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Journal of Sleep Research Aug 2021Suboptimal sleep causes cognitive decline and probably accelerates Alzheimer's Disease (AD) progression. Several sleep interventions have been tested in established AD... (Review)
Review
Suboptimal sleep causes cognitive decline and probably accelerates Alzheimer's Disease (AD) progression. Several sleep interventions have been tested in established AD dementia cases. However early intervention is needed in the course of AD at Mild Cognitive Impairment (MCI) or mild dementia stages to help prevent decline and maintain good quality of life. This systematic review aims to summarize evidence on sleep interventions in MCI and mild AD dementia. Seven databases were systematically searched for interventional studies where ≥ 75% of participants met diagnostic criteria for MCI/mild AD dementia, with a control group and validated sleep outcome measures. Studies with a majority of participants diagnosed with Moderate to Severe AD were excluded. After removal of duplicates, 22,133 references were returned in two separate searches (August 2019 and September 2020). 325 full papers were reviewed with 18 retained. Included papers reported 16 separate studies, total sample (n = 1,056), mean age 73.5 years. 13 interventions were represented: Cognitive Behavioural Therapy - Insomnia (CBT-I), A Multi-Component Group Based Therapy, A Structured Limbs Exercise Programme, Aromatherapy, Phase Locked Loop Acoustic Stimulation, Transcranial Stimulation, Suvorexant, Melatonin, Donepezil, Galantamine, Rivastigmine, Tetrahydroaminoacridine and Continuous Positive Airway Pressure (CPAP). Psychotherapeutic approaches utilising adapted CBT-I and a Structured Limbs Exercise Programme each achieved statistically significant improvements in the Pittsburgh Sleep Quality Index with one study reporting co-existent improved actigraphy variables. Suvorexant significantly increased Total Sleep Time and Sleep Efficiency whilst reducing Wake After Sleep Onset time. Transcranial Stimulation enhanced cortical slow oscillations and spindle power during daytime naps. Melatonin significantly reduced sleep latency in two small studies and sleep to wakefulness transitions in a small sample. CPAP demonstrated efficacy in participants with Obstructive Sleep Apnoea. Evidence to support other interventions was limited. Whilst new evidence is emerging, there remains a paucity of evidence for sleep interventions in MCI and mild AD highlighting a pressing need for high quality experimental studies exploring alternative sleep interventions.
Topics: Alzheimer Disease; Cognitive Dysfunction; Humans; Quality of Life; Sleep
PubMed: 33289311
DOI: 10.1111/jsr.13229 -
The European Respiratory Journal Dec 2022Physical inactivity is common in asthma and is recognised as an important modifiable risk for poor clinical outcomes such as impaired asthma control and health-related... (Meta-Analysis)
Meta-Analysis Review
INTRODUCTION
Physical inactivity is common in asthma and is recognised as an important modifiable risk for poor clinical outcomes such as impaired asthma control and health-related quality of life (HRQoL). Despite evidence supporting the role of physical activity in reducing the risk of these outcomes, little is known about optimal interventions for increasing physical activity in those with severe disease. This systematic review and meta-analysis evaluates the effectiveness of interventions in increasing physical activity in severe asthma.
METHODS
MEDLINE, the Cumulative Index to Nursing and Allied Health Literature, Embase, PubMed, Informit, SPORTDiscus and Cochrane databases were searched up to September 2021 for physical activity-based intervention studies that assessed physical activity outcomes ( steps per day, time spent undertaking physical activity) in adults with severe asthma. Data on asthma-related ( asthma control) and health-related outcomes ( HRQoL) were assessed as secondary outcomes. The revised Cochrane Risk of Bias tool was used to assess risk of bias. Random-effects meta-analyses synthesised data where possible.
