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Protocol

Effects of Sport-Based Interventions on Executive Function in Older Adults: 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,
Cristián Arellano-Roco
2 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 de Chile 7820436, Chile
4
Hospital Mauricio Heyermann, Servicio de Psiquiatría, 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
*
Author to whom correspondence should be addressed.
Brain Sci. 2022, 12(9), 1142; https://doi.org/10.3390/brainsci12091142
Submission received: 7 August 2022 / Revised: 24 August 2022 / Accepted: 25 August 2022 / Published: 27 August 2022
(This article belongs to the Section Sensory and Motor Neuroscience)

Abstract

:
Background: Moderate-to-vigorous intensity exercise programs have proven to exert positive effects on the cognitive performance of older people. However, the specific effects sport-based exercise programs have on cognitive performance, upon executive functions, remain unclear. Therefore, the purpose of this study is to clarify the effects of sport-based exercise programs on executive functions in older adults, through a systematic review protocol of the scientific literature, with a meta-analysis. Methods: The search was performed in the Web of Science, PubMed, Scopus, and EBSCO electronic databases by combining keywords and different medical subject headings (MeSH) to identify and evaluate the relevant studies from inception up until June 2022. This study considers longitudinal studies with at least one experimental group and pre- and post-intervention measurements involving healthy older adults of 60 years of age or older. Studies have to consider one or more measures of executive function, including dimensions of working memory, inhibition, and cognitive flexibility, in order to meet the eligibility criteria for inclusion in this report. The Physiotherapy Evidence Database (PEDro) scale was used for methodological quality assessment studies. The DerSimonian and Laird random-effects model was used to compute the meta-analyses and report effect sizes (ES, i.e., Hedges’ g) with 95% confidence intervals (95% CIs), and a statistical significance set at p ≤ 0.05. The ES values were calculated for executive function globally and for each dimension of executive function (e.g., working memory, inhibition, cognitive flexibility) in the experimental and control/comparator groups using the mean and standard deviation values before and after the intervention period. Conclusions: Our systematic review aims to clarify the effects of sport-based exercise programs on executive functions in older adults. The results may help practitioners and stakeholders to provide better evidence-based decisions regarding sport-based exercise program implementation for older adults, and to help them to optimize cognitive functions during the aging process. Ethical permission is not required for this study. Systematic review registration: this systematic review is registered with the International Prospective Register of Systematic Reviews (PROSPERO; registration number: CRD42022284788).

1. Background

Executive functions are a set of mental processes that allow thoughts and actions to be regulated during goal-directed behavior, and are responsible for the monitoring and control of those mechanisms that mediate the use of information [1]. Consensus exists on their classification into three central dimensions as follows: inhibition, working memory, and cognitive flexibility [2,3]. On this basis, other higher-order executive functions are organized, such as reasoning, problem solving, and planning [4]. Inhibition allows us to control attention, behavior, thoughts, and/or emotions in order to override a strong internal predisposition to follow impulses, give conditioned responses, or act under the control of environmental stimuli, overcoming distraction or interference from irrelevant information arising from the environment or memory [1,5]. Working memory enables the retention of information in the mind and helps perform cognitive operations using the retained information, thereby manipulating verbal or non-verbal (visual–spatial) content [6]. Cognitive flexibility refers to the ability to appropriately and efficiently adapt our behavior in response to changes in the environment [7]. These skills are important in many aspects of an older adult’s life, including mental and physical health, social development, and maintaining functional autonomy [8,9,10].
Executive functions are associated from an early age with physical activity [11,12,13,14,15] and, particularly, with the practice of sports [16,17,18,19,20]. Such a relationship has also been evidenced in older people, and associations have been reported between complex motor tasks and executive functioning [21]. In fact, some research suggests that older adults use a higher-order set of cognitive skills, such as executive functions, to help execute complex motor tasks, given that motor control may become less automated with age [22,23,24]. However, it is necessary to consider that both cognitive and motor skills undergo changes during this stage of life [25,26], which necessitates the implementation of strategies that enable an individual to cope with normal functional decline [27,28].
Physical exercise is described as an intervention that can provide cognitive benefits for maintaining brain health among older adults [29,30,31,32,33]. The evidence points out that chronic (extending over weeks, months, or years) moderate-to-vigorous intensity (50–75% heart rate reserve) [34] exercise programs elicit favorable effects on cognitive performance in cognitively-normal older adults [35]. This can vary based on aspects such as sex and on the cognitive modality assessed, with larger effects being observed in those measures associated with the executive function and in studies with a higher percentage of women [35,36,37,38]. The moderating effect of sex, however, has not been evidenced in other studies investigating the effects of physical training on executive function and possible underlying moderators in cognitively normal older adults and those with mild cognitive impairment [39,40]. The mechanisms that have been described to mediate such an effect include the influence that prolonged exercise has on the expression of neurotransmitters, neurotrophic factors, synaptic plasticity, the modification of inflammatory pathways, and cerebrovascular function [35,41,42].
The types of exercise typically employed in chronic intervention programs among the elderly include aerobics, resistance training, mind–body exercise, and multimodal exercise (combining aerobic exercise and resistance training, among others), which have been followed up by systematic reviews and meta-analyses that investigated the specific effects of these modalities on executive functions [40,43,44]. In this regard, Zhidong et al. [43] proved that the type of exercise can act as a moderator on the effect found on executive functions among older people. Xiong et al. [44] reported that >13 weeks of aerobic exercise significantly improves working memory performance and cognitive flexibility in cognitively healthy older adults, whereas interventions of >26 weeks, significantly improved inhibition. Training programs using mind–body exercises have revealed the presence of significant positive effects on working memory performance and cognitive flexibility, which have been observed to increase when there is a higher frequency of group practice and additional practice at home (more or equal to five times a week) [40,44]. However, some limitations from previous reviews and meta-analyses have been proclaimed, which should be considered in future research, such as the search limitation (in terms of the year of publication of the studies included, or the language), and the consideration of a limited number of measures for the main dimensions of the executive functions (working memory, inhibition, and cognitive flexibility), which can generate a potential bias in the results obtained [39,43].
In terms of its benefits on executive function in older people, a type of intervention that has not been specifically assessed in previous reviews thus far are those which are structured upon a sport modality, such as combat sports (taekwondo or karate) [45,46,47,48,49], individual sports (swimming, table tennis, golf, or Nordic walking) [50,51,52,53,54], or adapted team sports, such as walking football [55]. Pacheco et al. [45] studied the effectiveness of Karate-Do training on cognition among healthy older adults, revealing significant improvements in visual memory and cognitive flexibility after a 12 week intervention period. However, Cho and Roh [46], assessed the effects of regular taekwondo training for 16 weeks on physical fitness, neurotrophic growth factors, cerebral blood flow velocity, and cognitive function among healthy elderly women, revealing the presence of a significant increase in inhibitory control performance after the period of intervention, which could be attributable to increased levels of neurotrophic growth factor.
While physical activity involves movements producing an increase in energy expenditure (due to increased skeletal muscle activity) above resting conditions, exercise (physical exercise) usually entails specific movement patterns performed systematically over a planned schedule to achieve a desired aim in line with improvement of fitness and health-related outcomes [56]. Regarding sport-based activities, these involve movements with defined goals, containing explicit formal rules, and structured relationships between participants–athletes [57]. Sport is particularly fundamental as it meets a series of conditions that allow for the enhancement of the executive functions of those who practice it, incorporating complex, controlled, and varied movements, which in turn demand various degrees of adaptation to the environmental requirements [58,59,60,61]. In addition, learning in sports is attractive and favors the progressive achievement of aims, thereby promoting emotional and social development, especially when its practice involves contact with other people or being part of a team [62,63,64,65]. The aforementioned aspects could bring sport closer to simultaneous exercise–cognitive training, considering that studies analyzing the effects of aerobic training combined with cognitive challenges are associated with cognitive improvements in healthy older adults, especially regarding executive function, which can prolong functional autonomy among older adults [66,67,68].
Therefore, we present this protocol to collect, in a systematic manner, as much scientific evidence as possible, and to analyze the effects of sport-based interventions on the main dimensions of executive functions in healthy older adults.

