Is Metabolic Rate Increased in Insomnia Disorder? A Systematic Review.
Ontology highlight
ABSTRACT:
SUBMITTER: Chapman JL
PROVIDER: S-EPMC6054926 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:IntroductionThe ultimate goal in major depressive disorder (MDD) treatment is recovery. A proportion of MDD patients with formal remission experience persistent difficulties, which impair their daily functioning. Residual insomnia is one of the most common residual symptoms. Patients with residual insomnia experience relapse significantly earlier and have a poor prognosis. Little is known about possible ways of treatment and what subtype of insomnia is mostly reported.MethodsA systematic literature review was carried out in PubMed and Web of Science to synthesize the current status of knowledge about effective treatment methods and insomnia subtypes in residual insomnia in MDD.ResultsA few non-pharmacological treatment methods e.g., Cognitive Behavioral Therapy for Insomnia (CBT-I), Mindfulness-Based Cognitive Therapy (MBCT), behavioral activation (BA) and pharmacological methods (gabapentin, clonazepam) have proven to mitigate residual insomnia. Cognitive Behavioral Therapy for Depression (CBT-D) ameliorates insomnia complaints to a limited extent. Mid-nocturnal insomnia is the most common residual insomnia subtype in MDD patients.ConclusionResidual insomnia is a very common complaint and most often appears as mid-nocturnal insomnia. Scarce data points out the benefits from pharmacotherapy, psychotherapy, and BA. More research is needed.
| S-EPMC10312086 | biostudies-literature
Project description:BackgroundInsomnia disorder is a widespread sleep disorder with a prevalence of approximately 10%. Even though the link between insomnia and cardiovascular activity is not exactly clear, it is generally assumed that cardiovascular autonomic modifications could occur as a result of sleeplessness, or, alternatively, that autonomic alterations could be an expression of a hyper-arousal state. This review investigates whether cardiovascular measures are different between insomniacs and controls.MethodsElectronic databases were systematically searched, and 34 studies were identified. Heart rate variability features, the association of cardiac and EEG activity, physiologic complexity measures, and cardiovascular activity, assessed by measures such as pre-ejection time, blood pressure, and heart rate dynamics were studied. Given the heterogeneity of the studies, a narrative synthesis of the findings was performed.ResultsThis review study found overall differences in cardiovascular activity between insomniacs and controls in most of the observational studies (21/26), while the expression of cardiovascular regulation varied between the examined insomniac groups. All the studies that investigated the association of cardiac activity and EEG power reported an altered relation between autonomic activity and EEG parameters in insomniacs.ConclusionAutonomic regulation tends to be consistent between insomniacs, as long as they are grouped according to their respective phenotype, as shown in the insomnia subgroup with objectively short sleep duration. Our hypothesis is that these differences in the expression of cardiovascular activity could be explained by the heterogeneity of the disorder. Therefore, the determination of insomnia phenotypes, and the study of cardiovascular measures, rather than heart rate variability alone, will give more insight into the link between insomnia and cardiovascular regulation. This study suggests that cardiovascular activity differs between insomniacs and controls. These new findings are of interest to clinicians and researchers for a more accurate insomnia assessment, and the development of personalized technological solutions in insomnia.
| S-EPMC5653329 | biostudies-literature
Project description:Study objectivesAlterations in emotional reactivity may play a key role in the pathophysiology of insomnia disorder (ID). However, only few supporting experimental data are currently available. We evaluated in a hypothesis-driven design whether patients with ID present altered amygdale responses to emotional stimuli related and unrelated to the experience of insomnia and, because of chronic hyperarousal, less habituation of amygdala responses.DesignCase-control study.SettingDepartments of Psychiatry and Psychotherapy and of Radiology of the University of Freiburg Medical Center.ParticipantsThere were 22 patients with ID (15 females; 7 males; age 40.7 ± 12.6 y) and 38 healthy good sleepers (HGS, 21 females; 17 males; age 39.6 ± 8.9 y).InterventionsN/A.Measurements and resultsIn a functional magnetic resonance imaging session, five different blocks of pictures with varying emotional arousal, valence, and content (insomnia-relatedness) were presented. Pictures were presented twice to test for habituation processes. Results showed that patients with ID, compared to HGS, presented heightened amygdala responses to insomnia-related stimuli. Moreover, habituation of amygdale responses was observed only in HGS, but not in patients with ID who showed a mixed pattern of amygdala responses to the second presentation of the stimuli.ConclusionsThe results provide evidence for an insomnia-related emotional bias in patients with ID. Cognitive behavior treatment for ID could benefit from strategies dealing with the emotional charge associated with the disorder. Further studies should clarify the role of ID with respect to habituation of amygdala responses.
