Non-pharmacological interventions for sleep in older adults: an umbrella review and evidence map of randomized controlled trials

Background: Sleep health is a critical determinant of older adults’ physical, cognitive, and emotional well-being, yet pharmacological treatments for sleep disturbances carry substantial risks.

Objective: This umbrella review aims to synthesize evidence on the effectiveness of non-pharmacological interventions (NPIs) for improving sleep in older adults, to inform clinical decision-making and future guidelines.

Methods: This review adhered to PRIOR and PRISMA guidelines and was registered in PROSPERO (CRD42024565849). Systematic searches were conducted across six databases from inception to July 6, 2024. Eligible studies were systematic reviews with meta-analyses of randomized controlled trials (RCTs) targeting adults aged ≥60 years. Two reviewers independently screened studies, extracted data, and assessed methodological quality using AMSTAR 2. Certainty of evidence was rated with GRADE, and review overlap was quantified using the Corrected Covered Area (CCA). Narrative synthesis was conducted due to high heterogeneity.

Results: Nineteen systematic reviews comprising 160 RCTs were included. Interventions covered six categories: cognitive behavioral therapy (CBT), mindfulness, exercise (e.g., Tai Chi), music, manual therapies (e.g., massage, acupuncture), and joint approaches. CBT significantly improved sleep onset latency (−9.29 min), wake after sleep onset (−22 min), and sleep efficiency (+7.9%). Exercise, particularly Tai Chi, reduced PSQI global scores by −1.05. Music and manual therapies also showed benefits, though with inconsistent effect sizes. Most reviews were of low methodological quality, and the certainty of evidence ranged from low to very low. CCA was 3.68%, indicating slight overlap.

Conclusion: CBT and exercise-based interventions are promising for improving sleep in older adults. However, the certainty of evidence remains limited. Future high-quality RCTs are needed, and the evidence map highlights priority areas for research in geriatric sleep health.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024565849.

Introduction

The prevalence of sleep disorders among the elderly is notably high. A recent systematic review (1) indicated that nearly 50% of individuals aged 60 and above worldwide report varying degrees of sleep disturbances. These issues include poor sleep quality (47.12%), short sleep duration (40.81%), long sleep duration (31.61%), and insomnia (21.15%). Such sleep disorders significantly impact the overall health and quality of life of older adults (2, 3). Promoting sleep health in this population is crucial, as sleep disorders are associated with various adverse health outcomes, including cognitive decline, mood disorders, depression, cardiovascular diseases, diabetes, and increased mortality risk (4–7). Addressing sleep problems in the elderly can enhance their physical and mental health, improve daily functioning, and elevate their quality of life.

Several studies have investigated the effects of non-pharmacological interventions on sleep in older adults. For instance, a systematic review and meta-analysis explored the impact of different meditation practices on the sleep quality of the elderly (8). Social activity intervention (9) have also been examined for their potential to enhance sleep quality among older adults. Additionally, research on the effects of mindfulness-based cognitive therapy (10) on sleep disorders in the elderly has shown positive outcomes in improving sleep quality. However, to date, most systematic reviews and meta-analyses (10–13) on sleep health interventions for the elderly have focused on single treatment modalities. Although network meta-analyze (14) has compared various non-pharmacological sleep interventions, the results are limited in clinical application due to the heterogeneity of the included evidence, indirectness of the analyses, and issues of heterogeneity and transferability in specific clinical settings.

An umbrella review can comprehensively integrate evidence from systematic reviews. Currently, there is no comprehensive review and analysis of meta-analyses addressing the effects of all non-pharmacological interventions on sleep in the elderly. Conclusive evidence on which non-pharmacological intervention is most effective in promoting sleep health in older adults remains lacking. This review aims to thoroughly examine existing evidence, evaluate non-pharmacological interventions that promote sleep health in the elderly, and consider the effect size, quality, and certainty of the evidence to provide a basis for future guidelines. Additionally, we will generate an evidence map on the effectiveness of various non-pharmacological interventions in improving sleep among older adults.

Methods

Reporting guidelines

This umbrella review complied with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist (15) and was registered in the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD42024565849).

