BACKGROUND: Even though coronary mortality in middle and old age is decreasing, social gradients may be increasing; but they need not necessarily be the same for men and women. In order to develop efficient preventive strategies more knowledge of the current distributions of risk factors both for men and for women is needed. OBJECTIVE: To investigate and to compare the socio-economic gradients for coronary risk factors of men and women. DESIGN: A cross-sectional study. METHODS: We studied 686 men and 825 women aged 25-64 years from a random population sample. Socio-economic status (SES) was classified according to the occupation-based Swedish Socio-economic Index. RESULTS: For women, high SES was associated with lower levels of total and low-density lipoprotein cholesterol, lower serum levels of triglycerides, higher levels of high-density lipoprotein cholesterol and lower blood pressure. For men, no relation between occupational status and levels of lipids and blood pressure was found. Obesity was associated with low SES both for men and for women. Socioeconomic differences in smoking habits were more pronounced for women than they were for men. The proportion of post-menopausal women was higher among the unskilled workers, despite there being no differences in age. Optimal risk factor status (non-smoker, total cholesterol level < 5 mmol/l, blood pressure < 140/90 mmHg without treatment and body mass index < 25 kg/m2) was unusual both among men and among women, but 34% of the higher officials among the women had optimal risk factor status, compared with 10% of the unskilled workers. Corresponding values for the men were 16 and 9% (P for interaction 0.09). The relation between low SES and level of low-density lipoprotein cholesterol was independent of smoking, post-menopausal state, use of oestrogen and waist:hip ratio (P = 0.04) and so was the relation between systolic blood pressure and low SES (P = 0.0003). CONCLUSIONS: In Sweden, low SES exerts a stronger adverse influence on cardiovascular risk factors of women than it does on those of men.
BACKGROUND: Even though coronary mortality in middle and old age is decreasing, social gradients may be increasing; but they need not necessarily be the same for men and women. In order to develop efficient preventive strategies more knowledge of the current distributions of risk factors both for men and for women is needed. OBJECTIVE: To investigate and to compare the socio-economic gradients for coronary risk factors of men and women. DESIGN: A cross-sectional study. METHODS: We studied 686 men and 825 women aged 25-64 years from a random population sample. Socio-economic status (SES) was classified according to the occupation-based Swedish Socio-economic Index. RESULTS: For women, high SES was associated with lower levels of total and low-density lipoprotein cholesterol, lower serum levels of triglycerides, higher levels of high-density lipoprotein cholesterol and lower blood pressure. For men, no relation between occupational status and levels of lipids and blood pressure was found. Obesity was associated with low SES both for men and for women. Socioeconomic differences in smoking habits were more pronounced for women than they were for men. The proportion of post-menopausal women was higher among the unskilled workers, despite there being no differences in age. Optimal risk factor status (non-smoker, total cholesterol level < 5 mmol/l, blood pressure < 140/90 mmHg without treatment and body mass index < 25 kg/m2) was unusual both among men and among women, but 34% of the higher officials among the women had optimal risk factor status, compared with 10% of the unskilled workers. Corresponding values for the men were 16 and 9% (P for interaction 0.09). The relation between low SES and level of low-density lipoprotein cholesterol was independent of smoking, post-menopausal state, use of oestrogen and waist:hip ratio (P = 0.04) and so was the relation between systolic blood pressure and low SES (P = 0.0003). CONCLUSIONS: In Sweden, low SES exerts a stronger adverse influence on cardiovascular risk factors of women than it does on those of men.
Authors: Nora Franceschini; Kathryn M Rose; Kristi L Storti; Sue Rutherford; V Saroja Voruganti; Sandy Laston; Harald H H Göring; Thomas D Dyer; Jason G Umans; Elisa T Lee; Lyle G Best; Richard R Fabsitz; Shelley A Cole; Jean W MacCluer; Kari E North Journal: Circ Cardiovasc Genet Date: 2009-06-16
Authors: Christina Howitt; Ian R Hambleton; Angela M C Rose; Anselm Hennis; T Alafia Samuels; Kenneth S George; Nigel Unwin Journal: BMJ Open Date: 2015-12-18 Impact factor: 2.692
Authors: Jonatan R Ruiz; Idoia Labayen; Francisco B Ortega; Luis A Moreno; Domingo González-Lamuño; Amelia Martí; Esther Nova; Miguel García Fuentes; Carlos Redondo-Figuero; J Alfredo Martínez; Michael Sjöström; Manuel J Castillo Journal: BMC Med Genet Date: 2008-11-10 Impact factor: 2.103
Authors: Shamarina Shohaimi; Matthijs S Boekholdt; Robert Luben; Nick J Wareham; Kay-Tee Khaw Journal: BMC Public Health Date: 2014-08-28 Impact factor: 3.295