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Diabetes in the News: Readability Analysis of Malaysian Diabetes Corpus

Author

Listed:
  • Afendi Hamat

    (Faculty of Social Sciences and Humanities, National University of Malaysia, Bangi 43600, Malaysia)

  • Azhar Jaludin

    (Faculty of Social Sciences and Humanities, National University of Malaysia, Bangi 43600, Malaysia)

  • Tuti Ningseh Mohd-Dom

    (Faculty of Dentistry, National University of Malaysia, Kuala Lumpur 50300, Malaysia)

  • Haslina Rani

    (Faculty of Dentistry, National University of Malaysia, Kuala Lumpur 50300, Malaysia)

  • Nor Aini Jamil

    (Faculty of Health Sciences, National University of Malaysia, Kuala Lumpur 50300, Malaysia)

  • Aznida Firzah Abdul Aziz

    (Faculty of Medicine, National University of Malaysia, Kuala Lumpur 50300, Malaysia)

Abstract

This paper describes a study to evaluate the readability scores of Malaysian newspaper articles meant to create awareness of diabetes among the public. In contrast to patient-specific sources of information, mass media may potentially reach healthy people, thus preventing them from becoming part of the diabetes statistics. Articles published within a selected corpus from the years 2013 to 2018 and related to awareness regarding diabetes were sampled, and their readability was scored using Flesch Kinkaid Reading Ease (FKRE). Features of three articles ranked as the best and worst for readability were qualitatively analyzed. The average readability for the materials is low at 49.6 FKRE, which may impede the uptake of information contained in the articles. Feature analysis of articles with the best and worst readability indicates that medical practitioners may not be the best spokesperson to reach the public. It also indicates that simple sentence structures could help improve readability. There is still much room for improvement in attaining good public health literacy through mass media communication. Public health and media practitioners should be vigilant of the language aspects of their writing when reaching out to the public.

Suggested Citation

  • Afendi Hamat & Azhar Jaludin & Tuti Ningseh Mohd-Dom & Haslina Rani & Nor Aini Jamil & Aznida Firzah Abdul Aziz, 2022. "Diabetes in the News: Readability Analysis of Malaysian Diabetes Corpus," IJERPH, MDPI, vol. 19(11), pages 1-10, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6802-:d:830306
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    References listed on IDEAS

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    1. Norrafizah Jaafar & Komathi Perialathan & Manimaran Krishnan & Nurashma Juatan & Masitah Ahmad & Teresa Yong Sui Mien & Kamarul Zaman Salleh & Affendi Isa & Suraiya Syed Mohamed & Nor Hanizah Abu Hani, 2021. "Malaysian Health Literacy: Scorecard Performance from a National Survey," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
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    Cited by:

    1. Zhenyi Wang & Wen Dong & Kun Yang, 2022. "Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China," IJERPH, MDPI, vol. 19(16), pages 1-26, August.

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