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Background:
Protocol

Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis Protocol

by
Falonn Contreras-Osorio
1,
Rodrigo Ramirez-Campillo
2,
Enrique Cerda-Vega
3,
Rodrigo Campos-Jara
4,
Cristian Martínez-Salazar
5,
Rafael E. Reigal
6,
Verónica Morales-Sanchez
6,
Sergio Araya Sierralta
7 and
Christian Campos-Jara
1,*
1
Exercise and Rehabilitation Sciences Institute, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
2
Exercise and Rehabilitation Sciences Institute, School of Physical Therapy, Faculty of Rehabilitation Sciences, Universidad Andres Bello, Santiago 7591538, Chile
3
Pedagogy in Physical Education and Health Career, Department of Health Science, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile
4
Servicio de Psiquiatría, Hospital Mauricio Heyermann, Angol 4650207, Chile
5
Departamento de Educación Física, Deportes y Recreación, Pedagogía en Educación Física, Facultad de Educación y Ciencias Sociales y Humanidades, Universidad de La Frontera, Temuco 4780000, Chile
6
Department of Social Psychology, Social Anthropology, Social Work and Social Services, University of Málaga, 29071 Málaga, Spain
7
Departamento de Educación Física, Universidad de Atacama, Copiapó 1532297, Chile
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(22), 15158; https://doi.org/10.3390/su142215158
Submission received: 20 October 2022 / Revised: 10 November 2022 / Accepted: 11 November 2022 / Published: 16 November 2022
(This article belongs to the Special Issue Sports Psychology and Performance)

Abstract

:
Physical exercise is a low-cost and easy-to-implement therapeutic option proposed to reduce the negative effect of depression on the executive function cognitive dimension, including working memory, inhibition, and cognitive flexibility. Although a considerable amount of scientific literature on the topic is currently available, the effects of physical exercise interventions on the executive functions in adults with depression remain unclear. The aim of this review protocol is to synthesize the effects of physical exercise interventions on executive functions in adults with depression. Databases including Web of Science, PubMed, Scopus, and EBSCO will be searched for studies by combining keywords and different medical subject headings to identify and evaluate the relevant studies from inception up to September 2022. This study will consider longitudinal studies (duration, ≥3 weeks) with a minimum of one experimental group and pre- and post-intervention measurements involving adults with depression aged 18–65 years. Studies will be included if these reported ≥1 measures of executive function, including dimensions of working memory, inhibition, and cognitive flexibility. The Physiotherapy Evidence Database (PEDro) scale will be used to assess the methodological quality of studies. The DerSimonian and Laird random-effects model will be used for meta-analyses, with effect size (ES, i.e., Hedges’ g) values reported with 95% confidence intervals (95% CIs), and p ≤ 0.05 will indicate statistical significance. The ES values will be calculated for working memory, inhibition, and cognitive flexibility in the experimental and control groups before and after the intervention program. Our results can help professionals and stakeholders in making better evidence-based decisions regarding the implementation of physical exercise programs in adults with depression and providing relevant information to facilitate the functional performance of this population in complex daily tasks where executive functions are essential. No ethical approval is required for this study. PROSPERO registration number: CRD42022358339.

1. Background

Depressive disorders, including major depressive disorder and dysthymia, are the most frequent mental health conditions reported among the general population according to the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, which provides a systematic scientific analysis of published data on the incidence, prevalence, and mortality of 369 diseases and injuries for 204 countries and territories. In 2019, it was estimated that 3440 persons per 100,000 (both women and men combined) had depressive disorders, the incidence being higher among women (4158 per 100,000) than men (2713 per 100,000) [1]. Moreover, depression increases the risk of other diseases compared to the general population (e.g., diabetes, metabolic syndrome, and cardiovascular diseases) [2,3,4,5], increasing the burden for both families and society [6,7,8,9]. The Global Burden of Disease Project estimated that depression will be among the top three causes of the burden of disease in 2030, based on global projections of economic and social development [10]. People with depression usually experience altered mood or loss of interest and pleasure, as well as low self-esteem, guilt, tiredness, sleep disturbances, and altered cognitive symptoms (e.g., processing speed, visual selective attention, verbal learning, long-term memory, and executive functioning) [11,12,13,14]. Depression is often chronic, and in these cases it is associated with higher levels of depressive symptoms, somatic symptoms, and cognitive dysfunction [12,15].
Several cognitive functions are compromised in the clinical course of depression, and cognitive deficits are a central characteristic in this pathology [12,13,14]. Rock et al. [13] demonstrated that approximately two thirds of patients with depression have cognitive deficits and that this persists in at least one third of subjects in whom mood-related symptoms have already ceased. Similarly, after remission from a depressive episode, deficits in selective attention, working memory, and long-term memory remain, with patients even experiencing detrimental effects with repeated episodes [12]. Therefore, the cognitive deficits in depression could manifest independently of other symptoms, even though it interacts with relevant emotional and social factors in order to contribute to individuals’ social functioning [16,17,18,19]. The executive function is among the most affected cognitive dimensions and stands out owing to its significant contribution to the psychosocial adaptation of individuals with depression. Even after remission, it influences occupational and relational performance, regardless of the clinical improvement of other types of symptoms [13,19,20].
Traditional antidepressant therapy focuses on the remission of mood-related symptoms without necessarily focusing on cognitive deficits [21]. This could provide insufficient tools for patients to achieve optimal functioning in highly demanding daily tasks occurring in a fluctuating environment, where it is important to make decisions or manage a large amount of information efficiently in order to meet objectives (e.g., academic or work environments) [20,22,23]. In this sense, physical exercise has been proposed as a low-cost and easy-to-implement therapeutic option for adults with depression to lower the functional impact of cognitive symptoms, and it can be applied as a single, adjuvant, or combined therapy [20,24,25]. The physiological mechanisms that have been described as those involved in such an effect include the expression of neurotransmitters, neurotrophic factors (e.g., Brain-Derived Neurotrophic Factor), synaptic plasticity, the modification of inflammatory pathways, the activation of hormonal mechanisms, and cerebrovascular function [26,27,28,29,30].
Exercise is a physical activity performed systematically according to a planned program to improve fitness and physical or health-related outcomes [31]. Clinical research on the effects of chronic exercise on the cognition of adults with depression has mainly used aerobic exercise training programs [32,33,34,35], but has also included strength training [36] or multicomponent training (coordination, endurance, and strength) [30]. The results of these studies show improvements in short-term memory [34,35], inhibitory control [33], processing speed [35,37], attention, verbal fluency, and cognitive flexibility [37] after implementing chronic exercise programs. However, other studies did not find improvements in cognitive measures when comparing physical exercise with a control condition in this population [36,38]. Hoffman et al. [38] explain that the lack of effect of their intervention program on the cognitive functioning of adults with depression could be explained by the lack of baseline cognitive impairment among participants, the diagnostic characteristics of depression (mild to moderate severity, non-recurring, early onset, and with good response to treatment), the relatively short duration of treatment (4 months in both studies), and a small percentage of improvement in the aerobic capacity of participants (6%). This may not have been enough to cause effects on cognitive functioning near the end of the intervention. However, Krogh et al. [36] suggest that the lack of significant effects of their 4-month training programs (strength training versus relaxation and aerobic training versus relaxation) on the cognitive abilities of adults with depression could be due to the following factors: possible antidepressant effect of the control condition, lack of patient and therapist blinding when allocating treatment, inclusion of participants who had received prior pharmacological treatment for more than 6 weeks, low participation in training programs (approximately 50%), low scheduled weekly frequency (twice a week), and possible initial absence of cognitive deficit among patients.
Previous systematic reviews assessed the effect of exercise on mood-related symptoms in participants with depression [39,40,41]. Additionally, previous studies included memory and attention as primary or secondary outcomes in their analyses [24,42]. However, only two meta-analyses reported the effects of physical exercise on cognitive function in adults with depression, including global cognition and different cognitive domains such as processing speed, attention/vigilance, verbal learning and memory, and visual learning and memory [22,43]. The cognitive domains chosen in both studies were categorized in accordance with the structure of the MATRICS Consensus Cognitive Battery (MCCB) [44]. This allows for comparing the results obtained from both reviews; however, it does not show results associated with the three main dimensions of executive function (that is, inhibition, working memory, and cognitive flexibility), which are especially relevant in the symptomatology and functional performance of this population [45,46,47,48]. The reviews mentioned above [22,43] also included interventional studies with a meditation component [49] in their meta-analyses, thus limiting the interpretation of their results in terms of the independent effect of physical exercise. Moreover, the increasing number of publications in this field will likely render any systematic review quickly outdated. Indeed, in rapidly emerging research fields, 25% of systematic reviews are obsolete within 2 years and 50% within 5 years [50]. Considering that the aforementioned reviews [22,43] were conducted in 2017, an update on the topic would be advisable.
Therefore, we aim to synthesize the currently available scientific literature related to the effects of physical exercise programs on executive functions in adults with depression, compared to a control condition, through a systematic review with meta-analysis protocol.

