Evidence map›Paper›PMID 39695684›Full record

ArticleBMC medicine2024

Physiological measures variability and risks of heart disease and stroke: evidence from three cohort studies.

Wei Liu, Lieyang Fan, Da Shi, Linling Yu, Jiahao Song, Ruyi Liang, Xuefeng Lai, Hao Wang, Yongfang Zhang, Shuhui Wan and 2 more

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Wei LiuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Lieyang FanDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Da ShiAgricultural, Food and Nutritional Science, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, AB, T6G 2P5, Canada.
Linling YuDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Jiahao SongDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Ruyi LiangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Xuefeng LaiDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Hao WangDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Yongfang ZhangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Shuhui WanDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Yueru YangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
Bin WangDepartment of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China. gentwong@163.com.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
China Health and Retirement Longitudinal StudyR01AG037031 · NIA · PEKING UNIVERSITY · PI STRAUSS, JOHN A, WANG, YAFENG · 2010 to 2024
$15.1M
Influences of Early and Later Life Events on Cognition and All-Cause Dementia in ChinaR01AG067625 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI STRAUSS, JOHN A · 2019 to 2024
$2.7M
China Postdoctoral Science Foundation 2022T150230National Natural Science Foundation of China 82203996NIA NIH HHS R01 AG037031NIA NIH HHS R01 AG067625NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundThe overall effect of long-term variability in physiological measures on cardiovascular health of older adults and the underlying mechanic pathway remain uncertain.

methodsWe constructed a composite score (0 ~ 3) of variability in physiological measures, including blood pressure, pulse rate, and body mass index, in older adults from the China Health and Retirement Longitudinal Study (CHARLS) 2011 ~ 2015, the Health and Retirement Study (HRS) 2006/2008 ~ 2014/2016, and the UK Biobank 2006 ~ 2019. The associations of the composite score with incident risks of heart disease and stroke were assessed. The mediation roles of several biomarkers were explored.

resultsA higher composite score was related to increased incident risk of heart disease in older adults from the US and the UK and increased incident risk of stroke in all three cohorts. Upon pooling the results, each 1-point increment in the composite score was associated with a 19% (hazard ratio: 1.19; 95% confidence interval: 1.14, 1.30) and a 23% (1.23; 1.12, 1.35) increments in incident risks of heart disease and stroke, respectively. The composite score also exhibited an inverse relationship with grip strength while displaying positive associations with C-reactive protein, glycosylated hemoglobin Alc (HbAlc), and cystatin C. Reduced grip strength, elevated HbAlc, and elevated cystatin C significantly mediated the composite score-associated elevated risks of heart disease and stroke.

conclusionsLong-term variability in physiological measures was associated with increased incident risks of heart disease and stroke, and the associations were partially mediated through deteriorated biomarkers of muscle strength, hyperglycemia, and kidney function.

Indexed as

Heart DiseasesStrokeAgedBiomarkersBlood PressureBody Mass IndexChinaCohort StudiesFemaleHeart RateHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsBiomarkersBlood pressure variabilityBody weight variabilityHeart diseasePulse rate variabilityStroke

Identifiers

PMID39695684
PMCPMC11657114

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.