Publicado
2025-03-05

Analysis of preventive behaviours related to covid-19 among colombian people

Análisis de los comportamientos preventivos relacionados con el covid-19 entre los colombianos

DOI: https://doi.org/10.15332/22563067.10707
Yenny Salamanca-Camargo https://orcid.org/0000-0002-0928-8907
Eduardo Aguirre-Dávila https://orcid.org/0000-0003-3292-5414
Manuel Moreno-Vásquez https://orcid.org/0000-0002-9813-6912
Sergio López-Castillo https://orcid.org/0000-0001-6296-8744

Resumen (es)

Este estudio tiene como objetivo analizar el papel de la conducta preventiva de las personas ante la percepción de riesgo en el control de la pandemia COVID-19. Método: Se realizó un análisis de correspondencias múltiples a partir de los datos recolectados en la encuesta PSY-Covid 2019, utilizando una muestra conformada por 914 residentes colombianos, con edades entre 16 y 79 años (x̄ = 32,3, DE =12,4, mujeres = 76,4% ), con nivel de formación universitario (96,6 %), procedente de zonas urbanas (92,5 %) y nivel de ingresos medio (63,8 %). Resultados: Los datos se agruparon en siete variables: vulnerabilidad al coronavirus, salud mental, norma social subjetiva, barreras/facilitadores de conductas preventivas, autoeficacia, expectativa de resultados e intención de conductas preventivas post-confinamiento. Los hallazgos muestran que las variables que más contribuyen a la primera dimensión y que permiten explicar la conducta preventiva son: expectativa de resultados, intención de conductas preventivas post-confinamiento y autoeficacia. En cuanto a la variable norma social subjetiva, si bien es la que más aporta a la segunda dimensión, no se asocia con las variables mencionadas anteriormente. Se recomienda que los estudios se realicen en poblaciones con diferentes niveles educativos y características culturales.

Palabras clave (es): COVID-19, salud mental, salud pública, conductas de riesgo, impacto psicológico

Resumen (en)

This study aims to analyse the role of preventive behaviour in response to the perception of risk in controlling the COVID-19 pandemic. Method: A multiple correspondence analysis was conducted using data collected from the PSY-Covid 2019 survey, which included a sample of 914 Colombian residents aged between 16 and 79 years (M = 32.3, SD = 12.4; women = 76.4%), all with a university education (96.6%), from urban areas (92.5%), and from a middle-income background (63.8%). Results: The data were grouped into seven variables: vulnerability to coronavirus, mental health, subjective social norm, barriers to/facilitators of preventive behaviours, self-efficacy, expectation of results, and intention of post-confinement preventive behaviours. The findings indicate that the variables contributing most to the first dimension, which explains preventive behaviour, are expectation of results, intention of post-confinement preventive behaviours, and self-efficacy. Regarding the subjective social norm variable, although it contributes most to the second dimension, it is not associated with the previously mentioned variables. It is recommended that studies be conducted in populations with varying educational levels and cultural characteristics.

Palabras clave (en): COVID-19, mental health, public health, risk behaviour, psychological impact
Yenny Salamanca-Camargo, Universidad Pedagógica y Tecnológica de Colombia

Grupo de Investigación Clínica y de la Salud, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia.   

Eduardo Aguirre-Dávila, Universidad Nacional de Colombia

Correspondencia:  Grupo de Investigación en Socialización y Crianza, Universidad Nacional de Colombia

Manuel Moreno-Vásquez, Universidad Nacional de Colombia

Universidad Nacional de Colombia.

Sergio López-Castillo, Universidad Nacional de Colombia

Universidad Nacional de Colombia.