2. Materials and Analysis

2.1. Review Question

What are the effects of sport-based interventions, compared with an active or passive control condition, on the main dimensions of the executive functions in healthy older adults?

2.2. Search Strategy

This protocol was prepared pursuant to the guidelines established by Preferred Reporting Items for Systematic reviews and Meta-Analysis Protocols (PRISMA-P) [69].
The following electronic databases were used: Web of Science, PubMed, Scopus, and EBSCO through a combination of different medical subject headings (MeSH) or synonyms aimed at identifying and assessing relevant studies from inception to June 2022, using no filters or limits to conduct the search (for example, regarding language or publication date). To visualize the specific search strategy in each database, see Appendix A.
Additionally, reference lists of previous reviews and all trials included were manually searched to identify potentially eligible studies. Systematic reviews were searched for in the same databases with the filters (or terms) “systematic review” OR “reviews” after the regular search strategy. We consulted two external experts in executive functions (who have a PhD and publications in indexed journals) to check the inclusion list of articles and to identify possible articles that could be missing in the list. The experts were included based on Expertscape rank for “Executive + function” which can be found in the link: https://www.expertscape.com/ex/executive+function (accessed on 22 July 2022).

2.3. Eligibility Criteria

The eligibility criteria were defined based on PICOS, a summary of which is presented in Table 1.
Studies published as original articles in peer-review journals were selected. The studies had to be available in full text and contain enough data to calculate effect sizes (ES).
Eligible studies were required to report pre–post intervention change for one or more measures associated with the executive functions of working memory, inhibition, or cognitive flexibility. These tasks must be directly applied to the participants through validated instruments for the respective population. Some examples of tasks that the studies include are the N-back task [70] to evaluate working memory, Stroop task [71] to assess inhibition, and the Trail Making Test—Part B [72] to measure cognitive flexibility.
Eligible studies include chronic intervention programs based on a sport with a minimum duration of 4 weeks. According to previous studies [45,46,47,49,50,51], 4 weeks is probably the minimal effective dose (for duration) for executive function adaptations in older adults after a physical exercise program.

2.4. Data Management

Articles were imported into a reference management system where duplicates were removed.
Two independent authors (FCO and CCJ) examined the titles and abstracts of the articles found in the databases, applying the inclusion criteria using yes and no instructions. If discrepancies arose between the authors, the assessment was discussed with a third author (RRC), who collaborated with them to reach a consensus.
The bibliography of other previous reviews and of the studies finally selected were reviewed following the same process described above to identify possible new studies that met the inclusion criteria. A PRISMA flowchart was used [69] to document the selection process, in addition to the reasons for exclusion, when applicable.

