Evidence map›Paper›PMID 36614829›Full record

ArticleJournal of clinical medicine2022

Epidemiological Characteristics and Factors Associated with Alzheimer's Disease and Mild Cognitive Impairment among the Elderly in Urban and Rural Areas of Hubei Province.

Jing Cheng, Xiaoqi Ji, Lu He, Yutong Zhang, Tongtong Xiao, Qiang Geng, Zhihui Wang, Shige Qi, Fang Zhou, Jianbo Zhan

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

10 authors.

Jing ChengSchool of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.ORCID 0000-0002-6145-1003
Xiaoqi JiSchool of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Lu HeSchool of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Yutong ZhangDepartment of Epidemiology and Statistics, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Tongtong XiaoSchool of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Qiang GengSchool of Public Health, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Zhihui WangDepartment of Epidemiology and Statistics, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Shige QiDepartment of Epidemiology and Statistics, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Fang ZhouHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China.
Jianbo ZhanHubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China.

Funding

Education Department of Hubei Province 19Q016Hubei Province Key Laboratory of Occupational Hazard Identification and Control OHIC2019G04National Innovation and Entrepreneurship Training Program for College Students 201810488038
6 · The paper itself

Abstract

Utilize the prevalence, associated factors and population distribution of AD and MCI among residents of the Hubei province aged 60 years or over to prove that elderly people who study and communicate with others, take part in regular physical exercise and choose a healthy lifestyle, will prevent or slow the decline in cognitive ability. If elderly people study and communicate with others, take part in regular physical exercise and choose a healthy lifestyle, can prevent or slow the decline in cognitive ability. A cross-sectional study was used for the recruitment of subjects. The screened patients with AD and MCI were then selected as patients in a case−control study. A total of 4314 subjects were recruited into the study. The prevalence of AD and MCI was 1.44% and 10.04%, respectively. The prevalence of AD and MCI differed significantly as a function of age and gender (p < 0.05). The preventative factors for AD and MCI, separately, included a happy marriage (OR = 0.69, 95%CI: 0.36−1.35) and higher education (OR = 0.65, 95%CI: 0.55−0.78). The risk factors for AD and MCI, separately, included infrequent participation in social activities (OR = 1.00, 95%CI: 0.60−1.66) and infrequent communication with children (OR = 1.35, 95%CI: 1.09−1.69). The prevalence of AD for people aged 60 or over in the Hubei province was lower than the national average of 3.06%. The prevalence of MCI was within the national range (5.2−23.4%). The influencing factors of AD and MCI were associated with the participants’ social connections, lifestyle behaviors, somatic diseases and so on. The elderly people who study and communicate with others, take part in regular physical exercise and choose a healthy lifestyle will prevent or slow the decline in cognitive ability. The conclusion section has been replaced.

Indexed as

Alzheimer’s diseaseepidemiologymild cognitive impairmentprotective factorsrisk factors

Identifiers

PMID36614829
PMCPMC9820890

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Registered trials

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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.