Evidence map›Paper›PMID 26092851›Full record

ArticleJPEN. Journal of parenteral and enteral nutrition2017

Stratification of Fat-Free Mass Index Percentiles for Body Composition Based on National Health and Nutrition Examination Survey III Bioelectric Impedance Data.

Kenneth A Kudsk, Alejandro Munoz-Del-Rio, Rebecca A Busch, Cassandra E Kight, Dale A Schoeller

Abstract read
In one paragraph

Article in JPEN. Journal of parenteral and enteral nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 22 citations in OpenAlex.

  1. Physical Profile of Air Force Special Warfare Trainees.International journal of exercise science · 2023
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Liver steatosis in adult patients on home parenteral nutrition.European journal of clinical nutrition · 2020
    Article
  8. 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

5 authors at 3 institutions in 1 country.

Kenneth A Kudsk1 Veteran Administration Surgical Service, William S. Middleton Memorial Veterans Hospital, Madison, Wisconsin, USA.
Alejandro Munoz-Del-Rio2 Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Rebecca A Busch2 Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
Cassandra E Kight4 Clinical Nutrition Services, University of Wisconsin Hospital and Clinics, Madison, Wisconsin, USA.
Dale A Schoeller5 Department of Nutritional Sciences, University of Wisconsin, Madison, Wisconsin, USA.
University of Wisconsin–Madison · USUW Health University Hospital · USWilliam S. Middleton Memorial Veterans Hospital · US

Funding

UW Surgical Oncology Research Training Program (UW-SORT)T32CA090217 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Muhammed Murtaza, Heather B Neuman · 2001 to 2026
$8.3M
NCI NIH HHS T32 CA090217
6 · The paper itself

Abstract

backgroundLoss of protein mass and lower fat-free mass index (FFMI) are associated with longer length of stay, postsurgical complications, and other poor outcomes in hospitalized patients. Normative data for FFMI of U.S. populations do not exist. This work aims to create a stratified FFMI percentile table for the U.S. population using the large bioelectric impedance analysis data obtained from National Health and Nutrition Examination Surveys (NHANES).

methodsFat-free mass (FFM) was calculated from the NHANES III bioelectric impedance analysis and anthropometric data for males and females ages 12 to >90 years for 3 race/ethnicities (non-Hispanic white, non-Hispanic black, and Mexican American). FFM was normalized by subject height to create an FFMI distribution table for the U.S. POPULATION: Selected percentiles were obtained by age, sex, and race/ethnicity. Data were collapsed by race/ethnicity before and after removing obese and underweight participants to create an FFMI decile table for males and females 12 years and older for the healthy-weight U.S. POPULATION:

resultsFFMI increased during adolescent growth but stabilized in the early 20s. The FFMI deciles were similar by race/ethnicity, with age group remaining relatively stable between ages 25 and 80 years. The FFMI deciles for males and females were significantly different.

conclusionsAfter eliminating the obese and extremely thin, FFMI percentiles remain stable during adult years allowing creation of age- and race/ethnicity-independent decile tables for males and females. These tables allow stratification of individuals for nutrition intervention trials to depict changing nutrition status during medical, surgical, and nutrition interventions.

Indexed as

Body CompositionElectric ImpedanceNutrition SurveysAdolescentAdultAgedAged, 80 and overBody Mass IndexBody WeightChildEthnicityFemaleHumansMaleMiddle AgedNutritional Statusadultlife cyclenutritionnutrition assessmentnutrition support practiceoutcomes research/quality

Identifiers

PMID26092851
PMCPMC4684827
OpenAlexW635762081

What OpenQuestion holds

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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.