2. Methods

2.1. Research Question

Does physical exercise improve executive functions in adults with depression when compared to controls?

2.2. Review Strategy

Following international standards [51], a systematic search was performed in electronic databases (PubMed, Web of Science, EBSCO, and Scopus) without filters (e.g., sex) or date restriction up to September 2022. Medical subject headings (MeSH) and free-text terms were used to identify and evaluate relevant studies (Appendix A, Table A1). Additionally, the reference lists of included studies and identified reviews, will be manually searched for other potentially eligible trials. In the same databases, systematic reviews will be searched with the filters “systematic review” or “review” after the usual search strategy. Independent experts (n = 2) in executive functions will be consulted to review the list of included items and propose possible items for inclusion. The experts will be selected from the Expertscape rank for “Executive+function” that can be found in the link: https://www.expertscape.com/ex/executive+function (accessed on 21 September 2022).

2.3. Eligibility Criteria

Table 1 presents details regarding inclusion–exclusion criteria. Of note, to be included, studies should incorporate valid tools, such as the N-back task [52], the Stroop task [53] and the Trail Making Test-Part B [54].
According to previous studies, a minimum effective duration of 3 weeks was determined for the intervention programs [30,35]. The definition of exercise used corresponds to “a type of physical activity consisting of planned, structured, and repetitive bodily movement, aimed to improve and/or maintain one or multiple components of physical fitness” [55].

2.4. Data Management

Documents will be incorporated into a reference management software, with automatic deletion of repeated documents. Document’s titles and abstracts will be independently assessed for inclusion by two authors (F.C.-O. and C.C.-J.), and any interauthor discrepancies will be resolved by consensus with a third author (R.R.-C.).
Reference lists of included articles and reviews (those retrieved from original database search) will also be examined. A PRISMA flowchart [51] will be used to document the selection process and the reasons for exclusion where appropriate.

2.5. Data Extraction

One author (F.C.-O.) will complete the data extraction, which will then be verified by a second author (C.C.-J.). The data to be extracted from included studies are: year of publication, author, sample size, characteristics of the participants (sex, age, fitness level, psychiatric diagnosis, severity, comorbidities, and pharmacological treatment), description of the exercise training program, weekly frequency, intervention length (i.e., weeks), session length (i.e., minutes) and intensity, dimensions of the executive function assessed (i.e., working memory, inhibition, or cognitive flexibility), tasks used (for example, the Stroop test to assess inhibition), and control condition.
From the included studies, the means and standard deviation values from relevant outcomes will be extracted, considering pre- and post-intervention periods. The extracted data will be saved in a Microsoft Excel spreadsheet (Microsoft Corporation, Redmond, WA, USA). If the required data were not communicated in the includable study, contact protocols previously described will be followed [56,57] Two authors (F.C.-O. and C.C.-J.) will perform the data extraction independently, and a third author (R.R.-C.) will participate in case of conflicts between F.C.-O. and C.C.-J.

2.6. Risk of Bias (Quality) Assessment

Included studies will be assessed for their methodological quality with the Physiotherapy Evidence Database (PEDro) scale, as previously [58,59,60]. The methodological quality of studies shall be interpreted using the following convention [57,61,62,63]: ≤3 points—“poor” quality, 4–5 points— “moderate” quality, and 6–10 points— “high” quality. The methodological quality of included studies will be independently screened by two reviewers—F.C.-O. and C.C.-J.—and any disagreements between them will be resolved by consensus with a third reviewer (R.R.-C.).
Independently of their methodological quality, all studies that meet the inclusion criteria will be included in the review. Nevertheless, this aspect will be considered when interpreting and discussing the results.

