Evidence map›Paper›PMID 38325860›Full record

ArticleJournal of atherosclerosis and thrombosis2024

Relationships of Fat Mass Index and Fat-Free Mass Index with Low-Density Lipoprotein Cholesterol Levels in the Tohoku Medical Megabank Community-Based Cohort Study.

Masato Takase, Tomohiro Nakamura, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Ikumi Kanno, Kotaro Nochioka, Naho Tsuchiya and 16 more

Abstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Masato TakaseGraduate School of Medicine, Tohoku University.
Tomohiro NakamuraTohoku Medical Megabank Organization, Tohoku University.
Naoki NakayaGraduate School of Medicine, Tohoku University.
Mana KogureGraduate School of Medicine, Tohoku University.
Rieko HatanakaGraduate School of Medicine, Tohoku University.
Kumi NakayaGraduate School of Medicine, Tohoku University.
Ippei ChibaGraduate School of Medicine, Tohoku University.
Ikumi KannoGraduate School of Medicine, Tohoku University.
Kotaro NochiokaGraduate School of Medicine, Tohoku University.
Naho TsuchiyaGraduate School of Medicine, Tohoku University.
Takumi HirataTohoku Medical Megabank Organization, Tohoku University.
Taku ObaraGraduate School of Medicine, Tohoku University.
Mami IshikuroGraduate School of Medicine, Tohoku University.
Akira UrunoTohoku Medical Megabank Organization, Tohoku University.
Tomoko KobayashiGraduate School of Medicine, Tohoku University.
Eiichi N KodamaTohoku Medical Megabank Organization, Tohoku University.
Yohei HamanakaTohoku Medical Megabank Organization, Tohoku University.
Masatsugu OruiGraduate School of Medicine, Tohoku University.
Soichi OgishimaGraduate School of Medicine, Tohoku University.
Satoshi NagaieGraduate School of Medicine, Tohoku University.
Nobuo FuseGraduate School of Medicine, Tohoku University.
Junichi SugawaraGraduate School of Medicine, Tohoku University.
Yoko IzumiGraduate School of Medicine, Tohoku University.
Shinichi KuriyamaGraduate School of Medicine, Tohoku University.
Atsushi HozawaGraduate School of Medicine, Tohoku University.
ToMMo investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsAlthough fat mass (FM) and fat-free mass (FFM) have an impact on lipid metabolism, the relationship between different body composition phenotypes and lipid profiles is still unclear. By dividing the FM and FFM by the square of the height, respectively, the fat mass index (FMI) and fat-free mass index (FFMI) can be used to determine the variations in body composition. This study aimed to investigate the relationship of combined FMI and FFMI with low-density lipoprotein cholesterol (LDL-C) levels.

methodsThis cross-sectional study comprised 5,116 men and 13,630 women without cardiovascular disease and without treatment for hypertension, and diabetes. Following sex-specific quartile classification, FMI and FFMI were combined into 16 groups. Elevated LDL-C levels were defined as LDL-C ≥ 140 mg/dL and/or dyslipidemia treatment. Multivariable logistic regression models were used to examine the relationships between combined FMI and FFMI and elevated LDL-C levels.

resultsOverall, elevated LDL-C levels were found in 1,538 (30.1%) men and 5,434 (39.9%) women. In all FFMI subgroups, a higher FMI was associated with elevated LDL-C levels. Conversely, FFMI was inversely associated with elevated LDL-C levels in most FMI subgroups. Furthermore, the groups with the highest FMI and lowest FFMI had higher odds ratios for elevated LDL-C levels than those with the lowest FMI and highest FFMI.

conclusionsRegardless of FFMI, FMI was positively associated with elevated LDL-C levels. Conversely, in the majority of FMI subgroups, FFMI was inversely associated with elevated LDL-C levels.

Indexed as

Cholesterol, LDLAdipose TissueAdultAgedBody CompositionBody Mass IndexCohort StudiesCross-Sectional StudiesDyslipidemiasFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisRisk FactorsCholesterol, LDLAdipose tissueBody compositionEpidemiologyLow-density lipoprotein cholesterolMuscle mass

Identifiers

PMID38325860
PMCPMC11150719

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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.