Evidence map›Paper›PMID 39026988›Full record

ArticleFrontiers in aging neuroscience2024

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

Simeng Sun, Ting Zhang, Hao Yu, Ting Xia, Yunan Yao, Mengting Sun, Hongmei Liang, Qiaoyu Huang, Weiwei Wang, Huafeng Yang and 1 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Alzheimer's disease and dementia in Japan: Epidemiological trends, regional disparities, and future projections.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Simeng Sun *Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Ting Zhang *Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Hao Yu *Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Ting XiaMonash Addiction Research Centre, Monash University, Clayton, VIC, Australia.
Yunan YaoNantong Center for Disease Control and Prevention, Nantong, Jiangsu, China.
Mengting SunNanjing Drum Tower Hospital, Nanjing, Jiangsu, China.
Hongmei LiangXinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qiaoyu HuangNanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Weiwei WangNanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Huafeng YangNanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Xin HongNanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With 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). Objective: This 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. Methods: The 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. Results: From 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. Conclusion: Time 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.

Indexed as

Alzheimer’s diseasehigh body mass indexhigh fasting plasma glucosemetabolic risksrisk factorssmokingtime trends

Identifiers

PMID39026988
PMCPMC11256009

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.