Evidence map›Paper›PMID 26586459›Full record

Trial reportJournal of bone and mineral metabolism2016

Relationships between the lean mass index and bone mass and reference values of muscular status in healthy Chinese children and adolescents.

Bin Guo, Qiulian Wu, Jian Gong, Zeyu Xiao, Yongjin Tang, Jingjie Shang, Yong Cheng, Hao Xu

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Journal of bone and mineral metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

  1. Pooled it
  2. Article
  3. Mechanical Load-Capacity Models for Bone in Youth - Analysis of Risk Signatures.Journal of musculoskeletal & neuronal interactions · 2026
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  7. Observational
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  12. Review
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  17. Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables.International journal of environmental research and public health · 2019
    Article
  18. Article
  19. Observational
  20. 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

8 authors.

Bin GuoDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Qiulian WuDepartment of Nursing, Medical College, Jinan University, Guangzhou, 510630, China.
Jian GongDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Zeyu XiaoDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Yongjin TangDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Jingjie ShangDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Yong ChengDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China.
Hao XuDepartment of Nuclear Medicine, The First Affiliated Hospital, Jinan University, No. 613 West Huangpu Road, Guangzhou, 510630, China. txh@jnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the relationships between the lean mass index (LMI) and bone outcomes in Chinese children and adolescents using dual-energy X-ray absorptiometry (DXA) and to establish sex-specific reference percentile curves for the assessment of muscle status. A total of 1541 Chinese children and adolescents between the ages of 5 and 19 years were recruited from southern China. Body composition was measured by DXA (Lunar Prodigy) to acquire total body and total body less head (TBLH) measures. LMI was calculated as the LM (kg) divided by the height in meters squared. Strong sex gaps were observed after age 14 in total body LMI and appendicular LMI (p < 0.001). LM and LMI values continued to increase for boys up to age 14 compared to girls who plateaued after age 12. For each sex group, total body bone mineral content (BMC) and TBLH BMC were highly correlated with total body LMI and appendicular LMI (r = 0.856-0.916 in boys, and r = 0.651-0.804 in girls, p < 0.001). The appendicular LMI was more strongly associated with total body BMC and TBLH BMC than was total body LMI. The correlations between the BMC values and the LM measures were stronger than the fat mass results. We also present sex-specific percentile curves for LM-age and LMI-age relationships, which could be useful for identifying the LM deficits in this population.

Indexed as

Absorptiometry, PhotonBody Mass IndexAdolescentAdultAgingBody CompositionBone DensityChildChild, PreschoolFemaleHumansMaleMuscle, SkeletalAdolescentBody compositionChildrenDual-energy X-ray absorptiometryLean mass

Identifiers

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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.