Abstract
Introduction:
Cigarette smoking and traumatic life experiences are each common among homeless adults, but the prevalence and correlates of posttraumatic stress disorder (PTSD) symptoms among homeless smokers are not known. We assessed symptoms of PTSD and their association with smoking outcome expectancies in a sample of homeless smokers in Boston.
Methods:
We used time-location sampling to conduct an in-person survey of homeless adult smokers using Boston Health Care for the Homeless Program clinical services. We assessed symptoms of PTSD with the PTSD Checklist—Civilian version and considered scores at least 14 as positive. We used the Smoking Effects Questionnaire to assess positive and negative smoking outcome expectancies. We modeled the associations between PTSD screening status and smoking expectancies using design-adjusted linear regression.
Results:
Eighty-six percent of eligible individuals participated (N = 306). Sixty-eight percent of participants screened positive for PTSD. Screen-positive respondents were younger (P = .001), more likely to report fair/poor health (P = .01), chronic obstructive pulmonary disease (P = .02), and past-month hallucinations (P = .004), and had greater drug (P < .001) and alcohol (P < .001) use severity and cigarette dependence (P = .002). In analyses controlling for these confounders, PTSD screen-positive participants more strongly endorsed smoking to reduce negative affect (P = .01), smoking for social benefits (P = .002), and smoking for weight control (P = .03). Exploratory analyses suggested that these associations were driven by avoidance/numbing and re-experiencing symptoms.
Conclusions:
Symptoms of posttraumatic stress are common among homeless smokers and strongly associated with positive smoking outcome expectancies. Tobacco cessation programs for this population should consider screening for PTSD and fostering a trauma-sensitive treatment environment.
Implications:
In this study of homeless cigarette smokers in Boston, over two-thirds of participants screened positive for PTSD. PTSD screen-positive respondents more strongly endorsed multiple positive smoking outcome expectancies than screen-negative individuals. These findings suggest that the psychological sequelae of trauma may be a pervasive but under-recognized factor impacting the persistence of smoking among homeless people. Tobacco cessation programs for this population should consider screening for PTSD, fostering a trauma-sensitive treatment environment, and incorporating strategies that have shown promise in smokers with PTSD.
Introduction
An estimated 68%–80% of homeless adults are current cigarette smokers.1–6 Traumatic life experiences7,8 and posttraumatic stress disorder (PTSD)9–13 are common among homeless people, but no studies have examined the role of PTSD in sustaining smoking behavior in this population.
In non-homeless populations, people with PTSD have a higher prevalence of smoking, smoke more heavily, and have more difficulty quitting than individuals without PTSD.14,15 Smokers with PTSD may also differ from other smokers in their smoking outcome expectancies, or beliefs about the consequences of their smoking. Expectations for smoking to reduce negative affect appear particularly important for smokers with PTSD,15–21 and PTSD symptoms have also been linked with smoking expectancies for social facilitation and stimulation.20,22
These observations raise the question of whether trauma and its psychological sequelae could be under-recognized factors promoting the persistence of smoking among homeless people. If symptoms of PTSD are common among homeless smokers and associated with more positive smoking expectancies, then this might have important implications for the design and conduct of smoking cessation interventions targeting this population. To address this question, we (1) assessed the burden of posttraumatic stress symptoms among homeless smokers, (2) compared the sociodemographic, health, and tobacco use characteristics of PTSD screen-positive and screen-negative homeless smokers, and (3) assessed the association between PTSD screening status and smoking outcome expectancies among homeless smokers.
Methods
Participants and Setting
In April–July, 2014, we used time-location sampling23,24 to conduct an in-person survey of 306 homeless adult smokers using Boston Health Care for the Homeless Program clinical services. Boston Health Care for the Homeless Program serves more than 11 000 individuals annually through a network of service sites based in emergency shelters, transitional housing facilities, hospitals, and other social service settings in greater Boston.25,26 For efficiency, we constrained our sampling frame to five clinical sites that account for 64% of the annual patient care volume at Boston Health Care for the Homeless Program. At each site, we randomly sampled half-day clinic sessions, which comprised the primary sampling units. During randomly sampled clinic sessions, interviewers consecutively approached patients after their clinic visit to screen them for eligibility.
Eligibility criteria included self-reported English proficiency, age at least 18 years, current cigarette smoking (≥100 cigarettes lifetime and currently smoking some days or every day27), and current homelessness. Consistent with the US federal definition28 and identical to definitions used in other surveys of homeless people,29,30 we defined current homelessness as usually sleeping in an emergency or transitional shelter, a church, an abandoned building, a place of business, a vehicle, anywhere outside, or a hotel or motel in the past 7 days or, if currently staying in an inpatient or residential treatment facility, in the 7 days prior to admission to that facility. We also included individuals who were doubling-up with others in the past 7 days because of not having a place of their own.29–31
After obtaining informed consent, one of seven trained interviewers verbally administered the 159-item questionnaire in a private area using an electronic tablet. We compensated participants $20 in cash for completing the questionnaire.32–34 The study was approved by the Partners Human Research Committee.
