Disease burden of Alzheimer′s disease and other dementias in Chinese residents between 1990 and 2019: an age-period-cohort analysis and prediction

ZHANG Jing-ya; LU Yong-bo; LI Hao-ran

doi:10.11847/zgggws1138308

Volume 38 Issue 5

May 2022

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Article Navigation > Chinese Journal of Public Health > 2022 > 38(5): 523-528

ZHANG Jing-ya, LU Yong-bo, LI Hao-ran, . Disease burden of Alzheimer′s disease and other dementias in Chinese residents between 1990 and 2019: an age-period-cohort analysis and prediction[J]. Chinese Journal of Public Health, 2022, 38(5): 523-528. doi: 10.11847/zgggws1138308

Citation:

ZHANG Jing-ya, LU Yong-bo, LI Hao-ran, . Disease burden of Alzheimer′s disease and other dementias in Chinese residents between 1990 and 2019: an age-period-cohort analysis and prediction[J]. Chinese Journal of Public Health, 2022, 38(5): 523-528. doi: 10.11847/zgggws1138308

Citation:

ZHANG Jing-ya, LU Yong-bo, LI Hao-ran, . Disease burden of Alzheimer′s disease and other dementias in Chinese residents between 1990 and 2019: an age-period-cohort analysis and prediction[J]. Chinese Journal of Public Health, 2022, 38(5): 523-528. doi: 10.11847/zgggws1138308

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Disease burden of Alzheimer′s disease and other dementias in Chinese residents between 1990 and 2019: an age-period-cohort analysis and prediction

doi: 10.11847/zgggws1138308

1.
School of Public Policy and Administration, Xi′an Jiaotong University, Xi′an, Shaanxi Province 710049, China

Received Date: 2022-02-23
Available Online: 2022-04-29
Publish Date: 2022-05-20

Abstract

Abstract

Objective To examine changing trend in disease burden of Alzheimer′s disease and other dementias in China for providing suggestions to prevention and treatment of senile dementia. Methods The data on the incidence, mortality, years of life lost (YLL), years lived with disability (YLD), and disability adjusted life years (DALY) of Alzheimer′s disease and other dementias in Chinese population aged 55 years and above during 1990 – 2019 were extracted from the Global Burden of Disease Study 2019 (GBD 2019). The effects of age, period and cohort on the disease burden due to senile dementia were assessed with an age-period-cohort (APC) model. The incidence rate of senile dementia in next 30 years in China were also predicted based on the estimated changing trend in senile dementia morbidity and population profile. Results The analyses revealed following changing trends for senile dementia during the 30-year period in China: increasing in standardized incidence rate, standardized YLD rate and standardized DALY rate but decreasing in standardized mortality rate and standardized YLL rate. The results of APC model analysis showed that the risk of senile dementia increased with age and time series but decreased with year of birth during the period. The prediction results showed that the incidence rate of senile dementia would continue to rise in the next 30 years in China according to predictive analysis using Bayesian APC model. The estimated incidence rate of senile dementia in 2049 among Chinese population aged 55 – 94 years is 9.651‰ and the estimated incidence rate is 11.419‰ and 7.302‰ for female and male elderly population. Conclusion The disease burden of senile dementia increased in China during 1990 – 2019 and the increase in senile dementia risk was dominantly influenced by age effect and period effect. A continuous increase in the incidence rate of the disease, especially among elderly female population, is predicted. The results suggest that targeted health education and specific intervention program should be promoted for the control of the disease in the elderly population.
- senile dementia,
- Alzheimer′s disease,
- disease burden,
- disability adjusted life year

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References(16)

References

[1]	Hagewoud R, Havekes R, Novati A, et al. Sleep deprivation impairs spatial working memory and reduces hippocampal AMPA receptor phosphorylation[J]. Journal of Sleep Research, 2010, 19(2): 280 – 288.
[2]	卫文. 2050年全球老年痴呆患者将过亿[J]. 家庭医学: 上半月, 2008(12): 30.
[3]	任汝静, 殷鹏, 王志会, 等. 中国阿尔茨海默病报告2021[J]. 诊断学理论与实践, 2021, 20(4): 317 – 337.
[4]	屈彦, 王天一, 杨津, 等. GBD数据库的数据提取方法与流程[J]. 中国循证心血管医学杂志, 2019, 11(9): 1043 – 1046. doi: 10.3969/j.issn.1674-4055.2019.09.04
[5]	联合国经济和社会事务部人口司. 世界人口展望2019年[M]. 纽约: 联合国, 2019.
[6]	石智雷, 顾嘉欣, 傅强. 社会变迁与健康不平等 —— 对第五次疾病转型的年龄 – 时期 – 队列分析[J]. 社会学研究, 2020, 35(6): 160 – 185.
[7]	Fu WJ. Ridge estimator in Singulah Oesiun with application to age - period - cohort analysis of disease rates[J]. Communications in Statistics – Theory and Methods, 2000, 29(2): 263 – 278. doi: 10.1080/03610920008832483
[8]	Yang Y, Schulhofer-Wohl S, Fu WJ, et al. The intrinsic estimator for age - period - cohort analysis: what it is and how to use it[J]. American Journal of Sociology, 2008, 113(6): 1697 – 1736. doi: 10.1086/587154
[9]	Miranda MDM, Nielsen B, Nielsen JP. Inference and forecasting in the age - period - cohort model with unknown exposure with an application to mesothelioma mortality[J]. Journal of the Royal Statistical Society. Series A (Statistics in Society), 2015, 178(1): 29 – 55. doi: 10.1111/rssa.12051
[10]	黄磊, 孟令昊, 欧汝威, 等. 1990 — 2019年中国人群阿尔茨海默病与其他痴呆症的疾病负担分析[J]. 现代预防医学, 2021, 48(14): 2515 – 2519,2537.
[11]	郗建雄, 肖千一, 丁玎, 等. 胆固醇与阿尔兹海默病[J]. 中国公共卫生, 2020, 36(2): 257 – 260. doi: 10.11847/zgggws1127346
[12]	欧阳雁玲, 尹尚菁. 我国老年痴呆流行现状及防治策略研究[J]. 中国软科学, 2019(6): 50 – 58. doi: 10.3969/j.issn.1002-9753.2019.06.005
[13]	仇成轩, 杜怡峰. 重视阿尔茨海默病和老年痴呆症的人群干预研究[J]. 山东大学学报(医学版), 2017, 55(10): 1 – 7.
[14]	李笑阳, 刘冠含, 尹昊文, 等. 中国老年人群阿尔茨海默病发病危险因素的Meta分析[J]. 现代预防医学, 2020, 47(6): 1100 – 1103, 1119.
[15]	张梦迪, 常福厚. 阿尔茨海默病发病的高危因素研究进展[J]. 中国药理学与毒理学杂志, 2019, 33(6): 458.
[16]	袁丽品, 冯艳, 李学, 等. 血管性痴呆患者性别、严重程度与血浆同型半胱氨酸、C反应蛋白、D – 二聚体、生活方式的相关性[J]. 中国老年学杂志, 2017, 37(4): 876 – 879. doi: 10.3969/j.issn.1005-9202.2017.04.041