Introduction
Globally, schizophrenia is the third most debilitating mental disorder, behind only depression and anxiety, and this situation is set to worsen with population aging and growth [Reference Vos, Abajobir, Abate, Abbafati, Abbas and Abd-Allah1]. Psychopathology (i.e., dysfunctional affectivity and positive and negative symptoms) significantly contributes to the poor physical health [Reference Bouza, López-Cuadrado and Amate2] and long-term disability often observed among patients with schizophrenia [Reference Sharifi, Eaton, Wu, Roth, Burchett and Mojtabai3, Reference Lee, Kim, Kim and Ryu4], thereby increasing the mortality risk in this population group [Reference Gatov, Rosella, Chiu and Kurdyak5]. Current pharmacological approaches are relatively cheap and widely used but offer limited effects on psychopathology [Reference Kane and Correll6, Reference Barnes, Drake, Paton, Cooper, Deakin and Ferrier7]. In addition, antipsychotics (i.e., front-line pharmacological treatment for patients with schizophrenia) result in the side effects of weight gain [Reference Stroup and Gray8] and metabolic syndrome [Reference Stroup and Gray8, Reference Stubbs, Vancampfort, De Hert and Mitchell9]. Thus, non-pharmacological treatments are often used alongside medication in an effort to provide a more comprehensive management of symptoms associated with schizophrenia [Reference Vancampfort, Firth, Correll, Solmi, Siskind and De Hert10]. Nonetheless, the implementation of non-pharmacological treatments varies across different settings and contexts [Reference Keepers, Fochtmann, Anzia, Benjamin, Lyness and Mojtabai11], partially due to a lack of consensus on what is the most effective course of action to manage the symptoms observed in patients with schizophrenia [Reference Barnes, Drake, Paton, Cooper, Deakin and Ferrier7, Reference Keepers, Fochtmann, Anzia, Benjamin, Lyness and Mojtabai11].
Exercise may have a wide range of benefits for patients with schizophrenia [Reference Firth, Solmi, Wootton, Vancampfort, Schuch and Hoare12]. For example, by improving cardiorespiratory fitness and metabolic health, exercise may contribute to reducing the physical health problems associated with schizophrenia, such as obesity [Reference Vancampfort, Rosenbaum, Ward and Stubbs13] and diabetes [Reference Stubbs, Vancampfort, De Hert and Mitchell9], thereby lowering the risk of premature mortality. Other studies have also shown that exercise can positively impact mental health (i.e., depression and anxiety) [Reference Dauwan, Begemann, Heringa and Sommer14, Reference Dauwan, Begemann, Slot, Lee, Scheltens and Sommer15] and cognition [Reference Malchow, Reich-Erkelenz, Oertel-Knöchel, Keller, Hasan and Schmitt16, Reference Firth, Cotter, Elliott, French and Yung17] in this population group. Thus, exercise is increasingly being recognized as a novel non-pharmacological adjuvant therapy for patients diagnosed with schizophrenia [Reference Firth, Solmi, Wootton, Vancampfort, Schuch and Hoare12].
A number of recent meta-analyses [Reference Dauwan, Begemann, Heringa and Sommer14–Reference Sabe, Kaiser and Sentissi19] have also shown that exercise can significantly improve positive and negative symptoms and affectivity in patients with schizophrenia, yet this evidence should be considered with limitations. First, existing reviews have not considered the clinical setting (i.e., outpatients/inpatients) or the effect of different types of exercises (e.g., aerobic and strength) on many important clinical outcomes, which may limit the understanding of main challenges experienced by people with schizophrenia (e.g., intervention design or poor motivation) in trying to increase this important health behavior [Reference Malchow, Reich-Erkelenz, Oertel-Knöchel, Keller, Hasan and Schmitt16, Reference Tarpada and Morris20–Reference Arnautovska, Kesby, Korman, Rebar, Chapman and Warren22]. Furthermore, the current meta-analytic evidence is also limited by several methodological caveats including failing to account for the existence and length of follow-up of interventions, the different comparator groups reported in the literature, and the use of non-hierarchical analytical techniques when analyzing correlated effect sizes (i.e., different effects sizes sourced from the same study), which may have resulted in biased estimates of the effect of exercise for patients with schizophrenia [Reference Moeyaert, Ugille, Natasha Beretvas, Ferron, Bunuan and Van den Noortgate23].
Synthesizing the existing evidence using hierarchical meta-analytic techniques while also exploring relevant moderators may help clinicians and decision-makers in considering exercise as part of the treatment array of patients with schizophrenia.
The primary aim of the current study was to review and, through multilevel meta-analytic techniques [Reference Cheung24], quantify the current evidence investigating the effects of exercise interventions on psychopathology in patients with schizophrenia. We also investigated if the observed effects were moderated by clinical setting, follow-up, comparison group and type of exercise. A secondary aim of this review was to explore the effect of exercise on a comprehensive array of other clinical outcomes commonly reported in the literature for patients with schizophrenia.