Referencias

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and the Human Decision Process, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T DOI: https://doi.org/10.1016/0749-5978(91)90020-T

Alemany-Arrebola, I., Rojas-Ruiz, G., Granda-Vera, J. y Mingorance-Estrada, A. C. (2020). Influence of COVID-19 on the Perception of Academic Self-Efficacy, State Anxiety, and Trait Anxiety in College Students. Frontiers in Psychology, 11, 570017. http://dx.doi.org/10.3389/fpsyg.2020.570017 DOI: https://doi.org/10.3389/fpsyg.2020.570017

Álvarez, J. (2010). Modelos psicológicos del cambio: de los modelos centrados en el individuo a los modelos psicosociales en Psicología de la Salud. Psicología y Salud, 20 (1), 97-10. https://doi.org/10.25009/pys.v20i1.621

Alzahrani, L. y Panwar, K. (2021). Factors influencing students’ satisfaction with continuous use of learning management systems during the COVID‐19 pandemic: An empirical study. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10492-5 DOI: https://doi.org/10.1007/s10639-021-10492-5

Attema, A. E., L’Haridon, O., Raude, J., Seror, V. y The COCONEL Group. (2021). Beliefs and Risk Perceptions About COVID-19: Evidence from Two Successive French Representative Surveys During Lockdown. Frontiers in Psychology, 12, 619145. https://doi.org/10.3389/fpsyg.2021.619145 DOI: https://doi.org/10.3389/fpsyg.2021.619145

Aucejo, E. M., French, J., Ugalde, M. P. y Zafar, B. (2020). The impact of COVID-19 on student experiences and expectations: Evidence from a survey. Journal of Public Economics, 191, 104271. https://doi.org/10.1016/j.jpubeco.2020.104271 DOI: https://doi.org/10.1016/j.jpubeco.2020.104271

Ballester, A., Navarro, P., Llorens, R., Marzo, J.C. y Buunk, A. (2009). Autoeficacia y percepción de control en la prevención de la enfermedad cardiovascular. Universitas Psychologica, 9(2), 423-432. http://pepsic.bvsalud.org/scielo.php?script=sci_arttext&pid=S1657-92672009000200010&lng=pt&tlng=es. DOI: https://doi.org/10.11144/Javeriana.upsy9-2.apcp

Bandura, A. (1995). Exercise of Personal and Collective Efficacy. En A. Bandura (Ed.), Self-Efficacy in Changing Societies (pp. 1-45). Cambridge University Press. https://doi.org/10.1017/CBO9780511527692.003 DOI: https://doi.org/10.1017/CBO9780511527692.003

Barry, J. M. (2009). Pandemics: avoiding the mistakes of 1918. Nature, 459(7245), 324–325. https://doi.org/10.1038/459324a DOI: https://doi.org/10.1038/459324a

Baum, N. M., Jacobson, P. D. y Goold, S. D. (2009). “Listen to the People”: Public Deliberation About Social Distancing Measures in a Pandemic. American Journal of Bioethics, 9(11), 4-14. https://doi.org/10.1080/15265160903197531 DOI: https://doi.org/10.1080/15265160903197531

Bish, A. y Michie, S. (2010). Demographic and attitudinal determinants of protective behaviors during a pandemic: A review. British Journal of Health Psychology, 15(4), 797-824. https://doi.org/10.1348/135910710x485826. DOI: https://doi.org/10.1348/135910710X485826

Bogg, T. y Milad, E. (2020). Demographic, Personality, and Social Cognition Correlates of Coronavirus Guideline Adherence in a U.S. Sample. Health Psychol, 39(12),1026-1036. https://doi.org/10.1037/hea0000891 DOI: https://doi.org/10.1037/hea0000891

Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., McCaul, K. D. y Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2), 136-145. https://doi.org/10.1037/0278-6133.26.2.136 DOI: https://doi.org/10.1037/0278-6133.26.2.136

Buitrago, F., Ciurana, R., Fernández, M.C. y Tizón, J.L. (2020). Pandemia de la COVID-19 y salud mental: reflexiones iniciales desde la atención primaria de salud española. Revista Atención Primaria, 53 (1) 89-101. https://doi.org/10.1016/j.aprim.2020.06.006 DOI: https://doi.org/10.1016/j.aprim.2020.06.006