Measures
Sociodemographics
Demographic variables included age, gender, self-reported race and ethnicity, educational attainment, and military service history.
Homelessness History
We asked the age that participants first experienced homelessness, the number of times they had been homeless, and the duration of the current homeless episode.
Traumatic Life Experiences
We asked participants whether they had ever been physically or sexually assaulted. We assessed traumatic head injury with an item developed for use in a county jail population35 and used in prior studies of homeless individuals.29
Physical Health
We assessed self-reported general health status, chronic obstructive pulmonary disease, and cardiovascular disease.
Behavioral Health
We assessed past 30-day drug use severity, alcohol use severity, and psychiatric severity with the Addiction Severity Index (ASI)—Fifth Edition,36 which has been validated in homeless populations.37–39
Tobacco Use
We assessed daily cigarette consumption and cigarette dependence using the Fagerstrom Test of Nicotine Dependence.40 To gauge the social aspects of smoking, we asked participants how many of their five closest associates smoke cigarettes41 and how many times they are offered a cigarette during a typical day.42
PTSD Screening
We assessed symptoms of PTSD using the six-item short-form of the 17-item PTSD Checklist—Civilian version (PCL-C),43–45 whose psychometric properties are detailed elsewhere.46–48 Anchored on “a stressful experience from the past,” the PCL-C assesses the extent (1 = not at all, 5 = extremely) to which an individual has been bothered in the past 30 days by symptoms corresponding to those delineated in the Diagnostic and Statistical Manual of Mental Disorders—Fourth Edition, Text Revision, criteria for PTSD.49 The six-item PCL-C was developed for a primary care setting and explains 92%–94% of the variance in the full 17-item version.43 We considered individuals with scores at least 14 as PTSD screen-positive.43 At this cutoff value, the six-item PCL-C had a sensitivity of 0.92 and a specificity of 0.72 for identifying PTSD in a diverse primary care sample.43 We did not have adequate information to establish a formal diagnosis of PTSD.
Smoking Outcome Expectancies
We assessed smoking outcome expectancies with the 33-item Smoking Effects Questionnaire.50 The Smoking Effects Questionnaire assesses both positive and negative expectancies. Positive expectancies include smoking for (1) reduction of negative affect, (2) stimulation, (3) positive social effects, and (4) weight control. Negative expectancies include concerns about (1) negative physical effects, (2) negative psychosocial effects, and (3) future health problems related to smoking. Each expectancy domain is assessed with four or five statements (eg, “Smoking helps me when I am bored.”) that participants are asked to endorse (“true”) or refute (“false”). We used the frequency scoring approach by summing the number of “true” items within each expectancy scale.50
Statistical Analysis
We compared the sociodemographic characteristics, homelessness histories, physical health conditions, drug and alcohol use severities, psychiatric severity, tobacco use characteristics, and smoking outcome expectancies of PTSD screen-positive and screen-negative participants using the Rao-Scott Chi-square test for categorical data and the Wald F test for continuous data.
We then assessed the association between PTSD screening status (independent variable) and each smoking outcome expectancy domain (dependent variables) using multiple linear regression models adjusting for age, gender, race/ethnicity, self-reported general health status, self-reported chronic obstructive pulmonary disease, past-month hallucinations, alcohol use severity, drug use severity, and cigarette dependence, all selected based on prior hypotheses and bivariate testing. We calculated standardized regression coefficients (B) to facilitate effect size comparisons among variables with differing scales.
We did not control for ASI-derived psychiatric severity in the regression models because the ASI psychiatric module contains items assessing symptoms that overlap directly with those assessed in the PCL-C (eg, “difficulty concentrating”), are prominent features of PTSD (eg, “serious anxiety or tension”), and frequently co-occur with PTSD (eg, “serious depression”), creating a problem with collinearity. Since individuals with psychotic disorders may have distinct smoking outcome expectancy patterns51 and may also have a high burden of trauma and PTSD,52–55 we used past-30 day hallucinations from the ASI as a proxy for psychosis in the multivariable models. We explored whether gender modified the effect of PTSD on outcome expectancies by including an interaction term in the multivariable models; in all cases, this term was nonsignificant and therefore removed from the final models.
Our primary analyses treated PTSD screening status as a binary indicator variable since this approach is likely to be most applicable to clinical settings. In supplemental analyses (Supplementary Material), we explored the associations between smoking outcome expectancies and PCL-C symptom cluster subscores to better understand which PTSD symptoms may be driving the observed associations. Additionally, we repeated all outcome expectancy analyses substituting the ASI psychiatric severity score in place of the PTSD variables to assess whether the associations identified for PTSD were similar to those for nonspecific psychiatric symptoms.
We used the survey procedures in SAS version 9.4 (SAS Institute, Cary, NC) to account for the sampling design of the study.
Results
Of 876 individuals approached by interviewers, 726 (83%) completed the eligibility screener. Of 357 eligible individuals, 306 (86%) consented to participate. The demographic characteristics of respondents are shown in Table 1.