Methods
Search strategy
This meta-analysis was pre-registered (PROSPERO 2020 CRD42020180042), and it was conducted according to the Preferred Reporting for Systematic Reviews and Meta-analysis (PRISMA) Statement. Guided by the PICOS framework, we performed a systematic search in the databases MEDLINE, CINAHL, Scopus, WoS, PsycINFO, SportDiscus, and Cochrane Library. The search strategy, dates, and queries are shown in Appendix A of the Supplementary Material. Title/abstract and full-text screening were conducted independently and in duplicate (D.G.-G. and F.A.-B.) with disagreements resolved by discussion or adjudication by a third author (J.P.-C.).
Inclusion criteria
We searched for and included:
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• Participants: Patients 18–65 years old diagnosed with schizophrenia disorder by the Diagnostic and Statistical Manual of Mental Disorders in his fourth or fifth edition (DSM-IV, DSM-V) or by the International Classification of Diseases in his 10th or 11th edition (ICD-10, ICD-11).
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• Interventions: Studies that used a specific type of exercise as the main element of the intervention.
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• Comparison: Exercise compared with non-exercise treatments or another exercise intervention.
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• Outcomes: A range of outcomes such as psychopathology (primary outcome) and quality of life, activities of daily living (ADL) or physical function among others.
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• Type of interventions: Randomized controlled trials (RCTs) written in English.
Exclusion criteria were studies reporting mixed interventions with exercise where it was not possible to extract data covering a pure exercise intervention group (e.g., cognitive therapy with exercise) and patients with another additional serious illness (e.g., bipolar disorder and type II diabetes).
Data extraction
We developed a data extraction spreadsheet. Two authors extracted information independently and in duplicate for each included article. The rest of the authors checked the extracted data corresponding to trial participant’s features (sample size, age, sex, clinical setting, medication type, and doses), descriptive statistics (pre- and post-sample size, means, standard deviations, and standard errors), outcome description (and timepoint), and if applicable, follow-up mean, and standard deviation. Disagreements were resolved by consensus between all authors; and if no agreement could be reached, a third research-independent reviewer was asked. If information was missing, the corresponding author was requested to supply the information or data for inclusion in the analyses.
All outcome data assessed, and their evaluation tools are listed in Appendix B of the Supplementary Material.
Data synthesis
We conducted a three-level meta-analysis that allowed us to nest effect sizes within studies [Reference Moeyaert, Ugille, Natasha Beretvas, Ferron, Bunuan and Van den Noortgate23]. Compared with more traditional meta-analytic approaches and based on previous methodological work, this model produces powerful, unbiased, and precise effect size and between-study heterogeneity estimates than simply selecting or averaging effect sizes within studies [Reference Moeyaert, Ugille, Natasha Beretvas, Ferron, Bunuan and Van den Noortgate23]. However, if a study had multiple intervention conditions, we extracted all exercise-based intervention, but not the other active treatments (e.g., cognitive therapy). Similarly, we extracted all comparison conditions that were not active interventions.
We used the ‘metafor’ and ‘compute.es’ packages in R [25] to calculate standardized mean differences (Hedges’ g) using all available data. Omitting trials with some missing data leads to biased effect size estimates, so when mean and SD were not available, we used other statistics (e.g., confidence intervals and p-values) or imputation as described in the guidelines from the Cochrane Handbook [Reference Higgins, Thomas, Chandler, Cumpston, Li and Page26].
We conducted meta-analyses using the ‘metaSEM’ and ‘msemtools’ packages in R [25]. We conducted a series of random-effects, multilevel meta-analyses (one for each outcome), where effect sizes were nested within studies. Heterogeneity at each level of the meta-analysis (within and between studies) was estimated via Cochran’s 𝘘, I 2, and R 2 [Reference Higgins and Thompson27, Reference JPT, Thompson, Deeks and Altman28]. This meta-analysis model was applied because it was assumed that the observed estimates of treatment/intervention effects vary within/between studies because of real differences in the intervention effects as well as sampling variability [Reference Maher, Sherrington, Herbert, Moseley and Elkins29]. Based on recent evidence [Reference Lee, Kim, Kim and Ryu4], we conducted an additional random-effects subgroup meta-analysis model to explore the differential effects of exercise on positive and negative psychopathological symptoms. We then conducted moderation analyses for the following variables: clinical setting (inpatient vs. outpatient), intervention group (type of exercise), control group (type of comparison group), and follow-up (post-test outcomes vs. follow-up). Statistical significance was accepted at a level of P < 0.05.
