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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., (© The Author(s) 2019. Published by Oxford University Press on behalf of the Society of Behavioral Medicine.)

Purpose: To estimate changes in self-reported health and psychosocial factors associated with a 12-week sedentary behavior intervention for older adults., Design: Exploratory secondary analysis of pilot randomized controlled trial., Setting: Kaiser Permanente Washington., Subjects: Sixty adults aged 60 to 89 with body mass index ≥30 kg/m 2 ., Intervention: Participants were randomized to the I-STAND intervention or control group. I-STAND involved 6 coaching sessions, a study workbook, Jawbone UP activity tracker to prompt breaks from sitting, and activPAL feedback on objective sitting time., Measures: At baseline and 12-week follow-up, participants completed a survey with validated measures of self-reported health outcomes (depression, stress, memory/concentration, sleep, pain, ability to do daily activities, energy, and quality of life) and modified scales measuring psychosocial factors (perceived benefits/barriers, social support, self-efficacy, and sedentary habit strength) regarding sedentary behavior., Analysis: Generalized linear models assessed associations between group assignment and change in each self-reported health and psychosocial score, adjusting for baseline scores., Results: I-STAND participants demonstrated improvements in self-efficacy (β = 0.35, 95% confidence interval [CI]: 0.10 to 0.60) and reduced habit strength (β= -0.23, 95% CI: -0.42 to -0.04) compared to control participants. There were no significant differences in self-reported health outcomes, although power was limited in this exploratory analysis., Conclusion: A sedentary behavior reduction intervention for older adults resulted in improvements for some psychosocial factors. Health outcomes may require longer than 12 weeks to observe improvements.

Background: Older adults spend more time sitting than any other age group, contributing to poor health outcomes. Effective behavioral interventions are needed to encourage less sitting among older adults, specifically those with obesity, but these programs must be acceptable to the target population. We explored participant acceptance of a theory-based and technology-enhanced sitting reduction intervention designed for older adults (I-STAND)., Methods: The 12-week I-STAND intervention consisted of 6 health coaching contacts, a study workbook, a Jawbone UP band to remind participants to take breaks from sitting, and feedback on sitting behaviors (generated from wearing an activPAL device for 7 days at the beginning and mid-point of the study). Semi-structured interviews were conducted with 22 participants after they completed the intervention. Interview transcripts were iteratively coded by a team, and thematic analysis was used to identify and refine emerging themes., Results: Overall, participants were satisfied with the I-STAND intervention, thought the sedentary behavior goals of the intervention were easy to incorporate, and found the technologies to be helpful additions to (but not substitutes for) health coaching. Barriers to standing more included poor health, ingrained sedentary habits, lack of motivation to change sedentary behavior, and social norms that dictate when it is appropriate to sit/stand. Facilitators to standing more included increased awareness of sitting, a sense of accountability, daily activities that involved standing, social support, and changing ways of interacting in the home environment. Participants reported that the intervention improved physical health, increased energy, increased readiness to engage in physical activity, improved mood, and reduced stress., Conclusions: The technology-enhanced sedentary behavior reduction intervention was acceptable, easy to incorporate, and had a positive perceived health impact on older adults with obesity., Trial Registration: The I-STAND study was registered at clinicaltrials.gov (ID: NCT02692560 ) February 2016.

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.

