Marijuana Use and Adherence to Smoking Cessation Treatment Among Callers to Tobacco Quitlines.

INTRODUCTION: Tobacco kills over half a million adults annually in the United States. Most smokers want to quit, and over 400,000 call state-funded quitlines for help each year. Marijuana use among tobacco users is common and may impede quitting, but co-use rates among quitline callers are unknown. The purpose of our observational study was to describe marijuana use among quitline callers in states with legalized marijuana. METHODS: Participants were 1,059 smokers aged 21 or older from Oregon, Alaska, and Washington, DC, who called quitlines from September through December 2016. Data on quitline callers' demographics, tobacco and marijuana use, and quitline use were collected. We used χ2 and regression analyses to compare marijuana users with nonusers on demographic characteristics and quitline use. RESULT: Among quitline callers in our study, 24% reported using marijuana in the past 30 days: 28.9% in Alaska, 16.7% in Washington, DC, and 25.0% in Oregon (P = .009). Current users, compared with non-users (n = 772), were less likely to be women (48.4% vs 62.0%, respectively, P < .001). Current marijuana users were less likely to be given nicotine replacement therapy (68.4%) than current nonusers (74.1%) (P < .001), but more likely to complete 3 or more counseling calls (P = .005). Of those who used marijuana in the past 30 days, 62.3% used marijuana on 1 to 19 days, 9.0% used on 20 to 29 days, and 28.7% on all 30 days. Among current marijuana users, the percentage who wanted to quit or reduce marijuana use (42.6%) was higher in Alaska (54.6%) and the District of Columbia (56.8%) than in Oregon (37.9%), P = .03. CONCLUSION: One in 4 quitline callers reported past 30-day marijuana use. Given that nearly half (43%) wanted to reduce marijuana use, addressing co-use may be an important addition to quitline treatment. Future studies should assess co-use effects on tobacco cessation outcomes and explore combined treatment or bidirectional referrals between quitlines and marijuana treatment providers.

Six Month Abstinence Heterogeneity in the Best Quit Study.

BACKGROUND: Understanding the characteristics of smokers who are successful in quitting may help to increase smoking cessation rates. PURPOSE: To examine heterogeneity in cessation outcome at 6 months following smoking cessation behavioral counseling with or without weight management counseling. METHODS: 2,540 smokers were recruited from a large quitline provider and then randomized to receive proactive smoking cessation behavioral counseling without or with two versions of weight management counseling. A Classification and Regression Tree (CART) analysis was conducted to identify the individual pretreatment and treatment characteristics of groups of smokers with different quitting success (as measured by point prevalence of self-reported smoking of any amount at 6 months). RESULTS: CART analysis identified 10 subgroups ranging from 25.5% to 70.2% abstinent. The splits in the CART tree involved: the total number of counseling and control calls received, whether a smoking cessation pharmacotherapy was used, and baseline measures of cigarettes per day, confidence in quitting, expectation that the study would help the participant quit smoking, the motivation to quit, exercise minutes per week, anxiety, and lack of interest or pleasure in doing things. Costs per quitter ranged from a low of $US270 to a high of $US630. Specific treatment recommendations are made for each group. CONCLUSIONS: These results indicate the presence of a substantial variation in abstinence following treatment, and that the total extent of contact via counseling calls of any type and baseline characteristics, rather than assigned treatment, were most important to subgroup membership and abstinence. Tailored treatments to subgroups who are at high risk for smoking following a quit attempt could increase successful smoking cessation.

Predictors of engagement in post-discharge quitline counseling among hospitalized smokers.

