Geographical variation in life expectancy at birth in England and Wales is largely explained by deprivation.
OBJECTIVE
To describe the population mortality profile of England and Wales by deprivation and in each government office region (GOR) during 1998, and to quantify the influence of geography and deprivation in determining life expectancy.


METHODS
Construction of life tables describing age specific mortality rates and life expectancy at birth from death registrations and estimated population counts. Life tables were created for (a) quintiles of income deprivation based on the income domain score of the index of multiple deprivation 2000, (b) each GOR and Wales, and (c) every combination of deprivation and geography.


METHODS
England and Wales.PATIENTS/ PARTICIPANTS: Residents of England and Wales, 1998.


RESULTS
Life expectancy at birth varies with deprivation quintile and is highest in the most affluent groups. The differences are mainly attributable to differences in mortality rates under 75 years of age. Regional life expectancies display a clear north-south gradient. Linear regression analysis shows that deprivation explains most of the geographical variation in life expectancy.


CONCLUSIONS
Geographical patterns of life expectancy identified within these data for England and Wales in 1998 are mainly attributable to variations in deprivation status as defined by the IMD 2000 income domain score.
Woods
Laura M
LM
Non-communicable Disease Epidemiology Unit, London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK. laura.woods@lshtm.ac.uk
Rachet
Bernard
B
Riga
Michael
M
Stone
Noell
N
Shah
Anjali
A
Coleman
Michel P
MP
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D004739:England / Q000453:epidemiology; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008017:Life Expectancy; D015993:Life Tables; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D009026:Mortality; D011203:Poverty / Q000706:statistics & numerical data*; D011204:Poverty Areas; D012737:Sex Factors; D014852:Wales / Q000453:epidemiology