Evidence map›Paper›PMID 33892674›Full record

ArticleBMC public health2021

The development of a reliable and valid instrument to measure the osteoporosis-related knowledge: validation of the Hungarian version of Osteoporosis Knowledge Assessment Tool (OKAT).

Peter Tardi, Brigitta Szilagyi, Alexandra Makai, Monika Gyuro, Pongrac Acs, Melinda Jaromi, Balint Molics, Marta Hock

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

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

10 citing papers in PubMed.

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  4. Osteoporosis-related knowledge in a German adult population: determinants and translational implications for fragility fracture prevention.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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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

8 authors.

Peter TardiUniversity of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary. peter.tardi@etk.pte.hu.ORCID 0000-0002-5091-7373
Brigitta SzilagyiUniversity of Pécs, Faculty of Health Sciences, Doctoral School of Health Sciences, Pécs, Hungary.
Alexandra MakaiUniversity of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary.
Monika GyuroUniversity of Pécs, Faculty of Health Sciences, Institute of Health Insurance, Pécs, Hungary.
Pongrac AcsUniversity of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary.
Melinda JaromiUniversity of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary.
Balint Molics *University of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary.
Marta Hock *University of Pécs, Faculty of Health Sciences, Institute of Physiotherapy and Sport Science, Pécs, Hungary.

Funding

Economic Development and Innovation Operational Programme GINOP-2.3.2-15-2016-00047, Economic Development and Innovation Operational Programme
6 · The paper itself

Abstract

backgroundOsteoporosis is one of the most common chronic musculoskeletal diseases. Osteoporosis-related knowledge is an important contributor in to prevent osteoporosis. There is no validated reliable questionnaire to measure the knowledge in Hungary. The aim of the study was to validate the Osteoporosis Knowledge Assessment Tool (OKAT) Hungarian version.

methodsThe research was a randomized validation study of a new Hungarian language instrument. The questionnaire was administered to 557 randomly selected healthy women (age between 25 and 44 years) from December 2018 to July 2019 in Baranya county, Hungary. The reliability was examined by the Flesch reading ease and McNemar's test. We examined item discrimination and item-total correlations, inter-item consistency (Cronbach's alpha coefficient) and principal component factor analysis.

resultsSignificant differences (p <  0.001) were reported between total scores and the age categories. Significant (p <  0.001) correlation (r = 0.25) was found between the education level and the knowledge. Significantly (p <  0.001) higher knowledge were found in health care profession (14.53 ± 3.58) than the non-health care profession (9.99 ± 4.04). Participants with osteoporosis or fracture in family history had better knowledge (p <  0.001). Flesch reading ease was 44, the questionnaire had a Ferguson's sigma of 0.94 and a Cronbach's alpha of 0.81. There were no negative inter-item correlations psychometric properties of the OKAT, all items had more than 70% of correlations (p <  0.001).

conclusionsThe Hungarian version of the Osteoporosis Knowledge Assessment Tool is a reliable and objective questionnaire to measure women's knowledge in Hungary.

Indexed as

LanguageOsteoporosisAdultFemaleHumansHungaryPsychometricsReproducibility of ResultsSurveys and QuestionnairesHealth educationMedical educationOsteoporosis-related knowledgePatient educationPublic health

Identifiers

PMID33892674
PMCPMC8063278

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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.