Evidence map›Paper›PMID 21196789›Full record

Trial reportObesity facts2010

Air displacement plethysmography for estimating body composition changes with weight loss in middle-aged Japanese men.

Hiroyuki Sasai, Yoshio Nakata, Miyuki Nemoto, Kazunori Ohkawara, Hiroyuki Ohkubo, Tomoaki Matsuo, Maeng-Kyu Kim, Yasutomi Katayama, Kiyoji Tanaka

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Obesity facts, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Contents of this issue.Obesity facts · 2010
    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

9 authors at 4 institutions in 2 countries.

Hiroyuki SasaiGraduate School of Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Tokyo, Japan. h-sasai@umin.ac.jp
Yoshio Nakata
Miyuki Nemoto
Kazunori Ohkawara
Hiroyuki Ohkubo
Tomoaki Matsuo
Maeng-Kyu Kim
Yasutomi Katayama
Kiyoji Tanaka
University of Tsukuba · JPJuntendo University · JPKogakkan University · JPNational Institute of Health · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo examine the degree to which air displacement plethysmography (ADP) can track body composition changes in response to weight loss in obese Japanese men.

method50 men, aged 30-65 years with a mean BMI of 30 kg/m(2), were included in a 3-month weight loss program. Percentage of fat mass (%FM) was determined by dual energy X-ray absorptiometry (DXA) and ADP at baseline and month 3.

resultsWith 6.2 ± 4.3 kg of weight loss, %FM, as determined by DXA and ADP, significantly decreased by 3.9 ± 2.9% and 3.9 ± 3.3% respectively. There was no mean difference for change (Δ) in %FM between the two methods. DXA-derived Δ%FM significantly correlated with Δ%FM determined by ADP (R(2) = 0.48, p < 0.01). Furthermore, the Bland-Altman plots demonstrated no systematic bias for Δ%FM (r = -0.20, p = 0.17). However, %FM by ADP (r = 0.42) at baseline and Δ%FM by ADP (r = -0.54) were significantly correlated to the differences between Δ%FM by DXA and ADP.

conclusionThese results suggest that ADP is comparably accurate for evaluating Δ%FM when compared with DXA, although there were proportional biases.

Indexed as

Asian PeopleBody CompositionPlethysmographyAbsorptiometry, PhotonAdiposityAdultAgedBody Mass IndexHumansJapanMaleMiddle AgedObesityPredictive Value of TestsTime FactorsTreatment Outcome

Identifiers

PMID21196789
PMCPMC6515858
OpenAlexW1991514716

What OpenQuestion holds

Textmetadata
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.