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African Americans suffer disproportionately from the adverse health consequences of smoking, and also report substantially lower socioeconomic status than Whites and other racial/ethnic groups in the U.S. Although socioeconomic disadvantage is known to have a negative influence on smoking cessation rates and overall health, little is known about the influence of socioeconomic status on smoking cessation specifically among African Americans. Thus, the purpose of the current study was to characterize the impact of several individual- and area-level indicators of socioeconomic status on smoking cessation among African Americans. Data were collected as part of a smoking cessation intervention study for African American smokers (N = 379) recruited from the Houston, Texas, metropolitan area, who participated in the study between 2005 and 2007. The separate and combined influences of individual-level (insurance status, unemployment, education, and income) and area-level (neighborhood unemployment, education, income, and poverty) indicators of socioeconomic status on continuous smoking abstinence were examined across time intervals using continuation ratio logit modeling. Individual-level analyses indicated that unemployment was significantly associated with reduced odds of smoking abstinence, while higher income was associated with greater odds of abstinence. However, only unemployment remained a significant predictor of abstinence when unemployment and income were included in the model together. Area-level analyses indicated that greater neighborhood unemployment and poverty were associated with reduced odds of smoking abstinence, while greater neighborhood education was associated with higher odds of abstinence. However, only neighborhood unemployment remained significantly associated with abstinence status when individual-level income and unemployment were included in the model. Overall, findings suggest that individual- and area-level unemployment have a negative impact on smoking cessation among African Americans. Addressing unemployment through public policy and within smoking cessation interventions, and providing smoking cessation treatment for the unemployed may have a beneficial impact on tobacco-related health disparities., (Copyright © 2012 Elsevier Ltd. All rights reserved.)

Although socioeconomic status is a major contributing factor to health disparities, the mechanisms through which socioeconomic status influences health remain unclear. The purpose of the present study was to evaluate an a priori conceptual model of the pathways between socioeconomic status and modifiable health risk factors in a sample of 399 African Americans seeking smoking cessation treatment. A latent variable modeling approach was utilized to characterize the interrelationships among socioeconomic status, neighborhood disadvantage, social support, negative affect/perceived stress, and three specific modifiable risk factors (i.e., overweight/obesity, insufficient physical activity, at-risk drinking). Findings indicated that neighborhood disadvantage, social support, and negative affect/perceived stress function as pathways linking socioeconomic status and modifiable risk factors among African American smokers, and negative affect/perceived stress appears to play a key mediating role. Policy, community, and individual-level interventions may attenuate the impact of socioeconomic status on health by targeting intermediate psychosocial, environmental, and behavioral pathways., (© Springer Science+Business Media, LLC 2009)

The majority of smoking cessation research has focused on heavy smokers. African Americans (AA) are less likely than the general population to be heavy smokers. Thus, little is known about the smoking and psychosocial characteristics of lighter AA smokers. The present study compared the baseline demographic, smoking, and psychosocial characteristics of light (5-10 cigarettes per day; n=86) and moderate to heavy (>10 cigarettes per day; n=286) AA smokers enrolled in a smoking cessation clinical trial. Results indicated no differences between groups on demographic variables. However, light smokers (LS) were less dependent on smoking, reported more previous quit attempts, and had higher self-efficacy to quit than moderate to heavy smokers (MHS). On a measure of withdrawal, LS reported less pre-quit craving and less difficulty concentrating than MHS. In addition, LS reported lower perceived stress, fewer symptoms of depression, and greater positive affect than AA MHS. These findings highlight important similarities and differences between AA LS and MHS, and have implications for the treatment of AA smokers.

Smoking in combination with other behavioral risk factors is known to have a negative influence on health, and individuals who smoke typically engage in multiple risk behaviors. However, little is known about the clustering of risk behaviors among smokers of varying race/ethnicity. The purpose of this study was to examine patterns of cancer risk behaviors and to identify predictors of multiple risk behaviors in a racially/ethnically diverse sample of individuals seeking smoking cessation treatment. Overweight/obesity, at-risk alcohol consumption, and insufficient physical activity were measured in 424 smokers (African American, n = 144; Latino, n = 141; and Caucasian, n = 139). Results indicated that 90% of participants reported behavioral cancer risk factors in addition to smoking. Approximately 70% of participants were overweight or obese, 48% engaged in at-risk drinking, and 27% were insufficiently physically active. Univariate analyses indicated that race/ethnicity (P < 0.001), smoking level (P = 0.03), and marital status (P = 0.04) were significant predictors of multiple risk behaviors, although only race/ethnicity remained a significant predictor (P < 0.001), when gender, smoking level, age, education, household income, marital status, and health insurance status were included in a multivariate model. Multivariate analysis indicated that the odds of engaging in multiple risk behaviors were significantly higher among Latinos (odds ratio = 2.85) and African Americans (odds ratio = 1.86) than Caucasians. Our findings highlight the need for research aimed at identifying determinants of racial/ethnic differences in multiple risk behaviors and indicate the importance of developing culturally sensitive interventions that target multiple risk behaviors.

The purpose of the present study was to describe the prevalence, patterns, and predictors of cooccurring modifiable cancer risk factors among African-Americans seeking smoking cessation treatment and to evaluate previously hypothesized models of the relationship between socioeconomic status (SES) and health behavior. Overweight/obesity, at-risk alcohol consumption, and insufficient physical activity were measured in 399 African-American smokers. Analyses indicated that 92.8% of participants had at least one cancer risk factor in addition to smoking. Univariate ordinal logistic regression analyses revealed that female gender, unemployment, lower positive affect, and greater negative affect were associated with having a greater number of cancer risk factors. Multivariate analyses yielded similar findings. A structural equation modeling approach indicated that stress/negative affect may function as one pathway linking SES and modifiable cancer risk factors among African-American smokers and that gender has a direct effect on modifiable cancer risk factors. Thus, risk patterns identified within each gender group may guide the development of multiple risk factor interventions for African-American smokers. Stress and negative affect may be an important treatment target within behavioral interventions for African-American smokers of low SES.