Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases
Adherence to a healthy lifestyle and brain structural imaging markers
First author：Yuesong Pan, Jie Shen, Xueli Cai
Corresponding author：Changzheng Yuan, Yongjun Wang
essential_information
- Person in charge：Yuesong Pan, Jie Shen, Xueli Cai
- Data Sources： PRECISE
- Number of papers：PRECISE20220079
- Published time：2023-04-14
2023-04-14
Published articles
Journal：Eur J Epidemiol
Publication type: Original Contributions
IF(IF): 12.434
PMID: 37060500 Link To Pubmed Full text Download
Background And Purpose
Previous research has linked specific modifiable lifestyle factors to age-related cognitive decline in adults. Little is known about the potential role of an overall healthy lifestyle in brain structure. We investigated the association of adherence to a combination of healthy lifestyle factors with neurodegeneration-related brain structural markers in middle-aged and older adults. The results will be compared and verified with data from UKB.
Method
We examined the association of adherence to a healthy lifestyle with a panel of brain structural markers among 2,413 participants in PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in China and 19,822 participants in UK Biobank (UKB). A healthy lifestyle score (0–5) was constructed based on fve modifable lifestyle factors: diet, physical activity, smoking, alcohol consumption, and body mass index. Validated multimodal neuroimaging markers were derived from brain magnetic resonance imaging.
Conclusion
Adherence to a healthier lifestyle was associated with a lower degree of neurodegeneration-related brain structural markers in middle-aged and older adults
Main results
In the cross-sectional analysis of PRECISE, participants who adopted four or fve low-risk lifestyle factors had larger total brain volume (TBV; β=0.12, 95% CI: −0.02, 0.26; p-trend=0.05) and gray matter volume (GMV; β=0.16, 95% CI: 0.01, 0.30; p-trend=0.05), smaller white matter hyperintensity volume (WMHV; β=−0.35, 95% CI: −0.50, −0.20; p-trend<0.001) and lower odds of lacune (Odds Ratio [OR]=0.48, 95% CI: 0.22, 1.08; p-trend=0.03), compared to those with zero or one low-risk factors. Meanwhile, in the prospective analysis in UKB (with a median of 7.7 years’ follow-up), similar associations were observed between the number of low-risk lifestyle factors (4–5 vs. 0–1) and TBV (β=0.22, 95% CI: 0.16, 0.28; p-trend<0.001), GMV (β=0.26, 95% CI: 0.21, 0.32; p-trend<0.001), white matter volume (WMV; β=0.08, 95% CI: 0.01, 0.15; p-trend=0.001), hippocampus volume (β=0.15, 95% CI: 0.08, 0.22; p-trend<0.001), and WMHV burden (β=−0.23, 95% CI: −0.29, −0.17; p-trend<0.001). Those with four or fve low-risk lifestyle factors showed approximately 2.0–5.8 years of delay in aging of brain structure.