2.7. Meta-Analyses

Following previous instructions [57], meta-analysis will be performed with ≥3 studies for each outcome [64,65]. Hedges’ g effect size (ES), with 95% confidence intervals [95% CIs] will be calculated for the main outcomes, according to the DerSimonian and Laird random-effects model, and categorized as trivial, small, moderate, large, very large, or extremely large (ES < 0.2, 0.2–0.6, >0.6–1.2, >1.2–2.0, >2.0–4.0, and >4.0, respectively) [66]. The I2 statistic will be used to categorize heterogeneity as low, moderate or high (<25%, 25–75%, and >75%, respectively) [67]. The risk of publication bias will be assessed only if ≥10 studies are available per outcome [68,69] using the extended Egger’s test [68], with adjustments according to the trim and fill method [70], with L0 as the default estimator for the number of missing studies [71]. All analyses will be performed using the Comprehensive Meta-Analysis software (version 2, Biostat, Englewood, NJ, USA). Statistical significance will be set at p ≤ 0.05.

Moderator Analyses

As the responses to exercise programs may be affected by intensity of exercise [22,32] and exercise duration per week [72], these factors will be considered as potential moderator variables between physical exercise and working memory, inhibition, and cognitive flexibility. Additionally, participants gender will be analysed as a potential moderator [73]. Further, baseline depression severity according to the criteria of a validated instrument (e.g., the Hamilton Depression Rating Scale) will be explored as a potential moderator [74]. When appropriate, analyses will be divided using the median split technique. The median will be calculated if at least three studies provide data for a given moderator. Of note, if two experimental groups with the same information for a given moderator are included in a study, only one of the groups will be considered in order to avoid an undue influence on the median calculation. In addition, to minimize heterogeneity, instead of using a global median value for a given moderator, median values will be calculated using only those studies that provide data for the outcome being analyzed.

3. Discussion

Our systematic review is aimed at clarifying the effects of chronic exercise programs on the executive function of adults with depression considering the potential of physical exercise interventions on the executive function of these patients and the considerable literature currently available on the subject. The results can aid professionals and stakeholders in making better evidence-based decisions regarding the implementation of physical exercise programs in adults with depression and providing relevant information to facilitate the functional performance of this population in complex daily tasks where executive functions are essential (e.g., workforce performance), even after the remission of other types of symptoms [75].
Furthermore, participating in activities that involve physical exercise promotes the maintenance and/or improvement of physical condition. It also influences quality of life and the reduction of health risks related to sedentary behaviors and low levels of physical activity [76,77]. In turn, it enhances executive functions, emotional health, and the capacity to respond to daily situations of high cognitive demand, such as university life or work [24,78,79].
Maintaining an active lifestyle and performing activities that favor social contact are excellent ways to develop the executive functions, since the person must manipulate new information, thus responding effectively to the contextual demands. Undoubtedly, motivating people with depression to break their routines and start new activities is challenging; however, it can be an opportunity for many of them to interact with others and to commit to new challenges.
The effects of chronic exercise interventions on working memory, inhibition, and cognitive flexibility will be analyzed. We will also discuss the limitations of this study and those found in the literature in detail in order to analyze the possible lines of research on this topic. Our systematic review will be focused on adults, excluding older adults (age ≥ 65 years), as the later may exhibit greater symptoms severity, time until remission, and risk of chronic symptoms [80]. The aforementioned differences usually are in line with differences in physiological markers [81], greater functional deterioration, and greater risk of cognitive deficit [82].
This review is expected to provide further clarification regarding the effects of physical exercise on the executive function of adults with depression through the moderator analyses of gender, baseline depression severity, exercise intensity and weekly exercise duration. Such clarification might help to improve the dose of exercise. The methodological assessment of included studies (and the reasons of exclusion from those not included) may provide an overview of quality aspects that researchers must consider to develop in future intervention projects. Finally, the results will be published in a peer-reviewed scientific journal and will be broadcast to various audiences so that adult patients with depression may benefit from this information, thus helping to improve their functional performance and quality of life.

Author Contributions

Conceptualization, F.C.-O., C.C.-J. and R.R.-C.; methodology, R.R.-C. and F.C.-O.; writing—original draft preparation, F.C.-O., C.C.-J., E.C.-V., R.C.-J. and R.R.-C.; writing—review and editing, F.C.-O., C.M.-S., R.E.R., V.M.-S., S.A.S. and R.R.-C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Ethical consent and approval not required for this systematic review.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors deny any conflict of interest.

Appendix A

Table A1. Specific Search Strategy for Each Database.
Table A1. Specific Search Strategy for Each Database.
DatabaseSearch Strategy
EBSCOTX (“executive functions” OR “cognitive function” OR cognition OR “inhibitory control” OR inhibition OR “working memory” OR “executive functioning” OR “cognitive flexibility”) AND TX (sport OR “modified sport” OR fitness OR exercise OR “physical activity” OR athletics OR “sport practice”) AND TX (depression OR “depressive disorder” OR “mood disorders” OR “major depressive disorder”)
PubMed(((((((((“executive function”[Title/Abstract]) OR (“cognitive function”[Title/Abstract])) OR (cognition)) OR (“inhibitory control”[Title/Abstract])) OR (inhibition[Title/Abstract])) OR (“working memory”[Title/Abstract])) OR (“executive functioning”[Title/Abstract])) OR (“cognitive flexibility”[Title/Abstract])) AND (((((((sport[Title/Abstract]) OR (“modified sport”[Title/Abstract])) OR (fitness[Title/Abstract])) OR (exercise[Title/Abstract])) OR (“physical activity”[Title/Abstract])) OR (athletics[Title/Abstract])) OR (“sport practice”[Title/Abstract]))) AND ((((depression[Title/Abstract]) OR (“depressive disorder”[Title/Abstract])) OR (“mood disorders”[Title/Abstract])) OR (“major depressive disorder”[Title/Abstract]))
Scopus((TITLE-ABS-KEY ( depression )) OR (TITLE-ABS-KEY (“depressive disorder”)) OR ( TITLE-ABS-KEY (“mood disorders”)) OR ( TITLE-ABS-KEY (“major depressive disorder”))) AND ((TITLE-ABS-KEY (sport)) OR (TITLE-ABS-KEY (“modified sport”)) OR (TITLE-ABS-KEY (fitness)) OR (TITLE-ABS-KEY (exercise)) OR (TITLE-ABS-KEY (“physical activity”)) OR (TITLE-ABS-KEY (athletics)) OR (TITLE-ABS-KEY (“sport practice”))) AND ((TITLE-ABS-KEY (“executive function”)) OR (TITLE-ABS-KEY (“cognitive function”)) OR (TITLE-ABS-KEY (cognition)) OR ( TITLE-ABS-KEY (“inhibitory control”)) OR (TITLE-ABS-KEY (inhibition)) OR (TITLE-ABS-KEY (“working memory”)) OR (TITLE-ABS-KEY (“executive functioning”)) OR (TITLE-ABS-KEY (“cognitive flexibility”)))
Web of Science((TS = (“executive function” OR “cognitive function” OR cognition OR “inhibitory control” OR inhibition OR “working memory” OR “executive functioning” OR “cognitive flexibility”)) AND TS = (sport OR “modified sport” OR fitness OR exercise OR “physical activity” OR athletics OR “sport practice”)) AND TS = (depression OR “depressive disorder” OR “mood disorders” OR “major depressive disorder”)