Search strategy and study selection

PubMed, Embase, the Cochrane Database of Systematic Reviews (Ovid CDSR), PsycINFO, CINAHL, and Scopus were systematically searched from inception to July 6, 2024. Manual searches of the reference lists of all eligible systematic reviews were also conducted. The complete search strategy is provided in the Supplementary materials. The search terms were selected based on the target intervention (i.e., NPIs), population (i.e., older adults), and outcomes (i.e., sleep), using database-specific indexing syntax. Consensus on the final keywords was reached by all authors. Title/abstract and full-text screenings were performed independently by multiple reviewers, with any discrepancies resolved by a third reviewer.

Eligibility criteria

The Inclusion criteria follow the PICOs framework of patients (P), interventions (I), outcomes (O), and study design (S):

1. Population: Older adults aged ≥60 years, with or without sleep disorders;

2. Intervention: Systematic reviews with meta-analyses of RCTs involving at least one non-pharmacological intervention (e.g., exercise therapy, cognitive behavioral therapy, mindfulness, music therapy, acupuncture, light therapy, aromatherapy, meditation, or mind–body therapy);

3. Study design: Systematic reviews including RCTs;

4. Comparison: Control group received a waiting list, usual care(e.g., health education, sleep hygiene advice), placebo, or another non-pharmacological intervention(e.g., sleep duration, sleep quality);

5. Outcomes: Sleep-related outcomes reported as primary or secondary endpoints.

Exclusion criteria included case studies, narrative reviews, systematic reviews without meta-analyses, and reviews using pharmacological comparators. Reviews published in languages other than English were also excluded due to limitations in database access. No restrictions were placed on publication year.

Data extraction

Two reviewers (YP and LW) independently extracted data on: first author, year of publication, country, mean age, gender, intervention type, outcomes, number of RCTs, total participants, between-study heterogeneity, and summary effect estimates. Disagreements were resolved through discussion or consultation with a third reviewer (HF).

Quality assessment of included reviews

The methodological quality of the included reviews was assessed using AMSTAR 2, a validated tool for evaluating systematic reviews of healthcare interventions. The risk of bias (RoB) for individual RCTs was extracted from the most recent and highest-quality review available, based on standard domains such as random sequence generation, allocation concealment, blinding, incomplete outcome data, selective reporting, and other potential biases. If no review rated as moderate or above was available, the RoB was independently evaluated by two reviewers.

Data synthesis and certainty of evidence

The degree of overlap in RCTs across included reviews was assessed using the Corrected Covered Area (CCA) method (14). A CCA of 0% indicates no overlap; values were interpreted as follows: 0–5% (slight), 6–10% (moderate), 11–15% (high), and >15% (very high overlap).

Included reviews were narratively synthesized based on intervention type, key findings, and methodological quality. We did not reanalyze original RCTs; instead, we extracted effect sizes and 95% confidence intervals from the meta-analyses (16). When both fixed-effect and random-effects models were reported, the random-effects results were prioritized. I² and p-values from Egger’s or Begg’s tests were used to assess heterogeneity and publication bias. Due to the high I² (>50%) in most included meta-analyses, pooled analyses were not conducted, and findings were reported narratively.

An evidence map was created to visually present the benefits or harms, evidence certainty, and research gaps for each intervention. Certainty of evidence was assessed using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework and categorized as high, moderate, low, or very low (17). All evaluations were conducted independently by two reviewers (YP and LW), with oversight from a third reviewer (HF).

Results

Search results and characteristics of included studies

A total of 1,700 records were identified through database searches (PubMed: 354; Cochrane Library: 84; Embase: 693; CINAHL: 77; PsycINFO: 62; SCOPUS: 430). After duplicates were removed, 1,084 unique records remained. Following title and abstract screening, 65 records were retained for full-text review (Figure 1). During the full-text screening, 46 records were excluded. References for the excluded studies are provided in Supplementary Table S2. Ultimately, 19 eligible meta-analyses (references in the Supplementary material) were included, encompassing 160 RCTs. Six types of non-pharmacological interventions were reported, including Cognitive Behavior Therapy, Mindfulness Therapy, Exercise Therapy, Music Therapy, Manual Therapies (Acupressure, Acupuncture, Massage Therapy, or Aromatherapy), and Joint Interventions (definitions for each intervention are provided in Supplementary Table S3). The basic characteristics and intervention outcomes of the included studies are presented in Tables 1, 2. The CCA of the included studies was 3.68%, which is less than 5%, indicating slight overlap.

Figure 1

Figure 1. PRISMA diagram of the literature search.

Table 1

Table 1. Characteristics of included reviews.

Table 2

Table 2. Extracted data from reviews studying results of interventions.

