» Articles » PMID: 36147293

A Cross-national and Longitudinal Analysis of Handwashing and Its Predictors During the COVID-19 Pandemic in France and Belgium

Overview
Date 2022 Sep 23
PMID 36147293
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Using a longitudinal design, we investigate how the adherence to handwashing and its underlying socio-psychological predictors evolved over time during the COVID-19 pandemic and under distinct circumstances (e.g. when the crisis was more acute or chronic).

Method: We collected data ( = 753) in Belgium and France at the onset of the COVID-19 pandemic when the crisis was at its peak (April 2020), and almost a year later (February 2021), when the outbreak was more manageable.

Results: Regression models suggest that the compliance with handwashing and its pattern of underlying predictors remained remarkably stable over time despite the variations in contextual factors such as the severity of the health crisis and the stringency of health measures. As such, the findings also highlight the robustness of the models that predict it, namely the Theory of Planned Behavior. The intentions to perform the behavior, the perceived control over it, and being part of the (para)medical field were among the strongest predictors.

Conclusions: In practice, the stability of the underlying factors suggests a set of action levers that can be used in communication campaigns aimed at fostering its adherence throughout the pandemic.

Citing Articles

Self-reported frequency of handwashing among pet and non-pet owners in different situations: results of four surveys of the general adult population in Germany.

Nettelrodt K, von Lengerke T BMC Public Health. 2024; 24(1):3581.

PMID: 39719551 PMC: 11669229. DOI: 10.1186/s12889-024-21106-3.


Psychosocial determinants of handwashing and physical distancing behaviour during the COVID-19 pandemic in the Netherlands: A longitudinal analysis.

Bussemakers C, Stappers N, Kroese F, van den Putte B, de Bruin M Br J Health Psychol. 2024; 30(1):e12755.

PMID: 39358828 PMC: 11586808. DOI: 10.1111/bjhp.12755.


Predicting health behaviors during the COVID-19 pandemic: A longitudinal study.

Wollast R, Schmitz M, Bigot A, Brisbois M, Luminet O PLoS One. 2024; 19(3):e0299868.

PMID: 38489308 PMC: 10942062. DOI: 10.1371/journal.pone.0299868.


Trajectories of self-kindness, common humanity, and mindfulness during the COVID-19 pandemic: A person-oriented multi-trajectory approach.

Wollast R, Lacourse E, Mageau G, Pelletier-Dumas M, Dorfman A, Dupere V PLoS One. 2023; 18(12):e0292522.

PMID: 38109431 PMC: 10727429. DOI: 10.1371/journal.pone.0292522.

References
1.
Hamilton K, Smith S, Keech J, Moyers S, Hagger M . Application of the Health Action Process Approach to Social Distancing Behavior During COVID-19. Appl Psychol Health Well Being. 2020; 12(4):1244-1269. PMC: 7537318. DOI: 10.1111/aphw.12231. View

2.
Kim D, Hwong A, Stafford D, Hughes D, OMalley A, Fowler J . Social network targeting to maximise population behaviour change: a cluster randomised controlled trial. Lancet. 2015; 386(9989):145-53. PMC: 4638320. DOI: 10.1016/S0140-6736(15)60095-2. View

3.
WATSON D, Clark L, Tellegen A . Development and validation of brief measures of positive and negative affect: the PANAS scales. J Pers Soc Psychol. 1988; 54(6):1063-70. DOI: 10.1037//0022-3514.54.6.1063. View

4.
Hagger M, Smith S, Keech J, Moyers S, Hamilton K . Predicting Social Distancing Intention and Behavior During the COVID-19 Pandemic: An Integrated Social Cognition Model. Ann Behav Med. 2020; 54(10):713-727. PMC: 7543267. DOI: 10.1093/abm/kaaa073. View

5.
Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips T . A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat Hum Behav. 2021; 5(4):529-538. DOI: 10.1038/s41562-021-01079-8. View