ArticleArchives of osteoporosis2026
Validation of an mHealth adoption questionnaire for osteoporosis management in Iranian older adults at risk.
Article in Archives of osteoporosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increasing prevalence of osteoporosis among older adults and the growing need for effective self-management strategies, mobile health (mHealth) technologies may play an important role in supporting osteoporosis management. This study aimed to adapt and validate a culturally appropriate Persian questionnaire to assess mHealth adoption for osteoporosis management among Iranian adults aged ≥50 years, regardless of osteoporosis diagnosis status.
methodsA questionnaire was adapted from established theoretical frameworks, including the Unified Theory of Acceptance and Use of Technology (UTAUT), the Health Belief Model (HBM), self-efficacy, digital literacy, and technology anxiety. The instrument underwent cross-cultural adaptation and psychometric evaluation in two phases: (1) content validation and cognitive testing, and (2) construct validation using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with SmartPLS version 4.
resultsThe final instrument consisted of 54 items after removing poorly performing indicators. The measurement model demonstrated satisfactory psychometric properties, with average variance extracted (AVE) values ranging from 0.608 to 0.833 and composite reliability (CR) values between 0.866 and 0.950. Discriminant validity was supported by heterotrait-monotrait ratio (HTMT) values below the recommended threshold. Performance expectancy, self-efficacy, digital literacy, and perceived severity emerged as key determinants of mHealth adoption among older adults.
conclusionThis study developed a culturally adapted Persian questionnaire with strong reliability and validity for assessing mHealth adoption in osteoporosis management among older adults. The instrument may help researchers, clinicians, and policymakers identify barriers to digital health engagement and design targeted interventions to improve mHealth adoption in ageing populations. The study designed and validated a culturally appropriate questionnaire to assess the acceptance of mHealth for osteoporosis management in Iranian adults over 50. Key predictors included performance expectancy, self-efficacy, and digital literacy. The findings support implementing tailored interventions to increase mHealth acceptance among older adults in resource-limited settings.
Indexed as
Identifiers
What OpenQuestion holds
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.