Abstract
Background
The prevalence of sleep problems in adulthood increases with age. While not all sleep changes are pathological in later life, severe disturbances may lead to depression, cognitive impairments, deterioration of quality of life, significant stresses for carers and increased healthcare costs. The most common treatment for sleep disorders (particularly insomnia) is pharmacological. The efficacy of non‐drug interventions has been suggested to be slower than pharmacological methods, but with no risk of drug‐related tolerance or dependency. Physical exercise, taken regularly, may promote relaxation and raise core body temperature in ways that are beneficial to initiating and maintaining sleep.
Objectives
To assess the efficacy of physical exercise amongst older adults (aged 60 and above).
Search methods
We searched: The Cochrane Library (Issue 1, 2002); MEDLINE (1966 to January 2002); EMBASE (1980 to January 2002); CINAHL (1982 to January 2002); PsycINFO (1887 to January 2002); National Research Register (Issue1, 2002). Bibliographies of existing reviews in the area, as well as of all trial reports obtained, were searched. Experts in the field were consulted.
Selection criteria
Randomised controlled trials of physical exercise for primary insomnia where 80% or more of participants were over the age of 60. Participants must have been screened to exclude those with dementia and/or depression.
Data collection and analysis
Abstracts of studies identified in searches of electronic databases were read and assessed to determine whether they might meet the inclusion criteria. Data were analysed separately depending on whether results had been obtained subjectively or objectively.
Main results
One trial, including 43 participants with insomnia, examined the effectiveness of exercise in a population within an elderly population. At post‐treatment, sleep onset latency improved slightly for both men and women. Total sleep duration, sleep onset latency and scores on a scale of global sleep quality showed significant improvement. Improvements in sleep efficiency were not significant. In some cases improvements indicated falls to below what are usually considered pathological levels but the wide confidence intervals and small sample size indicate that these findings must be interpreted with caution.
Authors' conclusions
When the possible side‐effects of standard treatment (hypnotics) are considered, there is an argument to be made for clinical use of alternative treatments in the elderly. Exercise, though not appropriate for all in this population, may enhance sleep and contribute to an increased quality of life. Research involving exercise programmes designed with the elderly in mind is needed.
Plain language summary
Physical exercise as a treatment for sleep problems in older people
Sleep problems become more common with age, affect quality of life for individuals and their families, and can increase healthcare costs. Older people are often prescribed a range of drugs for their health problems (including with sleep) many of which have side effects. This review considered the effectiveness of a programme of physical exercise involving brisk walking and moderate resistance training tailored for the needs of the older adult. These reviewers report that evidence from one small trial is encouraging, and further research is needed.
Background
Description of the condition
The incidence of sleep problems in adulthood increases with age (Brabbins 1993); National Commission on Sleep Disorders Research (NCSDR 1993; NCSDR 1993; Bliwise 1993; Foley 1995; Ford 1989). In the general population the most common types of sleep problems reported are insomnia (both in initiating and maintaining sleep) and early morning wakings with an inability to return to sleep. Older adults primarily report difficulty in maintaining sleep and while not all sleep changes are pathological in later life (Bliwise 1993; Morin 1989) severe sleep disturbances may lead to depression and cognitive impairments (Ford 1989). Night waking is very stressful for carers and is a common cause for demands that institutional living arrangements be made (Pollak 1990).
Prevalence rates of insomnia in people aged 65 and over range between 12 and 30%. There are reports that the impact of chronic sleep disturbance impairs waking functions (e.g. mood, energy, performance) and life quality (Borkovec 1982; Morin 1989). Evidence exists that sleep disturbances contribute significantly to healthcare costs (Stoller 1994; Simon 1997). Prevalence rates of insomnia are even higher when co‐existing medical or psychiatric illness is taken into account (Ford 1989; Mellinger 1995). Lifestyle changes related to retirement, the increased incidence of health problems, and the use of medication, all place older people at increased risk of disrupted sleep (Morgan 1988).
Despite the high prevalence of sleep disorders and their negative impact, it is estimated that less than 15% of patients with chronic insomnia receive treatment (Mellinger 1995). This may be related to a lack of knowledge about sleep and its disorders amongst health professionals. It is reported that the median amount of time spent on sleep in medical training in the UK is five minutes (Stores 1998) and that in clinical psychology it is no better (Wiggs 1996).
