Modelling youth pregnancy in continental Portugal through geographically weighted regression

Research output: Contribution to journalArticle

6 Downloads (Pure)

Abstract

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.

Original languageEnglish
Article number680
Pages (from-to)128-138
Number of pages11
JournalGeospatial Health
Volume14
Issue number1
DOIs
Publication statusPublished - 14 May 2019

Fingerprint

Portugal
pregnancy
regression
Pregnancy
modeling
social security
Unemployment
Social Security
unemployment rate
amenity
Pregnancy Rate
unemployment
social problem
coast
Social Problems
Spatial Regression
youth
economic impact
Developed Countries
school

Keywords

  • Youth pregnancy
  • Spatial modelling
  • Geographically weighted regression
  • Non-stationarity
  • Geographical Information Systems (GIS)
  • Portugal

Cite this

@article{29a74190617649c0b5748b19f814087f,
title = "Modelling youth pregnancy in continental Portugal through geographically weighted regression",
abstract = "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.",
keywords = "Youth pregnancy, Spatial modelling, Geographically weighted regression, Non-stationarity, Geographical Information Systems (GIS), Portugal",
author = "Jo{\~a}o David and Pedro Cabral",
note = "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",
year = "2019",
month = "5",
day = "14",
doi = "10.4081/gh.2019.680",
language = "English",
volume = "14",
pages = "128--138",
journal = "Geospatial Health",
issn = "1827-1987",
publisher = "PAGEpress",
number = "1",

}

Modelling youth pregnancy in continental Portugal through geographically weighted regression. / David, João; Cabral, Pedro.

In: Geospatial Health, Vol. 14, No. 1, 680, 14.05.2019, p. 128-138.

Research output: Contribution to journalArticle

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

VL - 14

SP - 128

EP - 138

JO - Geospatial Health

JF - Geospatial Health

SN - 1827-1987

IS - 1

M1 - 680

ER -