RESULTS
Four randomised controlled trials (all 12 weeks in duration) including 176 adults with moderate-to-severe asthma were included. An increase in physical activity was reported with a moderate-vigorous intensity aerobic and resistance training intervention (steps per day and time spent undertaking physical activity), and an unsupervised pedometer-based intervention (steps per day). Meta-analyses showed that physical activity interventions had an overall positive effect on steps per day (mean difference (MD) 1588, 95% CI 399-2778; p0.009, I=23), asthma control (MD -0.65, 95% CI -0.95--0.35; p<0.0001, I=0%) and HRQoL (MD 0.56, 95% CI 0.10-1.01; p0.02, I=16%) compared to control.
CONCLUSION
While there is some evidence supporting the effectiveness of interventions in improving physical activity in adults with severe asthma, higher-quality, large-scale studies of longer duration are needed to determine the optimal intervention.
Topics: Adult; Humans; Quality of Life; Exercise; Sedentary Behavior; Asthma; Actigraphy
PubMed: 35896208
DOI: 10.1183/13993003.00546-2022 -
BMC Psychiatry May 2020To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis. (Meta-Analysis)
Meta-Analysis
BACKGROUND
To examine the effectiveness and safety of yoga of women with sleep problems by performing a systematic review and meta-analysis.
METHODS
Medline/PubMed, ClinicalKey, ScienceDirect, Embase, PsycINFO, and the Cochrane Library were searched throughout the month of June, 2019. Randomized controlled trials comparing yoga groups with control groups in women with sleep problems were included. Two reviewers independently evaluated risk of bias by using the risk of bias tool suggested by the Cochrane Collaboration for programming and conducting systematic reviews and meta-analyses. The main outcome measure was sleep quality or the severity of insomnia, which was measured using subjective instruments, such as the Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), or objective instruments such as polysomnography, actigraphy, and safety of the intervention. For each outcome, a standardized mean difference (SMD) and confidence intervals (CIs) of 95% were determined.
RESULTS
Nineteen studies in this systematic review included 1832 participants. The meta-analysis of the combined data conducted according to Comprehensive Meta-Analysis showed a significant improvement in sleep (SMD = - 0.327, 95% CI = - 0.506 to - 0.148, P < 0.001). Meta-analyses revealed positive effects of yoga using PSQI scores in 16 randomized control trials (RCTs), compared with the control group in improving sleep quality among women using PSQI (SMD = - 0.54; 95% CI = - 0.89 to - 0.19; P = 0.003). However, three RCTs revealed no effects of yoga compared to the control group in reducing insomnia among women using ISI (SMD = - 0.13; 95% CI = - 0.74 to 0.48; P = 0.69). Seven RCTs revealed no evidence for effects of yoga compared with the control group in improving sleep quality for women with breast cancer using PSQI (SMD = - 0.15; 95% CI = - 0.31 to 0.01; P = 0.5). Four RCTs revealed no evidence for the effects of yoga compared with the control group in improving the sleep quality for peri/postmenopausal women using PSQI (SMD = - 0.31; 95% CI = - 0.95 to 0.33; P = 0.34). Yoga was not associated with any serious adverse events.
DISCUSSION
This systematic review and meta-analysis demonstrated that yoga intervention in women can be beneficial when compared to non-active control conditions in term of managing sleep problems. The moderator analyses suggest that participants in the non-breast cancer subgroup and participants in the non-peri/postmenopausal subgroup were associated with greater benefits, with a direct correlation of total class time with quality of sleep among other related benefits.
Topics: Female; Humans; Quality of Life; Recreation; Sleep; Sleep Initiation and Maintenance Disorders; Yoga
PubMed: 32357858
DOI: 10.1186/s12888-020-02566-4 -
Journal of Affective Disorders Apr 2023Cognitive impairment experienced by people with bipolar disorders (BD) or major depressive disorder (MDD) is associated with impaired psychosocial function and poorer... (Review)
Review
BACKGROUND
Cognitive impairment experienced by people with bipolar disorders (BD) or major depressive disorder (MDD) is associated with impaired psychosocial function and poorer quality of life. Sleep disturbance is another core symptom of mood disorders which may be associated with, and perhaps worsen, cognitive impairments. The aim of this systematic review was to critically assess the relationship between sleep disturbance and cognitive impairment in mood disorders.