Description of the intervention
The most common treatment for sleep disorders is pharmacological, particularly for insomnia (Hohagen 1994; Morin 1999b; Kupfer 1997). Lack of knowledge about non‐drug treatment and limited access to other forms of professional help are cited by physicians as the main reason for prescribing sleeping pills (Baillargeon 1996). However the long‐term efficacy of this approach, which typically involves the administration of hypnotics such as benzodiazepines and zolpidem, is not certain. Two consensus conferences sponsored by the National Institute of Health (NIH 1983; NIH 1990) concluded that short‐term use of hypnotic medications may be useful for acute and situational insomnia, but long‐term use remains controversial because of the potential risk of tolerance and dependency. The consensus statements produced by these NIH conferences indicate that the drug of choice for the symptomatic treatment of insomnia is the benzodiazepine receptor agonist (e.g. temazepam, zolpidem etc). Nowell et al (Nowell 1997) found that these drugs do improve sleep latency (the time between going to bed and going to sleep), number of awakenings, total sleep time and total sleep quality. However, follow‐up was only considered in the one or two nights following discontinuation of the drug's administration. It has been reported that older people are more likely to be affected by daytime residual effects of these sorts of drugs (Prinz 1990; Morgan 1988) and that these drugs may increase the likelihood of patients developing sleep apnoea (Kripke 1983) and are associated with increased mortality (Kripke 1998). The efficacy of non‐drug interventions has been suggested to be slower but more durable than pharmacological methods (Hauri 1997; McClusky 1991; Milby 1993). In view of the frequently high numbers of drugs that older people may be taking, an evidence‐based non‐drug approach is of interest.
How the intervention might work
It has been reported that exercise programmes designed with the older adult in mind may help these individuals to prevent and treat sleep disorders when such disorders have been specifically linked to depression (Singh 1997a; Singh 1997b; Singh 2001). Much has been written discussing the benefits of exercise for depression in younger populations (Byrne 1993; Artal 1998). However, research on the benefits of exercise for improving sleep in an older, non‐depressed population is scant.
To date, generalisability of the results of studies of sleep and exercise are limited by the fact that they have tended to focus on good sleepers and/or young sleepers, leaving little scope for the measurement of improvement (ceiling effect) (Youngstedt 2002). Whilst it is generally believed that exercise has a beneficial effect on the quality of sleep, researchers have suggested that empirical evidence is limited (Driver 2000). The mechanisms of the effect on sleep are argued to be so complex that to "expect a straightforward answer is an oversimplification of a complex set of activities that may be physiologically and psychologically beneficial but may also stress the body" (Driver 2000). Traditionally, three main theories have been postulated to account for the connection between exercise and sleep including (1) thermoregulation, (2) body restoration, and (3) energy conservation. Firstly, the thermoregulatory theory posits that raising temperature (through, for example, exercise or passive body heating before bedtime can activate heat loss and the associated sleep mechanisms (Horne 1983; Van Someren 2000). Currently less influential, the body restoration theory predicts that "conditions for anabolic activity during sleep will be favoured by high catabolic activity during wakefulness", whilst the energy conservation theory contends that an energy budget exists and must be balanced; and so, greater energy expenditure will require greater rest. (Driver 2000; Adam 1983). Recent research contains hypotheses that exercise has benefits for sleep through its anxiolytic (anti‐anxiety) and antidepressant effects, its circadian phase‐shifting effects and its tendency to raise levels of adenosine (Youngstedt 2000).
A few studies have considered the existence of a link between sleep and core body temperature, on which exercise has a significant effect. Zepelin and McDonald (Zepelin 1987) found a significant negative correlation between timing of wakings after the onset of sleep (WASO) and body temperature in both young and elderly non‐sleep‐disturbed individuals. Using multiple regression analyses they found that the timing of the temperature nadir and age together accounted for 57% of the variance in (WASO). These findings are further supported by the work of Haimov et al (Haimov 1994) again in both young and elderly populations this time both with and without sleep disturbance. Scott and Murphy, studying middle aged and elderly people found that not only was the timing of the minimum core body temperature correlated negatively with age, but that the earlier the temperature nadir, the more disturbed and shorter was a person's sleep. The hypothesis these studies tested was that declines in sleep quality would be associated with age‐related alterations in the circadian rhythm of body temperature, particularly with a phase advance in the timing of the temperature minimum. The disputed mechanisms by which exercise affects sleep has a special importance with regard to an older population, as specific limitations on activities on the part of older people as the ageing process continues and co‐morbid conditions (e.g. arthritis, heart disease) multiply may increase the demand for sleep aids which do not make unfeasible physical demands on participants. Therefore, a question related to exercise therapy for sleep problems in older adults is whether or not it can effectively be combined or substituted with passive heat treatments, e.g. the bathing as investigated by the non‐randomised trial undertaken by Dorsey et al (Dorsey 1996).
