ASSOCIATION OF EDUCATION AND HOUSING QUALITY WITH PUBLIC HEALTH EVENTS OF NATIONAL SIGNIFICANCE IN EIGHT MUNICIPALITIES OF CALDAS - COLOMBIA
DOI:
https://doi.org/10.29121/ijetmr.v8.i10.2021.1031Keywords:
Public Health, Housing, Education.Abstract
A questionnaire called “Family sheet” was created to collect information about the population of the Department of Caldas – Colombia.
Method: Analytical cross-sectional study using information from these questionnaires and the Colombian National System of Public Health Surveillance
Results: A total of 1735 public health events of national significance were found. The most common levels of education were “secondary education” and “Pre-school or primary education”. Most of the dwellings had “safe and adequate water supply”, “sanitary disposal of excreta”, adequate “structural features and furnishing”, and “appropriate “lighting”. Their “disposal of solid wastes, and personal and domestic hygiene” was fair and they did not have “indoor air pollution” or “Overcrowding”. Statistically significant associations were found of some levels of education with chickenpox, zika virus disease, foodborne diseases, external causes of injuries and fluoride exposure. They were also identified between “safe and adequate water supply” and/or “sanitary disposal of excreta” and dengue, chikungunya y leishmaniasis; “structural features and furnishing” and fluoride exposure, and “Overcrowding” and Violence against women, domestic and sexual violence/gender-based violence. However, the predictive value of these variables was weak.
Conclusions: The distribution of studied variables was similar to previous studies and some statistically significant associations were found; however, their predictive value was weak.
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References
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[2] Álvarez LS. Los determinantes sociales de la salud: más allá de los factores de riesgo. Rev. Gerenc. Polit. Salud, Bogotá (Colombia) 2009;8(17):69-79.
[3] Colombia MdlPSd. Decreto Número 3518 de 2006. Sistema de vigilancia en salud pública. In; 2006. p. 1 – 17.
[4] Ministerio de la Protección Social UDA, Facultad Nacional De Salud Pública. Análisis de la Situación de Salud en Colombia, 2002-2007. Tomo VI: Análisis de desigualdades e inequidades en salud. In. Bogotá; 2010. p. 1 - 214.
[5] Londoño C, Rendón L, Pineda M. Adaptación de la cartilla para el diligenciamiento de la ficha familiar. Manizales: Dirección Territorial de Salud de Caldas; 2014 Octubre.
[6] Pineda IJ. Datos de Población Digitada a Febrero 19 de 2017. In: Gonzalez R, editor. Manizales: Observatorio Social de Caldas; 2017.
[7] Nacional MdE. Sistema educativo colombiano. In. Bogotá DC: Ministerio de Educación Nacional; n.d.
[8] OMS. Principios de higiene de la vivienda. In. Ginebra; 1990. p. 44.
[9] INS. Vigilancia Rutinaria Departamental 2015. In: Dirección de Vigilancia y Análisis del Riesgo en Salud Pública; 2015.
[10] INS. Vigilancia Rutinaria Departamental a semana 52 2016. In: Dirección de Vigilancia y Análisis del Riesgo en Salud Pública; 2016.
[11] OECD. Education at a Glance 2018: OECD Indicators. Paris: OECD Publishing; 2018.)
[12] DANE. Censo General 2005. Bogotá, Colombia; 2005 2005.
[13] Profamilia. Encuesta Nacional de Demografía y Salud ENDS 2015. Bogotá; 2015
[14] Social MdSyP. Informe nacional de calidad del agua para consumo humano INCA 2016. Bogotá; 2016.
[15] WHO/UNICEF. Progress on Drinking Water and Sanitation – 2015 update and MDG assessment. United States of America; 2015.
[16] DANE. Encuesta Nacional de Calidad de Vida - ECV 2016. Anexo B. Cuadros de Salida de la Encuesta de Calidad de Vida 2016. Bogotá; 2017.
[17] Borg I. Housing deprivation in Europe. On the role of rental tenure types [Masteruppsatsisociologi]. Stockholm: Stockholmsuniversitet; 2012.
[18] WHO. WHO indoor air quality guidelines: household fuel combustion. Geneva, Switzerland; 2014.
[19] EUROSTAT. Quality of life in Europe — facts and views. Luxembourg; 2015.
[20] Inmunoprevenibles E. Protocolo de Vigilancia en Salud Pública: Varicela (Versión 0,1): Instituto Nacional de Salud, Grupo de Enfermedades Transmisibles; 2014.
[21] Nardone A, de Ory F, Carton M, Cohen D, van Damme P, Davidkin I, et al. The comparative sero-epidemiology of varicella zoster virus in 11 countries in the European region. Vaccine 2007;25(45):7866-72.
[22] Idrovo A, Albavera-Hernández C, Rodríguez-Hernández J. Social epidemiology of a large outbreak of chickenpox in the Colombian sugar cane producer region: a set theory-based analysis. Cad. SaúdePública 2011;27(7):1393-402.
[23] Loureiro A, Feitosa S, Schwartz A, Fonseca A, Hage E, Duarte E, et al. Zika Vírus: perfil epidemiológico em mulheres. Brasília: Secretaria de Vigilância em Saúde - Ministério da Saúde - Brasil; 2016.
[24] Tolosa N, Pinilla A. Protocolo de Vigilancia en Salud Pública: Enfermedad por virus Zika (Versión 0,2). In: Instituto Nacional de Salud, Equipo Vigilancia ETV-Zoonosis; 2017. p. 1 - 22.