Quitlines provide evidence-based tobacco treatment and multiple calls yield higher quit rates. This study aimed to identify subgroups of smokers with greater quitline engagement following referral during hospitalization. Data were from a randomized clinical trial assessing the effectiveness of fax referral (referral faxed to proactive quitline) versus warm handoff (patient connected to quitline at bedside) (n = 1054). Classification and regression trees analyses evaluated individual and treatment/health system-related variables and their interactions. Among all participants, warm handoff, higher ratings of the tobacco treatment care transition, and being older predicted completing more quitline calls. Among patients enrolled in the quitline, higher transition of care ratings, being older, and use of cessation medication post-discharge predicted completing more calls. Three of the four factors influencing engagement were characteristics of treatment within the hospital (quality of tobacco treatment care transition and referral method) and therapy (use of cessation medications), suggesting potential targets to increase quitline engagement post-discharge.

Oral Health Promotion and Smoking Cessation Program Delivered via Tobacco Quitlines: The Oral Health 4 Life Trial.

OBJECTIVES: To assess the effects of a novel oral health promotion program (Oral Health 4 Life; OH4L) delivered through state-funded tobacco quitlines. METHODS: Using a semipragmatic design to balance experimental control and generalizability, we randomized US quitline callers (n = 718) to standard care or standard care plus OH4L. We followed participants for 6 months to assess effects on professional dental care and smoking abstinence. We collected data between 2015 and 2017. RESULTS: Participants were racially diverse (42% non-White) and socioeconomically disadvantaged. Most (71%) reported fair or poor oral health, and all were overdue for routine dental care. At 6 months, professional dental care and abstinence did not significantly differ between arms, but abstinence favored the experimental arm and was significantly higher among experimental participants at 2 months in a complete case sensitivity analysis. CONCLUSIONS: OH4L was not effective for promoting dental care, but integrating oral health counseling with quitline counseling may offer some advantage for smoking cessation. Public Health Implications. We offer a model for conducting semipragmatic trials and partnering with tobacco quitlines to evaluate population-level public health interventions.

Simultaneous vs. sequential treatment for smoking and weight management in tobacco quitlines: 6 and 12 month outcomes from a randomized trial.

BACKGROUND: Smoking cessation often results in weight gain which discourages many smokers from quitting and can increase health risks. Treatments to reduce cessation-related weight gain have been tested in highly controlled trials of in-person treatment, but have never been tested in a real-world setting, which has inhibited dissemination. METHODS: The Best Quit Study (BQS) is a replication and "real world" translation using telephone delivery of a prior in-person efficacy trial. DESIGN: randomized control trial in a quitline setting. Eligible smokers (n = 2540) were randomized to the standard 5-call quitline intervention or quitline plus simultaneous or sequential weight management. Regression analyses tested effectiveness of treatments on self-reported smoking abstinence and weight change at 6 and 12 months. RESULTS: Study enrollees were from 10 commercial employer groups and three state quitlines. Participants were between ages 18-72, 65.8% female, 68.2% white; 23.0% Medicaid-insured, and 76.3% overweight/obese. The follow-up response rate was lower in the simultaneous group than the control group at 6 months (p = 0.01). While a completers analysis of 30-day point prevalence abstinence detected no differences among groups at 6 or 12 months, multiply imputed abstinence showed quit rate differences at 6 months for:simultaneous (40.3%) vs. sequential (48.3%), p = 0.034 and simultaneous vs. control (44.9%), p = 0.043. At 12 months, multiply imputed abstinence, was significantly lower for the simultaneous group (40.7%) vs. control (46.0%), p < 0.05 and vs. sequential (46.3%), p < 0.05. Weight gain at 6 and 12 months was minimal and not different among treatment groups. The sequential group completed fewer total calls (3.75) vs. control (4.16) and vs. simultaneous group (3.83), p = 0.01, and fewer weight calls (0.94) than simultaneous (2.33), p < 0.0001. The number of calls completed predicted 30-day abstinence, p < 0.001, but not weight outcomes. DISCUSSION: This study offers a model for evaluating population-level public health interventions conducted in partnership with tobacco quitlines. CONCLUSIONS: Simultaneous (vs. sequential) delivery of phone/web weight management with cessation treatment in the quitline setting may adversely affect quit rate. Neither a simultaneous nor sequential approach to addressing weight produced any benefit on suppressing weight gain. This study highlights the need and the challenges of testing intensive interventions in real-world settings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT01867983 . Registered: May 30, 2013.