References

  1. GBD 2019 Diseases and Injuries Collaborators. Global Burden of 369 Diseases and Injuries in 204 Countries and Territories, 1990–2019: A Systematic Analysis for the Global Burden of Disease Study 2019. Lancet (Lond. Eng.) 2020, 396, 1204–1222. [Google Scholar] [CrossRef]
  2. Vancampfort, D.; Stubbs, B.; Mitchell, A.J.; De Hert, M.; Wampers, M.; Ward, P.B.; Rosenbaum, S.; Correll, C.U. Risk of Metabolic Syndrome and Its Components in People with Schizophrenia and Related Psychotic Disorders, Bipolar Disorder and Major Depressive Disorder: A Systematic Review and Meta-Analysis. World Psychiatry 2015, 14, 339–347. [Google Scholar] [CrossRef] [PubMed]
  3. Vancampfort, D.; Correll, C.U.; Galling, B.; Probst, M.; De Hert, M.; Ward, P.B.; Rosenbaum, S.; Gaughran, F.; Lally, J.; Stubbs, B. Diabetes Mellitus in People with Schizophrenia, Bipolar Disorder and Major Depressive Disorder: A Systematic Review and Large Scale Meta-Analysis. World Psychiatry 2016, 15, 166–174. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Correll, C.U.; Solmi, M.; Veronese, N.; Bortolato, B.; Rosson, S.; Santonastaso, P.; Thapa-Chhetri, N.; Fornaro, M.; Gallicchio, D.; Collantoni, E.; et al. Prevalence, Incidence and Mortality from Cardiovascular Disease in Patients with Pooled and Specific Severe Mental Illness: A Large-Scale Meta-Analysis of 3,211,768 Patients and 113,383,368 Controls. World Psychiatry 2017, 16, 163–180. [Google Scholar] [CrossRef] [Green Version]
  5. Croatto, G.; Vancampfort, D.; Miola, A.; Olivola, M.; Fiedorowicz, J.G.; Firth, J.; Alexinschi, O.; Gaina, M.A.; Makkai, V.; Soares, F.C.; et al. The Impact of Pharmacological and Non-Pharmacological Interventions on Physical Health Outcomes in People with Mood Disorders across the Lifespan: An Umbrella Review of the Evidence from Randomised Controlled Trials. Mol. Psychiatry 2022, 1–22. [Google Scholar] [CrossRef] [PubMed]
  6. Wittenborn, A.K.; Woods, S.B.; Priest, J.B.; Morgan, P.C.; Tseng, C.-F.; Huerta, P.; Edwards, C. Couple and Family Interventions for Depressive and Bipolar Disorders: Evidence Base Update (2010–2019). J. Marital Fam. Ther. 2022, 48, 129–153. [Google Scholar] [CrossRef] [PubMed]
  7. Stewart, W.F.; Ricci, J.A.; Chee, E.; Hahn, S.R.; Morganstein, D. Cost of Lost Productive Work Time among US Workers with Depression. JAMA 2003, 289, 3135–3144. [Google Scholar] [CrossRef] [Green Version]
  8. Keshavarz, K.; Hedayati, A.; Rezaei, M.; Goudarzi, Z.; Moghimi, E.; Rezaee, M.; Lotfi, F. Economic Burden of Major Depressive Disorder: A Case Study in Southern Iran. BMC Psychiatry 2022, 22, 577. [Google Scholar] [CrossRef]
  9. Kessler, R.C.; Merikangas, K.R.; Wang, P.S. Prevalence, Comorbidity, and Service Utilization for Mood Disorders in the United States at the Beginning of the Twenty-First Century. Annu. Rev. Clin. Psychol. 2007, 3, 137–158. [Google Scholar] [CrossRef]
  10. Mathers, C.D.; Loncar, D. Projections of Global Mortality and Burden of Disease from 2002 to 2030. PLoS Med. 2006, 3, e442. [Google Scholar] [CrossRef]
  11. Smith, K. Mental Health: A World of Depression. Nature 2014, 515, 181. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Semkovska, M.; Quinlivan, L.; Grady, T.O.; Johnson, R.; Collins, A.; Connor, J.O.; Knittle, H.; Ahern, E. Cognitive Function Following a Major Depressive Episode: A Systematic Review and Meta-Analysis. Lancet Psychiatry 2022, 6, 851–861. [Google Scholar] [CrossRef] [Green Version]
  13. Rock, P.L.; Roiser, J.P.; Riedel, W.J.; Blackwell, A.D. Cognitive Impairment in Depression: A Systematic Review and Meta-Analysis. Psychol. Med. 2014, 44, 2029–2040. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Henry, J.; Crawford, J.R. A Meta-Analytic Review of Verbal Fluency Deficits in Depression. J. Clin. Exp. Neuropsychol. 2005, 27, 78–101. [Google Scholar] [CrossRef]
  15. Stegenga, B.T.; Kamphuis, M.H.; King, M.; Nazareth, I.; Geerlings, M.I. The Natural Course and Outcome of Major Depressive Disorder in Primary Care: The PREDICT-NL Study. Soc. Psychiatry Psychiatr. Epidemiol. 2012, 47, 87–95. [Google Scholar] [CrossRef] [Green Version]
  16. Knight, M.J.; Air, T.; Baune, B.T. The Role of Cognitive Impairment in Psychosocial Functioning in Remitted Depression. J. Affect. Disord. 2018, 235, 129–134. [Google Scholar] [CrossRef]
  17. Mcintyre, R.S.; Soczynska, J.Z.; Woldeyohannes, H.O.; Alsuwaidan, M.T.; Cha, D.S.; Carvalho, A.F.; Jerrell, J.M.; Dale, R.M.; Gallaugher, L.A.; Muzina, D.J.; et al. ScienceDirect The Impact of Cognitive Impairment on Perceived Workforce Performance: Results from the International Mood Disorders Collaborative Project. Compr. Psychiatry 2015, 56, 279–282. [Google Scholar] [CrossRef]
  18. Baune, B.T.; Miller, R.; Mcafoose, J.; Johnson, M.; Quirk, F.; Mitchell, D. The Role of Cognitive Impairment in General Functioning in Major Depression. Psychiatry Res. 2010, 176, 183–189. [Google Scholar] [CrossRef]
  19. Bortolato, B.; Carvalho, A.F.; McIntyre, R.S. Cognitive Dysfunction in Major Depressive Disorder: A State-of-the-Art Clinical Review. CNS Neurol. Disord. Drug Targets 2014, 13, 1804–1818. [Google Scholar] [CrossRef]
  20. Zuckerman, H.; Pan, Z.; Park, C.; Brietzke, E.; Musial, N.; Shariq, A.S.; Iacobucci, M.; Yim, S.J.; Lui, L.M.W.; Rong, C.; et al. Recognition and Treatment of Cognitive Dysfunction in Major Depressive Disorder. Front. Psychiatry 2018, 9, 655. [Google Scholar] [CrossRef] [Green Version]
  21. Culpepper, L.; Lam, R.W.; McIntyre, R.S. Cognitive Impairment in Patients With Depression: Awareness, Assessment, and Management. J. Clin. Psychiatry 2017, 78, 1383–1394. [Google Scholar] [CrossRef] [PubMed]
