The Longitudinal Reciprocal Relationships of Tooth Brushing Behaviors Between Underserved Children and Their Caregivers.

BACKGROUND: Tooth brushing is effective in preventing early childhood caries. However, it is unclear how children's and caregiver's tooth brushing are reciprocally related. PURPOSE: The current study investigated whether the longitudinal relationships between children and caregiver tooth brushing are moderated by a caregiver-targeted child oral health intervention and caregiver depression. METHODS: Secondary analysis of a randomized clinical trial that tested whether caregiver-targeted oral health text messages (OHT) outperformed child wellness text messages (CWT) on pediatric dental caries and oral health behaviors (n = 754, mean child age = 2.9 years, 56.2% Black, 68.3%

Tooth brushing is effective in preventing dental cavities in children, but we do not know if or how children and caregiver brushing frequencies are related. This is important because interventions targeting children's oral health may also have the potential to benefit their caregiver's behaviors. Our study examined whether caregiver brushing of their own teeth and caregiver brushing of their young child's teeth positively influenced each other over time. We also explored whether this relationship was less likely if caregivers experienced depressive symptoms and more likely if caregivers participated in a text message program focused on improving their child's oral health. Results showed that caregiver and child tooth brushing behaviors positively influenced each other over time, but this relationship was observed only in caregivers who received the child oral health program (as opposed to the control group) and who reported low depressive symptoms (in contrast to caregivers with high depression symptoms). Our findings suggest that while caregivers and children positively influence each other's tooth-brushing behaviors over time, additional support is essential for caregivers experiencing depression to fully realize these reciprocal benefits.

Association of Smartwatch-Based Heart Rate and Physical Activity With Cardiorespiratory Fitness Measures in the Community: Cohort Study.

BACKGROUND: Resting heart rate (HR) and routine physical activity are associated with cardiorespiratory fitness levels. Commercial smartwatches permit remote HR monitoring and step count recording in real-world settings over long periods of time, but the relationship between smartwatch-measured HR and daily steps to cardiorespiratory fitness remains incompletely characterized in the community. OBJECTIVE: This study aimed to examine the association of nonactive HR and daily steps measured by a smartwatch with a multidimensional fitness assessment via cardiopulmonary exercise testing (CPET) among participants in the electronic Framingham Heart Study. METHODS: Electronic Framingham Heart Study participants were enrolled in a research examination (2016-2019) and provided with a study smartwatch that collected longitudinal HR and physical activity data for up to 3 years. At the same examination, the participants underwent CPET on a cycle ergometer. Multivariable linear models were used to test the association of CPET indices with nonactive HR and daily steps from the smartwatch. RESULTS: We included 662 participants (mean age 53, SD 9 years; n=391, 59% women, n=599, 91% White; mean nonactive HR 73, SD 6 beats per minute) with a median of 1836 (IQR 889-3559) HR records and a median of 128 (IQR 65-227) watch-wearing days for each individual. In multivariable-adjusted models, lower nonactive HR and higher daily steps were associated with higher peak oxygen uptake (VO2), % predicted peak VO2, and VO2 at the ventilatory anaerobic threshold, with false discovery rate (FDR)-adjusted P values <.001 for all. Reductions of 2.4 beats per minute in nonactive HR, or increases of nearly 1000 daily steps, corresponded to a 1.3 mL/kg/min higher peak VO2. In addition, ventilatory efficiency (VE/VCO2; FDR-adjusted P=.009), % predicted maximum HR (FDR-adjusted P<.001), and systolic blood pressure-to-workload slope (FDR-adjusted P=.01) were associated with nonactive HR but not associated with daily steps. CONCLUSIONS: Our findings suggest that smartwatch-based assessments are associated with a broad array of cardiorespiratory fitness responses in the community, including measures of global fitness (peak VO2), ventilatory efficiency, and blood pressure response to exercise. Metrics captured by wearable devices offer a valuable opportunity to use extensive data on health factors and behaviors to provide a window into individual cardiovascular fitness levels.

Pain-Related Smoking Expectancies and Smoking Behavior Among U.S. Adult Cigarette Smokers with Chronic Pain.

