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Article
Publication date: 30 November 2012

Karyn Morrissey, Antoinette Daly, Graham Clarke, Cathal O'Donoghue and Dimitris Ballas

There is a body of evidence that indicates mental illnesses are more prevalent in urban settings. However, to date no research has been carried out on the urban/rural incidence of…

201

Abstract

Purpose

There is a body of evidence that indicates mental illnesses are more prevalent in urban settings. However, to date no research has been carried out on the urban/rural incidence of mental illness in Ireland. This paper seeks to examine the micro level determinants of admissions to psychiatric hospitals between urban and rural areas.

Design/methodology/approach

Data from the National Psychiatric In‐patient Reporting System (NPIRS) and multivariate regression models are used.

Findings

Results from this analysis found that, in Ireland, rural residents had a higher probability of being admitted to a psychiatric hospital for schizophrenia and depression compared to urban residents.

Research limitations/implications

The results presented here are only applicable to individuals that have been admitted to a psychiatric hospital. Findings cannot be extrapolated to the general population. Future research will involve the simulation of mental health characteristics for the entire Irish population.

Originality/value

The analysis presented in the paper contributes to the current understanding of the social and spatial profile of psychiatric admissions in Ireland, whilst providing additional research to the international debate regarding urban/rural differentials in acute psychiatric hospital admissions.

Details

Journal of Public Mental Health, vol. 11 no. 4
Type: Research Article
ISSN: 1746-5729

Keywords

Available. Content available
Article
Publication date: 30 November 2012

Woody Caan

97

Abstract

Details

Journal of Public Mental Health, vol. 11 no. 4
Type: Research Article
ISSN: 1746-5729

Available. Open Access. Open Access
Article
Publication date: 2 July 2018

Xuemei Li, Ya Zhang and Kedong Yin

The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can…

1081

Abstract

Purpose

The traditional grey relational models directly describe the behavioural characteristics of the systems based on the sample point connections. Few grey relational models can measure the dynamic periodic fluctuation rules of the objects, and most of these models do not have affinities, which results in instabilities of the relational results because of sequence translation. The paper aims to discuss these issues.

Design/methodology/approach

Fourier transform functions are used to fit the system behaviour curves, redefine the area difference between the curves and construct a grey relational model based on discrete Fourier transform (DFTGRA).

Findings

To verify its validity, feasibility and superiority, DFTGRA is applied to research on the correlation between macroeconomic growth and marine economic growth in China coastal areas. It is proved that DFTGRA has the superior properties of affinity, symmetry, uniqueness, etc., and wide applicability.

Originality/value

DFTGRA can not only be applied to equidistant and equal time sequences but also be adopted for non-equidistant and unequal time sequences. DFTGRA can measure both the global relational degree and the dynamic correlation of the variable cyclical fluctuation between sequences.

Details

Marine Economics and Management, vol. 1 no. 1
Type: Research Article
ISSN: 2516-158X

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