2011
DOI: 10.1016/j.healthplace.2010.12.016
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Coalfield health effects: Variation in health across former coalfield areas in England

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Cited by 36 publications
(24 citation statements)
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“…Across Europe, there is a clear overlap between former coal mining and industrial areas and districts and regions with the poorest health 7 21. Riva and Curtis22 found that areas in England with persistently low or deteriorating employment rates (relative to the national average), often located in ex-industrial regions, had the highest rates of mortality and physical morbidity, even after adjusting for migration and individual characteristics of residents.…”
Section: Introductionmentioning
confidence: 99%
“…Across Europe, there is a clear overlap between former coal mining and industrial areas and districts and regions with the poorest health 7 21. Riva and Curtis22 found that areas in England with persistently low or deteriorating employment rates (relative to the national average), often located in ex-industrial regions, had the highest rates of mortality and physical morbidity, even after adjusting for migration and individual characteristics of residents.…”
Section: Introductionmentioning
confidence: 99%
“…This is also reported in the in the USA literature (Blakeney and Marshall, 2009), and the UK literature (Riva et al, 2011). Auty (1993) argues that communities bear the cost of environmental damage when governance is 'weak' and 'negligent', but this assumes developed countries have transparent and accountable institutions and processes to oversee mining development (Stevens, 2003;Robinson et al, 2006).…”
Section: Do Hunter Valley Ecological Impacts Constitute a Resource Cumentioning
confidence: 82%
“…In more recent years, studies comparing various health outcomes not only between urban and rural, but also among different degrees of rural, have emerged [1,6,12,13]. In Canada, a classification of rurality called Metropolitan Influence Zone (MIZ) [14] has increasingly been used to assess the inequalities in health within rural regions [4,8,9,15,16].…”
Section: Introductionmentioning
confidence: 99%