BACKGROUND: This study investigated the factor structure of a measure of pain-smoking interrelations and expectancies (pain and smoking inventory (PSI)) and examined associations with risk factors for smoking maintenance among smokers with chronic pain (CP). METHOD: Participants (n = 504; M age = 46 ± 13 years; 58% female) completed an online survey about health-related factors and smoking characteristics. Data were analyzed using Horn's parallel analysis (PA) and multiple linear regression. RESULTS: PA indicated that a single-dimension structure was the best fit for the PSI. Our regression model accounted for 34% of the variance in PSI score. The PSI was associated with younger age, higher education, poorer physical functioning, greater pain severity and pain intensity, higher psychological distress, greater nicotine dependence, lower self-efficacy and greater perceived difficulty quitting, and lifetime use of behavioral treatment for quitting smoking. CONCLUSION: This research is the first step in identifying potential targets for smoking cessation approaches tailored to smokers with CP.

Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial.

BACKGROUND: Smartphone apps and mobile health devices offer innovative ways to collect longitudinal cardiovascular data. Randomized evidence regarding effective strategies to maintain longitudinal engagement is limited. OBJECTIVE: This study aimed to evaluate smartphone messaging interventions on remote transmission of blood pressure (BP) and heart rate (HR) data. METHODS: We conducted a 2 × 2 × 2 factorial blinded randomized trial with randomization implemented centrally to ensure allocation concealment. We invited participants from the Electronic Framingham Heart Study (eFHS), an e-cohort embedded in the FHS, and asked participants to measure their BP (Withings digital cuff) weekly and wear their smartwatch daily. We assessed 3 weekly notification strategies to promote adherence: personalized versus standard; weekend versus weekday; and morning versus evening. Personalized notifications included the participant's name and were tailored to whether or not data from the prior week were transmitted to the research team. Intervention notification messages were delivered weekly automatically via the eFHS app. We assessed if participants transmitted at least one BP or HR measurement within 7 days of each notification after randomization. Outcomes were adherence to BP and HR transmission at 3 months (primary) and 6 months (secondary). RESULTS: Of the 791 FHS participants, 655 (82.8%) were eligible and randomized (mean age 53, SD 9 years; 392/655, 59.8% women; 596/655, 91% White). For the personalized versus standard notifications, 38.9% (126/324) versus 28.8% (94/327) participants sent BP data at 3 months (difference=10.1%, 95% CI 2.9%-17.4%; P=.006), but no significant differences were observed for HR data transmission (212/324, 65.4% vs 209/327, 63.9%; P=.69). Personalized notifications were associated with increased BP and HR data transmission versus standard at 6 months (BP: 107/291, 36.8% vs 66/295, 22.4%; difference=14.4%, 95% CI 7.1- 21.7%; P<.001; HR: 186/281, 66.2% vs 158/281, 56.2%; difference=10%, 95% CI 2%-18%; P=.02). For BP and HR primary or secondary outcomes, there was no evidence of differences in data transmission for notifications sent on weekend versus weekday or morning versus evening. CONCLUSIONS: Personalized notifications increased longitudinal adherence to BP and HR transmission from mobile and digital devices among eFHS participants. Our results suggest that personalized messaging is a powerful tool to promote adherence to mobile health systems in cardiovascular research. TRIAL REGISTRATION: ClinicalTrials.gov NCT03516019; https://clinicaltrials.gov/ct2/show/NCT03516019.

Step Count, Self-reported Physical Activity, and Predicted 5-Year Risk of Atrial Fibrillation: Cross-sectional Analysis.

BACKGROUND: Physical inactivity is a known risk factor for atrial fibrillation (AF). Wearable devices, such as smartwatches, present an opportunity to investigate the relation between daily step count and AF risk. OBJECTIVE: The objective of this study was to investigate the association between daily step count and the predicted 5-year risk of AF. METHODS: Participants from the electronic Framingham Heart Study used an Apple smartwatch. Individuals with diagnosed AF were excluded. Daily step count, watch wear time (hours and days), and self-reported physical activity data were collected. Individuals' 5-year risk of AF was estimated, using the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)-AF score. The relation between daily step count and predicted 5-year AF risk was examined via linear regression, adjusting for age, sex, and wear time. Secondary analyses examined effect modification by sex and obesity (BMI≥30 kg/m2), as well as the relation between self-reported physical activity and predicted 5-year AF risk. RESULTS: We examined 923 electronic Framingham Heart Study participants (age: mean 53, SD 9 years; female: n=563, 61%) who had a median daily step count of 7227 (IQR 5699-8970). Most participants (n=823, 89.2%) had a <2.5% CHARGE-AF risk. Every 1000 steps were associated with a 0.08% lower CHARGE-AF risk (P<.001). A stronger association was observed in men and individuals with obesity. In contrast, self-reported physical activity was not associated with CHARGE-AF risk. CONCLUSIONS: Higher daily step counts were associated with a lower predicted 5-year risk of AF, and this relation was stronger in men and participants with obesity. The utility of a wearable daily step counter for AF risk reduction merits further investigation.

