Evidence map›Paper›PMID 37012303›Full record

ArticleScientific reports2023

Longitudinal trajectory of vascular age indices and cardiovascular risk factors: a repeated-measures analysis.

Daiki Watanabe, Yuko Gando, Haruka Murakami, Hiroshi Kawano, Kenta Yamamoto, Akie Morishita, Nobuyuki Miyatake, Motohiko Miyachi

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Vascular Aging: Assessment and Intervention.Clinical interventions in aging · 2023
    Review
  10. Review
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

8 authors.

Daiki WatanabeFaculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-City, Saitama, 359-1192, Japan.
Yuko GandoDepartment of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-Ku, Tokyo, 162-8636, Japan.
Haruka MurakamiDepartment of Physical Activity Research, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, 1-23-1 Toyama, Shinjuku-Ku, Tokyo, 162-8636, Japan.
Hiroshi KawanoFaculty of Letters, Kokushikan University, 4-28-1 Setagaya, Setagaya-Ku, Tokyo, 154-8515, Japan.
Kenta YamamotoFaculty of Pharmaceutical Sciences, Teikyo Heisei University, 4-21-2 Nakano, Nakano-Ku, Tokyo, 164-8530, Japan.
Akie MorishitaOkayama Southern Institute of Health, Okayama Health Foundation, 408-1 Hirata, Okayama-City, Okayama, 700-0952, Japan.
Nobuyuki MiyatakeFaculty of Medicine, Kagawa University, 1750-1 Ikenobe, Miki-Cho, Kita-Gun, Kagawa, 761-0793, Japan.
Motohiko MiyachiFaculty of Sport Sciences, Waseda University, 2-579-15 Mikajima, Tokorozawa-City, Saitama, 359-1192, Japan. cardiovascular0327@mac.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify the modifiable cardiovascular risk factors associated with longitudinal changes, which are nine functional and structural biological vascular aging indicators (BVAIs), to propose an effective method to prevent biological vascular aging. We conducted a longitudinal study of 697 adults (a maximum of 3636 BVAI measurements) who were, at baseline, aged between 26 and 85 years and whose BVAIs were measured at least twice between 2007 and 2018. The nine BVAIs were measured using vascular testing and an ultrasound device. Covariates were assessed using validated questionnaires and devices. During the mean follow-up period of 6.7 years, the average number of BVAI measurements ranged from 4.3 to 5.3. The longitudinal analysis showed a moderate positive correlation between the common carotid intima-media thickness (IMT) and chronological age in both men (r = 0.53) and women (r = 0.54). In the multivariate analysis, BVAIs were associated with factors such as age, sex, residential area, smoking status, blood clinical chemistry test levels, number of comorbidities, physical fitness, body mass, physical activity, and dietary intake. The IMT is the most useful BVAI. Our findings suggest that modifiable cardiovascular risk factors are associated with longitudinal changes in BVAI as represented by IMT.

Indexed as

Carotid ArteriesCarotid Intima-Media ThicknessAdultAgedAged, 80 and overAge FactorsFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSmoking

Identifiers

PMID37012303
PMCPMC10070355

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.