El confinamiento por COVID-19: efectos de las condiciones materiales y el contexto social en la salud percibida durante el confinamiento
DOI:
https://doi.org/10.22325/fes/res.2022.130Palabras clave:
Salud percibida, confinamiento, COVID-19, determinantes sociales de la saludResumen
Los confinamientos para controlar la COVID-19 han demostrado ser efectivos desde la epidemiología, pero se sabe menos sobre cómo afectan al bienestar y a la percepción de salud de la población. Basado en la Encuesta Social 2020 para Andalucía (España), este documento tiene como objetivo averiguar cómo el encierro afecta a la salud autopercibida. Al contrario de lo que podría esperarse, la salud percibida de la población mejoró, pero no en todos los grupos sociales – empeoró en los grupos jóvenes y los de bajos ingresos -. La salud percibida se volvió más difícil de predecir con los determinantes clásicos de salud, sociodemográficos, socioeconómicos y residenciales, y los cambios relacionados con el confinamiento se volvieron más relevantes. El contacto con la enfermedad, los problemas económicos derivados del encierro y los cambios en las actividades diarias son factores explicativos clave, afectando especialmente al estado mental y emocional de la población.
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Brigidi, S., Mancinelli, F., Leyva-Moral, J. M., & Ausona-Bieto, M. (2021). Privilegios, género y “dignidad del tiempo” en mujeres-madres-trabajadoras en la época de la COVID-19. In A. del Campo Tejedor (Ed.), La vida cotidiana en tiempos de la COVID. Una Antropología de la pandemia (pp. 141-155). Madrid: Catarata.
Bobak, M., Pikhart, H., Rose, R., Hertzman, C., & Marmot, M. (2000). Socioeconomic factors, material inequalities, and perceived control in self-rated health: cross-sectional data from seven post-communist countries. Social Science & Medicine, 51(9), 1343-1350. https://doi.org/10.1016/S0277-9536(00)00096-4
Broche-Pérez, Y., Fernández-Fleites, Z., Fernández-Castillo, E., Jiménez-Puig, E., Vizcaíno-Escobar, A., Ferrer-Lozano, D. Martínez-Rodríguez, L. & Martín-González, R. (2021). Anxiety, Health Self-Perception, and Worry About the Resurgence of COVID-19 Predict Fear Reactions Among Genders in the Cuban Population. Frontiers in Global Women’s Health, 2, 1-9. https://doi.org/10.3389/fgwh.2021.634088
Carpiano, R. M. (2007). Neighborhood social capital and adult health: an empirical test of a Bourdieu-based model. Health & Place, 13(3), 639-655. https://doi.org/10.1016/j.healthplace.2006.09.001
Cheval, B., Sivaramakrishnan, H., Maltagliati, S., Fessler, L., Forestier, C., Sarrazin, P., Orsholits, D., Chalabaev, A., Sander, D., Ntoumanis, N. & Boisgontier, M. P. (2021). Relationships between changes in self-reported physical activity, sedentary behaviour and health during the coronavirus (COVID-19) pandemic in France and Switzerland. Journal of Sports Sciences, 39(6), 699-704. https://doi.org/10.1080/02640414.2020.1841396
Clair, A., Reeves, A., Loopstra, R., McKee, M., Dorling, D., & Stuckler, D. (2016). The impact of the housing crisis on self-reported health in Europe: multilevel longitudinal modelling of 27 EU countries. The European Journal of Public Health, 26(5), 788-793. https://doi.org/10.1093/eurpub/ckw071
Dahl, E., & Malmberg‐Heimonen, I. (2010). Social inequality and health: the role of social capital. Sociology of Health & Illness, 32(7), 1102-1119. https://doi.org/10.1111/j.1467-9566.2010.01270.x
Del Campo Tejedor, A. (Ed.). (2021). La vida cotidiana en tiempos de la COVID. Una Antropología de la pandemia. Madrid: Catarata.
Duque-Calvache, R., Torrado, J. M. & Mesa-Pedrazas, Á. (2021). Lockdown and Adaptation: residential mobility in Spain during the COVID-19 crisis. European Societies, 23(sup1), S759-S776. https://doi.org/10.1080/14616696.2020.1836386
Eder, S. J., Steyrl, D., Stefanczyk, M. M., Pieniak, M., Martínez-Molina, J., Pešout, O., Binter, J., Smela, P., Scharnowski, F. & Nicholson, A. A. (2021). Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study. PLoS ONE, 16(3), 1-16. https://doi.org/10.1371/journal.pone.0247997
Elran-Barak, R., & Mozeikov, M. (2020). One month into the reinforcement of social distancing due to the COVID-19 outbreak: Subjective health, health behaviors, and loneliness among people with chronic medical conditions. International Journal of Environmental Research and Public Health, 17(15), 1-16. https://doi.org/10.3390/ijerph17155403
Escobar, M., Fernández, E., & Bernardi, F. (2009). Análisis de datos con STATA. Madrid: Centro de Investigaciones Sociológicas.
