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张静雅, 鲁永博, 李浩然, 何荣鑫, 张宁, 朱斌, 毛瑛. 中国居民1990 — 2019年老年痴呆症疾病负担年龄–时期–队列分析及预测[J]. 中国公共卫生, 2022, 38(5): 523-528. DOI: 10.11847/zgggws1138308
引用本文: 张静雅, 鲁永博, 李浩然, 何荣鑫, 张宁, 朱斌, 毛瑛. 中国居民1990 — 2019年老年痴呆症疾病负担年龄–时期–队列分析及预测[J]. 中国公共卫生, 2022, 38(5): 523-528. DOI: 10.11847/zgggws1138308
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

中国居民1990 — 2019年老年痴呆症疾病负担年龄–时期–队列分析及预测

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

  • 摘要:
      目的  了解中国老年痴呆症疾病负担变化趋势,为开展老年痴呆症防治工作提供建议。
      方法  收集1990 — 2019年中国老年痴呆症发病率、死亡率、YLL、YLD、DALY等数据,分析中国老年痴呆症疾病负担现状和中国老年痴呆症发病率的年龄时期队列效应,并结合人口数据预测未来30年内老年痴呆症的发病率和发病数。
      结果  1990 — 2019年中国老年痴呆症的标化死亡率呈现下降趋势、标化发病率呈现上升趋势、标化YLD率呈现上升趋势、标化YLL率呈现下降趋势、标化DALY率呈现上升趋势。APC模型显示,1990 — 2019年中国老年痴呆症的发病风险均随着年龄的增长而增加,随时间的推移而增加,随出生年份的推移而降低。预测结果显示,2020 — 2049年中国老年痴呆症发病率将持续上升。2049年全人群发病率为9.651 ‰,女性发病率为11.419 ‰,男性发病率为7.302 ‰。
      结论  ①中国老年痴呆症的疾病负担呈现上升趋势。②中国老年痴呆症发病风险的年龄效应及时期效应占主导地位③中国老年痴呆症发病率将持续上升,女性发病率明显高于男性。建议结合老年痴呆症发病风险的可控因素实施健康干预、针对不同群体合理开展健康促进项目、重点关注女性群体的老年痴呆症防治问题。

     

    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.

     

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