The relationships between depression spatial clusters and mental health planning in Catalonia (Spain)

Maria Luisa Rodero-Cosano; Jose Alberto Salinas-Perez; Juan Luis Gonzalez-Caballero; Carlos R. Garcia-Alonso; Carolina Lagares-Franco; Luis Salvador-Carulla

doi:10.1007/978-3-319-09147-1_32

The relationships between depression spatial clusters and mental health planning in Catalonia (Spain)

Maria Luisa Rodero-Cosano
, Jose Alberto Salinas-Perez
, Juan Luis Gonzalez-Caballero
, Carlos R. Garcia-Alonso
, Carolina Lagares-Franco
, Luis Salvador-Carulla

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
Publisher	Springer
Pages	438-447
Number of pages	10
Edition	PART 4
ISBN (Print)	9783319091464
DOIs	https://doi.org/10.1007/978-3-319-09147-1_32
Publication status	Published - 2014
Externally published	Yes
Event	14th International Conference on Computational Science and Its Applications, ICCSA 2014 - Guimaraes, Portugal Duration: 30 Jun 2014 → 3 Jul 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	8582 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Computational Science and Its Applications, ICCSA 2014
Country/Territory	Portugal
City	Guimaraes
Period	30/06/14 → 3/07/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 8 Decent Work and Economic Growth

Access to Document

10.1007/978-3-319-09147-1_32

Cite this

Rodero-Cosano, M. L., Salinas-Perez, J. A., Gonzalez-Caballero, J. L., Garcia-Alonso, C. R., Lagares-Franco, C., & Salvador-Carulla, L. (2014). The relationships between depression spatial clusters and mental health planning in Catalonia (Spain). In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings (PART 4 ed., pp. 438-447). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8582 LNCS, No. PART 4). Springer. https://doi.org/10.1007/978-3-319-09147-1_32

Rodero-Cosano, Maria Luisa ; Salinas-Perez, Jose Alberto ; Gonzalez-Caballero, Juan Luis et al. / The relationships between depression spatial clusters and mental health planning in Catalonia (Spain). Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 4. ed. Springer, 2014. pp. 438-447 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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title = "The relationships between depression spatial clusters and mental health planning in Catalonia (Spain)",

abstract = "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.",

keywords = "catchment areas, mental health, multilevel analysis, risk factor, Spatial cluster",

author = "Rodero-Cosano, \{Maria Luisa\} and Salinas-Perez, \{Jose Alberto\} and Gonzalez-Caballero, \{Juan Luis\} and Garcia-Alonso, \{Carlos R.\} and Carolina Lagares-Franco and Luis Salvador-Carulla",

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doi = "10.1007/978-3-319-09147-1\_32",

language = "English",

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Rodero-Cosano, ML, Salinas-Perez, JA, Gonzalez-Caballero, JL, Garcia-Alonso, CR, Lagares-Franco, C & Salvador-Carulla, L 2014, The relationships between depression spatial clusters and mental health planning in Catalonia (Spain). in Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 8582 LNCS, Springer, pp. 438-447, 14th International Conference on Computational Science and Its Applications, ICCSA 2014, Guimaraes, Portugal, 30/06/14. https://doi.org/10.1007/978-3-319-09147-1_32

The relationships between depression spatial clusters and mental health planning in Catalonia (Spain). / Rodero-Cosano, Maria Luisa; Salinas-Perez, Jose Alberto; Gonzalez-Caballero, Juan Luis et al.
Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 4. ed. Springer, 2014. p. 438-447 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8582 LNCS, No. PART 4).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

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.

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KW - mental health

KW - multilevel analysis

KW - risk factor

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SN - 9783319091464

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings

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ER -

Rodero-Cosano ML, Salinas-Perez JA, Gonzalez-Caballero JL, Garcia-Alonso CR, Lagares-Franco C, Salvador-Carulla L. The relationships between depression spatial clusters and mental health planning in Catalonia (Spain). In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings. PART 4 ed. Springer. 2014. p. 438-447. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-319-09147-1_32

The relationships between depression spatial clusters and mental health planning in Catalonia (Spain)

Abstract

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UN SDGs

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