Faculty Bibliography

INTRODUCTION/BACKGROUND:Lupus nephritis (LN) is a frequent complication of SLE, occurring in up to 60% of adult patients and ultimately progressing from acute inflammation to chronicity with fibrosis and end-stage kidney failure in 10%-30% of patients. Racial/ethnic minority patients with lupus have worse long-term outcomes, including progression to end-stage renal disease and overall mortality. A major challenge in the management of patients with SLE is delayed identification of early kidney disease, which ultimately leads to a greater burden on both patients and the health system. METHODS AND ANALYSIS/METHODS:Using a mixed methods approach, this study will develop, adapt and evaluate a home urine sampling protocol with a text-messaging reminder and data capture system for patients at elevated risk of de novo LN or relapse. First, a feasibility pilot using a single-group trial design (n=18) will be implemented, with a feasibility assessment and qualitative, debriefing interviews with patients to further refine the intervention. The second phase is a comparative effectiveness trial of the intervention (n=160) with the primary outcome of biopsy eligibility, that is, the participant has a clinical indication for a kidney biopsy (urine protein-creatinine ratio≥0.5), whether or not the patient actually undergoes the biopsy procedure. The randomised trial includes an economic evaluation of the adapted home urinalysis protocol. DISCUSSION AND DISSEMINATION/CONCLUSIONS:It is unknown whether weekly home-based urine sampling can identify proteinuria sooner than standard care; if found sooner, kidney problems could be diagnosed earlier, hopefully leading to earlier care for less-involved disease and subsequent reduced morbidity. The data collected in this trial will inform future feasibility and effectiveness of text-messaging-based home urine sampling interventions. TRIAL REGISTRATION NUMBER/BACKGROUND:The randomised trial will be registered with ClincialTrials.gov prior to enrolment start.

This cross-sectional study included 18,797 participants from six longitudinal cohorts (CARDIA, FHS Gen III, HCHS/SOL, MESA, MiHeart, and REGARDS). 5,806 of them were with high-sensitivity C-reactive protein (hs-CRP) measurements. We found that among exclusive electronic cigarette (EC) use was associated with significantly lower high-sensitivity C-reactive protein (hs-CRP) levels compared to exclusive combustible cigarette use, suggesting a potentially lower inflammatory burden. hs-CRP levels in dual users and former smokers currently using EC were comparable to those observed in exclusive cigarette smokers. In contrast, individuals who exclusively used ECs showed no significant difference in hs-CRP levels compared to never smokers. These findings have important implications for tobacco regulation, public health, and clinical practice, highlighting the need for continued monitoring of EC-related health impacts.

OBJECTIVE:Both diabetes and smoking significantly increase the risk of cardiovascular disease (CVD). Understanding whether a diagnosis of diabetes can be leveraged to promote smoking cessation is a gap in the literature. METHODS:We used data from the US National Health Interview Survey, 2006 to 2018, to investigate the relationship between self-report of diagnosis of diabetes and subsequent smoking abstinence among 142,884 respondents who reported regular smoking at baseline. Effect sizes were presented as hazard ratios (HRs) derived from multivariable Cox regression models adjusted for potential confounders using diabetes as a time-dependent covariate. Subgroup-specific estimates were obtained using interaction terms between diabetes and variables of interest. RESULTS:A self-reported diagnosis of diabetes was associated with smoking abstinence (HR: 1.21; 95% CI: 1.16 to 1.27). The strength of the association varied based on race (P for interaction: 0.004), where it was strongest in African Americans (HR: 1.44; 95% CI: 1.29 to 1.60); income (P for interaction <0.001), where it was strongest in those with a yearly income less than $35,000 (HR: 1.45; 95% CI: 1.36 to 1.53); and educational attainment (P for interaction <0.001), where it was strongest in those who did not attend college (HR: 1.48; 95% CI: 1.40 to 1.57). CONCLUSION/CONCLUSIONS:Among adults who smoke, a diagnosis of diabetes is significantly associated with subsequent smoking abstinence. The association is strongest in socially disadvantaged demographics, including African Americans, low-income individuals, and those who did not attend college.