Factors associated with future dental care utilization among low-income smokers overdue for dental visits.

BACKGROUND: Smokers are at increased risk of oral disease. While routine dental care can help prevent and treat oral health problems, smokers have far lower rates of dental care utilization compared with non-smokers. We sought to better understand which factors may facilitate or hinder dental care utilization among low-income smokers participating in a randomized intervention trial in order to inform future intervention planning. METHODS: This is a secondary analysis of data collected between 2015 and 2017 as part of the OralHealth4Life trial. Participants were eligible callers to the Louisiana, Nebraska, and Oregon state tobacco quitlines who had no dental appointment in the prior or upcoming six months. We examined the association between participants' baseline characteristics and their receiving professional dental care between baseline and the 6-month follow-up survey. RESULTS: Participants were racially diverse (42% non-White) and two-thirds had an annual household income under $20,000. Most (86.7%) had not had a dental cleaning in more than one year. Commonly cited barriers to dental care included cost (83.7%) and no dental insurance (78.1%). Those with dental insurance were more likely to see a dentist at follow-up (RR 1.66). Similarly, those reporting a dental insurance barrier to care were less likely to see a dentist at follow-up (RR 0.69); however, there was no significant utilization difference between those reporting a cost barrier vs. those who did not. After controlling for these financial factors, the following baseline characteristics were significantly associated with a higher likelihood of dental care utilization at 6 months: higher motivation (RR 2.16) and self-efficacy (RR 1.80) to visit the dentist, having a disability (RR 1.63), having a higher education level (RR 1.52), and having perceived gum disease (RR 1.49). Factors significantly associated with a lower likelihood of dental care utilization included being married (RR 0.68) and not having a last dental cleaning within the past year (RR 0.47). CONCLUSIONS: Our findings provide important insight into factors that may facilitate or deter use of professional dental care among low-income smokers. This information could inform the development of future interventions to promote dental care utilization. TRIAL REGISTRATION: ClinicalTrials.gov : NCT02347124 ; registered 27 January 2015.

Comparative effectiveness of adding weight control simultaneously or sequentially to smoking cessation quitlines: study protocol of a randomized controlled trial.

BACKGROUND: Prevalence of multiple health risk behaviors is growing, and obesity and smoking are costly. Weight gain associated with quitting smoking is common and can interfere with quit success. Efficacy of adding weight management to tobacco cessation treatment has been tested with women in group sessions over an extended period of time, but has never been tested in real-world settings with men and women seeking help to quit. This paper describes the Best Quit study which tests the effectiveness of delivering tobacco and weight control interventions via existing quitline infrastructures. METHODS: Eligible and consenting smokers (n = 2550) who call a telephone quitline will be randomized to one of three groups; the standard quitline or standard quitline plus a weight management program added either simultaneously or sequentially to the tobacco program. The study aims to test: 1) the effectiveness of the combined intervention on smoking cessation and weight, 2) the cost-effectiveness of the combined intervention on cessation and weight and 3) theoretically pre-specified mediators of treatment effects on cessation: reduced weight concerns, increased outcome expectancies about quitting and improved self-efficacy about quitting without weight gain. Baseline, 6 month and 12 month data will be analyzed using multivariate statistical analyses and groups will be compared on treatment adherence, quit rates and change in weight among abstinent participants. To determine if the association between group assignment and primary outcomes (30-day abstinence and change in weight at 6 months) is moderated by pre-determined baseline and process measures, interaction terms will be included in the regression models and their significance assessed. DISCUSSION: This study will generate information to inform whether adding weight management to a tobacco cessation intervention delivered by phone, mail and web for smokers seeking help to quit will help or harm quit rates and whether a simultaneous or sequential approach is better at increasing abstinence and reducing weight gain post quit. If proven effective, the combined intervention could be disseminated across the U.S. through quitlines and could encourage additional smokers who have not sought cessation treatment for fear of gaining weight to make quit attempts. TRIAL REGISTRATION: Clinicaltrials.gov NCT01867983 . Registered: May 30, 2013.