Fiorenzato, E., Zabberoni, S., Costa, A., & Cona, G. (2021). Cognitive and mental health changes and their vulnerability factors related to COVID-19 lockdown in Italy. PLoS ONE, 16(1), 1-25. https://doi.org/10.1371/journal.pone.0246204
Fornell, B., Correa, M., López del Amo, M. P., & Martín, J. J. (2018). Influence of changes in the Spanish labor market during the economic crisis (2007–2011) on perceived health. Quality of Life Research, 27(8), 2095-2105. https://doi.org/10.1007/s11136-018-1824-5
Fountoulakis, K. N., Apostolidou, M. K., Atsiova, M. B., Filippidou, A. K., Florou, A. K., Gousiou, D. S., Katsara A.R., Mantzari, S. N., Padouva-Markoulaki, M., Papatriantafyllou, E. I., Sacharidi, P. I., Tonia, A. I., Tsagalidou, E. G., Zymara, V. P., Prezerakos, P. E., Koupidis, S. A., Fountoulakis, N. K., & Chrousos, G. P. (2021). Self-reported changes in anxiety, depression and suicidality during the COVID-19 lockdown in Greece. Journal of Affective Disorders, 279, 624-629. https://doi.org/10.1016/j.jad.2020.10.061
Idler, E. L., & Kasl, S. (1991). Health perceptions and survival: Do global evaluations of health status really predict mortality?. Journal of Gerontology, 46(2), S55-S65. https://doi.org/10.1093/geronj/46.2.S55
Idler, E. L., & Kasl, S. V. (1995). Self-ratings of health: do they also predict change in functional ability?. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 50(6), S344-S353. https://doi.org/10.1093/geronb/50B.6.S344
Idler, E. L., Kasl, S. V., & Lemke, J. H. (1990). Self-evaluated health and mortality among the elderly in New Haven, Connecticut, and Iowa and Washington counties, Iowa, 1982–1986. American Journal of Epidemiology, 131(1), 91-103. https://doi.org/10.1093/oxfordjournals.aje.a115489
Instituto de Estadística y Cartografía de Andalucía [IECA]. (2020). 2020 Social Survey on Habits and Living Conditions of the Andalusian Population During the State of Alarm [Database]. https://www.juntadeandalucia.es/institutodeestadisticaycartografia/encsocial/2020/
Instituto Nacional de Estadística [INE]. (2020). 2019 EU-SILC data for Spain [Database]. https://www.ine.es/dyngs/INEbase/es/operacion.htm?c=Estadistica_C&cid=1254736176807&menu=ultiDatos&idp=1254735976608
Jindrová, P., & Labudová, V. (2020). The impact of socio-economic and demographic determinants on self-perceived health. Economics and Management, 23(4), 68-88. https://doi.org/10.15240/tul/001/2020-4-005
Mao, Z., Chen, B., Wang, W., Kind, P., & Wang, P. (2021). Investigating the self-reported health status of domestic and overseas chinese populations during the COVID-19 pandemic. International Journal of Environmental Research and Public Health, 18(6), 1-10. https://doi.org/10.3390/ijerph18063043
Martínez-de-Quel, Ó., Suárez-Iglesias, D., López-Flores, M., & Pérez, C. A. (2021). Physical activity, dietary habits and sleep quality before and during COVID-19 lockdown: A longitudinal study. Appetite, 158, 105019. https://doi.org/10.1016/j.appet.2020.105019
Mesa-Pedrazas, Á., Duque-Calvache, R., & Torrado, J. M. (2021). Los confines del confinamiento. Prácticas y anhelos de una cotidianidad en cuarentena. In A. del Campo Tejedor (Ed.), La vida cotidiana en tiempos de la COVID. Una Antropología de la pandemia (pp. 49-70). Madrid: Catarata.
