Evidence map›Paper›PMID 32759238›Full record

ArticleBMJ open2020

Prevalence and temporal trends of presarcopenia metrics and related body composition measurements from the 1999 to 2006 NHANES.

Ji-Bin Li, Yuwan Wu, Dantong Gu, Huajun Li, Xi Zhang

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Epidemiology of sarcopenia: A narrative review.Osteoporosis and sarcopenia · 2025
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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

5 authors.

Ji-Bin LiDepartment of Clinical Research, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0001-7632-3648
Yuwan WuDepartment of Pediatrics, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dantong GuDepartment of Bio-statistics, Fudan University School of Public Health, Shanghai, China.
Huajun LiDepartment of Pediatrics, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China zhangxi@xinhuamed.com.cn lihuajun@xinhuamed.com.cn.
Xi ZhangClinical Research Unit, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China zhangxi@xinhuamed.com.cn lihuajun@xinhuamed.com.cn.ORCID 0000-0002-4524-2084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the prevalence and temporal trends of presarcopenia and related body composition measurements.

designCross-sectional study.

settingNational Health and Nutrition Examination Survey (NHANES) 1999-2006.

methodsPresarcopenia was defined according to the guidelines from the European Working Group on Sarcopenia. Logistic or linear regression models were used to evaluate the linear trend of the prevalence of presarcopenia, obesity and related body composition measurements.

participantsA total of 29 947 participants aged 18-90 years from five waves of the NHANES were included in the analysis. OUTCOME MEASURES: Presarcopenia was sex-specifically defined as having a skeletal mass index ≤7.26 kg/m

resultsThe overall prevalence of presarcopenia ranged from 16.4% in 1999-2000 to 14.8% in 2005-2006 (p for trend=0.78). Presarcopenia was stable in both males (p for trend=0.36) and females (p for trend=0.20). The presarcopenia prevalence was significantly elevated among the age group of 18-39 years old (from 11.3% to 14.1%, p for trend=0.04) and among non-Hispanic blacks (p for trend <0.001). Adults aged ≥80 years old had the highest prevalence.

conclusionsThe prevalence of presarcopenia increased among young individuals over time. Non-Hispanic blacks also demonstrated an increasing trend in the prevalence over time.

Indexed as

SarcopeniaAbsorptiometry, PhotonAdolescentAdultAgedAged, 80 and overBody CompositionBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalenceYoung Adultbody compositionepidemiologypublic health

Identifiers

PMID32759238
PMCPMC7410000

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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.