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…
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
Keywords
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…
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.