Niedzwiedz, C. L., Green, M. J., Benzeval, M., Campbell, D., Craig, P., Demou, E., Leyland, A., Pearce, A., Thompson, R., Whitley, E. & Katikireddi, S. V. (2021). Mental health and health behaviours before and during the initial phase of the COVID-19 lockdown: Longitudinal analyses of the UK Household Longitudinal Study. Journal of Epidemiology and Community Health, 75(3), 224-231. https://doi.org/10.1136/jech-2020-215060
Noël, C., Rodriguez-Loureiro, L., Vanroelen, C., & Gadeyne, S. (2021). Perceived Health Impact and Usage of Public Green Spaces in Brussels’ Metropolitan Area During the COVID-19 Epidemic. Frontiers in Sustainable Cities, 3, 1-15. https://doi.org/10.3389/frsc.2021.668443
Ohlbrecht, H., & Jellen, J. (2021) Unequal tensions: the effects of the coronavirus pandemic in light of subjective health and social inequality dimensions in Germany. European Societies, 23(sup1), S905-S922. https://doi.org/10.1080/14616696.2020.1852440
Olsen, K. M., & Dahl, S. Å. (2007). Health differences between European countries. Social Science and Medicine, 64(8), 1665-1678. https://doi.org/10.1016/j.socscimed.2006.11.031
Orgilés, M., Morales, A., Delvecchio, E., Francisco, R., Mazzeschi, C., Pedro, M., & Espada, J. P. (2021). Coping behaviors and psychological disturbances in youth affected by the COVID-19 health crisis. Frontiers in Psychology, 12, 845. https://doi.org/10.3389/fpsyg.2021.565657
Pieh, C., Budimir, S., & Probst, T. (2020). The effect of age, gender, income, work, and physical activity on mental health during coronavirus disease (COVID-19) lockdown in Austria. Journal of Psychosomatic Research, 136. https://doi.org/10.1016/j.jpsychores.2020.110186
Poortinga, W., Bird, N., Hallingberg, B., Phillips, R., & Williams, D. (2021). The role of perceived public and private green space in subjective health and wellbeing during and after the first peak of the COVID-19 outbreak. Landscape and Urban Planning, 211. https://doi.org/10.1016/j.landurbplan.2021.104092
Recchi, E., Ferragina, E., Helmeid, E., Pauly, S., Safi, M., Sauger, N., & Schradie, J. (2020). The “Eye of the Hurricane” Paradox: An Unexpected and Unequal Rise of Well-Being During the COVID-19 Lockdown in France. Research in Social Stratification and Mobility, 68. https://doi.org/10.1016/j.rssm.2020.100508
Rogers, D., & Power, E. (2020) ‘Housing policy and the COVID-19 pandemic: the importance of housing research during this health emergency’. International Journal of Housing Policy, 20(2), 177-183. https://doi.org/10.1080/19491247.2020.1756599
Ross, C. E., & Mirowsky, J. (1999). Refining the association between education and health: the effects of quantity, credential, and selectivity. Demography, 36(4), 445-460. https://doi.org/10.2307/2648083
Rossi, R., Socci, V., Talevi, D., Mensi, S., Niolu, C., Pacitti, F., Di Marco, A., Rossi, A., Siracusano, A., & Di Lorenzo, G. (2020). COVID-19 Pandemic and Lockdown Measures Impact on Mental Health Among the General Population in Italy. Frontiers in Psychiatry, 11, 7-12. https://doi.org/10.3389/fpsyt.2020.00790
Shields, M., & Shooshtari, S. (2001). Determinants of self-perceived health. Health reports, 13(1), 35-52.
Smith, L., Amlot, R., Lambert, H., Oliver, I., Robin, C., Yardley, L., & Rubin, G. J. (2020). Factors associated with self-reported anxiety, depression, and general health during the UK lockdown; a cross-sectional survey. MedRxiv, 1-29. https://doi.org/10.1101/2020.06.23.20137901
Szwarcwald, C. L., Damacena, G. N., De Azevedo Barros, M. B., Malta, D. C., De Souza Júnior, P. R. B., Azevedo, L. O., Machado, I. E., Guimaraes-Lima, M., Romero, D., Saar-Gomes, C., Oliveira-Werneck, A., Rodrigues-Pereira Da Silva, D., Gracie, R., & de Pina, M. de F. (2021). Factors affecting Brazilians’ self-rated health during the COVID-19 pandemic. Cadernos de Saude Publica, 37(3). https://doi.org/10.1590/0102-311X00182720
Woolf, S. H., Chapman, D. A., Sabo, R. T., & Zimmerman, E. B. (2021). Excess Deaths From COVID-19 and Other Causes in the US, March 1, 2020, to January 2, 2021. JAMA, 325(17), 1786–1789. https://doi.org/10.1001/jama.2021.5199
Williams, R., Jenkins, D. A., Ashcroft, D. M., Brown, B., Campbell, S., Carr, M. J., Cheraghisohi, S., Kapur, N., Thomas, O., Webb, R. T., & Peek, N. (2020). Diagnosis of physical and mental health conditions in primary care during the COVID-19 pandemic: a retrospective cohort study. The Lancet Public Health, 5(10), e543-e550.
Williams, R. (2012). Using the margins command to estimate and interpret adjusted predictions and marginal effects. The Stata Journal, 12(2), 308-331. https://doi.org/10.1177/1536867X1201200209
World Health Organization [WHO]. (2008). Closing the gap in a generation: health equity through action on the social determinants of health. Final Report of the Commission on Social Determinants of Health. Geneva: World Health Organization.
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