Evidence map›Paper›PMID 30788056›Full record

ArticleNutrition research and practice2019

Sarcopenic obesity can be negatively associated with active physical activity and adequate intake of some nutrients in Korean elderly: Findings from the Korea National Health and Nutrition Examination Survey (2008-2011).

Jina Son, Qiming Yu, Jung-Sook Seo

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrition research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 48 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

3 authors at 1 institution in 1 country.

Jina SonDepartment of Food and Nutrition, Yeungnam University, 280, Daehak-ro, Gyeongsan 38541, Korea.ORCID https://orcid.org/0000-0003-0434-9763
Qiming YuDepartment of Food and Nutrition, Yeungnam University, 280, Daehak-ro, Gyeongsan 38541, Korea.ORCID https://orcid.org/0000-0001-8992-2578
Jung-Sook SeoDepartment of Food and Nutrition, Yeungnam University, 280, Daehak-ro, Gyeongsan 38541, Korea.ORCID https://orcid.org/0000-0001-8963-1375
Yeungnam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesThe aim of this study was to analyze the factors related to sarcopenic obesity among the elderly in South Korea. SUBJECTS/

methodsA total of 3,367 elderly (≥ 65 years) from the Korea National Health and Nutrition Examination Survey (2008-2011) were included in this analysis. The subjects were assessed to determine their sarcopenia and obesity status. Sarcopenia was assessed by determining their appendicular skeletal muscle mass (ASM). Obesity was defined by the waist circumference. An association of sarcopenic obesity and the related factors was analyzed using multiple logistic regression models.

resultsThe risk of sarcopenic obesity of the subjects was decreased by active physical activity. After adjusting for age, smoking, and alcohol consumption, the risk of sarcopenic obesity in men of the highest level group (Q4) decreased by 45% (OR = 0.550, 95% CI = 0.334-0.905,

conclusionActive physical activity as well as an adequate intake of energy and some vitamins might be negatively associated with the development of sarcopenia and sarcopenic obesity in the elderly.

Indexed as

elderlynutrientphysical activitySarcopeniasarcopenic obesity

Identifiers

PMID30788056
PMCPMC6369108
OpenAlexW2911849389

What OpenQuestion holds

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LicenceCC BY-NC
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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.