TY - GEN
T1 - The relationships between depression spatial clusters and mental health planning in Catalonia (Spain)
AU - Rodero-Cosano, Maria Luisa
AU - Salinas-Perez, Jose Alberto
AU - Gonzalez-Caballero, Juan Luis
AU - Garcia-Alonso, Carlos R.
AU - Lagares-Franco, Carolina
AU - Salvador-Carulla, Luis
PY - 2014
Y1 - 2014
N2 - This study aims to analyse potential risk factors which could influence the occurrence of hot spots of depression. They cannot only be explained through municipal socio-demographic characteristics and which is why causes at catchment area level should also be studied. Indicators at both spatial levels were analysed by a multi-level regression model. The analysis included various socio-demographic, geographical and service allocation indicators. According to scientific literature, unemployment and rurality were identified as risk factors for depression and, therefore, for hot spots. On the other hand, low educational levels and poor accessibility showed little relationship here while other studies indicated otherwise. Preliminary results described diverse risk factors at two levels which were related to a high likelihood of hot spots, although more in-depth analysis will be needed.
AB - This study aims to analyse potential risk factors which could influence the occurrence of hot spots of depression. They cannot only be explained through municipal socio-demographic characteristics and which is why causes at catchment area level should also be studied. Indicators at both spatial levels were analysed by a multi-level regression model. The analysis included various socio-demographic, geographical and service allocation indicators. According to scientific literature, unemployment and rurality were identified as risk factors for depression and, therefore, for hot spots. On the other hand, low educational levels and poor accessibility showed little relationship here while other studies indicated otherwise. Preliminary results described diverse risk factors at two levels which were related to a high likelihood of hot spots, although more in-depth analysis will be needed.
KW - catchment areas
KW - mental health
KW - multilevel analysis
KW - risk factor
KW - Spatial cluster
UR - http://www.scopus.com/inward/record.url?scp=84904865487&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-09147-1_32
DO - 10.1007/978-3-319-09147-1_32
M3 - Conference contribution
AN - SCOPUS:84904865487
SN - 9783319091464
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 438
EP - 447
BT - Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
PB - Springer
T2 - 14th International Conference on Computational Science and Its Applications, ICCSA 2014
Y2 - 30 June 2014 through 3 July 2014
ER -