2.5. Data Extraction

One reviewer (FCO) independently completed the data extraction, which was verified by a second reviewer (CCJ), regarding the following aspects: author, year of publication, sample size, characteristics of the participants (sex, age, years of schooling and sports experience), description of the sports training program (structure or stages), sport, intervention length, weekly frequency, session length and intensity, control condition, dimensions of the executive function assessed, tasks used, reported reliability indices, and description of the measurement protocol used in each study.
The means and standard deviation of the dependent variables just before and after the sport-based interventions of the studies included were extracted using Microsoft Excel (Microsoft Corporation, Redmond, WA, USA). If the required data were not communicated in a clear or complete manner, the authors of the respective study were contacted for clarification. If no response was obtained from the authors (after two attempts within a 2 week period) or they were unable to provide the requested data, the study result was excluded from the analysis. In cases where data were presented in a figure and the authors did not provide numerical data after being contacted, a validated software was used (r = 0.99, p < 0.001) [73] (WebPlotDigitizer, version 4.5, Pacifica, CA, USA; https://apps.automeris.io/wpd/) (accessed on 29 July 2022) to derive the numerical data of the figures by two independent authors (FCO and CCJ), after which Cronbach’s Alpha was calculated. Two authors (FCO and CCJ) performed the data extraction independently, and any interauthor discrepancies (e.g., mean value for a given outcome, number of participants in a group) were resolved by consensus with a third author (RRC).

2.6. Risk of Bias (Quality) Assessment

The Physiotherapy Evidence Database (PEDro) scale was used to assess the methodological quality of the studies included, which was rated from 0 (lowest quality) to 10 (highest quality). Validity and reliability of the PEDro scale has been determined previously [74,75,76]. In studies, its items mostly assess factors related to the risk of bias. Accordingly, it helps to make comparisons between meta-analyses. The methodological quality of studies was interpreted using the following convention [77,78,79]: ≤3 points were considered “poor” quality, 4–5 points were considered as “moderate” quality, and 6–10 points were considered “high” quality. For trials which were already rated and listed in the PEDro database, the respective scores were adopted. Two authors (FCO and CCJ) assessed the methodological quality for each study included independently, and any discrepancies between them were resolved via consensus with a third author (RRC).
All studies meeting the inclusion criteria were included in the review, regardless of their methodological quality. However, this aspect was considered in the interpretation and discussion of the results.

2.7. Strategy for Data Synthesis

Although meta-analyses can be performed with as few as two studies [80], because reduced sample sizes are common in sport-science literature [81], meta-analysis was only conducted when >3 studies were available [82,83]. Effect sizes (ES, i.e., Hedges’ g) were calculated for executive function globally and using the mean and standard deviation before and after the intervention period for each dimension of executive function in the experimental and control/comparator groups. If studies reported data other than mean and/or standard deviation values, appropriate statistical conversion was performed before the meta-analysis. Data was standardized using post-intervention standard deviation values. The DerSimonian and Laird random-effects model was used to account for those differences identified between the studies that might affect the intervention effect [84]. The ES values were presented with 95% confidence intervals (95% CIs). Calculated ES was interpreted using the following scale: <0.2 trivial, 0.2–0.6 small, >0.6–1.2 moderate, >1.2–2.0 large, >2.0–4.0 very large, >4.0 extremely large [85]. In studies involving more than one intervention group, the sample size in the control group was divided proportionally to facilitate comparisons between the multiple groups [86]. The level of heterogeneity was assessed using the I² statistic, with values of <25%, 25–75%, and >75% representing low, moderate, and high levels of heterogeneity, respectively [86]. The risk of publication bias was explored for continuous variables (≥10 studies per outcome) [87,88] using the extended Egger’s test [87]. To adjust for publication bias, a sensitivity analysis was conducted using the trim and fill method [89], with L0 as the default estimator for the number of missing studies [90]. All analyses were performed using the Comprehensive Meta-Analysis software (version 2, Biostat, Englewood, NJ, USA). Statistical significance was set at p ≤ 0.05.

3. Discussion

Previous systematic reviews focused on aerobic-based or coordination-based exercise interventions and their effect in older adults’ executive function [39,43,44]. However, given the potential of sport-based exercise interventions in older adults’ executive function and the considerable literature currently available on the topic, our systematic review aims to clarify the effects of sport-based exercise programs on the executive function of older adults. Results may help practitioners and stakeholders to provide better evidence-based decisions regarding sport-based exercise programs implementation in older adults, and to help them to optimize cognitive functions during the aging process.
Participation in sports activities is an opportunity to improve physical condition and enhance executive functions in an attractive way for older people as long as the activities respond to their interests and special importance is given to the safety of the participants (for example, considering a previous medical evaluation), avoiding possible sports injuries, or adverse effects.
It is necessary to consider that learning new skills is an excellent tool for developing executive functions, as the person must attend to and manipulate new information, responding efficiently to the requirements of the environment, while favoring social relations. It is undoubtedly a challenge to motivate older people to break their routines and start new activities, but for many of them it could be an opportunity to resume a sport practiced at another stage of life and an instance that allows them to commit to new challenges.
Final conclusions can be drawn with regards to the effects of sport-based programs on each of the main executive functions analyzed: working memory, inhibition, and cognitive flexibility. Limitations that emerge from this study are discussed in detail and possible lines of research on this subject have been considered.
The methodological analysis of the studies included contribute to research in this field due to ascertaining aspects that require improvements in future studies. Finally, the results obtained are disseminated to various audiences with the aim of benefiting older people with this information and thus contributing to their improved 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., C.A.-R. and R.R.-C.; supervision, 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.

Acknowledgments

No support to declare.