Table 1.
Characteristics of Participants, Overall and by PTSD Screening Status
| All N = 306 | PTSD screen (+) N = 203 | PTSD screen (−) N = 95 | P | |
|---|---|---|---|---|
| Demographics | ||||
| Age, years, mean (SD) | 47.6 (10.0) | 46.3 (10.0) | 50.4 (9.6) | .001 |
| Gender, N (%) | ||||
| Male | 228 (74.8) | 147 (72.4) | 76 (80.0) | .21 |
| Female | 72 (23.6) | 53 (26.1) | 18 (18.9) | |
| Transgender | 5 (1.6) | 3 (1.5) | 1 (1.1) | |
| Race/ethnicity, N (%) | ||||
| White non-Hispanic | 108 (35.5) | 68 (33.7) | 39 (41.1) | .29 |
| Black non-Hispanic | 124 (40.8) | 82 (40.6) | 38 (40.0) | |
| Other non-Hispanic | 16 (5.3) | 13 (6.4) | 2 (2.1) | |
| Hispanic | 56 (18.4) | 39 (19.3) | 16 (16.8) | |
| High school graduate, N (%) | 211 (69.2) | 138 (68.0) | 70 (73.7) | .25 |
| Military veteran, N (%) | 23 (7.6) | 15 (7.4) | 8 (8.5) | .72 |
| Homelessness characteristics | ||||
| Past-week sleeping arrangement, N (%) | ||||
| Shelter | 219 (71.6) | 143 (70.4) | 70 (73.7) | .36 |
| Rougha | 50 (16.3) | 37 (18.2) | 12 (12.6) | |
| Doubled-up | 37 (12.1) | 23 (11.3) | 13 (13.7) | |
| Length of current episode, years, mean (SD) | 5.4 (7.4) | 5.2 (7.2) | 5.7 (7.1) | .50 |
| Lifetime homeless episodes, mean (SD) | 4.1 (6.5) | 4.3 (6.5) | 3.6 (6.7) | .46 |
| Age first homeless, years, mean (SD) | 30.8 (13.3) | 29.3 (12.5) | 34.3 (14.3) | .01 |
| Traumatic experiences | ||||
| Traumatic head injury, lifetime, N (%) | 196 (65.3) | 142 (70.0) | 54 (56.8) | .03 |
| Physically assaulted, lifetime, N (%) | 242 (80.7) | 173 (85.2) | 69 (72.6) | .02 |
| Sexually assaulted, lifetime, N (%) | 78 (26.0) | 62 (30.5) | 16 (16.8) | .01 |
| Physical health | ||||
| Fair or poor health status, N (%) | 150 (49.7) | 110 (54.2) | 38 (40.0) | .01 |
| COPD, N (%) | 74 (24.5) | 57 (28.1) | 16 (16.8) | .02 |
| Cardiovascular disease, N (%) | 34 (11.3) | 24 (11.8) | 9 (9.5) | .53 |
| Behavioral health | ||||
| Drug use severity (0–1), mean (SD)b | 0.13 (0.12) | 0.15 (0.12) | 0.08 (0.09) | <.001 |
| Alcohol use severity (0–1), mean (SD)b | 0.22 (0.25) | 0.26 (0.26) | 0.14 (0.20) | <.001 |
| Psychiatric severity (0–1), mean (SD)b | 0.42 (0.24) | 0.51 (0.20) | 0.23 (0.20) | <.001 |
| Hallucinations, past month, N (%)b | 43 (14.3) | 38 (18.7) | 5 (5.3) | .004 |
| Tobacco use | ||||
| Cigarettes per day, mean (SD) | 12.5 (8.3) | 12.5 (7.8) | 11.9 (8.0) | .51 |
| Cigarette dependence (0–10), mean (SD)c | 4.4 (2.3) | 4.7 (2.2) | 3.9 (2.1) | .002 |
| All five closest peers smoke, N (%) | 155 (51.3) | 113 (55.9) | 41 (43.2) | .04 |
| Offered cigarette ≥once/d, N (%) | 147 (48.5) | 110 (54.2) | 35 (36.8) | .03 |
COPD = chronic obstructive pulmonary disease; PTSD = posttraumatic stress disorder.
aSleeping “rough” denotes any arrangement where a person sleeps outside or in a place not intended for human habitation (eg, car or abandoned building).56
bBased on the Addiction Severity Index—Fifth Edition.36
cBased on the Fagerstrom Test of Nicotine Dependence.40
Posttraumatic Stress
The mean PCL-C score was 17.3. Sixty-eight percent of participants (N = 203) screened positive for PTSD. In comparison to PTSD screen-negative participants, screen-positive participants were younger, experienced their first episode of homelessness at an earlier age, had higher lifetime prevalences of traumatic head injury, physical assault, and sexual assault, and had greater drug use severity, alcohol use severity, and psychiatric severity (Table 1).