Association of Habitual Physical Activity With Cardiovascular Disease Risk.

RATIONALE: A sedentary lifestyle is associated with increased risk for cardiovascular disease (CVD). Smartwatches enable accurate daily activity monitoring for physical activity measurement and intervention. Few studies, however, have examined physical activity measures from smartwatches in relation to traditional risk factors associated with future risk for CVD. OBJECTIVE: To investigate the association of habitual physical activity measured by smartwatch with predicted CVD risk in adults. METHODS AND RESULTS: We enrolled consenting FHS (Framingham Heart Study) participants in an ongoing eFHS (electronic Framingham Heart Study) at the time of their FHS research center examination. We provided participants with a smartwatch (Apple Watch Series 0) and instructed them to wear it daily, which measured their habitual physical activity as the average daily step count. We estimated the 10-year predicted risk of CVD using the American College of Cardiology/American Heart Association 2013 pooled cohort risk equation. We estimated the association between physical activity and predicted risk of CVD using linear mixed effects models adjusting for age, sex, wear time, and familial structure. Our study included 903 eFHS participants (mean age 53±9 years, 61% women, 9% non-White) who wore the smartwatch ≥5 hours per day for ≥30 days. Median daily step count was similar among men (7202 with interquartile range 3619) and women (7260 with interquartile range 3068; P=0.52). Average 10-year predicted CVD risk was 4.5% (interquartile range, 6.1%) for men and 1.2% (interquartile range, 2.2%) for women (P=1.3×10-26). Every 1000 steps higher habitual physical activity was associated with 0.18% lower predicted CVD risk (P=3.2×10-4). The association was attenuated but remained significant after further adjustment for body mass index (P=0.01). CONCLUSIONS: In this community-based sample of adults, higher daily physical activity measured by a study smartwatch was associated with lower predicted risk of CVD. Future research should examine the longitudinal association of prospectively measured daily activity and incident CVD.

Associations Between Smoking Status and Physical and Mental Health-Related Quality of Life Among Individuals With Mobility Impairments.

BACKGROUND: In the general population, quitting smoking is associated with improved health-related quality of life (QoL), but this association has not been examined in smokers with chronic mobility impairments (MIs). PURPOSE: We examined associations between smoking status and health-related QoL over 6 months, and whether relationships are moderated by depression and MI severity. METHODS: This is a secondary analysis of a smoking cessation induction trial among smokers with MIs (n = 241, 56% female, 36% Black) assessed at baseline, and 4 and 6 months after. Participants were grouped into "Smokers" (smoking at 4 and 6 months), "Abstainers" (quit at 4 and 6 months), "Relapsers" (relapsed at 6 months), and "Late-quitters" (quit at 6 months). Physical and mental health-related QoL was assessed with the Short-Form Health Survey. Depression was defined as scores ≥10 on the Patient Health Questionnaire, and MI severity by the use of skilled care for personal needs. Data were analyzed with linear mixed models. RESULTS: Aggregating across time, among nondepressed participants, compared with "Smokers," the "Abstainer," and "Late-quitter" groups improved their physical health scores. "Late-quitters" also improved compared with "Relapsers." Among the total sample, compared with "Smokers," "Abstainers" showed improvements in mental health scores overtime, whereas "Relapsers" improved their score at 4 months, and "Late-quitters" improved at 6 months. CONCLUSIONS: Quitting smoking is associated with improvements in physical health-related QoL regardless of the severity of MI but only among those without depression at baseline. For mental health-related QoL, associations with quitting smoking were independent of baseline depression and severity of MI.

Reporting Treatment Fidelity in Behavioral Tobacco Treatment Clinical Trials: Scoping Review and Measurement Recommendations.

