Large-scale societal factors and noncommunicable diseases: Urbanization, poverty and mortality spatial patterns in Argentina

被引:24
作者
Alejandra Pou, Sonia [1 ,5 ]
Tumas, Natalia [2 ]
Sanchez Soria, David [3 ]
Ortiz, Pablo [4 ]
del Pilar Diaz, Maria [1 ,5 ]
机构
[1] Univ Nacl Cordoba, CONICET, Fac Ciencias Med, Inst Invest Ciencias Salud INICSA, Ave Enrique Barros & Enfermera Gordillo, RA-5016 Cordoba, Argentina
[2] Univ Nacl Cordoba, CIECS, CONICET, Rondeau 467 Piso 1, RA-5000 Cordoba, Argentina
[3] Univ Nacl Cordoba, ADAMA, Asociac Ecuatoriana Estudios Poblac, Ave Velez Sarsfield 153 Barrio Ctr, RA-5000 Cordoba, Argentina
[4] Univ Nacl Cordoba, Fac Ciencias Econ, Dept Matemat & Estadist, Ave Valparaiso S-N, RA-5016 Cordoba, Argentina
[5] Univ Nacl Cordoba, Fac Ciencias Med, Estadist & Bioestadist, Escuela Nutr, Ave Enrique Barros S-N, RA-5016 Cordoba, Argentina
关键词
Spatial epidemiology; Cardiovascular diseases; Cancer; Poverty; Urbanization; Argentina; SOCIAL DETERMINANTS; DIETARY PATTERNS; CANCER; GLOSSARY; CITIES; HEALTH;
D O I
10.1016/j.apgeog.2017.06.022
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Introduction: In developing countries, the rapid increase in noncommunicable diseases burden has been accompanied by socio-demographic changes, such as rapid urbanization, with persistence of considerable socio-economic gaps between populations. In Argentina, cardiovascular diseases (CVD) and cancer are leading causes of death. The aim of this study was to identify geographic clustering of mortality rates related to both diseases in Argentina and to assess their association with two large-scale societal factors, urbanization and poverty contexts. Materials and methods: We performed an ecological study in Argentina (n = 525 counties), 2009-2011 period. Using spatial analysis techniques we identified and mapped spatial clusters of high and low values for age-standardized mortality rates (ASMR) of cancer or CVD and for selected urbanization and poverty indicators. We estimated incidence-rate ratios using two-level Poisson regression models, which accounted for rates distribution spatial variability. Results: Cancer and CVD mortality rates distribution were spatially dependent. Population growth showed an inverse association with ASMR from these causes, for both sexes. We detected an additive interaction of effects between urban scale and poverty level, being the "rural poverty" associated with an increasing risk of mortality by cancer (in both sexes) or by CVD (only men), compared to contexts with high urban scale and low poverty level. Counties with an intermediate urban scale seem to present the most favorable context, even when their socio-economic conditions are more unfavorable than those with higher urbanization levels. Conclusions: Geographical differences in urban and socioeconomic contextual conditions can explain spatial variation in NCD mortality burden in Argentina. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:32 / 40
页数:9
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