TY - JOUR
T1 - The role of health-related behavioural factors in accounting for inequalities in coronary heart disease risk by education and area deprivation
T2 - Prospective study of 1.2 million UK women
AU - Floud, Sarah
AU - Balkwill, Angela
AU - Moser, Kath
AU - Reeves, Gillian K.
AU - Green, Jane
AU - Beral, Valerie
AU - Cairns, Benjamin J.
AU - Abbiss, Hayley
AU - Abbott, Simon
AU - Armstrong, Miranda
AU - Baker, Krys
AU - Barnes, Isobel
AU - Black, Judith
AU - Bradbury, Kathryn
AU - Brown, Anna
AU - Cairns, Benjamin
AU - Canoy, Dexter
AU - Chadwick, Andrew
AU - Ewart, Dave
AU - Ewart, Sarah
AU - Fletcher, Lee
AU - Gathani, Toral
AU - Gerrard, Laura
AU - Goodill, Adrian
AU - Guiver, Lynden
AU - Heath, Alicia
AU - Hozak, Michal
AU - Hermon, Carol
AU - Lingard, Isobel
AU - Kan, Sau Wan
AU - Langston, Nicky
AU - Pirie, Kirstin
AU - Reeves, Gillian
AU - Shaw, Keith
AU - Sherman, Emma
AU - Strange, Helena
AU - Sweetland, Sian
AU - Tipper, Sarah
AU - Wotton, Claire
AU - Wright, Lucy
AU - Yang, Owen
AU - Young, Heather
AU - Banks, Emily
N1 - Publisher Copyright:
© 2016 The Author(s).
PY - 2016/10/13
Y1 - 2016/10/13
N2 - Background: Some recent research has suggested that health-related behaviours, such as smoking, might explain much of the socio-economic inequalities in coronary heart disease (CHD) risk. In a large prospective study of UK women, we investigated the associations between education and area deprivation and CHD risk and assessed the contributions of smoking, alcohol consumption, physical activity and body mass index (BMI) to these inequalities. Methods: After excluding women with heart disease, stroke or cancer at recruitment, 1,202,983 women aged 56 years (SD 5 years) on average, were followed for first coronary event (hospital admission or death) and for CHD mortality. Relative risks of CHD were estimated by Cox regression, and the extent to which any association could be accounted for by smoking, alcohol, physical inactivity, and BMI was assessed by calculating the percentage reduction in the relevant likelihood-ratio (LR) statistic after adjustment for these factors, separately and together. Results: A total of 71,897 women had a first CHD event (hospital admission or death) and 6032 died from CHD during 12 years follow-up. In analyses adjusted by age, birth cohort and region of residence only, lower levels of education and greater deprivation were associated with higher risks of CHD (P heterogeneity < 0.0001 for each); associations for education were found within every level of deprivation and for deprivation were found within every level of education. Smoking, alcohol consumption, physical inactivity and BMI accounted for most of the associations (adjustment for all four factors together reduced the LR statistics for education and for deprivation by 76 % and 71 %, respectively, for first CHD event; and by 87 % and 79 %, respectively, for CHD mortality). Of these four factors, adjustment for smoking resulted in the largest reduction in the LR statistic. Given the large reduction in the predictive values of education and deprivation after adjustment for only four health-related behavioural factors recorded just at recruitment, residual confounding might plausibly account for the remaining associations. Conclusions: Most of the association between CHD risk and education and area deprivation in UK women is accounted for by health-related behaviours, particularly by smoking and to a lesser extent by alcohol consumption, physical inactivity and BMI.
AB - Background: Some recent research has suggested that health-related behaviours, such as smoking, might explain much of the socio-economic inequalities in coronary heart disease (CHD) risk. In a large prospective study of UK women, we investigated the associations between education and area deprivation and CHD risk and assessed the contributions of smoking, alcohol consumption, physical activity and body mass index (BMI) to these inequalities. Methods: After excluding women with heart disease, stroke or cancer at recruitment, 1,202,983 women aged 56 years (SD 5 years) on average, were followed for first coronary event (hospital admission or death) and for CHD mortality. Relative risks of CHD were estimated by Cox regression, and the extent to which any association could be accounted for by smoking, alcohol, physical inactivity, and BMI was assessed by calculating the percentage reduction in the relevant likelihood-ratio (LR) statistic after adjustment for these factors, separately and together. Results: A total of 71,897 women had a first CHD event (hospital admission or death) and 6032 died from CHD during 12 years follow-up. In analyses adjusted by age, birth cohort and region of residence only, lower levels of education and greater deprivation were associated with higher risks of CHD (P heterogeneity < 0.0001 for each); associations for education were found within every level of deprivation and for deprivation were found within every level of education. Smoking, alcohol consumption, physical inactivity and BMI accounted for most of the associations (adjustment for all four factors together reduced the LR statistics for education and for deprivation by 76 % and 71 %, respectively, for first CHD event; and by 87 % and 79 %, respectively, for CHD mortality). Of these four factors, adjustment for smoking resulted in the largest reduction in the LR statistic. Given the large reduction in the predictive values of education and deprivation after adjustment for only four health-related behavioural factors recorded just at recruitment, residual confounding might plausibly account for the remaining associations. Conclusions: Most of the association between CHD risk and education and area deprivation in UK women is accounted for by health-related behaviours, particularly by smoking and to a lesser extent by alcohol consumption, physical inactivity and BMI.
KW - Area deprivation
KW - Coronary heart disease
KW - Education
KW - Health behaviour
KW - Socio-economic status
KW - Women
UR - http://www.scopus.com/inward/record.url?scp=84994802448&partnerID=8YFLogxK
U2 - 10.1186/s12916-016-0687-2
DO - 10.1186/s12916-016-0687-2
M3 - Article
SN - 1741-7015
VL - 14
JO - BMC Medicine
JF - BMC Medicine
IS - 1
M1 - 145
ER -