CC BY-NC-ND 4.0 · Sleep Sci
DOI: 10.1055/s-0045-1806954
Review Article

Effect of Physical Exercise on Sleep Quality and Depressive Symptoms in Adults: A Systematic Review and Meta-Analysis

1   Department of Physical Education, Physical Education School, Universidade Federal de Pernambuco, Recife, PE, Brazil
2   Cardiology Emergency Center of Pernambuco (PROCAPE), Universidade de Pernambuco, Recife, PE, Brazil
,
1   Department of Physical Education, Physical Education School, Universidade Federal de Pernambuco, Recife, PE, Brazil
,
2   Cardiology Emergency Center of Pernambuco (PROCAPE), Universidade de Pernambuco, Recife, PE, Brazil
3   Department of Physical Education, Physical Education Course, Faculdade Pernambucana de Saúde, Recife, PE, Brazil
,
Welyson Lima Santana
2   Cardiology Emergency Center of Pernambuco (PROCAPE), Universidade de Pernambuco, Recife, PE, Brazil
3   Department of Physical Education, Physical Education Course, Faculdade Pernambucana de Saúde, Recife, PE, Brazil
,
2   Cardiology Emergency Center of Pernambuco (PROCAPE), Universidade de Pernambuco, Recife, PE, Brazil
,
1   Department of Physical Education, Physical Education School, Universidade Federal de Pernambuco, Recife, PE, Brazil
2   Cardiology Emergency Center of Pernambuco (PROCAPE), Universidade de Pernambuco, Recife, PE, Brazil
,
4   Department of Physical Education, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil
,
1   Department of Physical Education, Physical Education School, Universidade Federal de Pernambuco, Recife, PE, Brazil
› Author Affiliations
Funding Source The authors declare that they did not receive funding from agencies in the public, private, or non-profit sectors to conduct the present study.
 

Abstract

Improvements in sleep quality and depressive symptoms are considered a cornerstone of adult health. Physical exercise is one of the interventions used to treat people with sleep disorders and improve mental health. However, there is no standardization regarding the physical exercise protocols and their effects on sleep quality and depressive symptoms in adults. The present study aims to verify, through a systematic review and meta-analysis, the effect of physical exercise on sleep quality and symptoms of depression in adults. This study adhered to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement and was registered in the International Prospective Register of Systematic Reviews (PROSPERO). The PubMed, Cochrane Library, and Scopus databases were used to identify relevant original articles and clinical trials. Analysis was performed with Review Manager (RevMan) software (The Cochrane Collaboration, London, United Kingdom), version 5.4. The study included men and women over 18-years-old, with physical exercise as the intervention. The studies included pre- and postevaluation of sleep quality and depressive symptoms. A total of 931 articles were found, of which 15 met the eligibility criteria, encompassing 940 participants. Physical exercise significantly improved sleep quality (mean difference: -1.19; 95% confidence interval [95%CI]: −1.66 to −0.73) and depressive symptoms (mean difference: −3.51; 95%CI: −4.66 to −2.36). Aerobic exercise was the most common and effective for both outcomes. Thus, physical exercise was effective in improving sleep quality and depressive symptoms in adults. Additional studies, however, should be performed to confirm these findings.


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Introduction

Depressive symptoms are widely recognized as one of the most pressing mental health problems. The global number of incident cases has increased by almost 50% over the past 30 years, with more than 264 million people of all ages afflicted.[1] It is estimated that in Brazil, depression affects approximately 10% of the population, with a higher prevalence among elderly males.[2] It is widely recognized that depression impacts both the quality of life and daily activities.[3] [4] Furthermore, a previous meta-analysis demonstrated that adults and the elderly with depression are more likely to experience poor sleep quality,[5] further exacerbating the health condition of these individuals.

Indeed, according to the American Academy of Sleep Medicine, poor sleep quality is associated with an increased risk of mental health issues such as depression, anxiety, and posttraumatic stress disorder (PTSD).[6] [7] For example, previous literature has found that neurotransmitter imbalances such as serotonin downregulation,[8] overactivity of hypothalamic-pituitary-adrenal (HPA) axis during sleep time that results in increased levels of stress hormones such as cortisol,[9] and high levels of cytokines (chronic inflammation)[10] closely link sleep quality and symptoms of depression.

The literature has demonstrated the potential role of physical exercise in improving both sleep quality and depressive symptoms in some clinical contexts. For example, it was observed that higher physical activity was associated with fewer sleep problems and less emotional dysregulation in patients with major depressive disorder,[11] PTSD, [12] and coronavirus disease 2019 (COVID-19).[13] It is suggested that an increase in slow-wave sleep duration[11] and in sleep efficiency,[14] as well as the potential anxiolytic and antidepressant effects of exercise[15] may be responsible for these improvements. Additionally, in the perspective of biological mechanisms, physical exercise can reduce the reactivity of the HPA axis[16] and the levels of pro-inflammatory cytokines, such as interleukin 6 (IL-6) and tumor necrosis factor alpha (TNF-α),[17] as well as increase the production of brain-derived neurotrophic factor (BDNF),[18] all of which contribute to better sleep and reduced depressive symptoms.

However, although these results are promising and provide indications of the effectiveness of physical exercise in improving sleep quality and depressive symptoms in adults, there is no standardization in the application of previously published protocols, given that there are a large number of variables to be modulated for successful intervention. For example, previous studies found improvements in sleep quality with a 6-month yoga exercise program,[19] with 12 weeks of resistance exercise,[20] [21] and with a 12-week program of pilates. Moreover, in men, greater exercise frequency was associated with less daytime disfunction and less depressive symptoms, whereas in women greater frequency was associated with improved sleep quality, less depression and anger symptoms.[22] Thus, the heterogeneity concerning the different types of exercise prevents conclusions regarding the effects of physical exercise on sleep for people with depressive symptoms.

