2023, Number 4
Next >>
Rev Salud Publica Nutr 2023; 22 (4)
Marginalization and life expectancy in the municipalities of Coahuila during the COVID-19 pandemic
Uribe-Salas FJ, Núñez-Medina G, Parra-Ávila J
Language: Spanish
References: 33
Page: 1-8
PDF size: 405.37 Kb.
ABSTRACT
Introduction: A health condition of great impact on life expectancy in different populations and countries has been the COVID-
19 pandemic.
Objective: To calculate life expectancy comparing 2019 with 2020 and analyzed its relationship with indicators
of the marginalization at the municipal level for the state of Coahuila in the context of COVID-19 pandemic.
Material and
method: Life expectancy was calculated using mortality data for 2019 and 2020 from the Ministry of Health and demographic
and marginalization indicators were obtained from the National Population Council. The Shapiro-Wilk test was applied to the
variables under study and those that has a normal distribution where analyzed with variance hypothesis test (ANOVA),
followed by the Bonferroni post-hoc test. Variables that where found to be significant in the ANOVA test where subjected to
a multiple regression to identify predictors. Kruskal-Wallis and Games Howell tests were performed with variables that did
not have a normal distribution.
Results: Variables that showed a positive and significant directionality were the percentage
of population greater than 5 000 inhabitants and the natural logarithm of the population size of the municipalities. This latter
variable was the only predictor of the loss in years of life expectancy.
Conclusion: The natural logarithm of population size
was the only predictor of the drop in years of life expectancy.
REFERENCES
Bancet, C. M., Sosa-Sánchez, I. A. Morir en tiempos deCovid-19 en México. (2022). Efectos de la pandemiaen las poblaciones indígenas. Sociológica México, 37(106), 263-282.http://sociologicamexico.azc.uam.mx/index.php/Sociologica/article/view/1681
Bartoll-Roca, X., Palència, L., Calvo, M. J., & Pérez, K.(2022). Trends and inequalities in (healthy) lifeexpectancy by neighbourhood during the COVID-19epidemic in Barcelona. Gaceta sanitaria, 37, 102267.https://doi.org/10.1016/j.gaceta.2022.102267
Camhaji, E. (19 de marzo del 2020). México confirma suprimera muerte por coronavirus y pone en marcha unplan de ayuda en desastres. Diario El País.https://elpais.com/sociedad/2020-03-19/mexicoconfirma-su-primera-muerte-por-coronavirus-y-poneen-marcha-un-plan-de-ayuda-en-desastres.html
Consejo Nacional de Población. (2016). Proyecciones depoblación de México y de las entidades federativas,2016-2050.https://datos.gob.mx/busca/dataset/proyecciones-dela-poblacion-de-mexico-y-de-las-entidadesfederativas-2016-2050
Consejo Nacional de Población. (2021). Índice demarginación por entidad federativa y municipio 2020.Nota técnico-metodológica.https://www.gob.mx/cms/uploads/attachment/file/634902/Nota_t_cnica_marginaci_n_2020.pdf
Chávez-Almazán, L. A., Díaz-González, L., & Rosales-Rivera, M. (2022). Socioeconomic determinants ofhealth and COVID-19 in Mexico. Determinantessocioeconómicos de salud y COVID-19 en México.Gaceta medica de Mexico, 158(1), 3–10.https://doi.org/10.24875/GMM.M22000633
García-Guerrero, V. M., & Beltrán-Sánchez, H. (2021).Heterogeneity in Excess Mortality and Its Impact onLoss of Life Expectancy due to COVID-19: Evidencefrom Mexico. Canadian studies in population, 48(2-3),165–200. https://doi.org/10.1007/s42650-021-00051-1
GBD 2015 Mortality and Causes of Death Collaborators.(2016). Global, regional, and national life expectancy,all-cause mortality, and cause-specific mortality for249 causes of death, 1980-2015: a systematic analysisfor the Global Burden of Disease Study 2015. Lancet(London, England), 388(10053), 1459–1544.https://doi.org/10.1016/S0140-6736(16)31012-1
Gobierno de México. (2021). Índices de marginación2020. Base de datos por municipio 2020.https://www.gob.mx/conapo/documentos/indices-demarginacion-2020-284372#:~:text=%C3%8Dndices%20de%20marginaci%C3%B3n%202020%20Conoce%20los%20%C3%ADndices%20de,de%20Poblaci%C3%B3n%20%7C%2004%20de%20octubre%20de%202021
Hair J., Black, W., Babin, B., Anderson, R., & Tatham, R.(2006). Multivariate Data Analysis. 6th ed. PrenticeHall.
Hyndman, M. R. J., Booth, H., Tickle, L., AndMaindonald, J. (2019). Package ‘demography’, v.1.22.https://cran.rproject.org/web/packages/demography/demography.pdf.
Islam, N., Jdanov, D. A., Shkolnikov, V. M., Khunti, K.,Kawachi, I., White, M., Lewington, S., & Lacey, B.(2021). Effects of covid-19 pandemic on lifeexpectancy and premature mortality in 2020: timeseries analysis in 37 countries. British Medical Journal(Clinical research ed.), 375, e066768.https://doi.org/10.1136/bmj-2021-066768
Lima, E. E. C., Vilela, E. A., Peralta, A., Rocha, M.,Queiroz, B. L., Gonzaga, M. R., Piscoya-Díaz, M.,Martinez-Folgar, K., García-Guerrero, V. M., & Freire,F. H. M. A. (2021). Investigating regional excessmortality during 2020 COVID-19 pandemic in selectedLatin American countries. Genus, 77(1), 30.https://doi.org/10.1186/s41118-021-00139-1
Lozano Ascencio, F., Ramírez García T. (2023).Desigualdad de la mortalidad por Covid-19 entre lapoblación hablante de lengua indígena de México. EnFernando Lozano Ascencio, M. Valdivia López, MA,Mendoza González, (Eds.), Pandemia y desigualdadessociales y económicas en México. (pp. 337-372),UNAM.