Tobacco Use Characteristics
Despite smoking a similar number of cigarettes each day, screen-positive respondents had significantly higher cigarette dependence scores than screen-negative respondents (Table 1). PTSD screen-positive participants were also more likely to report that all five of their closest peers were smokers and to be offered a cigarette at least once a day.
Smoking Outcome Expectancies
Positive Outcome Expectancies
In fully-adjusted analyses, screening positive for PTSD was significantly associated with smoking to reduce negative affect, smoking for positive social effects, and smoking for weight control (Table 2). Cigarette dependence was strongly correlated with several positive expectancies.
Table 2.
Association Between PTSD Screening Status and Smoking Outcome Expectancies, Adjusted for Displayed Covariates Using Multiple Linear Regression
| Positive outcome expectanciesa | Negative outcome expectanciesa | ||||||
|---|---|---|---|---|---|---|---|
| Reduce negative affect | Positive social | Stimulation | Weight control | Negative psychosocial | Negative physical health | Future health concerns | |
| Main independent variable | |||||||
| PTSD screen-positiveb | B = 0.20 | B = 0.23 | B = 0.08 | B = 0.12 | B = −0.04 | B = 0.07 | B = 0.10 |
| P = .01 | P = .002 | P = .23 | P = .03 | P = .56 | P = .27 | P = .12 | |
| Model covariates | |||||||
| Age | B = −0.06 | B = −0.01 | B = −0.002 | B = −0.06 | B = 0.04 | B = 0.03 | B = −0.02 |
| P = .16 | P = .90 | P = .97 | P = .32 | P = .45 | P = .56 | P = .73 | |
| Male | B = −0.04 | B = 0.02 | B = −0.02 | B = 0.07 | B = 0.10 | B = 0.13 | B = 0.14 |
| P = .38 | P = .77 | P = .59 | P = .19 | P = .12 | P = .02 | P = .09 | |
| Race/ethnicityc | |||||||
| Black non-Hispanic | B = −0.01 | B = 0.10 | B = 0.14 | B = 0.03 | B = −0.20 | B = 0.07 | B = −0.03 |
| P = .93 | P = .12 | P = .06 | P = .70 | P = .03 | P = .32 | P = .70 | |
| Other non-Hispanic | B = −0.08 | B = −0.06 | B = 0.06 | B = −0.01 | B = −0.02 | B = 0.05 | B = −0.01 |
| P = .22 | P = .43 | P = .16 | P = .87 | P = .66 | P = .29 | P = .81 | |
| Hispanic | B = −0.01 | B = 0.05 | B = 0.14 | B = 0.09 | B = −0.11 | B = −0.02 | B = −0.04 |
| P = .83 | P = .40 | P = .05 | P = .19 | P = .20 | P = .75 | P = .60 | |
| Fair or poor health | B = 0.08 | B = −0.07 | B = 0.02 | B = 0.04 | B = 0.22 | B = 0.19 | B = 0.11 |
| P = .11 | P = .38 | P = .75 | P = .50 | P = .001 | P = .001 | P = .17 | |
| COPD | B = −0.02 | B = 0.08 | B = 0.04 | B = 0.09 | B = −0.09 | B = 0.10 | B = −0.01 |
| P = .82 | P = .22 | P = .48 | P = .15 | P = .25 | P = .14 | P = .89 | |
| Hallucinations, past month | B = −0.04 | B = −0.005 | B = 0.001 | B = 0.11 | B = 0.05 | B = 0.11 | B = −0.01 |
| P = .47 | P = .91 | P = .99 | P = .13 | P = .45 | P = .04 | P = .83 | |
| Drug use severityd | B = 0.05 | B = 0.01 | B = −0.04 | B = 0.11 | B = 0.11 | B = 0.08 | B = 0.06 |
| P = .07 | P = .83 | P = .53 | P = .09 | P = .10 | P = .04 | P = .37 | |
| Alcohol use severityd | B = 0.04 | B = 0.07 | B = 0.11 | B = 0.10 | B = 0.15 | B = 0.09 | B = 0.05 |
| P = .33 | P = .32 | P = .07 | P = .17 | P = .01 | P = .10 | P = .53 | |
| Cigarette dependencee | B = 0.29 | B = 0.24 | B = 0.28 | B = 0.08 | B = 0.10 | B = 0.09 | B = −0.06 |
| P < .001 | P = .001 | P < .001 | P = .29 | P = .11 | P = .16 | P = .34 | |
COPD = chronic obstructive pulmonary disease; PTSD = posttraumatic stress disorder. The table displays standardized regression coefficients (B) obtained using linear regression to fit a multivariable model for each outcome expectancy.
aPositive and negative outcome expectancies were assessed with the 33-item Smoking Effects Questionnaire.50
bPTSD screening status was based on the six-item PTSD Checklist—Civilian version, using a cutoff score of ≥14.43 Individuals with scores <14 were the reference group.
cWhite non-Hispanic is the reference group.
dBased on the Addiction Severity Index—Fifth Edition drug and alcohol use composite scores.36
eBased on the Fagerstrom Test of Nicotine Dependence.40
Negative Outcome Expectancies
In fully-adjusted analyses, PTSD screening status was not significantly associated with negative outcome expectancies. Fair/poor general health status was strongly correlated with negative psychosocial and physical health expectancies.