In this sense, this systematic review will provide a global view of the studies that analyzed the effects of physical exercise on sleep quality and depressive symptoms in adults, regarding the protocols used. It will also allow for the analysis of the methodological quality of the studies, enabling a more careful review of the literature. Together, these results could help health professionals develop effective interventions to improve sleep quality and reduce depressive symptoms in this population. Thus, the aim of this study is to verify, through a systematic review and meta-analysis, the impact of physical exercise on sleep quality and depressive symptoms in adults.


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Materials and Methods

This present study constitutes a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)[23] guidelines, and it has been accordingly registered in the International Prospective Register of Systematic Reviews (PROSPERO) under number CRD42023460040.

Search Strategy

The search was conducted in the PubMed, Cochrane Library, and Scopus databases using the following descriptors for physical exercise: exercise, physical exercise, resistance training, strength training, and exercise therapy. For sleep quality, we used the descriptors Insomnia, Sleep Initiation and Maintenance and Disorders, Sleep Apnea Syndromes, Sleep Quality, Sleep Disturbance, and Sleep; and, for depression, depression and major depression. The target population was defined using the descriptors Adults, Middle Age, Aging, Elderly, and Aged. Moreover, the Boolean operators AND and OR were employed to combine the search terms. The search strategy is described on [supplementary file 1].


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Eligibility Criteria

We included original articles and controlled clinical trials published until June 2023 involving men and women aged 18 years or older that assessed depressive symptoms and sleep quality outcomes. These articles should provide data on the impact of physical exercise on sleep quality and depressive symptoms.

To be considered for inclusion, physical exercise should be the primary intervention of the studies. The exercise protocol should have a duration of at least 2 weeks. Additionally, the studies were required to include a pre- and postintervention assessment of sleep quality and depressive symptoms.

Exclusion criteria were also established, encompassing review articles and studies combining physical exercise with other interventions, such as medication or dietary changes.

Sleep quality could be evaluated using actigraphy, the Pittsburgh Sleep Quality Index (PSQI), full polysomnography (PSG), or the Oviedo Sleep Questionnaire. To assess depressive symptoms, the following instruments could be employed: the Center for Epidemiological Studies Depression Scale (CES-D), the Hospital Anxiety and Depression Scale-Depression subscale (HADS-D), the Beck Depression Inventory (BDI), the Taiwan Depression Questionnaire (TDQ), the Geriatric Depression Scale (GDS), the Self-Rating Depression Scale (SDS), or the Hamilton Depression Rating Scale (HDRS17).

The patient, intervention, comparison, outcome (PICO) question for the present study is: “Does physical exercise improve sleep quality and depressive symptoms in adults?”


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Review and Data Extraction Procedures

The study's primary outcomes were sleep quality, while depressive symptoms were considered secondary outcomes. Differences in post- to preintervention sleep quality and depressive symptoms were extracted from each study. The data review and collection process were conducted systematically to ensure accuracy and consistency, being performed by two independent reviewers.

The first stage involved database searches. The second stage entailed the screening of article titles and abstracts. Subsequently, the selected articles were read in full. During this phase, the following data were extracted from each publication: sample characteristics, exercise protocol, sleep evaluation protocol, findings related to sleep quality, as well as depression symptom assessment protocol and findings.

The results of each stage were compared, and, in the event of discrepancies, a third researcher was consulted for final analysis. The data were expressed as the mean difference and standard deviation (SD). The main author was contacted in absence of data. When the mean difference was not provided, subtraction between the post- and prevalues was performed, and SD was imputed using the following formula:

Zoom Image

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Risk of Bias Assessment

The risk of bias for each clinical trial was rated in seven domains according to the Cochrane collaboration's tool.[24] Studies with higher scores were indicative of high quality and, consequently, a low risk of bias. The Review Manager (RevMan) software (The Cochrane Collaboration, London, United Kingdom), version 5.4, was used to classify whether domains exhibited high or low risk of bias, and if domains were not clear it was classified as unclear.


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Analysis of Study Quality

In addition to these aspects, a study quality assessment was also conducted using the Tool for the Assessment of Study Quality and Reporting in Exercise (TESTEX).[25] This scale assesses the methodological quality of the study based on 12 items: 1) specified eligibility criteria; 2) specified randomization; 3) allocation concealment; 4) similar baseline characteristics between groups; 5) assessor blinding for at least one key outcome: 6) outcome measured in 85% of the participants; 7) intention-to-treat analysis; 8) reported statistical group comparisons; 9) point estimates and variability measures for all reported outcome measures; 10) activity monitoring in control groups; 11) relative intensity remaining constant; and 12) exercise volume and energy expenditure. The scores of each item go up to 1 point, except for items 6 and 8, whose scores go up to 3 and 2 points, respectively. Therefore, the total score ranges from 0 to 15.


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Data Analysis and Synthesis of Results

The primary outcomes are expressed as mean ± SD values. The quantitative synthesis was performed by comparing the unstandardized mean difference (USMD) of sleep quality and depressive symptoms between pre- and postintervention for both the exercise and control groups and graphically represented using forest plots. Heterogeneity among studies was evaluated using the I2 index. A random effects model was used due to heterogeneity in variables among the studies. As aforementioned, the analyses were performed using the RevMan software, version 5.4. Values of p < 0.05 were considered statistically significant.


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Results

[Figure 1] presents the flowchart of the included studies. Initially, a total of 931 articles were identified, comprising 286 articles from PubMed, 629 articles from the Cochrane Library, and 16 articles from Scopus. Among these, 121 articles were excluded for not meeting the inclusion criteria of being a randomized clinical trial, and another 810 articles due to their lack of relevance to the subject. Following a thorough review, three more articles were excluded: two for their failure to provide post-sleep quality data, and one for using sleep-inducing medications. Thus, 15 articles met the eligibility criteria and were included in the study. For quantitative analysis, 14 studies were chosen for their examination of overall sleep quality.

