Evidence map›Paper›PMID 25470722›Full record

ArticleDiabetes/metabolism research and reviews2015

Different health behaviours and clinical factors associated with bone mineral density and bone turnover in premenopausal women with and without type 1 diabetes.

Amber S Kujath, Lauretta Quinn, Mary E Elliott, Tamara J LeCaire, Neil Binkley, Andrea R Molino, Kirstie K Danielson

Abstract read
In one paragraph

Article in Diabetes/metabolism research and reviews, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. The effects of weight loss approaches on bone mineral density in adults: a systematic review and meta-analysis of randomized controlled trials.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
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

7 authors at 4 institutions in 1 country.

Amber S KujathCollege of Nursing, Rush University, Chicago, IL, USA.
Lauretta Quinn
Mary E Elliott
Tamara J LeCaire
Neil Binkley
Andrea R Molino
Kirstie K Danielson
University of Wisconsin–Madison · USUniversity of Illinois Chicago · USRush University · USUniversity of Illinois Urbana-Champaign · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029879 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAZZONE, THEODORE · 2009 to 2011
$11.0M
UIC Program for Interdisciplinary Careers in Women's Health ResearchK12HD055892 · NICHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GELLER, STACIE E. · 2007 to 2016
$4.9M
WISCONSIN INCIDENCE COHORT REGISTRY OF TYPE 1 DIABETESR01DK036904 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI PALTA, MARI · 1987 to 2010
$3.7M
NCRR NIH HHS UL1 RR029879NCRR NIH HHS UL1RR029879NICHD NIH HHS K12 HD055892NICHD NIH HHS K12HD055892NIDDK NIH HHS R01 DK036904NIDDK NIH HHS R01DK036904
6 · The paper itself

Abstract

backgroundWomen with type 1 diabetes (T1DM) have an elevated fracture risk. We therefore compared the associations of health behaviours and clinical factors with bone mineral density (BMD) and bone remodelling between premenopausal women with and without T1DM to inform potential interventions.

methodsParticipants included women with T1DM (n = 89) from the Wisconsin Diabetes Registry Study and age-matched and race-matched controls without diabetes (n = 76). Peripheral (heel and forearm) and central (hip and spine) BMD, markers of bone resorption and formation, bone cell signalling, glycaemic control, and kidney function were assessed. Health behaviours and medical history were self-reported.

resultsIn controls, but not in women with T1DM, older age was associated with lower bone resorption (p ≤ 0.006) and formation (p = 0.0007). Body mass index was positively associated with heel and forearm BMD in both controls and T1DM women (all p < 0.0001), but with hip and spine BMD only in controls (p ≤ 0.005). Worse glycaemic control during the previous 10 years, greater alcohol intake, history of smoking, and lack of physical activity were associated with poorer bone outcomes only in women with T1DM (all p ≤ 0.002), whereas use of hormonal contraceptives was related to low bone formation in both women with and without T1DM (all p ≤ 0.006). Diabetes duration, insulin dose, residual C-peptide, and kidney function were not associated with bone in T1DM.

conclusionsAge and body mass index may not predict bone health in T1DM women. However, modifiable behaviours such as optimizing glycaemic control, limiting substance and hormonal contraceptive use, and increasing physical activity may improve bone health in T1DM women.

Indexed as

Health PromotionMotor ActivityPatient ComplianceAdolescentAdultBiomarkersBone DensityBone RemodelingCohort StudiesCombined Modality TherapyDiabetes Mellitus, Type 1FemaleFollow-Up StudiesHumansHyperglycemiaIncidenceBiomarkersbone mineral densitybone turnover markersglycaemic controltype 1 diabetes

Identifiers

PMID25470722
PMCPMC4406845
OpenAlexW2112636763

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.