Background: Most smokers do not use evidence-based smoking cessation treatment. Increasing utilization of these services is an important public health goal. Health care systems and insurers are well positioned to support this goal within their patient populations. We tested whether a brief, mail-based intervention increased utilization of tobacco cessation services among insured smokers., Methods: Adult smokers were identified via automated health plan data and randomized to one of five treatment arms (n = 4767). Randomization was stratified by gender, age, and type of health plan coverage. Three arms received a letter containing motivational content and treatment referral information. Motivational content emphasized either the financial, health, or values-based benefits of quitting. One arm received a referral letter with no motivational content, and one arm received no letter. Enrollment in the referred tobacco cessation program was monitored for 5 months. Treatment was available to all participants through their insurance., Results: Across all four letter conditions, 0.8% of participants enrolled in tobacco treatment compared to 0.9% in the no letter reference group (p = .69). No single letter condition was superior to the others (p = .71), but treatment uptake was greater among participants who received their care and coverage from the health plan versus those with insurance coverage only (1.2% vs. 0.3%, p < .01)., Conclusions: A one-time, mailed letter is not a cost-effective strategy for promoting use of covered smoking cessation treatment within large health plan populations, particularly when the message source is an insurance provider only and does not also provide clinical care. Health plans and insurers should consider alternative outreach efforts to promote treatment uptake among smokers., Trial Registrations: TRN registered retrospectively with ISRCTN registry ( www.isrctn.com ). Registered on 11/01/2018. Registration number: ISRCTN32311137 .

Smokers are at high risk for oral disease. As a result, they represent an important target group for population-level, public oral health promotion efforts. While dental health professionals often address smoking with their patients, no systematic efforts have been made to offer smokers an intervention to improve their use of oral health care. This paper details the rationale, design, and methods of a large, semi-pragmatic, randomized clinical trial designed to address this gap. Participants are recruited via the Oregon, Nebraska and Louisiana state-sponsored tobacco quitlines and randomized to receive standard quitline care versus standard care plus a multi-modal oral health promotion program (Oral Health 4 Life) integrated within the quitline services. All participants are followed for 6months to assess the impact of the intervention on smoking abstinence and utilization of professional dental care. In addition, the study will assess the cost of the intervention and provide practical guidance to states on whether the intervention is financially feasible to implement, should the intervention be effective. This study protocol may be useful to others interested in promoting oral health among smokers, those interested in partnering with tobacco quitlines to extend standard services to address other high risk health behaviors among smokers, or those interested in semi-pragmatic trial design., (Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.)

Background: Prior research demonstrated a need and opportunity to target smokers calling a free, state-funded tobacco quitline to provide behavioral counseling for oral health promotion; however, it is unclear whether these results generalize to tobacco quitline callers of higher socioeconomic status receiving services through commercially-funded quitlines. This knowledge will inform planning for a future public oral health promotion program targeted to tobacco quitline callers., Methods: We surveyed smokers (n = 455) who had recently received tobacco quitline services through their medical insurance. Participants were asked about their self-reported oral health indicators, key behavioral risk factors for oral disease, motivation for changing their oral self-care behavior, and interest in future oral health promotion services. Where applicable, results were compared against those from a representative sample of callers to a free, state-funded quitline (n = 816) in the same geographic region., Results: Callers to a commercially-funded quitline had higher socioeconomic status, were more likely to have dental insurance, and reported better overall oral health indicators and routine self-care (oral hygiene, dental visits) than callers to a state-funded quitline. Nevertheless opportunities for oral health promotion were identified. Nearly 80% of commercial quitline callers failed to meet basic daily hygiene recommendations, 32.8% had not visited the dentist in more than a year, and 63.3% reported daily alcohol consumption (which reacts synergistically with tobacco to increase oral cancer risk). Nearly half (44%) were interested in learning how to improve their oral health status and, on average, moderately high levels of motivation for oral health care were reported. Many participants also had dental insurance, eliminating an important barrier to professional dental care., Conclusions: Future public oral health promotion efforts should focus on callers to both free state-supported and commercially-funded tobacco quitlines. While differences exist between these populations, both groups report behavioral risk factors for oral disease which represent important targets for intervention.