Zoom Image
Fig. 1. Flowchart of study selection.

The characteristics of the study population are presented in [Table 1]. The publication years ranged from 2009 to 2022, encompassing adults of both genders, including elderly individuals,[19] [26] [27] elderly individuals with insomnia,[28] [29] elderly individuals with limited mobility,[30] adults with depression,[31] adults with PTSD,[20] [21] individuals with primary insomnia,[32] menopausal women,[33] postmenopausal women,[34] individuals with chronic fatigue syndrome,[35] adults and elderly individuals with mild cognitive impairment,[36] or methamphetamine-dependent individuals,[37] totaling 940 participants.

Table 1

Characteristics of the included studies.

Author, year

Project

Participants

Population

Sample size

Mean age (years)

Evaluation tools

Chen et al.,[19] 2009

RCT

Elderly

128 (IG: 62; CG: 66)

IG: 65.77 ± 4.32

CG: 72.42 ± 6.04

Sleep: PSQI

Depression: TDQ

Reid et al.,[28] 2010

RCT

Insomnia

17 (IG: 10; CG: 7)

IG: 62 ± 4.5

GC: 63.5 ± 4.3

Sleep: PSQI

Depression: CES-D

Chen et al.,[30] 2015

RCT

Elderly

114 (IG: 59; CG: 55)

79.15 ± 7.03

Sleep: PSQI

Depression: TDQ

Choi et al.,[26] 2017

RCT

Elderly

63 (IG: 33; CG: 30)

IG: 76.6 ± 5.69

CG: 78.8 ± 5.83

Sleep: PSQI

Depression: GDS

Cheung and Lee,[31] 2018

RCT

Depression

34 (IG: 17; CG: 17)

IG: 47.4 ± 11.2

CG: 48.1 ± 10.8

Sleep: PSQI

Depression: HADS

Laredo et al.,[27] 2018

RCT

Elderly

38 (IG: 20; CG: 18)

IG: 75.44 ± 5.31

CG: 76.35 ± 6.45

Sleep: OSQ

Depression: GDS

Aibar et al.,[34] 2019

RCT

Postmenopausal women

110 (IG: 55; CG: 55)

IG: 69.98 ± 7.83

CG: 66.79 ± 10.14

Sleep: PSQI

Depression: HADS

Whitworth et al.,[20] 2019a

RCT

Adults with PTSD

30 (IG: 15; CG: 15)

IG: 27.67 ± 5.95

CG: 30.53 ± 8.66

Sleep: PSQI

Depression: CES-D

Whitworth et al.,[21] 2019b

RCT

Adults with PTSD

22 (IG: 11; CG: 11)

IG: 33.8 ± 11.1

CG: 32.1 ± 15.6

Sleep: PSQI

Depression: CES-D

El-Kader et al.,[32] 2020

RCT

Primary insomnia

80 (IG: 40; CG: 40)

IG: 51.27 ± 5.32

CG: 52.64 ± 4.81

Sleep: PSG

Depression: BDI

Lu et al.,[33] 2020

RCT

Menopausal women

106 (IG: 52; CG: 54)

IG: 50.56 ± 3.27

CG: 50.74 ± 2.95

Sleep: PSQI

Depression: SDS

Chin et al.,[29] 2022

ERC

Insomnia

27 (MIG: 9; VIG: 9;

CG: 9)

MIG: 63.7 ± 4.7

VIG: 61.7 ± 2.7

CG: 63.8 ± 6.0

Sleep: PSQI

Depression: HADS

Xie et al.,[57] 2022

RCT

CFS

89 (IG: 45; CG: 44)

IG: 37.943 ± 11.344

CG: 37.343 ± 9.864

Sleep: PSQI

Depression: HADS

Xu et al.,[37] 2022

RCT

Methamphetamine-dependent individuals

60 (IG: 30; CG: 30)

IG: 31.30 ± 3.86

CG: 29.50 ± 4.59

Sleep: PSQI

Depression: SDS

Yu et al.,[36] 2022

RCT

Adults and elderly with cognitive impairment

22 (MIG: 7; VIG: 8;

CG: 7)

MIG: 60.6 ± 3.1

VIG: 59.6 ± 4.6

CG: 60.5 ± 7.3

Sleep: PSQI

Depression: HADS

Abbreviations: BDI, Beck Depression Inventory; CES-D, Center for Epidemiologic Studies Depression Scale; CFS, chronic fatigue syndrome; CG, control group; GDS, Geriatric Depression Scale; HADS, Hospital Anxiety and Depression Scale; IG, intervention group; MIG, moderate intensity intervention group; OSQ, Oviedo Sleep Questionnaire; PSG, polysomnography; PSQI, Pittsburgh Sleep Quality Index; PTSD, posttraumatic stress disorder; RCT, randomized controlled trial; SDS, Self-Rating Depression Scale; TDQ, Taiwan Depression Questionnaire; VIG, vigorous intensity intervention group.


The sleep quality was assessed using the PSQI,[19] [20] [21] [26] [28] [29] [30] [31] [33] [34] [35] [36] [37] full PSG,[32] or the Oviedo Sleep Questionnaire.[27]

Depressive symptoms were assessed using the CES-D,[20] [21] [28] the HADS-D,[29] [31] [34] [35] [36] the BDI,[29] the TDQ,[19] [30] the GDS,[26] [27] or the SDS.[33] [37]

[Table 2] presents the characteristics of exercise protocols employed in the studies. Among the interventions utilized, aerobic exercise emerged as the most prevalent included in 6 out of the 15 selected studies.[28] [29] [31] [32] [36] [37] Resistance training,[20] [21] functional training,[27] exercises with elastic bands,[30] seated adapted yoga,[26] yoga,[19] [33] Qigong,[35] and Pilates[34] were also included in the physical exercise regimes.