| S-EPMC4548513 | biostudies-literature
Project description:Background: Executive functions (EFs) are involved in the control of basic psychological processes such as attention and memory and also contribute to emotion regulation. Research on the presence of EFs impairments in insomnia yielded inconsistent results. Therefore, we performed a systematic review of the literature on three EFs: inhibitory control, working memory, and cognitive flexibility in adults with insomnia in order to investigate the presence and magnitude of insomnia-related EFs impairments. Methods: PubMed, Scopus, Medline, and PsycINFO were searched. Risk of bias assessment of included studies was performed by two independent researchers. Findings were summarised using both a narrative approach and meta-analysis. Cohen's d was calculated at 95% confidence interval (CI) as effect size of between groups differences. Results: Twenty-eight studies comparing adult individuals with a diagnosis of insomnia and healthy controls on neuropsychological measures of EFs were included. Narrative synthesis revealed substantial variability across study findings. Factors that were primarily hypothesised to account for this variability are: objective sleep impairments and test sensitivity. Exploratory meta-analysis showed impaired performance of small to moderate magnitude in individuals with insomnia as compared to controls in reaction times, but not accuracy rates, of inhibitory control (d = -0.32, 95% CI: -0.52 to -0.13) and cognitive flexibility tasks (d = -0.30, 95% CI: -0.59 to -0.01). Performance in working memory tasks was also significantly impacted (d = -0.19, 95% CI: -0.38 to -0.00). Effects sizes were larger when insomnia was associated with objective sleep impairments, rather than normal sleep. Conclusions: We gathered evidence supporting small to moderate deficits in EFs in individuals with insomnia. Due to the small sample size results should be considered preliminary and interpreted carefully.
| S-EPMC6363670 | biostudies-literature
Project description:To determine the efficacy of behavioral and pharmacological interventions for insomnia among individuals with alcohol use disorder (AUD).Comprehensive literature searches of psychological, medical, and educational databases were conducted through October 2016. Eligible studies evaluated the efficacy of an insomnia intervention, included a comparison condition, sampled individuals with AUD and either insomnia disorder or complaints of insomnia, assessed sleep-related outcomes, and provided relevant statistics to calculate between-group effect sizes. Effect sizes were estimated for sleep quality, days of alcohol abstinence, and symptoms of depression. Type of intervention (behavioral versus pharmacological) was tested as a moderator of intervention efficacy.Nine studies met eligibility criteria and were included in the final review and meta-analysis. Random-effects models indicated that intervention participants reported greater improvements in sleep quality (d+=0.62, 95% CI=0.28, 0.97) and symptoms of depression (d+=0.52, 95% CI=0.06, 0.98) than control participants. Participants reported significantly greater improvements in sleep quality in response to behavioral (d+=1.20, 95% CI=0.70, 1.70) as opposed to pharmacological (d+=0.43, 95% CI=0.19, 0.67) interventions. Behavioral (d+=0.74, 95% CI=0.31, 1.18) and pharmacological (d+=0.08, 95% CI=-0.64, 0.78) interventions did not have significantly different effects on depressive symptoms. Neither behavioral nor pharmacological interventions improved rates of alcohol abstinence.Insomnia interventions improve sleep quality and reduce symptoms of depression among individuals with comorbid AUD. Given the methodological weaknesses of studies reviewed, additional research is needed to determine the efficacy of insomnia treatment in improving rates of alcohol relapse within this population.