Objective: Improving oral health and oral health care are important public health goals. Tobacco users and smokers are at particularly high risk for oral disease and warrant targeted intervention efforts. We assessed the need for and acceptability of targeting tobacco quitline callers for an oral health promotion intervention., Methods: We surveyed 816 Washington State Quitline callers to assess their oral health, relevant self-care behaviors, and interest in oral health promotion intervention., Results: Most respondents were female, cigarette smokers, of low socioeconomic status, with no dental insurance. Of the respondents, 79.3% (n=647) had some or all of their natural teeth (e.g., dentate); however, most of these respondents failed to meet recommendations for daily oral hygiene (brushing and flossing) (83.9%, n=543) and had no dental visits in the past year (52.6%, n=340). Similar findings were observed among respondents with no insurance. Many respondents were interested in learning more about how to improve their oral health (57.4%, n=468), willing to speak with a quitline coach about improving their oral health (48.2%, n=393), and open to receiving additional oral health information by mail (62.7%, n=512) or the Internet (50.0%, n=408). People who were receptive to learning how to improve their oral health were significantly more likely to be nonwhite, have a low income, have no dental insurance, and not have visited a dentist in the past year., Conclusion: There is a need and an opportunity to target quitline callers for oral health promotion services, as those most in need of these services were open to receiving them.

Background: Comparative risk perceptions may rival other types of information in terms of effects on health behavior decisions., Purpose: We examined associations between comparative risk perceptions, affect, and behavior while controlling for absolute risk perceptions and actual risk., Methods: Women at an increased risk of breast cancer participated in a program to learn about tamoxifen which can reduce the risk of breast cancer. They reported comparative risk perceptions of breast cancer and completed measures of anxiety, knowledge, and tamoxifen-related behavior intentions. Three months later, the women reported their behavior., Results: Comparative risk perceptions were positively correlated with anxiety, knowledge, intentions, and behavior 3 months later. After controlling for participants' actual risk of breast cancer and absolute risk perceptions, comparative risk perceptions predicted anxiety and knowledge, but not intentions or behavior., Conclusions: Comparative risk perceptions can affect patient outcomes like anxiety and knowledge independently of absolute risk perceptions and actual risk information.

Background: Interventions are needed which can successfully modify more than one disease risk factor at a time, but much remains to be learned about the acceptability, feasibility, and effectiveness of multiple risk factor (MRF) interventions. To address these issues and inform future intervention development, we conducted a randomized pilot trial (n = 52). This study was designed to assess the feasibility and acceptability of the Step Up program, a MRF cognitive-behavioral program designed to improve participants' mental and physical well-being by reducing depressive symptoms, promoting smoking cessation, and increasing physical activity., Methods: Participants were recruited from a large health care organization and randomized to receive usual care treatment for depression, smoking, and physical activity promotion or the phone-based Step Up counseling program plus usual care. Participants were assessed at baseline, three and six months., Results: The intervention was acceptable to participants and feasible to offer within a healthcare system. The pilot also offered important insights into the optimal design of a MRF program. While not powered to detect clinically significant outcomes, changes in target behaviors indicated positive trends at six month follow-up and statistically significant improvement was also observed for depression. Significantly more experimental participants reported a clinically significant improvement (50% reduction) in their baseline depression score at four months (54% vs. 26%, OR = 3.35, 95% CI [1.01-12.10], p = 0.05) and 6 months (52% vs. 13%, OR = 7.27, 95% CI [1.85-37.30], p = 0.004), Conclusions: Overall, results suggest the Step Up program warrants additional research, although some program enhancements may be beneficial. Key lessons learned from this research are shared to promote the understanding of others working in this field., Trial Registration: The trial is registered with ClinicalTrials.gov (NCT00644995).

Background: The Internet provides us with tools (user metrics or paradata) to evaluate how users interact with online interventions. Analysis of these paradata can lead to design improvements., Objective: The objective was to explore the qualities of online participant engagement in an online intervention. We analyzed the paradata in a randomized controlled trial of alternative versions of an online intervention designed to promote consumption of fruit and vegetables., Methods: Volunteers were randomized to 1 of 3 study arms involving several online sessions. We created 2 indirect measures of breadth and depth to measure different dimensions and dynamics of program engagement based on factor analysis of paradata measures of Web pages visited and time spent online with the intervention materials. Multiple regression was used to assess influence of engagement on retention and change in dietary intake., Results: Baseline surveys were completed by 2513 enrolled participants. Of these, 86.3% (n = 2168) completed the follow-up surveys at 3 months, 79.6% (n = 2027) at 6 months, and 79.4% (n = 1995) at 12 months. The 2 tailored intervention arms exhibited significantly more engagement than the untailored arm (P < .01). Breadth and depth measures of engagement were significantly associated with completion of follow-up surveys (odds ratios [OR] = 4.11 and 2.12, respectively, both P values < .001). The breadth measure of engagement was also significantly positively associated with a key study outcome, the mean increase in fruit and vegetable consumption (P < .001)., Conclusions: By exploring participants' exposures to online interventions, paradata are valuable in explaining the effects of tailoring in increasing participant engagement in the intervention. Controlling for intervention arm, greater engagement is also associated with retention of participants and positive change in a key outcome of the intervention, dietary change. This paper demonstrates the utility of paradata capture and analysis for evaluating online health interventions., Trial Registration: NCT00169312; http://clinicaltrials.gov/ct2/show/NCT00169312 (Archived by WebCite at http://www.webcitation.org/5u8sSr0Ty).