Supplemental Analyses
In multivariable analyses focusing on PCL-C symptom cluster subscores, avoidance/numbing and re-experiencing showed the strongest associations with positive outcome expectancies (Supplementary Material). Multiple regression analyses of the associations between ASI psychiatric severity and outcome expectancies were significant only for smoking to reduce negative affect (B = 0.17, P = .04).
Discussion
The burden of trauma and posttraumatic stress symptoms was high in this clinic-based sample of homeless smokers in Boston. In analyses adjusted for multiple confounders, participants who screened positive for PTSD more strongly endorsed multiple positive outcome expectancies for smoking than screen-negative individuals. These findings suggest that the psychological sequelae of trauma may be a pervasive but under-recognized factor impacting the persistence of smoking among homeless people.
Our study results extend the body of evidence documenting an association between PTSD symptoms and smoking to reduce negative affect,15–21 highlighting the potential role of emotion regulation skills in homeless smokers with symptoms of PTSD. Consistent with another study,20 PTSD screen-positive respondents more strongly endorsed positive social expectancies related to smoking, and they were also more likely to report that all of their peers are smokers and that they are offered a cigarette at least once per day. This suggests that the social aspects of smoking may be uniquely important for homeless smokers with symptoms of PTSD and that treatment programs should consider group-oriented or peer-based approaches in addition to environmental interventions (eg, shelter smoking restrictions) to reshape social norms around smoking in this population.
Limitations
Our focus on a sample of homeless smokers seeking clinical care limits the generalizability of our findings and likely overestimates the burden of posttraumatic stress symptoms among homeless people at-large, although it may approximate what clinicians serving this population are likely to encounter in practice. The cross-sectional, self-reported nature of the data introduces the possibility of reporting bias or unmeasured confounding and precludes a causal interpretation of our findings. Although we were unable to establish a diagnosis of PTSD, our findings were generally concordant with other studies that used formal diagnostic criteria in examining the association between PTSD and smoking expectancies.19,20 Additionally, the lack of similar associations between the ASI psychiatric severity score and outcome expectancies suggests that the PCL-C was likely tapping a distinct domain of trauma-related symptoms.
Conclusions
Symptoms of posttraumatic stress are common among homeless smokers and strongly associated with positive smoking outcome expectancies. These findings suggest that smoking cessation programs for homeless smokers should incorporate PTSD screening, be sensitive to the needs and vulnerabilities of trauma survivors, and incorporate behavioral counseling approaches that attempt to identify and address the potential linkages between posttraumatic stress symptoms and smoking behavior in a fashion that emphasizes autonomy and control.57 In some cases, homeless smokers with particularly severe symptoms of PTSD may first require trauma-focused treatment and stabilization. Intervention strategies that have shown promise in smokers with PTSD58 may merit testing in this population.
Supplementary Material
Supplementary Material can be found online at http://www.ntr.oxfordjournals.org
Funding
This study was funded by the National Institute on Drug Abuse at the National Institutes of Health under award number K23DA034008 to TPB. The funding agency had no role in any aspect of this study. The study content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Declaration of Interests
TPB receives royalties from UpToDate for authorship of a topic review on the health care of homeless persons. NAR receives royalties from UpToDate for authorship of topic reviews on smoking cessation, and has received a smoking cessation medical education grant and travel reimbursement from Pfizer.
Supplementary Material
Acknowledgments
We thank Awesta Yaqubi, Manaswi Sangraula, Sally Engelhart, Jessica Hoy, Emely Santiago, and Casey Leon for administering the survey questionnaires and collecting the data. We thank the staff and patients of Boston Health Care for the Homeless Program. TPB conceived the study, designed the sampling plan, supervised the data collection, analyzed the data, interpreted the findings, and led the writing of the manuscript. EGC designed the sampling plan, supervised the data collection, and interpreted the findings. YC designed the sampling plan, analyzed the data, and interpreted the findings. LMM collected the data and performed the literature review that informed the analytic objectives of the study and the writing of the article. NAR conceived the study and interpreted the findings. All authors critically reviewed the manuscript for important intellectual contributions and approved the final version.
