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Asthma-Related Knowledge and Practices among Mothers of Asthmatic Children: A Latent Class Analysis

Author

Listed:
  • Salvatore Fasola

    (Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy)

  • Velia Malizia

    (Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy)

  • Giuliana Ferrante

    (Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, Pediatric Division, University of Verona, 37134 Verona, Italy)

  • Amelia Licari

    (Department of Pediatrics, Fondazione IRCCS Policlinico San Matteo, University of Pavia, 27100 Pavia, Italy)

  • Laura Montalbano

    (Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy)

  • Giovanna Cilluffo

    (Department of Earth and Marine Sciences, University of Palermo, 90123 Palermo, Italy)

  • Stefania La Grutta

    (Institute of Translational Pharmacology, National Research Council, 90146 Palermo, Italy)

Abstract

Mothers’ knowledge about childhood asthma influences management practices and disease control, but validating knowledge/practice questionnaires is difficult due to the lack of a gold standard. We hypothesized that Latent Class Analysis (LCA) could help identify underlying mother profiles with similar knowledge/practices. A total of 438 mothers of asthmatic children answered a knowledge/practice questionnaire. Using answers to the knowledge/practice questionnaire as manifest variables, LCA identified two classes: Class 1, “poor knowledge” (33%); Class 2, “good knowledge” (67%). Classification accuracy was 0.96. Mothers in Class 2 were more likely to be aware of asthma-worsening factors and indicators of attacks. Mothers in Class 1 were more likely to prevent exposure to tobacco smoke (91.1% vs. 78.8%, p = 0.005). For attacks, mothers in Class 2 were more likely to go to the emergency department and follow the asthma action plan. Mothers in Class 2 more frequently had a high education level (79.5% vs. 65.2%, p = 0.004). Children in Class 2 more frequently had fully controlled asthma (36.7% vs. 25.9%, p = 0.015) and hospitalizations for attacks in the previous 12 months (24.2% vs. 10.7%, p = 0.003). LCA can help discover underlying mother profiles and plan targeted educational interventions.

Suggested Citation

  • Salvatore Fasola & Velia Malizia & Giuliana Ferrante & Amelia Licari & Laura Montalbano & Giovanna Cilluffo & Stefania La Grutta, 2022. "Asthma-Related Knowledge and Practices among Mothers of Asthmatic Children: A Latent Class Analysis," IJERPH, MDPI, vol. 19(5), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2539-:d:755844
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    References listed on IDEAS

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    1. Linzer, Drew A. & Lewis, Jeffrey B., 2011. "poLCA: An R Package for Polytomous Variable Latent Class Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i10).
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