Evidence map›Paper›PMID 35710118›Full record

ArticleThe British journal of nutrition2023

Assessment of existing anthropometric indices for screening sarcopenic obesity in older adults.

Jin Eui Kim, Jimi Choi, Miji Kim, Chang Won Won

Open access · hybridAbstract read
In one paragraph

Article in The British journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 1% of its field
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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Jin Eui Kim *Department of Biomedical Science and Technology, Graduate School, Kyung Hee University, Seoul02447, Republic of Korea.ORCID 0000-0002-6467-9783
Jimi Choi *Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, Korea University, Seoul02841, Republic of Korea.
Miji KimDepartment of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul02447, Republic of Korea.
Chang Won WonDepartment of Family Medicine, College of Medicine, Kyung Hee University, Seoul02447, Republic of Korea.
Kyung Hee University · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenic obesity is defined as the presence of high fat mass and low muscle mass combined with low physical function, and it is closely related with the onset of cardiovasular diseases (CVD). The existing anthropometric indices, which are being utilised in clinical practice as predictors of CVD, may also be used to screen sarcopenic obesity, but their feasibility remained unknown. Using cross-sectional data of 2031 participants aged 70-84 years (mean age, 75·9 ± 3·9 years; 49·2 % women) from the Korean Frailty and Aging Cohort Study, we analysed the association of anthropometric indices, including body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and weight-adjusted waist index (WWI) with sarcopenic obesity. Body composition was measured using dual-energy X-ray absorptiometry. Higher WWI, WHtR and WC quartiles were associated with higher risk of sarcopenic obesity; the odds ratio (OR) of sarcopenic obesity were highest in the fourth quartile of the WWI (OR: 10·99, 95 % CI: 4·92-24·85,

Indexed as

Cardiovascular DiseasesSarcopeniaAgedBody Mass IndexCohort StudiesCross-Sectional StudiesFemaleHumansMaleObesityRisk FactorsWaist CircumferenceWaist-Height RatioAgeingAnthropometryBody compositionObesitySarcopenia

Identifiers

PMID35710118
PMCPMC9975784
OpenAlexW4283020953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.