Evidence map›Paper›PMID 30572143›Full record

ArticleBone2019

Relationship of cardiometabolic risk biomarkers with DXA and pQCT bone health outcomes in young girls.

Megan Hetherington-Rauth, Jennifer W Bea, Robert M Blew, Janet L Funk, Vinson R Lee, Denise J Roe, LuÍs B Sardinha, Scott B Going

Open access · greenAbstract read
In one paragraph

Article in Bone, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Bone Health in Patients with Dyslipidemias: An Underestimated Aspect.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Observational
  8. Bone Health in Childhood Chronic Disease.Endocrinology and metabolism clinics of North America · 2020
    Review
  9. [Fractures and bone mineral density in childhood].Zeitschrift fur Rheumatologie · 2019
    Review
  10. Muscle-to-Bone and Soft Tissue-to-Bone Ratio in Children and Adolescents with Obesity.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
    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 at 2 institutions in 2 countries.

Megan Hetherington-RauthExercise and Health Laboratory, CIPER, Faculty of Human Kinetics, University of Lisbon, Portugal. Electronic address: mchr@email.arizona.edu.
Jennifer W BeaDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA; Departments of Medicine, University of Arizona, Tucson, AZ 85721, USA; The University of Arizona Cancer Center, Tucson, AZ 85724, USA.. Electronic address: jbea@uacc.arizona.edu.
Robert M BlewDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA. Electronic address: rblew@email.arizona.edu.
Janet L FunkDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA; Departments of Medicine, University of Arizona, Tucson, AZ 85721, USA. Electronic address: jfunk@email.arizona.edu.
Vinson R LeeDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA. Electronic address: vinsonl@email.arizona.edu.
Denise J RoeThe University of Arizona Cancer Center, Tucson, AZ 85724, USA.; Department of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ 85721, USA. Electronic address: droe@email.arizona.edu.
LuÍs B SardinhaExercise and Health Laboratory, CIPER, Faculty of Human Kinetics, University of Lisbon, Portugal.
Scott B GoingDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85721, USA. Electronic address: going@email.arizona.edu.
University of Arizona · USUniversity of Lisbon · PT

Funding

Obesity and bone development in young girlsR01HD074565 · NICHD · UNIVERSITY OF ARIZONA · PI GOING, SCOTT B · 2013 to 2017
$2.6M
NICHD NIH HHS R01 HD074565
6 · The paper itself

Abstract

backgroundExcess weight exerts the positive effect of mechanical loading on bone during development whereas obesity-related metabolic dysfunction may have a detrimental impact. In adults, the presence of metabolic syndrome and type 2 diabetes has been associated with compromised bone density, quality, and strength, and an increased incidence of fractures. The few studies that have investigated the role of cardio-metabolic disease risk biomarkers (CMR) on bone strength in children have given conflicting results. The aim of this study was to assess the combined and independent relationships of cardio-metabolic biomarkers with total body and regional bone parameters in young girls.

methodsIn 306, 9-12 year old girls, measures of whole body fat and lean mass, areal bone mineral density (aBMD), bone mineral content (BMC), and bone area (BA) were obtained by dual-energy x-ray absorptiometry (DXA). Bone mineral density (vBMD), geometry, and strength of metaphyseal and diaphyseal regions of the femur and tibia and a diaphyseal region of the radius were measured using peripheral quantitative computed tomography (pQCT). Fasting serum measures of CMRs included, fasting glucose, insulin, homeostatic model assessment for insulin resistance (HOMA-IR), high-density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C), triglyceride (TG), systolic and diastolic blood pressure (SBP and DBP), and C-reactive protein (CRP). Multiple linear regression was used to assess the independent associations of a single CMR with total body and peripheral measures of bone strength after controlling for the other CMRs, plus total body soft tissue, and other relevant covariates. Also, a standardized total CMR composite score, calculated by standardizing to z-scores and then summing z-scores of each CMR biomarker, was regressed with total body and regional bone measures to assess the relationship of a cluster of risk factors with bone health.

resultsTotal CMR composite score had inverse associations (p < 0.001) with DXA total BMC and BA. Inverse associations (p < 0.05) of CMR risk score with pQCT regional bone measures occurred with total and trabecular BA at the 4% tibia. Of the individual CMRs, HOMA-IR and CRP were significant predictors of total body bone measures by DXA accounting for ~1-5% of the variance in BMC, BA, and/or aBMD. HOMA-IR was the main predictor of regional pQCT bone outcomes, accounting for the most variance in trabecular vBMD (2.6%) and BSI (3.8%) at the 4% tibia. Most markers of dyslipidemia (TG, HDL-C, LDL-C) and hypertension (SBP, DBP) were not associated (p > 0.05) with any total body or regional bone outcomes with the exception of the inverse relationship of LDL-C with total and trabecular BA and the positive relationship of DBP with cortical vBMD at the radius.

conclusionOf the obesity-related metabolic impairments, insulin resistance and chronic inflammation may compromise whole body bone development in young girls. In particular, trabecular bone, such as that found at the metaphysis of long bones, may be more susceptible to the detrimental effects associated with obesity-related metabolic dysfunction.

Indexed as

Absorptiometry, PhotonTomography, X-Ray ComputedAdolescentBiomarkersBone and BonesCardiovascular DiseasesChildFemaleHumansMetabolic SyndromeRisk FactorsBiomarkersBone strengthCardiometabolic risk (CMR)Dual-energy x-ray absorptiometry (DXA)GirlsPeripheral quantitative computed tomography (pQCT)

Identifiers

PMID30572143
PMCPMC9395974
OpenAlexW2906495593

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.