BACKGROUND/UNASSIGNED:The burden of pediatric mental disorders in low-and middle-income countries (LMICs) is tremendous, but solutions for addressing the burden remain limited. Although digital solutions have potential to improve prevention services, such solutions have not been systematically tested in these countries. OBJECTIVE/UNASSIGNED:This study explores the use of a digital parenting intervention tool designed for pediatric behavioral health, known as the Pediatric-Behavioral Health Digital Tool, in a preventive service model for low resource communities. We study the feasibility of implementing this new digital health service model and preliminary estimate the potential impacts on parenting and child social emotional outcomes when the program is implemented in faith-based organizations in Uganda. The Pediatric-Behavioral Health Digital Tool is a preventive intervention designed to be implemented by trained community-health-workers to facilitate caregivers' access to the preventive mental health service in community for their young children. The tool is based on the screening, brief intervention, and referral to treatment prevention service model for promoting pediatric behavioral and mental health. METHODS/UNASSIGNED:The evaluation study was designed using a pre-post assessment design. The content in Pediatric-Behavioral Health Digital Tool was co-designed with local expert and iteratively adapted based on parents and caregivers as well as community-health-workers and experts who were invited to provide their feedback and suggestions for improvements in content, functions, and delivery model through a series of focus groups and workshops. This pilot evaluation focuses on the pre-post changes of the intervention families (91 families) and 10 community-health-workers. RESULTS/UNASSIGNED:We found high acceptability, appropriateness, and usefulness of the program based on the intervention families' community-health-workers' report. Intervention parents felt safe in using the digital toolkit. Parents felt comfortable for the CHWs asked them personal questions. In estimating the impacts, we found some expected findings on parenting and child social emotional health. Specifically, we found intervention parents become more mindful in their parenting (d=1.61, p=.049), and felt more effective in discipline their child's misbehavior (d=1.29, p=.003) after they receive the intervention. For children, we found improvement on children's social emotional outcomes, measured by decreased parent-child conflict (d=-1.08, p=.002) and increased child emotional regulation skills (d=1.0, p=.049) after their parents receive the intervention. CONCLUSIONS/UNASSIGNED:Our Pediatric-Behavioral Health Digital Tool has potential to provide a cost-effective service solution to provide preventive mental health care in communities to promote child social-emotional and mental wellbeing in low-resource settings.

BACKGROUND:Engaging researchers as research subjects is key to informing the development of effective and relevant research practices. It is important to understand how best to engage researchers as research subjects. METHODS:factorial experiment, as part of a Multiphase Optimization Strategy, was performed to evaluate effects of four recruitment strategy components on participant opening of an emailed survey link and survey completion. Participants were members of three US-based national health research consortia. A stratified simple random sample was used to assign potential survey participants to one of 16 recruitment scenarios. Recruitment strategy components were intended to address both intrinsic and extrinsic sources of motivation, including: $50 gift, $1,000 raffle, altruistic messaging, and egoistic messaging. Multivariable generalized linear regression analyses adjusting for consortium estimated component effects on outcomes. Potential interactions among components were tested. Results are reported as adjusted odds ratios (aOR) with 95% confidence intervals (95% CI). RESULTS:Surveys were collected from June to December 2023. A total of 418 participants were included from the consortia, with final analytical sample of 400 eligible participants. Out of the final sample, 82% (341) opened the survey link and 35% (147) completed the survey. Altruistic messaging increased the odds of opening the survey (aOR 2.02, 95% CI: 1.35-2.69, p = 0.033), while egoistic messaging significantly reduced the odds of opening the survey (aOR 0.56, 95%CI 0.38-0.75, p = 0.08). The receipt of egoistic messaging increased the odds of completing the survey once opened (aOR 1.81, 95%CI: 1.39-2.23, p < 0.05). There was a significant negative interaction effect between the altruistic appeal and egoistic messaging strategies for survey completion outcome. Monetary incentives did not a have a significant impact on survey completion. CONCLUSION/CONCLUSIONS:Intrinsic motivation is likely to be a greater driver of health researcher participation in survey research than extrinsic motivation. Altruistic and egoistic messaging may differentially impact initial interest and survey completion and when combined may lead to improved rates of recruitment, but not survey completion. Further research is needed to determine how to best optimize message content and whether the effects observed are modified by survey burden.

BACKGROUND:The present research aimed to determine the effect of an educational intervention based on the extended theory of planned behavior (ETPB) on waterpipe (WT) smoking cessation in women. METHODS:The present quasi-experimental had a pre-test, post-test design with 3, 6 and 12 months follow-ups was conducted in Bandar Abbas city, south of Iran in December 2021-March 2023. A total of 448 women over the age of 15 (224 in the intervention group (IG), 224 in the control group (CG)), using a two-stage cluster sampling method participated. The educational intervention focused on WT smoking cessation implemented in 14 sessions. The educational methods in the training sessions were lectures, collaborative discussions, Q&As, brainstorming, role plays, and peer education. The main outcome was WT cessation behavior. Repeated measures ANOVA tests and post hoc were run to compare the IG and CG at baseline in terms of demographic variables, t-test and chi square test, and in the four points of time of data collection. The data were analyzed in Stata14. A p-value < 0.05 was considered as statistically significant. RESULTS:The mean and standard deviation of WT cessation behavior and all ETPB constructs in the IG was significantly higher than the CG. After the educational intervention, in the IG, the perceived behavioral control, attitude, subjective norm, intention and knowledge increased, and the weekly smoking and WT smoking habit decreased (P < 0.001). The CG did not have any significant change in other variables except for the increased knowledge score. During the 12-month follow-up, the cessation rate was 43.81% (P = 0.645) in the IG and 7.45% in the CG (P = 0.081). CONCLUSIONS:The educational intervention positively affected WT smoking reduction and cessation in women through influencing the ETPB constructs. It is strongly recommended to design theory-based interventions beyond the individual level with an emphasis on interpersonal relationships to facilitate WT cessation as far as possible.