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.
DatabaseSpecificities of the DatabaseSearch Strategy
EBSCO EBSCO does not allow combinations of title and abstract. To avoid multiple internal combinations, we decided to use a more open search strategy in this database, with all code lines being open to “All text”.TX (“executive functions” OR “cognitive functions” OR cognition OR “inhibitory control” OR inhibition OR “working memory” OR shifting OR “cognitive flexibility”) AND TX (sports OR “modified sport” OR exercise OR “physical activity” OR athletics OR “sport practice”) AND TX (“older adults” OR aging OR elderly OR aged OR “older people”)
PubMedNothing to report.((“executive functions” [Title/Abstract] OR “cognitive functions” [Title/Abstract] OR cognition [Title/Abstract] OR “inhibitory control” [Title/Abstract] OR inhibition [Title/Abstract] OR “working memory” [Title/Abstract] OR shifting [Title/Abstract] OR “cognitive flexibility” [Title/Abstract]) AND (sports [Title/Abstract] OR “modified sport” [Title/Abstract] OR exercise [Title/Abstract] OR “physical activity” [Title/Abstract] OR athletics [Title/Abstract] OR “sport practice” [Title/Abstract])) AND (“older adults” [Title/Abstract] OR aging [Title/Abstract] OR elderly [Title/Abstract] OR aged [Title/Abstract] OR “older people” [Title/Abstract])
ScopusIn Scopus, the search for title or abstract also includes keywords.TITLE-ABS-KEY (“executive functions” OR “cognitive functions” OR cognition OR “inhibitory control” OR inhibition OR “working memory” OR shifting OR “cognitive flexibility”) AND TITLE-ABS-KEY (sports OR “modified sport” OR exercise OR “physical activity” OR athletics OR “sport practice”) AND TITLE-ABS-KEY (“older adults” OR aging OR elderly OR aged OR “older people”)
Web of ScienceIn Web of Science, the search for title or abstract also includes keywords, and is termed “topic”.((TS = (“executive functions” OR “cognitive functions” OR cognition OR “inhibitory control” OR inhibition OR “working memory” OR shifting OR “cognitive flexibility”)) AND TS = (sports OR “modified sport” OR exercise OR “physical activity” OR athletics OR “sport practice”)) AND TS = (“older adults” OR aging OR elderly OR aged OR “older people”)
https://www.webofscience.com/wos/woscc/summary/1e82b09c-85e7-4c70-92d9-60af5b107fd0-48df71c9/relevance/1 (accessed on 1 July 2022)