METHODS
In this systematic review, relevant studies were identified using electronic database searches of PsychINFO, MEDLINE, Embase and Web of Science.
FINDINGS
Fourteen studies were included; eight investigated people with BD, five investigated people with MDD, and one included both people with MDD and people with BD. One study was an intervention for sleep disturbance and the remaining thirteen studies used either a longitudinal or cross-sectional observational design. Ten studies reported a significant association between subjectively measured sleep disturbance and cognitive impairment in people with MDD or BD after adjusting for demographic and clinical covariates, whereas no such association was found in healthy participants. Two studies reported a significant association between objectively measured (actigraphy or polysomnography) sleep abnormalities and cognitive impairment in mood disorders. One study of cognitive behavioural therapy for insomnia modified for BD (CBTI-BD) found an association between improvements in sleep and cognitive performance in BD.
INTERPRETATION
There is preliminary evidence to suggest a significant association between sleep disturbance and cognitive impairment in mood disorders. These findings highlight the need for further research of sleep disturbances and cognitive impairment in people with mood disorders.
Topics: Humans; Mood Disorders; Depressive Disorder, Major; Cross-Sectional Studies; Quality of Life; Cognitive Dysfunction; Sleep; Sleep Wake Disorders
PubMed: 36739007
DOI: 10.1016/j.jad.2023.01.114 -
The Cochrane Database of Systematic... Jun 2022Healthy sleep is an important component of childhood development. Changes in sleep architecture, including sleep stage composition, quantity, and quality from infancy to... (Review)
Review
BACKGROUND
Healthy sleep is an important component of childhood development. Changes in sleep architecture, including sleep stage composition, quantity, and quality from infancy to adolescence are a reflection of neurologic maturation. Hospital admission for acute illness introduces modifiable risk factors for sleep disruption that may negatively affect active brain development during a period of illness and recovery. Thus, it is important to examine non-pharmacologic interventions for sleep promotion in the pediatric inpatient setting.
OBJECTIVES
To evaluate the effect of non-pharmacological sleep promotion interventions in hospitalized children and adolescents on sleep quality and sleep duration, child or parent satisfaction, cost-effectiveness, delirium incidence, length of mechanical ventilation, length of stay, and mortality.
SEARCH METHODS
We searched CENTRAL, MEDLINE, Embase, CINAHL, three other databases, and three trials registers to December 2021. We searched Google Scholar, and two websites, handsearched conference abstracts, and checked reference lists of included studies.
SELECTION CRITERIA
Randomized controlled trials (RCTs) or quasi-RCTs, including cross-over trials, investigating the effects of any non-pharmacological sleep promotion intervention on the sleep quality or sleep duration (or both) of children aged 1 month to 18 years in the pediatric inpatient setting (intensive care unit [ICU] or general ward setting).
DATA COLLECTION AND ANALYSIS
Two review authors independently assessed trial eligibility, evaluated risk of bias, extracted and synthesized data, and used the GRADE approach to assess certainty of evidence. The primary outcomes were changes in both objective and subjective validated measures of sleep in children; secondary outcomes were child and parent satisfaction, cost-effectiveness ratios, delirium incidence or delirium-free days at time of hospital discharge, duration of mechanical ventilation, length of hospital stay, and mortality.