Why it is important to do this review
For the purposes of this review we will concern ourselves only with the effects on sleep of active participation in exercise programmes designed for older populations. We set out to investigate the area of non‐drug treatments for sleep problems in the older adult by undertaking three separate reviews to cover cognitive behavioural treatments (for which some evidence of effectiveness exists) (Montgomery 2003), bright light therapy (for which no relevant studies have been identified) (Montgomery 2002), and physical exercise (this review). A summary review will set out the evidence for a range of non‐drug treatments in an effort to answer the clinical question "What alternatives to medication exist for sleep problems in the older adult?".
Objectives
To assess the efficacy of physical exercise in improving sleep quality, duration and timing amongst older adults (aged 60 upward).
Methods
Criteria for considering studies for this review
Types of studies
All relevant randomised controlled trials in which participants had been randomly allocated to an intervention group and a control group.
Types of participants
In determining a cut‐off point in age for this review, the age of 60 was chosen as being most clinically relevant, following consultation (DPOA 2000). Trials whose focus was explicitly on the older adult were included when 80% or more of participants were recorded as being over the age of 60. Participants must have been diagnosed with sleep problems via standardised measures (e.g. the PSQI [PSQI 1989]), objective measures in sleep laboratory (e.g. polysomnography, actigraphy) or by reports/diaries kept by partners or by nursing staff. Participants must also have been screened to exclude those with dementia and/or depression by the use of a psychometrically sound measure such as the Mini Mental State Examination (MMSE [Folstein 1975]) or comparable instrument. This is to avoid the confounding effects of these conditions.
Sleep problems addressed in this series of reviews will include:
Primary insomnia: * difficulties in initiating and maintaining sleep * sleep efficiency * sleep latency * delayed or advanced sleep phase problems * parasomnias * impaired daytime functioning
As sleep apnoea is primarily treated as a respiratory condition, trials whose participants who have been diagnosed as having sleep apnoea will be excluded. Those with secondary insomnia or sleep disturbance caused by a psychiatric or medical disorder will also be excluded. Subgroup analysis are planned in the event that clinically relevant differences between subject groups are found or suspected, e.g. between domestic and nursing home settings, or between primary outcomes e.g. sleep latency and daytime functioning.
Types of interventions
Exercise programmes designed for the older adult were considered within this review.
Types of outcome measures
Outcomes measures of interest to the review question include:
Sleep onset latency Wake after sleep onset (WASO) Total wake‐time Sleep duration (total) Early morning wakening (defined by the trialist) Sleep efficiency (ratio of time asleep / over time in bed) Self‐report of sleep satisfaction Scales related to sleep, e.g.. the Pittsburgh Sleep Quality Index (PSQI [PSQI 1989]) Daytime functioning (as measured by attentional tasks tests, self‐report using a standardised measure, e.g. the Stanford Sleepiness Scale [Hoddes 1973], the Epworth Sleepiness Scale [Johns 1991])
Outcomes were divided, where possible, into immediate post‐treatment, medium term (3‐12 months), and long term (more than 12 months).
Search methods for identification of studies
Electronic searches
The following electronic databases were searched: The Cochrane Controlled Trials Register (The Cochrane Library, Issue 1, 2002), MEDLINE (1966 to January 2002); EMBASE (1980 to January 2002); CINAHL (1982 to January 2002); PsycINFO Journal Articles and Chapter/Books (1887 to 2002); National Research Register (NRR) (Issue 1, 2002) ; and the sleep bibliography available at www.websciences.org/bibliosleep/ (1991 to 2002).
Terms were used to isolate controlled trials as appropriate to each database. The search terms in Appendix 1 were used to search the Cochrane Library and were modified as necessary for other databases.
Searching other resources
Reference lists of articles identified through database searches were examined to identify further relevant studies. Bibliographies of systematic and non‐systematic review articles were also examined to identify relevant studies and experts in the field were consulted.
