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. 2013 Dec;103(Suppl 2):S218–S220. doi: 10.2105/AJPH.2013.301336

Comparing Homeless Smokers to Economically Disadvantaged Domiciled Smokers

Michael S Businelle 1,, Erica L Cuate 1, Anshula Kesh 1, Insiya B Poonawalla 1, Darla E Kendzor 1
PMCID: PMC3969128  PMID: 24148069

Abstract

We compared characteristics of homeless smokers and economically disadvantaged domiciled smokers (Dallas, TX; August 2011–November 2012). Although findings indicated similar smoking characteristics across samples, homeless smokers (n = 57) were exposed to more smokers and reported lower motivation to quit, lower self-efficacy for quitting, more days with mental health problems, and greater exposure to numerous stressors than domiciled smokers (n = 110). The sample groups reported similar scores on measures of affect, perceived stress, and interpersonal resources. Results may inform novel cessation interventions for homeless smokers.


Homeless individuals in the United States1 have higher rates of disease, shorter life expectancy, and disproportionately higher health care costs than domiciled, socioeconomically disadvantaged individuals.2–5 A primary cause of these disparities is that smoking prevalence among homeless individuals (70% of whom smoke)6–8 is twice as high as that among those living in poverty (34.7% of whom smoke9). Numerous studies have indicated that many variables typical of low socioeconomic status (SES) and homelessness (e.g., low education, low income, high financial strain, unemployment) are associated with a reduced likelihood of smoking cessation.10–13 However, few studies have specifically examined psychosocial and smoking characteristics of homeless smokers. The purpose of the current study was to compare homeless smokers with domiciled, socioeconomically disadvantaged smokers to highlight additional obstacles specific to homeless smokers that may need to be addressed during smoking cessation interventions.

METHODS

Participants included in the current analyses were recruited into 1 of 2 studies at tobacco cessation clinics in the Dallas, Texas, metropolitan area between August 2011 and November 2012. Inclusion criteria were being aged 18 years or older, a reading level higher than 6th grade (assessed via the Rapid Estimate of Adult Literacy in Medicine),14 smoking 5 cigarettes or more per day, carbon monoxide level of 8 parts per million or more at baseline, willing to quit smoking within 7 days, and ability to attend 6 weekly assessment sessions. The domiciled sample was recruited from a Dallas safety-net hospital smoking cessation clinic and the homeless sample was recruited from the smoking cessation clinic at a Dallas homeless shelter. In the homeless sample, only those who resided in the transitional shelter were eligible.

All participants completed measures of sociodemographic and smoking characteristics (Table 1). In addition, participants completed measures of subjective social status,15 nicotine dependence,16 affect and perceived stress,17,18 mental health,19–21 negative experiences or exposure to threat or harm,22–25 interpersonal resources,26–30 and self-efficacy or motivation for smoking cessation (Table 2; Castro et al., unpublished data, 2012).31 We conducted analyses of group differences (i.e., homeless vs domiciled samples) using χ2 or analysis of variance.

TABLE 1—

Demographic and Smoking Characteristics of the Sample Participants: Dallas, TX, August 2011–November 2012

Characteristic Homeless Smokers (n = 57), Mean (SD) or % Domiciled Smokers (n = 110), Mean (SD) or % P
Demographic
 Age, y 50.0 (7.7) 52.6 (7.2) .03
 Gender, male 66.7 43.6 .005
 Race, Black 55.4 65.5 .205
 Married or partnered 35.1 55.5 .013
 Education, y 12.4 (2.0) 12.1 (1.9) .258
 Reading level14 61.9 (4.9) 60.8 (5.8) .229
 Employed at least part time 5.3 17.3 .03
 Family income < $12 000/y 96.3 58.3 < .001
 Not insured, % yes 87.7 55.5 < .001
 Community social status ladder15 4.3 (2.5) 5.6 (2.2) .001
 US social status ladder15 3.3 (2.3) 4.3 (2.0) .005
Smoking
 Cigarettes/d 18.3 (10.5) 17.0 (8.5) .375
 Years smoking 29.3 (10.7) 31.6 (9.5) .161
 Lifetime quit attempts lasting at least 24 h 4.2 (3.3) 4.1 (3.3) .772
 No. of smokers exposed to each d 42.9 (29.1) 3.5 (4.1) < .001
 Heaviness of Smoking Index16 2.9 (1.5) 3.1 (1.2) .401

TABLE 2—

Comparison of Homeless and Domiciled Smoker Samples: Dallas, TX; August 2011–November 2012