  22. Sun, M.; Lanctot, K.; Herrmann, N.; Gallagher, D. Exercise for Cognitive Symptoms in Depression: A Systematic Review of Interventional Studies. Can. J. Psychiatry 2018, 63, 115–128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Guo, S.; Liu, F.; Shen, J.; Wei, M.; Yang, Y. Comparative Efficacy of Seven Exercise Interventions for Symptoms of Depression in College Students: A Network of Meta-Analysis. Medicine 2020, 99, e23058. [Google Scholar] [CrossRef] [PubMed]
  24. Xie, Y.; Wu, Z.; Sun, L.; Zhou, L.; Wang, G.; Xiao, L.; Wang, H. The Effects and Mechanisms of Exercise on the Treatment of Depression. Front. Psychiatry 2021, 12, 705559. [Google Scholar] [CrossRef] [PubMed]
  25. Knight, M.J.; Mills, N.T.; Baune, B.T. Contemporary Methods of Improving Cognitive Dysfunction in Clinical Depression. Expert Rev. Neurother. 2019, 19, 431–443. [Google Scholar] [CrossRef]
  26. Euteneuer, F.; Dannehl, K.; Del Rey, A.; Engler, H.; Schedlowski, M.; Rief, W. Immunological Effects of Behavioral Activation with Exercise in Major Depression: An Exploratory Randomized Controlled Trial. Transl. Psychiatry 2017, 7, e1132. [Google Scholar] [CrossRef] [Green Version]
  27. Micheli, L.; Ceccarelli, M.; D’Andrea, G.; Tirone, F. Depression and Adult Neurogenesis: Positive Effects of the Antidepressant Fluoxetine and of Physical Exercise. Brain Res. Bull. 2018, 143, 181–193. [Google Scholar] [CrossRef]
  28. Chen, C.; Nakagawa, S.; An, Y.; Ito, K.; Kitaichi, Y.; Kusumi, I. The Exercise-Glucocorticoid Paradox: How Exercise Is Beneficial to Cognition, Mood, and the Brain While Increasing Glucocorticoid Levels. Front. Neuroendocr. 2017, 44, 83–102. [Google Scholar] [CrossRef]
  29. Zhao, J.-L.; Jiang, W.-T.; Wang, X.; Cai, Z.-D.; Liu, Z.-H.; Liu, G.-R. Exercise, Brain Plasticity, and Depression. CNS Neurosci. Ther. 2020, 26, 885–895. [Google Scholar] [CrossRef]
  30. Brüchle, W.; Schwarzer, C.; Berns, C.; Scho, S.; Schneefeld, J.; Koester, D.; Schack, T.; Schneider, U.; Rosenkranz, K. Physical Activity Reduces Clinical Symptoms and Restores Neuroplasticity in Major Depression. Front. Psychiatry 2021, 12, 660642. [Google Scholar] [CrossRef]
  31. Caspersen, C.J.; Powell, K.E.; Christenson, G.M. Physical Activity, Exercise, and Physical Fitness: Definitions and Distinctions for Health-Related Research. Public Health Rep. 1985, 100, 126–131. [Google Scholar] [PubMed]
  32. Kubesch, S.; Bretschneider, V.; Freudenmann, R.; Weidenhammer, N.; Lehmann, M.; Spitzer, M.; Grön, G. Aerobic Endurance Exercise Improves Executive Functions in Depressed Patients. J. Clin. Psychiatry 2003, 64, 1005–1012. [Google Scholar] [CrossRef] [PubMed]
  33. Olson, R.L.; Brush, C.J.; Ehmann, P.J.; Alderman, B.L. A Randomized Trial of Aerobic Exercise on Cognitive Control in Major Depression. Clin. Neurophysiol. Off. J. Int. Fed. Clin. Neurophysiol. 2017, 128, 903–913. [Google Scholar] [CrossRef] [PubMed]
  34. Krogh, J.; Videbech, P.; Thomsen, C.; Gluud, C.; Nordentoft, M. DEMO-II Trial. Aerobic Exercise versus Stretching Exercise in Patients with Major Depression-a Randomised Clinical Trial. PLoS ONE 2012, 7, e48316. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Buschert, V.; Prochazka, D.; Bartl, H.; Diemer, J.; Malchow, B.; Zwanzger, P.; Brunnauer, A. Effects of Physical Activity on Cognitive Performance: A Controlled Clinical Study in Depressive Patients. Eur. Arch. Psychiatry Clin. Neurosci. 2019, 269, 555–563. [Google Scholar] [CrossRef]
  36. Krogh, J.; Saltin, B.; Gluud, C.; Nordentoft, M. The DEMO Trial: A Randomized, Parallel-Group, Observer-Blinded Clinical Trial of Strength versus Aerobic versus Relaxation Training for Patients with Mild to Moderate Depression. J. Clin. Psychiatry 2009, 70, 790–800. [Google Scholar] [CrossRef]
  37. Zhang, J.; Chen, T. Effect of Aerobic Exercise on Cognitive Function and Symptoms in Patients with Depression. Natl. Acad. Sci. Lett. 2019, 3–5. [Google Scholar] [CrossRef]
  38. Hoffman, B.M.; Blumenthal, J.A.; Babyak, M.A.; Smith, P.J.; Rogers, S.D.; Doraiswamy, P.M.; Sherwood, A. Exercise Fails to Improve Neurocognition in Depressed Middle-Aged and Older Adults. Med. Sci. Sport. Exerc. 2008, 40, 1344–1352. [Google Scholar] [CrossRef] [Green Version]
  39. Chen, C.; Shan, W. Pharmacological and Non-Pharmacological Treatments for Major Depressive Disorder in Adults: A Systematic Review and Network Meta-Analysis. Psychiatry Res. 2019, 281, 112595. [Google Scholar] [CrossRef]
  40. Carneiro, L.; Rosenbaum, S.; Ward, P.B.; Clemente, F.M.; Ramirez-Campillo, R.; Monteiro-Júnior, R.S.; Martins, A.; Afonso, J. Web-Based Exercise Interventions for Patients with Depressive and Anxiety Disorders: A Systematic Review of Randomized Controlled Trials. Rev. Bras. Psiquiatr. 2022, 44, 331–341. [Google Scholar] [CrossRef]
  41. Schuch, F.B.; Vancampfort, D.; Richards, J.; Rosenbaum, S.; Ward, P.B.; Stubbs, B. Exercise as a Treatment for Depression: A Meta-Analysis Adjusting for Publication Bias. J. Psychiatr. Res. 2016, 77, 42–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Carneiro, L.; Afonso, J.; Ramirez-Campillo, R.; Murawska-Ciałowciz, E.; Marques, A.; Clemente, F.M. The Effects of Exclusively Resistance Training-Based Supervised Programs in People with Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Int. J. Environ. Res. Public Health 2020, 17, 6715. [Google Scholar] [CrossRef] [PubMed]
  43. Brondino, N.; Rocchetti, M.; Fusar-Poli, L.; Codrons, E.; Correale, L.; Vandoni, M.; Barbui, C.; Politi, P. A Systematic Review of Cognitive Effects of Exercise in Depression. Acta Psychiatr. Scand. 2017, 135, 285–295. [Google Scholar] [CrossRef] [PubMed]
  44. Nuechterlein, K.H.; Green, M.F.; Kern, R.S.; Baade, L.E.; Barch, D.M.; Cohen, J.D.; Essock, S.; Fenton, W.S.; Frese, F.J., 3rd; Gold, J.M.; et al. The MATRICS Consensus Cognitive Battery, Part 1: Test Selection, Reliability, and Validity. Am. J. Psychiatry 2008, 165, 203–213. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Kriesche, D.; Woll, C.F.J.; Tschentscher, N.; Engel, R.R.; Karch, S. Neurocognitive Deficits in Depression: A Systematic Review of Cognitive Impairment in the Acute and Remitted State. Eur. Arch. Psychiatry Clin. Neurosci. 2022, 1–24. [Google Scholar] [CrossRef]