Impact of baseline weight on smoking cessation and weight gain in quitlines.

BACKGROUND: The use and effectiveness of tobacco quitlines by weight is still unknown. PURPOSE: This study aims to determine if baseline weight is associated with treatment engagement, cessation, or weight gain following quitline treatment. METHODS: Quitline participants (n = 595) were surveyed at baseline, 3 and 6 months. RESULTS: Baseline weight was not associated with treatment engagement. In unadjusted analyses, overweight smokers reported higher quit rates and were more likely to gain weight after quitting than obese or normal weight smokers. At 3 months, 40 % of overweight vs. 25 % of normal weight or obese smokers quit smoking (p = 0.01); 42 % of overweight, 32 % of normal weight, and 33 % of obese quitters gained weight (p = 0.05). After adjusting for covariates, weight was not significantly related to cessation (approaching significance at 6 months, p = 0.06) or weight gain. CONCLUSIONS: In the first quitline study of this kind, we found no consistent patterns of association between baseline weight and treatment engagement, cessation, or weight gain.

Randomized trial of telephone-delivered acceptance and commitment therapy versus cognitive behavioral therapy for smoking cessation: a pilot study.

OBJECTIVE: We conducted a pilot randomized trial of telephone-delivered acceptance and commitment therapy (ACT) versus cognitive behavioral therapy (CBT) for smoking cessation. METHOD: Participants were 121 uninsured South Carolina State Quitline callers who were adult smokers (at least 10 cigarettes/day) and who wanted to quit within the next 30 days. Participants were randomized to 5 sessions of either ACT or CBT telephone counseling and were offered 2 weeks of nicotine replacement therapy (NRT). RESULTS: ACT participants completed more calls than CBT participants (M = 3.25 in ACT vs. 2.23 in CBT; p = .001). Regarding satisfaction, 100% of ACT participants reported their treatment was useful for quitting smoking (vs. 87% for CBT; p = .03), and 97% of ACT participants would recommend their treatment to a friend (vs. 83% for CBT; p = .06). On the primary outcome of intent-to-treat 30-day point prevalence abstinence at 6 months postrandomization, the quit rates were 31% in ACT versus 22% in CBT (odds ratio [OR] = 1.5, 95% confidence interval [CI] = 0.7-3.4). Among participants depressed at baseline (n = 47), the quit rates were 33% in ACT versus 13% in CBT (OR = 1.2, 95% CI = 1.0-1.6). Consistent with ACT's theory, among participants scoring low on acceptance of cravings at baseline (n = 57), the quit rates were 37% in ACT versus 10% in CBT (OR = 5.3, 95% CI = 1.3-22.0). CONCLUSIONS: ACT is feasible to deliver by phone, is highly acceptable to quitline callers, and shows highly promising quit rates compared with standard CBT quitline counseling. As results were limited by the pilot design (e.g., small sample), a full-scale efficacy trial is now needed.

Weight gain and smoking: perceptions and experiences of obese quitline participants.