Quality assessment

Among the 19 included meta-analyses, 94.7% of the literature search strategies were found to include all four elements of PICO, but only 52.6% had registered a review protocol in advance. It was noted that 89.5% of the studies did not explain the selection criteria for the study designs included in the review, and none reported the sources of funding for the studies included. Only one study failed to report the specific reasons for study exclusion, and all studies employed appropriate methods for the statistical combination of results. Details of other quality assessment items can be found in Supplementary Table S4.

Results of each intervention

Cognitive behavior therapy

A total of five meta-analyses were conducted to study the effects of cognitive behavior therapy (CBT) on sleep in older adults (18–22). However, the sleep indicators used in these meta-analyses varied (sleep onset latency, wake after sleep onset, sleep efficiency, total sleep time, PSQI global score). Three meta-analyses summarized the effect of CBT on sleep onset latency in older adults (18–20). Two of these meta-analyses reported positive results, indicating that CBT improved sleep onset latency by 9.29 and 20.07 min, respectively, with significant differences (19, 20). Similarly, these three meta-analyses also examined the effects of CBT on wake after sleep onset in older adults, finding that CBT interventions reduced wake after sleep onset by about 22 min on average. The effects of CBT on sleep efficiency were discussed in all three meta-analyses, with two showing an average increase in sleep efficiency of about 7.9% (19, 20). Two meta-analyses explored the impact of CBT on total sleep time, finding an average reduction of about 11 min (19, 20). Finally, two meta-analyses summarized the effect of CBT on overall sleep quality (PSQI global score), indicating that CBT improved overall sleep quality with an average effect size of approximately 1.2 (21, 23).

Mindfulness therapy

A total of three meta-analyses studied the effects of mindfulness therapy on sleep in older adults (8, 24, 25). The three meta-analyses used a common outcome indicator—overall sleep quality (PSQI global score). Among them, only two meta-analyses showed that mindfulness therapy could improve overall sleep quality, with effect sizes of 0.343 and 0.92, respectively, showing considerable differences (24, 25). Another meta-analysis showed that mindfulness therapy did not improve overall sleep quality (−0.78, 95% CI: −1.60, 0.05) (8).

Exercise therapy

A total of 10 meta-analyses studied the effects of exercise therapy on sleep in older adults (21–23, 26–32). All 10 studies conducted meta-analyses of the impact of exercise therapy on overall sleep quality (PSQI global score) in older adults. Exercise therapy improved overall sleep quality, with an average effect size of approximately 1.05. Among them, three meta-analyses explored the effect of Tai Chi on overall sleep quality (PSQI global score) in older adults, with an average effect size of about 1.14 (27, 31, 32).

Music therapy

A total of two meta-analyses studied the effects of music therapy on sleep in older adults (11, 21). Both meta-analyses examined the effect of music therapy on overall sleep quality (PSQI global score). Although both showed positive effects, the results varied greatly. One study showed an improvement effect of −1.96 (−3.23, −0.69) (11), while the other showed a result of −0.51 (−0.84, −0.18) (21).

Manual therapy

A total of four meta-analyses studied the effects of manual therapy on sleep in older adults (13, 21, 23, 33). All four meta-analyses examined the effect of manual therapy on overall sleep quality (PSQI global score), with an average effect size of approximately 1.00.

Joint therapy

Only one meta-analysis studied the effect of joint therapy on sleep in older adults. Joint therapy improved overall sleep quality, with an effect size of 1.18 (23).

Evidence map

Figure 2 presents the evidence map summarizing the results of the included interventions. The certainty (or confidence) of the body of evidence on the effectiveness of non-pharmacological interventions for sleep outcomes in older adults is summarized in this paper. The evidence map shows that all non-pharmacological interventions have positive effects on sleep in older adults, but the quality of evidence is classified as low or very low. Specifically, MBT and exercise therapy are graded as low, while the others are classified as very low.

Figure 2

Figure 2. Summary of evidence for the effectiveness of non-pharmacological interventions on sleep outcomes in older adults. CBT, cognitive behavior therapy; PSQI, Pittsburgh Sleep Quality Index.

Discussion

To our knowledge, this is the first umbrella review to comprehensively evaluate the effects of various non-pharmacological interventions on sleep outcomes in older adults. This systematic review analyzed 19 meta-analyses, including a total of 160 RCTs, involving six types of non-pharmacological interventions: CBT, mindfulness therapy, exercise therapy, music therapy, manual therapies, and joint interventions. Manual therapy in this study specifically refers to acupressure, acupuncture, massage therapy and aromatherapy. These findings provide substantial evidence supporting the positive effects of these interventions on various sleep parameters.