  46. Jaeger, J.; Berns, S.; Uzelac, S.; Davis-Conway, S. Neurocognitive Deficits and Disability in Major Depressive Disorder. Psychiatry Res. 2006, 145, 39–48. [Google Scholar] [CrossRef]
  47. Withall, A.; Harris, L.M.; Cumming, S.R. The Relationship between Cognitive Function and Clinical and Functional Outcomes in Major Depressive Disorder. Psychol. Med. 2009, 39, 393–402. [Google Scholar] [CrossRef]
  48. Fossati, P.; Ergis, A.M.; Allilaire, J.F. Executive functioning in unipolar depression: A review. L’encéphale 2002, 28, 97–107. [Google Scholar]
  49. Sharma, V.K.; Das, S.; Mondal, S.; Goswami, U.; Gandhi, A. Effect of Sahaj Yoga on Neuro-Cognitive Functions in Patients Suffering from Major Depression. Indian J. Physiol. Pharmacol. 2006, 50, 375–383. [Google Scholar]
  50. Shojania, K.G.; Sampson, M.; Ansari, M.T.; Ji, J.; Doucette, S.; Moher, D. How Quickly Do Systematic Reviews Go out of Date? A Survival Analysis. Ann. Intern. Med. 2007, 147, 224–233. [Google Scholar] [CrossRef] [Green Version]
  51. Page, M.J.; McKenzie, J.E.; Bossuyt, P.M.; Boutron, I.; Hoffmann, T.C.; Mulrow, C.D.; Shamseer, L.; Tetzlaff, J.M.; Akl, E.A.; Brennan, S.E.; et al. The PRISMA 2020 Statement: An Updated Guideline for Reporting Systematic Reviews. BMJ 2021, 372. [Google Scholar] [CrossRef]
  52. Frost, A.; Moussaoui, S.; Kaur, J.; Aziz, S.; Fukuda, K.; Niemeier, M. Is the N-Back Task a Measure of Unstructured Working Memory Capacity? Towards Understanding Its Connection to Other Working Memory Tasks. Acta Psychol. 2021, 219, 103398. [Google Scholar] [CrossRef] [PubMed]
  53. Barzykowski, K.; Wereszczyński, M.; Hajdas, S.; Radel, R. Cognitive Inhibition Behavioral Tasks in Online and Laboratory Settings: Data from Stroop, SART and Eriksen Flanker Tasks. Data Br. 2022, 43, 108398. [Google Scholar] [CrossRef] [PubMed]
  54. Suzuki, H.; Sakuma, N.; Kobayashi, M.; Ogawa, S.; Inagaki, H.; Edahiro, A.; Ura, C.; Sugiyama, M.; Miyamae, F.; Watanabe, Y.; et al. Normative Data of the Trail Making Test Among Urban Community-Dwelling Older Adults in Japan. Front. Aging Neurosci. 2022, 14, 832158. [Google Scholar] [CrossRef]
  55. Thompson, P.D.; Arena, R.; Riebe, D.; Pescatello, L.S. ACSM’s New Preparticipation Health Screening Recommendations from ACSM’s Guidelines for Exercise Testing and Prescription, Ninth Edition. Curr. Sports Med. Rep. 2013, 12, 215–217. [Google Scholar] [CrossRef]
  56. Drevon, D.; Fursa, S.R.; Malcolm, A.L. Intercoder Reliability and Validity of WebPlotDigitizer in Extracting Graphed Data. Behav. Modif. 2017, 41, 323–339. [Google Scholar] [CrossRef]
  57. Contreras-Osorio, F.; Ramirez-Campillo, R.; Cerda-Vega, E.; Campos-Jara, R.; Martínez-Salazar, C.; Arellano-Roco, C.; Campos-Jara, C. Effects of Sport-Based Interventions on Executive Function in Older Adults: A Systematic Review and Meta-Analysis Protocol. Brain Sci. 2022, 12, 1142. [Google Scholar] [CrossRef]
  58. de Morton, N.A. The PEDro Scale Is a Valid Measure of the Methodological Quality of Clinical Trials: A Demographic Study. Aust. J. Physiother. 2009, 55, 129–133. [Google Scholar] [CrossRef] [Green Version]
  59. Maher, C.G.; Sherrington, C.; Herbert, R.D.; Moseley, A.M.; Elkins, M. Reliability of the PEDro Scale for Rating Quality of Randomized Controlled Trials. Phys. Ther. 2003, 83, 713–721. [Google Scholar] [CrossRef] [Green Version]
  60. Yamato, T.P.; Maher, C.; Koes, B.; Moseley, A. The PEDro Scale Had Acceptably High Convergent Validity, Construct Validity, and Interrater Reliability in Evaluating Methodological Quality of Pharmaceutical Trials. J. Clin. Epidemiol. 2017, 86, 176–181. [Google Scholar] [CrossRef]
  61. Ramirez-Campillo, R.; Castillo, D.; Raya-González, J.; Moran, J.; de Villarreal, E.S.; Lloyd, R.S. Effects of Plyometric Jump Training on Jump and Sprint Performance in Young Male Soccer Players: A Systematic Review and Meta-Analysis. Sports Med. 2020, 50, 2125–2143. [Google Scholar] [CrossRef] [PubMed]
  62. Ramirez-Campillo, R.; Sánchez, J.; Romero-Moraleda, B.; Javier, Y.; García-Hermoso, A.; Clemente, F. Effects of Plyometric Jump Training in Female Soccer Player’s Vertical Jump Height: A Systematic Review with Meta-Analysis. J. Sports Sci. 2020, 38, 1475–1487. [Google Scholar] [CrossRef] [PubMed]
  63. Stojanović, E.; Ristić, V.; McMaster, D.T.; Milanović, Z. Effect of Plyometric Training on Vertical Jump Performance in Female Athletes: A Systematic Review and Meta-Analysis. Sports Med. 2017, 47, 975–986. [Google Scholar] [CrossRef] [PubMed]
  64. García-Hermoso, A.; Ramírez-Campillo, R.; Izquierdo, M. Is Muscular Fitness Associated with Future Health Benefits in Children and Adolescents? A Systematic Review and Meta-Analysis of Longitudinal Studies. Sports Med. 2019, 49, 1079–1094. [Google Scholar] [CrossRef] [PubMed]
  65. Moran, J.; Ramirez-Campillo, R.; Granacher, U. Effects of Jumping Exercise on Muscular Power in Older Adults: A Meta-Analysis. Sports Med. 2018, 48, 2843–2857. [Google Scholar] [CrossRef]
  66. Hopkins, W.G.; Marshall, S.W.; Batterham, A.M.; Hanin, J. Progressive Statistics for Studies in Sports Medicine and Exercise Science. Med. Sci. Sports Exerc. 2009, 41, 3–13. [Google Scholar] [CrossRef] [Green Version]
  67. Higgins, J.P.T.; Thompson, S.G. Quantifying Heterogeneity in a Meta-Analysis. Stat. Med. 2002, 21, 1539–1558. [Google Scholar] [CrossRef]
  68. Egger, M.; Davey Smith, G.; Schneider, M.; Minder, C. Bias in Meta-Analysis Detected by a Simple, Graphical Test. BMJ 1997, 315, 629–634. [Google Scholar] [CrossRef] [Green Version]