Variable Homeless Smokers (n = 57), Mean (SD) or % Domiciled Smokers (n = 110), Mean (SD) or % P
Affect and perceived stress
PANAS—Negative Affect17 18.0 (6.6) 19.5 (8.0) .233
PANAS—Positive Affect17 31.2 (10.5) 29.2 (9.4) .22
Perceived Stress Scale18 6.1 (3.4) 6.3 (3.3) .618
Mental health
PHQ Alcohol Dependence20 17.5 17.3 .965
Depression diagnosis history 80.7 50.9 <.001
BRFSS no. of days with mental health problems21 11.5 (10.5) 8.0 (9.8) .035
CES–D,9 15.7 (10.3) 16.0 (11.1) .879
Negative experiences and exposure to threat or harm
Detroit Discrimination Scale25 31.5 (13.4) 19.5 (10.0) <.001
Urban Life Stress Scale24 48.4 (11.1) 43.2 (11.8) .006
Social Cohesion and Trust Scale23 14.2 (2.3) 15.6 (2.7) .001
Fear Scale22 1.7 (0.8) 1.5 (0.6) .027
Mistrust Scale22 1.9 (0.7) 1.6 (0.6) .002
Reserve capacity
Loneliness28 5.3 (2.0) 5.2 (1.9) .713
General Self-Efficacy Scale26 34.1 (6.1) 33.8 (5.8) .738
Revised Life Orientation Test30 13.8 (4.4) 14.5 (4.1) .362
ISEL27
 Appraisal scale 12.4 (3.1) 12.5 (2.9) .87
 Belonging scale 12.5 (2.9) 12.2 (3.1) .523
 Tangible support scale 12.3 (3.0) 12.3 (3.0) .077
Lubben Social Network Scale29 12.1 (7.3) 13.7 (6.3) .122
Self-efficacy/motivation for quitting
Self-efficacy and motivation for quitting: TSAMS Motivation for Quittinga 20.9 (4.4) 22.2 (3.9) .047
Self-efficacy for quitting31
 Positive affect and social situations 2.2 (0.9) 2.7 (0.8) <.001
 Negative affect situations 2.1 (0.9) 2.3 (0.9) .069
 Habit and craving situations 2.3 (0.9) 2.8 (0.8) .001

Note. BRFSS = Behavioral Risk Factor Surveillance System; CES-D = Center for Epidemiological Studies—Depression scale; ISEL = Interpersonal Support Evaluation List; PANAS = Positive and Negative Affect Schedule; PHQ = Patient Health Questionnaire; TSAMS = Texas Smoking Abstinence Motivation Scale.

a

Castro et al., unpublished data, 2012.

RESULTS

Homeless participants (n = 57) were more likely to be male, younger, single, uninsured, and unemployed than domiciled participants (n = 110; Table 1). In addition, domiciled smokers placed themselves on higher rungs of the community and US subjective social status ladders.15 Although smoking characteristics were similar across samples, homeless smokers reported daily exposure to substantially more smokers than did domiciled smokers (Table 1).

The homeless and domiciled samples were similar on measures of recent affect, current symptoms of depression, perceived stress, and alcohol abuse (Table 2). However, the homeless sample reported more recent days with mental health problems, greater depression diagnosis prevalence, higher levels of discrimination, higher scores on the Urban Life Stress Scale, more fear, more mistrust of others, and lower social cohesion and trust than did the domiciled sample (Table 2). The sample groups scored similarly on measures of loneliness, general self-efficacy, dispositional optimism, social support, and social isolation (Table 2). Finally, the homeless sample was less motivated to quit smoking and reported lower confidence in maintaining abstinence than did the domiciled sample (Table 2).

DISCUSSION

Study results indicate that, compared with low-SES domiciled smokers, homeless smokers may have more mental health problems, be surrounded by more smokers, be exposed to substantially more stressors and discrimination, and have lower motivation and self-efficacy for quitting. Each of these variables may play a role in the extremely high prevalence of smoking among homeless individuals and the low smoking cessation rate in this population. These differences may suggest that homeless smokers seeking treatment may not respond to cessation interventions specifically developed for domiciled low-SES smokers. Study findings also demonstrate that homeless smokers possess psychosocial resources comparable to those of socioeconomically disadvantaged domiciled smokers. Thus, homeless individuals may have effective coping mechanisms that may be used to increase successful smoking cessation if tapped in novel smoking cessation interventions.

Findings highlight many variables that may be targeted in future cessation programs specifically tailored to the needs of homeless smokers, and results may be used to support changes in tobacco use policies at shelters. For example, creating smoke-free zones or disallowing smoking altogether on shelter grounds may reduce continued exposure to other smokers, thus addressing a known barrier to successful smoking cessation.32,33 This policy is consistent with recommendations from the Break Free Alliance Expert Panel.34

Study limitations include the use of small regional samples seeking cessation treatment, which may limit generalizability and analysis power, reliance on self-report, and our comparison of 2 different populations of smokers. Although these limitations are significant, we believe that this type of comparison is warranted because of the dearth of knowledge regarding the potential causes for the high smoking prevalence and the low smoking cessation rate among homeless individuals. Novel smoking cessation interventions that address specific barriers experienced by homeless smokers should be developed. These tailored interventions may have an enormous impact on the health and life expectancy of this underserved and vulnerable population.

Acknowledgments

Funding for this research was provided by the University of Texas School of Public Health. Data analysis and article preparation were additionally supported by grants from the American Cancer Society to M. S. Businelle (MRSGT-12-114-01-CPPB) and D. E. Kendzor (MRSGT-10-104-01-CPHPS).

We thank the staffs at the Bridge Homeless Assistance Center and Parkland Health and Hospital System, Dallas, TX, for their work and support throughout the data collection portion of this project. In addition, we thank Jay Dunn (Bridge CEO) and Neil Phillips (Bridge smoking cessation program coordinator and counselor) for their efforts that enabled this research.

Human Participant Protection

This study was approved by the institutional review boards at the University of Texas School of Public Health and the University of Texas Southwestern Medical Center.

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