Physical activity, sedentary behaviour, and cognitive function among older adults: A bibliometric analysis from 2004 to 2024.

Bibliometric Analysis Cognitive Aging Healthy Aging Lifestyle Behaviors Physical Activity, Sedentary Behavior

Journal

Ageing research reviews
ISSN: 1872-9649
Titre abrégé: Ageing Res Rev
Pays: England
ID NLM: 101128963

Informations de publication

Date de publication:
27 Mar 2024
Historique:
received: 29 11 2023
revised: 18 03 2024
accepted: 23 03 2024
medline: 30 3 2024
pubmed: 30 3 2024
entrez: 29 3 2024
Statut: aheadofprint

Résumé

Because of population ageing, there will be a vast increase in the prevalence of cognitive decline and dementia. Physical activity and sedentary behaviour have been identified as modifiable lifestyle behaviours associated with these cognitive conditions. Therefore, the aim of this bibliometric analysis is to reveal the knowledge structure of the field of physical activity, sedentary behaviour, and cognitive function among older adults from 2004 to 2024, and to predict emerging research trends. A total of 1,290 publications were retrieved from the Web of Science Core Collection. CiteSpace and VOSviewer were applied to conduct performance analysis, science mapping, and enrichment. T. Liu-Ambrose was the most prolific author (39 publications), and the University of British Columbia was the most prolific institution (48 publications). The USA, China, and Canada were the three most productive countries with 392, 174, and 136 publications respectively. Two research trends revealed the knowledge structure of this field, including the shift from evaluating the effectiveness of interventions on cognitive function to evaluating the effectiveness of interventions on other health-related outcomes, as well as an expansion of research on the role of physical activity and sedentary behaviour in the context of healthy ageing. Sleep, sedentary behaviour, and virtual reality may be emerging research trends and may predict directions for future research. Collectively, this bibliometric analysis provides a one-step overview of the knowledge structure in this field for researchers and other stakeholders, as well as a reference for future research.

Identifiants

pubmed: 38552882
pii: S1568-1637(24)00101-6
doi: 10.1016/j.arr.2024.102283
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102283

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper Declaration of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Zhen Yang (Z)

Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.

Pauline Hotterbeex (P)

Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium; Department of Movement and Sports Sciences, Ghent University Research Centre for Aging Young, Ghent University, Ghent, Belgium.

Pieter-Jan Marent (PJ)

Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium; Department of Movement and Sports Sciences, Ghent University Research Centre for Aging Young, Ghent University, Ghent, Belgium.

Ester Cerin (E)

Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; School of Public Health, The University of Hong Kong, Hong Kong, China.

Martine Thomis (M)

Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium.

Jannique van Uffelen (J)

Physical Activity, Sports & Health Research Group, Department of Movement Sciences, KU Leuven, Leuven, Belgium. Electronic address: jannique.vanuffelen@kuleuven.be.

Classifications MeSH