Evidence map›Paper›PMID 40715912›Full record

SynthesisArchives of osteoporosis2025

Impact of exercise modalities on bone health: a meta-analysis of aerobic, resistance, and combined training on bone mineral density in postmenopausal women.

Keyvan Hejazi, Gholam Rasul Mohammad Rahimi, Martin Hofmeister

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Archives of osteoporosis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
–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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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

3 authors.

Keyvan HejaziFaculty of Sports Sciences, Department of Sport Sciences, Hakim Sabzevari University, Sabzevar, Iran. k.hejazi@hsu.ac.ir.ORCID 0000-0002-4590-8018
Gholam Rasul Mohammad RahimiDepartment of Exercise Physiology, Ayandegan-E-Sharq Healthcare Center, Mashhad, Iran.ORCID 0000-0002-8159-2065
Martin HofmeisterDepartment Food and Nutrition, Consumer Centre of the German Federal State of Bavaria, Munich, Germany.ORCID 0000-0002-0693-7887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence of osteoporosis, particularly among the elderly population and postmenopausal women (PMW), remains a significant public health concern. Women aged 50 to 60 years are especially vulnerable to osteoporosis-related bone loss, emphasizing the need for preventative measures and early intervention. PURPOSE: This systematic review and meta-analysis aimed to evaluate the impact of aerobic, resistance, and combined training on bone mineral density (BMD) in PMW aged 50 to 60 years.

methodsA systematic search of six databases (Web of Science, Embase, Cochrane, PubMed, Google Scholar, and Scopus) was conducted. The review was registered in PROSPERO (CRD42024569040). Risk of bias was assessed using the Cochrane RoB 2 tool. A random-effects model was used to calculate mean differences (MDs) and 95% confidence intervals (CIs).

resultsForty studies with 2,230 participants were included. All exercise modalities significantly improved BMD at the lumbar spine (MD = 0.02 g/cm

conclusionRegular exercise, particularly combined aerobic and resistance training, is an effective non-pharmacological strategy to mitigate bone loss and promote skeletal health in PMW.

Indexed as

Bone DensityExerciseOsteoporosis, PostmenopausalPostmenopauseResistance TrainingFemaleHumansLumbar VertebraeMiddle AgedBone mineral densityExerciseMeta-analysisPostmenopausal

Identifiers

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.