INTRODUCTION: Adoption of rigorous standards for reporting treatment fidelity is essential for advancing discovery, validation, and implementation of behavioral treatments. Whereas the NIH Behavior Change Consortium (BCC) developed an assessment tool to assess the quality of reporting and monitoring of treatment fidelity across health behavior change interventions, it has not yet been applied specifically to treatment fidelity in behavioral tobacco treatment trials. AIMS AND METHODS: We conducted a scoping review of peer-reviewed, clinical trials of behavioral adult tobacco treatment interventions published in English between 2006 and 2018. Using the BCC treatment fidelity checklist, articles were coded for the presence or absence of various treatment fidelity strategies within each of 5 domains: Design, Training, Delivery, Receipt, and Enactment. Eligible articles (N = 755) were coded by two independent coders. RESULTS: The proportion of reporting strategies varied within the fidelity domains, ranging from 5.2% to 96.3% in Design, 1.9% to 24.9% in Training, 2.6% to 32.3% in Delivery, 5.2% to 44.3% in Receipt, and 6.7% to 43.2% in Enactment. The mean proportion of adherence to treatment fidelity strategies within each domain was: Design (68%), Training (14%), Delivery (15%), Receipt (16%), and Enactment (25%). Only 11 studies achieved ≥80% reporting across >1 fidelity domain. There was no evidence for improvement in fidelity reporting across the 13-year time frame from the initial BCC publication to the present. CONCLUSIONS: These findings illustrate the lack of consistency in fidelity reporting in tobacco treatment trials and underscore the challenges faced in evaluating rigor and reproducibility, as well as interpretation and dissemination of findings. Recommendations are made for improving fidelity reporting in tobacco treatment trials. IMPLICATIONS: The SRNT Treatment Research Network sponsored a scoping review to summarize the current state of reporting treatment fidelity and make recommendations for best practices in reporting fidelity in tobacco treatment trials. The review identified a lack of consistency in fidelity reporting, illustrating the challenges faced in evaluating rigor, and reproducibility, as well as interpretation and dissemination of findings.

Effect of the School-Based Asthma Care for Teens (SB-ACT) program on asthma morbidity: a 3-arm randomized controlled trial.

Urban adolescents with asthma often have inadequate preventive care. We tested the effectiveness of the School-Based Asthma Care for Teens (SB-ACT) program on asthma morbidity and preventive medication adherence.Methods:Subjects/Setting- 12-16yr olds with persistent asthma in Rochester, NY schools. Design- 3-group randomized trial (2014-2019). SB-ACT Intervention- Two core components: 1) Directly observed therapy (DOT) of preventive asthma medications, provided in school for at least 6-8 weeks for the teen to learn proper technique and experience the benefits of daily preventive therapy; 2) 4-6 weeks later, 3 sessions of motivational interviewing (MI) to discuss potential benefits from DOT and enhance motivation to take medication independently. We included 2 comparison groups: 1) DOT-only for 6-8wks, and 2) asthma education (AE) attention control. Masked follow-up assessments were conducted at 3, 5, and 7mos. Outcomes- Mean number of symptom-free days (SFDs)/2 weeks and medication adherence. Analyses- Modified intention-to-treat repeated measures analysis.Results: We enrolled 430 teens (56% Black, 32% Hispanic, 85% Medicaid). There were no group differences at baseline. We found no difference in SFDs at any follow-up timepoint. More teens in the SB-ACT and DOT-only groups reported having a preventive asthma medication at each follow-up (p<.001), and almost daily adherence at 3 and 5-months (p<.001, p=.003) compared to AE. By 7 months there were no significant differences between groups in adherence (p=.49).Conclusion: SB-ACT improved preventive medication availability and short-term adherence but did not impact asthma symptoms. Further work is needed to create developmentally appropriate and effective interventions for this group.

Text-messaging to promote smoking cessation among individuals with opioid use disorder: quantitative and qualitative evaluation.

