Evidence map›Paper›PMID 30716682›Full record

ArticleArchives of gerontology and geriatrics

Cognitive ageing trajectories and mortality of Chinese oldest-old.

Xiaoqian Hu, Shuyan Gu, Xueshan Sun, Yuxuan Gu, Xuemei Zhen, Yuanyuan Li, Minzhuo Huang, Jingming Wei, Hengjin Dong

Open access · greenAbstract read
In one paragraph

Article in Archives of gerontology and geriatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 7% of its field
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

20 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Cognitive trajectories in older adults and associated mortality and predictors.Social psychiatry and psychiatric epidemiology · 2025
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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

9 authors at 2 institutions in 2 countries.

Xiaoqian HuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: huxiaoqian@zju.edu.cn.
Shuyan GuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: gushuyan@zju.edu.cn.
Xueshan SunCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: sunxueshan@zju.edu.cn.
Yuxuan GuCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: guyuxuan@zju.edu.cn.
Xuemei ZhenCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: zhenxuemei@zju.edu.cn.
Yuanyuan LiCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: sun89521@126.com.
Minzhuo HuangCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: 1031065503@qq.com.
Jingming WeiCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: weijm@zju.edu.cn.
Hengjin DongCenter for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, Hangzhou, China. Electronic address: donghj@zju.edu.cn.
Zhejiang University · CNDepartment of Health Services · US

Funding

Demographic Analysis on Determinants of Healthy Longevity in ChinaR01AG023627 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2004 to 2014
$3.9M
NIA NIH HHS R01 AG023627
6 · The paper itself

Abstract

objectiveThis study aims to identify distinctive cognitive trajectories jointly with mortality probabilities and to explore factors related to the particular trajectories of cognitive ageing in China.

method6842 individuals aged 80 years and above from 7 waves of the Chinese Longitudinal Healthy Longevity Survey were assessed with the Mini-Mental State Examination for up to 16 years. A group-based trajectory model was used to jointly estimate cognitive ageing and mortality trajectories; and to explore the factors related to membership of the trajectory groups.

resultsA four-group model best fit the data. For all groups, the cognitive function declined with age according to different rates. Group 4, 3, 2, and 1 showed slow (prevalence 52.8%), moderate (31.1%), progressive (12.6%) and rapid (3.5%) cognitive decline, respectively. Mortality probability trajectories followed a hierarchy in consistence with cognitive trajectories approximately. Females, illiteracy, and those born in rural areas were less likely to belong to the most favorable trajectory group.

conclusionsThe heterogeneity of cognitive ageing was identified among Chinese oldest-old. Childhood socioeconomic status, especially education, was associated with the rate of cognitive decline.

Indexed as

AgingCognitionAged, 80 and overCognitive DysfunctionFemaleHumansLongevityMaleMental Status and Dementia TestsChinaCognitionGroup-based trajectory modelHeterogeneityMini Mental State examination

Identifiers

PMID30716682
PMCPMC6451875
OpenAlexW2912375386

What OpenQuestion holds

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LicenceTDM
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Registered trials

None linked

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.