References
- 1. Baggett TP, Rigotti NA. Cigarette smoking and advice to quit in a national sample of homeless adults. Am J Prev Med. 2010;39(2):164–172. doi:10.1016/j.amepre.2010.03.024. [DOI] [PubMed] [Google Scholar]
- 2. Connor SE, Cook RL, Herbert MI, Neal SM, Williams JT. Smoking cessation in a homeless population: there is a will, but is there a way? J Gen Intern Med. 2002;17(5):369–372. doi:10.1046/j.1525-1497.2002.10630.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Snyder LD, Eisner MD. Obstructive lung disease among the urban homeless. Chest. 2004;125(5):1719–1725. [DOI] [PubMed] [Google Scholar]
- 4. Szerlip MI, Szerlip HM. Identification of cardiovascular risk factors in homeless adults. Am J Med Sci. 2002;324(5):243–246. [DOI] [PubMed] [Google Scholar]
- 5. Tsai J, Rosenheck RA. Smoking among chronically homeless adults: prevalence and correlates. Psychiatr Serv. 2012;63(6):569–576. doi:10.1176/appi.ps.201100398. [DOI] [PubMed] [Google Scholar]
- 6. Chau S, Chin M, Chang J, et al. Cancer risk behaviors and screening rates among homeless adults in Los Angeles County. Cancer Epidemiol Biomarkers Prev. 2002;11(5):431–438. [PubMed] [Google Scholar]
- 7. Kushel MB, Evans JL, Perry S, Robertson MJ, Moss AR. No door to lock: victimization among homeless and marginally housed persons. Arch Intern Med. 2003;163(20):2492–2499. doi:10.1001/archinte.163.20.2492. [DOI] [PubMed] [Google Scholar]
- 8. Meinbresse M, Brinkley-Rubinstein L, Grassette A, et al. Exploring the experiences of violence among individuals who are homeless using a consumer-led approach. Violence Vict. 2014;29(1):122–136. doi:10.1891/0886-6708.VV-D-12-00069. [DOI] [PubMed] [Google Scholar]
- 9. Taylor KM, Sharpe L. Trauma and post-traumatic stress disorder among homeless adults in Sydney. Aust N Z J Psychiatry. 2008;42(3):206–213. doi:10.1080/00048670701827218. [DOI] [PubMed] [Google Scholar]
- 10. Bender K, Ferguson K, Thompson S, Komlo C, Pollio D. Factors associated with trauma and posttraumatic stress disorder among homeless youth in three U.S. cities: the importance of transience. J Trauma Stress. 2010;23(1):161–168. doi:10.1002/jts.20501. [DOI] [PubMed] [Google Scholar]
- 11. Torchalla I, Strehlau V, Li K, Aube Linden I, Noel F, Krausz M. Posttraumatic stress disorder and substance use disorder comorbidity in homeless adults: Prevalence, correlates, and sex differences. Psychol Addict Behav. 2014;28(2):443–452. doi:10.1037/a0033674. [DOI] [PubMed] [Google Scholar]
- 12. Houston E, Sandfort TG, Watson KT, Caton CL. Psychological pathways from childhood sexual and physical abuse to HIV/sexually transmitted infection outcomes among homeless women: the role of posttraumatic stress disorder and borderline personality disorder symptoms. J Health Psychol. 2012;18(10):1330–1340. doi:10.1177/1359105312464674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Carlson EB, Garvert DW, Macia KS, Ruzek JI, Burling TA. Traumatic stressor exposure and post-traumatic symptoms in homeless veterans. Mil Med. 2013;178(9):970–973. doi:10.7205/MILMED-D-13-00080. [DOI] [PubMed] [Google Scholar]
- 14. Fu SS, McFall M, Saxon AJ, et al. Post-traumatic stress disorder and smoking: a systematic review. Nicotine Tob Res. 2007;9(11):1071–1084. doi:10.1080/14622200701488418. [DOI] [PubMed] [Google Scholar]
- 15. Feldner MT, Babson KA, Zvolensky MJ. Smoking, traumatic event exposure, and post-traumatic stress: a critical review of the empirical literature. Clin Psychol Rev. 2007;27(1):14–45. doi:10.1016/j.cpr.2006.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Feldner MT, Babson KA, Zvolensky MJ, et al. Posttraumatic stress symptoms and smoking to reduce negative affect: an investigation of trauma-exposed daily smokers. Addict Behav. 2007;32(2):214–227. doi:10.1016/j.addbeh.2006.03.032. [DOI] [PubMed] [Google Scholar]
- 17. Beckham JC, Wiley MT, Miller SC, et al. Ad lib smoking in post-traumatic stress disorder: an electronic diary study. Nicotine Tob Res. 2008;10(7):1149–1157. doi:10.1080/14622200802123302. [DOI] [PubMed] [Google Scholar]
- 18. Carmody TP, McFall M, Saxon AJ, et al. Smoking outcome expectancies in military veteran smokers with posttraumatic stress disorder. Nicotine Tob Res. 2012;14(8):919–926. doi:10.1093/ntr/ntr304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Marshall EC, Zvolensky MJ, Vujanovic AA, Gibson LE, Gregor K, Bernstein A. Evaluation of smoking characteristics among community-recruited daily smokers with and without posttraumatic stress disorder and panic psychopathology. J Anxiety Disord. 2008;22(7):1214–1226. doi:10.1016/j.janxdis.2008.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Calhoun PS, Levin HF, Dedert EA, Johnson Y, Beckham JC. The relationship between posttraumatic stress disorder and smoking outcome expectancies among U.S. military veterans who served since September 11, 2001. J Trauma Stress. 2011;24(3):303–308. doi:10.1002/jts.20634. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hruska B, Bernier J, Kenner F, et al. Examining the relationships between posttraumatic stress disorder symptoms, positive smoking outcome expectancies, and cigarette smoking in people with substance use disorders: a multiple mediator model. Addict Behav. 2014;39(1):273–281. doi:10.1016/j.addbeh.2013.10.002. [DOI] [PubMed] [Google Scholar]
- 22. Ashare RL, Weinberger AH, McKee SA, Sullivan TP. The role of smoking expectancies in the relationship between PTSD symptoms and smoking behavior among women exposed to intimate partner violence. Addict Behav. 2011;36(12):1333–1336. doi:10.1016/j.addbeh.2011.07.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Raymond HF, Ick T, Grasso M, Vaudrey J, McFarland W. Resource Guide: Time Location Sampling. 2nd ed San Francisco, CA: San Francisco: Department of Public Health, HIV Epidemiology Section, Behavioral Surevillance Unit; 2010. [Google Scholar]
- 24. Muhib FB, Lin LS, Stueve A. et al. A venue-based method for sampling hard-to-reach populations. Public Health Rep. 2001;116(suppl 1):216–222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Boston Health Care for the Homeless Program 2010. www.bhchp.org Accessed September 18, 2015.
