Literature DB >> 22405506

Individual- and area-level unemployment influence smoking cessation among African Americans participating in a randomized clinical trial.

Darla E Kendzor1, Lorraine R Reitzel, Carlos A Mazas, Ludmila M Cofta-Woerpel, Yumei Cao, Lingyun Ji, Tracy J Costello, Jennifer Irvin Vidrine, Michael S Businelle, Yisheng Li, Yessenia Castro, Jasjit S Ahluwalia, Paul M Cinciripini, David W Wetter.   

Abstract

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.

Entities:  

Mesh:

Year:  2012        PMID: 22405506      PMCID: PMC3321106          DOI: 10.1016/j.socscimed.2012.01.013

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  63 in total

1.  Public policy frameworks for improving population health.

Authors:  A R Tarlov
Journal:  Ann N Y Acad Sci       Date:  1999       Impact factor: 5.691

2.  Unbundling education: a critical discussion of what education confers and how it lowers risk for disease and death.

Authors:  I H Yen; N Moss
Journal:  Ann N Y Acad Sci       Date:  1999       Impact factor: 5.691

3.  Social networks among blacks and whites: the interaction between race and age.

Authors:  K J Ajrouch; T C Antonucci; M R Janevic
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2001-03       Impact factor: 4.077

4.  A prospective investigation of the impact of smoking bans on tobacco cessation and relapse.

Authors:  D R Longo; J C Johnson; R L Kruse; R C Brownson; J E Hewett
Journal:  Tob Control       Date:  2001-09       Impact factor: 7.552

5.  Walking, exercising, and smoking: does neighborhood matter?

Authors:  C E Ross
Journal:  Soc Sci Med       Date:  2000-07       Impact factor: 4.634

6.  Association of availability of tobacco products with socio-economic and racial/ethnic characteristics of neighbourhoods.

Authors:  M Siahpush; P R Jones; G K Singh; L R Timsina; J Martin
Journal:  Public Health       Date:  2010-08-17       Impact factor: 2.427

Review 7.  Monitoring of socio-economic inequalities in smoking: learning from the experiences of recent scientific studies.

Authors:  M M Schaap; A E Kunst
Journal:  Public Health       Date:  2009-01-14       Impact factor: 2.427

8.  State-specific trends in smoke-free workplace policy coverage: the current population survey tobacco use supplement, 1993 to 1999.

Authors:  D R Shopland; K K Gerlach; D M Burns; A M Hartman; J T Gibson
Journal:  J Occup Environ Med       Date:  2001-08       Impact factor: 2.162

Review 9.  Psychological perspectives on pathways linking socioeconomic status and physical health.

Authors:  Karen A Matthews; Linda C Gallo
Journal:  Annu Rev Psychol       Date:  2011       Impact factor: 24.137

10.  Successful smoking cessation and duration of abstinence--an analysis of socioeconomic determinants.

Authors:  Joachim Marti
Journal:  Int J Environ Res Public Health       Date:  2010-06-30       Impact factor: 3.390

View more
  31 in total

1.  Financial incentives for abstinence among socioeconomically disadvantaged individuals in smoking cessation treatment.

Authors:  Darla E Kendzor; Michael S Businelle; Insiya B Poonawalla; Erica L Cuate; Anshula Kesh; Debra M Rios; Ping Ma; David S Balis
Journal:  Am J Public Health       Date:  2014-11-13       Impact factor: 9.308

2.  Mobile technology for obesity prevention: a randomized pilot study in racial- and ethnic-minority girls.

Authors:  Nicole L Nollen; Matthew S Mayo; Susan E Carlson; Michael A Rapoff; Kathy J Goggin; Edward F Ellerbeck
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

3.  Neighborhood social environment as risk factors to health behavior among African Americans: The Jackson Heart Study.

Authors:  Xu Wang; Amy H Auchincloss; Sharrelle Barber; Stephanie L Mayne; Michael E Griswold; Mario Sims; Ana V Diez Roux
Journal:  Health Place       Date:  2017-05-05       Impact factor: 4.078

4.  Paying Low-Income Smokers to Quit? The Cost-Effectiveness of Incentivizing Tobacco Quit Line Engagement for Medicaid Recipients Who Smoke.

Authors:  Marlon P Mundt; Timothy B Baker; David L Fraser; Stevens S Smith; Megan E Piper; Michael C Fiore
Journal:  Value Health       Date:  2018-09-20       Impact factor: 5.725

5.  Socioeconomic status and smoking cessation: neighborhood context as an underlying mechanism.

Authors:  Miguel Ángel Cano; David W Wetter
Journal:  Tex Heart Inst J       Date:  2014-06-01

6.  The Relationship Between Neighborhood Disorder and Barriers to Cessation in a Sample of Impoverished Inner-City Smokers in Baltimore, Maryland, United States.

Authors:  Carl A Latkin; Ryan D Kennedy; Melissa A Davey-Rothwell; Tuo-Yen Tseng; Lauren Czaplicki; Anirudh Baddela; Catie Edwards; Geetanjali Chander; Meghan B Moran; Amy R Knowlton
Journal:  Nicotine Tob Res       Date:  2018-11-15       Impact factor: 4.244

7.  Financial incentives to Medicaid smokers for engaging tobacco quit line treatment: maximising return on investment.

Authors:  Marlon P Mundt; Timothy B Baker; Megan E Piper; Stevens S Smith; David L Fraser; Michael C Fiore
Journal:  Tob Control       Date:  2019-05-30       Impact factor: 7.552

Review 8.  The use of ambulatory assessment in smoking cessation.

Authors:  Christine Vinci; Aaron Haslam; Cho Y Lam; Santosh Kumar; David W Wetter
Journal:  Addict Behav       Date:  2018-02-03       Impact factor: 3.913

9.  Socioeconomic status and the reward value of smoking following tobacco abstinence: a laboratory study.

Authors:  Lorraine R Reitzel; Adam M Leventhal
Journal:  Nicotine Tob Res       Date:  2014-06-16       Impact factor: 4.244

10.  Socioeconomic indicators as predictors of smoking cessation among Spanish-Speaking Mexican Americans.

Authors:  Christine Vinci; Lin Guo; Claire A Spears; Liang Li; Virmarie Correa-Fernández; Paul E Etcheverry; Cho Y Lam; Diana S Hoover; David W Wetter
Journal:  Ethn Health       Date:  2017-09-01       Impact factor: 2.772

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.