MAIN RESULTS
We included 10 trials (528 participants; aged 3 to 22 years) in inpatient pediatric settings. Seven studies were conducted in the USA, two in Canada, and one in Brazil. Eight studies were funded by government, charity, or foundation grants. Two provided no information on funding. Eight studies investigated behavioral interventions (massage, touch therapy, and bedtime stories); two investigated physical activity interventions. Duration and timing of interventions varied widely. All studies were at high risk of performance bias due to the nature of the intervention, as participants, parents, and staff could not be masked to group assignment. We were unable to perform a quantitative synthesis due to substantial clinical heterogeneity. Behavioral interventions versus usual care Five studies (145 participants) provided low-certainty evidence of no clear difference between multicomponent relaxation interventions and usual care on objective sleep measures. Overall, evidence from single studies found no clear differences in daytime or nighttime sleep measures (33 participants); any sleep parameter (48 participants); or daytime or nighttime sleep or nighttime arousals (20 participants). One study (34 participants) reported no effect of massage on nighttime sleep, sleep efficiency (SE), wake after sleep onset (WASO), or total sleep time (TST) in adolescents with cancer. Evidence from a cross-over study in 10 children with burns suggested touch therapy may increase TST (391 minutes, interquartile range [IQR] 251 to 467 versus 331 minutes, IQR 268 to 373; P = 0.02); SE (76, IQR 53 to 90 versus 66, IQR 55 to 78; P = 0.04); and the number of rapid eye movement (REM) periods (4.5, IQR 2 to 5 versus 3.5, IQR 2 to 4; P = 0.03); but not WASO, sleep latency (SL), total duration of REM, or per cent of slow wave sleep. Four studies (232 participants) provided very low-certainty evidence on subjective measures of sleep. Evidence from single studies found that sleep efficiency may increase, and the percentage of nighttime wakefulness may decrease more over a five-day period following a massage than usual care (72 participants). One study (48 participants) reported an improvement in Children's Sleep Habits Questionnaire scores after discharge in children who received a multicomponent relaxation intervention compared to usual care. In another study, mean sleep duration per sleep episode was longer (23 minutes versus 15 minutes), and time to fall asleep was shorter (22 minutes versus 27 minutes) following a bedtime story versus no story (18 participants); and children listening to a parent-recorded story had longer SL than when a parent was present (mean 57.5 versus 43.5 minutes); both groups reported longer SL than groups who had a stranger-recorded story, and those who had no story and absent parents (94 participants; P < 0.001). In one study (34 participants), 87% (13/15) of participants felt they slept better following massage, with most parents (92%; 11/12) reporting they wanted their child to receive a massage again. Another study (20 participants) reported that parents thought the music, touch, and reading components of the intervention were acceptable, feasible, and had positive effects on their children (very low-certainty evidence). Physical activity interventions versus usual care One study (29 participants) found that an enhanced physical activity intervention may result in little or no improvement in TST or SE compared to usual care (low-certainty evidence). Another study (139 participants), comparing play versus no play found inconsistent results on subjective measures of sleep across different ages (TST was 49% higher for the no play groups in 4- to 7-year olds, 10% higher in 7- to 11-year olds, and 22% higher in 11- to 14-year olds). This study also found inconsistent results between boys and girls (girls in the first two age groups in the play group slept more than the no play group). No study evaluated child or parent satisfaction for behavioral interventions, or cost-effectiveness, delirium incidence or delirium-free days at hospital discharge, length of mechanical ventilation, length of hospital stay, or mortality for either behavioral or physical activity intervention.
AUTHORS' CONCLUSIONS
The included studies were heterogeneous, so we could not quantitatively synthesize the results. Our narrative summary found inconsistent, low to very low-certainty evidence. Therefore, we are unable to determine how non-pharmacologic sleep promotion interventions affect sleep quality or sleep duration compared with usual care or other interventions. The evidence base should be strengthened through design and conduct of randomized trials, which use validated and highly reliable sleep assessment tools, including objective measures, such as polysomnography and actigraphy.
