Evidence map›Paper›PMID 28369119›Full record

ArticlePloS one2017

Associations between body fat variability and later onset of cardiovascular disease risk factors.

Yuki Saito, Osamu Takahashi, Hiroko Arioka, Daiki Kobayashi

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  14. Prognostic value of adiposity indices for hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2019
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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

4 authors.

Yuki SaitoDivision of General Internal Medicine, Department of Medicine, St. Luke's International Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2686-9604
Osamu TakahashiDivision of General Internal Medicine, Department of Medicine, St. Luke's International Hospital, Tokyo, Japan.
Hiroko AriokaDivision of General Internal Medicine, Department of Medicine, St. Luke's International Hospital, Tokyo, Japan.
Daiki KobayashiDivision of General Internal Medicine, Department of Medicine, St. Luke's International Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThere is current debate regarding whether body weight variability is associated with cardiovascular events. Recently, high body fat percentage (BF%) has been shown to be a cardiovascular risk factor. We therefore hypothesized that BF% variability would present a stronger cardiovascular risk than body weight variability.

methodsA single-center retrospective cohort study of medical check-up examinees aged 20 years or older at baseline (2005) was performed. Examinees were followed in 2007, 2009, and 2013-2014. BF% variability in 2005, 2007 and 2009 was calculated as the root-mean square error (RMSE) using a simple linear regression model. Multiple logistic regression models estimated the association between BF%-RMSE and new diagnoses of cardiovascular risk factors occurring between the 2009 and 2013-2014 visits.

resultsIn total, 11,281 participants (mean age: 51.3 years old, 48.8% were male) were included in this study. The average BF%-RMSE of our subjects was 0.63, and the average BMI-RMSE was 0.24. The high BF%-RMSE group (76-100th percentile) had a higher incidence of hypertension and a lower incidence of diabetes mellitus than the low BF%-RMSE group (1-25th percentile). This tendency was particularly evident in male participants. BMI-RMSE was not associated with any cardiovascular risks in our study.

conclusionsThis study indicates that body fat variability has contrasting effects on cardiovascular risk factors, while body weight variability has no significant effects.

Indexed as

Adipose TissueAdiposityBlood PressureBody WeightCardiovascular DiseasesDiabetes MellitusDyslipidemiasFemaleHumansHypertensionMaleMiddle AgedObesityRetrospective StudiesRisk Factors

Identifiers

PMID28369119
PMCPMC5378370

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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.