Evidence mapPaperPMID 33485307Full record

ArticleBMC psychiatry2021

Body mass index and mild cognitive impairment among rural older adults in China: the moderating roles of gender and age.

Yemin Yuan, Jie Li, Nan Zhang, Peipei Fu, Zhengyue Jing, Caiting Yu, Dan Zhao, Wenting Hao, Chengchao Zhou

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
5.3field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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  19. Evaluating the neuropeptide-social cognition link in ageing: the mediating role of basic cognitive skills.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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.

Yemin YuanCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Jie LiCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Nan ZhangManchester Institute for Collaborative Research on Ageing, Social Statistics, School of Social Sciences, The University of Manchester, Manchester, UK.
Peipei FuCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Zhengyue JingCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Caiting YuCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Dan ZhaoCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Wenting HaoCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Chengchao ZhouCentre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. zhouchengchao@sdu.edu.cn.ORCID 0000-0002-9364-3579
Shandong University · CNUniversity of Manchester · GB

Funding

Cheeloo Youth Scholar Grant Not applicableChina Medical Board 16-257National Natural Science Foundation of China 71473152National Natural Science Foundation of China 71774104National Natural Science Foundation of China 71974117Shandong University 2012DX006Shandong University IFYT1810
6 · The paper itself

Abstract

backgroundEvidence concerning the association between body mass index (BMI) and cognitive function among older people is inconsistent. This study aimed to investigate gender and age as moderators in association between BMI and mild cognitive impairment (MCI) among rural older adults.

methodsData were derived from the 2019 Health Service for Rural Elderly Families Survey in Shandong, China. In total, 3242 people aged 60 years and above were included in the analysis. Multilevel mixed-effects logistic regression was used to examine the moderating roles of gender and age, then further to explore the relationship between BMI and MCI.

resultsThere were 601 (18.5%) participants with MCI. Compared with normal BMI group, low BMI group had a higher risk of MCI among older people [adjusted odds ratio (aOR) = 2.08, 95% confidence interval (CI): 1.26-3.44], women (aOR = 2.06, 95% CI: 1.35-3.12), or the older elderly aged ≥75 years old (aOR = 3.20, 95% CI: 1.34-7.45). This effect remained statistically significant among older women (aOR = 3.38, 95% CI: 1.69-6.73). Among older men, elevated BMI group had a higher risk of MCI (aOR = 2.32, 95% CI: 1.17-4.61) than normal BMI group.

conclusionsGender and age moderated the association between BMI and MCI among Chinese rural older adults. Older women with low BMI were more likely to have MCI, but older men with elevated BMI were more likely to have MCI. These findings suggest rural community managers strengthen the health management by grouping the weight of older people to prevent the risk of dementia.

Indexed as

Cognitive DysfunctionRural PopulationAgedAged, 80 and overBody Mass IndexChinaCognitionFemaleHumansMaleMiddle AgedRisk FactorsAge differenceBody mass indexGender differenceMild cognitive impairmentOlder adults

Identifiers

PMID33485307
PMCPMC7825154
OpenAlexW3125194583

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.