| S-EPMC5683932 | biostudies-literature
Project description:Trazodone has been widely prescribed for off-label use as a sleep aid. Identifying how trazodone impacts the performance of polysomnographic sleep architecture in insomnia disorder will provide additional data that can be used to guide clinical application. To assess the efficacy of trazodone in altering the polysomnographic sleep architecture in insomnia disorder so that sleep can be facilitated. PubMed, EMBASE, Web of Science, PsycINFO, Cochrane Library, Chinese Biomedical Literature Database (SinoMed), China National Knowledge Infrastructure, Wanfang Database, and the China Science and Technology Journal Database were searched for articles published between inception and June 2022. RCTs in patients with insomnia disorder applying trazodone in one arm of interventions at least 1 week, and reporting PSG parameters in the outcomes were eligible. RoB 2 was used to evaluate the risk of bias. The results of quality of evidence assessed by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. When I2 < 50%, the fixed effects model was used. When I2 ≥ 50%, the random effects model was used. The mean differences (MD) or standardized mean differences (SMD) and odds ratios (OR) with 95% confidence intervals (CIs) were estimated. Eleven randomized controlled trials were selected and participants were 466. Risk of bias was low in 5 trials (45.5%), and was moderate in 6 (54.5%). Compared with the control group, trazodone significantly increased total sleep time (TST, min) (MD = 39.88, 95% CI 14.44-65.32, P = 0.002) and non-rapid eye movement stage 3 (N3, mixed min and %) (SMD = 1.61, 95% CI 0.69-2.53, P = 0.0006); trazodone significantly decreased latency to onset of persistent sleep (LPS, min) (MD = - 19.30, 95% CI - 37.28 to - 1.32, P = 0.04), non-rapid eye movement stage 1 (N1, mixed min and %) (SMD = - 0.62, 95% CI - 1.13 to - 0.12, P = 0.02), the number of awakenings (NAs, including both arousal times and arousal index) (SMD = - 0.67, 95% CI - 0.91 to - 0.42, P < 0.00001), and waking time after persistent sleep onset (WASO, mixed min and %) (SMD = - 0.42, 95% CI - 0.81, - 0.03, P = 0.04), with no obvious effect on non-rapid eye movement stage 2 (N2, mixed min and %) (SMD = - 0.15, 95% CI - 0.41 to 0.11, P = 0.25), rapid eye movement (REM, mixed min and %) (SMD = 0.22, 95% CI - 0.26 to 0.70, P = 0.37), rapid eye movement latency (REML, min) (MD = 2.33, 95% CI - 27.56 to 32.22, P = 0.88), or apnea-hypopnea index (AHI) (MD = - 4.21, 95% CI - 14.02 to 5.59, P = 0.40). Daytime drowsiness (OR = 2.53, 95% CI 1.14-5.64, P = 0.02) and decreased appetite (OR = 2.81, 95% CI 1.14-6.92, P = 0.02) occurred with greater frequency in the trazodone group as compared to the control group, and the differences were significant. The results of quality of evidence were very low in TST, N3 and AHI, were low in LPS, WASO and REM, and were moderate in N1 and NAs. The sources of heterogeneity in TST and N3 were not found out from sensitive and subgroup analysis and there was no high quality of evidence in outcomes by GRADE Assessment. Trials with combination of other therapy could be a problem in this meta-analysis as the possibility of interactions were found from sungroup analysis. Trazodone could improve sleep by changing the sleep architecture in insomnia disorder, but it should be used with caution due to the adverse events that may occur.PROSPERO registration register name: The effect of trazodone on polysomnography sleep architecture in patients with insomnia: a systematic review and meta-analysis protocol; Registration Number CRD42020215332.
