Nevin Manimala Statistics

Hungarian adaptation and validation of the Osteoporosis Questionnaire (OPQ)

Orv Hetil. 2023 Jan 8;164(1):29-37. doi: 10.1556/650.2023.32658. Print 2023 Jan 8.


INTRODUCTION: Osteoporosis affects one in three women and one in five men over the age of 50. We do not have an osteoporosis-related knowledge questionnaire over the age of 50, which is considered strong evidence in the prevention and treatment of the disease.

OBJECTIVE: Aim of the study was to validate the Hungarian form of the Osteoporosis Questionnaire in Hungarian-speaking women over the age of 50.

METHOD: The questionnaire was validated into Hungarian according to Beaton’s six-step method. Our sample consisted of 326 women. During our statistical analysis, we calculated descriptive statistics, difference tests, Cronbach’s alpha value, and Spearman’s correlation coefficient for test-retest and for external validity. Quality of life and physical activity were examined to support the external validity.

RESULTS: Our sample (63.08 ± 9.36 years) scored 8.76 ± 6.94 points on the questionnaire. Cronbach’s alpha value was 0.89. For the test-retest, Spearman’s correlation coefficient showed a value of p≥0.25 for all the questions. Significant correlations were found between knowledge and age (R = 0.37; p<0.001) and years of using hormone replacement therapy (R = 0.34; p = 0.02). The correlation analysis showed significant (p<0.001) correlation between knowledge and all sub-dimensions of quality of life. Significant correlation was found between transport movement (p<0.001; R = 0.21), intensive (p<0.001; R = 0.354), moderate recreational activity (p<0.001; R = 0.348), total moderate (p = 0.041; R = 0.125) total intense movements (p = 0.018; R = 0.145) and knowledge.

DISCUSSION: The Hungarian questionnaire was validated in accordance with international practice.

CONCLUSION: The Hungarian version of the Osteoporosis Questionnaire is a reliable, adaptable questionnaire for measuring the osteoporosis-related knowledge of the Hungarian female population over 50. Orv Hetil. 2022; 163(51): 29-37.

PMID:36617349 | DOI:10.1556/650.2023.32658

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