Evidence map›Paper›PMID 32500299›Full record

Trial reportOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2020

Changes in spinal bone density, back muscle size, and visceral adipose tissue and their interaction following a multi-component exercise program in older men: secondary analysis of an 18-month randomized controlled trial.

A-F Turcotte, S Kukuljan, J Dalla Via, C Gagnon, G Abbott, R M Daly

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 2 institutions in 2 countries.

A-F TurcotteEndocrinology and Nephrology Unit, CHU de Québec-Université Laval Research Centre, Québec City, Canada.
S KukuljanInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3128, VIC, Australia.
J Dalla ViaInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3128, VIC, Australia.
C GagnonEndocrinology and Nephrology Unit, CHU de Québec-Université Laval Research Centre, Québec City, Canada.
G AbbottInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3128, VIC, Australia.
R M DalyInstitute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, 3128, VIC, Australia. rmdaly@deakin.edu.au.ORCID https://orcid.org/0000-0002-9897-1598
Deakin University · AUUniversité Laval · CA

Funding

Australian Research Council Linkage Scheme LP0347469
6 · The paper itself

Abstract

In middle-aged and older men, an 18-month multi-component exercise program improved spinal trabecular BMD, paraspinal, and psoas muscle cross-sectional area (CSA) but not visceral adipose tissue (VAT). However, changes in both muscle and VAT CSA were associated with changes in spinal BMD, independent of the exercise intervention.

introductionIn older men, we previously reported that a multi-component exercise program improved lumbar spine (LS) trabecular volumetric BMD (Tb.vBMD) compared with no exercise. This study aimed to investigate the following: (1) the effect of the exercise program on paraspinal and psoas (back) muscle CSA and VAT, and 2) if any exercise-related changes in muscle CSA and/or VAT were associated with changes in spinal BMD.

methodsMen (n = 180) aged 50-79 years were randomized to an exercise or no-exercise group. Exercise involved high-intensity progressive resistance training (60-85% max) with weight-bearing impact exercise (3 days/week) for 18 months. Quantitative computed tomography was used to assess L1-L3 Tb.vBMD, paraspinal, and psoas muscle CSA and VAT.

resultsExercise resulted in a 2.6% ((95% CI, 1.1, 4.1), P < 0.01) net gain in back muscle CSA, but no effect on VAT (-1.6% (95% CI, -7.3, 4.2)) relative to no exercise. Robust regression indicated that percentage changes in Tb.vBMD were positively associated with changes (expressed as z-scores) in back muscle CSA in both the exercise (beta (β)-coefficient = 1.9, 95% CI 0.5, 3.2, P = 0.007) and no-exercise (β = 2.6, 95% CI, 1.1, 4.1, P = 0.001) group, and negatively with the changes in VAT (β = -2.0, 95% CI -3.3, -0.7, P = 0.003) in the exercise only group. There were no group differences in the slopes for the muscle-bone or VAT-bone relationships. Regression analysis (pooled data) revealed that back muscle CSA and VAT were independent predictors of the change in Tb.vBMD, explaining 14% of the variance.

conclusionA multi-component exercise program in middle-aged and older men improved spinal BMD and back muscle size but not visceral fat. However, changes in back muscle size and VAT were associated with the changes in spinal BMD, independent of exercise.

trial registrationACTRN 12617001224314, 22/08/2017 retrospectively registered.

Indexed as

Back MusclesBone DensityAgedExerciseExercise TherapyHumansIntra-Abdominal FatMaleMiddle AgedMuscle cross-sectional areaOlder menResistance trainingVertebral bone densityVisceral fat

Identifiers

PMID32500299
OpenAlexW3033457943

What OpenQuestion holds

Textmetadata
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.