Evidence map›Paper›PMID 38762621›Full record

ArticleInternational journal of obesity (2005)2024

Metabolically healthy obesity and risks of cardiovascular disease and all-cause mortality, a matched cohort study: the Shizuoka study.

Yasuharu Tabara, Aya Shoji-Asahina, Aya Ogawa, Yoko Sato

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Article in International journal of obesity (2005), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

4 authors.

Yasuharu TabaraGraduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan. tabara@s-sph.ac.jp.ORCID 0000-0003-4505-7951
Aya Shoji-AsahinaGraduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan.ORCID 0000-0002-0917-2023
Aya OgawaGraduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan.
Yoko SatoGraduate School of Public Health, Shizuoka Graduate University of Public Health, Aoi-ku, Shizuoka, 420-0881, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolically healthy obesity is not always a benign condition. It is associated with an increased incidence of cardiovascular disease and all-cause mortality. We investigated the prognostic significance of metabolically healthy obesity by comparing clinical profile-matched metabolically healthy obesity and non-obesity groups.

methodsWe analyzed a health insurance dataset with annual health checkup data from Japan. The analyzed data included 168,699 individuals aged <65 years. Obesity was defined as ≥25 kg/m

resultsThe stroke (obesity: 9.2 per 10,000 person-years; non-obesity: 10.5; log-rank test p = 0.595), myocardial infarction (obesity: 3.7; non-obesity: 3.1; p = 0.613), and all-cause mortality (obesity: 26.6; non-obesity: 23.2; p = 0.304) incidence rates did not differ significantly between the metabolically healthy obesity and non-obesity groups, even when the abdominal obesity was considered in the analysis. The lack of association was also observed in the comparison between the metabolically unhealthy obesity and non-obesity groups (n = 10,965 each). The population with metabolically healthy obesity reported negligibly worse metabolic profiles than the population with non-obesity at the 5.6-year follow-up.

conclusionObesity, when accompanied by a healthy metabolic profile, did not increase the risk of cardiovascular outcomes and all-cause mortality.

Indexed as

Cardiovascular DiseasesObesity, Metabolically BenignAdultBody Mass IndexCohort StudiesFemaleHumansIncidenceJapanMaleMiddle AgedObesityRisk Factors

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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.