Evidence map›Paper›PMID 35711676›Full record

ArticleClinical interventions in aging2022

Association of Cardiovascular Health Metrics with Dementia in Rural Chinese Older Adults: A Population-Based Study.

Xiaolei Han, Yongxiang Wang, Ziying Jiang, Yuanjing Li, Yi Dong, Lin Cong, Tingting Hou, Yajun Liang, Erika J Laukka, Yifeng Du and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 3 institutions in 2 countries.

Xiaolei Han *Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Yongxiang Wang *Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People's Republic of China.
Ziying JiangDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Yuanjing LiAging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
Yi DongDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Lin CongDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Tingting HouDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Yajun LiangAging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
Erika J LaukkaAging Research Center and Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet-Stockholm University, Stockholm, Sweden.
Yifeng DuDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.ORCID 0000-0002-4672-6654
Chengxuan QiuDepartment of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People's Republic of China.
Shandong University · CNStockholm University · SEShandong Provincial Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: We explore the associations of individual and composite cardiovascular health metrics with all-cause dementia, Alzheimer's disease, and vascular dementia among rural-dwelling older adults and the potential age variations in their associations. Patients and Methods: This community-based cross-sectional study included 4980 older adults (age ≥65 years; 57.23% women) from the baseline examination of MIND-China. In March-September 2018, data were collected via face-to-face interviews, clinical examinations, and laboratory test. We defined six cardiovascular health metrics according to the modified American Heart Association's recommendations. We diagnosed dementia and its subtypes following the international criteria. Data were analyzed using logistic regression models. Results: Of all the participants, 250 were diagnosed with dementia, including 165 with Alzheimer's disease and 75 with vascular dementia. Ideal composite global cardiovascular health metrics (vs poor composite metrics) were associated with a multi-adjusted odds ratio (95% confidence interval) of 0.62 (0.42-0.93) for dementia, 0.88 (0.52-1.48) for Alzheimer's disease, and 0.31 (0.16-0.60) for vascular dementia. Moreover, ideal biological cardiovascular health metrics were associated with multi-adjusted odds ratio of 0.52 (0.28-0.95) for dementia and 0.21 (0.06-0.77) for vascular dementia in young-old adults (65-74 years), whereas ideal behavioral cardiovascular health metrics were associated with multi-adjusted odds ratio of 0.48 (0.26-0.89) for dementia and 0.16 (0.06-0.43) for vascular dementia in old-old adults (≥75 years). Conclusion: Our results suggest that ideal cardiovascular health metrics are cross-sectionally associated with a low likelihood of dementia and vascular dementia among rural-dwelling older Chinese adults. The associations vary with age, components of cardiovascular health metrics, and dementia subtypes.

Indexed as

Alzheimer DiseaseCardiovascular DiseasesDementia, VascularAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality Indicators, Health CareRisk FactorsAlzheimer’s diseasecardiovascular healthdementiapopulation-based studyvascular dementia

Identifiers

PMID35711676
PMCPMC9196277
OpenAlexW4281821205

What OpenQuestion holds

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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.