Evidence map›Paper›PMID 31818844›Full record

ArticleBMJ open2019

Relationship between visual acuity and muscle mass in the Korean older population: a cross-sectional study using Korean National Health and Nutrition Examination Survey.

Ji Hyun Moon, Yun Hwan Oh, Mi Hee Kong, Hyeon Ju Kim

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. The crossroads between osteosarcopenia and intrinsic capacity-a narrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  3. Article
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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 1 institution in 1 country.

Ji Hyun MoonDepartment of Family Medicine, Jeju National University Hospital, Jeju, Republic of Korea.ORCID 0000-0001-6788-7521
Yun Hwan OhDepartment of Family Medicine, Jeju National University Hospital, Jeju, Republic of Korea.
Mi Hee KongDepartment of Family Medicine, Jeju National University Hospital, Jeju, Republic of Korea.
Hyeon Ju KimDepartment of Family Medicine, Jeju National University Hospital, Jeju, Republic of Korea fmhjukim@hanmail.net.ORCID 0000-0002-9103-3275
Jeju National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to assess the effects of visual acuity on muscle mass, which is an important indicator of health in older populations.

designPooled-sample cross-sectional study.

settingNationally representative population survey data.

participantsThe present study analysed men aged 65 years or older who participated in the Korea National Health and Nutrition Examination Survey (KNHANES, 2008-2011). PRIMARY AND SECONDARY OUTCOME MEASURES: Muscle mass was measured by dual-energy X-ray absorptiometry scan, and low muscle mass was defined as appendicular skeletal mass divided by height squared (kg/m

resultsOf the 1733 participants, 89.9% had good visual acuity. After adjusting for age, the height-adjusted appendicular skeletal muscle mass values were 7.16 and 7.00 kg/m

conclusionsOlder men with decreased visual acuity have low muscle mass. Poor vision might be an indicator of low muscle mass.

Indexed as

Muscle, SkeletalVisual AcuityAgedAgingCross-Sectional StudiesHealth StatusHumansMaleNutrition SurveysRepublic of Koreafrailtymuscle massvisual acuity

Identifiers

PMID31818844
PMCPMC6924729
OpenAlexW2994180580

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.