Evidence map›Paper›PMID 40640761›Full record

ArticleBMC public health2025

Effectiveness of an mHealth-based impact exercise program for bone health in postmenopausal women: a randomised controlled trial protocol.

Borja Sañudo, Gonzalo Reverte-Pagola, Carol Maher, Job Godino, Luis Carrasco, Miguel Ángel Oviedo, Adrián Feria, Horacio Sánchez-Trigo, Hugo Gamboa, Raquel Domingo-Molina and 9 more

Registry-linked trialAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06741956 (Design, Validation and Implementation of a Wearable Device for the Primary Prevention of Osteoporosis and Distal Radius Fractures in Women), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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.

NCT06741956 naenrolling by invitationnot on this map

Design, Validation and Implementation of a Wearable Device for the Primary Prevention of Osteoporosis and Distal Radius Fractures in Women

TypeinterventionalSponsorUniversity of SevilleRan2023 to 2025Enrolled120ConditionsOsteoporosis in Post-menopausal Women, Prevention, Exercise, Physical ActivityArmsWeapom Lifestyle Intervention to measure bone impacts using a Fitbit Versa wearable device and the Weapom App.
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

19 authors.

Borja SañudoDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Gonzalo Reverte-PagolaDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Carol MaherAlliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, South Australia, Australia. Carol.Maher@unisa.edu.au.
Job GodinoExercise and Physical Activity Resource Center (EPARC), University of California, San Diego, USA.
Luis CarrascoDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Miguel Ángel OviedoDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Adrián FeriaDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Horacio Sánchez-TrigoDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Hugo GamboaLaboratory for Instrumentation, Biomedical Engineering and Radiation Physics (LIBPhys-UNL), Faculty of Sciences and Technology, NOVA University of Lisbon, Caparica, 2820 - 001, Portugal.
Raquel Domingo-MolinaDepartment of Obstetrics and Gynecology, Hospital Virgen del Rocío, Biomedicine Institute of Seville (IBIS), CSIC, Seville, 41013, Spain.
Alejandro Sánchez-ArteagaDepartment of General Surgery, Hospital Universitario Virgen del Rocío, Avda. Manuel Siurot S/N, Seville, 41013, Spain.
Miguel Ángel GiráldezInstitute for Sports and Sport Science, TU Dortmund University, Dortmund, Germany.
Mª Ángeles Martínez-MaestreDepartment of Obstetrics and Gynecology, Hospital Virgen del Rocío, Biomedicine Institute of Seville (IBIS), CSIC, Seville, 41013, Spain.
Elena CepedaServicio Andaluz de Salud (SAS), Seville, Spain.
Carmen Ladrón-de-GuevaraServicio Andaluz de Salud (SAS), Seville, Spain.
Carlos RangelDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Javier PecciDepartment of Physical Education and Sport, University of Seville, Seville, Spain.
Vahid FarrahiInstitute for Sports and Sport Science, TU Dortmund University, Dortmund, Germany.
Sergio TejeroOrthopaedic Department, Head of Foot and Ankle Unit, Department of Surgery, Of University Hospital Virgen del Rocío, University of Seville, Seville, Spain.

Funding

Ministerio de Universidades FPU22/01315Ministry of Science and Innovation of Spain under the State Plan for Scientific and Technical Research and Innovation 2021-2023 PID2022-142316OB-I00
6 · The paper itself

Abstract

backgroundOsteoporosis, a major global health concern, increases fracture risk due to reduced bone mineral density (BMD), particularly in postmenopausal women. Weight-bearing and high-impact exercises are recommended for bone health, yet accurately quantifying mechanical loading outside the laboratory remains a challenge. Without precise tools, it is difficult to assess whether individuals engage in sufficient osteogenic activity. Moreover, poor adherence to structured exercise programs limits their effectiveness. Mobile health (mHealth) technologies offer a promising solution by enabling real-time mechanical loading monitoring in free-living conditions and providing personalized feedback to improve adherence. This study evaluates the effectiveness of an individualized mHealth-based intervention in optimizing exercise adherence and promoting bone health in postmenopausal women through real-time quantification of mechanical loading.

methodsA single-blind randomized controlled trial (RCT) will include 120 postmenopausal women (≤ 10 years since menopause, < 150 min/week of moderate-to-vigorous physical activity). Participants will be randomly assigned (1:1) to an intervention group (mHealth-based impact exercise program) or a control group (usual care). The 9-month intervention will use wearable activity monitors (Fitbit Versa 3) to track step cadence, impact frequency, and intensity. Exercise targets include fast walking (≥ 100 steps/min), progressive jump training (≥ 3.9 G impact forces), and wrist wall strikes for radius bone adaptation. Primary outcomes include changes in BMD (DXA) at the lumbar spine, proximal femur, and distal radius. Secondary outcomes include bone geometry, and bone turnover markers (β-CTX, P1 NP). Functional mobility, muscle strength, physical activity levels, quality of life and adherence will also be assessed. DISCUSSION: This study will provide insights into optimal mechanical loading for osteoporosis prevention and assess the feasibility of mHealth solutions for improving adherence to osteogenic exercise programs. Findings may inform future guidelines on digital health applications for musculoskeletal health.

trial registrationNCT06741956.

Indexed as

Bone DensityExerciseExercise TherapyOsteoporosis, PostmenopausalPostmenopauseTelemedicineAgedFemaleHumansMiddle AgedRandomized Controlled Trials as TopicSingle-Blind MethodBone mineral densityHigh-impact exerciseMHealthOsteoporosisWearable activity monitors

Identifiers

PMID40640761
PMCPMC12243405

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.