Evidence map›Paper›PMID 33742191›Full record

ArticleThe American journal of clinical nutrition2021

Calf circumference: cutoff values from the NHANES 1999-2006.

Maria Cristina Gonzalez, Ali Mehrnezhad, Nariman Razaviarab, Thiago G Barbosa-Silva, Steven B Heymsfield

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

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

  1. Pooled it
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  7. Article
  8. Concurrent Validity of Systematic Nutritional Clinical Assessment in Hospitalized Adults: Comparative Analysis of Patients With and Without Excess Body Weight.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
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  14. Global Leadership Initiative on Malnutrition as a predictor of mortality and prolonged hospitalization in emergency department patients: A prospective cohort study.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
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  18. Screening and Diagnosis of Malnutrition in Individuals With Obesity: A Scoping Review of Current Methods.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  20. Evaluation of blood flow restriction combined with routine rehabilitation in incomplete thoracic and lumbar spinal cord injury after decompression: a retrospective study.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article

58 more citing papers are in PubMed but not listed here.

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.

Maria Cristina GonzalezPost-Graduate Program in Health and Behavior, Catholic University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.ORCID 0000-0002-3901-8182
Ali MehrnezhadLouisiana State University, Baton Rouge, LA, USA.
Nariman RazaviarabLouisiana State University, Baton Rouge, LA, USA.
Thiago G Barbosa-SilvaFederal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Steven B HeymsfieldPennington Biomedical Research Center, LSU System, Baton Rouge, LA, USA.

Funding

Optical Body Composition and Health AssessmentR01DK109008 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2016 to 2020
$3.2M
NIDDK NIH HHS R01 DK109008
6 · The paper itself

Abstract

backgroundCalf circumference (CC) is used in geriatric studies as a simple and practical skeletal muscle (SM) marker for diagnosing low SM and sarcopenia. Currently applied CC cutoff points were developed in samples including older participants; values representative of the full adult lifespan are lacking.

objectivesWe aimed to develop CC cutoff points and to identify relevant confounding factors from the large and diverse NHANES 1999-2006 population sample.

methodsDemographic, anthropometric, and imaging data (DXA, appendicular lean mass) from the adult (age ≥18 y) NHANES sample were partitioned into subgroups according to sex, age, ethnicity, and race. Adults aged 18-39 y and BMI (in kg/m2) 18.5-24.9 were set as a reference population; CC cutoff points were derived at 1 and 2 SDs below the mean.

resultsThe sample included 17,789 participants, 51.3% males and 48.7% females, with respective ages (mean ± SD) of 43.3 ± 16.1 y and 45.5 ± 16.9 y. CC was strongly correlated with appendicular lean mass, r = 0.84 and 0.86 for males and females (both P < 0.001), respectively. Significant differences in mean CC were present across sex, ethnic, self-reported race, and BMI groups. Adjusting CC for adiposity using BMI revealed a decrease in CC beginning after the second decade in males and third decade in females. Rounded CC cutoff values for moderately and severely low CC were 34 cm and 32 cm (males), and 33 cm and 31 cm (females), respectively. Our findings support the use of BMI-adjusted CC values for participants outside the normal-weight BMI range (18-24.9).

conclusionsThis study defined CC values in a diverse population sample along with a BMI-adjustment approach that helps to remove the confounding effects of adiposity and thereby improves CC as a useful clinical estimate of SM mass.

Indexed as

Body CompositionNutritional StatusAdultAnthropometryBody Mass IndexFemaleHumansLegMaleMiddle AgedMuscle, SkeletalNutrition SurveysSarcopeniaanthropometrybody compositioncalf circumferencecutoffmalnutritionmuscle mass

Identifiers

PMID33742191
PMCPMC8433492

What OpenQuestion holds

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Read underepoch 390

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.