Table 2

Characteristics of exercise protocols in the included studies.

Author, year

Intervention

Exercise protocols

Frequency

Intensity

Duration

Dropouts

Control

Chen et al.,[19] 2009

Yoga

3 times/week

NR

6 months

9

No wxercises

Reid et al.,[28] 2010

Aerobic:

Week 1–6: 10–40 minutes

Week 7–16: 20 or 40 minutes

Week 1–6: 4 times/week

Week 7–16: 2–1 time/week

55–75% of HRmax

4 months

5

Sleep hygiene

Chen et al.,[30] 2015

Resistance band: 40 minutes

3 times/week

NR

6 months

12

No exercises

Choi et al.,[26] 2017

Yoga: 30–40 minutes

4 times/week

8–14 of RPE scale

12 weeks

9

No exercise

Cheung and Lee,[31] 2018

Supervised aerobic: 60 minutes

Aerobic Unsupervised aerobic: 30 minutes

1 time/week

2 times/week

60% of HRmax

12 weeks

2

No exercise

Laredo et al.,[27] 2018

Functional training: 60 minutes

3 times/week

Self-determined

10 weeks

4

No exercises

Aibar et al.,[34] 2019

Pilates: 60 minutes

2 times/week

NR

12 weeks

3

Exercises guidance

Whitworth et al.,[20] 2019a

Resistance training:

30 minutes

3 times/week

8RM

3 weeks

3

Attention session

Whitworth et al.,[21] 2019b

Resistance training:

30 minutes

3 times/week

8RM

3 weeks

5

Attention session

El-Kader et al.,[32] 2020

Aerobic: 45 minutes

3 times/week

60–70% of HRmax

6 months

22

No exercise

Lu et al.,[33] 2020

Yoga: 60 minutes

3 times/week

NR

24 weeks

0

Household tasks

Chin et al.,[29] 2022

Moderate walk: 50 minutes

Vigorous walk: 25 minutes

3 times/week

MIG: 3.25 METs

VIG: 6.5 METs

3 months

29

Stretching

Xie et al.,[57] 2022

Qigong: 60 minutes

Remote: 30 minutes

1 time/week

6 times/week

NR

12 weeks

0

CBT

Xu et al.,[37] 2022

Aerobic: 60 minutes

5 times/week

70–75% of HRmax

3 months

0

Rehabilitation

Yu et al.,[36] 2022

Aerobic:

MIG: 50 minutes

VIG: 25 minutes

3 times/week

MIG: 3.5 METs

VIG: 7 METs

12 weeks

5

Lifestyle guidance

Abbreviations: CBT, cognitive-behavior therapy; HRmax, maximum heart rate; MIG, moderate intensity intervention group; NR, Not Report; PRT, progressive resistance training; RM, repetition maximum; RPE, rated of perceived exertion; VIG, vigorous intensity intervention group.


[Table 3] presents the sleep quality and depressive symptoms results from the 15 included studies. Out of the 15 studies included, 12 observed an improvement in sleep quality.[19] [20] [21] [28] [29] [31] [32] [33] [34] [37] [38] [39] This improvement was substantiated by a reduction ranging from 0.53 to 4.2 in the PSQI score. Studies reporting statistically significant changes had exercise programs with a duration ranging from 3 to 26 weeks and a minimum frequency of twice per week.[19] [20] [21] [26] [28] [29] [31] [32] [33] [34] [37] [39] Furthermore, the study that employed full PSG demonstrated an approximately 11% improvement in sleep efficiency and an approximate reduction of 15 minutes in wake after sleep onset.[32] Moreover, the metanalysis found that physical exercise improved sleep quality (USMD: −1.19; 95% confidence interval [95%CI]: −1.66 to −0.73; I2 = 42%), as shown in [Fig. 2].

Table 3

Summary of sleep quality and depression pre- and postintervention.

Authors/year

Sleep quality

Depressive symptoms

Pre

Post

Pre

Post

Chen et al.,[19] 2009

IG: 1.18 ± 3.16

CG: 1.05 ± 0.75

IG: 0.65 ± 0.68

CG: 1.23 ± 0.76

IG: 6.58 ± 7.57

CG: 5.02 ± 5.52

IG: 3.27 ± 6.78

CG: 7.85 ± 8.31

Reid et al.,[28] 2010

IG: 1.90 ± 0.57

CG: 1.71 ± 0.49

IG: 0.08 ± 0.63

CG: 1.14 ± 0.69

IG: 9.36 ± 8.63

GC: 8.84 ± 6.31

IG: 2.52 ± 2.15

CG: 9.47 ± 8.2

Chen et al.,[30] 2015

IG: 8.14 ± 3.84

CG: 6.47 ± 4.71

IG: 7.68 ± 4.24

CG: 7.64 ± 4.91

IG: 7.63 ± 8.4

CG: 7.95 ± 9.07

IG: 5.44 ± 7.8

CG: 11.53 ± 9.85

Choi et al.,[26] 2017

IG: 6.12 ± 2.72

CG: 5.83 ± 2.64

IG: 4.97 ± 2.27

CG: 5.97 ± 2.71

IG: 5.88 ± 2.97

CG: 4.57 ± 3.33

IG: 3.82 ± 2.82

CG: 4.63 ± 3.14

Cheung and Lee,[31] 2018

IG: 12.0 (5.5–15.0)

CG: 13.0 (9.5–16.0)

IG: 9.0 (6.0–13.0)

CG: 13.0 (8.5–16.5)