References

  1. Friedman, N.; Miyake, A. Unity and Diversity of Executive Functions: Individual Differences as a Window on Cognitive Structure. Cortex 2017, 86, 186–204. [Google Scholar] [CrossRef] [PubMed]
  2. Lehto, J.; Juujärvi, P.; Kooistra, L.; Pulkkinen, L. Dimensions of Executive Functioning: Evidence from Children. Br. J. Dev. Psychol. 2003, 21, 59–80. [Google Scholar] [CrossRef]
  3. Miyake, A.; Friedman, N.P.; Emerson, M.J.; Witzki, A.H.; Howerter, A.; Wager, T.D. The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis. Cogn. Psychol. 2000, 41, 49–100. [Google Scholar] [CrossRef] [PubMed]
  4. Collins, A.; Koechlin, E. Reasoning, Learning, and Creativity: Frontal Lobe Function and Human Decision-Making. PLoS Biol. 2012, 10, e1001293. [Google Scholar] [CrossRef] [PubMed]
  5. Munakata, Y.; Herd, S.A.; Chatham, C.H.; Depue, B.E.; Banich, M.T.; O’Reilly, R.C. A Unified Framework for Inhibitory Control. Trends Cogn. Sci. 2011, 15, 453–459. [Google Scholar] [CrossRef] [PubMed]
  6. Baddeley, A. Working Memory: Theories, Models, and Controversies. Annu. Rev. Psychol. 2012, 63, 1–29. [Google Scholar] [CrossRef] [PubMed]
  7. Dajani, D.R.; Uddin, L.Q. Demystifying Cognitive Flexibility: Implications for Clinical and Developmental Neuroscience. Trends Neurosci. 2015, 38, 571–578. [Google Scholar] [CrossRef]
  8. Cahn-Weiner, D.; Tomaszewski, S.; Julian, L.; Harvey, D.; Kramer, J.; Reed, B.; Mungas, D.; Wetzel, M.; Chui, H. Cognitive and Neuroimaging Predictors of Instrumental Activities of Daily Living. J. Int. Neuropsychol. Soc. 2007, 13, 747–757. [Google Scholar] [CrossRef]
  9. Vazzana, R.; Bandinelli, S.; Lauretani, F.; Volpato, S.; Lauretani, F.; Di Iorio, A.; Abate, G.; Corsi, A.; Milaneschi, Y.; Guralnik, J.; et al. Trail Making Test Predicts Physical Impairment and Mortality in Older Persons. J. Am. Geriatr Soc. 2010, 58, 719–723. [Google Scholar] [CrossRef]
  10. Zelazo, P.D.; Craik, F.I.M.; Booth, L. Executive Function across the Life Span. Acta Psychol. 2004, 115, 167–183. [Google Scholar] [CrossRef]
  11. de Greeff, J.W.; Bosker, R.J.; Oosterlaan, J.; Visscher, C.; Hartman, E. Effects of Physical Activity on Executive Functions, Attention and Academic Performance in Preadolescent Children: A Meta-Analysis. J. Sci. Med. Sport 2018, 21, 501–507. [Google Scholar] [CrossRef] [PubMed]
  12. Liu, S.; Yu, Q.; Li, Z.; Cunha, P.M.; Zhang, Y.; Kong, Z.; Lin, W.; Chen, S.; Cai, Y. Effects of Acute and Chronic Exercises on Executive Function in Children and Adolescents: A Systemic Review and Meta-Analysis. Front. Psychol. 2020, 11, 3482. [Google Scholar] [CrossRef] [PubMed]
  13. Verburgh, L.; Königs, M.; Scherder, E.J.A.; Oosterlaan, J. Physical Exercise and Executive Functions in Preadolescent Children, Adolescents and Young Adults: A Meta-Analysis. Br. J. Sports Med. 2014, 48, 973–979. [Google Scholar] [CrossRef] [PubMed]
  14. Xue, Y.; Yang, Y.; Huang, T. Effects of Chronic Exercise Interventions on Executive Function among Children and Adolescents: A Systematic Review with Meta-Analysis. Br. J. Sports Med. 2019, 53, 1397–1404. [Google Scholar] [CrossRef] [PubMed]
  15. Álvarez-Bueno, C.; Pesce, C.; Cavero-Redondo, I.; Sánchez-López, M.; Martínez-Hortelano, J.A.; Martínez-Vizcaíno, V. The Effect of Physical Activity Interventions on Children’s Cognition and Metacognition: A Systematic Review and Meta-Analysis. J. Am. Acad. Child Adolesc. Psychiatry 2017, 56, 729–738. [Google Scholar] [CrossRef]
  16. Bidzan-Bluma, I.; Lipowska, M. Physical Activity and Cognitive Functioning of Children: A Systematic Review. Int. J. Environ. Res. Public Health 2018, 15, 800. [Google Scholar] [CrossRef]
  17. Diamond, A.; Lee, K. Interventions Shown to Aid Executive Function Development in Children 4–12 Years Old. Science 2011, 333, 959–964. [Google Scholar] [CrossRef]
  18. Belling, P.K.; Ward, P. Time to Start Training: A Review of Cognitive Research in Sport and Bridging the Gap from Academia to the Field. Procedia Manuf. 2015, 3, 1219–1224. [Google Scholar] [CrossRef]
  19. Contreras-Osorio, F.; Campos-Jara, C.; Martínez-Salazar, C.; Chirosa-Ríos, L.; Martínez-García, D. Effects of Sport-Based Interventions on Children’s Executive Function: A Systematic Review and Meta-Analysis. Brain Sci. 2021, 11, 755. [Google Scholar] [CrossRef]
  20. Contreras-Osorio, F.; Guzmán-Guzmán, I.P.; Cerda-Vega, E.; Chirosa-Ríos, L.; Ramírez-Campillo, R.; Campos-Jara, C. Effects of the Type of Sports Practice on the Executive Functions of Schoolchildren. Int. J. Environ. Res. Public Health 2022, 19, 3886. [Google Scholar] [CrossRef]
  21. Seer, C.; Sidlauskaite, J.; Lange, F.; Rodríguez-Nieto, G.; Swinnen, S.P. Cognition and Action: A Latent Variable Approach to Study Contributions of Executive Functions to Motor Control in Older Adults. Aging 2021, 13, 15942–15963. [Google Scholar] [CrossRef] [PubMed]
  22. Van Impe, A.; Bruijn, S.M.; Coxon, J.P.; Wenderoth, N.; Sunaert, S.; Duysens, J.; Swinnen, S.P. Age-Related Neural Correlates of Cognitive Task Performanceunder Increased Postural Load. Age 2013, 35, 2111–2124. [Google Scholar] [CrossRef] [PubMed]
