Abstract
Understanding the distribution of women's health in contexts of inequality is crucial for the definition of equitable strategies aimed to improve female's well-being. Among the wide set of indicators of women's health, self-perception of health and preventive practices for breast and cervical cancers are increasingly considered as key context-sensitive indicators. Given the structural social inequalities that characterize Argentina, considerable spatial and social disparities in the distribution of these three key dimensions of women's health may exist. This work aims to describe the distribution of women's self-perception of health and preventive practices for breast and cervical cancers and to analyze the socio-spatial inequalities underlying its configuration in Argentina in the years 2005, 2009 and 2013. Data on self-perception of health, mammography and Pap tests came from the 2005, 2009 and 2013 National Surveys of Risk Factors of Argentina (“Encuesta Nacional de Factores de Riesgo”), which has a cross-sectional probabilistic multistage sampling design. According to the available data, the following indicators were considered: self-perception of health as fair or poor, mammography in the last 2 years in women aged 50–70 years, and Pap tests in the last 2 years in women aged 25–65 years. Data regarding the following social indicators came from the 2010 National Census of Argentina: proportion of households with unsatisfied basic needs—UBN, proportion of population without health coverage, proportion of women aged 25 or over who are currently studying or had completed university studies, and urban population (proportion of residents in localities with more than 2,000 inhabitants). An exploratory analysis was performed in order to characterize the distribution of self-perception of health, mammography and Pap tests by the selected social indicators. For each indicator and year, choropleth maps at the provincial level were constructed. Complementarily, a set of box plots showing the distribution of main descriptive statistics were included. The results indicated that the spatial distribution of self-perception of health, mammograms and Pap tests follows a clear social gradient in Argentina. The provinces with higher proportion of poor households and of population without health coverage, as well as those with lower proportion of urban population and with lower percentage of population at the university education level are the most disadvantaged. Overall, stronger social patterning was found for both self-perception of health as fair or poor and for mammography practice by the proportion of households with UBN, proportion of population without health coverage, and of population with university studies. Less clear gradients were evidenced across the urbanization indicator. These results suggest that improving women’s self-perception of health, mammograms and Pap test in Argentina necessarily requires strategies to reduce social inequalities. Policies and programs to improve women’s health should include social and gender equity criteria.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alazraqui M, Diez AV, Fleischer N, Spinelli H (2009) Salud auto-referida y desigualdades sociales, ciudad de Buenos Aires, Argentina, 2005. Cad Saude Publica 25:1990–2000
Arrossi S, Ramos S, Paolino M, Sankaranarayanan R (2008) Social inequality in Pap smear coverage: identifying under-users of cervical cancer screening in Argentina. Reprod Health Matters 16(32):50–58
Blanco S, Andisco D, Jiménez P, Luciani S (2019) Calidad de la mamografía y tamizaje del cáncer de mama en Argentina. Rev Panam Salud Publica 43:e63. https://doi.org/10.26633/RPSP.2019.63
Cabeza E, Esteva M, Pujol A, Thomas V, Sánchez-Contador C (2007) Social disparities in breast and cervical cancer preventive practices. Eur J Cancer Prev 16(4):372–379
Caicedo B, Fernández DB (2015) Salud autorreferida: influencia de la pobreza y la desigualdad del área de residencia. Gac Sanit 29(2):97–104
Castillo-Salgado C (2002) Medición de las desigualdades de salud. Rev Panam SaludPública 12:371–372
Denny L, de Sanjose S, Mutebi M, Anderson BO, Kim J, Jeronimo J, Herrero R, Yeates K, Ginsburg O, Sankaranarayanan R (2017) Interventions to close the divide for women with breast and cervical cancer between low-income and middle-income countries and high-income countries. Lancet. 389(10071):861–870. https://doi.org/10.1016/S0140-6736(16)31795-0. 2017 Feb 25; Epub 2016 Nov 1. PMID: 27814963
De Salvo KB, Bloser N, Reynolds K, He J, Muntner P (2006) Mortality prediction with a single general self-rated health question: a meta-analysis. J Gen Intern Med 21(3):267–275
Forlín DC, Wall ML, Silveira JT, Chaves AC, Souza SR (2011) Government programs about breast cancer control in women: update. J Nurs 5(10):2559–2565
Ginsburg O, Bray F, Coleman MP, Vanderpuye V, Eniu A, Kotha SR, Sarker M, Huong TT, Allemani C, Dvaladze A, Gralow J (2017) The global burden of women’s cancers: a grand challenge in global health. Lancet 389(10071):847–860
Instituto Nacional de Estadística y Censos (INDEC) (2005) Primera Encuesta Nacional de Factores de Riesgo [en línea]. Ciudad Autónoma de Buenos Aires: INDEC. [consulta: 10 de julio de 2019]. Disponible en: https://www.indec.gob.ar/indec/web/Institucional-Indec-BasesDeDatos-2
