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Identifying Factors That Predict Behavioral Intention to Stay under Lockdown during the SARS-CoV-2 Pandemic Using a Structural Equation Model

Author

Listed:
  • Joaquin Alberto Padilla-Bautista

    (Research Group of Mental Health, Profession and Society, Laboratory of Psychosocial Research, Guadalupe Victoria Engineering and Business Faculty, Autonomous University of Baja California, Mexicali 21720, Mexico)

  • Gilberto Manuel Galindo-Aldana

    (Research Group of Mental Health, Profession and Society, Laboratory of Neurosciences and Cognition, Guadalupe Victoria Engineering and Business Faculty, Autonomous University of Baja California, Mexicali 21720, Mexico)

Abstract

Lockdown is considered to be a successful strategy for preventing the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To predict the behavioral intention to stay under lockdown (BIKL), components of the theory of planned behavior (TPB) and the behavioral indicators of infection were applied. Sampling was conducted between 11 April and 30 May 2020. The objective of the study was to identify factors predictive of BIKL by means of a structural equation model. Method: A correlational and comparative repeated measures study was conducted with a sample of 315 participants from different cities in Mexico. Results: Model indices were χ 2 = 505.1, SD = 228, p < 0.001, χ 2 / SD = 2.2, CFI = 0.91, RMSEA = 0.06, and SRMR = 0.06; 47% of BIKL was explained by the variables attitude ( β = 0.71, p < 0.001), subjective norm ( β = 0.14, p = 0.042), and behavioral control ( β = 0.24, p < 0.001). Conclusions: Personal and family work conviction and persuasion are favorable for the maintenance of lockdown, including concepts of civic responsibility, a positive attitude, and a family that supports compliance with lockdown. From a governmental point of view, there is a context that promotes control over the situation and exerts a positive impact on the behavioral intention to stay under lockdown.

Suggested Citation

  • Joaquin Alberto Padilla-Bautista & Gilberto Manuel Galindo-Aldana, 2022. "Identifying Factors That Predict Behavioral Intention to Stay under Lockdown during the SARS-CoV-2 Pandemic Using a Structural Equation Model," IJERPH, MDPI, vol. 19(5), pages 1-11, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:5:p:2757-:d:759897
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    References listed on IDEAS

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    1. Enrico Bentivegna & Silvia Di Meo & Anita Carriero & Nadia Capriotti & Alberto Barbieri & Paolo Martelletti, 2022. "Access to COVID-19 Vaccination during the Pandemic in the Informal Settlements of Rome," IJERPH, MDPI, vol. 19(2), pages 1-11, January.
    2. Wei Hong & Ru-De Liu & Yi Ding & Jacqueline Hwang & Jia Wang & Yi Yang, 2021. "Cross-Country Differences in Stay-at-Home Behaviors during Peaks in the COVID-19 Pandemic in China and the United States: The Roles of Health Beliefs and Behavioral Intention," IJERPH, MDPI, vol. 18(4), pages 1-14, February.
    3. Alessandro Germani & Livia Buratta & Elisa Delvecchio & Claudia Mazzeschi, 2020. "Emerging Adults and COVID-19: The Role of Individualism-Collectivism on Perceived Risks and Psychological Maladjustment," IJERPH, MDPI, vol. 17(10), pages 1-15, May.
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