  23. Heuninckx, S.; Wenderoth, N.; Debaere, F.; Peeters, R.; Swinnen, S.P. Neural Basis of Aging: The Penetration of Cognition into Action Control. J. Neurosci. 2005, 25, 6787–6796. [Google Scholar] [CrossRef] [PubMed]
  24. Park, D.C.; Reuter-Lorenz, P. The Adaptive Brain: Aging and Neurocognitive Scaffolding. Annu. Rev. Psychol. 2009, 60, 173–196. [Google Scholar] [CrossRef]
  25. Seidler, R.D.; Bernard, J.A.; Burutolu, T.B.; Fling, B.W.; Gordon, M.T.; Gwin, J.T.; Kwak, Y.; Lipps, D.B. Motor Control and Aging: Links to Age-Related Brain Structural, Functional, and Biochemical Effects. Neurosci. Biobehav. Rev. 2010, 34, 721–733. [Google Scholar] [CrossRef]
  26. Michely, J.; Volz, L.J.; Hoffstaedter, F.; Tittgemeyer, M.; Eickhoff, S.B.; Fink, G.R.; Grefkes, C. Network Connectivity of Motor Control in the Ageing Brain. NeuroImage Clin. 2018, 18, 443–455. [Google Scholar] [CrossRef]
  27. Di, X.; Rypma, B.; Biswal, B. Correspondence of Executive Function Related Functional and Anatomical Alterations in Aging Brain. Prog. Neuropsychopharmacol. Biol. Psychiatry 2014, 48, 41–50. [Google Scholar] [CrossRef]
  28. Turner, G.R.; Spreng, R.N. Executive Functions and Neurocognitive Aging: Dissociable Patterns of Brain Activity. Neurobiol. Aging 2012, 33, 826.e1–826.e13. [Google Scholar] [CrossRef]
  29. Carvalho, A.; Rea, I.M.; Parimon, T.; Cusack, B.J. Physical Activity and Cognitive Function in Individuals over 60 Years of Age: A Systematic Review. Clin. Interv. Aging 2014, 9, 661–682. [Google Scholar] [CrossRef]
  30. Etnier, J.L.; Drollette, E.S.; Slutsky, A.B. Physical Activity and Cognition: A Narrative Review of the Evidence for Older Adults. Psychol. Sport Exerc. 2019, 42, 156–166. [Google Scholar] [CrossRef]
  31. Northey, J.M.; Cherbuin, N.; Pumpa, K.L.; Smee, D.J.; Rattray, B. Exercise Interventions for Cognitive Function in Adults Older than 50: A Systematic Review with Meta-Analysis. Br. J. Sports Med. 2018, 52, 154–160. [Google Scholar] [CrossRef] [PubMed]
  32. Barha, C.K.; Dao, E.; Marcotte, L.; Hsiung, G.-Y.R.; Tam, R.; Liu-Ambrose, T. Cardiovascular Risk Moderates the Effect of Aerobic Exercise on Executive Functions in Older Adults with Subcortical Ischemic Vascular Cognitive Impairment. Sci. Rep. 2021, 11, 19974. [Google Scholar] [CrossRef] [PubMed]
  33. Liu-Ambrose, T.; Barha, C.K.; Best, J.R. Physical Activity for Brain Health in Older Adults1. Appl. Physiol. Nutr. Metab. 2018, 43, 1105–1112. [Google Scholar] [CrossRef] [PubMed]
  34. Tsai, C.-L.; Chang, Y.-C.; Pan, C.-Y.; Wang, T.-C.; Ukropec, J.; Ukropcová, B. Acute Effects of Different Exercise Intensities on Executive Function and Oculomotor Performance in Middle-Aged and Older Adults: Moderate-Intensity Continuous Exercise vs. High-Intensity Interval Exercise. Front. Aging Neurosci. 2021, 13, 743479. [Google Scholar] [CrossRef]
  35. Erickson, K.; Hillman, C.; Stillman, C.; Ballard, R.; Bloodgood, B.; Conroy, D.; Macko, R.; Marquez, D.; Petruzzello, S.; Powell, K. Physical Activity, Cognition, and Brain Outcomes: A Review of the 2018 Physical Activity Guidelines. Med. Sci. Sport. Exerc. 2019, 51, 1242–1251. [Google Scholar] [CrossRef]
  36. Colcombe, S.; Kramer, A.F. Fitness Effects on the Cognitive Function of Older Adults: A Meta–Analytic Study. Psychol. Sci. 2003, 14, 125–130. [Google Scholar] [CrossRef]
  37. Barha, C.K.; Davis, J.C.; Falck, R.S.; Nagamatsu, L.S.; Liu-Ambrose, T. Sex Differences in Exercise Efficacy to Improve Cognition: A Systematic Review and Meta-Analysis of Randomized Controlled Trials in Older Humans. Front. Neuroendocrinol. 2017, 46, 71–85. [Google Scholar] [CrossRef]
  38. Barha, C.K.; Hsu, C.L.; ten Brinke, L.; Liu-Ambrose, T. Biological Sex: A Potential Moderator of Physical Activity Efficacy on Brain Health. Front. Aging Neurosci. 2019, 11, 329. [Google Scholar] [CrossRef]
  39. Chen, F.T.; Etnier, J.L.; Chan, K.H.; Chiu, P.K.; Hung, T.M.; Chang, Y.K. Effects of Exercise Training Interventions on Executive Function in Older Adults: A Systematic Review and Meta-Analysis. Sports Med. 2020, 50, 1451–1467. [Google Scholar] [CrossRef]
  40. Ren, F.F.; Chen, F.T.; Zhou, W.S.; Cho, Y.M.; Ho, T.J.; Hung, T.M.; Chang, Y.K. Effects of Chinese Mind-Body Exercises on Executive Function in Middle-Aged and Older Adults: A Systematic Review and Meta-Analysis. Front. Psychol. 2021, 12, 1831. [Google Scholar] [CrossRef]
  41. Voss, M.W.; Erickson, K.I.; Prakash, R.S.; Chaddock, L.; Kim, J.S.; Alves, H.; Szabo, A.; Phillips, S.M.; Wójcicki, T.R.; Mailey, E.L.; et al. Neurobiological Markers of Exercise-Related Brain Plasticity in Older Adults. Brain Behav. Immun. 2013, 28, 90–99. [Google Scholar] [CrossRef] [PubMed]
  42. Canton-Martínez, E.; Rentería, I.; García-Suárez, P.C.; Moncada-Jiménez, J.; Machado-Parra, J.P.; Lira, F.S.; Johnson, D.K.; Jiménez-Maldonado, A. Concurrent Training Increases Serum Brain-Derived Neurotrophic Factor in Older Adults Regardless of the Exercise Frequency. Front. Aging Neurosci. 2022, 14, 791698. [Google Scholar] [CrossRef] [PubMed]
  43. Zhidong, C.; Wang, X.; Yin, J.; Song, D.; Chen, Z. Effects of Physical Exercise on Working Memory in Older Adults: A Systematic and Meta-Analytic Review. Eur. Rev. Aging Phys. Act. 2021, 18, 18. [Google Scholar] [CrossRef]