IG: 9.1 ± 3.6

CG: 11.1 ± 3.0

IG: 7.3 ± 3.5

CG: 10.1 ± 4.7

Laredo et al.,[27] 2018

IG: 29.30 ± 16.37

CG: 36.11 ± 6.37

IG: 22.25 ± 13.86

CG: 38.78 ± 7.35

IG: 4.83 ± 2.72

CG: 4.28 ± 2.76

IG: 1.92 ± 1.24

CG: 6.11 ± 4.42

Aibar et al.,[34] 2019

IG: 8.56 ± 4.98

CG: 7.10 ± 4.42

IG: 7.16 ± 4.9

CG: 8.38 ± 4.28

IG: 5.33 ± 3.85

CG: 5.25 ± 3.54

IG: 3.98 ± 2.93

CG: 6.81 ± 3.6

Whitworth et al.,[20] 2019a

IG: 10.42 ± 3.32

CG: 10.83 ± 5.08

IG: 7 ± 3.16

CG: 10 ± 5.34

IG: 14 ± 7.03

CG: 13.42 ± 6.1

IG: 11.63 ± 7.15

CG: 13.83 ± 5.08

Whitworth et al.,[21] 2019b

IG: 11.3 ± 4.9

CG: 7.8 ± 2.5

IG: 7.1 ± 4.1

CG: 8.4 ± 2.9

IG: 15.1 ± 6.8

CG: 13.2 ± 3.9

IG: 11.0 ± 7.0

CG: 13.6 ± 8.0

El-Kader et al.,[33] 2020

IG: 69.53 ± 7.14

CG: 70.14 ± 6.93

IG: 80.61 ± 9.38

CG: 68.75 ± 7.13

IG: 7.68 ± 1.54

CG: 7.35 ± 1.82

IG: 5.17 ± 1.22

CG: 8.22 ± 1.93

Lu et al.,[32] 2020

IG: 7.63 ± 1.52

CG: 7.52 ± 1.41

IG: 6.01 ± 1.44

CG: 7.47 ± 1.37

IG: 36.62 ± 2.37

CG: 37.04 ± 2.44

IG: 30.22 ± 2.11

CG: 36.33 ± 2.54

Chin et al.,[29] 2022

MIG: 9.9 ± 3.10

VIG: 11.8 ± 1.9

CG: 11.12 ± 3.3

MIG: 6.6 ± 2.69

VIG: 7.3 ± 3.53

CG: 10 ± 4.46

MIG: 9.63 ± 1.85

VIG: 10.3 ± 2.36

CG: 11.17 ± 3.07

MIG: 3.0 ± 3.27

VIG: 3.31 ± 1.97

CG: 7.42 ± 5.32

Xie et al.,[57] 2022

IG: 6.756 ± 3.523

CG: 7.705 ± 2.953

IG: 4.2 ± 2.085

CG: 5.295 ± 2.378

IG: 6.844 ± 4.033

CG: 6.705 ± 3.927

IG: 3.444 ± 2.563

CG: 4.705 ± 3.069

Xu et al.,[37] 2022

IG: 6.83 ± 2.36

CG: 6.27 ± 2.08

IG: 4.57 ± 1.38

CG: 6.83 ± 1.53

IG: 53.20 ± 5.12

CG: 54.80 ± 8.95

IG: 39.37 ± 6.09

CG: 54.07 ± 6.12

Yu et al.,[36] 2022

MIG: 9.7 ± 4.3

VIG: 13.1 ± 3.5

CG: 11 ± 3.5

MIG: 7.7 ± 3.4

MIG: 9.3 ± 3.9

CG: 11.6 ± 4.2

MIG: 10.9 ± 1.9

VIG: 7.5 ± 4.7

CG: 6.9 ± 3.5

MIG: 8.9 ± 2.3

VIG: 5.6 ± 4.2

CG: 6.4 ± 6.2

Abbreviations: CG, control group; IG, intervention group; MI, moderate intensity; VIG, vigorous intensity intervention group.


Zoom Image
Fig. 2. Forest plot for the exercise effect on sleep quality. The square represents the meaning difference between exercise and control groups. The line represents the 95% confidence interval (95%CI). The diamond reflects the pooled effects of exercise. Abbreviation: IV, inverse variance and random effects.

Out of the 15 included studies, 12 observed a significant improvement in depressive symptoms.[19] [26] [27] [28] [29] [30] [32] [33] [34] [36] [37] [39] In addition, the metanalysis found a significant reduction in depressive symptoms following physical exercise (USMD: −3.51; 95%CI: −4.66 to −2.36; I2 = 57%), as shown in [Fig. 3].

Zoom Image
Fig. 3. Forest plot for the exercise effect on depressive symptoms. The square represents the meaning difference between exercise and control groups. The line represents the 95% confidence interval (95%CI). The diamond reflects the pooled effects of exercise. Abbreviation: IV, inverse variance and random effects.

[Table 4] presents the studies quality assessment. According to the TESTEX scale (0–15 points), 7 out of the 15 included studies did not score above 10 points. The weakest aspects in these studies were: intention-to-treat analysis (27%), control group monitoring (20%), and relative intensity (13%).

Table 4

Assessment of Sleep Quality according to the TESTEX Scale.

