Elderly people: state of health and living environment. The case of Budrio (northern Italy)

Gazerro, Marialuisa; Inelmen, Eminè Meral; Secco, Giacomo; Gatto, Maria Rosaria

doi:10.1016/1353-8292(96)00007-x

Cited by 2 publications

(2 citation statements)

References 7 publications

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“…2005) to the contextual aspects of the different environments, communities and places in which they live, work, play and receive care (Barnes 2002; Blackman et al. 2007; Gazerro et al. 1996; Krivo and Mutchler 1989).…”

Section: Intersection In Researchmentioning

confidence: 99%

“…Research in this field is concerned with a diverse range of issues from the specialized living environments required by older people (i.e. housing and residential accommodations) and interactions within environments (Andrews and Phillips 2002;Golant and LaGreca 1994;Lacayo 1991;Oswald et al 2007;Phillips and Vincent 1988;Phillips et al 2005) to the contextual aspects of the different environments, communities and places in which they live, work, play and receive care (Barnes 2002;Blackman et al 2007;Gazerro et al 1996;Krivo and Mutchler 1989). While both disciplines highlight the importance of human-environment relationships in understanding population ageing, geographers traditionally focus on the local contextual and compositional dimensions of older people's lives (e.g.…”

Section: Health and Living Environmentsmentioning

confidence: 99%

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Geographical Gerontology: Mapping a Disciplinary Intersection

et al. 2009

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The intersection between geography and gerontology arises structurally in institutions and intellectually both in academic debates surrounding disciplinary territoriality and substantive fields of empirical inquiry (population ageing and movement; services and policy; living environments; emplacement; emotions, images and the body). Although recent years have witnessed an increasing theoretical convergence between geography and gerontology – resulting in ever fertile ground for research – a range of contemporary social processes have yet to receive substantive attention. Arising as consumer niches and economic networks, these involve connectivity across geographical scales from the local to the global. Although they provide opportunities and enrich lives, they also contribute to the continued disadvantage of older people in the developing world. We argue that addressing these in research is not only morally justifiable, it potentially generates a distinct body of theoretical knowledge that might inform ongoing empirical work.

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Section: Intersection In Researchmentioning

confidence: 99%

Section: Health and Living Environmentsmentioning

confidence: 99%

Geographical Gerontology: Mapping a Disciplinary Intersection

et al. 2009

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Geographically Weighted Regression on the Environmental-Ecological Factors of Human Longevity

Choi¹,

Suh²

2012

Journal of Korean Society for Geospatial Information System

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The ordinary least square (OLS) regression model is assumed that the relationship between distribution of longevity population and environmental factors to be identical. Therefore, the OLS regression analysis can't explain sufficiently the spatial characteristics of longevity phenomenon and related variables. The geographically weighted regression (GWR) model can be representing the spatial relationship of adjacent area using geographically weighted function. It also characterized which can locally explain the spatial variation of distribution of longevity population by environmental characteristics. From this point of view, this study was performed the comparative analysis between OLS and GWR model for ecological factors of longevity existing studies. In the results, GWR model has higher corresponded to model than OLS model and can be accounting for spatial variability about effect of specific environmental variables.

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Elderly people: state of health and living environment. The case of Budrio (northern Italy)

Cited by 2 publications

References 7 publications

Geographical Gerontology: Mapping a Disciplinary Intersection

Geographical Gerontology: Mapping a Disciplinary Intersection

Geographically Weighted Regression on the Environmental-Ecological Factors of Human Longevity

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