| S-EPMC9402537 | biostudies-literature
Project description:The gabapentinoids, gabapentin, and pregabalin, target the α2δ subunits of voltage-gated calcium channels. Initially licensed for pain and seizures, they have become widely prescribed drugs. Many of these uses are off-label for psychiatric indications, and there is increasing concern about their safety, so it is particularly important to have good evidence to justify this usage. We conducted a systematic review and meta-analysis of the evidence for three of their common psychiatric uses: bipolar disorder, anxiety, and insomnia. Fifty-five double-blind randomised controlled trials (RCTs) and 15 open-label studies were identified. For bipolar disorder, four double-blind RCTs investigating gabapentin, and no double-blind RCTs investigating pregabalin, were identified. A quantitative synthesis could not be performed due to heterogeneity in the study population, design and outcome measures. Across the anxiety spectrum, a consistent but not universal effect in favour of gabapentinoids compared to placebo was seen (standardised mean difference [SMD] ranging between -2.25 and -0.25). Notably, pregabalin (SMD -0.55, 95% CI -0.92 to -0.18) and gabapentin (SMD -0.92, 95% CI -1.32 to -0.52) were more effective than placebo in reducing preoperative anxiety. In insomnia, results were inconclusive. We conclude that there is moderate evidence of the efficacy of gabapentinoids in anxiety states, but minimal evidence in bipolar disorder and insomnia and they should be used for these disorders only with strong justification. This recommendation applies despite the attractive pharmacological and genetic rationale for targeting voltage-gated calcium channels.
| S-EPMC9095464 | biostudies-literature
Project description:BACKGROUND:Autism spectrum disorders (ASD) are a set of neurodevelopmental disorders characterised by behavioural, communication and social impairments. The prevalence of sleep disturbances in children with ASD is 40-80%, with significant effects on quality of life for the children and carers. This systematic review aimed to synthesise evidence of the effects of behavioural interventions to improve sleep among children with ASD. METHODS:Databases (MEDLINE, PsycINFO, CINAHL, ScienceDirect, Autism Data, CENTRAL, ClinicalTrials.gov and Current Controlled Trials) were searched for published, unpublished and ongoing randomised controlled trials evaluating the effect of non-pharmacological interventions for insomnia in children with autism spectrum conditions. RESULTS:Three studies met the inclusion criteria, one provided actigraphy data, one Children's Sleep Habits Questionnaire (CSHQ) data, and one both actigraphy and CSHQ data for use in meta-analyses. There were significant differences between the behavioural intervention and comparison groups (actigraphy data) for total sleep time (24.41 minutes, 95% CI 5.71, 43.11, P = 0.01), sleep latency (-18.31 minutes, 95% CI -30.84, -5.77, P = 0.004) and sleep efficiency (5.59%, 95% CI 0.87, 10.31, P = 0.02). There was also a favourable intervention effect evident for the subjective CSHQ data (-4.71, 95% CI -6.70, -2.73, P<0.00001). Risk of bias was low across several key domains (randomisation, allocation concealment and reporting), with some studies being unclear due to poor reporting. CONCLUSIONS:There are very few high quality randomised controlled trials in this area. Here we provide initial synthesised quantitative evidence of the effectiveness of behavioural interventions for treating sleep problems in children with ASD. TRIAL REGISTRATION:Protocol was registered (CRD42017081784) on the International Prospective Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO).