  44. Xiong, J.; Ye, M.; Wang, L.; Zheng, G. Effects of Physical Exercise on Executive Function in Cognitively Healthy Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials: Physical Exercise for Executive Function. Int. J. Nurs. Stud. 2021, 114, 103810. [Google Scholar] [CrossRef] [PubMed]
  45. Pacheco Lopes Filho, B.J.; De Oliveira, C.R.; Valle Gottlieb, M.G. Effects of Karate-Dō Training in Older Adults Cognition: Randomized Controlled Trial. J. Phys. Educ. 2019, 30, 1–12. [Google Scholar] [CrossRef]
  46. Cho, S.-Y.; Roh, H.-T. Taekwondo Enhances Cognitive Function as a Result of Increased Neurotrophic Growth Factors in Elderly Women. Int. J. Environ. Res. Public Health 2019, 16, 962. [Google Scholar] [CrossRef]
  47. Jansen, P.; Dahmen-Zimmer, K. Effects of Cognitive, Motor, and Karate Training on Cognitive Functioning and Emotional Well-Being of Elderly People. Front. Psychol. 2012, 3, 40. [Google Scholar] [CrossRef]
  48. Witte, K.; Kropf, S.; Darius, S.; Emmermacher, P.; Böckelmann, I. Comparing the Effectiveness of Karate and Fitness Training on Cognitive Functioning in Older Adults—A Randomized Controlled Trial. J. Sport Health Sci. 2016, 5, 484–490. [Google Scholar] [CrossRef]
  49. Jansen, P.; Dahmen-Zimmer, K.; Kudielka, B.M.; Schulz, A. Effects of Karate Training Versus Mindfulness Training on Emotional Well-Being and Cognitive Performance in Later Life. Res. Aging 2017, 39, 1118–1144. [Google Scholar] [CrossRef]
  50. Albinet, C.T.; Abou-Dest, A.; André, N.; Audiffren, M. Executive Functions Improvement Following a 5-Month Aquaerobics Program in Older Adults: Role of Cardiac Vagal Control in Inhibition Performance. Biol. Psychol. 2016, 115, 69–77. [Google Scholar] [CrossRef]
  51. Tsai, C.-L.; Pan, C.-Y.; Chen, F.-C.; Tseng, Y.-T. Open- and Closed-Skill Exercise Interventions Produce Different Neurocognitive Effects on Executive Functions in the Elderly: A 6-Month Randomized, Controlled Trial. Front. Aging Neurosci. 2017, 9, 294. [Google Scholar] [CrossRef] [PubMed]
  52. Shimada, H.; Lee, S.; Akishita, M.; Kozaki, K.; Iijima, K.; Nagai, K.; Ishii, S.; Tanaka, M.; Koshiba, H.; Tanaka, T.; et al. Effects of Golf Training on Cognition in Older Adults: A Randomised Controlled Trial. J. Epidemiol. Commun. Health 2018, 72, 944–950. [Google Scholar] [CrossRef] [PubMed]
  53. Kanwar, K.D.; Moore, J.L.; Hawkes, R.; Salem, G.J. Golf as a Physical Activity to Improve Walking Speed and Cognition in Older Adults: A Non-Randomized, Pre-Post, Pilot Study. Ment. Health Phys. Act. 2021, 21, 100410. [Google Scholar] [CrossRef]
  54. Nemoto, Y.; Sakurai, R.; Ogawa, S.; Maruo, K.; Fujiwara, Y. Effects of an Unsupervised Nordic Walking Intervention on Cognitive and Physical Function among Older Women Engaging in Volunteer Activity. J. Exerc. Sci. Fit. 2021, 19, 209–215. [Google Scholar] [CrossRef] [PubMed]
  55. Reddy, P.; Dias, I.; Holland, C.; Campbell, N.; Nagar, I.; Connolly, L.; Krustrup, P.; Hubball, H. Walking Football as Sustainable Exercise for Older Adults—A Pilot Investigation. Eur. J. Sport Sci. 2017, 17, 638–645. [Google Scholar] [CrossRef] [PubMed]
  56. 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]
  57. Snyder, E.E.; Spreitzer, E. Sociology of Sport: An Overview. Sociol. Q. 1974, 15, 467–487. [Google Scholar] [CrossRef]
  58. You, Y.; Ma, Y.; Ji, Z.; Meng, F.; Li, A.; Zhang, C. Unconscious Response Inhibition Differences between Table Tennis Athletes and Non-Athletes. PeerJ 2018, 6, e5548. [Google Scholar] [CrossRef]
  59. Chiu, Y.K.; Pan, C.Y.; Chen, F.C.; Tseng, Y.T.; Tsai, C.L. Behavioral and Cognitive Electrophysiological Differences in the Executive Functions of Taiwanese Basketball Players as a Function of Playing Position. Brain Sci. 2020, 10, 387. [Google Scholar] [CrossRef]
  60. Ding, Q.; Huang, L.; Chen, J.; Dehghani, F.; Du, J.; Li, Y.; Li, Q.; Zhang, H.; Qian, Z.; Shen, W.; et al. Sports Augmented Cognitive Benefits: An FMRI Study of Executive Function with Go/NoGo Task. Neural Plast. 2021, 2021, 7476717. [Google Scholar] [CrossRef]
  61. Visser, A.; Büchel, D.; Lehmann, T.; Baumeister, J. Continuous Table Tennis Is Associated with Processing in Frontal Brain Areas: An EEG Approach. Exp. Brain Res. 2022, 240, 1899–1909. [Google Scholar] [CrossRef] [PubMed]
  62. Pesce, C. Shifting the Focus From Quantitative to Qualitative Exercise Characteristics in Exercise and Cognition Research. J. Sport Exerc. Psychol. 2012, 34, 766–786. [Google Scholar] [CrossRef]
  63. Tomporowski, P.D.; McCullick, B.; Pendleton, D.M.; Pesce, C. Exercise and Children’s Cognition: The Role of Exercise Characteristics and a Place for Metacognition. J. Sport Health Sci. 2015, 4, 47–55. [Google Scholar] [CrossRef]
  64. Best, J.R. Effects of Physical Activity on Children’s Executive Function: Contributions of Experimental Research on Aerobic Exercise. Dev. Rev. 2010, 30, 331–351. [Google Scholar] [CrossRef]
  65. Diamond, A. Activities and Programs That Improve Children’s Executive Functions. Curr. Dir. Psychol. Sci. 2012, 21, 335–341. [Google Scholar] [CrossRef] [PubMed]