Author, year

Eligibility

Randomization

Allocation

Similar groups

Blinding of assessors

Results assessed in 85% of the participants

Intention-to-treat

Between-groups comparison

Point measures

Control group monitoring

Relative intensity

Exercise volume and energy

Total score

Chen et al.,[19] 2009

1

1

1

1

0

3

1

2

1

0

0

0

10

Reid et al.,[28] 2010

1

0

0

1

0

0

0

2

1

0

0

1

6

Chen et al.,[30] 2015

1

1

1

0

0

3

0

2

1

0

0

1

10

Choi et al.,[26] 2017

1

1

0

1

0

2

0

2

1

0

0

1

9

Cheung and Lee,[31] 2018

1

1

0

1

1

2

1

2

1

0

0

1

11

Laredo et al.,[27] 2018

1

0

0

1

0

2

0

1

1

0

0

1

8

Aibar et al.,[34] 2019

1

0

0

1

1

2

0

2

1

0

0

1

9

Whitworth et al.,[20] 2019a

1

1

0

1

0

3

0

2

1

0

1

1

11

Whitworth et al,.[21] 2019b

1

1

1

1

0

3

0

2

1

1

1

1

13

El-Kader et al.,[32] 2020

1

0

0

1

0

2

0

2

1

0

0

1

8

Lu et al.,[33] 2020

1

0

0

1

0

1

0

2

1

0

0

1

7

Xie et al.,[57] 2021

1

1

1

1

0

1

1

2

1

0

0

1

10

Yu et al.,[36] 2022

1

1

1

1

1

2

0

2

1

0

0

1

11

Xu et al.,[37] 2022

1

1

1

1

1

1

0

1

1

0

0

1

9

Chin et al.,[29] 2022

1

1

1

1

1

3

0

2

1

1

0

1

13

Abbreviation: Testex, Tool for the Assessment of Study Quality and Reporting in Exercise.



#

Discussion

The main findings of the present study demonstrate that physical exercise can improve both sleep quality and depressive symptoms in adults and the elderly. These findings suggest the therapeutic potential of physical exercise as an alternative approach in the treatment of these conditions, with low cost and without the need for medication.[40] Among the interventions used, aerobic exercise was the most common and effective for both outcomes. It was observed that a 10 to 60-minute walk, 3 to 5 times a week with moderate to vigorous intensity, lasting between 6 and 26 weeks, significantly improved sleep quality[28] [29] [31] [32] [37] and attenuated depressive symptoms.[28] [29] [32] [37]

The duration of the training programs in our study programs ranged from 3 weeks[20] [21] to 6 months.[19] [30] [32] [33] Despite this, the heterogeneity was considered moderate, and the quality of the studies ranged from moderate to high. The source of heterogeneity came primarily from the different tools of assessing depressive symptoms and sleep quality.

For example, the depressive symptoms were assessed by TDQ,[19] [30] CES-D,[20] [21] [28] GDS,[26] [27] HADS,[29] [31] [34] [35] [36] BDI,[29] and SDS.[33] [37] Although these questionnaires differ in classification and normative table, they share the characteristic of higher scores indicating a greater tendency for individuals to exhibit depression.

In addition, regarding the evaluation of sleep quality, different methods were adopted with studies evaluating sleep quality through PSQI or Oviedo Sleep Questionnaire, or PSG. Thus, considering that questionnaires express a self-perception of the sleep quality, and the PSG's objective assessment (sleep efficiency, wake after sleep onset etc.), the results should be interpreted with caution. Despite that, the questionnaires follow a similar scoring logic: the lower the score obtained, the better the individual's classification regarding sleep quality.

Finally, the variability in interventions (that is, duration, intensity, and type of exercise) must be considered. Thus, future studies should standardize the exercise protocols to verify its effects sleep and depressive symptoms.

Regarding resistance exercise, positive outcomes were observed in the improvement of sleep quality, as well as in the reduction of depressive symptoms. Nevertheless, a prior study[20] failed to detect a significant effect of resistance exercise intervention on depression indices. Conversely, it is noteworthy to mention that other studies[41] [42] suggest that moderate to high-intensity resistance exercise is effective for treating depressive symptoms among the elderly.[42] Thus, although we cannot state, it is reasonable to speculate that higher intensities of strength exercises demonstrate a favorable effect in reducing depressive symptom in adults and the elderly.[29] [41]

The frequency and intensity of exercise are directly associated with improvements in sleep-related aspects and mental health.[29] [41] [42] Aligned with our findings, previous studies have indicated that programs of physical exercise performed 3 times a week or more,[19] [30] with moderate to vigorous intensity,[32] had a positive impact on depressive symptoms. Conversely, interventions with a frequency of less than 3 days per week tend to yield effects of lesser magnitude.[29] [37] [42]

Regarding the underlying mechanisms, exercise intensity appears to modulate the inflammatory factors with higher intensities increasing IL-6[43] and BDNF levels.[44] Additionally, when comparing the effects of a single session per week with several sessions, a decrease in TNF-α levels was found with no changes in IL-6 and BNDF, suggesting that more research is needed to fully understand the impact of the different exercise frequencies. Regarding the exercise intensity and frequency and factors such as medications and comorbidities, the present study agrees with previous literature,[45] suggesting that supervised and group exercise with moderate intensity of at least 3 times per week, may offer a treatment option for individuals who refuse or cannot tolerate medication, and may develop associated comorbidities as consequence.