Risk of bias for individual studies
To assess the risk of bias within studies, we selected the Physiotherapy Evidence Database (PEDro) scale score. The PEDro score is a scale developed to be used in evaluating interval validity and presenting statistical analysis to support clinical evidence-based practice, which allowed us to determine methodological quality and assess risk of bias [Reference Maher, Sherrington, Herbert, Moseley and Elkins29–Reference Elkins, Moseley, Sherrington, Herbert and Maher31]. It presents 10 items. If the study presents the evidence quality indicator, it was assigned 1, and if it did not present it, it was assigned 0. When the score of an article was not shown in the PEDro website, three reviewers (D.G.-G., F.A.-B., and R.M.A.-R.) agreed on a rating of this study following the criteria stipulated by the PEDro scale.
We conducted a sensitivity analysis to assess whether biases identified by PEDro account for variance in the overall effect estimates. To this end, the methodological quality domains included in the PEDro scale (allocation concealment, blinded participants, blinded personnel, blinded assessors, incomplete outcome data, selective outcome reporting, other bias, and overall risk of bias) were entered as moderators in the model conducted for each outcome.
Risk of bias across studies
We assessed publication bias separately for each outcome. To do this, we created three-parameter selection models (3PSMs) [Reference Hedges and Vevea32], which are more sensitive and specific to the assessment of publication bias than others [Reference Pustejovsky and Rodgers33]. They identify whether studies are more likely to be published when significant, and a significant 3PSM likelihood test indicates the presence of publication bias. To quantify the strength of the publication bias, we conducted sensitivity analyses described by Mathur and VanderWeele [Reference Mathur and VanderWeele34], when results for that outcome were significant. These analyses identify the degree of selection pressure – i.e., the increased likelihood of publication for significant versus nonsignificant studies – needed to explain pooled effects (s-value).
Certainty assessment
The Grading of Recommendations, Assessment, Development and Evaluations (GRADE) system was used to rate the quality of evidence presented in the meta-analyses, and was applied to each outcome because the quality of evidence often varies between outcomes. Because the included studies are randomized controlled trials, it starts with the maximum score (“high quality of evidence”) and as the quality of evidence criteria were applied (risk of bias, imprecision, inconsistency, and publication bias), the score dropped if any outcomes failed to meet criteria for certainty. Three authors graded the evidence from “high” to “very low.” We used the PRISMA statement checklist to provide transparent, complete, and accurate reporting of this systematic review [Reference Page, McKenzie, Bossuyt, Boutron, Hoffmann and Mulrow35].
Results
Included studies
The systematic search returned 1,116 scientific studies. After removing duplicates and applying the inclusion criteria, 28 studies were selected for inclusion in the meta-analysis. The citations for these articles are included in Appendix B of the Supplementary Material. The complete selection process can be seen in the PRISMA flow diagram (Figure 1). From the final included studies, a total of 332 effect sizes were extracted for 11 outcomes including schizophrenia psychopathology (N = 68), quality of life (N = 34), anthropometric and body composition (N = 34), cardiorespiratory fitness (N = 29), ADL (N = 16), cognitive function (N = 65), muscular strength (N = 10), physical function (N = 22), physical health biomarkers (N = 41), psychological biomarkers (N = 9), and stress and anxiety (N = 4). Interventions that were directly compared were aerobic exercise versus treatment as usual (k [i.e., number of studies] = 10), mind–body interventions (e.g., yoga or tai-chi) versus treatment as usual (k = 5), concurrent training (i.e., combination of resistance and aerobic exercises) versus treatment as usual (k = 2), high-intensity interval training (HIIT) versus video games (k = 2), resistance exercise versus video games (k = 1), sports’ games versus treatment as usual (k = 1), aerobic exercise versus resistance exercise (k = 1), aerobic exercise versus occupational therapy (k = 1), resistance exercise versus occupational therapy (k = 1), video games versus occupational therapy (k = 1), aerobic exercise versus sports’ games (k = 1), body-oriented psychological therapy versus treatment as usual (k = 1), and resistance training versus concurrent training (k = 1). Only two studies reported follow-up data at 3 and 6 months after the intervention.
Figure 1. PRISMA flowchart of studies selection applying eligibility criteria.
Participants’ characteristics and study design parameters
Studies characteristics are shown in Appendix C of the Supplementary Material The year of publication of the included trials vary between 2005 and 2020. In those studies, 1,877 patients participated, and 1,460 were analyzed (34.32% females). Twenty-two studies reported the age of the patients (mean = 39.06, SD = 9.32). Of those patients who were analyzed, 1,124 were outpatients (i.e., non-institutionalized/community-dwelling; 76.79%; k = 21), and 336 were inpatients (i.e., institutionalized; k = 8). All patients were medicated with antipsychotic treatment based on a variety of drugs (e.g., olanzapine, risperidone, or haloperidol) for at least 6 months. Twenty-five trials reported information about the supervision of their interventions, and the qualification of the trial personnel, which ranged from certified physical trainers to physiologists, physiotherapists, nurses, and researchers. Interventions presented a median dropout rate of 21% (range = no dropouts to 42%), which was highly sample-dependent.