Topics: Adolescent; Child; Child, Hospitalized; Delirium; Female; Humans; Intensive Care Units; Male; Randomized Controlled Trials as Topic; Respiration, Artificial; Sleep
PubMed: 35703367
DOI: 10.1002/14651858.CD012908.pub2 -
Journal of Medical Internet Research Nov 2019Wearable sleep monitors are of high interest to consumers and researchers because of their ability to provide estimation of sleep patterns in free-living conditions in a... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Wearable sleep monitors are of high interest to consumers and researchers because of their ability to provide estimation of sleep patterns in free-living conditions in a cost-efficient way.
OBJECTIVE
We conducted a systematic review of publications reporting on the performance of wristband Fitbit models in assessing sleep parameters and stages.
METHODS
In adherence with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we comprehensively searched the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane, Embase, MEDLINE, PubMed, PsycINFO, and Web of Science databases using the keyword Fitbit to identify relevant publications meeting predefined inclusion and exclusion criteria.
RESULTS
The search yielded 3085 candidate articles. After eliminating duplicates and in compliance with inclusion and exclusion criteria, 22 articles qualified for systematic review, with 8 providing quantitative data for meta-analysis. In reference to polysomnography (PSG), nonsleep-staging Fitbit models tended to overestimate total sleep time (TST; range from approximately 7 to 67 mins; effect size=-0.51, P<.001; heterogenicity: I=8.8%, P=.36) and sleep efficiency (SE; range from approximately 2% to 15%; effect size=-0.74, P<.001; heterogenicity: I=24.0%, P=.25), and underestimate wake after sleep onset (WASO; range from approximately 6 to 44 mins; effect size=0.60, P<.001; heterogenicity: I=0%, P=.92) and there was no significant difference in sleep onset latency (SOL; P=.37; heterogenicity: I=0%, P=.92). In reference to PSG, nonsleep-staging Fitbit models correctly identified sleep epochs with accuracy values between 0.81 and 0.91, sensitivity values between 0.87 and 0.99, and specificity values between 0.10 and 0.52. Recent-generation Fitbit models that collectively utilize heart rate variability and body movement to assess sleep stages performed better than early-generation nonsleep-staging ones that utilize only body movement. Sleep-staging Fitbit models, in comparison to PSG, showed no significant difference in measured values of WASO (P=.25; heterogenicity: I=0%, P=.92), TST (P=.29; heterogenicity: I=0%, P=.98), and SE (P=.19) but they underestimated SOL (P=.03; heterogenicity: I=0%, P=.66). Sleep-staging Fitbit models showed higher sensitivity (0.95-0.96) and specificity (0.58-0.69) values in detecting sleep epochs than nonsleep-staging models and those reported in the literature for regular wrist actigraphy.
CONCLUSIONS
Sleep-staging Fitbit models showed promising performance, especially in differentiating wake from sleep. However, although these models are a convenient and economical means for consumers to obtain gross estimates of sleep parameters and time spent in sleep stages, they are of limited specificity and are not a substitute for PSG.
Topics: Actigraphy; Female; Humans; Male; Sleep; Wrist
PubMed: 31778122
DOI: 10.2196/16273 -
Nutrients Apr 2021This study aimed to assess the effects of quantity, quality and periodization of carbohydrates consumption on sleep. PubMed, SCOPUS and Cochrane Library were searched... (Meta-Analysis)
Meta-Analysis
This study aimed to assess the effects of quantity, quality and periodization of carbohydrates consumption on sleep. PubMed, SCOPUS and Cochrane Library were searched through October 2020. Data were pooled using random-effects meta-analysis. Eleven articles were included in the meta-analysis which consisted of 27 separate nutrition trials, resulting in 16 comparison data sets (sleep quantity = 11; sleep quality = 5). Compared to high carbohydrate (HCI), low carbohydrate intake (LCI) moderately increased duration and proportion of N3 sleep stage (ES = 0.37; 95% CI = 0.18, 0.56; < 0.001 and ES = 0.51; 95% CI = 0.33, 0.69; < 0.001, respectively). HCI prolonged rapid eye movement (REM) stage duration (ES = -0.38; 95% CI = 0.05, -8.05; < 0.001) and proportion (ES = -0.46; 95% CI = -0.83, -0.01; < 0.001), compared to LCI. The quality of carbohydrate intake did not affect sleep stages. Meta-regression showed that the effectiveness of carbohydrate quantity and quality in sleep onset latency was significantly explained by alterations of carbohydrate intake as a percentage of daily energy intake (R = 25.87, = 0.018) and alterations in the glycemic load (R = 50.8, = 0.048), respectively. Alterations in glycemic load partially explained the variance of the effectiveness of carbohydrate quality in sleep efficiency (R = 89.2, < 0.001) and wake after sleep onset (R = 64.9, = 0.018). Carbohydrate quantity was shown to affect sleep architecture, and especially N3 and REM sleep stages. Alterations in both quantity and quality of carbohydrate intake showed a significant effect on sleep initiation. Variations in carbohydrate quality significantly affected measures of sleep continuation. Further studies are needed to assess the effect of long-term carbohydrate interventions on sleep.
