Evidence map›Paper›PMID 32312724›Full record

ArticleBMJ open2020

Sex-specific and age-specific characteristics of body composition and its effect on bone mineral density in adults in southern China: a cross-sectional study.

Zeyu Xiao, Zhiqiang Tan, Jingjie Shang, Yong Cheng, Yongjin Tang, Bin Guo, Jian Gong, Hao Xu

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Bone mineral density assessment using radiofrequency echographic multispectrometry (REMS) in patients before and after total hip replacement.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2025
    Article
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  7. Article
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  9. Article
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  12. The Use of Practical Measures to Determine Body Composition of Older People.The Malaysian journal of medical sciences : MJMS · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. 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.

Zeyu XiaoRadiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0003-2220-5675
Zhiqiang TanMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jingjie ShangMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yong ChengMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yongjin TangMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Bin GuoMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jian GongMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Hao XuMolecular Imaging Institute, The First Affiliated Hospital of Jinan University, Guangzhou, China txh@jnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study was an attempt to investigate the variation trend of body composition with ageing and explore the association between regional body composition and bone mineral density (BMD).

designCross-sectional study. SETTING AND

participantsA total of 5749 healthy adults aged 20-95 years was recruited from 2004 to 2017. PRIMARY OUTCOME MEASURES: Whole-body lean mass (LM), fat mass (FM), android FM, gynoid FM, appendicular lean mass (ALM) and BMD in the lumbar spine, femoral neck and total hip were obtained by dual-energy X-ray absorptiometry (DXA). The android/gynoid fat mass ratio (A/G FMR) based on DXA scan was calculated as an indicator of adipose distribution. Pearson correlation and multiple linear regression analyses were used to determine the associations between body composition, adipose distribution, and BMD of each skeletal site.

resultsWhole-body FM, percentage of whole-body FM, Android FM and A/G FMR consistently increased with age in both genders, especially in women, and ALM began to decrease in the fifth decade for both men and women. In multivariable linear regression models with age, body mass index, A/G FMR and ALM as predictor variables, ALM was associated with the most BMD variance of all skeletal sites in men (standard β ranged from 0.207 to 0.405, p<0.001), although not the largest but still a positive predictor of BMD in women (standard β ranged from 0.074 to 0.186, p<0.05). A/G FMR was an inverse predictor of BMD at all skeletal sites for women (standard β ranged from -249 to -0.052, p<0.01) but not in men.

conclusionsIn this large cohort of Chinese adults, ALM had a strong positive association with BMD in both genders. A/G FMR as an indicator of central adipose accumulation was inversely associated with BMD in women but not in men.

Indexed as

Age FactorsBody Fat DistributionSex FactorsAbsorptiometry, PhotonAdultAgedAged, 80 and overBody CompositionBone DensityChinaCross-Sectional StudiesFemaleFemur NeckHumansLumbosacral RegionMaleagingappendicular lean massbody compositionbone mineral densityfat distribution

Identifiers

PMID32312724
PMCPMC7245416

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LicenceCC BY-NC
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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.