Your browser doesn't support javascript.
loading
The causal relationship model of factors influencing COVID-19 preventive behaviors during the post-pandemic era and implications for health prevention strategies: a case of Bangkok City, Thailand.
Janmaimool, Piyapong; Chontanawat, Jaruwan; Nunsunanon, Siriphan; Chudech, Surapong.
Afiliação
  • Janmaimool P; ASEAN Institute for Health Development, Mahidol University, Salaya, Phuttamonthon 4 Road, 999, 73170, Nakorn Pathom Province, Thailand. piyapong.jan@mahidol.ac.th.
  • Chontanawat J; The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand.
  • Nunsunanon S; Department of Social Sciences and Humanities, School of Liberal Arts, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand.
  • Chudech S; Department of Social Sciences and Humanities, School of Liberal Arts, King Mongkut's University of Technology Thonburi, 126 Pracha-Uthit Rd., Thungkru, Bangkok, 10140, Thailand.
BMC Infect Dis ; 24(1): 887, 2024 Aug 29.
Article em En | MEDLINE | ID: mdl-39210295
ABSTRACT

BACKGROUND:

Though, many countries are currently in the COVID post-pandemic era, people's health protective behaviours are still essential to protect their health and well-being. This study aims to evaluate people's understanding and perceptions of COVID-19 risk characteristics (i.e. threat occurrence, threat severity, perceived susceptibility and exposure), the health risk perception towards COVID-19, and health protective behaviours. The study also aims to estimate the associations among these factors by the analysis of structural equation modelling (SEM).

METHODS:

From 15 October to 9 November 2022, questionnaire surveys were administrated to 521 people living in Bangkok of Thailand by using the convenience sampling technique. The analyses were carried out in three phases including descriptive statistical analyses, a measurement model assessment using a confirmatory factor analysis (CFA), and structural equation modelling (SEM) analysis.

RESULTS:

The results of descriptive analyses demonstrated that the majority of respondents, 39.9%, had the age between 20 and 30 years old, and 61.4% of them were female. Approximately 52.1% of them had a bachelor's degree. Upon analysing individuals' understanding and perceptions of all risk characteristics, individuals' understanding of COVID-19 severity did not statistically affect health risk perception towards COVID-19, whereas perceived exposure had the strongest effect and in turn influenced health protective behaviours. Perceived susceptibility and understanding of the threat occurrence also significantly affected health risk perception, and indirectly affected health protective behaviours.

CONCLUSIONS:

This study implies that though the potential health impact of COVID-19 is perceived as less severe, people can still construct a perception of its risk particularly based on their perceived exposure and susceptibility. Thus, communicating people about exposure conditions and susceptibility can greatly contribute to people' construction of risk perception towards COVID-19 which subsequently leads to the decision to perform health protective behaviours.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamentos Relacionados com a Saúde / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Comportamentos Relacionados com a Saúde / SARS-CoV-2 / COVID-19 Idioma: En Ano de publicação: 2024 Tipo de documento: Article