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November 29, 2024Frontiers in Aging Neuroscience13 citationsOpen Access

Association between cardiometabolic index and biological aging in the US population: evidence from NHANES 2015–2020

MSMiao SunSBShuang Bao

Key Result

An elevated cardiometabolic index is significantly associated with an increased risk of biological aging, with individuals in the highest quartile having an OR of 1.550 compared to the lowest quartile.

Study Design

Type

Cross-Sectional (n=6,272)

Structured PICO

Is an elevated cardiac metabolic index associated with increased biological aging in the US population?

P
Population
6,272 US adults aged 20 and older from the NHANES 2015-2020 database with complete data on cardiometabolic index and phenotypic age.
E
Exposure
Cardiac metabolic index (CMI)
C
Comparator
Lower CMI groups (reference group)
O
Outcome
Biological agingsurrogate

An elevated cardiac metabolic index is non-linearly associated with an increased risk of accelerated biological aging, suggesting its potential utility as a biomarker in routine health screenings.

Main Result

Odds Ratio: 1.55 (95% CI 1.299–1.85)

p-value: p=<0.001

Limitations

  • Unmeasured or residual confounding cannot be fully excluded despite adjusting for several confounders.
  • Treatment factors such as oral antidiabetic drugs that could affect CMI were not taken into account.
  • Participant questionnaires used to diagnose comorbidities could introduce recollection bias.
  • Blood biomarkers used to determine phenotypic age may not correctly reflect other measures of biological aging, such as DNA methylation or telomere length.

Abstract

Purpose: It is crucial to identify biomarkers that influence the aging process and associated health risks, given the growing severity of the global population aging issue. The objectives of our research were to evaluate cardiac metabolic index (CMI) as a novel biomarker for identifying individuals at increased risk of accelerated biological aging and to assess its use in guiding preventive strategies for aging-related health risks. Methods: tests were conducted to assess differences between groups. The relationship between CMI and biological aging was investigated using a weighted multivariate logistic regression model, restricted cubic spline (RCS) regression analysis, subgroup analysis, and interaction testing. Results: A positive correlation between CMI and biological aging was observed in 6,272 participants. RCS regression analysis confirmed the non-linear relationship, identifying significant inflection point at 1.10. In the crude or adjusted models, the OR (95% CI), for the highest group versus the reference were 3.608 (3.108, 4.188), 3.397 (2.920, 3.952), and 1.550 (1.299, 1.850), respectively, when categorizing CMI into different groups. Subgroup analyses and interaction tests indicate that the association between CMI and biological aging remained consistent across different subgroups. Gender, race, education level, marital status, poverty income ratio (PIR), drinking status and diabetes had an interaction with CMI in relation to biological aging. Conclusion: An elevated CMI is linked to increased risk for biological aging. This relationship may inform more effective prevention and treatment strategies for biological aging in the future. CMI be integrated into routine health screenings or aging assessments by healthcare professionals.

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Cite This Study

Sun et al. (2024) conducted a cross-sectional in Biological aging (Phenotypic age acceleration) (n=6,272). Cardiometabolic index (CMI) vs. Lowest quartile of CMI (Q1 ≤ 0.59) was evaluated on Phenotypic age acceleration (biological aging) (OR 1.550, 95% CI 1.299, 1.850, p=<0.001). An elevated cardiometabolic index is significantly associated with an increased risk of biological aging, with individuals in the highest quartile having an OR of 1.550 compared to the lowest quartile.

synapsesocial.com/papers/6aa38feb037baa32b3555060https://doi.org/10.3389/fnagi.2024.1507035
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