Cabanillas-Rojas, W (2020). Conducta y propagación del COVID-19 en el Perú: Marco de referencia para el diseño de intervenciones conductuales de salud pública. Universidad Católica Sedes Sapientiae. https://preprints.scielo.org/index.php/scielo/preprint/download/868/1203/1261 DOI: https://doi.org/10.1590/SciELOPreprints.868

Cabrera, G., Tascón, J. y Lucumí, D. (2001). Creencias en salud: historia, constructos y aportes al modelo. Revista de Salud Pública, 19(1), 91-101. https://www.redalyc.org/pdf/120/12019107.pdf DOI: https://doi.org/10.17533/udea.rfnsp.906

Carvalho, L. d. F., Pianowski, G. y Gonçalves, A. P. (2020). Personality differences and COVID-19: are extroversion and conscientiousness personality traits associated with engagement with containment measures? Trends in Psychiatry and Psychotherapy, 00(0), 1-6. https://doi.org/10.1590/2237-6089-2020-0029 DOI: https://doi.org/10.1590/2237-6089-2020-0029

Chuang y-C., Huang y-L., Tseng, K-C. yen, C-H. y Yang, L-H. (2015). Social capital and health-protective behavior intentions in an influenza pandemic. PloS one, 10(4), e0122970-e0122970. https://doi.org/10.1371/journal.pone.0122970 DOI: https://doi.org/10.1371/journal.pone.0122970

Cohen, J. (1992). A Power Primer. Psychological Bulletin, 112(1), 155-159. https://doi.org/10.1037/0033-2909.112.1.155 DOI: https://doi.org/10.1037//0033-2909.112.1.155

de Zwart, O., Veldhuijzen, I. K., Richardus, J. H. y Brug, J. (2010). Monitoring of risk perceptions and correlates of precautionary behaviour related to human avian influenza during 2006 -2007 in the Netherlands: results of seven consecutive surveys. BMC Infectious Diseases, 10, 114. https://doi.org/10.1186/1471-2334-10-114 DOI: https://doi.org/10.1186/1471-2334-10-114

Dryhurst, S., Schneider, C., Kerr, J., Freeman, L., Recchia, G., van der Bles, A., Spiegelhalter, D. y van der Linden, S. (2020). Percepciones de riesgo de COVID-19 en todo el mundo, Journal of Risk Research, 23, 7-8, 994-1006. https://doi.org/10.1080/13669877.2020.1758193 DOI: https://doi.org/10.1080/13669877.2020.1758193

Ehrenzweig y. (2007). Modelos de cognición social y adherencia terapéutica en pacientes con cáncer. Avances en Psicología Latinoamericana, 25(1), 7-21. https://revistas.urosario.edu.co/index.php/apl/article/view/554

Fanghella, V., Vu, T. y Mittone, L. (2021). Priming Prosocial Behavior and Expectations in Response to the COVID-19 Pandemic. Evidence from An Online Experiment. http://dx.doi.org/10.2139/ssrn.3792921 DOI: https://doi.org/10.2139/ssrn.3792921

Fishbein, M. y Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An introduction to theory and research. Addison-Wesley.

Girma, S., Agenagnew, L., Beressa, G., Tesfaye y. y Alenko, A. (2020). Risk perception and precautionary health behavior toward COVID-19 among health professionals working in selected public university hospitals in Ethiopia. PLoS ONE, 15(10). https://doi.org/10.1371/journal. pone.0241101 DOI: https://doi.org/10.1371/journal.pone.0241101

Goldberg, M. H., Gustafson, A., Maibach, E., Linden, S., Ballew, M. T., Bergquist, P., Kotcher, J. E., Marlon, J. R., Rosenthal, S. A. y Leiserowitz, A. (2020). Social norms motivate COVID-19 preventive behaviors. PsyArXiv Preprint. https://doi.org/10.31234/osf.io/9whp4 DOI: https://doi.org/10.31234/osf.io/9whp4

Greer, A. L. (2013). Can informal social distancing interventions minimize demand for antiviral treatment during a severe pandemic? BMC Public Health, 13(1), 1-9. https://doi.org/10.1186/1471-2458-13-669 DOI: https://doi.org/10.1186/1471-2458-13-669

