Evidence map›Paper›PMID 33192471›Full record

ArticleFrontiers in aging neuroscience2020

Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study.

Jingzhu Fu, Qian Liu, Yue Du, Yun Zhu, Changqing Sun, Hongyan Lin, Mengdi Jin, Fei Ma, Wen Li, Huan Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  4. Prevalence of mild cognitive impairment in patients with hypertension: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
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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

15 authors at 1 institution in 1 country.

Jingzhu FuDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Qian LiuDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Yue DuTianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
Yun ZhuTianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
Changqing SunNeurosurgical Department of Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Hongyan LinDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Mengdi JinDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Fei MaDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Wen LiDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Huan LiuDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Xumei ZhangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Yongjie ChenTianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
Zhuoyu SunTianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
Guangshun WangDepartment of Tumor, Baodi Clinical College of Tianjin Medical University, Tianjin, China.
Guowei HuangDepartment of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, China.
Tianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations.

objectiveWe aimed to assess the prevalence and risk factors for MCI by age and sex among older adults in a North Chinese population.

methodsIn this population-based cross-sectional study, we enrolled a random sample of 4,943 adults aged ≥ 60 years between March 2018 and June 2019 in Tianjin, China. Of these, 312 individuals were excluded due to a lack of data (e.g., fasting blood test). As a result, 4,631 subjects were assessed. Individuals with MCI were identified using neuropsychological assessments, including the Mini-Mental State Examination and Activities of Daily Living scale, based on a modified version of the Petersen's criteria.

resultsThe mean (SD) age of the 4,631 participants was 67.6 (4.89) years, and 2,579 (55.7%) were female. The overall age- and sex-standardized prevalence of MCI in our study population was 10.7%. There were significant associations of MCI with age [65-69 vs. 60-64 years, OR = 0.74; 95% confidence interval (CI): 0.58, 0.96], physical activity (≥23.0 vs. <23.0 MET-hours/week, OR = 0.79; 95% CI: 0.64, 0.96), body mass index (BMI) (OR = 0.92; 95% CI: 0.89, 0.95), grip strength (OR = 0.50; 95% CI: 0.38, 0.67), hypertension (yes vs. no, OR = 1.44; 95% CI: 1.18, 1.77), higher levels of sleepiness (OR = 1.80; 95% CI: 1.36, 2.37), and longer sleep duration (OR = 1.40; 95% CI: 1.14, 1.72). The inverse association between BMI and MCI was stronger in older age groups (

conclusionThe age- and sex-standardized prevalence of MCI was 10.7% in the study sample. Physical activity, BMI, grip strength, sleepiness, sleep duration, and hypertension were associated with the prevalence of MCI. Additionally, triglycerides and BMI might be differently associated with the presence of MCI for different sexes and age stages, respectively.

Indexed as

age differencesmild cognitive impairmentolder adultsprevalencerisk factorssex differences

Identifiers

PMID33192471
PMCPMC7662098
OpenAlexW3097403964

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.