TY - JOUR
T1 - Modelling youth pregnancy in continental Portugal through geographically weighted regression
AU - David, João
AU - Cabral, Pedro
N1 - David, J., & Cabral, P. (2019). Modelling youth pregnancy in continental Portugal through geographically weighted regression. Geospatial Health, 14(1), 128-138. [680]. https://doi.org/10.4081/gh.2019.680
PY - 2019/5/14
Y1 - 2019/5/14
N2 - Youth pregnancy, a global public health problem with important social, educational and economic impact, has mostly been studied in the least developed countries. However, this condition also affects the industrialized countries. This article presents a youth pregnancy study at the municipality level in continental Portugal based on geographically weighted regression. The results indicate that youth pregnancy rates can be explained by several variables: i) proportion (%) of social security beneficiaries; ii) number of households without amenities; iii) the rate of those prematurely leaving school; iv) the unemployment rates of youths and females, ceteris paribus. In addition, it was found that the beneficiaries of social security had a higher impact on youth pregnancy in the southern part of the country, and in the Centre too; that households without amenities had a higher impact along the central coast and in the South; that rates of those leaving school prematurely had a higher influence in the North and the Interior than in the rest of the country; and that youth and female unemployment rates were more widespread in the Centre, particularly along the coast. Overall, the model identified a strong association of explanatory variables with youth pregnancy rates in the country as a whole, except in the Porto metropolitan area. These findings may help health planners to define policies to mitigate this important social problem.
AB - Youth pregnancy, a global public health problem with important social, educational and economic impact, has mostly been studied in the least developed countries. However, this condition also affects the industrialized countries. This article presents a youth pregnancy study at the municipality level in continental Portugal based on geographically weighted regression. The results indicate that youth pregnancy rates can be explained by several variables: i) proportion (%) of social security beneficiaries; ii) number of households without amenities; iii) the rate of those prematurely leaving school; iv) the unemployment rates of youths and females, ceteris paribus. In addition, it was found that the beneficiaries of social security had a higher impact on youth pregnancy in the southern part of the country, and in the Centre too; that households without amenities had a higher impact along the central coast and in the South; that rates of those leaving school prematurely had a higher influence in the North and the Interior than in the rest of the country; and that youth and female unemployment rates were more widespread in the Centre, particularly along the coast. Overall, the model identified a strong association of explanatory variables with youth pregnancy rates in the country as a whole, except in the Porto metropolitan area. These findings may help health planners to define policies to mitigate this important social problem.
KW - Youth pregnancy
KW - Spatial modelling
KW - Geographically weighted regression
KW - Non-stationarity
KW - Geographical Information Systems (GIS)
KW - Portugal
UR - http://www.scopus.com/inward/record.url?scp=85066851230&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000467821900015
U2 - 10.4081/gh.2019.680
DO - 10.4081/gh.2019.680
M3 - Article
C2 - 31099523
AN - SCOPUS:85066851230
SN - 1827-1987
VL - 14
SP - 128
EP - 138
JO - Geospatial Health
JF - Geospatial Health
IS - 1
M1 - 680
ER -