Faculty Bibliography

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.

We aimed to examine the association of food consumption patterns, measured by dietary diversity score (DDS) or food consumption score (FCS), with handgrip strength (HGS) among adults aged ≥55 years in Indonesia. This is a cross-sectional study involving 4351 middle-aged and older adults from the Indonesian Family Life Survey Fifth Wave (IFLS-5), collected in 2014-2015. A weighted linear regression model was used to examine the association of DDS or FCS with HGS in crude and adjusted models. In the adjusted models and compared to those with low DDS or poor FCS, those with medium/high DDS and borderline/acceptable FCS were associated with a higher mean of HGS. Good food consumption patterns, as reflected by high DDS or acceptable FCS, were shown to be significantly associated with stronger HGS among adults aged 55 years or above. More targeted nutritional interventions to promote good food consumption patterns may help improve HGS among middle-aged and older adults in Indonesia.

This study aimed to estimate the trends in the body mass index (BMI) and prevalence of obesity among United States (U.S.) adolescents (10-19 years) and to examine the associations between sociodemographic factors and both BMI and obesity prevalence. The 2007-2020 National Health and Nutrition Examination Survey (NHANES), a nationally representative repeated cross-sectional survey data (n = 9,826) were used. Outcomes included: 1) Mean BMI and 2) obesity (yes/no; defined as BMI ≥95% percentile). Sociodemographic variables included age, sex, race/ethnicity, and poverty income ratio (PIR; low-income <1.3, middle-income ≥1.3 and <3.5, high-income ≥3.5). By accounting for the complex survey design, weighted generalized linear/Poisson models were used to conduct the analyses. Girls constituted 49% of the sample. From 2007-2008 to 2017-2020, there was an increase in BMI and obesity prevalence, particularly among Black and Hispanic adolescents, and those from low- and middle-income families. Additionally, there was an increase in obesity prevalence among both boys and girls. However, there were no significant changes in BMI and obesity prevalence in the other race and ethnic adolescents. Girls had a 12% (Adjusted Prevalence Ratio [APR] = 0.88; 95% CI, 0.81-0.96) lower likelihood of being obese than boys. Compared to White adolescents, Black and Hispanic adolescents had 22% (APR = 1.22; 95% CI, 1.06-1.40) and 19% (APR = 1.19; 95% CI, 1.05-1.36) greater risk of being obese. Compared to high-income families, adolescents from low- and middle-income families had 62% (APR = 1.62; 95% CI, 1.39-1.90) and 47% (APR = 1.47; 95% CI, 1.24-1.76) greater risk of being obese, respectively. The results indicated persistent disparities in obesity prevalence among different race/ethnic and sociodemographic groups. Future obesity intervention should address key disparities by targeting specific race/ethnic adolescents from low-income families and promoting health equality.

Understanding the association between initial experimentation with a tobacco product and subsequent patterns of tobacco use among youth is important to informing prevention activities for youth in the US. We conducted an online survey from August to October 2017 among youth aged 13-18 years. The current analysis focused on respondents reporting initial experimentation with any tobacco product (n = 2,022). Using multinomial logistic regression, we examined the association between first tobacco product tried (cigarettes; cigars including cigarillos, little cigars, and bidis; electronic nicotine delivery systems (ENDS); smokeless and chewing tobacco; or hookah) with subsequent patterns of tobacco use while adjusting for covariates. Of the youth who experimented, 56.8% were non-current tobacco users. Of current tobacco users (n = 934), 13% were exclusive ENDS users, 5.3% exclusive combustible mono-users, 13.4% ENDS plus combustible poly-users, 3.3% combustible product only poly-users, and 8.2% other tobacco poly-users. The most common type of first tobacco product tried was ENDS (44.7%), followed by cigarettes (35.0%) and cigars (8.6%). Those who experimented with combustible tobacco products were less likely to be exclusive ENDS users [Relative Risk Ratio (RRR) = 0.46; 95% CI = 0.28, 0.73 for cigarettes; RRR = 0.32; 95% CI = 0.13, 0.81 for cigars; and RRR = 0.33; 95% CI = 0.14, 0.79 for hookah] when compared to non-current tobacco users (reference group). Tobacco product choices for initial experimentation appear to play a role in subsequent tobacco use patterns among youth. Understanding the reasons behind initial product choice may inform our understanding regarding the reasons for subsequent current tobacco product use, thus informing youth prevention efforts.

BACKGROUND:Few studies have examined the effectiveness of telephone smoking cessation interventions by severity of behavioral health symptoms. Using data from a telephone counseling study, we examined whether abstinence rates varied by level of behavioral health symptoms. METHODS:The parent study recruited adults who smoke cigarettes (N = 577) referred by mental health providers at six Veterans Health Administration facilities. Participants were randomized to specialized telephone counseling (intervention) or state Quitline referral (control). Participants completed assessments at baseline and 6 months, including the BASIS-24, a self-report measure of behavioral health symptoms and functioning. We used the BASIS-24 median to dichotomize participants as having high or low scores. The primary outcome was 30-day self-reported abstinence at 6 months. We compared groups on outcomes by logistic regression and performed an interaction effect analysis between treatment assignment and groups. RESULTS:At baseline, those with high behavioral health symptoms scores reported heavier nicotine dependence and more sedative and/or antidepressant use, compared to participants with low behavioral health symptoms. At 6 months, participants with low behavioral health symptoms scores in the intervention reported higher rates of 30-day abstinence compared to those in the control arm (26% vs 13%, OR = 2.3, 95% CI = 1.8, 2.9). People with high behavioral health symptoms scores reported no difference in 30-day abstinence between the treatment assignments at 6 months (12% vs. 13%, OR = 1.1, 95% CI = 0.6, 2.0). CONCLUSIONS:Only participants with low behavioral health symptoms scores reported higher abstinence rates in the intervention compared to the state Quitline. Future research can examine alternative approaches for people with worse mental well-being and functioning. TRIAL REGISTRATION:The parent study is registered at www. CLINICALTRIALS:gov NCT00724308.