Evidence map›Paper›PMID 31987110›Full record

ArticleClinical nutrition ESPEN2020

Comparison of bioimpedance body composition in young adults in the Russian Children's Study.

Sergey Rudnev, Jane S Burns, Paige L Williams, Mary M Lee, Susan A Korrick, Tatiana Denisova, Yuri Dikov, Gennady Kozupitsa, Russ Hauser, Oleg Sergeyev

Open access · greenAbstract read
In one paragraph

Article in Clinical nutrition ESPEN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 35% 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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. The Russian Bioimpedance Database: An Update.Journal of electrical bioimpedance · 2022
    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

10 authors at 6 institutions in 2 countries.

Sergey RudnevMarchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Gubkin Str. 8, 119333, Moscow, Russia; Department of Health Statistics Analysis, Federal Research Institute for Health Organization and Informatics, Dobrolyubov Str. 11, 127254, Moscow, Russia. Electronic address: sergey.rudnev@gmail.com.
Jane S BurnsDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
Paige L WilliamsDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
Mary M LeeDepartment of Pediatrics, Sidney Kimmel Medical College and Nemours A.I. duPont Children's Hospital, 1600 Rockland Road, Wilmington, DE, 19803, USA.
Susan A KorrickDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA; Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, 181 Longwood Avenue, Boston, MA, 02115, USA.
Tatiana DenisovaChapaevsk Medical Association, Meditsinskaya Str. 3a, 446100, Chapaevsk, Samara Region, Russia; Group of Epigenetic Epidemiology, A.N. Belozersky Research Institute of Physico-Chemical Biology, Moscow State University, Leninskie Gory 1/40, 119234, Moscow, Russia.
Yuri DikovChapaevsk Medical Association, Meditsinskaya Str. 3a, 446100, Chapaevsk, Samara Region, Russia; Group of Epigenetic Epidemiology, A.N. Belozersky Research Institute of Physico-Chemical Biology, Moscow State University, Leninskie Gory 1/40, 119234, Moscow, Russia.
Gennady KozupitsaMedical University 'Reaviz', Chapaevskaya Str. 227, 443001, Samara, Russia.
Russ HauserDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Boston, MA, 02115, USA.
Oleg SergeyevChapaevsk Medical Association, Meditsinskaya Str. 3a, 446100, Chapaevsk, Samara Region, Russia; Group of Epigenetic Epidemiology, A.N. Belozersky Research Institute of Physico-Chemical Biology, Moscow State University, Leninskie Gory 1/40, 119234, Moscow, Russia. Electronic address: olegsergeyev1@yandex.ru.
Harvard University · USSamara State Medical University · RUCommunity Health Systems - Dupont Hospital · USFederal Research Institute for Health Organization and Informatics · RULomonosov Moscow State University · RUSamara Medical Institute Reaviz · RU

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Effects of Environmental Phthalates and Chemical Mixtures on Male Puberty and Semen QualityR01ES014370 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI HAUSER, RUSS B · 2006 to 2021
$8.2M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES014370
6 · The paper itself

Abstract

BACKGROUND &

aimsBody mass index is a simple anthropometric measure (kg/m

methodsPaired BIA measurements were obtained using the Tanita BC-418MA (Tanita Corp., Tokyo, Japan) and ABC-01 'Medas' (Medas Ltd, Moscow, Russia) BIA instruments. Cross-sectional data on 236 RCS subjects aged 18-22 years were used for the BIA comparison and the development of a conversion formula between measured resistances; follow-up data (n = 96) were used for validation of the conversion formula.

resultsWhole-body resistances were highly correlated (Spearman rho = 0.95), but fat mass (FM) estimates were significantly higher with the Medas than the Tanita device (median difference 3.3 kg, 95% CI: 2.9, 3.6 kg) with large limits of agreement (LoA) for the FM difference (-2.0, 8.6 kg). A conversion formula between the resistances (Res) was obtained: Medas Res = 0.882 × Tanita Res+26.2 (r

conclusionsOur results support the importance of cross-calibration of BIA instruments for population comparisons and proper data interpretation in clinical and epidemiological studies.

Indexed as

Body CompositionElectric ImpedanceAbsorptiometry, PhotonAdipose TissueAdolescentAnthropometryBody Mass IndexChildCross-Sectional StudiesHumansMaleRussiaYoung AdultBioelectrical impedance analysisBody composition assessmentConsistency of dataCross-calibrationFat massInstrumentationSkinfoldsYoung adult males

Identifiers

PMID31987110
PMCPMC6989627
OpenAlexW2989004113

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.