Literature DB >> 15003406

Socio-economic deprivation and excess winter mortality and emergency hospital admissions in the South Yorkshire Coalfields Health Action Zone, UK.

R Maheswaran1, D Chan, P T Fryers, C McManus, H McCabe.   

Abstract

The aims of this study were to describe the pattern of excess winter mortality and emergency hospital admissions in the South Yorkshire Coalfields Health Action Zone, and to examine the relationship between excess winter mortality and emergency hospital admissions and socio-economic deprivation at the enumeration district level. We analysed monthly deaths from 1981 to 1999 and monthly emergency hospital admissions from 1990 to 1999 for cardiovascular disease, respiratory disease and all other causes of death for people aged 45 years and above. We used the enumeration district level Townsend socio-economic deprivation score to categorize enumeration districts by quintile. Excess winter mortality ratios (observed/expected) for females and males, respectively, were 1.70 and 1.58 for respiratory disease, 1.25 and 1.20 for cardiovascular disease, and 1.09 and 1.07 for all other causes of death. The excess winter hospital admission ratio for respiratory disease was 1.80 for females and 1.58 for males. No excess was evident for the other two groups of conditions. We found no significant increase in excess winter mortality ratios with increasing socio-economic deprivation. There was also no significant increase in the excess winter respiratory admission ratio with increasing deprivation. With regard to age, we found P<0.0001 and for all other diseases P>0.001 and also in the excess winter hospital admission ratio for respiratory disease P<0.0001 With regard to sex, the excess ratios were lower in men than in women for both respiratory mortality P<0.05 and respiratory hospital admissions P<0.0001 We also observed that excess winter mortality ratios decreased significantly over the 18-year period for cardiovascular disease P<0.05 and for all other diseases P<0.05. Our results suggest that measures to reduce excess winter mortality should be implemented on a population-wide basis and not limited to socio-economically deprived areas. There may also be a case for tailoring interventions to specifically meet the needs of older people.

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Year:  2004        PMID: 15003406     DOI: 10.1016/j.puhe.2003.09.004

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  7 in total

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Authors:  Ricardo Almendra; Julian Perelman; Joao Vasconcelos; Paula Santana
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2.  Heat-related and cold-related deaths in England and Wales: who is at risk?

Authors:  S Hajat; R S Kovats; K Lachowycz
Journal:  Occup Environ Med       Date:  2006-09-21       Impact factor: 4.402

3.  Effect of social factors on winter hospital admission for respiratory disease: a case-control study of older people in the UK.

Authors:  Rachel E Jordan; Jeremy I Hawker; Jon G Ayres; Peymané Adab; William Tunnicliffe; Babatunde Olowokure; Joe Kai; Richard J McManus; Ros Salter; Kar Keung Cheng
Journal:  Br J Gen Pract       Date:  2008-06       Impact factor: 5.386

4.  Excess winter mortality and cold temperatures in a subtropical city, Guangzhou, China.

Authors:  Chun-Quan Ou; Yun-Feng Song; Jun Yang; Patsy Yuen-Kwan Chau; Lin Yang; Ping-Yan Chen; Chit-Ming Wong
Journal:  PLoS One       Date:  2013-10-08       Impact factor: 3.240

5.  Evidence of social deprivation on the spatial patterns of excess winter mortality.

Authors:  Ricardo Almendra; Paula Santana; João Vasconcelos
Journal:  Int J Public Health       Date:  2017-03-30       Impact factor: 3.380

6.  The Excess Winter Deaths Measure: Why Its Use Is Misleading for Public Health Understanding of Cold-related Health Impacts.

Authors:  Shakoor Hajat; Antonio Gasparrini
Journal:  Epidemiology       Date:  2016-07       Impact factor: 4.822

Review 7.  Impact of extreme weather events and climate change for health and social care systems.

Authors:  Sarah Curtis; Alistair Fair; Jonathan Wistow; Dimitri V Val; Katie Oven
Journal:  Environ Health       Date:  2017-12-05       Impact factor: 7.123

  7 in total

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