Physical exercise has been found to be effective in reducing issues such as insomnia, and enhancing sleep quality, efficiency, latency, and duration. Furthermore, this nonpharmacological approach has been shown to improve sleep architecture,[46] particularly in terms of increasing deep phase sleep time (N2 and N3) in the non-rapid eye movement (NREM) phase.[47] Most human sleep occurs in the N2 phase, which is associated with bodily maintenance,[48] while N3, also referred to as deep sleep, demonstrates the highest potential for arousal and intense brain synchronization, encompassing the processing of information from the previous day's experiences.[49]

Additionally, along with the enhancement of physical exercise on sleep quality, our study also revealed an improvement in depression scores attributable to exercise, which was observed in 75% of the selected studies. In a clinical point of view, it is important to mention that this disease imposes a significant economic burden on the global healthcare system, with an estimated cost of 1.15 trillion dollars, which could triple by 2030.[50]

The literature shows that the mechanisms behind the improvement of symptoms with the antidepressant effect of structured and planned physical activity may be attributed to the regulation of physiological factors. This includes the reduction of inflammatory compounds found in depression pathology, and the promotion of brain neuroplasticity.[51] Although there is no certainty, we can speculate on some underlying mechanisms that support the premise that physical exercise exerts an antidepressant effect. For example, exercises increase the availability of tryptophan, an amido acid that is precursor to serotonin, leading to higher serotonin production in the brain;[52] [53] it also stimulates the release of dopamine by increasing the activity of the brain's reward system[54] [55] and increases the peripheral levels of BDNF.[56]

Additionally, physical exercise also has an important relation with the endocrine system, involving the release of hormones such as testosterone, endorphins, growth hormone (GH), and insulin.[57] For example, resistance training stimulates the hypothalamic-pituitary-gonadal (HPG) axis, leading to increased secretion of luteinizing hormone (LH) and stimulating the production of testosterone,[58] and the release of GH from the pituitary gland. On the other hand, aerobic exercise triggers the release of endorphins from the pituitary gland and the hypothalamus, binding to opioid receptors in the brain and inducing feelings of euphoria.[59] Thus, regarding the sleep, improved levels of testosterone, endorphin, and GH are crucial to a restorative sleep, particularly during the slow wave sleep. Furthermore, regarding the depressive symptoms, higher levels of endorphins and testosterone are linked to improved mood and reduced symptoms of depression.[59]

The present study has some limitations. The conclusions should be interpreted with caution, given that the results presented substantial heterogeneity, as these were small sample studies that showed methodological differences in assessing sleep quality and depressive symptoms. Moreover, the search terms used may not have been targeted enough to identify studies specifically examining sleep in people with depressive symptoms. This limitation should be considered in future revisions. However, our meta-analysis had some strengths. First, regardless of duration and exercise mode, significant effects were found for all variables. Second, only interventions with exercise were included in the treatment condition.


#

Conclusion

In conclusion, physical exercise is effective in demonstrating significant improvements in sleep quality and depressive symptoms for adults and the elderly. Intervention protocols last 12 weeks, with a minimum frequency of 3 times a week, and moderate to vigorous intensity exercise training programs, are suggested to be the most impactful.


#
#

Conflict of Interests

The authors report no conflict of interest.

Supplementary Material

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Address for correspondence

Ozeas de Lima Lins Filho, PhD

Publication History

Received: 19 September 2024

Accepted: 17 February 2025

Article published online:
07 April 2025

© 2025. Brazilian Sleep Academy. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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  • References