Topics: Clinical Trials as Topic; Datasets as Topic; Dietary Carbohydrates; Feeding Behavior; Humans; Polysomnography; Sleep; Sleep Initiation and Maintenance Disorders; Treatment Outcome
PubMed: 33919698
DOI: 10.3390/nu13041283 -
The Cochrane Database of Systematic... Nov 2020Sleep disturbances, including reduced nocturnal sleep time, sleep fragmentation, nocturnal wandering, and daytime sleepiness are common clinical problems in dementia,... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Sleep disturbances, including reduced nocturnal sleep time, sleep fragmentation, nocturnal wandering, and daytime sleepiness are common clinical problems in dementia, and are associated with significant carer distress, increased healthcare costs, and institutionalisation. Although non-drug interventions are recommended as the first-line approach to managing these problems, drug treatment is often sought and used. However, there is significant uncertainty about the efficacy and adverse effects of the various hypnotic drugs in this clinically vulnerable population.
OBJECTIVES
To assess the effects, including common adverse effects, of any drug treatment versus placebo for sleep disorders in people with dementia.
SEARCH METHODS
We searched ALOIS (www.medicine.ox.ac.uk/alois), the Cochrane Dementia and Cognitive Improvement Group's Specialized Register, on 19 February 2020, using the terms: sleep, insomnia, circadian, hypersomnia, parasomnia, somnolence, rest-activity, and sundowning.
SELECTION CRITERIA
We included randomised controlled trials (RCTs) that compared a drug with placebo, and that had the primary aim of improving sleep in people with dementia who had an identified sleep disturbance at baseline.
DATA COLLECTION AND ANALYSIS
Two review authors independently extracted data on study design, risk of bias, and results. We used the mean difference (MD) or risk ratio (RR) with 95% confidence intervals (CI) as the measures of treatment effect, and where possible, synthesised results using a fixed-effect model. Key outcomes to be included in our summary tables were chosen with the help of a panel of carers. We used GRADE methods to rate the certainty of the evidence.
