Association between Body Mass Index and Brain Health in Adults:A 16-Year Population-Based Cohort and Mendelian Randomization Study  

作　　者：Han Lv Na Zeng Mengyi Li Jing Sun Ning Wu Mingze Xu Qian Chen Xinyu Zhao Shuohua Chen Wenjuan Liu Xiaoshuai Li Pengfei Zhao Max Wintermark Ying Hui Jing Li Shouling Wu Zhenchang Wang 

机构地区：[1]Department of Radiology,Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China [2]Peking University School of Public Health,Beijing 100191,China [3]Department of General Surgery,Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China [4]Department of Medical Imaging Technology,Capital Medical University Yanjing College,Beijing 101300,China [5]Center for MRI Research,Peking University Academy for Advanced Interdisciplinary Studies,Beijing 100871,China [6]Clinical Epidemiology and Evidence-based Medicine Unit,Beijing Friendship Hospital,Capital Medical University,Beijing 100050,China [7]Department of Cardiology,Kailuan General Hospital,Hebei,Tangshan 063000,China [8]Department of Neuroradiology,The University of Texas MD Anderson Cancer Center,Houston,TX 78701,USA [9]Department of Radiology,Kailuan General Hospital,Hebei,Tangshan 063000,China [10]Department of Radiology,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing,China

出　　处：《Health Data Science》2024年第1期341-354,共14页健康数据科学(英文)

基　　金：supported by the National Natural Science Foundation of China(62171297 and 61931013);Natural Science Foundation of Beijing Municipality(7242267);Beijing Scholars Program([2015]160).

摘　　要：Background:The cumulative effect of body mass index(BMI)on brain health remains ill-deffned.The effects of overweight on brain health across different age groups need clariffcation.We analyzed the effect of cumulative BMI on neuroimaging features of brain health in adults of different ages.Methods:This study was based on a multicenter,community-based cohort study.We modeled the trajectories of BMI over 16 years to evaluate cumulative exposure.Multimodality neuroimaging data were collected once for volumetric measurements of the brain macrostructure,white matter hyperintensity(WMH),and brain microstructure.We used a generalized linear model to evaluate the association between cumulative BMI and neuroimaging features.Two-sample Mendelian randomization analysis was performed using summary level of BMI genetic data from 681,275 individuals and neuroimaging genetic data from 33,224 individuals to analyze the causal relationships.Results:Clinical and neuroimaging data were obtained from 1,074 adults(25 to 83 years).For adults aged under 45 years,brain volume differences in participants with a cumulative BMI of>26.2 kg/m^(2) corresponded to 12.0 years[95%conffdence interval(CI),3.0 to 20.0]of brain aging.Differences in WMH were statistically substantial for participants aged over 60 years,with a 6.0-ml(95%CI,1.5 to 10.5)larger volume.Genetic analysis indicated causal relationships between high BMI and smaller gray matter and higher fractional anisotropy in projection ffbers.Conclusion:High cumulative BMI is associated with smaller brain volume,larger volume of white matter lesions,and abnormal microstructural integrity.Adults younger than 45 years are suggested to maintain their BMI below 26.2 kg/m^(2) for better brain health.Trial Registration:This study was registered on clinicaltrials.gov(Clinical Indicators and Brain Image Data:A Cohort Study Based on Kailuan Cohort;No.NCT05453877;https://clinicaltrials.gov/ct2/show/NCT05453877).

关 键 词：COHORT YOUNGER MAINTAIN 

分 类 号：R74[医药卫生—神经病学与精神病学]