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Research has proliferated on several topics that have invited new methodological approaches: the rural setting, gendered relations between men and women, communal status of minorities (Christians and Jews), and religious diversity among Muslims, in particular among those who identified as Sufi mystics. New sources and revisionist interpretations of them continue to transform the field of Mamluk Studies. Yet in many instances, findings on these subjects are confined to discoveries of information on discrete conditions or isolated events that do not lend themselves to comprehensive analysis. They often depend on a single source or fragmentary data set, and require imaginative speculation to formulate hypotheses that apply to questions about their broader contexts in society. The chapter will outline the state of research on these subjects and their potential to open new lines of inquiry by highlighting examples that have influenced revisionist interpretations.
Studies in urban areas identified environmental risk factors for mental illness, but little research on this topic has been performed in rural areas.
Methods.
Hospital admission rates were computed for 174 rural municipalities in the catchment area of the state psychiatric hospital in Günzburg in years 2006 to 2009 and combined with structural and socio-economic data. Relationships of overall and diagnosis-specific admission rates with municipality characteristics were analysed by means of negative binomial regression models.
Results.
Admission rates of patients with a diagnosis of schizophrenia and affective disorder combined decrease with increasing population growth, population density, average income and green areas, while admission rates are positively correlated with commuter balance, income inequality, unemployment rates and traffic areas. Admission rates for schizophrenia are negatively related to population growth, average income and agricultural areas, but positively related to mobility index, income inequality and unemployment rate. Admission rates for affective disorders are negatively related to population growth, population density, average income and green areas, while higher admission rates are correlated with commuter balance, high income inequality, unemployment rate and traffic-related areas.
Conclusions.
Effects of wealth, economic inequality, population density and structural area characteristics influence psychiatric admission rates also in rural areas.
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