INTRODUCTION: Individuals with opioid use disorder (OUD) who smoke cigarettes have high tobacco-related comorbidities, lack of access to tobacco treatment, lack of inclusion in smoking cessation trials, and remain understudied in the mobile health field. The purpose of this study was to understand patients' with OUD perceptions of 1) text message programs to promote smoking cessation, 2) content and features to include in such a program, and 3) how message content should be framed. METHODS: From December 2018 to February 2019, we recruited 20 hospitalized individuals with a concurrent diagnosis of OUD and tobacco dependence at Boston Medical Center (BMC), the largest safety-net hospital in New England. We surveyed participants' cell phone use, their interest in a text message program to promote smoking cessation, and their reactions to and ratings of a series of 26 prototype texts. We then conducted open-ended interviews to elicit content and suggestions on how text message interventions can improve motivation to increase smoking cessation among individuals with OUD. The interviews also included open-ended inquiries exploring message ratings and message content, inquiries about preferences for message duration, frequency, and personalization. RESULTS: Quantitative analysis of questionnaire data indicated that the majority of participants owned a cell phone (95%, 19/20). Most participants (60%, 12/20) reported that they would be interested or very interested in receiving text messages about smoking cessation. Text messages about the health benefits of quitting were rated the highest among various categories of text messages. Qualitative analysis showed that almost every participant felt that text messages would help motivate smoking cessation given the support it would provide. CONCLUSIONS: This study demonstrates that individuals with OUD who smoke cigarettes perceive that a text message program designed to promote smoking cessation would motivate and support smoking cessation efforts. Our findings demonstrate that such a program is feasible as participants own cell phones, frequently send and receive text messages, and have unlimited text message plans. Findings from this study provide valuable insight into content and features to include when developing text message programs to address barriers to smoking cessation in individuals who have OUD and smoke cigarettes.

Perceived Pain and Smoking Interrelations and Expectancies Are Associated With Pain and Smoking Cessation in Individuals With Mobility Impairments.

INTRODUCTION: Smoking and pain are highly prevalent among individuals with mobility impairments (MIs; use assistive devices to ambulate). The role of pain-related smoking motives and expectancies in smoking cessation is unknown. We examined cross-sectional and prospective associations between a novel measure of pain-related smoking motives (how smokers with pain perceive their pain and smoking to be interrelated) and pain and smoking behavior in smokers with MI. METHODS: This is a secondary data analysis of a smoking cessation induction trial (N = 263; 55% female) in smokers with MI. Participants did not have to want to quit to enroll. Pain-related smoking motives and expectancies were assessed at baseline with the pain and smoking inventory (PSI) which measures perceived pain and smoking interrelations in three distinct but related domains (smoking to cope with pain, pain as a motivator of smoking and as a barrier to cessation). Other measures included pain occurrence and interference, nicotine dependence, motivation and self-efficacy to quit smoking, and number of cigarettes per day. Biochemically verified smoking abstinence was assessed at 6 months. RESULTS: PSI scores were significantly higher among smokers with chronic pain occurrence compared to occasional and to no occurrence (p < .002) and were associated with greater pain interference (ps < .01) and lower self-efficacy to quit smoking (ps < .01). In prospective analyses adjusted for age, treatment group, and chronic pain, only expectancies of smoking to help cope with pain predicted lower odds of abstinence. CONCLUSIONS: Targeting expectancies of smoking as a mechanism to cope with pain may be useful in increasing smoking cessation in pain populations. IMPLICATIONS: Individuals with MI have a high prevalence of smoking and pain, yet the extent to which this population perceives pain and smoking to be interrelated is unknown. This is the first article to examine prospective associations between a novel measure of perceived pain and smoking interrelations (PSI) and smoking outcomes. The PSI was associated with greater pain and lower self-efficacy for quitting. Prospectively, the PSI subscale tapping into expectancies that smoking help coping with pain predicted a lower probability of smoking abstinence. In smokers with MI, expectancies of smoking as pain-coping mechanism may be an important clinical target.

Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

BACKGROUND: eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare the digital data to traditional data collection. OBJECTIVE: The aim of this study was to evaluate adherence of the eFHS app-based surveys deployed at baseline (time of enrollment in the eCohort) and every 3 months up to 1 year, and to compare baseline digital surveys with surveys collected at the research center. METHODS: We defined adherence rates as the proportion of participants who completed at least one survey at a given 3-month period and computed adherence rates for each 3-month period. To evaluate agreement, we compared several baseline measures obtained in the eFHS app survey to those obtained at the in-person research center exam using the concordance correlation coefficient (CCC). RESULTS: Among the 1948 eFHS participants (mean age 53, SD 9 years; 57% women), we found high adherence to baseline surveys (89%) and a decrease in adherence over time (58% at 3 months, 52% at 6 months, 41% at 9 months, and 40% at 12 months). eFHS participants who returned surveys were more likely to be women (adjusted odds ratio [aOR] 1.58, 95% CI 1.18-2.11) and less likely to be smokers (aOR 0.53, 95% CI 0.32-0.90). Compared to in-person exam data, we observed moderate agreement for baseline app-based surveys of the Physical Activity Index (mean difference 2.27, CCC=0.56), and high agreement for average drinks per week (mean difference 0.54, CCC=0.82) and depressive symptoms scores (mean difference 0.03, CCC=0.77). CONCLUSIONS: We observed that eFHS participants had a high survey return at baseline and each 3-month survey period over the 12 months of follow up. We observed moderate to high agreement between digital and research center measures for several types of surveys, including physical activity, depressive symptoms, and alcohol use. Thus, this digital data collection mechanism is a promising tool to collect data related to cardiovascular disease and its risk factors.

Association of Habitual Physical Activity With Home Blood Pressure in the Electronic Framingham Heart Study (eFHS): Cross-sectional Study.

BACKGROUND: When studied in community-based samples, the association of physical activity with blood pressure (BP) remains controversial and is perhaps dependent on the intensity of physical activity. Prior studies have not explored the association of smartwatch-measured physical activity with home BP. OBJECTIVE: We aimed to study the association of habitual physical activity with home BP. METHODS: Consenting electronic Framingham Heart Study (eFHS) participants were provided with a study smartwatch (Apple Watch Series 0) and Bluetooth-enabled home BP cuff. Participants were instructed to wear the watch daily and transmit BP values weekly. We measured habitual physical activity as the average daily step count determined by the smartwatch. We estimated the cross-sectional association between physical activity and average home BP using linear mixed effects models adjusting for age, sex, wear time, antihypertensive drug use, and familial structure. RESULTS: We studied 660 eFHS participants (mean age 53 years, SD 9 years; 387 [58.6%] women; 602 [91.2%] White) who wore the smartwatch 5 or more hours per day for 30 or more days and transmitted three or more BP readings. The mean daily step count was 7595 (SD 2718). The mean home systolic and diastolic BP (mmHg) were 122 (SD 12) and 76 (SD 8). Every 1000 increase in the step count was associated with a 0.49 mmHg lower home systolic BP (P=.004) and 0.36 mmHg lower home diastolic BP (P=.003). The association, however, was attenuated and became statistically nonsignificant with further adjustment for BMI. CONCLUSIONS: In this community-based sample of adults, higher daily habitual physical activity measured by a smartwatch was associated with a moderate, but statistically significant, reduction in home BP. Differences in BMI among study participants accounted for the majority of the observed association.

Patient-Physician Discussions on Lung Cancer Screening: A Missed Teachable Moment to Promote Smoking Cessation.

INTRODUCTION: Little is known about whether patients and physicians perceive lung cancer screening (LCS) as a teachable moment to promote smoking cessation or the degree to which physicians in "real world" settings link LCS discussions with smoking cessation counseling. We sought to characterize patient and physician perspectives of discussions about smoking cessation during LCS. METHODS: We conducted a qualitative study (interviews and focus groups) with 21 physicians and 28 smokers screened in four diverse hospitals. Transcripts were analyzed for characteristics of communication about smoking cessation and LCS, the perceived effect on motivation to quit smoking, the degree to which physicians leverage LCS as a teachable moment to promote smoking cessation, and suggestions to improve patient-physician communication about smoking cessation in the context of LCS. RESULTS: Patients reported that LCS made them more cognizant of the health consequences of smoking, priming them for a teachable moment. While physicians and patients both acknowledged that smoking cessation counseling was frequent, they described little connection between their discussions regarding LCS and smoking cessation counseling. Physicians identified several barriers to integrating discussions on smoking cessation and LCS. They volunteered communication strategies by which LCS could be leveraged to promote smoking cessation. CONCLUSIONS: LCS highlights the harms of smoking to patients who are chronic, heavy smokers and thus may serve as a teachable moment for promoting smoking cessation. However, this opportunity is typically missed in clinical practice. IMPLICATIONS: LCS highlights the harms of smoking to heavily addicted smokers. Yet both physicians and patients reported little connection between LCS and tobacco treatment discussions due to multiple barriers. On-site tobacco treatment programs and post-screening messaging tailored to the LCS results are needed to maximize the health outcomes of LCS, including smoking quit rates and longer-term smoking-related morbidity and mortality.

