Abstract
ObjectivesOur study aimed to investigate the association of dietary diversity score (DDS), as reflected by five dietary categories, with biological age acceleration. DesignA cross-sectional study. Setting and participantsThis study included 88,039 individuals from the UK Biobank. MethodsBiological 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. ResultsAfter adjusting for multiple variables, DDS was inversely associated with KDMAccel (βHigh vs Low = −0.403, 95%CI: −0.492 to −0.314, P < 0.001) and PhenoAgeAccel (βHigh 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 (βKDMAccel = −0.252, βPhenoAgeAccel = −0.197), vegetables (βKDMAccel = −0.044, βPhenoAgeAccel = −0.077) and fruits (βKDMAccel = −0.179, βPhenoAgeAccel = −0.219) was inversely associated with the two AgeAccel, while meat and protein alternatives (βKDMAccel = 0.091, βPhenoAgeAccel = 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. ConclusionsThis 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.
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