MAIN RESULTS
We found nine eligible RCTs investigating: melatonin (5 studies, n = 222, five studies, but only two yielded data on our primary sleep outcomes suitable for meta-analysis), the sedative antidepressant trazodone (1 study, n = 30), the melatonin-receptor agonist ramelteon (1 study, n = 74, no peer-reviewed publication), and the orexin antagonists suvorexant and lemborexant (2 studies, n = 323). Participants in the trazodone study and most participants in the melatonin studies had moderate-to-severe dementia due to Alzheimer's disease (AD); those in the ramelteon study and the orexin antagonist studies had mild-to-moderate AD. Participants had a variety of common sleep problems at baseline. Primary sleep outcomes were measured using actigraphy or polysomnography. In one study, melatonin treatment was combined with light therapy. Only four studies systematically assessed adverse effects. Overall, we considered the studies to be at low or unclear risk of bias. We found low-certainty evidence that melatonin doses up to 10 mg may have little or no effect on any major sleep outcome over eight to 10 weeks in people with AD and sleep disturbances. We could synthesise data for two of our primary sleep outcomes: total nocturnal sleep time (TNST) (MD 10.68 minutes, 95% CI -16.22 to 37.59; 2 studies, n = 184), and the ratio of day-time to night-time sleep (MD -0.13, 95% CI -0.29 to 0.03; 2 studies; n = 184). From single studies, we found no evidence of an effect of melatonin on sleep efficiency, time awake after sleep onset, number of night-time awakenings, or mean duration of sleep bouts. There were no serious adverse effects of melatonin reported. We found low-certainty evidence that trazodone 50 mg for two weeks may improve TNST (MD 42.46 minutes, 95% CI 0.9 to 84.0; 1 study, n = 30), and sleep efficiency (MD 8.53%, 95% CI 1.9 to 15.1; 1 study, n = 30) in people with moderate-to-severe AD. The effect on time awake after sleep onset was uncertain due to very serious imprecision (MD -20.41 minutes, 95% CI -60.4 to 19.6; 1 study, n = 30). There may be little or no effect on number of night-time awakenings (MD -3.71, 95% CI -8.2 to 0.8; 1 study, n = 30) or time asleep in the day (MD 5.12 minutes, 95% CI -28.2 to 38.4). There were no serious adverse effects of trazodone reported. The small (n = 74), phase 2 trial investigating ramelteon 8 mg was reported only in summary form on the sponsor's website. We considered the certainty of the evidence to be low. There was no evidence of any important effect of ramelteon on any nocturnal sleep outcomes. There were no serious adverse effects. We found moderate-certainty evidence that an orexin antagonist taken for four weeks by people with mild-to-moderate AD probably increases TNST (MD 28.2 minutes, 95% CI 11.1 to 45.3; 1 study, n = 274) and decreases time awake after sleep onset (MD -15.7 minutes, 95% CI -28.1 to -3.3: 1 study, n = 274) but has little or no effect on number of awakenings (MD 0.0, 95% CI -0.5 to 0.5; 1 study, n = 274). It may be associated with a small increase in sleep efficiency (MD 4.26%, 95% CI 1.26 to 7.26; 2 studies, n = 312), has no clear effect on sleep latency (MD -12.1 minutes, 95% CI -25.9 to 1.7; 1 study, n = 274), and may have little or no effect on the mean duration of sleep bouts (MD -2.42 minutes, 95% CI -5.53 to 0.7; 1 study, n = 38). Adverse events were probably no more common among participants taking orexin antagonists than those taking placebo (RR 1.29, 95% CI 0.83 to 1.99; 2 studies, n = 323).
AUTHORS' CONCLUSIONS
We discovered a distinct lack of evidence to guide decisions about drug treatment of sleep problems in dementia. In particular, we found no RCTs of many widely prescribed drugs, including the benzodiazepine and non-benzodiazepine hypnotics, although there is considerable uncertainty about the balance of benefits and risks for these common treatments. We found no evidence for beneficial effects of melatonin (up to 10 mg) or a melatonin receptor agonist. There was evidence of some beneficial effects on sleep outcomes from trazodone and orexin antagonists and no evidence of harmful effects in these small trials, although larger trials in a broader range of participants are needed to allow more definitive conclusions to be reached. Systematic assessment of adverse effects in future trials is essential.