Patient and Clinician Perspectives on Shared Decision-making in Early Adopting Lung Cancer Screening Programs: a Qualitative Study.

BACKGROUND: Guidelines recommend, and Medicare requires, shared decision-making between patients and clinicians before referring individuals at high risk of lung cancer for chest CT screening. However, little is known about the extent to which shared decision-making about lung cancer screening is achieved in real-world settings. OBJECTIVE: To characterize patient and clinician impressions of early experiences with communication and decision-making about lung cancer screening and perceived barriers to achieving shared decision-making. DESIGN: Qualitative study entailing semi-structured interviews and focus groups. PARTICIPANTS: We enrolled 36 clinicians who refer patients for lung cancer screening and 49 patients who had undergone lung cancer screening in the prior year. Participants were recruited from lung cancer screening programs at four hospitals (three Veterans Health Administration, one urban safety net). APPROACH: Using content analysis, we analyzed transcripts to characterize communication and decision-making about lung cancer screening. Our analysis focused on the recommended components of shared decision-making (information sharing, deliberation, and decision aid use) and barriers to achieving shared decision-making. KEY RESULTS: Clinicians varied in the information shared with patients, and did not consistently incorporate decision aids. Clinicians believed they explained the rationale and gave some (often purposely limited) information about the trade-offs of lung cancer screening. By contrast, some patients reported receiving little information about screening or its trade-offs and did not realize the CT was intended as a screening test for lung cancer. Clinicians and patients alike did not perceive that significant deliberation typically occurred. Clinicians perceived insufficient time, competing priorities, difficulty accessing decision aids, limited patient comprehension, and anticipated patient emotions as barriers to realizing shared decision-making. CONCLUSIONS: Due to multiple perceived barriers, patient-clinician conversations about lung cancer screening may fall short of guideline-recommended shared decision-making supported by a decision aid. Consequently, patients may be left uncertain about lung cancer screening's rationale, trade-offs, and process.

Parental Depression is Prospectively Associated With Lower Smoking Cessation Rates and Poor Child Asthma Outcomes.

Background: Depressive symptoms are elevated in parents of asthmatic children compared with parents of healthy children. The role of depression in smoking cessation and pediatric asthma outcomes in this population is unclear. Purpose: To prospectively examine the effect of parent depression on smoking cessation and child asthma outcomes. Methods: Secondary analysis from a cessation induction trial involving Motivational Interviewing (MI) and biomarker feedback on secondhand smoke exposure (SHSe). Parents (n=341) had an asthmatic child (mean age=5.2 years) and did not have to want to quit smoking to enroll. Intervention included asthma education, MI, and SHSe feedback plus randomization to six counseling (MI; repeated feedback) or control calls (brief check on asthma) for 4 months. Depressive symptoms were defined as scoring ≥22 on the Center for Epidemiologic Study-Depression scale. Smoking outcomes were bioverified 7- and 30-day point-prevalence abstinence (ppa). Child asthma outcomes were past month functional limitation, health care utilization, and number of days with asthma symptoms. Data were obtained at baseline, 2, 4, and 6 months. Results: Parental depression was associated with lower odds of abstinence (7-day ppa odds ratio [OR]=0.38, 95% confidence interval [CI]=0.23, 0.64; 30-day ppa OR=0.27, 95% CI=0.15, 0.47), greater odds of child health care utilization for asthma (OR=1.71, 95% CI=1.01, 2.92), and greater child asthma functional limitation (B=0.16, SE=0.06, p=.03) even after controlling for smoking status. Depression predicted a greater number of child asthma symptom days (B=1.08, SE=0.44, p=.01), but this became nonsignificant after controlling for smoking status. Conclusions: Among parents who smoke, both depressive symptoms and smoking should be targeted for treatment aimed at improving pediatric asthma.

Twelve-Month Outcomes of a Group-Randomized Community Health Advocate-Led Smoking Cessation Intervention in Public Housing.