Psychopathology
Exercise significantly improved the psychopathology of people with schizophrenia (k = 14; N = 56; g = 0.28, [95% CI 0.14, 0.42]). These effect sizes and those corresponding to the rest of the selected outcomes are illustrated in the plot represented in Figure 2. Our subgroup analysis showed that exercise had significant effects on negative symptoms (N = 21; g = 0.65; [95% CI 0.53, 0.78]) but not on positive symptoms of psychopathology (N = 35; g = −0.05; [95% CI –0.15, 0.06]) (Table 1).
Table 1. Random-effects subgroup meta-analysis results (N = 56).
* Statistically significant effect size (i.e., P-value is below 0.05 and 95% CI does not included the zero)
Figure 2. Forest plot showing all study-specific effect sizes and pooled estimates for each analysed outcome.
Note. Studies are ordered according to their publication year.
Initially, it was Q
(55) because of the degrees of freedom of this statistic (number of studies included in this outcome (56) – 1). However, we consider substitute that just using Q for a better understanding of the reader and simplicity. So, use (Q= 130.05, P< 0.001), with heterogeneity (via I 2) at level 2 (between studies) of 52.26% and at level 3 (within studies) of 5.92%. Whether or not patients were inpatients significantly moderated the observed effects (
$ {R}_{(2)}^2 $
= 25.99%,
$ {R}_{(3)}^2 $
= 100.00%, P < 0.001) with stronger results in outpatients (g = 0.43, [95% CI 0.29, 0.57], k = 9, N = 38) than in inpatients (g = −0.05, [95% CI –0.29, 0.19], k = 4, N = 12). Comparison group also significantly moderated effects (
$ {R}_{(2)}^2 $
= 21.67%,
$ {R}_{(3)}^2 $
= 100.00%, P = 0.03) with exercise leading to greater symptom reduction versus treatment as usual (g = 0.29, [95% CI 0.16, 0.42], k = 11, N = 45) and occupational therapy (g = 0.49, [95% CI 0.16, 0.81], k = 2, N = 8), but not in the one study that used video games as a comparison (g = −0.61, [95% CI –1.19, −0.03], k = 1, N = 3) (Table 2).
Table 2. Moderation effects on study outcomes.
Note: Clinical setting moderated whether patients were inpatients or not. Intervention group moderated for the type of exercise prescribed. Comparison group moderated for what was giving to the control condition. Follow-up moderated for whether a post-intervention evaluation was carried out or not. If not all the moderators appeared in a variable, it could mean that (a) the studies that provided the data for them did not have that moderator in common; (b) all the included studies of the same outcome included the same class of a specific moderator; or (c) were removed from the meta-analysis model because of the great amount of uncertainty that introduced.
k, number of studies; N, number of effects from those studies; SE, standard error.
* P-value < 0.05.
In sensitivity analyses, only allocation concealment significantly moderated the results (
$ {R}_{(2)}^2 $
= 5.20%,
$ {R}_{(3)}^2 $
= 100.00%, P = 0.03). Higher methodological rigor tended toward stronger effects: studies with adequately concealed allocations demonstrated bigger effect sizes (g = 0.35, 95% CI [0.21, 0.49], k = 9, N = 46) than those for which allocation could have been overlooked (g = −0.01, [95% CI –0.29, 0.28], k = 5, N = 10). The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 6.31, P = 0.27). The estimate of the s-value indicated that no amount of publication bias could eliminate this effect (lower bound of s-value CI: 4.47 times as likely).
Secondary outcomes
Moderation analyses pertaining to the main and secondary outcomes of this meta-analysis are presented in Table 2.
Quality of life
There was no significant overall effect of exercise on quality of life (k = 9; N = 28; g = 0.30, [95% CI −0.05, 0.65]). Clinical setting of interventions significantly moderated effects (
$ {R}_{(2)}^2 $
= 17.28%;
$ {R}_{(3)}^2 $
= 87.77%; P = 0.004) with larger effects in inpatients (g = 0.89, [95% CI 0.52, 1.26], k = 3, N = 7). The type of exercise also significantly moderated effects (
$ {R}_{(2)}^2 $
= 31.37%;
$ {R}_{(3)}^2 $
= 100.00%; P = 0.012) with significant results for HIIT (g = 0.77, [95% CI 0.27, 1.28], k = 1, N = 3) and aerobic exercise (g = 0.80, [95% CI 0.45, 1.14], k = 3, N = 6) showing large effect sizes. Conversely, light–moderate aerobic exercise had a negative association with quality of life (g = −0.24, [95% CI –0.41, −0.07], k = 3, N = 16). Yoga had a nonsignificant impact (g = 0.23, [95% CI –0.18, 0.64], k = 2, N = 3). Finally, if patients were evaluated at follow-up or not also significantly moderated the observed effects (
$ {R}_{(2)}^2 $
= 89.67%;
$ {R}_{(3)}^2 $
= 7.80%, P = 0.008) with significant results for the studies in which patients were analyzed at follow-up (g = 1.11, [95% CI 0.46, 1.77], k = 2, N = 2) but not significant otherwise (g = 0.22, [95% CI –0.12, 0.55], k = 7, N = 26) (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 2.42, P = 0.79).