Data collection and analysis
Assessment of methodological quality
Amongst other aspects of methodological quality, the reviewers allocated trials to quality categories as per the Cochrane Collaboration Handbook. Uncertainty was resolved by consensus correspondence with trialists. The Cochrane Collaboration Handbook criteria are based on the evidence of a strong relationship between the potential for bias in the results and the allocation concealment and is defined as below:
A. Low risk of bias (adequate allocation concealment) B. Moderate risk of bias (some doubt about the results) C. High risk of bias (inadequate allocation concealment)
For the purpose of the analysis in this review, trials were included if they met the criteria A or B of the Handbook.
All included studies were critically appraised with consideration of the following questions:
Was the assignment to treatment groups really random? Was allocation adequately concealed? How complete was follow‐up? How were the outcomes of people who withdrew considered? Were those assessing outcomes blind to the treatment allocation?
Selection of studies
All reports of studies identified as above were inspected independently by the two reviewers. Disagreements regarding relevance were resolved by acquisition of the full article and discussion. All selected articles were assessed independently on the basis of the inclusion criteria and disagreements were resolved by consensus. The reviewers were not blinded to the names of the authors, institutions or journal of publication.
Data extraction and management
Data were extracted independently by each reviewer, and compared using data extraction sheets. Where it was not possible to extract any data because they were not available or further information was needed, the first author was contacted for clarification.
Other methods
Meta‐analysis was not possible with just one study included within the review. Should further trials be identified at a later date, these will be analysed using the methods specified in Appendix 2.
Results
Description of studies
Included studies
Only one trial met the criteria for inclusion in this review (King 1997). This involved a trial of 48 older people living in the community (mean age of 62). 43 participants completed the study (90%). Severity of sleep problems at baseline was measured by participants' sleep diaries (used for two weeks before the trials). Objective measures of sleep stage or duration (polysomnography) were not used prior to or during the trial. Triallists reported screening participants for dementia, depression, sleep apnoea and other potential causes of secondary insomnia, via interviews and administration of psychiatric tests (e.g. the MMSE [Folstein 1975]). Exercise adherence rates over the 16 week period were high (93.6%). No follow‐up data were sought. Please see Characteristics of included studies.
Excluded studies
Please see Characteristics of excluded studies.
Risk of bias in included studies
The one trial included within this review used the Efron system for randomisation, using a computerised 'biased coin design'. This was given a score of "B" as per the Cochrane Reviewers' Handbook (Clarke 2001). While blinding of participants or trainers was not possible, the first author reported that all outcome assessors were blinded to which arm of the treatment participants had been allocated to (personal communication). The drop‐out rate of the trial was 5 out of 48 (10%) and thus fell well within the inclusion criteria stated within our protocol. Triallists did not report the consideration of outcomes of participants who withdrew from the study between post‐treatment and follow‐up separately.
There was no reason to think that there was a particular problem with publication bias, merely that studies dealing with the effects of exercise in an older population are relatively rare.
Effects of interventions
Only one trial met the inclusion criteria for this review and data given below are as supplied in the published paper (King 1997). The intervention in this trial consisted of 16 weeks of moderate‐intensity, community‐based exercise training (4 x 30‐40 minutes' endurance training [low impact aerobics; brisk walking] per week). The control group remained on a wait‐list for the intervention. The author has supplied means and SDs for all outcomes (separately, for men and women) which can be analysed in the event that further relevant trials are identified and a meta‐analysis undertaken.
Sleep onset latency (SOL)
In the one trial on exercise included within this review, King et al. (n = 43, 14 men and 29 women) used the PSQI measure for sleep onset latency. They found exercise improved (reduced) SOL by an average of 11.5 minutes (p=0.007) (King 1997).
Wake after sleep onset (WASO)
WASO (whether measured subjectively by sleep diaries or objectively by PSG) was not used in the one trial included within this review (King 1997).
Total wake‐time (in minutes)
Total wake time (whether measured subjectively by sleep diaries or objectively by PSG) was not used in the one trial included within this review (King 1997).
Sleep duration (in minutes)
In the one trial on exercise included within this review, King et al. (n = 43, 14 men and 29 women) used the PSQI measure for sleep duration (or 'total sleep time'). They found exercise improved sleep duration by an average of 42 minutes (p=0.05) (King 1997)
Early morning wakening
Early morning wakening was not measured in the one trial included within this review (King 1997).
Sleep efficiency
In the one trial on exercise included within this review, King et al. (n = 43, 14 men and 29 women) used both the PSQI score for 'habitual sleep efficiency' and sleep diaries to measure sleep efficiency (a proportion of time spent in bed asleep to total time spent in bed). Overall there was no significant improvement (King 1997).
