Association between stroke and relative fat mass: a cross-sectional study based on NHANES.
Cardiovascular disease
NHANES
Obesity
Relative fat mass
Stroke
Journal
Lipids in health and disease
ISSN: 1476-511X
Titre abrégé: Lipids Health Dis
Pays: England
ID NLM: 101147696
Informations de publication
Date de publication:
31 Oct 2024
31 Oct 2024
Historique:
received:
21
08
2024
accepted:
27
10
2024
medline:
1
11
2024
pubmed:
1
11
2024
entrez:
1
11
2024
Statut:
epublish
Résumé
This study was aimed at investigating the correlation between the occurrence of stroke and relative fat mass (RFM), a novel metric for determining total body fat. This cross-sectional study employed the National Health and Nutrition Examination Survey (NHANES) dataset, which encompassed the years 2005 to 2018 to assess the independent relationship between RFM and stroke. Moreover, multinomial logistic regression, subgroup analysis, smooth curve fitting, and interaction testing were also used. This study included 35,842 participants and 1,267 (3.53%) of them were diagnosed with stroke. Fully adjusted Models showed that RFM was positively associated with stroke (odds ratio [OR] = 1.02; 95% confidence interval [CI] = 1.01-1.03). The odds of having a stroke in quartile 4 were significantly elevated by 44%, compared to quartile 1 (OR = 1.44,95%CI:1.09-1.90). In addition, a subgroup analysis also demonstrated that age and BMI significantly impacted the association between RFM and stroke (P for interaction<0.01). Elevated RFM is associated with increased odds of stroke, suggesting that RFM may have potential value in the prevention and management of stroke.
Sections du résumé
BACKGROUND
BACKGROUND
This study was aimed at investigating the correlation between the occurrence of stroke and relative fat mass (RFM), a novel metric for determining total body fat.
METHODS
METHODS
This cross-sectional study employed the National Health and Nutrition Examination Survey (NHANES) dataset, which encompassed the years 2005 to 2018 to assess the independent relationship between RFM and stroke. Moreover, multinomial logistic regression, subgroup analysis, smooth curve fitting, and interaction testing were also used.
RESULTS
RESULTS
This study included 35,842 participants and 1,267 (3.53%) of them were diagnosed with stroke. Fully adjusted Models showed that RFM was positively associated with stroke (odds ratio [OR] = 1.02; 95% confidence interval [CI] = 1.01-1.03). The odds of having a stroke in quartile 4 were significantly elevated by 44%, compared to quartile 1 (OR = 1.44,95%CI:1.09-1.90). In addition, a subgroup analysis also demonstrated that age and BMI significantly impacted the association between RFM and stroke (P for interaction<0.01).
CONCLUSIONS
CONCLUSIONS
Elevated RFM is associated with increased odds of stroke, suggesting that RFM may have potential value in the prevention and management of stroke.
Identifiants
pubmed: 39482681
doi: 10.1186/s12944-024-02351-2
pii: 10.1186/s12944-024-02351-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
354Informations de copyright
© 2024. The Author(s).
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