Anthropometric measurements and body composition
Our meta-analysis revealed no effect of exercise on anthropometric measurements and body composition of patients with schizophrenia (k = 10; N = 34; g = 0.04, [95% CI –0.14, 0.22]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are likely to be influenced by publication bias (
$ {\chi}^2(5) $
= 14.43, P = 0.01).
Cardiorespiratory fitness
The pooled effect of exercise on cardiorespiratory fitness was not significant (k = 10; N = 28; g = 0.13, [95% CI –0.24, 0.51]). Clinical setting of interventions significantly moderated the observed effects (
$ {R}_{(2)}^2 $
= 0.00%;
$ {R}_{(3)}^2 $
= 79.90%; P = 0.01), with results being only significant for outpatients (g = 0.31, [95% CI 0.02, 0.61], k = 7, N = 22) (Table 2).
In sensitivity analyses, only overall risk of bias score significantly moderated results (
$ {R}_{(2)}^2 $
= 0.00,
$ {R}_{(3)}^2 $
= 0.92, P = 0.03) with higher rigor tended toward stronger effects: studies with low overall score of risk of bias demonstrated bigger effect sizes (g = 0.91, 95% CI [0.42, 1.41], k = 1, N = 1) than those where a high risk of bias score were obtained (g = 0.10, 95% CI [−0.18, 0.38], k = 7, N = 24). The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 9.51, P = 0.09).
ADL
Exercise significantly improved the ADL of patients with schizophrenia (k = 10, N = 16; g = 0.26, [95% CI 0.09, 0.43]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, incomplete outcomes significantly moderated results (
$ {R}_{(2)}^2 $
= 0.00,
$ {R}_{(3)}^2 $
= 1.00, P = 0.047) which demonstrated that in the studies which there were more data outcomes, the effect sizes were bigger (g = 0.47, 95% CI [0.22, 0.72], k = 4, N = 6) where the incomplete data outcomes was notorious (g = 0.16, 95% CI [0.01, 0.32], k = 3, N = 7). The 3PSM likelihood ratio test suggested that these results are likely to be influenced by publication bias (
$ {\chi}^2(5) $
= 11.28, P = 0.046).
Cognitive function
The effect of exercise on cognitive function in patients with schizophrenia was not significant (k = 6; N = 47; g = 0.01, [95% CI –0.55, 0.58]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are likely to be influenced by publication bias (
$ {\chi}^2(5) $
= 14.20, P = 0.014).
Muscular strength
Our meta-analysis detected a significant effect of exercise on muscular strength among patients with schizophrenia (k = 3; N = 6; g = 0.52, [95% CI 0.22, 0.81]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 3.59, P = 0.61).
Physical function
There was not a significant effect of exercise on the physical function of patients with schizophrenia (k = 8; N = 17; g = 0.50, [95% CI –0.07, 1.06]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are likely to be influenced by publication bias (
$ {\chi}^2(5) $
= 13.32, P = 0.02).
Physical health biomarkers
We did not detect an overall effect of exercise on physical health biomarkers (e.g., lipid profile, fasting glucose, or high blood pressure) among patients with schizophrenia (k = 8; N = 26; g = 0.02, [95% CI –0.24, 0.29]). The type of comparison group significantly moderated these effects (
$ {R}_{(2)}^2 $
= 74.82%;
$ {R}_{(3)}^2 $
= 0.00%, P = 0.036) with exercise tending to improve physical health biomarkers versus occupational therapy (g = 0.34, 95% CI [−0.05, 0.73], k = 3, N = 10), but not in the studies that used treatment as usual (g = −0.23, 95% CI [−0.66, 0.18], k = 3, N = 13) or video games (g = −0.15, 95% CI [−0.77, 0.47], k = 3, N = 3) as a comparison (Table 2).
In sensitivity analyses, blinded outcomes assessors significantly moderated results (
$ {R}_{(2)}^2 $
= 0.11,
$ {R}_{(3)}^2 $
= 0.92, P = 0.031) and the studies with blinded evaluators yielded bigger effect sizes (g = 0.35, 95% CI [0.06, 0.64], k = 3, N = 9) than those which evaluators were not blinded to the outcomes assessed (g = −0.17, 95% CI [−0.38, 0.04], k = 4, N = 16). The overall risk of bias score also significantly moderated results (
$ {R}_{(2)}^2 $
= 0.16,
$ {R}_{(3)}^2 $
= 1.00, P = 0.02) and higher rigor tended toward stronger effects: studies with low overall score of risk of bias demonstrated bigger effect sizes (g = 0.48, 95% CI [0.11, 0.84], k = 1, N = 6) than those which a high risk of bias score were obtained (g = −0.13, 95% CI [−0.31, 0.05], k = 6, N = 19). The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 2.51, P = 0.77).
Psychological biomarkers
There was not a significant effect of exercise on the psychological biomarkers (e.g., cortisol, dehydroepiandrosterone, or brain-derived neurotrophic factor) of patients with schizophrenia (k = 3; N = 4; g = −0.12, [95% CI –0.40, 0.17]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 4.17, P = 0.52).
Stress and anxiety
There was not a significant effect of exercise on stress and anxiety of patients with schizophrenia (k = 2; N = 3; g = 0.14, [95% CI –0.11, 0.40]). None of the moderators assessed were significant (Table 2).
In sensitivity analyses, results showed none of the risk of bias domains moderated effects. The 3PSM likelihood ratio test suggested that these results are unlikely to be influenced by publication bias (
$ {\chi}^2(5) $
= 9.27, P = 0.09).
Risk of bias and quality of evidence assessments
The results from the PEDro scale indicated that 12 studies had good methodological quality, 13 studies were of fair methodological quality, and 2 studies had very low methodological quality (Table 3). According to the GRADE system, the overall quality of the evidence was low–moderate. The quality for studies investigating the primary outcome of this study, psychopathology, was of moderate quality. The evidence for cardiorespiratory fitness and physical function was of high quality. The quality of evidence for quality of life, anthropometric measurements and composition, ADL and muscular strength outcomes was moderate. For cognitive function and physical health biomarkers the quality of evidence was low and was very low for psychological biomarkers and stress and anxiety indicators (Table 4). Lastly, the PRISMA checklist was checked in the Appendix D of the Supplementary Material.
Table 3. Assessment of the methodological quality using the PEDro scale of the articles included in the quantitative analysis.
Note: Y, 1 point; N, 0 point; total, total number of points of each trial. Eligibility criteria item does not contribute to total score.
Included studies: 1, Andersen et al. (2020); 2, Armstrong et al. (2016); 3, Bathia et al. (2017); 4, Battaglia et al. (2013); 5, Beebe et al. (2005); 6, Bredin (2013); 7, Caponnetto et al. (2019); 8, Curcic et al. (2017); 9, E Silva et al. (2015); 10, Heggelund et al. (2011); 11, Heggelund et al. (2012); 12, Ho et al. (2012); 13, Hsu et al. (2016); 14, Ikai et al. (2013); 15, Kaltsatou et al. (2014); 16, Kim et al. (2014); 17, Kimhy et al. (2015); 18, Loh et al. (2016); 19, Marzolini (2009); 20, Pajonk et al. (2010); 21, Rohricht and Priebe (2006); 22, Ryu et al. (2020); 23, Scheewe et al. (2012); 24, Scheewe et al. (2013); 25, Shimada et al. (2019); 26, Shimizu (2017); 27, Svatkova et al. (2015); 28, Varambally et al. (2012).
Table 4. Assessment of quality of evidence using GRADE system.
1, risk of bias; 2, imprecision; 3, inconsistency; 4, indirectness; † † † †, high quality; † † †, moderate quality; † †, low quality; †, very low quality.
Discussion
This review of 28 studies (1,460 participants) was set to examine the effects of exercise on psychopathology (primary outcome) and other commonly reported clinical outcomes in patients diagnosed with schizophrenia. Pooled effect estimates across all psychopathology outcomes (14 studies; 828 participants) showed that supervised exercise interventions significantly improve psychopathology in patients with schizophrenia. Effect sizes moderately varied between studies. Our moderation analyses showed that exercise was consistently superior to the provision of usual treatment and occupational therapy. The positive effects of exercise on psychopathology were stronger in outpatients than those who were institutionalized. Remarkably, the observed benefits were independent of the type of exercise performed.