BACKGROUND/UNASSIGNED:Ecological momentary assessment (EMA) is an increasingly used tool for data collection in behavioral research, including smoking cessation studies. As previous addiction research suggests, EMA has the potential to elicit cue reactivity by triggering craving and increasing behavioral awareness. However, there has been limited evaluation of its potential influence on behavior. OBJECTIVE/UNASSIGNED:By examining the perspectives of research participants enrolled in a tobacco treatment intervention trial, this qualitative analysis aims to understand the potential impact that EMA use may have had on smoking behaviors that may not have otherwise been captured through other study measures. METHODS/UNASSIGNED:We performed a qualitative analysis of in-depth interviews with participants enrolled in a pilot randomized controlled trial of a tobacco treatment intervention that used SMS text messaging to collect EMA data on smoking behaviors. In the pilot randomized controlled trial, combustible cigarette and e-cigarette use and smoking-related cravings were measured as part of an EMA protocol, in which SMS text messaging served as a smoking diary. SMS text messaging was intended for data collection only and not designed to serve as part of the intervention. After a baseline assessment, participants were asked to record daily nicotine use for 12 weeks by responding to text message prompts that they received 4 times per day. Participants were prompted to share their experiences with the EMA text messaging component of the trial but were not directly asked about the influence of EMA on their behaviors. Transcripts were coded according to the principles of the framework for applied research. The codes were then examined, summarized, and grouped into themes based on the principles of grounded theory. RESULTS/UNASSIGNED:Interviews were analyzed for 26 participants. The themes developed from the analysis suggested the potential for EMA, in the form of an SMS text messaging smoking diary, to influence participants' smoking behaviors. The perceived impacts of EMA text messaging on smoking behaviors were polarized; some participants emphasized the positive impacts of text messages on their efforts to reduce smoking, while others stressed the ways that text messaging negatively impacted their smoking reduction efforts. These contrasting experiences were captured by themes reflecting the positive impacts on smoking behaviors, including increased awareness of smoking behaviors and a sense of accountability, and the negative impacts on emotions and smoking behaviors, including provoking a sense of guilt and triggering smoking behaviors. CONCLUSIONS/UNASSIGNED:The collection of EMA smoking behavior data via SMS text messaging may influence the behaviors and perceptions of participants in tobacco treatment interventions. More research is needed to determine the magnitude of impact and mechanisms, to account for the potential effects of EMA. A broader discussion of the unintended effects introduced by EMA use is warranted among the research community.

BACKGROUND:We assessed longitudinal effects of e-cigarette use on respiratory symptoms in a nationally representative sample of US adults by combustible tobacco smoking status. METHODS:We analyzed Waves 4-5 public-use data from the Population Assessment of Tobacco and Health Study. Study sample included adult respondents who reported no diagnosis of respiratory diseases at Wave 4, and completed Waves 4-5 surveys with no missing data on analytic variables (N = 15,291). Outcome was a validated index of functionally important respiratory symptoms based on 7 wheezing/cough questions (range 0-9). An index score of ≥2 was defined as having important respiratory symptoms. Weighted lagged logistic regression models were performed to examine the association between e-cigarette use status at Wave 4 (former/current vs. never use) and important respiratory symptoms at Wave 5 by combustible tobacco smoking status (i.e., never/former/current smokers), adjusting for Wave 4 respiratory symptom index, sociodemographic characteristics, secondhand smoke exposure, body mass index, and chronic disease. RESULTS:Among current combustible tobacco smokers, e-cigarette use was associated with increased odds of reporting important respiratory symptoms (former e-cigarette use: adjusted odds ratio [AOR] = 1.39, 95% confidence interval [CI]: 1.07-1.81; current e-cigarette use: AOR = 1.55, 95% CI: 1.17-2.06). Among former combustible tobacco smokers, former e-cigarette use (AOR = 1.51, 95% CI: 1.06-2.15)-but not current e-cigarette use (AOR = 1.59, 95% CI: 0.91-2.78)-was associated with increased odds of important respiratory symptoms. Among never combustible tobacco smokers, no significant association was detected between e-cigarette use and important respiratory symptoms (former e-cigarette use: AOR = 1.62, 95% CI: 0.76-3.46; current e-cigarette use: AOR = 0.82, 95% CI: 0.27-2.56). CONCLUSIONS:The association between e-cigarette use and respiratory symptoms varied by combustible tobacco smoking status. Current combustible tobacco smokers who use e-cigarettes have an elevated risk of respiratory impairments.