Instituto Nacional de Estadística y Censos (INDEC) (2009) Segunda Encuesta Nacional de Factores de Riesgo [en línea]. Ciudad Autónoma de Buenos Aires: INDEC. [consulta: 10 de julio de 2019]. Disponible en: https://www.indec.gob.ar/indec/web/Institucional-Indec-BasesDeDatos-2
Instituto Nacional de Estadística y Censos (INDEC) (2013) Tercera Encuesta Nacional de Factores de Riesgo [en línea]. Ciudad Autónoma de Buenos Aires: INDEC. [consulta: 10 de julio de 2019]. Disponible en: https://www.indec.gob.ar/indec/web/Institucional-Indec-BasesDeDatos-2
Instituto Nacional de Estadísticas y Censos (INDEC) (2010) Censo Nacional de Población, Hogares y Viviendas 2010 [en línea]. Ciudad Autónoma de Buenos Aires: INDEC. [consulta: 1 de julio de 2019]. Disponible en: https://www.indec.gob.ar/indec/web/Institucional-Indec-BasesDeDatos-6
International Agency for Research in Cancer (IARC) & World Health Organization (2019) The Global Cancer Observatory. Disponible en: https://gco.iarc.fr/
Jylhä M (2009) What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med 69(3):307–316
Knaul FM, Nigenda G, Lozano R, Arreola-Ornelas H, Langer A, Frenk J (2008) Breast cancer in Mexico: a pressing priority. Reprod Health Matters 16(32):113–123
Knaul FM, Wong R, Arreola-Ornelas H, Méndez O, Bitran R, Campino AC, Florez CE, Giedion U, Maceira D, Rathe M, Valdivia M (2011) Household catastrophic health expenditures: a comparative analysis of twelve Latin American and Caribbean Countries. Salud Pública De México 53:85–95
Langer A, Meleis A, Knaul FM, Atun R, Aran M, Arreola-Ornelas H, Bhutta ZA, Binagwaho A, Bonita R, Caglia JM, Claeson M (2015) Women and health: the key for sustainable development. Lancet 386(9999):1165–1210
Lence JJ, Camacho R (2006) Cáncer y transición demográfica en América Latina y el Caribe. Revista Cubana De Salud Pública 32(3):1–14
Lozano- R, Gómez- H, Lewis S, Torres-Sánchez L, López L (2009) Tendencias del cáncer de mama en América Latina y el Caribe. Salud Pública De México 51:147–156
Marmot M, Bell R (2016) Social inequalities in health: a proper concern of epidemiology. Ann Epidemiol 26(4):238–240
May M, Lawlor DA, Brindle P, Patel R, Ebrahim S (2006) Cardiovascular disease risk assessment in older women: can we improve on Framingham? British Women’s Heart and Health prospective cohort study. Heart 92(10):1396–1401
Moor I, Spallek J, Richter M (2017) Explaining socioeconomic inequalities in self-rated health: a systematic review of the relative contribution of material, psychosocial and behavioural factors. J Epidemiol Community Health 71(6):565–575
Murillo R, Almonte M, Pereira A, Ferrer E, Gamboa OA, Jerónimo J, Lazcano E (2008) Cervical cancer screening programs in Latin America and the Caribbean. Vaccine 26:37–48
Paolino M, Sankaranarayanan R, Arrossi S (2013) Determinantes sociales del abandono del diagnóstico y el tratamiento de mujeres con Papanicolaou anormal en Buenos Aires, Argentina. Rev Panam Salud Publica 34:437–445
Parikh S, Brennan P, Boffetta P (2003) Meta-analysis of social inequality and the risk of cervical cancer. Int J Cancer 105(5):687–691
Sacchi M, Hausberger M, Pereyra A (2007) Percepción del proceso salud-enfermedad-atención y aspectos que influyen en la baja utilización del Sistema de Salud, en familias pobres de la ciudad de Salta. Salud Colectiva 3:271–283
Schwartzmann L (2003) Calidad de vida relacionada con la salud: aspectos conceptuales. Cienc Enferm 9:9–21
Serral G, Borrell C, Puigpinós R (2018) Desigualdades socioeconómicas en el control mamográfico en mujeres españolas de 45 a 69 años de edad. Gac Sanit 32:61–67
Shibuya K, Hashimoto H, Yano E (2002) Individual income, income distribution, and self-rated health in Japan: cross sectional analysis of nationally representative sample. BMJ 324(7328):16–19
Soerjomataram I, Lortet-Tieulent J, Parkin DM, Ferlay J, Mathers C, Forman D, Bray F (2012) Global burden of cancer in 2008: a systematic analysis of disability-adjusted life-years in 12 world regions. Lancet 380(9856):1840–1850
Stuver SO, Zhu J, Simchowitz B, Hassett MJ, Shulman LN, Weingart SN (2011) Identifying women at risk of delayed breast cancer diagnosis. Jt Comm J Qual Patient Saf 37(12):568–568
Undén AL, Elofsson S, Andréasson A, Hillered E, Eriksson I, Brismar K (2008) Gender differences in self-rated health, quality of life, quality of care, and metabolic control in patients with diabetes. Gend Med 5(2):162–180
Wild CP (2019) Social inequalities and cancer: the imperative to act. In: Vaccarella S, Lortet-Tieulent J, Saracci R, Conway DI, Straif K, Wild CP (eds) Reducing social inequalities in cancer: evidence and priorities for research. International Agency for Research on Cancer, Lyon, France, pp 30–39
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tumas, N. (2022). The Spatial Distribution of Women’s Health. In: Celemin, J.P., Velázquez, G. (eds) Inequities and Quality of Life in Argentina. The Latin American Studies Book Series. Springer, Cham. https://doi.org/10.1007/978-3-030-94411-7_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-94411-7_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-94410-0
Online ISBN: 978-3-030-94411-7
eBook Packages: Social SciencesSocial Sciences (R0)