- 26. O’Connell JJ, Oppenheimer SC, Judge CM, et al. The Boston Health Care for the Homeless Program: a public health framework. Am J Public Health. 2010;100(8):1400–1408. doi:10.2105/AJPH.2009.173609. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Jamal A, Agaku IT, O’Connor E, King BA, Kenemer JB, Neff L. Current cigarette smoking among adults--United States, 2005–2013. MMWR Morb Mortal Wkly Rep. 2014;63(47):1108–1112. www.cdc.gov/mmwr/preview/mmwrhtml/mm6347a4.htm Accessed September 21, 2015. [PMC free article] [PubMed] [Google Scholar]
- 28. One hundred eleventh Congress of the United States of America. Sec. 1003. Definition of Homelessness. Homeless Emergency Assistance and Rapid Transition to Housing Act of 2009. S. 896, 34–35 2009. www.hudexchange.info/resource/1717/s-896-hearth-act/ Accessed September 21, 2015.
- 29. Hwang SW, Colantonio A, Chiu S, et al. The effect of traumatic brain injury on the health of homeless people. CMAJ. 2008;179(8):779–784. doi:10.1503/cmaj.080341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Grinman MN, Chiu S, Redelmeier DA, et al. Drug problems among homeless individuals in Toronto, Canada: prevalence, drugs of choice, and relation to health status. BMC Public Health. 2010;10:94. doi:10.1186/1471-2458-10-94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Bureau of Primary Health Care, Health Resources and Services Administration. Program Assistance Letter 99-12: Principles of Practice: A Clinical Resource Guide for Health Care for the Homeless Programs. U.S. Department of Health and Human Services; 1999. http://bphc.hrsa.gov/qualityimprovement/supportnetworks/specialpopulations/policies/pal199912.html Accessed September 21, 2015. [Google Scholar]
- 32. Kertesz SG, Hwang SW, Irwin J, Ritchey FJ, Lagory ME. Rising inability to obtain needed health care among homeless persons in Birmingham, Alabama (1995–2005). J Gen Intern Med. 2009;24(7):841–847. doi:10.1007/s11606-009-0990-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Lebrun-Harris LA, Baggett TP, Jenkins DM, et al. Health status and health care experiences among homeless patients in federally supported health centers: findings from the 2009 patient survey. Health Serv Res. 2013;48(3):992–1017. doi:10.1111/1475–6773.12009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Tucker JS, Shadel WG, Golinelli D, Ewing B. Alternative tobacco product use and smoking cessation among homeless youth in Los Angeles county. Nicotine Tob Res. 2014;16(11):1522–1526. doi:10.1093/ntr/ntu133. [DOI] [PubMed] [Google Scholar]
- 35. Slaughter B, Fann JR, Ehde D. Traumatic brain injury in a county jail population: prevalence, neuropsychological functioning and psychiatric disorders. Brain Inj. 2003;17(9):731–741. doi:10.1080/0269905031000088649. [DOI] [PubMed] [Google Scholar]
- 36. McLellan AT, Kushner H, Metzger D, et al. The Fifth Edition of the Addiction Severity Index. J Subst Abuse Treat. 1992;9(3):199–213. [DOI] [PubMed] [Google Scholar]
- 37. Zanis DA, McLellan AT, Cnaan RA, Randall M. Reliability and validity of the Addiction Severity Index with a homeless sample. J Subst Abuse Treat. 1994;11(6):541–548. doi:10.1016/0740-5472(94)90005-1. [DOI] [PubMed] [Google Scholar]
- 38. Argeriou M, McCarty D, Mulvey K, Daley M. Use of the Addiction Severity Index with homeless substance abusers. J Subst Abuse Treat. 1994;11(4):359–365. [DOI] [PubMed] [Google Scholar]
- 39. Drake RE, McHugo GJ, Biesanz JC. The test-retest reliability of standardized instruments among homeless persons with substance use disorders. J Stud Alcohol. 1995;56(2):161–167. doi:10.15288/jsa.1995.56.161. [DOI] [PubMed] [Google Scholar]
- 40. Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. Br J Addict. 1991;86(9):1119–1127. [DOI] [PubMed] [Google Scholar]
- 41. Okuyemi KS, Goldade K, Whembolua GL, et al. Smoking characteristics and comorbidities in the power to quit randomized clinical trial for homeless smokers. Nicotine Tob Res. 2013;15(1):22–28. doi:10.1093/ntr/nts030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Nierkens V, Stronks K, de Vries H. Attitudes, social influences and self-efficacy expectations across different motivational stages among immigrant smokers: replication of the O pattern. Prev Med. 2006;43(4):306–311. [DOI] [PubMed] [Google Scholar]
