Evidence map›Paper›PMID 39932404›Full record

ArticleJournal of internal medicine2025

Clinical, biological, and neuroimaging profiles for motoric cognitive risk syndrome in older adults: The MIND-China study.

Xiaolei Han, Qi Han, Xiaojie Wang, Rui Liu, Mingqing Zhao, Chaoqun Wang, Jiafeng Wang, Lin Song, Xiaojuan Han, Yi Dong and 6 more

Abstract read
In one paragraph

Article in Journal of internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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  4. Review
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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

16 authors.

Xiaolei HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Qi HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Xiaojie WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Rui LiuDepartment of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Mingqing ZhaoDepartment of Rehabilitation, Xuanwu Hospital Affiliated to Capital Medical University Beijing, Beijing, P. R. China.
Chaoqun WangInstitute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang, P. R. China.
Jiafeng WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Lin SongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Xiaojuan HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Yi DongKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Giulia GrandeAging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Solna, Stockholm, Sweden.ORCID 0000-0001-6312-3815
Miia KivipeltoDivision of Clinical Geriatrics and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Tiia NganduDivision of Clinical Geriatrics and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Yifeng DuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.
Yongxiang WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.ORCID 0000-0002-8832-7301
Chengxuan QiuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Department of Neurology, Ministry of Education, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, P. R. China.

Funding

Academic Promotion Program of Shandong First Medical University 2019QL020Alzheimer's Association AACSFD-22-922844Brain Science and Brain-like Intelligence Technology Research Projects of China 2021ZD0201801Brain Science and Brain-like Intelligence Technology Research Projects of China 2021ZD0201808Integrated Traditional Chinese and Western Medicine Program in Shandong Province YXH2019ZXY008National Key R&D Program of the Ministry of Science and Technology of China 2017YFC1310100National Natural Science Foundation of China 81772448National Natural Science Foundation of China 81861138008National Natural Science Foundation of China 82171175Natural Science Foundation of Shandong Province ZR2021MH005Natural Science Foundation of Shandong Province ZR2023QH212Swedish Foundation for International Cooperation in Research and Higher Education CH2019-8320Swedish Research Council 2017-05819Swedish Research Council 2020-01574Swedish Research Council for Working Life, Health and Welfare 2023-01125
6 · The paper itself

Abstract

backgroundMotoric cognitive risk syndrome (MCR) has been associated with dementia, functional dependence, and mortality. We sought to describe the prevalence and distribution of MCR and to explore the clinical, biological, and neuroimaging profiles for MCR in rural-dwelling Chinese older adults.

methodsThis population-based study included 5021 dementia- and disability-free participants (mean age 70.3 years) in MIND-China. Of these, data were available in 1186 for blood biomarkers of Alzheimer's disease and vascular injury and in 1159 for structural brain magnetic resonance imaging biomarkers. MCR was defined as having both subjective memory complaints and gait speed ≥1 standard deviation below the age- and sex-specific means. Data were analyzed using logistic regression models and voxel-based morphometry methods.

resultsThe overall prevalence of MCR was 13.58%, which was higher in females than in males and increased with age. Controlling for demographic and lifestyle factors, obesity, diabetes, dyslipidemia, coronary heart disease, stroke, osteoarthritis, hip fracture, and depressive symptoms were significantly associated with an elevated likelihood of MCR (p < 0.05). MCR was significantly associated with smaller volumes of the total brain tissue, thalamus, hippocampus, cerebellum, insula, supplementary motor area, and inferior frontal gyrus, higher volumes of white matter hyperintensities, and an increased likelihood of lacunes (all p < 0.05), but not with any of the examined blood biomarkers (p > 0.05).

conclusionsMCR affects approximately one-seventh of rural-dwelling Chinese older adults. The clinical and neuroimaging profiles for MCR are characterized by cardiometabolic disorders, osteoarthritis, hip fracture, and depressive symptoms as well as global and regional brain atrophy and cerebral microvascular lesions.

Indexed as

Cognition DisordersNeuroimagingAgedAged, 80 and overBiomarkersBrainChinaFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPrevalenceRisk FactorsWalking SpeedBiomarkersmotoric cognitive risk syndromeneuroimagingplasma AD‐related biomarkerspopulation‐based studyprevalencerural

Identifiers

PMID39932404
PMCPMC11913771

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.