Topics: Alzheimer Disease; Azepines; Caregiver Burden; Cognition; Humans; Indenes; Melatonin; Pyridines; Pyrimidines; Randomized Controlled Trials as Topic; Sleep; Sleep Wake Disorders; Time Factors; Trazodone; Triazoles
PubMed: 33189083
DOI: 10.1002/14651858.CD009178.pub4 -
Psychological Medicine May 2022Psychomotor slowing is a key feature of depressive disorders. Despite its great clinical importance, the pathophysiology and prevalence across different diagnoses and... (Meta-Analysis)
Meta-Analysis Review
Psychomotor slowing is a key feature of depressive disorders. Despite its great clinical importance, the pathophysiology and prevalence across different diagnoses and mood states are still poorly understood. Actigraphy allows unbiased, objective, and naturalistic assessment of physical activity as a marker of psychomotor slowing. Yet, the true effect-sizes remain unclear as recent, large systematic reviews are missing. We conducted a novel meta-analysis on actigraphically measured slowing in depression with strict inclusion and exclusion criteria for diagnosis ascertainment and sample duplications. Medline/PubMed and Web-of-Science were searched with terms combining mood-keywords and actigraphy-keywords until September 2021. Original research measuring actigraphy for ⩾24 h in at least two groups of depressed, remitted, or healthy participants and applying operationalized diagnosis was included. Studies in somatically ill patients, N < 10 participants/group, and studies using consumer-devices were excluded. Activity-levels between groups were compared using random-effects models with standardized-mean-differences and several moderators were examined. In total, 34 studies (n = 1804 patients) were included. Patients had lower activity than controls [standardized mean difference (s.m.d.) = -0.78, 95% confidence interval (CI) -0.99 to -0.57]. Compared to controls, patients with unipolar and bipolar disorder had lower activity than controls whether in depressed (unipolar: s.m.d. = -0.82, 95% CI -1.07 to -0.56; bipolar: s.m.d. = -0.94, 95% CI -1.41 to -0.46), or remitted/euthymic mood (unipolar: s.m.d. = -0.28, 95% CI -0.56 to 0.0; bipolar: s.m.d. = -0.92, 95% CI -1.36 to -0.47). None of the examined moderators had any significant effect. To date, this is the largest meta-analysis on actigraphically measured slowing in mood disorders. They are associated with lower activity, even in the remitted/euthymic mood-state. Studying objective motor behavior via actigraphy holds promise for informing screening and staging of affective disorders.
Topics: Actigraphy; Bipolar Disorder; Depression; Humans; Mood Disorders
PubMed: 35550677
DOI: 10.1017/S0033291722000903 -
Neuroscience and Biobehavioral Reviews Apr 2022Sleep and circadian rhythms disturbances (SCRD) in young people at high risk or with early onset of bipolar disorders (BD) are poorly understood. We systematically... (Meta-Analysis)
Meta-Analysis Review
Sleep and circadian rhythms disturbances (SCRD) in young people at high risk or with early onset of bipolar disorders (BD) are poorly understood. We systematically searched for studies of self, observer or objective estimates of SCRD in asymptomatic or symptomatic offspring of parents with BD (OSBD), individuals with presentations meeting recognised BD-at-risk criteria (BAR) and youth with recent onset of full-threshold BD (FT-BD). Of 76 studies eligible for systematic review, 35 (46%) were included in random effects meta-analyses. Pooled analyses of self-ratings related to circadian rhythms demonstrated greater preference for eveningness and more dysregulation of social rhythms in BAR and FT-BD groups; analyses of actigraphy provided some support for these findings. Meta-analysis of prospective studies showed that pre-existing SCRD were associated with a 40% increased risk of onset of BD, but heterogeneity in assessments was a significant concern. Overall, we identified longer total sleep time (Hedges g: 0.34; 95% confidence intervals:.1, .57), especially in OSBD and FT-BD and meta-regression analysis indicated the effect sizes was moderated by the proportion of any sample manifesting psychopathology or receiving psychotropic medications. This evolving field of research would benefit from greater attention to circadian rhythm as well as sleep quality measures.
Topics: Adolescent; Bipolar Disorder; Circadian Rhythm; Humans; Prospective Studies; Sleep; Sleep Wake Disorders
PubMed: 35182537
DOI: 10.1016/j.neubiorev.2022.104585