Evidence map›Paper›PMID 24751796›Full record

ArticleNeuroepidemiology2014

Prevalence of cognitive impairment no dementia in a rural area of Northern China.

Ying Zhang, Zhihong Shi, Mengyuan Liu, Shuai Liu, Wei Yue, Shuling Liu, Lei Xiang, Hui Lu, Ping Liu, Thomas Wisniewski and 2 more

Abstract read
In one paragraph

Article in Neuroepidemiology, 2014. 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
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Correlates of Mild Cognitive Impairment of Community-Dwelling Older Adults in Wuhan, China.International journal of environmental research and public health · 2018
    Article
  7. Cognitive Impairment in Rural Elderly Population in Ecuador.Journal of neurosciences in rural practice · 2017
    Article
  8. Staging cognitive impairment and incidence of dementia.Epidemiology and psychiatric sciences · 2016
    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

12 authors at 1 institution in 1 country.

Ying ZhangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, PR China.
Zhihong Shi
Mengyuan Liu
Shuai Liu
Wei Yue
Shuling Liu
Lei Xiang
Hui Lu
Ping Liu
Thomas Wisniewski
Jinhuan Wang
Yong Ji
Tianjin Huanhu Hospital · CN

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MITTELMAN, MARY SHERMAN · 1990 to 2019
$36.1M
Detection and Clearance of AD LesionsR01AG020245 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WISNIEWSKI, THOMAS M · 2002 to 2016
$4.7M
Therapeutic Targeting of Abnormal Conformation in Neurodegenerative DiseaseR01NS073502 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WISNIEWSKI, THOMAS M · 2010 to 2019
$3.7M
NIA NIH HHS P30 AG008051NIA NIH HHS R01 AG020245NINDS NIH HHS R01 NS073502
6 · The paper itself

Abstract

objectiveFew data are available on the prevalence of cognitive impairment no dementia (CIND) in rural China. The aim of this study was to estimate the prevalence of CIND in individuals aged 60 years and older in a large rural community, and to analyze the associated risk factors.

methodsA two-phase, door-to-door epidemiological study was used for residents aged 60 years and older in Ji County, a rural county near Tianjin in Northern China. In phase 1 of the study, the Mini-Mental State Examination and Clinical Dementia Rating were administered for screening purposes. In phase 2, the subjects who screened positive were further examined by neurologists. A total of 5,744 individuals underwent the home visit interview, where demographic variables and comorbidities were recorded; 5,550 individuals completed the two phases. CIND was diagnosed by the Aging, Demographics and Memory Study on CIND criteria. The odds ratio (OR) for each risk factor was calculated by logistic regression analysis.

resultsThe prevalence of CIND among those aged 60 years and older was 23.3%. The prevalence of CIND was lower among those with a higher level of education or social involvement. CIND was more prevalent in females, older individuals, those with a past history of stroke, and those living without a partner. Significant risk factors were found by multivariate analyses: past history of stroke (OR = 1.889; 95% CI: 1.437-2.483); being female (OR = 1.546; 95% CI: 1.305-1.832); and having no partner (divorced, widowed or single; OR = 1.250; 95% CI: 1.042-1.499). In turn, level of education (OR = 0.560; 95% CI: 0.460-0.681) and engagement in social activities (OR = 0.339; 95% CI: 0.258-0.404) were protective factors.

conclusionsThis is the first large-scale community-based epidemiological study assessing the prevalence of cognitive loss in the rural Chinese population. The total prevalence of CIND observed was 23.3%, which was higher than in other studies in Western and Asian countries. Living without a partner, female gender and previous stroke increased the risk of CIND, whereas a higher level of education and engagement in social activities reduced the risk of CIND.

Indexed as

AgedAged, 80 and overChinaCognition DisordersComorbidityDementiaEpidemiologic StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsRural HealthRural Population

Identifiers

PMID24751796
PMCPMC4074439
OpenAlexW1994770868

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.