Dietary diversity score and the acceleration of biological aging: a population-based study of 88,039 participants

被引:6
作者
Liu, Ye [1 ]
Kang, Meijuan [1 ]
Wei, Wenming [1 ]
Hui, Jingni [1 ]
Gou, Yifan [1 ]
Liu, Chen [1 ]
Zhou, Ruixue [1 ]
Wang, Bingyi [1 ]
Shi, Panxing [1 ]
Liu, Huan [1 ]
Cheng, Bolun [1 ]
Jia, Yumeng [1 ]
Wen, Yan [1 ]
Zhang, Feng [1 ]
机构
[1] Xi An Jiao Tong Univ, Key Lab Trace Elements & Endem Dis, Natl Hlth & Family Planning Commiss, Sch Publ Hlth,Hlth Sci Ctr, Xian, Peoples R China
关键词
Biological aging; Klemera-Doubal method; PhenoAge; Dietary diversity score; NUTRITION EXAMINATION; NATIONAL-HEALTH; LIFE-SPAN; MORTALITY; AGE;
D O I
10.1016/j.jnha.2024.100271
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objectives: Our study aimed to investigate the association of dietary diversity score (DDS), as reflected by five dietary categories, with biological age acceleration. Design: A cross-sectional study. Setting and participants: This study included 88,039 individuals from the UK Biobank. Methods: Biological age (BA) was assessed using Klemerae-Doubal (KDM) and PhenoAge methods. The difference between BA and chronological age represents the age acceleration (AgeAccel), termed as "KDMAccel" and "PhenoAgeAccel". AgeAccel > 0 indicates faster aging. Generalized linear regression models were performed to assess the associations of DDS with AgeAccel. Similar analyses were performed for the five dietary categories. Results: After adjusting for multiple variables, DDS was inversely associated with KDMAccel (beta(High vs Low) = -0.403, 95%CI: -0.492 to -0.314, P < 0.001) and PhenoAgeAccel (beta(High vs Low) = -0.545, 95%CI: -0.641 to -0.450, P < 0.001). Each 1-point increment in the DDS was associated with a 4.4% lower risk of KDMAccel and a 5.6% lower risk of PhenoAgeAccel. The restricted cubic spline plots demonstrated a non-linear dose-response association between DDS and the risk of AgeAccel. The consumption of grains (beta(KDMAccel) = -0.252, beta(PhenoAgeAccel) = -0.197), vegetables (beta(KDMAccel) = -0.044, beta(PhenoAgeAccel) = -0.077) and fruits (beta(KDMAccel) = -0.179, beta(PhenoAgeAccel) = -0.219) was inversely associated with the two AgeAccel, while meat and protein alternatives (beta(KDMAccel) = 0.091, beta(PhenoAgeAccel) = 0.054) had a positive association (All P < 0.001). Stratified analysis revealed stronger accelerated aging effects in males, smokers, and drinkers. A strengthening trend in the association between DDS and AgeAccel as TDI quartiles increased was noted. Conclusions: This study suggested that food consumption plays a role in aging process, and adherence to a higher diversity dietary is associated with the slowing down of the aging process. (c) 2024 The Author(s). Published by Elsevier Masson SAS on behalf of SERDI Publisher. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:8
相关论文
共 50 条
[1]   Health disparities across the lifespan: Meaning, methods, and mechanisms [J].
Adler, Nancy E. ;
Stewart, Judith .
BIOLOGY OF DISADVANTAGE: SOCIOECONOMIC STATUS AND HEALTH, 2010, 1186 :5-+
[2]   Sex Differences in Lifespan [J].
Austad, Steven N. ;
Fischer, Kathleen E. .
CELL METABOLISM, 2016, 23 (06) :1022-1033
[3]   Accelerated aging in bipolar disorders: An exploratory study of six epigenetic clocks [J].
Bourdon, Celine ;
Etain, Bruno ;
Spano, Luana ;
Belzeaux, Raoul ;
Leboyer, Marion ;
Delahaye-Duriez, Andree ;
Ibrahim, El Cherif ;
Lutz, Pierre-Eric ;
Gard, Sebastien ;
Schwan, Raymund ;
Polosan, Mircea ;
Courtet, Philippe ;
Passerieux, Christine ;
Bellivier, Frank ;
Marie-Claire, Cynthia .
PSYCHIATRY RESEARCH, 2023, 327
[4]   From discoveries in ageing research to therapeutics for healthy ageing [J].
Campisi, Judith ;
Kapahi, Pankaj ;
Lithgow, Gordon J. ;
Melov, Simon ;
Newman, John C. ;
Verdin, Eric .
NATURE, 2019, 571 (7764) :183-192
[5]   Modeling biological age using blood biomarkers and physical measurements in Chinese adults [J].
Chen, Lu ;
Zhang, Yiqian ;
Yu, Canqing ;
Guo, Yu ;
Sun, Dianjianyi ;
Pang, Yuanjie ;
Pei, Pei ;
Yang, Ling ;
Millwood, Iona Y. ;
Walters, Robin G. ;
Chen, Yiping ;
Du, Huaidong ;
Liu, Yongmei ;
Burgess, Sushila ;
Stevens, Rebecca ;
Chen, Junshi ;
Chen, Zhengming ;
Li, Liming ;
Lv, Jun .
EBIOMEDICINE, 2023, 89
[6]   The role of nutrition in inflammaging [J].
Di Giosia, Paolo ;
Stamerra, Cosimo Andrea ;
Giorgini, Paolo ;
Jamialahamdi, Tannaz ;
Butler, Alexandra E. ;
Sahebkar, Amirhossein .
AGEING RESEARCH REVIEWS, 2022, 77
[7]   Evaluation of Dietary Patterns and All-Cause Mortality A Systematic Review [J].
English, Laural K. ;
Ard, Jamy D. ;
Bailey, Regan L. ;
Bates, Marlana ;
Bazzano, Lydia A. ;
Boushey, Carol J. ;
Brown, Clarissa ;
Butera, Gisela ;
Callahan, Emily H. ;
de Jesus, Janet ;
Mattes, Richard D. ;
Mayer-Davis, Elizabeth J. ;
Novotny, Rachel ;
Obbagy, Julie E. ;
Rahavi, Elizabeth B. ;
Sabate, Joan ;
Snetselaar, Linda G. ;
Stoody, Eve E. ;
Van Horn, Linda V. ;
Venkatramanan, Sudha ;
Heymsfield, Steven B. .
JAMA NETWORK OPEN, 2021, 4 (08) :e2122277
[8]   Measuring biological aging in humans: A quest [J].
Ferrucci, Luigi ;
Gonzalez-Freire, Marta ;
Fabbri, Elisa ;
Simonsick, Eleanor ;
Tanaka, Toshiko ;
Moore, Zenobia ;
Salimi, Shabnam ;
Sierra, Felipe ;
de Cabo, Rafael .
AGING CELL, 2020, 19 (02)
[9]   Time and the Metrics of Aging [J].
Ferrucci, Luigi ;
Levine, Morgan E. ;
Kuo, Pei-Lun ;
Simonsick, Eleanor M. .
CIRCULATION RESEARCH, 2018, 123 (07) :740-744
[10]   Physical activity is associated with slower epigenetic ageing-Findings from the Rhineland study [J].
Fox, Fabienne A. U. ;
Liu, Dan ;
Breteler, Monique M. B. ;
Aziz, Nasir Ahmad .
AGING CELL, 2023, 22 (06)