Evidence map›Paper›PMID 32572375›Full record

ArticleJournal of bone metabolism2020

Association of Dietary Variety Status and Sarcopenia in Korean Elderly.

Hee-Sook Lim

Abstract read
In one paragraph

Article in Journal of bone metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Natural Food for Sarcopenia: A Narrative Review.The Malaysian journal of medical sciences : MJMS · 2022
    Review
  11. Article
  12. Nuts and Older Adults' Health: A Narrative Review.International journal of environmental research and public health · 2021
    Review
  13. Article
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

1 author.

Hee-Sook LimDepartment of Food and Nutrition, Yeonsung University, Anyang, Korea.ORCID https://orcid.org/0000-0003-0745-8906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is associated with a variety of factors including age, diseases, exercise, and heredity. In particular, diet is known to affect changes in muscle mass loss.

methodsThe purpose of this study was to analyze the diversity of food intake according to the presence of sarcopenia in elderly people over 65 years old using the 2008 to 2011 Korea National Health and Nutrition Examination Survey. The differences in subjects' general characteristics, lifestyle, and intake of 15 food groups were compared, and the risk odds ratio (OR) for sarcopenia was calculated for each food intake by gender.

resultsThe proportion of sarcopenia was 27.7% for males and 24.3% for females. The sarcopenia group had significantly lower intakes of nuts and seeds, meats, and milks than the non-sarcopenia group in males. The females had significantly lower intake of fruits, milks, and beverages in non-sarcopenia group. The dietary diversity score was significantly lower in females with sarcopenia than non-sarcopenia group. Regression analysis of the risk OR for sarcopenia according to food group intake showed that the subjects in the lowest tertile (<31.1 g) had a 1.83 times (95% confidence interval [CI], 1.13-2.42) risk for sarcopenia in males. In case of milks intake of females, the risk for sarcopenia increased 1.39 times (95% CI, 1.11-1.86) in subjects with the lowest tertile (<30.1 g).

conclusionsDietary diversity status was the most vulnerable to female with sarcopenia. Sarcopenia was associated with meat intake in male and milk intake in female.

Indexed as

AgedDiet, healthyFood qualitySarcopenia

Identifiers

PMID32572375
PMCPMC7297625

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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.