Marmot, M. Allen, J., Goldblatt, P., Herd, E., Morrison, J.(2020). Build back fairer: The Covid-19 Marmotreview. The pandemic, socioeconomic and heathinequalities in England. Institute of Health Inequalities.London: Institute of Health Equity.https://www.instituteofhealthequity.org/resourcesreports/build-back-fairer-the-covid-19-marmotreview/build-back-fairer-the-covid-19-marmotreview-executive-summary.pdf
Mendoza-González, M. F. (2020). Rezago social yletalidad en México en el contexto de la pandemia deenfermedad por coronavirus (COVID-19): unaaproximación desde la perspectiva de la salud colectivaen los ámbitos nacional, estatal y municipal. Notas dePoblación, 2020 (111), 133-153.
Millán-Guerrero, R. O., Caballero-Hoyos, R., & Monárrez-Espino, J. (2021). Poverty and survival from COVID-19 in Mexico. Journal of public health (Oxford,England), 43(3), 437–444.https://doi.org/10.1093/pubmed/fdaa228
Muñíz-Montero, I. Sánchez-García, A. Muñíz-Motero, C.Neri-Suárez, M. (2022). Impacto del Covid-19 en elnororiente del estado de Puebla, México: movilidad,letalidad, marginación, pobreza y afectación alturismo. FORHUM International Journal of SocialSciences and Humanities, 4(6), e22465.https://doi.org/10.35766/j.forhum.22465
Pagano, M., Gauvreau, K. (1993). Principles ofbiostatistics. Duxbury Press.
Palamim, C. V. C., Boschiero, M. N., Valencise, F. E., &Marson, F. A. L. (2022). Human Development IndexIs Associated with COVID-19 Case Fatality Rate inBrazil: An Ecological Study. International journal ofenvironmental research and public health, 19(9),5306. https://doi.org/10.3390/ijerph19095306
Rocklöv, J., & Sjödin, H. (2020). High population densitiescatalyse the spread of COVID-19. Journal of travelmedicine, 27(3), taaa038.https://doi.org/10.1093/jtm/taaa038
Secretaría de Salud. (31 de diciembre del 2020). Informetécnico diario Covid-19 México.https://www.gob.mx/cms/uploads/attachment/file/603816/Comunicado_Tecnico_Diario_COVID-19_2020.12.31.pdf
Secretaría de Salud. (2022). Defunciones. Datos abiertos.2019 y 2020.http://www.dgis.salud.gob.mx/contenidos/basesdedatos/da_defunciones_gobmx.html
Tammes, P. (2020). Social distancing, population density,and spread of COVID-19 in England: a longitudinalstudy. British Journal of General Practice Open, 4(3),bjgpopen20X101116.https://doi.org/10.3399/bjgpopen20X101116
Team R Core. (2016). R: A Language and Environment forStatistical Computing. Vienna: R Foundation forStatistical Computing.
Wang, H., Paulson K. R., Peace, S. A., Watson, S.,Comfort, H., et al. (2022). Estimating excess mortalitydue to the COVID-19 pandemic: a systematic analysisof COVID-19-related mortality, 2020-21. Lancet. 16,399(10334),1513-1536. doi: 10.1016/S0140-6736(21)02796-3.
Uribe-Salas F. J., Núñez-Medina G, Parra-Ávila J. (2023).Impacto del Covid-19 en la esperanza de vida en losmunicipios de los estados del noreste de México.CienciaUAT, 18(1), 25-40.
Valverde, G. R. & Valverde, B. R. (2022). Impacto delCOVID-19 por marginación y rezago social en elestado de Puebla, México. Regiones y DesarrolloSustentable, 22(43).http://coltlax.edu.mx/openj/index.php/ReyDS/article/view/243
World Health Organization (WHO). (30 de junio del2020a). Pneumonia of unknown cause – China. 2020Jan 30. https://www.who.int/csr/don/05-january-2020-pneumonia-of-unkown-cause-china/en/
World Health Organization. (13 de junio del 2020b).Covid-19: Cronología de la actuación de la OMS.https://www.who.int/es/news/item/27-04-2020-whotimeline---covid-19
World Health Organization. (13 de junio del 2020c). WHOstatement on novel coronavirus in Thailand.https://www.who.int/news-room/detail/13-01-2020-who-statement-on-novel-coronavirus-in-thailand
World Health Organization. (11 de marzo del 2020d).WHO Director-General’s opening remarks at themedia briefing on COVID-19 - 11 March 2020.https://www.who.int/dg/speeches/detail/who-directorgeneral-s-opening-remarks-at-the-media-briefing-oncovid-19---11-march-2020
World Health Organization. (22 de febrero del 2020e).Coronavirus disease 2019 (COVID-19) SituationReport – 40. https://www.who.int/docs/defaultsource/coronaviruse/situation-reports/20200229-sitrep-40-covid-19.pdf?sfvrsn=849d0665_2