Mortality due to acquired immunodeficiency syndrome and associated social factors: a spatial analysis.

OBJECTIVE To analyze the spatial pattern of AIDS mortality and social factors associated with its occurrence. METHODS An ecological study that considered 955 AIDS deaths of residents in Piauí, reported in the Mortality Information System (MIS) from 2007 to 2015. Non-spatial and spatial regression models were used to identify social determinants of AIDS mortality, with a significance of 5%. RESULTS The predictors of AIDS mortality were illiteracy rate in males (p = 0.020), proportion of households with water supply (p = 0.015), percentage of people in households with inadequate walls (p = 0.022), percentage of people in households vulnerable to poverty and in whom no one has completed primary education (p = 0.000) and percentage of people in households vulnerable to poverty and dependent on the elderly (p = 0.009). CONCLUSION Social indicators related to education, job and income generation and housing were associated with AIDS mortality.

[1]  A. R. Pascom,et al.  Factors Associated With Early Virological Response in HIV-Infected Individuals Starting Antiretroviral Therapy in Brazil (2014–2015): Results From a Large HIV Surveillance Cohort , 2018, Journal of acquired immune deficiency syndromes.

[2]  E. Tenkorang,et al.  Revisiting the Housing–Health Relationship for HIV-Positive Persons: Qualitative Evidence From the Lower Manya Krobo District, Ghana , 2018, Qualitative health research.

[3]  D. Bradshaw,et al.  Mortality and socioeconomic status: the vicious cycle between poverty and ill health. , 2017, The Lancet. Global health.

[4]  S. Clark,et al.  Socioeconomic differences in mortality in the antiretroviral therapy era in Agincourt, rural South Africa, 2001–13: a population surveillance analysis , 2017, The Lancet. Global health.

[5]  D. Abreu,et al.  HIV/AIDS Mortality in Brazil, 2000-2015: Are there reasons for concern? , 2017, Revista brasileira de epidemiologia = Brazilian journal of epidemiology.

[6]  R. Medronho,et al.  Análise espacial da Tuberculose no Rio de Janeiro no período de 2005 a 2008 e fatores socioeconômicos associados utilizando microdado e modelos de regressão espaciais globais. , 2017 .

[7]  A. Laar,et al.  Housing and Health Outcomes of persons living with HIV/AIDS (PLWHAs) in the Lower Manya Krobo District, Ghana , 2017, Journal of health care for the poor and underserved.

[8]  E. Gir,et al.  Adherence to antiretroviral therapy by people living with HIV/AIDS in a municipality of São Paulo. , 2017, Revista gaucha de enfermagem.

[9]  R. Medronho,et al.  Spatial analysis of Tuberculosis in Rio de Janeiro in the period from 2005 to 2008 and associated socioeconomic factors using micro data and global spatial regression models. , 2017, Ciencia & saude coletiva.

[10]  S. Watkins,et al.  Men with Money and the “Vulnerable Women” Client Category in an AIDS Epidemic , 2016 .

[11]  J. Rehm,et al.  Socio‐economic differences in HIV/AIDS mortality in South Africa , 2016, Tropical medicine & international health : TM & IH.

[12]  T. Kawada.  Anxiety and Depression in Female Patients With Type 2 Diabetes. , 2016, American journal of public health.

[13]  Michael G. Wilson,et al.  Housing Status, Medical Care, and Health Outcomes Among People Living With HIV/AIDS: A Systematic Review. , 2016, American journal of public health.

[14]  P. Garcia.  Abordagens espaciais na saúde pública , 2015 .

[15]  D. Haile,et al.  Social determinants of HIV infection, hotspot areas and subpopulation groups in Ethiopia: evidence from the National Demographic and Health Survey in 2011 , 2015, BMJ Open.

[16]  Inês Dourado,et al.  Factors associated with non-adherence to antiretroviral therapy in adults with AIDS in the first six months of treatment in Salvador, Bahia State, Brazil. , 2015, Cadernos de saude publica.

[17]  Inês Dourado,et al.  Factors associated with non-adherence to antiretroviral therapy in adults with AIDS in the first six months of treatment in Salvador, Bahia State, Brazil. , 2015, Cadernos de saude publica.

[18]  L. Poston,et al.  Prevalence and predictors of alcohol use during pregnancy: findings from international multicentre cohort studies , 2015, BMJ Open.

[19]  Elucir Gir,et al.  Calidad de vida de hombres con Sida y el modelo de la determinación social de la salud , 2015 .

[20]  A. Berhan,et al.  A Meta-Analysis of Risky Sexual Behaviour among Male Youth in Developing Countries , 2015, AIDS research and treatment.

[21]  J. Stein,et al.  Social determinants of health predict state incidence of HIV and AIDS: a short report , 2015, AIDS care.

[22]  Selim Jahan,et al.  Human development report 2015: work for human development , 2015 .

[23]  P. Byass,et al.  Determinants of the risk of dying of HIV/AIDS in a rural South African community over the period of the decentralised roll-out of antiretroviral therapy: a longitudinal study , 2014, Global health action.

[24]  V. Tavares,et al.  Interfaces entre a renda dos idosos aposentados rurais e o contexto familiar , 2011 .

[25]  J. Parkhurst.  Understanding the correlations between wealth, poverty and human immunodeficiency virus infection in African countries. , 2010, Bulletin of the World Health Organization.

[26]  Diretoria De Geociências,et al.  MINISTÉRIO DE PLANEJAMENTO, ORÇAMENTO E COORDENAÇÃO FUNDAÇÃO INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA- IBGE , 1997 .