  69. Sterne, J.A.C.; Sutton, A.J.; Ioannidis, J.P.A.; Terrin, N.; Jones, D.R.; Lau, J.; Carpenter, J.; Rücker, G.; Harbord, R.M.; Schmid, C.H.; et al. Recommendations for Examining and Interpreting Funnel Plot Asymmetry in Meta-Analyses of Randomised Controlled Trials. BMJ 2011, 343, d4002. [Google Scholar] [CrossRef] [Green Version]
  70. Duval, S.; Tweedie, R. Trim and Fill: A Simple Funnel-Plot-Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis. Biometrics 2000, 56, 455–463. [Google Scholar] [CrossRef]
  71. Shi, L.; Lin, L. The Trim-and-Fill Method for Publication Bias: Practical Guidelines and Recommendations Based on a Large Database of Meta-Analyses. Medicine 2019, 98, e15987. [Google Scholar] [CrossRef] [PubMed]
  72. Greer, T.L.; Grannemann, B.D.; Chansard, M.; Karim, A.I.; Trivedi, M.H. Dose-Dependent Changes in Cognitive Function with Exercise Augmentation for Major Depression: Results from the TREAD Study. Eur. Neuropsychopharmacol. 2015, 25, 248–256. [Google Scholar] [CrossRef] [PubMed]
  73. Perchtold, C.M.; Papousek, I.; Fink, A.; Weber, H.; Rominger, C.; Weiss, E.M. Gender Differences in Generating Cognitive Reappraisals for Threatening Situations: Reappraisal Capacity Shields Against Depressive Symptoms in Men, but Not Women. Front. Psychol. 2019, 10, 553. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Furukawa, T.A.; Weitz, E.S.; Tanaka, S.; Hollon, S.D.; Hofmann, S.G.; Andersson, G.; Twisk, J.; DeRubeis, R.J.; Dimidjian, S.; Hegerl, U.; et al. Initial Severity of Depression and Efficacy of Cognitive-Behavioural Therapy: Individual-Participant Data Meta-Analysis of Pill-Placebo-Controlled Trials. Br. J. Psychiatry 2017, 210, 190–196. [Google Scholar] [CrossRef] [Green Version]
  75. McIntyre, R.S.; Cha, D.S.; Soczynska, J.K.; Woldeyohannes, H.O.; Gallaugher, L.A.; Kudlow, P.; Alsuwaidan, M.; Baskaran, A. Cognitive Deficits and Functional Outcomes in Major Depressive Disorder: Determinants, Substrates, and Treatment Interventions. Depress. Anxiety 2013, 30, 515–527. [Google Scholar] [CrossRef]
  76. Marcos, A.; Moura, D.S.; Lamego, M.K.; Paes, F.; Barbosa, N.; Rocha, F. Comparison Among Aerobic Exercise and Other Types of Interventions to Treat Depression: A Systematic Review Comparison Among Aerobic Exercise and Other Types of Interventions to Treat Depression: A Systematic Review. CNS Neurol. Disord. Drug. Targets 2015, 14, 1171–1183. [Google Scholar] [CrossRef] [Green Version]
  77. Knöchel, C.; Oertel-Knöchel, V.; O’Dwyer, L.; Prvulovic, D.; Alves, G.; Kollmann, B.; Hampel, H. Cognitive and Behavioural Effects of Physical Exercise in Psychiatric Patients. Prog. Neurobiol. 2012, 96, 46–68. [Google Scholar] [CrossRef]
  78. Nieuwenhuijsen, K.; Verbeek, J.H.; Neumeyer-Gromen, A.; Verhoeven, A.C.; Bültmann, U.; Faber, B. Interventions to Improve Return to Work in Depressed People. Cochrane Database Syst. Rev. 2020, 10, CD006237. [Google Scholar] [CrossRef]
  79. Kaldo, V.; Lundin, A.; Hallgren, M.; Kraepelien, M.; Strid, C.; Ekblom, Ö.; Lavebratt, C.; Lindefors, N.; Öjehagen, A.; Forsell, Y. Effects of Internet-Based Cognitive Behavioural Therapy and Physical Exercise on Sick Leave and Employment in Primary Care Patients with Depression: Two Subgroup Analyses. Occup. Environ. Med. 2018, 75, 52–58. [Google Scholar] [CrossRef]
  80. Schaakxs, R.; Comijs, H.C.; Lamers, F.; Kok, R.M.; Beekman, A.T.F.; Penninx, B.W.J.H. Associations between Age and the Course of Major Depressive Disorder: A 2-Year Longitudinal Cohort Study. Lancet Psychiatry 2018, 5, 581–590. [Google Scholar] [CrossRef]
  81. Mutz, J.; Lewis, C. Depression and Age-Related Changes in Body Composition, Cardiovascular Function, Grip Strength, and Lung Function. Innov. Aging 2021, 5, 440. [Google Scholar] [CrossRef]
  82. Kim, D.; Kiss, A.; Bronskill, S.E.; Lanctôt, K.L.; Herrmann, N.; Gallagher, D. Association between Depression, Gender and Alzheimer’s Neuropathology in Older Adults without Dementia. Int. J. Geriatr. Psychiatry 2022, 37. [Google Scholar] [CrossRef] [PubMed]
Table 1. Eligibility Criteria.
Table 1. Eligibility Criteria.
InclusionExclusion
PopulationParticipants aged 18–65 years diagnosed with major depression or unipolar depression according to the criteria of a validated instrument, such as the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV), or the International Classification of Diseases 10th Revision (ICD-10).Children, adolescents, or older adults.
Presence of another primary neurological or psychiatric diagnosis (e.g., dysthymia, bipolar disorder, dementia, or schizophrenia).
Medical comorbidities limiting participation in physical exercise activities (e.g., significant musculoskeletal difficulties, or cardiorespiratory disorders). Active alcohol or drug abuse or dependence. Pregnant or lactating women. Intellectual disability.
InterventionPhysical exercise (≥3 weeks) applied as independent therapy or therapy complementary to pharmacological treatment. Interventions should include aerobic training or strength training or programs that combine different types of exercises (e.g., endurance, coordination, or strength training).Acute exercise (i.e., a single bout of exercise).
Chronic exercise intervention programs combined with meditation.
Interventions not related to physical exercise.
ComparatorA group made up of adults diagnosed with depression not exposed to physical exercise intervention. The control condition may be active (e.g., relaxation techniques) or passive (e.g., placebo).No comparator.
OutcomeWorking memory, inhibition, or cognitive flexibility, assessed with valid direct techniques before and after intervention.Executive functions measured indirectly (e.g., questionary).
Study designControlled studies.Cross-sectional studies.
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MDPI and ACS Style

