Evidence map›Paper›PMID 34839456›Full record

ArticleJournal of neurology2022

Population-attributable fractions of risk factors for all-cause dementia in China rural and urban areas: a cross-sectional study.

Fei-Fei Hu, Gui-Rong Cheng, Dan Liu, Qian Liu, Xu-Guang Gan, Lin Li, Xiao-Dan Wang, Bo Zhang, Li-Na An, Cong Chen and 28 more

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Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 pooled it
–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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Social connectedness and cognitive outcomes in rural middle- to older-age adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  19. Altered functional activity in the right superior temporal gyrus in patients with definite vestibular migraine.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023
    Article
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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

38 authors.

Fei-Fei Hu *Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Gui-Rong Cheng *Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Dan Liu *Brain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Qian Liu *Department of Nutrition and Food Science, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Xu-Guang GanBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Lin LiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Xiao-Dan WangTianjin Key Laboratory of Cerebrovascular and of Neurodegenerative Diseases, Department of Neurology, Tianjin Dementia Institute, Tianjin Huanhu Hospital, Tianjin, 300350, China.
Bo ZhangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Li-Na AnBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Cong ChenBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Ming-Jun ZouBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Lang XuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Yang-Ming OuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Yu-Shan ChenBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Jin-Quan LiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Zhen WeiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Yue-Yi WangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Qiong WuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Xing-Xing ChenBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Xi-Fei YangKey Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, No. 8, Longyuan Road, Nanshan District, Shenzhen, 518055, China.
Qing-Ming WuTianyou Hospital affiliated to Wuhan University of Science and Technology, Wuhan, China.
Lei FengDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jing-Jing ZhangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Heng XuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Ya-Fu YuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Meng-Liu YangBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Jin QianBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Peng-Fei LianBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Li-Yan FuBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Ting-Ting DuanBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Yuan TianBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Xi ChengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Xin-Wen LiBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Pin-Ting YanBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Guowei HuangDepartment of Nutrition and Food Science, Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
Hongxin DongBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China.
Yong JiDepartment of Neurology, Beijing Tiantan Hospital, China National Clinical Research Center for Neurological Diseases, Capital Medical University, Beijing, 100070, China. jiyongusa@126.com.
Yan ZengBrain Science and Advanced Technology Institute, Wuhan University of Science and Technology, West Huangjiahu Road, Hongshan District, Wuhan, 430065, China. zengyan68@wust.edu.cn.ORCID http://orcid.org/0000-0002-5119-5448

Funding

Ministry of Science and Technology of China 2020YFC2006000National Natural Science Foundation of China 71774127National Natural Science Foundation of China 81730091National Natural Science Foundation of China 81870901National Natural Science Foundation of China 81903278National Natural Science Foundation of China 82071272
6 · The paper itself

Abstract

backgroundThe prevalence of dementia in China, particularly in rural areas, is consistently increasing; however, research on population-attributable fractions (PAFs) of risk factors for dementia is scarce.

methodsWe conducted a cross-sectional survey, namely, the China Multicentre Dementia Survey (CMDS) in selected rural and urban areas from 2018 to 2020. We performed face-to-face interviews and neuropsychological and clinical assessments to reach a consensus on dementia diagnosis. Prevalence and weighted PAFs of eight modifiable risk factors (six classical: less childhood education, hearing impairment, depression, physical inactivity, diabetes, and social isolation, and two novels: olfactory decline and being unmarried) for all-cause dementia were estimated.

resultsOverall, CMDS included 17,589 respondents aged ≥ 65 years, 55.6% of whom were rural residents. The age- and sex-adjusted prevalence for all-cause dementia was 9.11% (95% CI 8.96-9.26), 5.19% (5.07-5.31), and 11.98% (11.8-12.15) in the whole, urban, and rural areas of China, respectively. Further, the overall weighted PAFs of the eight potentially modifiable risk factors were 53.72% (95% CI 52.73-54.71), 50.64% (49.4-51.89), and 56.54% (55.62-57.46) in the whole, urban, and rural areas of China, respectively. The eight risk factors' prevalence differed between rural and urban areas. Lower childhood education (PAF: 13.92%) and physical inactivity (16.99%) were primary risk factors in rural and urban areas, respectively.

conclusionsThe substantial urban-rural disparities in the prevalence of dementia and its risk factors exist, suggesting the requirement of resident-specific dementia-prevention strategies.

Indexed as

DementiaRural PopulationChildChinaCross-Sectional StudiesHumansPrevalenceRisk FactorsUrban PopulationChinaDementiaPopulation-attributable fractionsRisk factor

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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.