| S-EPMC6705823 | biostudies-literature
Project description:Background:Insomnia symptoms are common, affecting almost 30% of the population of the population. Many use medications that may be ineffective and cause substantial harm. In complementary and alternative medicine, acupuncture is widely used to manage mental health problems. Acupuncture therapy emphasizes individualized treatment according to TCM pattern diagnosis. Although there are some systematic reviews that acupuncture has the benefit for insomnia, there is no systematic review on acupuncture using pattern identification. This review aimed for evaluating acupuncture efficacy using pattern-identification to treat insomnia. Methods:We carried out a comprehensive review of randomized controlled trials (from 2000 to April 12, 2018), using PubMed, Cochrane CENTRAL, EMBASE, CINAHL, PsycINFO, CNKI, and 3 Korean (OASIS, NDSL, RISS4U) databases, comparing acupuncture using pattern identification (only) with medication in primary insomnia. Response rate and the Pittsburgh Sleep Quality Index (PSQI) were the primary outcomes. Risk of bias and publication biases were evaluated, and meta-analyses were conducted. Results:Nineteen RCTs were included (11 manual acupuncture (1079 patients), 8 electro-acupuncture (442 patients)) of low quality. Meta-analyses of all studies reveled that acupuncture improved total effectiveness rate (Risk Ratio [RR]?=?1.23, 95% confidence intervals [CIs]: 1.12-1.35, p?<?0.00001; I2?=?80%) and PSQI (MD?=?-1.92, 95% CI: -2.41-1.42, p?<?0.00001; I2?=?30%) compared to medication. Results of overall risk of bias assessments were unclear or high. Conclusions:Acupuncture using pattern identification led to significantly improved total effectiveness rate compared to medication. With regard to PSQI, as compared to the control group, acupuncture using pattern identification was similar to medication. However, this study has limitations of high risk of bias, not using a standardized pattern-diagnosis-treatment and not comparing with standarized acupuncture without pattern identification.
| S-EPMC6718809 | biostudies-literature
Project description:BackgroundResting metabolic rate (RMR) prediction equations are often used to calculate RMR in athletes; however, their accuracy and precision can vary greatly.ObjectiveThe aim of this systematic review and meta-analysis was to determine which RMR prediction equations are (i) most accurate (average predicted values closest to measured values) and (ii) most precise (number of individuals within 10% of measured value).Data sourcesA systematic search of PubMed, CINAHL, SPORTDiscus, Embase, and Web of Science up to November 2021 was conducted.Eligibility criteriaRandomised controlled trials, cross-sectional observational studies, case studies or any other study wherein RMR, measured by indirect calorimetry, was compared with RMR predicted via prediction equations in adult athletes were included.AnalysisA narrative synthesis and random-effects meta-analysis (where possible) was conducted. To explore heterogeneity and factors influencing accuracy, subgroup analysis was conducted based on sex, body composition measurement method, athlete characteristics (athlete status, energy availability, body weight), and RMR measurement characteristics (adherence to best practice guidelines, test preparation and prior physical activity).ResultsTwenty-nine studies (mixed sports/disciplines n = 8, endurance n = 5, recreational exercisers n = 5, rugby n = 3, other n = 8), with a total of 1430 participants (822 F, 608 M) and 100 different RMR prediction equations were included. Eleven equations satisfied criteria for meta-analysis for accuracy. Effect sizes for accuracy ranged from 0.04 to - 1.49. Predicted RMR values did not differ significantly from measured values for five equations (Cunningham (1980), Harris-Benedict (1918), Cunningham (1991), De Lorenzo, Ten-Haaf), whereas all others significantly underestimated or overestimated RMR (p < 0.05) (Mifflin-St. Jeor, Owen, FAO/WHO/UNU, Nelson, Koehler). Of the five equations, large heterogeneity was observed for all (p < 0.05, I2 range: 80-93%) except the Ten-Haaf (p = 0.48, I2 = 0%). Significant differences between subgroups were observed for some but not all equations for sex, athlete status, fasting status prior to RMR testing, and RMR measurement methodology. Nine equations satisfied criteria for meta-analysis for precision. Of the nine equations, the Ten-Haaf was found to be the most precise, predicting 80.2% of participants to be within ± 10% of measured values with all others ranging from 40.7 to 63.7%.ConclusionMany RMR prediction equations have been used in athletes, which can differ widely in accuracy and precision. While no single equation is guaranteed to be superior, the Ten-Haaf (age, weight, height) equation appears to be the most accurate and precise in most situations. Some equations are documented as consistently underperforming and should be avoided. Choosing a prediction equation based on a population of similar characteristics (physical characteristics, sex, sport, athlete status) is preferable. Caution is warranted when interpreting RMR ratio of measured to predicted values as a proxy of energy availability from a single measurement.Prospero registrationCRD42020218212.
| S-EPMC10687135 | biostudies-literature