Grembowski, D., Patrick, D., Diehr, P., Durham, M., Beresford, S., Kay, E. y Hecht, J. (1993). Self-efficacy and behavior among older adults. Journal of Health and Social Behavior, 34, 89-104. https://doi.org/10.2307/2137237 DOI: https://doi.org/10.2307/2137237

Hays, R. y DiMatteo, M. R. (1987). A Short-Form Measure of Loneliness. Journal of Personality Assessment, 51(1), 69-81. https://doi.org/10.1207/s15327752jpa5101_6 DOI: https://doi.org/10.1207/s15327752jpa5101_6

Houghton, C., Meskell, P., Delaney, H., Smalle, M., Glenton, C., Booth, A., Chan, X., Devane, D. y Biesty, L. M. (2020). Barriers and facilitators to healthcare workers' adherence with infection prevention and control (IPC) guidelines for respiratory infectious diseases: a rapid qualitative evidence synthesis. The Cochrane database of systematic reviews, 4(4), CD013582. https://doi.org/10.1002/14651858.CD013582 DOI: https://doi.org/10.1002/14651858.CD013582

Husson, F., Lê, S. y Pagès, J. (2017). Exploratory Multivariate Analysis by Example Using R. CRC Press. DOI: https://doi.org/10.1201/b21874

Lau, J. T. yang, X., Tsui, H., Pang, E. y Kim, J. H. (2004). SARS preventive and risk behaviours of Hong Kong air travellers. Epidemiology and infection, 132(4), 727-736. https://doi.org/10.1017/s0950268804002225 DOI: https://doi.org/10.1017/S0950268804002225

Lin, P., Wood, W. y Monterosso, J. (2016). Healthy eating habits protect against temptations. Appetite, 103, 432-440. https://doi.org/10.1016/j.appet.2015.11.011 DOI: https://doi.org/10.1016/j.appet.2015.11.011

Löwe, B., Wahl, I., Rose, M., Spitzer, C., Glaesmer, H., Wingenfeld, K., Schneider, A. y Brähler, E. (2010). A 4-item measure of depression and anxiety: Validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. Journal of Affective Disorders, 122(1-2), 86-95. https://doi.org/10.1016/j.jad.2009.06.019 DOI: https://doi.org/10.1016/j.jad.2009.06.019

Morales Rodríguez, M., Díaz Barajas, D. y Solis Gámez, L. A. (2023). Impact of affectivity and resilient skills on the mental health of adolescents: end of confinement. Religación, 8(36), e2301042. https://doi.org/10.46652/rgn.v8i36.1042 DOI: https://doi.org/10.46652/rgn.v8i36.1042

Ning, L., Niu, J., Bi, X. yang, Z., Liu1, Wu, Q., Ning, N. Liang, L., Liu, L., Hao y., Gao, L. y Liu, C. (2021). The impacts of knowledge, risk perception, emotion, and information on citizens’ protective behaviors during the outbreak of COVID-19: a cross-sectional study in China. BMC Public Health, 20, 1751. https://doi.org/10.1186/s12889-020-09892-y DOI: https://doi.org/10.1186/s12889-020-09892-y

Oraby, T., Thampi, V. y Bauch, C. T. (2014). The influence of social norms on the dynamics of vaccinating behaviour for paediatric infectious diseases. Proceedings. Biological sciences, 281(1780), 20133172. https://doi.org/10.1098/rspb.2013.3172 DOI: https://doi.org/10.1098/rspb.2013.3172

Organización Mundial de la Salud (2020). Consejos para la población acerca de los rumores sobre el nuevo coronavirus (2019 n- COV). https://www.who.int/es/emergencies/diseases/novel-coronavirus-2019/advice-for-public/myth-busters?gclid=EAIaIQobChMIu--Br9Sj6wIVVtyGCh2V1Aw_EAAYASAAEgJrSfD_BwE