Overall, the results of this review indicate consistent evidence that non-pharmacological interventions affect multiple sleep indicators in older adults. Our results show that CBT can significantly reduce sleep onset latency in older adults, by at least 9.29 min; previous study has found (34) that sleep onset latency (>30 min: HR = 1.45, 95% CI: 1.03–2.03) is associated with an increased incidence of dementia in adjusted Cox models. Therefore, the reduction in sleep onset latency by CBT has clinical significance. Similarly, CBT intervention reduced wake after sleep onset by an average of 22 min. Previous research has indicated (35) that increased nighttime awakenings are independently associated with higher mortality risk in older adults. Although our study did not involve the number of awakenings, it nonetheless highlights the importance of wake after sleep onset. In addition, based on our pooled results, CBT increased sleep efficiency by an average of about 7.9%. A prospective cohort study (35) pointed out that low sleep efficiency was nearly significantly associated with mortality in older men, suggesting the importance of sleep efficiency in older adults. Similarly, CBT improved overall sleep quality, with an average effect size of 1.2. A Chinese cohort study (36) also indicated that good/average sleep quality was associated with a 36% lower risk of all-cause mortality in middle-aged and older adults compared to those with a score of 0. From the perspective of improvement in these sleep indicators, CBT carries public health significance.

Among all non-pharmacological interventions, exercise therapy was mentioned most frequently. In this study, all meta-analyses on exercise therapy showed positive effects on sleep improvement, especially Tai Chi, which appeared to be the most effective intervention. Unfortunately, due to many of the included RCTs failing to meet blinding standards, the evidence level was only rated as low. Nevertheless, exercise interventions, as a cost-effective intervention, have significant clinical implications. Exercise therapy not only helps improve sleep quality, but also promotes mental health and reduces the risk of chronic diseases (37, 38). Especially in older populations, exercise therapy can enhance quality of life and independence by increasing physical activity (39). Therefore, future high-quality studies should focus on rigorous trial designs and the application of blinding to improve the reliability and persuasiveness of the evidence. In addition, studies should further explore different types of exercise interventions and their optimal combinations to identify the most suitable strategies for improving sleep in older adults.

Two studies showed that mindfulness therapy significantly improved sleep quality, with effect sizes of 0.343 and 0.92, respectively. However, these effect sizes differ greatly. Another meta-analysis showed that mindfulness therapy did not significantly improve overall sleep quality. This difference in results may stem from various factors. First, the included study samples and quality in different meta-analyses may vary. For example, the study with an effect size of 0.343 included more high-quality RCTs, whereas the study with an effect size of 0.92 included more small-sample studies (three original studies). In addition, the definition and implementation of mindfulness therapy may vary across meta-analyses. Specific intervention methods, duration of therapy, and participant adherence to mindfulness therapy may all affect its effects (40). Furthermore, participant characteristics may also be an important factor. Similar inconsistencies have been found in other studies. Some studies have found (41) that mindfulness therapy significantly improves sleep quality, while others have not reached the same conclusion. To better understand these differences, future research needs to be more systematically and rigorously designed and implemented. At the same time, greater efforts should be made to standardize and refine the specific implementation of mindfulness therapy to ensure the comparability of results. Moreover, researchers should pay more attention to differential responses to mindfulness therapy across populations and explore potential mechanisms and mediating variables.

Music therapy was studied in three meta-analyses, two of which showed positive effects on overall sleep quality. However, the effect sizes differed significantly—one study showed a large improvement (effect size −1.96; 95% CI: −3.23, −0.69), and the other showed a smaller effect (effect size −0.51; 95% CI: −0.84, −0.18). This discrepancy may result from differences in intervention protocols, study populations, and types of music used. In addition, the original studies on music therapy were limited in number, and future large-sample studies are needed to confirm its effects. Manual therapies, including acupressure, acupuncture, massage therapy, and aromatherapy, consistently showed positive effects in four meta-analyses, with an average effect size of 1.00. These results suggest that manual therapy is effective in improving sleep quality among older adults, but due to the lack of blinding in the original studies, the quality of evidence was rated as very low. Further refinement in study design is needed in the future. In addition, one meta-analysis on joint therapy reported a significant effect size of 1.18, indicating that the combination of multiple non-pharmacological interventions has synergistic effects and highlights the potential of integrated approaches in improving sleep.