Our results are broadly consistent with existing literature [Reference Dauwan, Begemann, Heringa and Sommer14, Reference Malchow, Reich-Erkelenz, Oertel-Knöchel, Keller, Hasan and Schmitt16–Reference Vera-Garcia, Mayoral-Cleries, Vancampfort, Stubbs and Cuesta-Vargas18, Reference Ho, Dahle and Noordsy36] and demonstrate the positive effects of exercise for psychopathology outcomes in patients with schizophrenia. Our findings may be partially explained by the capacity of exercise to reduce oxidative stress [Reference Fisher, Wood, Elsworthy, Upthegrove and Aldred37] and stimulate the release of brain-derived neurotrophic factor [Reference Kimhy, Vakhrusheva, Bartels, Armstrong, Ballon and Khan38] in this population. Nonetheless, the effect size from our meta-analysis (g = 0.28) was smaller than that found by Firth et al. [Reference Firth, Cotter, Elliott, French and Yung17] and Dauwan et al. [Reference Dauwan, Begemann, Heringa and Sommer14] (g = 0.72 and 0.39, respectively). Possibly, these differences are due to the advantageous use of multilevel meta-analytic techniques in our study, which also produced more precise (i.e., narrower) confidence intervals. It is also worth noting that the effect size found in our meta-analysis was comparable to the effect of common antipsychotic drugs [Reference Huhn, Nikolakopoulou, Schneider-Thoma, Krause, Samara and Peter39, Reference Mizuno, McCutcheon, Brugger and Howes40]. As a novelty, our moderation analysis indicated that the psychopathology benefits of exercise were greater in outpatients. Several factors may account for this observation. First, the lack of freedom [Reference Weisman de Mamani, Gurak, Maura, de Andino A, Weintraub and Mejia41] and increase in medication dosage [Reference da Silva, Baldaçara, Cavalcante, Fasanella and Palha42] often observed in mental health institutions may increase the stigma of patients with schizophrenia [Reference da Silva, Baldaçara, Cavalcante, Fasanella and Palha42]. This stigmatization may result in exacerbated negative symptoms [Reference da Silva, Baldaçara, Cavalcante, Fasanella and Palha42] and may prevent patients from engaging in healthy lifestyles, including exercise [Reference McKibbin, Kitchen, Wykes and Lee43]. Conversely, outpatients have better functionality and enjoy the freedom inpatients do not, which may also result in healthier lifestyle choices [Reference Rabinowitz, Berardo, Bugarski-Kirola and Marder44, Reference Karow, Wittmann, Schöttle, Schäfer and Lambert45], possibly supported by family and friends [Reference da Silva, Baldaçara, Cavalcante, Fasanella and Palha42]. In addition, adherence to exercise programs is lower among inpatients compared with outpatients [Reference Holmemo, Fløvig, Heggelund and Vedul-Kjelsås46], which ultimately may undermine the utility of exercise-based strategies to treat psychopathology in patients with schizophrenia that are institutionalized. Therefore, finding strategies to increase the adherence to exercise programs is crucial for patients with schizophrenia [Reference Rastad, Martin and Asenlöf47], particularly among inpatients [Reference Rastad, Martin and Asenlöf47].
Our results also suggest that exercise may be efficacious to improve muscular strength and ADL in patients with schizophrenia, which is consistent with previous meta-analyses and single trials [Reference Dauwan, Begemann, Heringa and Sommer14, Reference Dauwan, Begemann, Slot, Lee, Scheltens and Sommer15, Reference Firth, Cotter, Elliott, French and Yung17]. Although not surprising, this finding is relevant, as muscle loss is often observed in patients with schizophrenia, particularly among those with impacted psychopathology [Reference Strassnig, Signorile, Gonzalez and Harvey48]. These results were robust to the covariates explored in this meta-analysis. Consistently, our estimates also suggest that exercise can improve physical functioning and quality of life of this population group [Reference Dauwan, Begemann, Heringa and Sommer14]. Intriguingly, the benefits of exercise for quality of life were larger in inpatients than in outpatients. A partial explanation for this finding could be that the addition of an exercise routine may be perceived by patients as something novel in a very controlled environment, which could enhance their quality of life [Reference Ifteni, Szalontay and Teodorescu49]. Drop-out rates have been documented to be lower in acute settings [Reference Vancampfort, Rosenbaum, Schuch, Ward, Probst and Stubbs50], which could also influence the results. Lastly, patients in acute care tend to depict lower levels of self-perceived health and may therefore have more room for improvement [Reference Uggerby, Nielsen, Correll and Nielsen51]. We found that the type of exercise performed did also moderate the results on quality of life. Consistent with previous studies, aerobic exercise and HIIT were more effective to improve quality of life, but yoga and low-intensity aerobic exercise were not, showing the latter a negative association with this variable. It may be possible that a certain intensity is required to elicit significant self-perceived health benefits [Reference Stubbs, Firth, Berry, Schuch, Rosenbaum and Gaughran52]. Nonetheless, these negative results associated with yoga and low-intensity aerobic exercise may just be an artifact that reflects the low number of studies exploring these two exercise modalities in our review. Similarly, cardiorespiratory fitness improved more in outpatients, possibly because the majority of studies in this setting used HIIT or aerobic exercise and the number of studies in inpatients were low. Other outcomes in this meta-analysis were not significant, including anthropometric parameters, body composition, cognition, biomarkers, and stress. Factors such as unhealthy lifestyle habits commonly observed in patients with schizophrenia [Reference Vancampfort, Firth, Correll, Solmi, Siskind and De Hert10] or medication (e.g., antipsychotics) [Reference Vancampfort, Rosenbaum, Schuch, Ward, Probst and Stubbs50] coupled with some schizophrenia manifestations such as apathy, lack of motivation, or cognitive deficits [Reference Vancampfort, Rosenbaum, Ward and Stubbs13] may partially account for these observations. Also, several studies have shown the lower levels of physical activity in people with schizophrenia compared with the general population [Reference Uggerby, Nielsen, Correll and Nielsen51], which may contribute to the observed lack of significant results in our study. Our results in cognition and stress contrast with previous findings [Reference Dauwan, Begemann, Slot, Lee, Scheltens and Sommer15, Reference Firth, Cotter, Elliott, French and Yung17, Reference Vera-Garcia, Mayoral-Cleries, Vancampfort, Stubbs and Cuesta-Vargas18], although we found the heterogeneity at study level (i.e., level 3) was high. However, none of the moderators tested was significant. Future meta-analysis may want to explore other moderators in a multilevel analytical framework to tear apart the effects of exercise on depression and cognition among patients with schizophrenia.