BACKGROUND: Weight gain that commonly accompanies smoking cessation can undermine a person's attempt to quit and increase the risk for metabolic disorders. Research indicates that obese smokers have more weight concerns and gain more weight after quitting than non-obese smokers, yet little is known about possible reasons for these outcomes. We sought to gain an understanding of obese smokers' experiences of quitting and their attitudes and beliefs about the association between smoking and weight gain. METHODS: In-depth semi-structured interviews were conducted with obese smokers who called a state tobacco quitline. Interviewers elicited discussion of obese smokers' thoughts about smoking, the effects of quitting on change in weight, challenges they faced with quitting, and how quitlines might better serve their needs. RESULTS: Participants (n = 29) discussed their fear of gaining weight after quitting, their beliefs about smoking and their weight and significant experiences related to quitting. Participants' awareness of weight gain associated with quitting was based on prior experience or observation of others who quit. Most viewed cessation as their primary goal and discussed other challenges as being more important than their weight, such as managing stress or coping with a chronic health condition. Although weight gain was viewed as less important than quitting, many talked about changes they had made to mitigate the anticipated weight gain. CONCLUSIONS: Weight gain is a concern for obese smokers interested in quitting. Understanding the relative importance of body weight and other challenges related to smoking cessation can help tailor interventions for the specific group of smokers who are obese and interested in smoking cessation.

Smoking-related weight concerns and obesity: differences among normal weight, overweight, and obese smokers using a telephone tobacco quitline.

INTRODUCTION: Substantial evidence suggests that concerns about postcessation weight gain interfere with cessation efforts. However, it is unclear to what extent weight pretreatment affects smoking-related weight concerns. Given that the prevalence of overweight and obesity among callers to tobacco quitlines mirrors that of the population at large, and that women and obese smokers may be more concerned about weight gain, we sought to compare weight gain concerns among normal weight, overweight, and obese callers to a quitline. METHODS: A sample of 34.6% (n = 206) normal weight, 30.6% (n = 182) overweight, and 34.8% (n = 207) obese quitline callers completed assessments of tobacco use history and smoking-specific weight concerns. Weight categories were compared and gender differences evaluated. RESULTS: Obese smokers endorsed significantly more concerns about postcessation weight gain [F(2, 592) = 20.35, p < .0001], had less confidence in their ability to maintain their weight without smoking [F(2, 592) = 7.67, p = .0005], and were willing to tolerate less weight gain after quitting than normal weight or overweight smokers [F(2,574) = 30.59, p < .0001). There also were gender differences in weight concerns by weight status. Significantly more women callers were obese (38.2% vs. 28.4%, p = .011), and women consistently endorsed more concern about postcessation weight gain than did men [F(1,588) = 24.04, p < .0001). CONCLUSIONS: Overweight and obese smokers, particularly women, express substantial concern about gaining weight after quitting. It is possible that smokers who begin quitline treatment with a BMI in the obese range may benefit from adjunctive interventions designed to address smoking-related weight concerns.

Enhancing tobacco quitline effectiveness: identifying a superior pharmacotherapy adjuvant.

INTRODUCTION: Telephone tobacco quitlines are effective and are widely used, with more than 500,000 U.S. callers in 2010. This study investigated the clinical effectiveness and cost-effectiveness of 3 different quitline enhancements: combination nicotine replacement therapy (NRT), longer duration of NRT, and counseling to increase NRT adherence. METHODS: In this study, 987 quitline callers were randomized to a combination of quitline treatments in a 2 × 2 × 2 factorial design: NRT duration (2 vs. 6 weeks), NRT type (nicotine patch only vs. patch plus nicotine gum), and standard 4-call counseling (SC) versus SC plus medication adherence counseling (MAC). The primary outcome was 7-day point-prevalence abstinence (PPA) at 6 months postquit in intention-to-treat (ITT) analyses. RESULTS: Combination NRT for 6 weeks yielded the highest 6-month PPA rate (51.6%) compared with 2 weeks of nicotine patch (38.4%), odds ratios [OR] = 1.71 (95% confidence interval [CI]:1.20-2.45). A similar result was found for 2 weeks of combination NRT (48.2%), OR = 1.49 (95% CI: 1.04-2.14) but not for 6 weeks of nicotine patch alone (46.2%), OR = 1.38 (95% CI: 0.96-1.97). The MAC intervention effect was nonsignificant. Cost analyses showed that the 2-week combination NRT group had the lowest cost per quit ($442 vs. $464 for 2-week patch only, $505 for 6-week patch only, and $675 for 6-week combination NRT). CONCLUSIONS: Combination NRT for 2 or 6 weeks increased 6-month abstinence rates by 10% and 13%, respectively, over rates produced by 2 weeks of nicotine patch when offered with quitline counseling. A 10% improvement would potentially yield an additional 50,000 quitters annually, assuming 500,000 callers to U.S. quitlines per year.