Palomera-Chávez, A., Herrero, M., Tapias, N.E., Juárez-Rodríguez, P., Díaz, C.B., Hernández-Rivas, M.I., Abreu, M.D., Montenegro, L.L., Meda-Lara, R.M. y Moreno-Jiménez, B. (2021). Impacto psicológico de la pandemia COVID-19 en cinco países de Latinoamérica. Revista Latinoamericana de Psicología, 53, 83-93. https://doi.org/10.14349/rlp.2021.v53.10 DOI: https://doi.org/10.14349/rlp.2021.v53.10

Ran, L., Wang, W., Ai, M., Kong y., Chen, J. y Kuang, L. (2020). Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: A study of the general population in China at the peak of its epidemic. Social science & medicine (1982), 262, 113261. https://doi.org/10.1016/j.socscimed.2020.113261 DOI: https://doi.org/10.1016/j.socscimed.2020.113261

Rashid, H., Ridda, I., King, C., Begun, M., Tekin, H., Wood, J. G. y Booy, R. (2015). Evidence compendium and advice on social distancing and other related measures for response to an influenza pandemic. Paediatric Respiratory Reviews, 16(2), 119-126. https://doi.org/10.1016/j.prrv.2014.01.003 DOI: https://doi.org/10.1016/j.prrv.2014.01.003

Ritchie, L., Cervone, D. y Sharpe, B.T. (2021). Goals and Self-Efficacy Beliefs During the Initial COVID-19 Lockdown: A Mixed Methods Analysis. Frontiers in Psychology, 11, 559114. http://dx.doi.org/10.3389/fpsyg.2020.559114 DOI: https://doi.org/10.3389/fpsyg.2020.559114

Rodríguez, C., Padilla, G., Suazo, C. y Espinosa, D. (2022). Percepción de riesgo, salud mental e incertidumbre durante la pandemia por covid-19 entre jóvenes chilenos. Areté, 8(16), 159-177. https://doi.org/10.55560/ARETE.2022.16.8.8

Rosenstock, I. M. (2005). Why People Use Health Services. The Milbank Quarterly, 83(4). https://doi.org/10.1111/j.1468-0009.2005.00425.x DOI: https://doi.org/10.1111/j.1468-0009.2005.00425.x

Schneider, C. R., Dryhurst, S., Kerr, J., Freeman, A. L. J., Recchia, G., Spiegelhalter, D. y van der Linden, S. (2021). COVID-19 risk perception: a longitudinal analysis of its predictors and associations with health protective behaviours in the United Kingdom. Journal of Risk Research, 24(3-4), 294-313. https://doi.org/10.1080/13669877.2021.1890637 DOI: https://doi.org/10.1080/13669877.2021.1890637

Shapiro, D.H., Schwartz, C. E. y Astin, J. A. (1996). Controlarnos a nosotros mismos, controlar nuestro mundo: el papel de la psicología en la comprensión de las consecuencias positivas y negativas de buscar y obtener el control. Psicólogo estadounidense, 51 (12), 1213-1230. https://doi.org/10.1037/0003-066X.51.12.1213 DOI: https://doi.org/10.1037//0003-066X.51.12.1213

Shepperd, J. A., Waters, E., Weinstein, N. D. y Klein, W. M. (2015). A Primer on Unrealistic Optimism. Current directions in psychological science, 24(3), 232-237. https://pubmed.ncbi.nlm.nih.gov/26089606/ DOI: https://doi.org/10.1177/0963721414568341

Skinner, E. A. (1996). A guide to constructs of control. Journal of Personality and Social Psychology, 71(3), 549-570. https://doi.org/10.1037/0022-3514.71.3.549 DOI: https://doi.org/10.1037//0022-3514.71.3.549

Tang, C. y Wong, C. (2004). Factors influencing the wearing of facemasks to prevent the severe acute respiratory syndrome among adult Chinese in Hong Kong. Preventive Medicine, 39(6), 1187–1193. https://doi:10.1016/j.ypmed.2004.04.032 DOI: https://doi.org/10.1016/j.ypmed.2004.04.032