PSQI
King et al. used a standardised scale, the Pittsburgh Sleep Quality Index, at post‐treatment (King 1997). This global measure used is a subjective measure of sleep quality, ranging from 0 to 21. Any score above five is considered indicative of sleep disturbance. King et al reported that PSQI global scores improved (reduced) significantly for those participating in the exercise programme used in their trial (mean post‐test difference between conditions = 3.4) (p <.001, 95% CI = 1.9 ‐ 5.4; ) (King 1997).
No objective data and no follow‐up data were sought for any measure.
Discussion
Sleep problems amongst the elderly are a serious problem that appears to receive inadequate attention despite the negative effects resulting from them; however, this review suggests that there is very little evidence for the use of physical exercise upon which to make clear recommendations for clinicians. Further investigations into the effectiveness of exercise, given the promising nature of results from the trial by King et al., seems justifiable, particularly in view of the negative consequences of pharmacological treatments. This contention may be supported by a prospective study examining 5‐year mortality among hypnotic drug users and respondents with subjective insomnia identified in a longitudinal study of health, activity, and lifestyle (Nottingham Longitudinal Study of Activity and Ageing) which involved 1042 survey respondents, aged over 65 years, concluded that the mortality rate of participants was significantly greater among those taking some form of medication for sleep than for those not taking sleep medication (Rumble 1992).
The results of the one small trial on exercise which fit the inclusion criteria for this review (King 1997) do appear encouraging. Whilst sleep efficiency improved only slightly for both sexes, sleep duration, sleep onset latency and the PSQI scores improved significantly for all. These results cannot be generalised due to small sample size, but they provoke interesting hypotheses for further research. Other limitations to generalising from this small study have to do with the possible confounding effects of daylight (if exercise is taken outside, as in King et al's trial) (King 1997, and comments) as well as disagreement regarding mechanisms for a connection between exercise and sleep (Driver 2000; Youngstedt 2002). Exercise's more established role in combatting depression may have a role in combating sub‐clinical depression‐related insomnia (Artal 1998) which may be highly relevant for this population.
Caveats remain such as that exercise of the type used by King et al. (brisk walking and moderate weight training) may be unsuitable for a large portion of older populations (King 1997). Some research suggests that for such populations passive body heating may increase slow wave sleep (a deeper form of sleep which older people often complain they lack) by causing a rise in body temperature (Horne 1981). It is hypothesised that heating could achieve similar results with chronically ill, disabled or unfit people and this would be of benefit to older people, particularly those for whom exercise is difficult or impossible (Dorsey 1996).
Authors' conclusions
Implications for practice.
There is a lack of evidence from well‐designed trials for the effectiveness of physical exercise for the treatment of sleep problems in "normal" older adults, although the intervention may be worthy of investigation.
Implications for research.
New trials should feature both objective and subjective measures of sleep, as there is a large variation in the interpretation of many sleep variables (McGhie 1962) . Cost‐benefit analysis as regards exercise versus pharmacological treatments would be a particularly useful addition to this area of study. Nothing is currently known about whether or not exercise is likely to have a durable effect but the mechanism by which exercise is thought to operate would suggest that an exercise regime would have to be maintained if any beneficial effects were to be maintained. Future research into these sorts of interventions might consider the use of objective measurement such as actigraphy and polysomnography so that any changes could be corroborated.
What's new
Date | Event | Description |
---|---|---|
18 July 2008 | Amended | Converted to new review format. |
History
Protocol first published: Issue 3, 2001 Review first published: Issue 4, 2002
Date | Event | Description |
---|---|---|
25 November 2002 | New search has been performed | Minor update |
12 August 2002 | New citation required and conclusions have changed | Substantive amendment |
Notes
This review contains a change in title and protocol to the previously published "Physical treatments for sleep problems in adults aged 60+".
Acknowledgements
The authors would like to thank Esther Coren, Annemarie Courtiour, Lindsay Dow, Julian Higgins, Daniel Kripke, Liz Lloyd, Stuart Logan, Geraldine Macdonald, Harriet Montgomery, Gregory Stores, Katrina Williams, Philp Wilkinson and Shawn Youngstedt for their helpful comments and advice on this review. We would also like to thank Toby Lasserson for his help with translations. Thanks also to Abby King for providing clarification and data from her trials.