Our study has several important strengths. First, we used multilevel meta-analytic techniques, which allowed us to effectively account for the nested nature of effect sizes originated from the same studies, thereby reducing estimation bias [Reference Moeyaert, Ugille, Natasha Beretvas, Ferron, Bunuan and Van den Noortgate23]. Another key strength was that we explored important moderators relevant to clinical practice (i.e., clinical setting, type of exercise, comparison group, and the existence of post-intervention follow-up) which may help to inform the decision-making process of using exercise as co-adjuvant therapy in patients with schizophrenia. Lastly, we assessed several clinically relevant outcomes in the same context, which provides a comprehensive picture of the utility of exercise in this population group.
There are nevertheless some study limitations that need to be considered when interpreting the results. First, six of the studies included in our review were of low or very low quality. Nonetheless, the sensitivity analysis performed indicated results were robust to study quality assessment. Second, the heterogeneity in outcomes measures in the included studies prevented us from accurately determining clinically meaningful changes in this meta-analysis, which may limit the applicability of our results. Third, physical function and physical health biomarkers outcomes showed considerable heterogeneity at between-study level which was not fully explained by our moderators. Women were underrepresented in the included studies, which may limit the generalization of our results. Nonetheless, the prevalence of schizophrenia is lower among women [Reference Aleman, Kahn and Selten53, Reference McGrath, Saha, Chant and Welham54]. Moreover, the majority of studies described interventions based on aerobic exercise, which may have downplayed other promising exercise types such as resistance exercise or concurrent (i.e., combined aerobic and strength exercises). Lastly, several outcomes (i.e., body anthropometric and composition, ADL, cognitive function, physical function and stress and anxiety outcomes) were likely to be influenced by publication bias. Adherence to exercise is problematic in patients with schizophrenia [Reference Stubbs, Firth, Berry, Schuch, Rosenbaum and Gaughran52]. Future studies need to consider additional strategies to improve this aspect in order to fully realize the potential of exercise interventions in patients with schizophrenia [Reference Michie, Abraham, Whittington, McAteer and Gupta55, Reference French, Olander, Chisholm and Mc Sharry56].
In conclusion, our meta-analysis has provided robust evidence that supervised exercise is effective to improve the psychopathology of patients with schizophrenia. We demonstrated that exercise could also be useful to treat other relevant outcomes in this population group (i.e., quality of life, ADL, muscular strength, and physical function), which may help alleviate some of the most pressing issues associated with schizophrenia, such as the side effects of antipsychotics or the lack of adherence to medication. Outpatients seemed to have a greater benefit both in terms of quality of life and cardiorespiratory fitness, while inpatients showed greater improvements in their quality of life, with HIIT and aerobic exercise modalities presenting the greatest effects in this outcome. Together, our findings provide useful insights to inform the design of effective exercise interventions for patients with schizophrenia, which importantly contribute to build a solid evidence base for psychoeducation material that may facilitate the uptake of exercise in this population and related psychotic disorders. In light of the current evidence, clinicians and decision-makers should consider exercise as part of the clinical care pathway of patients with schizophrenia.
Supplementary material
The supplementary material for this article can be found at https://doi.org/10.1192/j.eurpsy.2023.24.
Data availability statement
All data required to reproduce the analyses included in this meta-analysis are provided through public repository access (https://github.com/dgalgom).
Author contribution
D.G.-G. contributed in the review design, data collection, analysis, interpretation and visualization, and in writing. M.N. helped in the review design, data analysis and interpretation, and in writing. B.P.C. and J.P.-C. contributed in the review design, data interpretation, and in writing. J.R.M., F.A.-B., and R.M.A.-R. helped in the review design, data collection and analysis, and in writing. All authors approved the final version of the manuscript.
Financial support
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Competing interest
The authors declare that they have no competing interests.
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