  • 1 Liu Q, He H, Yang J, Feng X, Zhao F, Lyu J. Changes in the global burden of depression from 1990 to 2017: Findings from the Global Burden of Disease study. J Psychiatr Res 2020; 126: 134-140
  • 2 Faisal-Cury A, Ziebold C, Rodrigues DMO, Matijasevich A. Depression underdiagnosis: Prevalence and associated factors. A population-based study. J Psychiatr Res 2022; 151: 157-165
  • 3 Malhi GS, Mann JJ. Depression. Lancet 2018; 392 (10161): 2299-2312
  • 4 Tsaras K, Tsiantoula M, Papagiannis D, Papathanasiou IV, Chatzi M, Kelesi M. et al. The effect of depressive and insomnia symptoms in quality of life among community-dwelling older adults. Int J Environ Res Public Health 2022; 19 (20) 13704
  • 5 Becker NB, Jesus SN, João KADR, Viseu JN, Martins RIS. Depression and sleep quality in older adults: a meta-analysis. Psychol Health Med 2017; 22 (08) 889-895
  • 6 Ramar K, Malhotra RK, Carden KA, Martin JL, Abbasi-Feinberg F, Aurora RN. et al. Sleep is essential to health: an American Academy of Sleep Medicine position statement. J Clin Sleep Med 2021; 17 (10) 2115-2119
  • 7 Hyun S, Hahm HC, Wong GTF, Zhang E, Liu CH. Psychological correlates of poor sleep quality among U.S. young adults during the COVID-19 pandemic. Sleep Med 2021; 78: 51-56
  • 8 Cheng W, Rolls ET, Ruan H, Feng J. Functional Connectivities in the Brain That Mediate the Association Between Depressive Problems and Sleep Quality. JAMA Psychiatry 2018; 75 (10) 1052-1061
  • 9 Parry BL, Javeed S, Laughlin GA, Hauger R, Clopton P. Cortisol circadian rhythms during the menstrual cycle and with sleep deprivation in premenstrual dysphoric disorder and normal control subjects. Biol Psychiatry 2000; 48 (09) 920-931
  • 10 Zimmerman AJ, Grant SFA. Bridging sleep with psychiatric disorders through genetics. Sleep 2025; 48 (01) zsae235
  • 11 Rezaie L, Norouzi E, Bratty AJ, Khazaie H. Better sleep quality and higher physical activity levels predict lower emotion dysregulation among persons with major depression disorder. BMC Psychol 2023; 11 (01) 171
  • 12 Björkman F, Ekblom Ö. Physical Exercise as Treatment for PTSD: A Systematic Review and Meta-Analysis. Mil Med 2022; 187 (9-10): e1103-e1113
  • 13 Tang J, Chen LL, Zhang H, Wei P, Miao F. Effects of exercise therapy on anxiety and depression in patients with COVID-19: a systematic review and meta-analysis. Front Public Health 2024; 12: 1330521
  • 14 Mendelson M, Borowik A, Michallet AS, Perrin C, Monneret D, Faure P. et al. Sleep quality, sleep duration and physical activity in obese adolescents: effects of exercise training. Pediatr Obes 2016; 11 (01) 26-32
  • 15 Hallgren M, Herring MP, Owen N, Dunstan D, Ekblom Ö, Helgadottir B. et al. Exercise, physical activity, and sedentary behavior in the treatment of depression: broadening the scientific perspectives and clinical opportunities. Front Psychiatry 2016; 7: 36
  • 16 Moyers SA, Hagger MS. Physical activity and cortisol regulation: A meta-analysis. Biol Psychol 2023; 179: 108548
  • 17 Docherty S, Harley R, McAuley JJ, Crowe LAN, Pedret C, Kirwan PD. et al. The effect of exercise on cytokines: implications for musculoskeletal health: a narrative review. BMC Sports Sci Med Rehabil 2022; 14 (01) 5
  • 18 Cefis M, Chaney R, Wirtz J, Méloux A, Quirié A, Leger C. et al. Molecular mechanisms underlying physical exercise-induced brain BDNF overproduction. Front Mol Neurosci 2023; 16: 1275924
  • 19 Chen K-M, Chen M-H, Chao H-C, Hung H-M, Lin H-S, Li C-H. Sleep quality, depression state, and health status of older adults after silver yoga exercises: cluster randomized trial. Int J Nurs Stud 2009; 46 (02) 154-163
  • 20 Whitworth JW, Nosrat S, SantaBarbara NJ, Ciccolo JT. Feasibility of resistance exercise for posttraumatic stress and anxiety symptoms: a randomized controlled pilot study. J Trauma Stress 2019; 32 (06) 977-984
  • 21 Whitworth JW, Nosrat S, SantaBarbara NJ, Ciccolo JT. High intensity resistance training improves sleep quality and anxiety in individuals who screen positive for posttraumatic stress disorder: A randomized controlled feasibility trial. Ment Health Phys Act 2019; 16: 43-49
  • 22 Glavin EE, Matthew J, Spaeth AM. Gender Differences in the Relationship Between Exercise, Sleep, and Mood in Young Adults. Health Educ Behav 2022; 49 (01) 128-140
  • 23 Liberati A, Altman DG, Tetzlaff J. et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. Ann Intern Med 2009; 151 (04) W65-94
  • 24 Higgins JPT, Thomas J, Chandler J, Cumpston M, Li T, Page M. et al. Cochrane Handbook for Systematic Reviews of Interventions. 2nd Edition,. Chichester (UK): John Wiley & Sons; 2019
  • 25 Smart NA, Waldron M, Ismail H, Giallauria F, Vigorito C, Cornelissen V, Dieberg G. Validation of a new tool for the assessment of study quality and reporting in exercise training studies: TESTEX. Int J Evid-Based Healthc 2015; 13 (01) 9-18
  • 26 Choi M-J, Sohng K-Y. The effects of floor-seated exercise program on physical fitness, depression, and sleep in older adults: A cluster randomized controlled trial. Int J Gerontol 2018; 12 (02) 116-121
  • 27 Laredo-Aguilera JA, Carmona-Torres JM, García-Pinillos F, Latorre-Román PÁ. Effects of a 10-week functional training programme on pain, mood state, depression, and sleep in healthy older adults. Psychogeriatrics 2018; 18 (04) 292-298
  • 28 Reid KJ, Baron KG, Lu B, Naylor E, Wolfe L, Zee PC. Aerobic exercise improves self-reported sleep and quality of life in older adults with insomnia. Sleep Med 2010; 11 (09) 934-940
  • 29 Chin EC, Yu AP, Leung CK, Bernal JD, Au WW, Fong DY. et al. Effects of exercise frequency and intensity on reducing depressive symptoms in older adults with insomnia: A pilot randomized controlled trial. Front Physiol 2022; 13: 863457
  • 30 Chen K-M, Huang H-T, Cheng Y-Y, Li C-H, Chang Y-H. Sleep quality and depression of nursing home older adults in wheelchairs after exercises. Nurs Outlook 2015; 63 (03) 357-365
  • 31 Cheung LK, Lee S. A randomized controlled trial on an aerobic exercise programme for depression outpatients. Sport Sci Health 2018; 14: 173-181
  • 32 Abd El-Kader SM, Al-Jiffri OH. Aerobic exercise affects sleep, psychological wellbeing and immune system parameters among subjects with chronic primary insomnia. Afr Health Sci 2020; 20 (04) 1761-1769
  • 33 Lu X, Liu L, Yuan R. Effect of the information support method combined with yoga exercise on the depression, anxiety, and sleep quality of menopausal women. Psychiatr Danub 2020; 32 (3-4): 380-388
  • 34 Aibar-Almazán A, Hita-Contreras F, Cruz-Díaz D, de la Torre-Cruz M, Jiménez-García JD, Martínez-Amat A. Effects of Pilates training on sleep quality, anxiety, depression and fatigue in postmenopausal women: A randomized controlled trial. Maturitas 2019; 124: 62-67
  • 35 Xie F, You Y, Guan C, Xu J, Yao F. The qigong of prolong life with nine turn method relieve fatigue, sleep, anxiety and depression in patients with chronic fatigue syndrome: a randomized controlled clinical study. Front Med (Lausanne) 2022; 9: 828414
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Fig. 1. Flowchart of study selection.
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Fig. 2. Forest plot for the exercise effect on sleep quality. The square represents the meaning difference between exercise and control groups. The line represents the 95% confidence interval (95%CI). The diamond reflects the pooled effects of exercise. Abbreviation: IV, inverse variance and random effects.
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Fig. 3. Forest plot for the exercise effect on depressive symptoms. The square represents the meaning difference between exercise and control groups. The line represents the 95% confidence interval (95%CI). The diamond reflects the pooled effects of exercise. Abbreviation: IV, inverse variance and random effects.