» Articles » PMID: 36532557

Effect of Dietary Inflammatory Potential on the Aging Acceleration for Cardiometabolic Disease: A Population-based Study

Overview
Journal Front Nutr
Date 2022 Dec 19
PMID 36532557
Authors
Affiliations
Soon will be listed here.
Abstract

Background/aim: Optimized dietary patterns have been considered an important determinant of delaying aging in cardiometabolic disease (CMD). Dietary pattern with high-level dietary inflammatory potential is a key risk factor for cardiometabolic disease, and has drawn increasing attention. The aim of this study was to investigate whether dietary pattern with high dietary inflammatory potential was associated with aging acceleration in cardiometabolic disease.

Materials And Methods: We analyzed the cross-sectional data from six survey cycles (1999-2000, 2001-2002, 2003-2004, 2005-2006, 2007-2008, and 2009-2010) of the National Health and Nutritional Examination Surveys (NHANES). A total of 16,681 non-institutionalized adults and non-pregnant females with CMD were included in this study. Dietary inflammatory index (DII) was used to assess the dietary inflammatory potential. The two age acceleration biomarkers were calculated by the residuals from regressing chronologic age on Klemera-Doubal method biological age (KDM BioAge) or Phenotypic Age (PhenoAge), termed "KDMAccel" and "PhenoAgeAccel." A multivariable linear regression accounting for multistage survey design and sampling weights was used in different models to investigate the association between DII and aging acceleration. Four sensitivity analyses were used to ensure the robustness of our results. Besides, we also analyzed the anti-aging effects of DASH-type dietary pattern and "Life's Simple 7".

Results: For 16,681 participants with CMD, compared with the first tertile of DII after adjusting for all potential confounders, the patients with second tertile of DII showed a 1.02-years increase in KDMAccel and 0.63-years increase in PhenoAgeAccel (KDMAccel, β = 1.02, 95% CI = 0.64 to 1.41, < 0.001; PhenoAgeAccel, β = 0.63, 95% CI = 0.44 to 0.82, < 0.001), while the patients with the third tertile of DII showed a 1.48-years increase in KDMAccel and 1.22-years increase in PhenoAgeAccel (KDMAccel, β = 1.48, 95% CI = 1.02 to 1.94, < 0.001; PhenoAgeAccel, β = 1.22, 95% CI = 1.01 to 1.43, < 0.001). In addition, DASH-type dietary pattern was associated with a 0.57-years reduction in KDMAccel (β = -0.57, 95% CI = -1.08 to -0.06, = 0.031) and a 0.54-years reduction in PhenoAgeAccel (β = -0.54, 95% CI = -0.80 to -0.28, < 0.001). The each one-unit increase in CVH score was associated with a 1.58-years decrease in KDMAccel (β = -1.58, 95% CI = -1.68 to -1.49, < 0.001) and a 0.36-years in PhenoAgeAccel (β = -0.36, 95% CI = -0.41 to -0.31, < 0.001).

Conclusion: Among CMD, the dietary pattern with high dietary inflammatory potential was association with aging acceleration, and the anti-aging potential of DASH-type dietary pattern and "Life's Simple 7" should also be given attention, but these observations require future prospective validation.

Citing Articles

Genetic Causal Association Between Skin Microbiota and Biological Aging: Evidence From a Mendelian Randomization Analysis.

Li Y, Ma L, Fan L, Wu C, Luo D, Jiang F J Cosmet Dermatol. 2025; 24(1):e16762.

PMID: 39754364 PMC: 11699445. DOI: 10.1111/jocd.16762.


Advanced liver fibrosis, but not MASLD, is associated with accelerated biological aging: a population-based study.

Tong C, Xue Y, Wang W, Chen X BMC Public Health. 2024; 24(1):3293.

PMID: 39592989 PMC: 11600614. DOI: 10.1186/s12889-024-20808-y.


A combination nutritional supplement reduces DNA methylation age only in older adults with a raised epigenetic age.

McGee K, Sullivan J, Hazeldine J, Schmunk L, Martin-Herranz D, Jackson T Geroscience. 2024; 46(5):4333-4347.

PMID: 38528176 PMC: 11336001. DOI: 10.1007/s11357-024-01138-8.


Association between Gut Microbiota and Biological Aging: A Two-Sample Mendelian Randomization Study.

Ye C, Li Z, Ye C, Yuan L, Wu K, Zhu C Microorganisms. 2024; 12(2).

PMID: 38399774 PMC: 10891714. DOI: 10.3390/microorganisms12020370.


Living in poverty and accelerated biological aging: evidence from population-representative sample of U.S. adults.

Dalecka A, Bartoskova Polcrova A, Pikhart H, Bobak M, Ksinan A BMC Public Health. 2024; 24(1):458.

PMID: 38350911 PMC: 10865704. DOI: 10.1186/s12889-024-17960-w.


References
1.
Kwon D, Belsky D . A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge. Geroscience. 2021; 43(6):2795-2808. PMC: 8602613. DOI: 10.1007/s11357-021-00480-5. View

2.
De Meyer T, Nawrot T, Bekaert S, De Buyzere M, Rietzschel E, Andres V . Telomere Length as Cardiovascular Aging Biomarker: JACC Review Topic of the Week. J Am Coll Cardiol. 2018; 72(7):805-813. DOI: 10.1016/j.jacc.2018.06.014. View

3.
Davis N, Crandall J, Gajavelli S, Berman J, Tomuta N, Wylie-Rosett J . Differential effects of low-carbohydrate and low-fat diets on inflammation and endothelial function in diabetes. J Diabetes Complications. 2011; 25(6):371-6. DOI: 10.1016/j.jdiacomp.2011.08.001. View

4.
Hernandez-Saavedra D, Moody L, Xu G, Chen H, Pan Y . Epigenetic Regulation of Metabolism and Inflammation by Calorie Restriction. Adv Nutr. 2019; 10(3):520-536. PMC: 6520046. DOI: 10.1093/advances/nmy129. View

5.
Kresovich J, Garval E, Martinez Lopez A, Xu Z, Niehoff N, White A . Associations of Body Composition and Physical Activity Level With Multiple Measures of Epigenetic Age Acceleration. Am J Epidemiol. 2021; 190(6):984-993. PMC: 8168202. DOI: 10.1093/aje/kwaa251. View