Universidad de Barcelona. (2020). Encuesta PSY- Covid-2019- Colombia. ASCOFAPSI. https://ascofapsi.org.co/pdf/boletin2020/BOLETIN_ESPECIAL%20ASCOFAPSI_FINAL%20(1).pdf

Uribe, J. I., Valadez, A., Molina, N. y Acosta, B. (2020). Percepción de riesgo, miedos a infectarse y enfermar de COVID-19 y variables predictoras de confinamiento social en una muestra mexicana. Revista Mexicana de Investigación en Psicología, 12(1), 35-44. https://mail.google.com/mail/u/0/#inbox/WhctKKXHGbTPDkMmXBQXrQwNJmKbQXXjPsgnsXpgZqvkzrfsCqpTwQbzGsKdDssBjTfrjkg?projector=1&messagePartId=0.1 DOI: https://doi.org/10.32870/rmip.v12i1.388

Urzúa, A., Vera-Villarroel, P., Caqueo-Urízar, A. y Polanco-Carrasco R. (2020). La Psicología en la prevención y manejo del COVID-19. Aportes desde la evidencia inicial. Terapia Psicológica, 38(1), 103-118. DOI: https://doi.org/10.4067/S0718-48082020000100103

Uscher-Pines, L., Schwartz, H. L., Ahmed, F., Zheteyeva y., Tamargo Leschitz, J., Pillemer, F. y Faherty, L. (2020). Feasibility of Social Distancing Practices in US Schools to Reduce Influenza Transmission During a Pandemic. Journal of Public Health Management and Practice, 26(4), 357. https://doi.org/10.1097/PHH.0000000000001174 DOI: https://doi.org/10.1097/PHH.0000000000001174

Vera-Villarroel, P., Livacic-Rojas, P., Fernández, A. M. y Oblitas, L. (2015). Principales modelos teóricos en psicología de la salud. En P. Vera-Villarroel & L. A. Oblitas (Dir). Manual de Escalas y Cuestionarios Iberoamericanos en Psicología Clínica y de la Salud. PSICOM editores.

West, R., Michie, S., Rubin, J. y Amlôt, R. (2020). Applying principles of behaviour change to reduce SARS-CoV-2 transmission. Nature Human Behaviour, 4, 45-459. https://doi.org/10.1038/s41562-020-0887-9 DOI: https://doi.org/10.1038/s41562-020-0887-9

Wise, T., Zbozinek, T., Michelini, G., Hagan, C. y Mobbs, D., 2020. Cambios en la percepción del riesgo y el comportamiento protector durante la primera semana de la pandemia de COVID-19 en los Estados Unidos. PsyArXiv Preprints. https://doi.org/10.31234/osf.io/dz428 DOI: https://doi.org/10.31234/osf.io/dz428

World Health Organization. (2020). Risk Communication and Community Engagement (RCCE) Action Plan Guidance COVID-19 Preparedness and Response. https://www.who.int/docs/default-source/coronaviruse/covid19-rcce-guidance-final-brand.pdf.

Zettler, I., Schild, C., Lilleholt, L. y Böhm, R. (2020). Individual differences in accepting personal restrictions to fight the COVID-19 pandemic: Results from a Danish adult sample. PsyArXiv Preprint. https://doi.org/10.31234/osf.io/pkm2a. DOI: https://doi.org/10.31234/osf.io/pkm2a

Zijlema, W. L., Stolk, R. P., Löwe, B., Rief, W., White, P. D. y Rosmalen, J. G. M. (2013). How to assess common somatic symptoms in large-scale studies: A systematic review of questionnaires. Journal of Psychosomatic Research, 74(6), 459-468. https://doi.org/10.1016/j.jpsychores.2013.03.093 DOI: https://doi.org/10.1016/j.jpsychores.2013.03.093

Cómo citar

Salamanca-Camargo, Y., Aguirre-Dávila, E., Moreno-Vásquez, M., & López-Castillo, S. (2025). Análisis de los comportamientos preventivos relacionados con el covid-19 entre los colombianos. Diversitas, 20(2), 15-28. https://doi.org/10.15332/22563067.10707