Socioeconomic factors in coronary artery disease - Results from the SPIRR-CAD study.

Low socio-economic status (SES) has been associated with an increased coronary risk in Western countries. All stress experiences are more pronounced in low SES patients with stress emanating from problems with family, job, or money. The SPIRR-CAD study offered an excellent opportunity to examine these risk factors in German speaking mildly and medium depressed patients. In the SPIRR CAD study, a German multi centre randomized clinical trial of 450 male and 120 female coronary patients, we examined the standard and psychosocial risk factor profiles in relation to SES, as assessed by educational level. All differences in risk factors between low and high SES were in the inverse direction. Of standard risk factors, only smoking was socially graded and more common in low SES. Of psychosocial factors and emotions, exhaustion showed the strongest and most consistent inverse social gradient, but also anger, anxiety and depression were socially graded. The findings suggest that in German patients, as in other national groups, social gradients in CHD risk are considerable. They can be ascribed to both psychosocial and to standard risk factors. In the present two years follow-up, the prospective significance of psychological and social risk factors was analyzed showing that emotional factors played an important role, in that low and high SES patients differed in the expected direction. However, the differences were not statistically significant and therefore firm conclusions from follow up were not possible. TRIAL REGISTRATION: ISRCTN 76240576; NCT00705965.

How does rate of smoking cessation vary by age, gender and social grade? Findings from a population survey in England.

AIMS: To assess the incidence of long-term smoking cessation as a function of age, gender, social grade and their interactions. DESIGN AND SETTING: Cross-sectional surveys of population representative samples of smokers in England. PARTICIPANTS: A total of 24 094 ever smokers (≥21 and ≤60 years of age) participating in household surveys between November 2006 and February 2011. MEASUREMENTS: The ratio of long-term (>1 year) ex-smokers to ever-smokers was calculated for each age. Regression analyses were used to model the association between age and quit ratio, with the change in quit ratio by year of age n years versus all years up to n-1 years, yielding an estimate of the quitting incidence at that age. Analyses were conducted for the entire sample and then for the sample stratified by gender and social grade, and interactions assessed between these variables. FINDINGS: A cubic trend was needed to fit the data. The estimated quitting incidence between ages 21 and 30 was 1.5% (95% CI: 1.0%-2.0%), between 31 and 50 it was 0.3% (95% CI: 0.2%-0.5%) and between 51 and 60 it was 1.2% (95% CI: 0.7%-1.7%). Age interacted with gender and social grade: women and smokers from higher social grades had a higher incidence of quitting than men and those from lower social grades specifically in young adulthood. CONCLUSIONS : The incidence of smoking cessation in England appears to be greater in young and old adults compared with those in middle age. Women and higher social grade smokers show a greater incidence of quitting than men and those from lower social grades specifically in young adulthood.