Use and effectiveness of quitlines for smokers with diabetes: cessation and weight outcomes, Washington State Tobacco Quit Line, 2008.

INTRODUCTION: Having diabetes and smoking increases the risk of morbidity and mortality. However, cessation-related weight gain, a common side effect during quitting, can further complicate diabetes. Evidence-based telephone quitlines can support quitting but have not been studied adequately in populations with chronic diseases such as diabetes. The purpose of this study was to evaluate the use and effectiveness of a tobacco quitline among tobacco users with diabetes. Cessation-related weight concerns and weight gain were also assessed. METHODS: We administered a telephone-based follow-up survey to tobacco users with and without diabetes 7 months after their enrollment in a quitline. We collected and analyzed data on demographics, tobacco use, dieting, weight concern, quitting success (7- and 30-day point prevalence), and weight gain. We computed summary statistics for descriptive data, χ(2) and t tests for bivariate comparisons, and multivariable analyses to determine correlates of cessation. RESULTS: Tobacco users with diabetes used the quitline in a greater proportion than they were represented in the general population. Quit rates for those with and without diabetes did not differ significantly (24.3% vs 22.5%). No significant differences existed between groups for weight gain at follow-up, regardless of quit status. However, participants with diabetes reported more weight gain in previous quit attempts (34.2% vs 22.4% gained >20 lbs, P = .03). Weight concern was a significant correlate of continued smoking, regardless of diabetes status. CONCLUSIONS: Results suggest that quitlines are effective for participants with diabetes, but tailored interventions that address weight concerns during cessation are needed.

Trajectories of cigarettes per day during the course of telephone tobacco cessation counseling services: a comparison of missing data models.

INTRODUCTION: Cigarette smoking accounts for approximately 1 in 5 deaths in the United States every year. To combat smoking, a network of telephone-based smoking cessation counseling services or "quitlines" provide smokers in the United States with smoking cessation resources, and several studies have demonstrated the efficacy of quitlines in promoting long-term smoking cessation. Yet, many individuals who enroll in quitlines do not receive all intended calls, and there is a dearth of research on the impact of missing data on the evaluation of quitline outcomes. METHODS: The current study was a secondary analysis of existing data from a commercial telephone smoking cessation counseling service to estimate the trajectories of cigarettes per day among participants (n = 2,041) during the course of the first 5 calls of the quitline program. Numerous missing data models were estimated to assess the degree to which trajectories of cigarettes per day were associated with the propensity for missing data. RESULTS: The results from growth curve models indicated a significant decrease in cigarettes per day during the quitline program, which was predicted from levels of nicotine dependence. The comparison of missing data models indicated that the propensity for missing data was not systematically associated with the trajectories of cigarettes per day after controlling for level of nicotine dependence. CONCLUSIONS: Analyses conducted in the current study provide evidence that the quitline program was effective at reducing cigarettes per day. Researchers are encouraged to examine missing data mechanisms and control for nicotine dependence in studies of smoking cessation treatment outcomes.

State quitlines and cessation patterns among adults with selected chronic diseases in 15 states, 2005-2008.