Overall, the consistent positive results highlight the value of non-pharmacological interventions in sleep management for older adults. It is recommended that these therapies be considered in clinical practice. Future studies should aim to optimize these interventions and validate the findings through high-quality, large-scale trials. This umbrella review focused on RCTs to obtain the highest level of evidence. Although there are other types of non-pharmacological interventions, such as light therapy, they were not included in this analysis because the included studies were not RCTs, which helped ensure the quality of evidence. This review adopted a comprehensive search strategy, with study selection and data extraction conducted in duplicate. The degree of study overlap was only 3.68% (slight overlap). In addition, we could not find any previously published umbrella review on this topic for comparison.

Any umbrella review is subject to the limitations of the included systematic reviews and meta-analyses. Although the systematic reviews included here covered a wide range of clinical populations, these populations were not exhaustive. Using the AMSTAR 2 tool, only a few reviews were rated as high confidence, although this result is consistent with reports in other areas of medicine (42, 43). Very few meta-analyses analyzed the long-term effects of non-pharmacological interventions. More long-term follow-up studies are needed in the future to clarify the lasting effects of non-pharmacological interventions.

Limitations

There are some limitations in the current body of evidence. First, the original studies included in this umbrella review showed significant differences in populations, which may reduce the stability and comparability of effect size estimates. Additionally, only English-language literature was included. Although most randomized controlled trials were conducted in China, the lack of regional diversity may affect the comprehensiveness of the findings. Future research should expand the language scope of the included literature to enhance the representativeness of the results. Second, this review did not include systematic reviews of sleep interventions targeting cognitively impaired populations. While non-pharmacological interventions have been tested to improve sleep in cognitively impaired patients, most lack robust evidence to guide clinical practice. The limited number of such interventions for older adults with cognitive impairment means that the quantity and quality of systematic reviews are insufficient. Furthermore, significant heterogeneity in inclusion criteria, outcome measures, and interventions complicates the integration of these studies with general population research. Further studies are needed to address these gaps. Regarding outcome assessment, most studies relied on subjective scales or sleep diaries, which may not align with objective measurements, such as polysomnography (PSG), potentially reducing accuracy. This review also did not specify the time points for sleep-related outcomes, which could affect the interpretation of the results. Moreover, there is a lack of comparative studies on the effects of different types of exercise therapy. Future research should address this issue. Finally, this study focused on behavioral/psychological and exercise-psychophysiological interventions (e.g., cognitive behavioral therapy, exercise, Tai Chi), excluding neuromodulation techniques that involve devices or procedures. This may have led to the omission of relevant evidence on such techniques. Future research should explore the combined effects of non-pharmacological interventions on sleep and identify the most effective components within multifaceted programs.

Conclusion

Non-pharmacological interventions show positive effects in improving sleep-related indicators in older adults. This umbrella review suggests that CBT, Mindfulness Therapy, and Exercise Therapy are particularly recommended among various non-pharmacological interventions. In particular, Exercise Therapy stands out as especially practical due to its cost-effectiveness and convenience. However, since this study involved various subgroups of older adults, their baseline characteristics, health status and intervention effects may vary. Therefore, caution is needed regarding the generalizability of the study’s conclusions and their applicability in specific contexts. Although the effects of different non-pharmacological interventions on sleep are of clinical importance, it is worth noting that the benefits of these interventions are mostly concentrated in the short term, i.e., they are observed immediately after the intervention. Further research should focus on the long-term effects of these interventions and how to optimize intervention protocols to maintain and enhance their long-term efficacy. Moreover, exploring the combined application of different intervention modalities and developing personalized treatment programs are also important future directions. In summary, although the quality of evidence is relatively low, non-pharmacological interventions have significant clinical application potential in improving sleep among older adults and can provide strong support for related clinical practices and health policy formulation as complementary therapies.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

YY: Methodology, Conceptualization, Writing – original draft, Writing – review & editing. HW: Writing – review & editing, Writing – original draft, Conceptualization, Data curation. WL: Conceptualization, Data curation, Writing – review & editing, Writing – original draft. HG: Writing – original draft, Supervision, Methodology, Writing – review & editing. YC: Writing – review & editing, Data curation, Writing – original draft, Conceptualization, Formal analysis.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The Fundamental Research Funds for the Central Universities (2025-JYB-XJSJJ021).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2025.1655192/full#supplementary-material

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