[25] OMS. Informe de la OMS señala que los niños menores de 5 años representan casi un tercio de las muertes por enfermedades de transmisión alimentaria. In. Ginebra; 2015.
[26] Newman K, Leon JS, Rebolledo P, Scallan E. The impact of socioeconomic status on foodborne illness in high income countries: A systematic review. Epidemiol Infect. 2015;143(12):2473–85
[27] Kalediene R, Starkuviene S, Petrauskiene J. Social dimensions of mortality from external causes in Lithuania: do education and place of residence matter? SozPraventiv Med 2006;51:232-9.
[28] Sami A, Moafian G, Najafi A, Aghabeigi M, Yamini N, Heydari S, et al. Educational level and age as contributing factors to road traffic accidents. Chin J Traumatol 2013;16(5):281-5.
[29] Borrell C, Plasència A, Huisman M, Costa G, Kunst A, Andersen O, et al. Education level inequalities and transportation injury mortality in the middle aged and elderly in European settings. Injury Prevention 2005;11:138-42.
[30] Dalala K, Rahmanb F, Gifforda M, Rahman A. The magnitude of injury problems among child labourers in a rural community of Bangladesh: findings from an injury surveillance system. Int Health 2015;8(1):73-6.
[31] Fetuga B, Njokama F, Olowu A. Prevalence, types and demographic features of child labour among school children in Nigeria. BMC Int Health Hum Rights 2005;5(1):1-7.
[32] Javo I, Sørlie T. Psychosocial characteristics of young Norwegian women interested in liposuction, breast augmentation, rhinoplasty, and abdominoplasty: a population-based study. PlastReconstr Surg 2010;125(5):1536-43.
[33] Brinton L, Brown S, Colton T, Burich M, Lubin J. Characteristics of a population of women with breast implants compared with women seeking other types of plastic surgery. PlastReconstr Surg 2000;105:919-29.
[34] Hartmann S, Klaschka U. Interested consumers' awareness of harmful chemicals in everyday products. Environ Sci Eur 2017;29(1):19.
[35] Beltrán-Valladares P, Cocom-Tun H, Casanova-Rosado J, Vallejos-Sánchez A, Medina-Solís C, Maupomé G. Prevalencia de fluorosis dental y fuentes adicionales de exposición a fluoruro como factores de riesgo a fluorosis dental en escolares de Campeche, México. Rev. invest. clín 2005;57(4):532-9.
[36] Maupoméa G, Shulmanb J, Clarkc D, Levy M. Socio-Demographic Features and Fluoride Technologies Contributing to Higher Fluorosis Scores in Permanent Teeth of Canadian Children. Caries Res 2003;37:327-34.
[37] Lima L, Dantas-Neta N, Moura W, Moura M, Mantesso A, Moura L, et al. Impact of dental fluorosis on the quality of life of children and adolescents. Rev Odontol UNESP 2014;43(5):326-32.
[38] Pontigo-Loyola A, Medina-Solís C, Lara-Carrillo E, Patiño-Marín N, Escoffié-Ramirez M, Mendoza-Rodríguez M, et al. Impact of socio-demographic, socioeconomic, and water variables on dental fluorosis in adolescents growing up during the implementation of a fluoridated domestic salt program. Odontology 2014;102(1):105-15.
[39] OPS/OMS. Dengue: Guías para el diagnóstico, tratamiento, prevencion y control. La Paz, Bolivia; 2010.
[40] Ali S, Gugliemini O, Harber S, Harrison A, Houle L, Ivory J, et al. Environmental and Social Change Drive the Explosive Emergence of Zika Virus in the Americas. PLoSNegl Trop Dis 2017;11(2):1-16 y 129.
[41] PAHO. Preparedness and Response for Chikungunya Virus: Introduction in the Americas. Washington, DC; 2011.
[42] Oryan A, Akbari M. Worldwide risk factors in leishmaniasis. Asian Pac J Trop Med. 2016;9(10):925-932.
[43] Benavides J. Factores de riesgo psicosocial asociado a la violencia intrafamiliar en trabajadores de una empresa cementera. Una iniciativa de la empresaprivada. RevistaTesisPsicológica 2015;10(2):150-61.
[44] Olaiz G, Rojas R, Valdez R, Franco A, Palma O. Prevalencia de diferentes tipos de violencia en usuarias del sector salud en México. Salud Publica Mex 2006;48(supl 2):S232-8.
[45] Díaz R. Comportamiento de la violencia intrafamiliar en asistentes a consulta de psicología. Rev. Med. Electrón. Versión On-line 2010;32(2).
[46] Makinde O, Björkqvist K, Österman K. Overcrowding as a risk factor for domestic violence and antisocial behaviour among adolescents in Ejigbo, Lagos, Nigeria. Global Mental Health 2016;3(e16):1-9.
[47] Jewkes R, Levin J, Penn-Kekana L. Risk factors for domestic violence: findings from a South African cross-sectional study. Soc Sci Med 2002;55(9):1603-17.
[48] Szklo M, Nieto F. Epidemiología intermedia. Conceptos y Aplicaciones. Madrid: Ediciones Diaz de Santos SA; 2003.
Published
2021-10-26
How to Cite
Gonzalez, R., Bermont, G., & CárdenasAlzate, P. P. (2021). ASSOCIATION OF EDUCATION AND HOUSING QUALITY WITH PUBLIC HEALTH EVENTS OF NATIONAL SIGNIFICANCE IN EIGHT MUNICIPALITIES OF CALDAS - COLOMBIA. International Journal of Engineering Technologies and Management Research, 8(10), 58–71. https://doi.org/10.29121/ijetmr.v8.i10.2021.1031
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