Factors Related to Acute Respiratory Infection Prevention Behavior After the COVID-19 Pandemic in Urban Communities: The Integration of Protection Motivation Theory

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Lusia Henny Mariati
Yuliana R. R. Krowa

Abstract

Following the end of the COVID-19 pandemic status, the incidence of acute respiratory infections (ARIs) has increased, affecting not only children but also adolescents and adults. The Protection Motivation Theory (PMT) provides a framework for understanding how individuals engage in preventive behaviors against ARIs. This study aimed to examine the relationship between factors influencing preventive behavior against ARIs by integrating PMT, which includes threat appraisal and coping appraisal components. A cross-sectional research design was employed using an online questionnaire distributed to a randomly selected sample of 320 respondents. Data were analyzed using both bivariate and multivariate logistic regression methods. The multivariate analysis revealed that among the five assessed factors—perceived severity, perceived threat, self-efficacy, response efficacy, response cost, and behavioral intention—the most significant predictors were response efficacy (p = 0.002, OR = 3.439) and behavioral intention (p = 0.004, OR = 1.988). The findings indicate that individuals with higher response efficacy were 3.4 times more likely to engage in ARI prevention behavior, while those with stronger behavioral intentions were 1.9 times more likely to do so, compared to other influencing factors.

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How to Cite
1.
Mariati LH, Krowa YRR. Factors Related to Acute Respiratory Infection Prevention Behavior After the COVID-19 Pandemic in Urban Communities: The Integration of Protection Motivation Theory. jdk [Internet]. 2024 Nov. 30 [cited 2026 Oct. 1];12(3):287-95. Available from: https://jdk.ulm.ac.id/index.php/jdk/article/view/784