Objectives: We assessed change in fruit and vegetable intake in a population-based sample, comparing an online untailored program (arm 1) with a tailored behavioral intervention (arm 2) and with a tailored behavioral intervention plus motivational interviewing-based counseling via e-mail (arm 3)., Methods: We conducted a randomized controlled intervention trial, enrolling members aged 21 to 65 years from 5 health plans in Seattle, Washington; Denver, Colorado; Minneapolis, Minnesota; Detroit, Michigan; and Atlanta, Georgia. Participants reported fruit and vegetable intake at baseline and at 3, 6, and 12 months. We assessed mean change in fruit and vegetable servings per day at 12 months after baseline, using a validated self-report fruit and vegetable food frequency questionnaire., Results: Of 2540 trial participants, 80% were followed up at 12 months. Overall baseline mean fruit and vegetable intake was 4.4 servings per day. Average servings increased by more than 2 servings across all study arms (P<.001), with the greatest increase (+2.8 servings) among participants of arm 3 (P=.05, compared with control). Overall program satisfaction was high., Conclusions: This online nutritional intervention was well received, convenient, easy to disseminate, and associated with sustained dietary change. Such programs have promise as population-based dietary interventions.

Objective: To use focus groups to inform a web-based educational intervention for increased fruit and vegetable (FV) consumption., Methods: Twelve groups (participants=137, aged 21-65) were recruited from four geographically diverse health systems. Four groups were stratified by gender and eight by race (white and African American) and gender. Questions included perceptions of healthy eating, factors that encourage or serve as barriers to FV consumption and features preferred for a web-based educational intervention., Results: Though knowledgeable about healthy eating, participants did not know how to achieve or always care about healthy nutritional choices. Motivators for FV consumption included being role models and health concerns. Barriers included: lack of time, expense and FV availability. Website preferences included: visuals, links, tailored materials, menu suggestions, goal setting assistance, printable summaries and built in motivation. The developers incorporated nearly all suggestions., Conclusion: Focus groups provided needs-based tactical strategies for an online, education intervention targeting factors to improve FV consumption., Practice Implications: Focus groups can provide valuable input to inform interventions. Further, web-based programs' abilities to offer information without time or geographic constraints, with capacity for tailoring and tracking progress makes them a valuable addition in the arsenal of efforts to promote healthy behaviors.

