, concluding with recommendations for research and clinical practice.

Prevalence and Associated Factors of Sleep Quality among Adults in Jimma Town, Southwest Ethiopia: A Community-Based Cross-Sectional Study

Background

An estimated 150 million people worldwide and nearly 17% of the populations in the developing nations are currently suffering from sleep problems. The aim of the present study was to determine the prevalence and associated factors of sleep quality among adults in Ethiopia.

Method

A cross-sectional study was conducted on 422 randomly selected adults using validated and pretested Pittsburgh Sleep Quality Index. Data were entered into EpiData and analyzed using SPSS version 20 considering bivariable (P value < 0.25) and multivariable (P < 0.05) logistic regression procedures at 95% confidence interval.

Result

The overall prevalence of poor sleep quality (PSQI score > 5) was 65.4% with higher proportion among males (79 (63.0%)) and age group of 40-49 years (174 (28.6%)). A multivariable logistic regression analysis indicated that age category of 40-49 years (AOR = 2 [95% CI (1.1, 3.6)]) (P = 0.03), monthly income ≤ 1000 ETB (AOR = 2.2 [95% CI (14, 3.5)]) (P = 0.01), current khat chewing (AOR = 1.8 [95% CI (1.1, 3.1)]) (P = 0.03), daily khat chewing (AOR = 3.4 [95% CI (1.2, 11.1)]) (P = 0.04), and obesity (AOR = 1.2 [95% CI (1.3, 2.5)]) (P = 0.03) were identified as risk factors of poor sleep quality.

Conclusion

The current study is informative for government to work on poverty reduction, create awareness for weight reduction, and develop legislation for khat control to prevent poor sleep quality.

Sex-Specific Difference in the Association Between Poor Sleep Quality and Abdominal Obesity in Rural Chinese: A Large Population-Based Study

STUDY OBJECTIVES

Existing studies on sleep quality and associated obesity are inconsistent, and few studies have prospectively evaluated the association between sleep quality and abdominal obesity among Chinese individuals. To fill this void, the current study aimed to assess the association between sleep quality and abdominal obesity in a rural Chinese population.

METHODS

A representative sample of 9,404 adults aged 20-93 years in northeastern China was selected between 2012 and 2013 by a multistage cluster and random sampling method. Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI), where a score of 6 or higher indicated sleep disorder. Abdominal obesity was measured by waist circumference (WC), with abdominal obesity defined as WC > 90 cm for men and WC > 80 cm for women.

RESULTS

Male participants with abdominal obesity had higher global PSQI scores in addition to higher subscores in almost all of the elements compared to normal values. The odds ratios of abdominal obesity among participants with sleep disorders were 1.64 (95% confidence interval [CI]: 1.39-1.95) and 1.14 (95% CI: 0.98-1.32) for males and females compared to the reference group. The risk in all sleep elements was significantly increased, with odds ratios ranging from 1.28 (95% CI: 1.08-1.51) to 5.81 (95% CI: 3.54-9.53) for males. The risk only in four elements was significantly increased, from 1.28 (95% CI: 1.12-1.47) to 2.27 (95% CI: 1.36-3.80) for females.

CONCLUSIONS

Poor sleep quality was associated with abdominal obesity in Chinese. Furthermore, effects in males were larger than those in females.

The insomnia with short sleep duration phenotype: an update on it's importance for health and prevention

PURPOSE OF REVIEW

It was first proposed in the late 1990s that objective markers of sleep disturbance could serve as an index of the biological severity of insomnia. In 2013, a heuristic model of two insomnia phenotypes based on objective sleep duration was proposed. Herein, we review the studies conducted in the past 3 years on the insomnia with short sleep duration phenotype and its implications for a clinical research agenda.

RECENT FINDINGS

Studies have shown that insomnia with objective short sleep duration is associated with physiologic hyperarousal and cardiometabolic and neurocognitive morbidity, whereas insomnia with normal sleep duration is not. Both insomnia phenotypes are associated with psychiatric morbidity albeit through different psychobiological mechanisms. Novel recent studies have included occupational outcomes, developmental approaches, at-home objective sleep testing, diagnostic accuracy measures, and response to cognitive-behavioral treatment.

SUMMARY

Accumulating evidence in the past years has continued to support that insomnia with short sleep duration is a more severe phenotype of the disorder associated with physiologic changes, significant morbidity and mortality and, potentially, a differential response to treatment.

Insomnia and obesity

PURPOSE OF REVIEW

Accumulating data suggest that short sleep plays a role in the development of obesity in general population. Insomnia disorder is characterized by short sleep and may persist for years. The question whether these patients have a higher risk of obesity is of socioeconomic as well as therapeutic interest.

RECENT FINDINGS

Numerous recently published cross-sectional and longitudinal studies show positive as well as negative associations between short sleep and overweight. Critical reviews note several methodological limitations that weaken the assumption of short sleep duration as the potential cause for obesity. From a sleep medical perspective, a basic methodological problem is the lack of a biological cut-off for short sleep duration. Therefore, recent findings on the relation between emotional stress in short sleepers and incident of obesity opens a more promising perspective on sleep quality as a possible factor. A few studies on patients with insomnia disorder, however, do not show higher BMIs adding data to a research puzzle.

SUMMARY

The relation of sleep duration and incident obesity so far has insufficient evidence base. Few data on patients with insomnia disorder do not confirm the association. Further research is necessary with focus on sleep quality instead of sleep duration.