Moderators of the Impact of (Poly)Phenols Interventions on Psychomotor Functions and BDNF: Insights from Subgroup Analysis and Meta-Regression.


Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
19 Sep 2020
Historique:
received: 11 08 2020
revised: 11 09 2020
accepted: 17 09 2020
entrez: 23 9 2020
pubmed: 24 9 2020
medline: 1 4 2021
Statut: epublish

Résumé

Recent anti-aging interventions have shown contradictory impacts of (poly)phenols regarding the prevention of cognitive decline and maintenance of brain function. These discrepancies have been linked to between-study differences in supplementation protocols. This subgroup analysis and meta-regression aimed to (i) examine differential effects of moderator variables related to participant characteristics and supplementation protocols and (ii) identify practical recommendations to design effective (poly)phenol supplementation protocols for future anti-aging interventions. Multiple electronic databases (Web of Science; PubMed) searched for relevant intervention published from inception to July 2019. Using the PICOS criteria, a total of 4303 records were screened. Only high-quality studies ( The reviewed studies support the beneficial effect of (poly)phenols-rich supplementation on psychomotor functions (ES = -0.677, This review suggests that age group, gender, the used phenolic compounds, their human bioavailability rate, and the supplementation dose as the primary moderator variables relating to the beneficial effects of (poly)phenol consumption on cognitive and brain function in humans. Therefore, it seems more advantageous to start anti-aging (poly)phenol interventions in adults earlier in life using medium (≈500 mg) to high doses (≈1000 mg) of phenolic compounds, with at least medium bioavailability rate (≥9%).

Sections du résumé

BACKGROUND BACKGROUND
Recent anti-aging interventions have shown contradictory impacts of (poly)phenols regarding the prevention of cognitive decline and maintenance of brain function. These discrepancies have been linked to between-study differences in supplementation protocols. This subgroup analysis and meta-regression aimed to (i) examine differential effects of moderator variables related to participant characteristics and supplementation protocols and (ii) identify practical recommendations to design effective (poly)phenol supplementation protocols for future anti-aging interventions.
METHODS METHODS
Multiple electronic databases (Web of Science; PubMed) searched for relevant intervention published from inception to July 2019. Using the PICOS criteria, a total of 4303 records were screened. Only high-quality studies (
RESULTS RESULTS
The reviewed studies support the beneficial effect of (poly)phenols-rich supplementation on psychomotor functions (ES = -0.677,
CONCLUSION CONCLUSIONS
This review suggests that age group, gender, the used phenolic compounds, their human bioavailability rate, and the supplementation dose as the primary moderator variables relating to the beneficial effects of (poly)phenol consumption on cognitive and brain function in humans. Therefore, it seems more advantageous to start anti-aging (poly)phenol interventions in adults earlier in life using medium (≈500 mg) to high doses (≈1000 mg) of phenolic compounds, with at least medium bioavailability rate (≥9%).

Identifiants

pubmed: 32961777
pii: nu12092872
doi: 10.3390/nu12092872
pmc: PMC7551086
pii:
doi:

Substances chimiques

Brain-Derived Neurotrophic Factor 0
Polyphenols 0
BDNF protein, human 7171WSG8A2

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Achraf Ammar (A)

Institute of Sport Sciences, Otto-von-Guericke University, 39104 Magdeburg, Germany.

Khaled Trabelsi (K)

High Institute of Sport and Physical Education, University of Sfax, Sfax 3000, Tunisia.
Research Laboratory: Education, Motricité, Sport et Santé, EM2S, LR19JS01, High Institute of Sport and Physical Education of Sfax, University of Sfax, Sfax 3000, Tunisia.

Omar Boukhris (O)

High Institute of Sport and Physical Education, University of Sfax, Sfax 3000, Tunisia.
Activité Physique, Sport et Santé, UR18JS01, Observatoire National du Sport, Tunis 1003, Tunisia.

Bassem Bouaziz (B)

Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia.

Patrick Müller (P)

German Center for Neurodegenerative Diseases (DZNE), 39104 Magdeburg, Germany.
Department of Neurology, Medical Faculty, Otto von Guericke University, 39104 Magdeburg, Germany.

Jordan M Glenn (JM)

Department of Health, Exercise Science Research Center, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA.
Neurotrack Technologies, 399 Bradford St, Redwood City, CA 94063, USA.

Karim Chamari (K)

ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha PoBox 29222, Qatar.
Laboratory "Sport Performance Optimization", (CNMSS), ISSEP Ksar-Said, Manouba University, Manouba 1004, Tunisia.

Notger Müller (N)

German Center for Neurodegenerative Diseases (DZNE), 39104 Magdeburg, Germany.

Hamdi Chtourou (H)

High Institute of Sport and Physical Education, University of Sfax, Sfax 3000, Tunisia.
Activité Physique, Sport et Santé, UR18JS01, Observatoire National du Sport, Tunis 1003, Tunisia.

Tarak Driss (T)

Interdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2-2APS), UFR STAPS, UPL, Paris Nanterre University, 92000 Nanterre, France.

Anita Hökelmann (A)

Institute of Sport Sciences, Otto-von-Guericke University, 39104 Magdeburg, Germany.

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