INTRODUCTION: The death rate of people who have a chronic disease is lower among former smokers than current smokers. State tobacco cessation quitlines are available for free in every state. The objective of our study was to compare demographic characteristics, use of quitline services, and quit rates among a sample of quitline callers. METHODS: We used data from 15 states on tobacco users aged 18 or older who enrolled with a quitline between October 1, 2005, and May 31, 2008; 9 states also provided data from 7-month follow-up surveys. We used descriptive statistics and logistic regression to compare callers by disease status. RESULTS: Among 195,057 callers, 32.3% reported having 1 or more of the following chronic diseases: 17.7%, asthma; 5.9%, coronary artery disease; 11.1%, chronic obstructive pulmonary disease; and 9.3%, diabetes; 9.0% had 2 or more chronic diseases. Callers who had a chronic disease were older and better educated; more likely to be female, have Medicaid or other health insurance, and have used tobacco for 20 years or more; and less likely to quit smoking (22.3%) at 7 months than callers who had none of these chronic diseases (29.7%). CONCLUSION: About one-third of tobacco users who call state quitlines have a chronic disease, and those who have a chronic disease are less likely to quit using tobacco. Continued efforts are needed to ensure cessation treatments are reaching tobacco users who have a chronic disease and to develop and test ways to increase quit rates among them.

Utilization of services in a randomized trial testing phone- and web-based interventions for smoking cessation.

INTRODUCTION: Phone counseling has become standard for behavioral smoking cessation treatment. Newer options include Web and integrated phone-Web treatment. No prior research, to our knowledge, has systematically compared the effectiveness of these three treatment modalities in a randomized trial. Understanding how utilization varies by mode, the impact of utilization on outcomes, and predictors of utilization across each mode could lead to improved treatments. METHODS: One thousand two hundred and two participants were randomized to phone, Web, or combined phone-Web cessation treatment. Services varied by modality and were tracked using automated systems. All participants received 12 weeks of varenicline, printed guides, an orientation call, and access to a phone supportline. Self-report data were collected at baseline and 6-month follow-up. RESULTS: Overall, participants utilized phone services more often than the Web-based services. Among treatment groups with Web access, a significant proportion logged in only once (37% phone-Web, 41% Web), and those in the phone-Web group logged in less often than those in the Web group (mean = 2.4 vs. 3.7, p = .0001). Use of the phone also was correlated with increased use of the Web. In multivariate analyses, greater use of the phone- or Web-based services was associated with higher cessation rates. Finally, older age and the belief that certain treatments could improve success were consistent predictors of greater utilization across groups. Other predictors varied by treatment group. CONCLUSIONS: Opportunities for enhancing treatment utilization exist, particularly for Web-based programs. Increasing utilization more broadly could result in better overall treatment effectiveness for all intervention modalities.

Race differences in predictors of weight gain among a community sample of smokers enrolled in a randomized controlled trial of a multiple behavior change intervention.

African Americans have disproportionate rates of post-cessation weight gain compared to non-Hispanic whites, but few studies have examined this weight gain in a multiracial sample of smokers receiving evidence-based treatment in a community setting. We examined race differences in short-term weight gain during an intervention to foster smoking cessation plus weight management. Data were drawn from the Best Quit Study, a randomized controlled trial conducted via telephone quitlines across the U.S. from 2013 to 2017. The trial tested the effects on cessation and weight gain prevention of adding a weight control intervention either simultaneously with or sequentially after smoking cessation treatment. African Americans (n = 665) and whites (n = 1723) self-reported smoking status and weight during ten intervention calls. Random effects longitudinal modeling was used to examine predictors of weight change over the intervention period (average 16 weeks). There was a significant race × treatment effect; in the simultaneous group, weight increased for African Americans at a faster rate compared to whites (b = 0.302, SE = 0.129, p < 0.05), independent of smoking status, age, baseline obesity, and education. After stratifying the sample, the effect of treatment group differed by race. Education level attenuated the rate of weight gain for African Americans in the simultaneous group, but not for whites. African Americans receiving smoking and weight content simultaneously gained weight faster than whites in the same group; however, the weight gain was slower for African Americans with higher educational attainment. Future studies are needed to understand social factors associated with treatment receptivity that may influence weight among African American smokers.

The impact of primary care behavioral health services on patient behaviors: A randomized controlled trial.