Background: Web-based behavioral programs efficiently disseminate health information to a broad population, and online tailoring may increase their effectiveness. While the number of Internet-based behavioral interventions has grown in the last several years, additional information is needed to understand the characteristics of subjects who enroll in these interventions, relative to those subjects who are invited to enroll., Objective: The aim of the study was to compare the characteristics of participants who enrolled in an online dietary intervention trial (MENU) with those who were invited but chose not to participate, in order to better understand how these groups differ., Methods: The MENU trial was conducted among five health plans participating in the HMO Cancer Research Network in collaboration with the University of Michigan Center for Health Communication Research. Approximately 6000 health plan members per site, between the ages of 21 and 65, and stratified by gender with oversampling of minority populations, were randomly selected for recruitment and were mailed an invitation letter containing website information and a US$2 bill with the promise of US$20 for completing follow-up surveys. Administrative and area-based data using geocoding along with baseline survey data were used to compare invitees (HMO members sent the introductory letter), responders (those who entered a study ID on the website), and enrollees (those who completed the enrollment process). Generalized estimating equation multivariate and logistic regression models were used to assess predictors of response and enrollment., Results: Of 28,460 members invited to participate, 4270 (15.0%) accessed the website. Of the eligible responders, 2540 (8.9%) completed the consent form and baseline survey and were enrolled and randomized. The odds of responding were 10% lower for every decade of increased age (P < .001), while the likelihood of enrolling was 10% higher for every decade increase in age (P < .001). Women were more likely to respond and to enroll (P < .001). Those living in a census tract associated with higher education levels were more likely to respond and enroll, as well as those residing in tracts with higher income (P < .001). With a 22% (n = 566) enrollment rate for African Americans and 8% (n = 192) for Hispanics, the enrolled sample was more racially and ethnically diverse than the background sampling frame., Conclusions: Relative to members invited to participate in the Internet-based intervention, those who enrolled were more likely to be older and live in census tracts associated with higher socioeconomic status. While oversampling of minority health plan members generated an enrolled sample that was more racially and ethnically diverse than the overall health plan population, additional research is needed to better understand methods that will expand the penetration of Internet interventions into more socioeconomically diverse populations., Trial Registration: Clinicaltrials.gov NCT00169312; http://clinicaltrials.gov/ct2/show/NCT00169312 (Archived by WebCite at http://www.webcitation.org/5jB50xSfU).

Background: With the growing use of Internet-based interventions, strategies are needed to encourage broader participation. This study examined the effects of combinations of monetary incentives and mailing characteristics on enrollment, retention, and cost effectiveness for an online health program., Methods: In 2004, a recruitment letter was mailed to randomly selected Midwestern integrated health system members aged 21-65 and stratified by gender and race/ethnicity; recipients were randomly pre-assigned to one of 24 combinations of incentives and various mailing characteristics. Enrollment and 3-month retention rates were measured by completion of online surveys. Analysis, completed in 2005, compared enrollment and retention factors using t tests and chi-square tests. Multivariate logistic regression modeling assessed the probability of enrollment and retention., Results: Of 12,289 subjects, 531 (4.3%) enrolled online, ranging from 1% to 11% by incentive combination. Highest enrollment occurred with unconditional incentives, and responses varied by gender. Retention rates ranged from 0% to 100%, with highest retention linked to higher-value incentives. The combination of a $2 bill prepaid incentive and the promise of $20 for retention (10% enrollment and 71% retention) was optimal, considering per-subject recruitment costs ($32 enrollment, $70 retention) and equivalent enrollment by gender and race/ethnicity., Conclusions: Cash incentives improved enrollment in an online health program. Men and women responded differently to mailing characteristics and incentives. Including a small prepaid monetary incentive ($2 or $5) and revealing the higher promised-retention incentive was cost effective and boosted enrollment.

Background: Nearly half of the leading causes of death in our society are attributable to behavioral risk factors. As such, it is critical that we continue to develop and refine effective interventions for health behavior change. Some researchers have suggested that using biomarkers to educate individuals about their health status and disease risk may be an effective strategy to promote behavior change. This tactic is also commonly employed by healthcare providers, but its empirical support is unclear. This article reviews the research literature to determine the effectiveness of using biomarker feedback to motivate and enable health behavior change. Potential limitations of this treatment strategy and issues requiring additional research are also discussed., Methods: Articles were identified through PubMed (MEDLINE), PsychInfo, and the reference lists of pertinent manuscripts and book chapters., Results: Eight published, randomized trials were identified that met criteria for review. The results of this work were mixed, but suggest that biological information conveying harm exposure, disease risk, or impaired physical functioning may increase motivation to change. Subsequent behavior change is also affected by the availability and intensity of concomitant treatment., Conclusions: Preliminary findings suggest that combining biomarkers with appropriate behavioral treatment may enhance health behavior change, but more research in this area is warranted.