Appendices
Appendix 1. Cochrane Library search strategy
Cochrane Library searched Issue 1, 2002
1) SLEEP‐DISORDERS*:ME 2) INSOMNIA* 3) WAKEFULNESS
4) SLEEP near DISORDER* 5) SLEEP near PROBLEM* 6) SLEEP near PATTERN* 7) SOMNAMBUL*
8) ((((((#1 or #2) or #3) or #4) or #5) or 6) or 7)
9) GERIATRICS*:ME 10) GERIATRIC* 11) AGED*:ME 12) ELDERLY 13) (OLD* next PERSON*) 14) (SENIOR next CITIZEN*) 15) (OLD* next PEOPLE)
16) (((((( #9 or #10) or #11) or #12) or #13) or #14) or #15)
17) (#8 and #16)
Appendix 2. Methods to be used in updates of the review
Assessment of heterogeneity
Statistical heterogeneity will be assessed using the Chi‐squared test of heterogeneity along with visual inspection of the graph. A significance level of less than 0.10 will be interpreted as evidence of heterogeneity and in this case a random effects model will be used.
Assessment of reporting (publoication) biases
In future, should sufficient numbers of trials be identified to justify addressing this issue, data from all identified and selected trials will be entered into a funnel graph where appropriate (trial effect vs. variance) in an attempt to investigate the likelihood of overt publication bias.
Data synthesis
Incomplete data
With the exception of the outcome of 'loss to follow up', it was decided that if at the end of the trial data on a particular outcome the attrition rate was greater than 30%, these data were not to be used.
Dichotomous (yes/no) data
For binary outcomes a standard estimation of the Relative Risk with the 95% confidence interval (CI) around this was performed.
Continuous (including scale) data
Rating scales: a range of instruments are available to measure sleep quality and the aspects of mental health which are associated with it. For outcome instruments some minimum standards were required: (i) the psychometric properties of the instrument should have been described in a book or peer‐reviewed journal; (ii) the instrument should either be: (a) a self report, or (b) a report completed by an independent rater, bed‐partner or relative/carer (not the therapist); and (iii) the instrument should be either a global assessment of an area of functioning or a specific feature of sleep quality, duration or timing.
Combining mean treatment effects is straightforward when all measurements are comparable and on the same scale. The fixed effect estimate of the overall treatment effect can be computed as the weighted mean of the individual study effects, where the weights are inversely proportional to the individual study specific variance estimates. On other occasions it is necessary to transform the mean effect from each study to a standardised value by dividing by the sample standard deviation within each study.
Normal data: to avoid the pitfall of applying parametric tests to non‐normally distributed data the following standards were applied to all data before inclusion: (i) standard deviations and means had to be reported in the paper or are obtainable from the authors; (ii) when a scale started from a finite number (such as 0), the standard deviation had to be less than the mean ( otherwise the mean was unlikely to be an appropriate measure of the centre of the distribution). Data which did not meet the second standard were not entered on RevMan software (which assumes a normal distribution). Future such data will, however, be reported in the 'Other data types' of the results section where they will be analysed using appropriate non‐parametric tests
General
In all cases the data (should a meta‐analysis become possible) will be entered into RevMan in such a way that the area to the left of the 'line of no effect' indicates a favourable outcome for the relevant behavioural intervention.
Characteristics of studies
Characteristics of included studies [ordered by study ID]
King 1997.
Methods | Randomised controlled trial. Method of randomisation: Ephron system | |
Participants | 48 older people living in the community (mean age of 62). 43 participants completed the study (90%). | |
Interventions | Treatment 1: 16 weeks of moderate‐intensity community‐based exercise training (4x 30‐40 minutes endurance training [low impact aerobics; brisk walking] per week) (n = 24) Treatment 2: No treatment, wait‐list control (n = 24) | |
Outcomes | Daily sleep participant diaries (including onset, latency, duration); Pittsburgh Sleep Quality Index | |
Notes | Assessors were blinded | |
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Allocation concealment? | Low risk | A ‐ Adequate |
Characteristics of excluded studies [ordered by study ID]
Study | Reason for exclusion |
---|---|
Singh 1997a | This RCT exclusively investigates the sleep of elderly subjects who have been diagnosed with depression |
Contributions of authors
Both reviewers contributed to the writing of the text of the protocol, all searches, trial selection, data entry, analysis and the writing of results.
Declarations of interest
None known.
Edited (no change to conclusions)
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