INTRODUCTION: Greater understanding of the impact of low intensity psychosocial interventions delivered by behavioral health clinicians (BHCs) working in an integrated care program (ICP) may promote better depression care. METHOD: In a randomized controlled trial, 153 participants identified as depressed by their primary care provider (PCP) were assigned to ICP or usual care (UC, management by PCP, including specialty referral). In the ICP condition, BHCs worked collaboratively with PCPs and liaison psychiatrists. RESULTS: ICP participants with lower and higher severity symptoms reported significantly greater use of coping strategies than UC participants at the 1-month follow up (lower: p = .002; higher: p = .016). ICP participants with lower severity continued to report significantly greater use of coping strategies than UC participants at the 4-month (p = .024), and 7-month (p = .012) follow ups. ICP participants were more likely to be following relapse preventions plans at the 4-month follow up (lower: 89.5% vs. 50%, p = .0.000; higher 74.1% vs. 33%, p = .0001). ICP participants also reported use of antidepressant medications on more days than UC participants at the 4-month follow up (lower: 21.27 vs. 14.49 days, p = .049; higher: 24.61 vs. 17.08 days, p = .035). Patient retention in the ICP was high, and ICP participants were significantly more satisfied with depression care than UC participants at follow-up assessments. DISCUSSION: Delivery of low intensity psychosocial interventions by BHCs was associated with improvements to behavior charge targets. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Impact of a novel oral health promotion program on routine oral hygiene among socioeconomically disadvantaged smokers: results from a randomized semi-pragmatic trial.

Smokers are at high risk of oral disease and report sub-optimal oral hygiene. Improving smokers' oral hygiene could reduce their future disease risk. The purpose of this study is to assess the effects of a novel, multi-modal oral health promotion program (Oral Health 4 Life; OH4L) targeted to socioeconomically disadvantaged smokers and delivered through state-funded tobacco quitlines. Smokers (n = 718) were randomized to standard quitline care or standard care plus OH4L. OH4L recipients received a comprehensive behavioral intervention and were advised of the benefits of routine oral hygiene, encouraged to brush and floss daily (for better oral health and to manage cigarette cravings), and provided a toothbrush and floss. Participants were followed for 6 months to assess the intervention effects on routine oral hygiene (brushing and flossing) and changes in motivation and self-efficacy. Data were collected between 2015 and 2017. At 2-month follow-up, OH4L participants were more likely to meet the American Dental Association (ADA) recommendations for brushing twice daily (adjusted RR = 1.15 [1.04, 1.27], p = .006), flossing daily (adjusted RR = 1.20 [1.03, 1.39], p = .02), and for both brushing and flossing (adjusted RR = 1.33 [1.10, 1.61], p = .003). Daily flossing was more likely at 6-month follow-up (adjusted RR = 1.21 [1.04, 1.42], p = .02) among OH4L participants. The change in self-efficacy and motivation for daily flossing from baseline to 2 months was significantly greater among OH4L participants and mediated the intervention effect on flossing at 6 months. Integrating oral hygiene promotion with standard tobacco quitline services improved oral health self-care.

Using free patches to improve reach of the Oregon Quit Line.

For 2 1/2 months, the Oregon Tobacco Quit Line (ORQL) offered a free 2-week starter kit of nicotine patches to all callers. The promotional plan, utilizing Roger's Diffusion of Innovation theory, targeted health plans, local policy makers, media sources, and referral sources, such as healthcare providers. Word-of-mouth advertising was also encouraged using a free patch card, which could be handed out to tobacco users. Six weeks prior to the public launch, information about the initiative was disseminated by e-mailing and sending letters to public and private sector partners. Call volume to the ORQL was monitored 6 months prior to the Free Patch Initiative and immediately following the launch. Demographic characteristics of callers pre- and postinitiative were compared using ORQL data. A media firm tracked earned media generated by the initiative. The Initiative generated free "earned" media attention, increased calls to the ORQL by 12-fold, and reached 1.3% of the smoking population within a 3-month period. Offering a short course of free NRT is an effective way to promote the use of quitlines.