The Importance of Location for Tobacco Cessation: Rural–Urban Disparities in Quit Success in Underserved West Virginia Counties

Northridge, Mary E.; Vallone, Donna; Xiao, Huiling; Green, Molly; Blackwood, Julia Weikle; Kemper, Suzanne; Duke, Jennifer; Watson, Kimberly A.; Burrus, Barri; Treadwell, Henrie M.

doi:10.1111/j.1748-0361.2008.00146.x

Cited by 30 publications

(48 citation statements)

References 20 publications

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“…Several targeted cessation trials in the USA86 88 89 92 and one in Australia93 reported relatively high quit rates, although these studies were generally small (100 participants or fewer). Two larger studies87 91 targeted ‘disadvantaged’ communities but attracted smokers with a range of SES; both reported greater success among high-SES individuals 91 87…”

Section: Smoking Cessation Supportmentioning

confidence: 99%

Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence

et al. 2013

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Section: Smoking Cessation Supportmentioning

confidence: 99%

Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence

et al. 2013

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“…Variables included age (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50), and ‡ 51 years), education ( < high school, high school/General Educational Development (GED), and > high school), race (white vs. other), marital status at time of interview (never married, married/member of couple, and divorced/widowed/separated), employment (full-time, part-time, unemployed/disabled, other), occupation (professional as defined by a degree, skilled labor, unskilled labor, other), annual household income, and health insurance (private, government-assisted, none).…”

Section: Social and Demographic Characteristicsmentioning

confidence: 99%

Risk Factors for Smoking in Rural Women

Wewers

Salsberry

Ferketich

et al. 2012

Journal of Women's Health

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Background: This study examined the association between social, demographic, and psychologic factors and smoking status among Appalachian Ohio women. A secondary aim examined whether specific factors could be identified and segmented for future tailored treatment of tobacco dependence. Methods: A cross-sectional survey (n = 570) obtained information about social, demographic, and psychologic factors and smoking. Logistic regression described associations between these characteristics and smoking status. Chi-square automatic interaction detection (CHAID) analyses identified subgroups at risk for smoking. Results: Fifty-two percent never smoked, with 20.5% and 27.5% categorized as former and current smokers, respectively. Women with low adult socioeconomic position (SEP) were more likely to smoke (odds ratio [OR] 3.05, 95% confidence interval [CI] 1.74-5.34) compared to high SEP women. Other factors associated with current smoking included age 31-50 (OR 2.30, 95% CI 1.22-4.33), age 18-30 (OR 3.29, 95% CI 1.72-5.34), Center for Epidemiologic Studies Depression scale (CES-D) score ‡ 16 (OR 1.99, 95% CI 1.31-3.05), and first pregnancy at age < 20 (OR 1.74, 95% CI 1.14-2.66). The prevalence of smoking was 50% among those with four or more risk factors compared to 10% for those reporting no risk factors. CHAID analyses identified low adult SEP and depressive symptoms as the combination of risk factors most strongly associated with smoking; 49.3% of women in this subgroup currently smoked. Conclusions: Low SEP in adulthood, maternal circumstances, and depressive symptoms are associated with current smoking. Tailored cessation interventions that address these risk factors should be developed and further evaluated in an attempt to reduce disparities in smoking prevalence among this vulnerable group of women.

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“…The program was intensive and consisted of a medical examination, an eight-session educational and behavioral counseling program that included pharmacotherapy, and follow-up group meetings. When compared to urban residents, rural participants in the program were signifi cantly less likely to quit at the end of the intervention ( OR = 0.58; 95% CI 0.35, 0.94), after adjusting for characteristics known to infl uence cessation (Northridge et al, 2008). Second, Hahn and coworkers implemented a community-based approach to promote cessation among smokers residing in rural Kentucky (Hahn et al, 2005).…”

Section: Rural Smokersmentioning

confidence: 95%

Nursing Research in Tobacco Use and Special Populations

Browning

Baker²,

McNally³

et al. 2009

Annu Rev Nurs Res

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Smoking is responsible for approximately one in five deaths in the United States per year. The Surgeon General's 1964 report first linked smoking as a cause of cancer. Since then cigarette smoking has had a steady decline to its current estimate of 19.8%. There are, however, some special populations where smoking continues to occur at a higher prevalence than the general population. This chapter discusses tobacco dependence among the following special populations: low socioeconomic status including Medicaid, hard-core smokers, rural, and homeless; immigrants; and persons living with HIV. For each population, there is an overview of the disparities in tobacco use, special challenges unique to that population, and exploration of current research on tailoring of tobacco dependence treatment. Each of the special populations discussed present unique challenges with tobacco dependence treatment that will require careful examination before disparities will ultimately decrease. Eliminating disparities has been marked as an important research agenda item as noted in Healthy People 2010. Nurse researchers are well positioned to combine their clinical expertise and knowledge of patient psychosocial needs with investigation of patient-focused research questions in each of these special populations.

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The Importance of Location for Tobacco Cessation: Rural–Urban Disparities in Quit Success in Underserved West Virginia Counties

Cited by 30 publications

References 20 publications

Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence

Impact of tobacco control interventions on socioeconomic inequalities in smoking: review of the evidence

Risk Factors for Smoking in Rural Women

Nursing Research in Tobacco Use and Special Populations

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