Background: Lower rates of smoking cessation are a major reason for the higher prevalence of smoking among socioeconomically disadvantaged adults. Because barriers to quitting are both more numerous and severe, socioeconomically disadvantaged smokers may benefit from more intensive intervention. We sought to determine whether a smoking cessation intervention delivered by public housing residents trained as Tobacco Treatment Advocates (TTAs) could increase utilization of cessation resources and increase abstinence. Methods: We conducted a group-randomized trial among Boston public housing residents who were interested in quitting smoking. Participants at control sites received standard cessation materials and a one-time visit from a TTA who provided basic counseling and information about cessation resources. Participants at intervention sites were eligible for multiple visits by a TTA who employed motivational interviewing, cessation counseling, and navigation to encourage smokers to utilize cessation treatment (Smokers' Quitline and clinic-based programs). Utilization and 7-day and 30-day point prevalence abstinence were assessed at 12 months. Self-reported abstinence was biochemically verified. Results: Intervention participants (n = 121) were more likely than control participants (n = 129) to both utilize treatment programs (adjusted odds ratio [aOR]: 2.15; 95% confidence interval [CI]: 0.93-4.91) and 7-day and 30-day point prevalence abstinence (aOR: 2.60 (1.72-3.94); 2.98 (1.56-5.68), respectively). Mediation analysis indicated that the higher level of utilization did not explain the intervention effect. Conclusions: An intervention delivered by peer health advocates was able to increase utilization of treatment programs and smoking abstinence among public housing residents. Future studies of similar types of interventions should identify the key mechanisms responsible for success. Implications: In order to narrow the large and growing socioeconomic disparity in smoking rates, more effective cessation interventions are needed for low-income smokers. Individual culturally-relevant coaching provided in smokers' residences may help overcome the heightened barriers to cessation experienced by this group of smokers. In this study among smokers residing in public housing, an intervention delivered by peer health advocates trained in motivational interviewing, basic smoking cessation skills, and client navigation significantly increased abstinence at 12 months. Future research should address whether these findings are replicable in other settings both within and outside of public housing.

Smokers who have children with asthma: Perceptions about child secondhand smoke exposure and tobacco use initiation and parental willingness to participate in child-focused tobacco interventions.

OBJECTIVE: This study examined, among parents who smoke and have children with asthma, perceptions about child secondhand smoke exposure (SHSe), child tobacco use (TU) initiation, and parent willingness to participate in child-focused tobacco interventions. METHODS: Participants were 300 caregivers who smoked and had a child with asthma (aged 10-14). Parents completed an online survey and self-reported perceptions about child SHSe elimination, child TU prevention, and willingness to participate in three types of interventions with and without their child (SHSe reduction intervention, tobacco prevention intervention, and the combination of the two). Correlates of perceptions and willingness were examined. RESULTS: Parents who were ready to quit smoking and who reported home smoking bans (HSBs) were more motivated to eliminate SHSe (p < 0.05). Being white, younger, ready to quit, and having HSBs were associated with greater confidence to eliminate SHSe (p < 0.05). Parents with HSBs reported higher perceived importance about preventing child TU (p < 0.05). Parents were less confident about preventing male children from using tobacco (p = 0.001). Parents were highly willing to participate in all the described intervention approaches, with or without their child. CONCLUSIONS: Parents were willing to participate in child-focused tobacco interventions, with or without their child with asthma, including interventions that address both child SHSe and TU prevention. This research demonstrates the acceptability of child-focused tobacco interventions among a high-risk population and may be a foundational step for intervention development.

The longitudinal, bidirectional relationships between parent reports of child secondhand smoke exposure and child smoking trajectories.

This study examines the longitudinal relationships between child smoking and secondhand smoke exposure (SHSe). Participants were 222 parent-child dyads. The parents smoked, had a child with (48%) or without asthma, and were enrolled in a smoking/health intervention. Parent-reported child SHSe was measured at baseline and 4, 6, and 12-month follow-ups; self-reported child smoking was assessed at these points and at 2-months. A parallel process growth model was used. Baseline child SHSe and smoking were correlated (r = 0.30). Changes in child SHSe and child smoking moved in tandem as evidenced by a correlation between the linear slopes of child smoking and SHSe (r = 0.32), and a correlation between the linear slope of child smoking and the quadratic slope of child SHSe (r = - 0.44). Results may inform interventions with the potential to reduce child SHSe and smoking among children at increased risk due to their exposure to parental smoking.