2006
DOI: 10.1016/j.socscimed.2006.03.016
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Rural habitat and risk of death in small areas of Southern Spain

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Cited by 12 publications
(5 citation statements)
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“…Our results are also concordant with other studies that used different deprivation measures [28][29][30][31][32][33]. Regarding the use of a rurality index, its application in southern Spain [34] showed a reduction in mortality rates for the most rural municipalities, with a risk of death for men 13.3 % lower in the most rural areas compared with that in more urban environments, and a risk of death for women 14.1 % lower than that in more urban environments. Similar associations between the rural characteristics of the area of residence and stomach cancer were obtained in rural areas of China [35].…”
Section: Discussionsupporting
confidence: 91%
“…Our results are also concordant with other studies that used different deprivation measures [28][29][30][31][32][33]. Regarding the use of a rurality index, its application in southern Spain [34] showed a reduction in mortality rates for the most rural municipalities, with a risk of death for men 13.3 % lower in the most rural areas compared with that in more urban environments, and a risk of death for women 14.1 % lower than that in more urban environments. Similar associations between the rural characteristics of the area of residence and stomach cancer were obtained in rural areas of China [35].…”
Section: Discussionsupporting
confidence: 91%
“…The centrally located provinces had a higher proportion of the population residing in rural areas. Since the risk of mortality has been shown to be lower in rural than in urban areas [ 16 ], we calculated for each province the percentage of the population aged 25 years and over with low and with high education who resided in municipalities with fewer than 5000 inhabitants. This was done by accessing the 2001 population census data in the website of the National Institute of Statistics [ 17 ].…”
Section: Methodsmentioning
confidence: 99%
“…Each individual was assigned to an education quartile and an unemployment quartile based on his/her province or neighbourhood of residence. Since the risk of mortality has proven to be lower in rural areas than in urban areas (Ocaña-Riola et al, 2006), for each province and for each neighbourhood the population density was also calculated by dividing the number of inhabitants in the province or neighbourhood by surface in square kilometers.…”
Section: Area-level Variablesmentioning
confidence: 99%