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The Brief Health Literacy Scale for Adults: Adaptation and Validation of the Health Literacy for School-Aged Children Questionnaire

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  • Stinne Eika Rasmussen

    (Research Unit for General Practice, Bartholins Allé 2, 8000 Aarhus C, Denmark
    Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, Denmark)

  • Anna Aaby

    (Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, Denmark)

  • Anne Søjbjerg

    (Research Unit for General Practice, Bartholins Allé 2, 8000 Aarhus C, Denmark
    Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, Denmark)

  • Anna Mygind

    (Research Unit for General Practice, Bartholins Allé 2, 8000 Aarhus C, Denmark)

  • Helle Terkildsen Maindal

    (Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, Denmark)

  • Olli Paakkari

    (Faculty of Sport and Health Sciences, Research Centre for Health Promotion, University of Jyväskylä, Keskussairaalantie 4, 40014 Jyväskylä, Finland)

  • Kaj Sparle Christensen

    (Research Unit for General Practice, Bartholins Allé 2, 8000 Aarhus C, Denmark
    Department of Public Health, Aarhus University, Bartholins Allé 2, 8000 Aarhus C, Denmark)

Abstract

The Health Literacy for School-Aged Children (HLSAC) is a brief, generic instrument measuring health literacy among school-aged children. Given its brevity and broad conceptualization of health literacy, the HLSAC is a potentially valuable measuring instrument among adults as well. This validation study aimed to adapt the HLSAC questionnaire to an adult population through assessment of content validity and subsequently determine the structural validity of the adapted instrument, the Brief Health Literacy scale for Adults (B-HLA). The content validity of the HLSAC was assessed through interviews with respondents and experts, and the structural validity of the adapted instrument (B-HLA) was evaluated using Rasch analysis. The content validity assessment ( n = 25) gave rise to adjustments in the wording of five items. The B-HLA demonstrated an overall misfit to the Rasch model ( n = 290). Items 6 and 8 had the poorest individual fits. We found no signs of local dependency or differential item functioning concerning sex, age, education, and native language. The B-HLA demonstrated unidimensionality and ability to discriminate across health literacy levels (PSI = 0.80). Discarding items 6 or 8 resulted in an overall model fit and individual fit of all items. In conclusion, the B-HLA appears to be a valid and reliable instrument for assessing health literacy among adults.

Suggested Citation

  • Stinne Eika Rasmussen & Anna Aaby & Anne Søjbjerg & Anna Mygind & Helle Terkildsen Maindal & Olli Paakkari & Kaj Sparle Christensen, 2023. "The Brief Health Literacy Scale for Adults: Adaptation and Validation of the Health Literacy for School-Aged Children Questionnaire," IJERPH, MDPI, vol. 20(22), pages 1-13, November.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:22:p:7071-:d:1281647
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    References listed on IDEAS

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    1. Karina Friis & Anna Aaby & Mathias Lasgaard & Marie Hauge Pedersen & Richard H. Osborne & Helle Terkildsen Maindal, 2020. "Low Health Literacy and Mortality in Individuals with Cardiovascular Disease, Chronic Obstructive Pulmonary Disease, Diabetes, and Mental Illness: A 6-Year Population-Based Follow-Up Study," IJERPH, MDPI, vol. 17(24), pages 1-10, December.
    2. Hongyan Liu & Huan Zeng & Yang Shen & Fan Zhang & Manoj Sharma & Weiyun Lai & Yu Zhao & Genhui Tao & Jun Yuan & Yong Zhao, 2018. "Assessment Tools for Health Literacy among the General Population: A Systematic Review," IJERPH, MDPI, vol. 15(8), pages 1-16, August.
    3. Veronica Velasco & Andrea Gragnano & Gruppo Regionale HBSC Lombardia 2018 & Luca Piero Vecchio, 2021. "Health Literacy Levels among Italian Students: Monitoring and Promotion at School," IJERPH, MDPI, vol. 18(19), pages 1-13, September.
    4. David Andrich, 1978. "A rating formulation for ordered response categories," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 561-573, December.
    5. Saulius Sukys & Laima Trinkuniene & Ilona Tilindiene, 2019. "Subjective Health Literacy among School-Aged Children: First Evidence from Lithuania," IJERPH, MDPI, vol. 16(18), pages 1-11, September.
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