Evidence map›Paper›PMID 28145023›Full record

Observational studyPediatric diabetes2017

Low muscle mass is associated with cardiometabolic risk regardless of nutritional status in adolescents: A cross-sectional study in a Chilean birth cohort.

R Burrows, P Correa-Burrows, M Reyes, E Blanco, C Albala, S Gahagan

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Pediatric diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
5.2field-weighted citation impact, top 5% 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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Maximizing Muscle Hypertrophy: A Systematic Review of Advanced Resistance Training Techniques and Methods.International journal of environmental research and public health · 2019
    Pooled it
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  9. Observational
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  13. [The association between preterm birth and hypertension].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2024
    Review
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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

6 authors at 2 institutions in 2 countries.

R BurrowsInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.ORCID http://orcid.org/0000-0001-9155-0689
P Correa-BurrowsInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
M ReyesInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
E BlancoDivision of Child Development and Community Health, University of California San Diego, La Jolla, California.
C AlbalaInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
S GahaganDivision of Child Development and Community Health, University of California San Diego, La Jolla, California.
University of Chile · CLUniversity of California San Diego · US

Funding

Biopsychosocial Determinants of Adolescent Obesity/Cardiovascular RiskR01HL088530 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GAHAGAN, SHEILA · 2008 to 2017
$5.0M
NHLBI NIH HHS R01 HL088530
6 · The paper itself

Abstract

backgroundIncreased cardiometabolic risk (CMR) is documented in obese and non-obese adolescents with low muscular fitness. However, the association of low muscle mass (LMM) with CMR, independent of weight status, has not been examined. We analyzed the relationship of LMM with CMR in adolescents, regardless of their weight status. MATERIALS AND

methodsObservational study in 660 adolescents. BMI, waist circumference (WC), arterial blood pressures (ABP) were measured. Total fat mass (TFM), total lean tissue (TLT), and appendicular skeletal muscle mass (ASM) were estimated (DXA). Fasting lipid profile, glucose, and insulin were measured. HOMA-IR was estimated. Metabolic Syndrome (MetS) was diagnosed (AHA/NHLBI/IDF). ROC analysis was performed to find the optimal cutoffs of TLT percentage for MetS diagnosis. Values below these cutoffs defined LMM. ANCOVA examined the association of LMM with selected cardiometabolic biomarkers.

resultsIn both sexes, TLT showed better sensitivity and specificity than ASM for MetS diagnosis. In males and females, TLT of 66.1% and 56.3%, respectively, were the optimal cutoff for MetS diagnosis. In the sample, 17.3% of males and 23.7% of females had LMM. In both sexes, adolescents with LMM had significantly higher values of WC, ABP, TG, TC/HDL, HOMA-IR, and MetS z-score than non-LMM participants. Adolescents with LMM, regardless nutritional status, had significantly increased values of MetS z-score, ABP, TG, TC/HDL-chol, and HOMA-IR than non-obese non-LMM adolescents. Adolescents having both obesity and LMM had the unhealthiest CMR profile.

conclusionIn adolescents, LMM was associated with higher CMR, regardless of nutritional status. In obese adolescents, LMM increased obesity-associated CMR.

Indexed as

Body CompositionMuscle, SkeletalNutritional StatusAdolescentChileCohort StudiesCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeObesityRisk Assessmentadolescentscardiometabolic risklow lean massmetabolic syndromeobesity

Identifiers

PMID28145023
PMCPMC5538898
OpenAlexW2585060736

What OpenQuestion holds

Textmetadata
LicenceTDM
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.