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Time trends in Alzheimer’s disease mortality attributable to metabolic risks and smoking in China from 1990 to 2019: an age-period-cohort analysis

Authors :
Simeng Sun
Ting Zhang
Hao Yu
Ting Xia
Yunan Yao
Mengting Sun
Hongmei Liang
Qiaoyu Huang
Weiwei Wang
Huafeng Yang
Xin Hong
Source :
Frontiers in Aging Neuroscience, Vol 16 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

BackgroundWith the increase in the aging population worldwide, Alzheimer’s disease has become a rapidly increasing public health concern. In the Global Burden of Disease Study 2019, there are three risk factors judged to have evidence for a causal link to Alzheimer’s disease and other dementias: smoking, high body-mass index (HBMI), and high fasting plasma glucose (HFPG).ObjectiveThis study aimed to analyze trends in AD mortality and the relevant burden across China from 1990 to 2019, as well as their correlation with age, period, and birth cohort.MethodsThe data were extracted from the GBD 2019. Trends in AD mortality attributable to metabolic risks (HFPG and HBMI) and smoking were analyzed using Joinpoint regression. The age-period-cohort (APC) model was used to evaluate cohort and period effects.ResultsFrom 1990 to 2019, the overall age-standardized mortality rate of AD increased, especially in women. There was an increase in AD mortality due to smoking in the net drift, and it was more significant in women (0.46, 95%CI = [0.09, 0.82]) than men (−0.03, 95%CI = [−0.11, 0.05]). For the cause of HFPG, the net drift values for men and women were 0.82% and 0.43%. For HBMI, the values were 3.14% and 2.76%, respectively, reflecting substantial increases in AD mortality.ConclusionTime trends in AD mortality caused by metabolic risks and smoking in China from 1990 to 2019 have consistently increased. Therefore, it is necessary to prevent excessive weight gain and obesity during the later stages of life, especially for females.

Details

Language :
English
ISSN :
16634365
Volume :
16
Database :
Directory of Open Access Journals
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.f273ae1cc949fb88a1209485a89e5e
Document Type :
article
Full Text :
https://doi.org/10.3389/fnagi.2024.1425577