References

  1. De Conto F, Conversano F, Medici MC, Ferraglia F, Pinardi F, Arcangeletti MC, et al. Epidemiology of human respiratory viruses in children with acute respiratory tract infection in a 3-year hospital-based survey in Northern Italy. Diagn Microbiol Infect Dis. 2019 Jul;94(3):260–7.
  2. Veiga ABG, Martins LG, Riediger I, Mazetto A, do Carmo Debur M, Gregianini TS. Not Just a Common Cold: Endemic Coronaviruses OC43, HKU1, NL63, and 229E Associated with Severe Acute Respiratory Infection and Fatality Cases Among Healthy Adults. SSRN Electronic Journal. 2020;
  3. Barrera-Badillo G, Olivares-Flores B, Ruiz-López A, Fierro-Valdez MÁ, Gutiérrez-Vargas RI, López-Martínez I. Human Metapneumovirus: Etiological Agent of Severe Acute Respiratory Infections in Hospitalized and Deceased Patients with a Negative Diagnosis of Influenza. Pathogens. 2020 Jan 28;9(2):85.
  4. Kenmoe S, Sadeuh‐Mba SA, Vernet M, Penlap Beng V, Vabret A, Njouom R. Molecular epidemiology of Enteroviruses and Rhinoviruses in patients with acute respiratory infections in Yaounde, Cameroon. Influenza Other Respir Viruses. 2021 Sep 10;15(5):641–50.
  5. Roth GA, Abate D, Abate KH, Abay SM, Abbafati C, Abbasi N, et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet. 2018 Nov;392(10159):1736–88.
  6. Raita Y, Camargo CA, Bochkov YA, Celedón JC, Gern JE, Mansbach JM, et al. Integrated-omics endotyping of infants with rhinovirus bronchiolitis and risk of childhood asthma. Journal of Allergy and Clinical Immunology. 2021 Jun;147(6):2108–17.
  7. Bergroth E, Aakula M, Elenius V, Remes S, Piippo-Savolainen E, Korppi M, et al. Rhinovirus Type in Severe Bronchiolitis and the Development of Asthma. J Allergy Clin Immunol Pract. 2020 Feb;8(2):588-595.e4.
  8. Murarkar S, Gothankar J, Doke P, Dhumale G, Pore PD, Lalwani S, et al. Prevalence of the Acute Respiratory Infections and Associated Factors in the Rural Areas and Urban Slum Areas of Western Maharashtra, India: A Community-Based Cross-Sectional Study. Front Public Health. 2021 Oct 26;9.
  9. Ahmadi Gohari M, Chegeni M, Haghdoost AA, Mirzaee F, White L, Kostoulas P, et al. Excess deaths during the COVID-19 pandemic in Iran. Infect Dis. 2022 Dec 2;54(12):909–17.
  10. Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, et al. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw Open. 2020 Mar 23;3(3):e203976.
  11. Pan L, Yuan Y, Cui Q, Zhang X, Huo Y, Liu Q, et al. Impact of the COVID-19 pandemic on the prevalence of respiratory viral pathogens in patients with acute respiratory infection in Shanghai, China. Front Public Health. 2024 Feb 7;12.
  12. Chadha M, Hirve S, Bancej C, Barr I, Baumeister E, Caetano B, et al. Human respiratory syncytial virus and influenza seasonality patterns—Early findings from the WHO global respiratory syncytial virus surveillance. Influenza Other Respir Viruses. 2020 Nov 12;14(6):638–46.
  13. Zhu G, Xu D, Zhang Y, Wang T, Zhang L, Gu W, et al. Epidemiological characteristics of four common respiratory viral infections in children. Virol J. 2021 Dec 6;18(1):10.
  14. Moriyama M, Hugentobler WJ, Iwasaki A. Seasonality of Respiratory Viral Infections. Annu Rev Virol. 2020 Sep 29;7(1):83–101.
  15. Haapanen M, Renko M, Artama M, Kuitunen I. The impact of the lockdown and the re-opening of schools and day cares on the epidemiology of SARS-CoV-2 and other respiratory infections in children – A nationwide register study in Finland. EClinicalMedicine. 2021 Apr;34:100807.
  16. Terliesner N, Unterwalder N, Edelmann A, Corman V, Knaust A, Rosenfeld L, et al. Viral infections in hospitalized children in Germany during the COVID-19 pandemic: Association with non-pharmaceutical interventions. Front Pediatr. 2022 Aug 11;10.
  17. Mullan B, Norman P, Boer H, Seydel E. Protection Motivation Theory. Predicting and changing health behaviour: Research and practice with social cognition models. Berkshire: Open University Press; 2015.
  18. Riyadi R, Larasaty P. Faktor yang Berpengaruh terhadap Kepatuhan Masyarakat pada Protokol Kesehatan dalam Mencegah Penyebaran Covid-19. Seminar Nasional Official Statistics. 2021;
  19. Ezati Rad R, Mohseni S, Kamalzadeh Takhti H, Hassani Azad M, Shahabi N, Aghamolaei T, et al. Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health. 2021 Dec 8;21(1):466.
  20. Pilch I, Wardawy P, Probierz E. The predictors of adaptive and maladaptive coping behavior during the COVID-19 pandemic: The Protection Motivation Theory and the Big Five personality traits. PLoS One. 2021 Oct 1;16(October).
  21. Prasetyo YT, Castillo AM, Salonga LJ, Sia JA, Seneta JA. Factors affecting perceived effectiveness of COVID-19 prevention measures among Filipinos during Enhanced Community Quarantine in Luzon, Philippines: Integrating Protection Motivation Theory and extended Theory of Planned Behavior. International Journal of Infectious Diseases. 2020;
  22. Raude J, Lecrique JM, Lasbeur L, Leon C, Guignard R, du Roscoät E, et al. Determinants of Preventive Behaviors in Response to the COVID-19 Pandemic in France: Comparing the Sociocultural, Psychosocial, and Social Cognitive Explanations. Front Psychol. 2020;
  23. Barati M, Bashirian S, Jenabi E, Khazaei S, Karimi-Shahanjarini A, Zareian S, et al. Factors associated with preventive behaviours of COVID-19 among hospital staff in Iran in 2020: an application of the Protection Motivation Theory. Journal of Hospital Infection. 2020;105(3).
  24. Kowalski RM, Deas N, Britt N, Richardson E, Finnell S, Evans K, et al. Protection Motivation Theory and Intentions to Receive the COVID-19 Vaccine. Health Promot Pract. 2023 May 8;24(3):465–70.
  25. Ekow Arkorful V, Kweku Lugu B, Shuliang Z, Mamley Charway S. Investigating COVID-19 Vaccine Uptake Intention Using an Integrated Model of Protection Motivation Theory and an Extended Version of the Theory of Planned Behavior. Health Commun. 2024 Apr 15;39(5):998–1011.
  26. Salmani B, Prapavessis H. Using a protection motivation theory framework to reduce vaping intention and behaviour in Canadian university students who regularely vape: A randomized controlled trial. J Health Psychol. 2023 Aug 12;28(9):832–45.
  27. Wright L, Steptoe A, Mak HW, Fancourt D. Do people reduce compliance with COVID-19 guidelines following vaccination? A longitudinal analysis of matched UK adults. J Epidemiol Community Health (1978). 2022 Feb;76(2):109–15.
  28. Tran VT, Ravaud P. COVID-19–related perceptions, context and attitudes of adults with chronic conditions: Results from a cross-sectional survey nested in the ComPaRe e-cohort. PLoS One. 2020 Aug 6;15(8):e0237296.
  29. Ezati Rad R, Mohseni S, Kamalzadeh Takhti H, Hassani Azad M, Shahabi N, Aghamolaei T, et al. Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health. 2021 Dec 8;21(1):466.