  66. Tait, J.L.; Duckham, R.L.; Milte, C.M.; Main, L.C.; Daly, R.M. Influence of Sequential vs. Simultaneous Dual-Task Exercise Training on Cognitive Function in Older Adults. Front. Aging Neurosci. 2017, 9, 368. [Google Scholar] [CrossRef] [PubMed]
  67. Guo, W.; Zang, M.; Klich, S.; Kawczyński, A.; Smoter, M.; Wang, B. Effect of Combined Physical and Cognitive Interventions on Executive Functions in Older Adults: A Meta-Analysis of Outcomes. Int. J. Environ. Res. Public Health 2020, 17, 6166. [Google Scholar] [CrossRef] [PubMed]
  68. Wollesen, B.; Wildbredt, A.; van Schooten, K.S.; Lim, M.L.; Delbaere, K. The Effects of Cognitive-Motor Training Interventions on Executive Functions in Older People: A Systematic Review and Meta-Analysis. Eur. Rev. Aging Phys. Act. 2020, 17, 9. [Google Scholar] [CrossRef]
  69. 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, n71. [Google Scholar] [CrossRef]
  70. 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]
  71. 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]
  72. 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] [PubMed]
  73. 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]
  74. 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]
  75. 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] [PubMed]
  76. 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] [PubMed]
  77. 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]
  78. 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]
  79. 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]
  80. Valentine, J.; Pigott, T.; Rothstein, H. How Many Studies Do You Need? A Primer on Statistical Power for Meta-Analysis. J. Ed. Behav. Stat. 2010, 35, 215–247. [Google Scholar] [CrossRef]
  81. Pigott, T. Advances in Meta-Analysis; Springer Science & Business Media: New York, NY, USA, 2012; ISBN 978-1-4614-2277-8. [Google Scholar]
  82. 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]
  83. 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] [PubMed]
  84. Kontopantelis, E.; Springate, D.A.; Reeves, D. A Re-Analysis of the Cochrane Library Data: The Dangers of Unobserved Heterogeneity in Meta-Analyses. PLoS ONE 2013, 8, e69930. [Google Scholar]
  85. 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] [PubMed]
  86. Higgins, J.P.T.; Thompson, S.G. Quantifying Heterogeneity in a Meta-Analysis. Stat. Med. 2002, 21, 1539–1558. [Google Scholar] [CrossRef]
  87. 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]
  88. 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]
  89. 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]
  90. 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]
Table 1. Eligibility Criteria Based on PICOS.
Table 1. Eligibility Criteria Based on PICOS.
PICOSInclusion CriteriaExclusion Criteria
PopulationHealthy older adults (mean age, ≥60 years) without restrictions based on sex or fitness level.Children, adolescents, or middle-aged adults.
Individuals with a medical condition that may limit their participation in sport-based activities, meaning that they must not have any neurological pathology, psychiatric disorder, or other types of medical conditions.
Participants of paralympic sports or individuals with disabilities are not included.
InterventionChronic intervention programs (with a minimum duration of 4 weeks) based on a sport, of a competitive or recreational type. The interventions should involve sport exercises (e.g., soccer) or sport-based or sport-adapted exercises (e.g., walking soccer).Acute interventions.
Chronic sport-based interventions combined with different types of exercises (for example, aerobics or resistance training) or with the aid of a nutritional supplement.
Chronic interventions that are not related to a sport.
ComparatorGroup not exposed to the sports training program. The control group may be active (alternative training method, such as balance or stretching program) or passive (continuing their usual activities of daily living). Absence of control group.
OutcomePre-post-intervention values for one or more direct assessment measures for the executive functions of working memory, inhibition, or cognitive flexibility.Indirect measures of executive functions (e.g., questionnaire).
Measures of executive functions other than working memory, inhibition, or cognitive flexibility.
Study designLongitudinal studies with at least one experimental group and a control group, that include pre- and post-intervention measurements.Cross-sectional studies; Single-group interventions.
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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. https://doi.org/10.3390/brainsci12091142

AMA Style

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 Sciences. 2022; 12(9):1142. https://doi.org/10.3390/brainsci12091142

Chicago/Turabian Style

Contreras-Osorio, Falonn, Rodrigo Ramirez-Campillo, Enrique Cerda-Vega, Rodrigo Campos-Jara, Cristian Martínez-Salazar, Cristián Arellano-Roco, and Christian Campos-Jara. 2022. "Effects of Sport-Based Interventions on Executive Function in Older Adults: A Systematic Review and Meta-Analysis Protocol" Brain Sciences 12, no. 9: 1142. https://doi.org/10.3390/brainsci12091142

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