Evidence map›Paper›PMID 32799215›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2020

The Evaluation of Bone Mineral Density based on Age and Anthropometric Parameters in Southeast Chinese Adults: A Cross-Sectional Study.

Rongrong Xuan, Yang Song, Julien S Baker, Yaodong Gu

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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  5. Proximal external femoral torsion increases lateral femoral shaft bowing: a study based on 3D CT reconstruction models.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
    Article
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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

4 authors.

Rongrong XuanThe Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang, China (mainland).
Yang SongFaculty of Sports Science, Ningbo University, Ningbo, Zhejiang, China (mainland).
Julien S BakerDepartment of Sport, and Physical Education, Hong Kong Baptist University, Hong Kong, Hong Kong.
Yaodong GuFaculty of Sports Science, Ningbo University, Ningbo, Zhejiang, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Osteoporosis is a chronic skeletal disease characterized by a reduction in bone density, resulting in high death rates and high costs among patients worldwide. This study investigated the associations among age, anthropometric parameters and bone mineral density (BMD) in southeast Chinese adults and evaluated the characteristics of southeast Chinese adults at high risk of osteoporosis. MATERIAL AND METHODS This study enrolled 424 female and 265 male volunteers. Height, weight and BMD were measured, and body mass index (BMI) was calculated. Based on their BMD T-scores, female and male participants were divided into groups with osteoporosis (OG1) and osteopenia (OG2) and a normal group (NG). RESULTS The findings revealed no significant correlations between BMD and anthropometric parameters in either gender. However, a significant negative correlation was noted between BMD and age in the female participants, and a significant positive correlation was observed between BMD and age in the male participants. Multiple comparisons between groups revealed that women in the OG1 and OG2 groups were significantly older than those in the NG group. CONCLUSIONS Age, anthropometric parameters and BMD correlate differently between groups and genders in southeast Chinese adults.

Indexed as

Age FactorsAnthropometryBone DensityAbsorptiometry, PhotonAdultChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedOsteoporosis

Identifiers

PMID32799215
PMCPMC7448692

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LicenceCC BY-NC-ND
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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.