Validating the Hebrew Version of the Modified Dementia Worry Scale (H-MDWS)

J Cross Cult Gerontol. 2024 Mar;39(1):73-88. doi: 10.1007/s10823-023-09494-2. Epub 2023 Dec 19.

Abstract

The body of knowledge regarding dementia worry - people's sense of threat about developing dementia - is still limited. Additional studies are essential to better understand levels of dementia worry and its correlates, especially in cross-cultural contexts. To reach this goal, it is critical to use structured and valid measures to assess dementia worry and to verify these measures in different languages. Therefore, the aim of the current study was to evaluate the psychometric properties of the Hebrew version of the Modified Dementia Worry Scale (the H-MDWS). A cross-sectional study using an online survey was conducted with 368 Israeli laypeople who were 18 years of age or older (53% women, 76% Jewish, mean age = 40, average years of education = 14). In addition to the H-MDWS, participants were asked to report their fear of Alzheimer's disease (using a dichotomous single item), stigma, health anxiety, and demographic characteristics. Reliability analyses showed that the Cronbach's alpha for the H-MDWS was excellent (α = 0.95). The results of the factor analysis demonstrated that the scale has a unidimensional structure, explaining over 66% of the variance. In addition, we found significant correlations between fear of developing Alzheimer's disease, stigma, and health anxiety, on the one hand, and the H-MDWS on the other. The H-MDWS is a reliable and valid tool for assessing dementia worry. The validation of the tool not only allows expanding the body of knowledge related to dementia worry, but will also allow professionals and caregivers to identify people who are at risk of reporting dementia worry and develop interventions accordingly.

Keywords: Construct validity; Convergent validity; Dementia Worry Scale; Reliability.

MeSH terms

  • Adolescent
  • Adult
  • Alzheimer Disease*
  • Anxiety / diagnosis
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Psychometrics
  • Reproducibility of Results
  • Surveys and Questionnaires