Contreras-Osorio, F.; Ramirez-Campillo, R.; Cerda-Vega, E.; Campos-Jara, R.; Martínez-Salazar, C.; Reigal, R.E.; Morales-Sanchez, V.; Araya Sierralta, S.; Campos-Jara, C. Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis Protocol. Sustainability 2022, 14, 15158. https://doi.org/10.3390/su142215158

AMA Style

Contreras-Osorio F, Ramirez-Campillo R, Cerda-Vega E, Campos-Jara R, Martínez-Salazar C, Reigal RE, Morales-Sanchez V, Araya Sierralta S, Campos-Jara C. Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis Protocol. Sustainability. 2022; 14(22):15158. https://doi.org/10.3390/su142215158

Chicago/Turabian Style

Contreras-Osorio, Falonn, Rodrigo Ramirez-Campillo, Enrique Cerda-Vega, Rodrigo Campos-Jara, Cristian Martínez-Salazar, Rafael E. Reigal, Verónica Morales-Sanchez, Sergio Araya Sierralta, and Christian Campos-Jara. 2022. "Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis Protocol" Sustainability 14, no. 22: 15158. https://doi.org/10.3390/su142215158

APA Style

Contreras-Osorio, F., Ramirez-Campillo, R., Cerda-Vega, E., Campos-Jara, R., Martínez-Salazar, C., Reigal, R. E., Morales-Sanchez, V., Araya Sierralta, S., & Campos-Jara, C. (2022). Effects of Physical Exercise on Executive Function in Adults with Depression: A Systematic Review and Meta-Analysis Protocol. Sustainability, 14(22), 15158. https://doi.org/10.3390/su142215158

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