Evidence map›Paper›PMID 32290069›Full record

ArticleNutrients2020

Estimation of Dietary Amino Acid Intake and Independent Correlates of Skeletal Muscle Mass Index among Korean Adults.

Minjeong Chae, Hyoungsu Park, Kyong Park

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 21 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.

Minjeong ChaeDepartment of Food and Nutrition, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea.
Hyoungsu ParkHealth & Nutrition R&D Group, Maeil Dairies Co., Ltd, Pyeongtaek, Gyeonggi 17714, Korea.
Kyong ParkDepartment of Food and Nutrition, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea.ORCID 0000-0002-4681-1584
Yeungnam University · KR

Funding

National Research Foundation of Korea 2017R1A1A3A04069759National Research Foundation of Korea 2018M3A9F3081356National Research Foundation of Korea 2019M3A9F3100295
6 · The paper itself

Abstract

The aim of this study was to develop a database to identify dietary amino acid intake levels, and to determine whether any amino acid groups were independently correlated with skeletal muscle mass index (SMI). We used data from the Korea National Health and Nutrition Examination Survey 2008-2011, and a total of 3292 participants aged 50-64 years were included in the analysis. Dietary data were obtained using the 24 h recall method. Data regarding dietary amino acid intake was assessed using the computer-aided nutritional analysis program 4.0 published by the Korean Nutrition Society. Multivariate linear regression analysis was used to identify independent correlates of SMI. The major food group that contributed the highest essential amino acid intake was grain and grain products (histidine 25.5%, isoleucine 43.9%, leucine 44.2%, methionine 31.0%, phenylalanine 44.8%, tryptophan 26.4%, and valine 50.8%). Higher SMI was independently associated with sex (men), lower age and body mass index, higher levels of physical activity, and a higher intake of energy and branched-chain amino acids. These results are expected to be used as a basis for developing dietary amino acid intake guidelines for Koreans.

Indexed as

Body Mass IndexNutrition SurveysAge FactorsAmino Acids, Branched-ChainAsian PeopleEatingEnergy IntakeExerciseFemaleHumansLinear ModelsMaleMiddle AgedMuscle, SkeletalNutritional Physiological PhenomenaRecommended Dietary AllowancesAmino Acids, Branched-Chainamino aciddietary intakeskeletal muscle mass

Identifiers

PMID32290069
PMCPMC7231279
OpenAlexW3015251666

What OpenQuestion holds

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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.