Estimated Cardiorespiratory Fitness and Metabolic Risks.
cardiorespiratory fitness
dyslipidemia
eCRF prediction models
estimated CRF
hyperglycemia
hypertension
metabolic risk factors
noncommunicable diseases
obesity
public health
Journal
International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455
Informations de publication
Date de publication:
16 May 2024
16 May 2024
Historique:
received:
01
04
2024
revised:
14
05
2024
accepted:
14
05
2024
medline:
25
5
2024
pubmed:
25
5
2024
entrez:
25
5
2024
Statut:
epublish
Résumé
This review focuses on the emerging evidence for the association between non-exercise fitness testing, estimated cardiorespiratory fitness (eCRF), and metabolic risk factors. Given the challenges associated with directly measuring cardiorespiratory fitness (CRF) in large populations, eCRF presents a practical alternative for predicting metabolic health risks. A literature search identified seven relevant cohort studies from 2020 to 2024 that investigated the association of eCRF with hypertension, hyperglycemia, dyslipidemia, and obesity. This review consistently demonstrates an inverse relationship between higher eCRF and a lower incidence of metabolic risks, which is in line with CRF cohort studies. It highlights the importance of low eCRF as a primordial indicator for metabolic risks and underscores the potential for broader application. Future research directions should include exploring eCRF's predictive ability across diverse populations and health outcomes and testing its real-world applicability in healthcare and public health settings.
Identifiants
pubmed: 38791849
pii: ijerph21050635
doi: 10.3390/ijerph21050635
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM