Introduction
Annually, about 480,000 people in the US die from tobacco related illnesses (American Cancer Society, 2016; Centers for Disease Control and Prevention, 2016). Nationally, 15.1% of adults, 18 years and older, smoke cigarettes (Jamal et al., Reference Jamal, King, Neff, Whitmill, Babb and Graffunder2016); however, prevalence varies substantially by racial/ethnic sub-groups. Individuals self-identifying as non-Hispanic American Indians/Alaskan Natives have the highest smoking prevalence rate (21.9%), while Hispanics/Latinos and non-Hispanic Asians have the lowest (10.1% and 7.0%, respectively) (Jamal et al., Reference Jamal, Homa, O'Connor, Babb, Caraballo and Singh2015). However, within the US Hispanic/Latino population, smoking rates vary substantially by country of origin (Kaplan et al., Reference Kaplan, Bangdiwala, Barnhart, Castaneda, Gellman and Lee2014). For example, a US population-based longitudinal study (2008–2011) showed 35% of Puerto Rican men and 33% of Puerto Rican women were current smokers and 31% of Cuban men and 22% of Cuban women smoked (Kaplan et al., Reference Kaplan, Bangdiwala, Barnhart, Castaneda, Gellman and Lee2014). Puerto Rican and Cuban study participants were also the least likely to report successful quit attempts relative to other Hispanic/Latino subgroups (Merzel et al., Reference Merzel, Isasi, Strizich, Castaneda, Gellman and Maisonet Giachello2015).
In the US, Hispanics/Latinos are the second fastest growing population, thereby making smoking among Hispanics/Latinos a growing public health concern (Brown, June 26, Reference Brown2014; Martinez-Tyson, Pathak, Soler-Vila, & Flores, Reference Martinez-Tyson, Pathak, Soler-Vila and Flores2009; Webb, Rodriguez-Esquivel, & Baker, Reference Webb, Rodriguez-Esquivel and Baker2010). Further, relative to whites, Hispanics/Latinos are less likely to utilize nicotine replacement therapy (NRT), which can enhance quit rates by 50%–70% (Levinson, Perez-Stable, Espinoza, Flores, & Byers, Reference Levinson, Perez-Stable, Espinoza, Flores and Byers2004; Stead et al., Reference Stead, Perera, Bullen, Mant, Hartmann-Boyce and Cahill2012). US Hispanic/Latino geographic settlement patterns show Florida ranking first, second, and third in the nation for the largest numbers of Cubans, Puerto Ricans, and Dominicans, respectively (Ennis, Rios-Vargas, & Albert, Reference Ennis, Rios-Vargas and Albert2011). Additionally, in Florida Hispanics/Latinos are 22.5% of the state's population (Ennis et al., Reference Ennis, Rios-Vargas and Albert2011).
In Florida, many Hispanics/Latinos are employed in the construction sector (Caban-Martinez, Clarke, Davila, Fleming, & Lee, Reference Caban-Martinez, Clarke, Davila, Fleming and Lee2011). Historically, blue collar workers, particularly construction workers (CWs), have higher smoking rates (39%) than other occupational groups (Lee et al., October Reference Lee, Davila, LeBlanc, Caban-Martinez, Fleming and Christ2012; Lee, Fleming, Arheart et al., Reference Lee, Fleming, Arheart, LeBlanc, Caban and Chung-Bridges2007). Furthermore, CWs are exposed to occupational hazards and toxins, like carbon monoxide from gasoline powered equipment and other air pollutants/aerosols working to increase a worker's risk for lung cancer and respiratory illnesses (Dong, Chowdhury, McCann, Trahan, & Gittle-man, Reference Dong, Chowdhury, McCann, Trahan and Gittle-man2002; Driscoll, Steenland, Imel Nelson, & Leigh, Reference Driscoll, Steenland, Imel Nelson and Leigh2004; Driscoll, Steenland, Prüss-Ustun, Imel Nelson, & Leigh, Reference Driscoll, Steenland, Prüss-Ustun, Imel Nelson and Leigh2004). Data from a previous study in Miami-Dade County showed 91% of the construction workforce comprised Hispanic/Latino CWs; the study also showed over 54% of the workers were current smokers (Caban-Martinez, Clarke, Davila, Fleming, & Lee, Reference Caban-Martinez, Clarke, Davila, Fleming and Lee2011). CWs work mainly in outdoor areas where indoor smoking bans do not apply, are less likely to have health insurance, and are less likely to seek preventative healthcare services (Lee, Fleming, McCollister et al., Reference Lee, Fleming, McCollister, Caban, Arheart and LeBlanc2007). Cessation efforts are hindered by factors like high jobsite mobility/turnover, limited access to cessation services, and the absence of cessation interventions targeting culture and work circumstances (Caban-Martinez, Clarke, Davila, Fleming, Lee, Reference Caban-Martinez, Clarke, Davila, Fleming and Lee2011; Hawkins, Kreuter, Resnicow, Fishbein, Dijkstra, Reference Hawkins, Kreuter, Resnicow, Fishbein and Dijkstra2008; Resnicow, Soler, Braithwaite, Ahluwalia, & Butler, Reference Resnicow, Soler, Braithwaite, Ahluwalia and Butler2000; Sorensen, Barbeau, Hunt, Emmons, Reference Sorensen, Barbeau, Hunt and Emmons2004; Sorensen, Barbeau, Stoddard et al., Reference Sorensen, Barbeau, Stoddard, Hunt, Goldman and Smith2007).
One method to engage these smokers may be to partner with food trucks routinely visiting construction sites to support the delivery of a work-based smoking cessation intervention (see Caban-Martinez, Clarke, Davila, Fleming, & Lee, Reference Caban-Martinez, Clarke, Davila, Fleming and Lee2011). Food truck visits temporarily draw CWs to a single construction site location, making behavioural intervention recruitment more efficient. Food truck operators could possibly carry health promotion materials too. Worksite-based food trucks may provide a novel tool where public health professionals can access and disseminate health education, including a culturally adapted work-based smoking cessation intervention. Therefore, we conducted this qualitative study to understand CW work environments with an aim to assess their acceptability of a culturally tailored smoking cessation intervention utilizing the food truck to facilitate smoking cessation.
Methods
Design/Population
To assess the practicality of this cessation method, we conducted focus groups exploring concepts around acceptability and sought input into intervention development. We conducted five focus groups (n = 37) over two months in 2016 investigating issues around tobacco use behaviours/norms with CWs to acquire feedback on the acceptability of using food trucks to support the delivery of a smoking cessation intervention targeting Hispanic/Latino male CWs. Participants were recruited through one large construction company with many sites and by the local safety manager. The local safety manager selected the worksites for participation in the focus groups based on how far along they were in the construction projects to ensure there would be an adequate number of workers at each site for recruitment. The local safety manager introduced the study at the sites to the employees during one of their regular morning meetings and said the study team would be on site to recruit for a research project. Study team members then went to the construction sites and approached CWs who smoked and asked them if they would like to participate in a focus group. To participate, respondents had to be 18 years or older, male Hispanic/Latino CWs, and self-reported current smokers, including light, and intermittent smokers. Whereas women have made gains in the construction industry, the occupation is still predominantly male (CPWR – The Center for Construction Research and Training, 2013).
Focus Group Procedures
After screening for eligibility, the research team explained the study to participants and subsequently consented them. With assistance from the site safety manager, focus groups were held on a large construction site in one of the office trailers in Miami-Dade County during lunch break and lasted 60 minutes. At the start of the focus group session, participants were given a short survey to be filled out anonymously so we could obtain basic demographic information, employment characteristics, and smoking behaviour data. Interview guides contained open- and closed- ended questions developed by investigators in tobacco control and occupational health, with expertise in CW populations. A priori topics included work environment (e.g., construction site environments, length of time on sites, smoking policies, hours of operation), tobacco use behaviours at home/work, knowledge, and previous use of smoking cessation treatments (e.g., NRT or other quit aids), preferred intervention delivery method (e.g., food truck, face-to-face sessions versus other modalities like computer-based), cultural issues regarding cessation, and quit interest (willingness to quit in the next month) (see Table 1).
Focus group guide
Focus groups were moderated by two bilingual Hispanic/Latino public health graduate students with backgrounds in occupational health and clinical psychology. Moderators were debriefed after each focus group session to assess participant's interest and to probe for any incidences that may have occurred. Interviews were conducted in Spanish based on participant preference. Interviews were audiotaped and transcribed verbatim by a bilingual study team member. The university's Institutional Review Board approved the protocol. Respondents received a $25 incentive for participating in the focus groups.
Analysis
Survey data were analysed using SPSS and descriptive statistics were used to describe the characteristics of the sample. Qualitative data were analysed using a general inductive analysis, the constant comparative method, allowing for the emergence of data themes (Corbin & Strauss, Reference Corbin and Strauss2007; Glaser & Strauss, Reference Glaser and Strauss1967; Thomas, Reference Thomas2006). Qualitative data analysis is an iterative process and the resulting concepts/themes are derived from the raw data so concepts and themes build upon one another (Corbin & Strauss, Reference Corbin and Strauss2007; Thomas, Reference Thomas2006). Using constant comparative analysis, focus group data were coded around several a priori and emergent themes until saturation was reached (Boeije, Reference Boeije2002). In other words, we examined items within each transcript within the same group, then we compared each transcript to one another across transcripts (data) to determine if the concepts or themes were present in each of the transcripts (Boeije, Reference Boeije2002; Pope, Ziebland, & Mays, Reference Pope, Ziebland and Mays2000; Hewitt-Taylor, Reference Hewitt-Taylor2001). Themes are recurring subject areas described by respondents where we examine responses that fit into each thematic area (Boeije, Reference Boeije2002). The study investigator reviewed each transcription as it was completed, discussed the initial findings with the moderators to ensure data accuracy, and reread the transcriptions for content (Kitto, Chesters, & Grbich, Reference Kitto, Chesters and Grbich2008). The investigator identified a theme and compared it in each transcript for similarities or differences (Boeije, Reference Boeije2002; Hewitt-Taylor, Reference Hewitt-Taylor2001; Pope et al., Reference Pope, Ziebland and Mays2000). The investigator met with the moderators to discuss and verify findings for quality control (Boeije, Reference Boeije2002; Kotto, Chesters, & Grbich, Reference Kitto, Chesters and Grbich2008). The data were categorized under a priori theme labels, specifically smoking behaviours (tobacco use patterns), cessation treatments, and the development of the smoking cessation intervention (preferences that include a face-to-face group treatment and an intervention before work). We also identified two emergent contextual factors influencing CW participation in a work-based culturally adapted smoking cessation intervention; specifically, we identified the work environment and stress as contributors to tobacco use patterns and cessation.
Results
The short survey showed the majority of participants were between 36 and 55 years (54%), had a high school degree or less (62.1%), and earned $30,000 or less (70.3%) (Table 2). CWs tended to work day shifts (81.1%), were worried about employment (59.4%), and worked on job sites where they were exposed to numerous pollutants (73%). Further, 91.9% of CWs had smoked a cigarette in the past month, with most participants smoking every day (62.2%). The number of years CWs smoked ranged from one to 30, with only two participants smoking more than that. Finally, when we asked the number of cigarettes smoked per day, we saw a similar percentage of participants who were light, moderate, or heavy smokers (see Boulous et al., Reference Boulous, Loffredo, El Setouhy, Abdel-Aziz, Israel and Mohamed2009). Despite efforts to recruit self-reported current smokers, as seen in the survey data, the focus groups contained a possible non-smoker.
Sociodemographic characteristics, employment characteristics, and smoking behaviour for Hispanic/Latino male construction workers (n = 37)
The five focus groups ranged in size from four to 10 participants, with an average participant size of seven (see Table 2 for exact group sizes). During the focus groups, we asked participants information about construction sites, coworkers, and site smoking policies to have a fundamental understanding of the occupation and tobacco work rules. Based on the focus group responses, we found employment ranged from one day to three years, with a median of 4.5 months. CWs tended to move from site to site frequently, so length of stay on each site is variable; they work on a site until their part of the job is finished then move to the next site. Also, CWs tended to arrive at the worksite between 6:00–7:00 AM and stay on site until it was time to leave for the day. Worksites have smoking restrictions ranging from no smoking to designated smoking areas. For example, CWs are not allowed to smoke near flammable storage areas or woodpiles, but can smoke outside worksite fences. However, CWs routinely ignore the rules and smoke on site while working, on breaks, and in front of the site. When examining participant preferences for a work-based cessation intervention, we found two common themes associated with tobacco use behaviours and three main themes specific to the intervention.
Tobacco Use Patterns
We asked respondents about their smoking patterns on/off the worksite. For instance, we asked participants if they smoked at the worksite, during lunch/breaks, on the way home, or at home. The majority said they smoked at work, during lunch/breaks, and at home. However, most participants said they smoked more at work than elsewhere. For instance:
I smoke while working. (Group 1; CW4)
. . . it's something common, smoking at the job sites, it's something common.
Me, if I am not smoking [at work] they put a cigarette in my mouth. (Group 1; CW4)
. . .I leave work and the weekends its worse, but during the week when I arrive at home, I smoke three or four cigarettes, no more; here at work, I smoke a lot more, 10 or 11. (Group 3; CW5)
When I get home I don't smoke, I don't really smoke at home. . . [Question: Then number 2 can't smoke inside the house?] No. (Group 4; CW2)
Me? If I don't work, I can stop smoking, if I don't work frequently I can. . . I stopped one year but when I work I smoke because I have many problems with my machines. (Group 1; CW4)
For CWs who smoked at home, they used cigarettes to relax after work. The relaxation process often included coffee or alcohol, acting as triggers to smoke. Respondents explained they watched television, drank coffee, or had an alcoholic beverage after work. For example:
I make coffee, I sit in front of the TV to watch the news, and I smoke my cigarette. (Group 2; CW3)
I drink a beer and I smoke a cigarette. (Group 2; CW9)
[The relationship between smoking and alcohol]. . . It's like a marriage. (Group 3; CW1)
Knowledge and Previous Use of Cessation Treatments
We asked respondents about cessation aids they previously tried. Only three respondents said they used a Federal Drug Administration (FDA) approved cessation product (i.e., prescription tablets, patches, and gum). One participant did not like his reaction to it and stopped, another switched to an alternative method, and one relapsed. Most respondents used either nothing or tried e-cigarettes to quit smoking. For instance:
When I arrived in the United States, they gave me pills, but I did not [take] them because they gave me a bad reaction. . . Dizzy. . . And after a year, I stopped smoking, but it was on my account, I was a year and two months without smoking. (Group 3; CW1)
When I want to stop smoking, I stop smoking and that is it. . . [Another respondent echoed this observation] Same with me, without gum or patches or anything. (Group 5; CWs5,6)
I tried the vapors, in the morning, in the morning my throat was too dry; I used it for two or three days and began again with the cigarettes. (Group 3; CW9)
. . .I tried an electronic cigarette and that did not work. (Group 3; CW6)
Cessation Preferences
We asked respondents open-ended and closed-ended questions about quitting smoking using various formats, including the food truck visiting construction sites several times a day, a face-to-face intervention at work, a home-based intervention, a computer-based intervention, etc. Moderators specifically asked if they would be interested in having the intervention at lunch hour and using the food truck. Two key themes emerged: the intervention preference was a face-to-face group treatment relative to other formats and the timing of the intervention that worked best for CWs was before work. Respondents preferred the face-to-face intervention because they felt it provided them with support and it encouraged their full participation. For example:
Face-to-face, not through the phone. . . . (Group 3; CW1)
All support is good. (Group 2; CW6)
Because I see the person, I get more strength and more in the mood. (Group 2; CW5)
A counselor [to talk to someone to quit]. . . Face-to-face. (Group 5; CW2)
Face-to-face you're in contact, through the phone one can be doing something else, watching a baseball game and you have the television on, and you're not paying attention. (Group 2; CW9)
The CWs all commented on the high level of stress at the job site, which factored into why they preferred to receive the intervention before work and why they tended to smoke more at work than elsewhere. CWs were open to having the food truck carry NRT; however, they were not open to using the truck at lunch break. They felt the intervention needed to take place before/after work and the food truck could be used to carry NRT. Participants explained not everyone came to the food truck at lunchtime – it varied by where they were in their projects and whether or not they brought their own lunch. Many participants worked through lunch to get a project completed on time. Participants also worried that if the intervention took too long, they would lose pay for the time they were not working. For instance:
[Question: If the lunch truck brought the gum and patches to help stop smoking would you utilize it?] Yes. (Group 1; CW4)
[. . .but if the truck, even though your wife prepares your food, if the truck had the patches and gum, would you utilize it?] Yes I would utilize it. (Group 1; CW1)
I am not in agreement with the lunch truck [at lunch break], for me at least, when I am on my break I don't stop, I don't go down for lunch, I don't go down. (Group 3; CW7)
[The intervention]. . . It would be after work or before work. (Group 4; CW10)
It would be good if they could come here to our worksite since we are always here. (Group 5; CW2)
[. . .lunchtime is a good time for the intervention?] In the morning, before beginning the workday. (Group 5; CW4)
Because we come to work and we have to work during the time they are paying us. An intervention is time lost for the company and they can take retaliation for that. (Group 5; CW4)
This also factored into participants’ level of job stress. Participants explained they were under great stress to complete tasks on time. As several CWs stated when asked about stress,
It would be good to receive information about stress, about how to deal with stress; sometimes when someone is stressed they smoke, but one shouldn't do that because it affects a little bit of your health. . . (Group 2; CW9)
Well you will have to talk to work, the wife, the problems with the kids, the bills, the stress that falls on you, and more if you come here you have to work to the maximum. (Group 4; CW11)
The pressure, the pressure to run our chores, we take care of 44 people, we have 44 headaches and it's very stressful. We were from the garage to the roof, and that is all day going up and down, going up and down, then it is a lot of stress from the time you arrive at work. The supervisors of [company name] call you when you arrive on the roof and they are on the bottom and then if they call you, you have to go down again to the garage. You have to attend to them, then this job is not like being in an office here, it's up and down everywhere. (Group 3; CW9)
Finally, we asked respondents how they felt about a smoking cessation intervention culturally adapted for Hispanics/Latinos to determine participant receptivity to having an intervention that was culturally specific. Respondents told us it was not necessary to adapt the intervention for ethnicity because everyone was the same. Respondents preferred an intervention that was not culturally adapted per se. We also asked if there were particular things that needed to be considered (e.g., familialism or language) when developing the intervention specifically for Hispanic/Latino CWs. For instance, current smokers stated that we are all the same race:
No, in my opinion, all of the races [are] the same. . . The color can change but the blood is the same. (Group 1; CW4)
No, the smokers are the same, here, in Africa, in China, or all over. (Group 3; CW7)
I think that smoking is a personal problem, it is not something that has to do with culture. (Group 5; CW4)
Discussion
Our data identified critical factors associated with developing a novel smoking cessation intervention targeting male Hispanic/Latino CWs. We prioritized the necessary elements to be included in the intervention to help this population of smokers quit (i.e., using NRT, going to the worksite where the CWs spend most of their time). We addressed the delivery method and timing acceptable for CWs on a busy construction worksite. Further, our data showed most respondents were not receptive to culturally tailoring the intervention.
Male CWs who currently smoke felt a face-to-face group cessation format at the construction site, compared to telephone- or computer-based formats, was more acceptable since it catered to where they spent most of their time, and encouraged participants to be present and attentive to the cessation message. Further, focus group participants were open to using the food truck to deliver NRT and support the intervention, but stated the intervention had to take place before work. In this instance, the food truck is secondary to the face-to-face intervention and is used as a means to gather the participants rather than the main delivery method of the intervention. Intervention delivery and timing are critical components of the intervention as CWs are not paid for the time they are not on the job and are fired from jobsites where they do not complete their daily job assignments.
We probed respondents’ receptivity to a culturally specific intervention. Because participants felt all racial/ethnic groups are the same, they were not receptive to culturally adapting cessation delivery. Targeted communication often includes demographic characteristics, while tailored messaging is more customized to culture (Hawkins et al., Reference Hawkins, Kreuter, Resnicow, Fishbein and Dijkstra2008). While the focus group participants were open to having the focus groups targeted in their communication (i.e., Spanish language and location), participants were less open to tailored messaging for the intervention that would have been highly customized to Hispanics/Latinos (i.e., familialism, simpatia (sympathy), social support, etc.) (Hawkins et al., Reference Hawkins, Kreuter, Resnicow, Fishbein and Dijkstra2008). It is important to note, however, that these results are preliminary and need to be followed up more carefully by examining potential cultural adaptations that may be acceptable to this population. For example, it may be useful to address perceptions of the usefulness of NRT and other pharmacologic treatments given that Hispanics/Latinos are less likely to use these products (Levinson et al., Reference Levinson, Perez-Stable, Espinoza, Flores and Byers2004). Likewise, because our results show stress is common and is perceived by Hispanic/Latino CWs as a determinant of their smoking, it may be useful to explore how stressors specific to this population (e.g., immigration- and work-related) could be addressed in cessation interventions.
Other investigators measuring receptivity found mixed results. For instance, in a study of African–American smokers, the researchers found equivocal results regarding a culturally specific intervention and intervention receptivity (Webb, Francis, Hines, & Quarles, Reference Webb, Francis, Hines and Quarles2007). While some participants thought it could be useful, others were skeptical and worried the culturally specific intervention could fall to stereotype or have other negative components (Webb et al., Reference Webb, Francis, Hines and Quarles2007). Further, empirical support for culturally tailored behavioural interventions, including smoking cessations trials, have shown mixed levels of effectiveness (Nierkens et al., Reference Nierkens, Hartman, Nicolaou, Vissenberg, Beune and Hosper2013). One recent study using a culturally tailored intervention among Latino smokers living with HIV/AIDS found the tailored intervention arm did not result in better cessation outcomes than the non-tailored (and less intensive) comparison intervention (Stanton et al., Reference Stanton, Papandonatos, Shuter, Bicki, Lloyd-Richardson and de Dios2015). The investigators did not find any added benefit from the intervention, despite the support of tailored interventions in the literature (Stanton et al., Reference Stanton, Papandonatos, Shuter, Bicki, Lloyd-Richardson and de Dios2015).
Finally, an emergent theme showed CWs were under a great deal of job stress which exacerbated their tendency to smoke at work. Stressful work environments are known to increase smoking, but the influence of these types of work environments on smoking cessation success are mixed (Albertsen, Borg, & Oldenburg, Reference Albertsen, Borg and Oldenburg2006). For example, in a systematic review of how work environments impact smoking cessation, researchers found higher stress jobs were associated with higher smoking rates; however, they also found the availability of cessation resources at work increased the probability of smoking cessation (Albertsen et al., Reference Albertsen, Borg and Oldenburg2006).
The data need to be interpreted with several limitations in mind. We only recruited male CWs from a large construction company operating on a number of sites. As such, we are unable to determine if women CWs have different preferences. Whereas women have made gains in construction trades, it remains overwhelmingly male dominated. In 1970, women comprised less than 1% of workers in construction trades, which only grew to 2.3% in 2,000 (CPWR – The Center for Construction Research and Training, 2013). Regardless, because CWs move from site to site, we are confident the male CWs in our sample represent a broader range of attitudes concerning the proposed cessation intervention. Additionally, we probed for participant receptivity for culturally adapting the cessation intervention, yet more rigorous work needs to be done to examine cultural tailoring in this population. Investigators need to design a more robust study and consider more factors than receptivity when creating culturally specific cessation interventions (Webb et al., Reference Webb, Francis, Hines and Quarles2007).
Additionally, our eligibility criteria called for self-reported current smokers, including light and intermittent smokers. The inclusion of the light/intermittent smokers was helpful to understand the needs of this important population sub-group of Hispanic/Latino smokers. However, even though we screened potential participants for current smoking status, our quantitative data revealed a possible non-smoker. Future studies should consider biochemically verifying smoking status, even for focus group participation. Despite the non-smoker in the group, we believe his presence did not alter the findings from the focus groups since it was only one participant out of 37. Further, because the data are qualitative, conclusions about the strength of our findings cannot be made (Mermelstein, Reference Mermelstein1999). Nevertheless, qualitative data allowed us to understand construction work environments and the target population's perceptions regarding the role of cigarettes in their lives. We also identified cessation barriers and developed an intervention best suited to their work locations. Hence, qualitative information provided us with unique data and valuable insight into how to create an intervention most useful to CWs.
Nevertheless, there are ways to mitigate some limitations and improve the rigour of qualitative research and data. One basic question to ask is “do the results have face validity” (Krueger, Reference Krueger1994)? To address this, we focused on data collection and analyses. To improve the rigour of our findings, we used five focus groups to obtain a robust dataset for analysis and stopped when we reached saturation (Mays & Pope, Reference Mays and Pope2000). Additionally, the primary investigator analysing the data discussed initial findings with focus group moderators to ensure s/he was capturing the concepts and themes for data interpretation (Kitto et al., Reference Kitto, Chesters and Grbich2008).
The main purpose of the study was to understand participant acceptability of a smoking cessation intervention that could possibly use the food truck, a resource on most construction sites, to help facilitate smoking cessation. This work provided insights into smoking cessation needs and preferences of Hispanic/Latino CWs, a large underserved population with high smoking rates. Finally, because university investigators are committed to a partnership with the construction firms and this population, as we obtain findings, we will disseminate them at meetings with the managers at participating construction sites.
Financial Support
This work was supported by the National Cancer Institute (NCI) at the National Institutes of Health (grant number R21 CA202993). NCI had no role in the study design, collection, or analysis, or interpretation of the data and manuscript writing. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Supplemental funding was provided by the University of Miami Sylvester Comprehensive Cancer Center.
Conflict of Interest
None.
Ethical Standards
The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008.
