Association Between Ultra-processed Food Intake and Biological Ageing in US Adults: Findings from National Health and Nutrition Examination Survey (NHANES) 2003-2010

Overview

Journal Age Ageing

Publisher Oxford University Press

Specialty Geriatrics

Date 2024 Dec 10

PMID 39657624

Authors

Barbara Rita Cardoso

Junxiu Liu

Priscila Machado

Dayoon Kwon

Daniel W Belsky

Euridice Martinez Steele

Affiliations

Soon will be listed here.

Abstract

Background: The association between ultra-processed food (UPF) intake and markers of biological ageing has been scarcely investigated, despite the evident adverse health effects associated with UPF. This study aimed to test the association between UPF intake and biological ageing, and evaluate how much of this association is accounted for by overall diet quality.

Methods: This cross-sectional study assessed 16 055 participants aged 20-79 years (51% women, 46 ± 0.3 years) from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. Dietary UPF intake was assessed using the Nova system. Values were expressed as % of total energy intake and were denominated as a continuous variable and in quintiles. Diet quality was assessed with the American Heart Association 2020 and the Healthy Eating Index 2015. Biological ageing was assessed using the PhenoAge algorithm.

Results: For each 10% of energy intake accounted for by UPF, participants were 0.21 (95%CI 0.16-0.26) years biologically older in terms of PhenoAge. As compared to participants in the lowest UPF quintile (≤39%), those in the highest UPF quintile (68-100%) were 0.86 (95% CI 0.55, 1.16) years older (P-for-trend across quintiles ≤0.001). Adherence to a healthy diet moderately attenuated the relationship between UPF and PhenoAge (adjusted β = 0.14 per 10% increment of UPF).

Conclusions: Adults with higher UPF tended to be biologically older. This association is partly independent of diet quality, suggesting that food processing may contribute to biological ageing acceleration. Our findings point to a compelling reason to target UPF consumption to promote healthier ageing.

References

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

Parker D, Bartlett B, Cohen H, Fillenbaum G, Huebner J, Kraus V . Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults. J Gerontol A Biol Sci Med Sci. 2019; 75(9):1671-1679. PMC: 7494046. DOI: 10.1093/gerona/glz219. View

Martinez Steele E, Monteiro C . Association between Dietary Share of Ultra-Processed Foods and Urinary Concentrations of Phytoestrogens in the US. Nutrients. 2017; 9(3). PMC: 5372872. DOI: 10.3390/nu9030209. View

Al-Naggar I, Newman J, Kuchel G . Letter to the Editor: Healthy Eating Patterns: A Stealthy Geroscience-Guided Approach to Enhancing the Human Healthspan. J Nutr Health Aging. 2023; 27(3):238-239. PMC: 10164447. DOI: 10.1007/s12603-023-1897-1. View

Lloyd-Jones D, Hong Y, Labarthe D, Mozaffarian D, Appel L, Van Horn L . Defining and setting national goals for cardiovascular health promotion and disease reduction: the American Heart Association's strategic Impact Goal through 2020 and beyond. Circulation. 2010; 121(4):586-613. DOI: 10.1161/CIRCULATIONAHA.109.192703. View

Martinez Steele E, OConnor L, Juul F, Khandpur N, Baraldi L, Monteiro C . Identifying and Estimating Ultraprocessed Food Intake in the US NHANES According to the Nova Classification System of Food Processing. J Nutr. 2023; 153(1):225-241. PMC: 10127522. DOI: 10.1016/j.tjnut.2022.09.001. View

Yang G, Cao X, Li X, Zhang J, Ma C, Zhang N . Association of Unhealthy Lifestyle and Childhood Adversity With Acceleration of Aging Among UK Biobank Participants. JAMA Netw Open. 2022; 5(9):e2230690. PMC: 9449787. DOI: 10.1001/jamanetworkopen.2022.30690. View

Thomas A, Belsky D, Gu Y . Healthy Lifestyle Behaviors and Biological Aging in the U.S. National Health and Nutrition Examination Surveys 1999-2018. J Gerontol A Biol Sci Med Sci. 2023; 78(9):1535-1542. PMC: 10460553. DOI: 10.1093/gerona/glad082. View

Campisi J, Kapahi P, Lithgow G, Melov S, Newman J, Verdin E . From discoveries in ageing research to therapeutics for healthy ageing. Nature. 2019; 571(7764):183-192. PMC: 7205183. DOI: 10.1038/s41586-019-1365-2. View

10.

Belsky D, Baccarelli A . To promote healthy aging, focus on the environment. Nat Aging. 2023; 3(11):1334-1344. DOI: 10.1038/s43587-023-00518-7. View

11.

Monteiro C, Cannon G, Levy R, Moubarac J, Louzada M, Rauber F . Ultra-processed foods: what they are and how to identify them. Public Health Nutr. 2019; 22(5):936-941. PMC: 10260459. DOI: 10.1017/S1368980018003762. View

12.

Barzilai N, Cuervo A, Austad S . Aging as a Biological Target for Prevention and Therapy. JAMA. 2018; 320(13):1321-1322. DOI: 10.1001/jama.2018.9562. View

13.

Belsky D, Moffitt T, Cohen A, Corcoran D, Levine M, Prinz J . Eleven Telomere, Epigenetic Clock, and Biomarker-Composite Quantifications of Biological Aging: Do They Measure the Same Thing?. Am J Epidemiol. 2017; 187(6):1220-1230. PMC: 6248475. DOI: 10.1093/aje/kwx346. View

14.

Scott A . The longevity economy. Lancet Healthy Longev. 2022; 2(12):e828-e835. DOI: 10.1016/S2666-7568(21)00250-6. View

15.

Cardoso B, Machado P, Martinez Steele E . Association between ultra-processed food consumption and cognitive performance in US older adults: a cross-sectional analysis of the NHANES 2011-2014. Eur J Nutr. 2022; 61(8):3975-3985. PMC: 9596521. DOI: 10.1007/s00394-022-02911-1. View

16.

Baker P, Machado P, Santos T, Sievert K, Backholer K, Hadjikakou M . Ultra-processed foods and the nutrition transition: Global, regional and national trends, food systems transformations and political economy drivers. Obes Rev. 2020; 21(12):e13126. DOI: 10.1111/obr.13126. View

17.

Lopez-Otin C, Blasco M, Partridge L, Serrano M, Kroemer G . The hallmarks of aging. Cell. 2013; 153(6):1194-217. PMC: 3836174. DOI: 10.1016/j.cell.2013.05.039. View

18.

Ferrucci L, Gonzalez-Freire M, Fabbri E, Simonsick E, Tanaka T, Moore Z . Measuring biological aging in humans: A quest. Aging Cell. 2019; 19(2):e13080. PMC: 6996955. DOI: 10.1111/acel.13080. View

19.

Reedy J, Lerman J, Krebs-Smith S, Kirkpatrick S, Pannucci T, Wilson M . Evaluation of the Healthy Eating Index-2015. J Acad Nutr Diet. 2018; 118(9):1622-1633. PMC: 6718954. DOI: 10.1016/j.jand.2018.05.019. View

20.

Wang S, Li W, Li S, Tu H, Jia J, Zhao W . Association between plant-based dietary pattern and biological aging trajectory in a large prospective cohort. BMC Med. 2023; 21(1):310. PMC: 10433678. DOI: 10.1186/s12916-023-02974-9. View