- 43. Lang AJ, Stein MB. An abbreviated PTSD checklist for use as a screening instrument in primary care. Behav Res Ther. 2005;43(5):585–594. doi:10.1016/j.brat.2004.04.005. [DOI] [PubMed] [Google Scholar]
- 44. Lang AJ, Wilkins K, Roy-Byrne PP, et al. Abbreviated PTSD Checklist (PCL) as a guide to clinical response. Gen Hosp Psychiatry. 2012;34(4):332–338. doi:10.1016/j.genhosppsych.2012.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Weathers FW, Litz BT, Herman D, Huska J, Keane T. The PTSD Checklist (PCL): Reliability, Validity, and Diagnostic Utility. Paper presented at: Annual Convention of the International Society for Traumatic Stress Studies; October 1993; San Antonio, TX. [Google Scholar]
- 46. Blanchard EB, Jones-Alexander J, Buckley TC, Forneris CA. Psychometric properties of the PTSD Checklist (PCL). Behav Res Ther. 1996;34(8):669–673. doi:10.1016/0005-7967(96)00033-2. [DOI] [PubMed] [Google Scholar]
- 47. Ruggiero KJ, Del Ben K, Scotti JR, Rabalais AE. Psychometric properties of the PTSD Checklist-Civilian Version. J Trauma Stress. 2003;16(5):495–502. doi:10.1023/A:1025714729117. [DOI] [PubMed] [Google Scholar]
- 48. Wilkins KC, Lang AJ, Norman SB. Synthesis of the psychometric properties of the PTSD checklist (PCL) military, civilian, and specific versions. Depress Anxiety. 2011;28(7):596–606. doi:10.1002/da.20837. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed, text revision. Washington, DC: American Psychiatric Association; 2000. [Google Scholar]
- 50. Rohsenow DJ, Abrams DB, Monti PM, Colby SM, Martin R, Niaura RS. The Smoking Effects Questionnaire for adult populations. Development and psychometric properties. Addict Behav. 2003;28(7):1257–1270. doi:10.1016/S0306-4603(02)00254-X. [DOI] [PubMed] [Google Scholar]
- 51. Tidey JW, Rohsenow DJ. Smoking expectancies and intention to quit in smokers with schizophrenia, schizoaffective disorder and non-psychiatric controls. Schizophr Res. 2009;115(2–3):310–316. doi:10.1016/j.schres.2009.09.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Morgan C, Fisher H. Environment and schizophrenia: environmental factors in schizophrenia: childhood trauma--a critical review. Schizophr Bull. 2007;33(1):3–10. doi:10.1093/schbul/sbl053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Buckley PF, Miller BJ, Lehrer DS, Castle DJ. Psychiatric comorbidities and schizophrenia. Schizophr Bull. 2009;35(2):383–402. doi:10.1093/schbul/sbn135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Achim AM, Maziade M, Raymond E, Olivier D, Merette C, Roy MA. How prevalent are anxiety disorders in schizophrenia? A meta-analysis and critical review on a significant association. Schizophr Bull. 2011;37(4):811–821. doi:10.1093/schbul/sbp148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Aakre JM, Brown CH, Benson KM, Drapalski AL, Gearon JS. Trauma exposure and PTSD in women with schizophrenia and coexisting substance use disorders: comparisons to women with severe depression and substance use disorders. Psychiatry Res. 2014;220(3):840–845. doi:10.1016/j.psychres.2014.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. U.K. Department for Communities and Local Government. Evaluating the Extent of Rough Sleeping: A New Approach. London, United Kingdom: Crown; 2010. [Google Scholar]
- 57. Hopper EK, Bassuk EL, Olivet J. Shelter from the storm: trauma-informed care in homelessness services settings. Open Health Serv Policy J. 2010;3:80–100. doi:10.2174/1874924001003010080. [Google Scholar]
- 58. McFall M, Saxon AJ, Malte CA, et al. Integrating tobacco cessation into mental health care for posttraumatic stress disorder: a randomized controlled trial. JAMA. 2010;304(22):2485–2493. doi:10.1001/jama.2010.1769. [DOI] [PMC free article] [PubMed] [Google Scholar]
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