Better health is a well-documented benefit of having a higher socioeconomic status (SES). Inflammation may be one pathway through which SES influences health. Using 2658 participants in the Coronary Artery Risk Development in Young Adults (CARDIA) Study, we examine whether two measures of SES assessed at baseline (mean age, 32±4 years)—years of education and household income—predict change in C-reactive protein (CRP) concentrations over the course of 13 years. We also examine whether four health-related behaviors—smoking, fruit and vegetable consumption, physical activity, and alcohol consumption—mediate the prospective association of SES with CRP. Both higher education and household income predicted smaller increases in CRP over the 13 years of follow-up independent of age, sex, race, CARDIA center, body mass, medical diagnoses, medications, and hormone use (among women). Associations did not differ by race or sex. When examined in separate analyses, smoking and fruit and vegetable intake each accounted for a significant proportion of the respective effects of education and household income on CRP change, and physical activity a significant proportion of the effect of household income. These findings suggest that poor health behaviors among persons of lower socioeconomic status can have long-term effects on inflammation.

Little is known about whether the childhood family psychosocial environment (characterized by cold, unaffectionate interactions, conflict, aggression, neglect and/or low nurturance) affects coronary heart disease (CHD) risk. Objectives were to evaluate associations of childhood family psychosocial environment with carotid intima media thickness (IMT), a subclinical measure of atherosclerosis. The study population included 2,659 CARDIA study participants, aged 37-52 years. Childhood family psychosocial environment was measured using a risky family questionnaire via self-report. Carotid IMT was calculated using the average of 20 measurements of mean common carotid, bulb and internal carotid IMT, assessed using high-resolution B-mode ultrasound images. Utilizing linear regression analyses adjusted for age, a 1-unit (range 0-21) increase in risky family score was associated with 0.0036 (95% CI:0.0006,0.0066 mm) and 0.0020 (95% CI:0.0002,0.0038) mm increase in mean IMT in white males and females, respectively. Formal mediation analyses and covariate adjustments suggested childhood socioeconomic position and smoking may be important mechanisms in white males and females, as well as education and depressive symptomatology in white males. No associations were found in black participants. Formal statistical tests for interaction between risky family score and sex, and between risky family score and race/ethnicity, demonstrated borderline evidence of interactions for both sex (p=0.12) and race/ethnicity (p=0.14) with risky family score for associations with mean IMT. In conclusion, childhood family psychosocial environment was positively associated with IMT in white participants, with little evidence of association in black participants. Mechanisms in white participants may include potential negative impacts of socioeconomic constraints on parenting quality, potentially influencing offspring's cardiovascular risk factors (e.g. smoking), socioeconomic position (e.g. education), and/or psychosocial functioning (e.g. depression), which may in turn lead to atherosclerotic processes. Borderline racial/ethnic differences in findings should be replicated, but add to literature exploring race/ethnicity-specific associations of parenting approaches with health outcomes.

The object of this research was to assess cardiovascular (CV) risks in Asian Indians in California. We conducted eight focus groups and a pilot survey using community-based participatory research (CBPR) methods. Focus groups were held in six communities. Surveys were conducted by telephone or in person in areas selected for high population densities of Asian Indians. We selected focus group subjects by snowball sampling (n = 57). We held six English and two Punjabi groups. We used a surname-based phone list from three area codes for telephone interviews (n = 254). We added 50 in-person interviews for comparison (total n = 304) and did 50 interviews in Punjabi. We held community meetings for dissemination. Focus groups discussed CV risks; themes developed aided survey development. In-person and telephone surveys were feasible. Telephone surveys were more gender-balanced and people more often answered alcohol, tobacco, and income questions. Self-reported prevalences for hypertension, hypercholesterolemia, and diabetes were 20.4, 35.3 and 10.6%, respectively. Only 11.9% of persons reported ever smoking cigarettes. It was concluded that CBPR methods were effective in this exploratory study assessing CV risks in Asian Indians. Hypertension, high cholesterol, and diabetes were more prevalent in participants than the population average; other risk factors were less common (tobacco).

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