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Featured researches published by Uma S. Nair.


Addictive Behaviors | 2011

Smoking cue reactivity across massed extinction trials: Negative affect and gender effects.

Bradley N. Collins; Uma S. Nair; Eugene Komaroff

Designing and implementing cue exposure procedures to treat nicotine dependence remains a challenge. This study tested the hypothesis that gender and negative affect (NA) influence changes in smoking urge over time using data from a pilot project testing the feasibility of massed extinction procedures. Forty-three smokers and ex-smokers completed the behavioral laboratory procedures. All participants were over 17 years old, smoked at least 10 cigarettes daily over the last year (or the year prior to quitting) and had expired CO below 10 ppm at the beginning of the ~4-hour session. After informed consent, participants completed 45 min of baseline assessments, and then completed a series of 12 identical, 5-minute exposure trials with inter-trial breaks. Smoking cues included visual, tactile, and olfactory cues with a lit cigarette, in addition to smoking-related motor behaviors without smoking. After each trial, participants reported urge and negative affect (NA). Logistic growth curve models supported the hypothesis that across trials, participants would demonstrate an initial linear increase followed by a decrease in smoking urge (quadratic effect). Data supported hypothesized gender, NA, and gender×NA effects. Significant linear increases in urge were observed among high and low NA males, but not among females in either NA subgroup. A differential quadratic effect showed a significant decrease in urge for the low NA subgroup, but a non-significant decrease in urge in the high NA group. This is the first study to demonstrate gender differences and the effects of NA on the extinction process using a smoking cue exposure paradigm. Results could guide future cue reactivity research and exposure interventions for nicotine dependence.


American Journal of Preventive Medicine | 2015

Reducing Underserved Children’s Exposure to Tobacco Smoke

Bradley N. Collins; Uma S. Nair; Melbourne F. Hovell; Katie I. DiSantis; Karen Jaffe; Natalie M. Tolley; E. Paul Wileyto; Janet Audrain-McGovern

INTRODUCTION Addressing maternal smoking and child tobacco smoke exposure is a public health priority. Standard care advice and self-help materials to help parents reduce child tobacco smoke exposure is not sufficient to promote change in underserved populations. We tested the efficacy of a behavioral counseling approach with underserved maternal smokers to reduce infants and preschoolers tobacco smoke exposure. DESIGN A two-arm randomized trial: enhanced behavior counseling (experimental) versus enhanced standard care (control). Assessment staff members were blinded. SETTING/PARTICIPANTS Three hundred randomized maternal smokers were recruited from low-income urban communities. Participants had a child aged <4 years exposed to two or more maternal cigarettes/day at baseline. INTERVENTION Philadelphia Family Rules for Establishing Smoke-free Homes (FRESH) included 16 weeks of counseling. Using a behavioral shaping approach within an individualized cognitive-behavioral therapy framework, counseling reinforced efforts to adopt increasingly challenging tobacco smoke exposure-protective behaviors with the eventual goal of establishing a smoke-free home. MAIN OUTCOME MEASURES Primary outcomes were end-of-treatment child cotinine and reported tobacco smoke exposure (maternal cigarettes/day exposed). Secondary outcomes were end-of-treatment 7-day point-prevalence self-reported cigarettes smoked/day and bioverified quit status. RESULTS Participation in FRESH behavioral counseling was associated with lower child cotinine (β=-0.18, p=0.03) and reported tobacco smoke exposure (β=-0.57, p=0.03) at the end of treatment. Mothers in behavioral counseling smoked fewer cigarettes/day (β=-1.84, p=0.03) and had higher bioverified quit rates compared with controls (13.8% vs 1.9%, χ(2)=10.56, p<0.01). There was no moderating effect of other smokers living at home. CONCLUSIONS FRESH behavioral counseling reduces child tobacco smoke exposure and promotes smoking quit rates in a highly distressed and vulnerable population. TRIAL REGISTRATION This study is registered at www.clinicaltrials.gov NCT02117947.


BMC Public Health | 2013

Kids Safe and Smokefree (KiSS): a randomized controlled trial of a multilevel intervention to reduce secondhand tobacco smoke exposure in children

Stephen J. Lepore; Jonathan P. Winickoff; Beth Moughan; Tyra Bryant-Stephens; Daniel Taylor; David Fleece; Adam Davey; Uma S. Nair; Melissa Godfrey; Bradley N. Collins

BackgroundSecondhand smoke exposure (SHSe) harms children’s health, yet effective interventions to reduce child SHSe in the home and car have proven difficult to operationalize in pediatric practice. A multilevel intervention combining pediatric healthcare providers’ advice with behavioral counseling and navigation to pharmacological cessation aids may improve SHSe control in pediatric populations.Methods/designThis trial uses a randomized, two-group design with three measurement periods: pre-intervention, end of treatment and 12-month follow-up. Smoking parents of children < 11-years-old are recruited from pediatric clinics. The clinic-level intervention includes integrating tobacco intervention guideline prompts into electronic health record screens. The prompts guide providers to ask all parents about child SHSe, advise about SHSe harms, and refer smokers to cessation resources. After receiving clinic intervention, eligible parents are randomized to receive: (a) a 3-month telephone-based behavioral counseling intervention designed to promote reduction in child SHSe, parent smoking cessation, and navigation to access nicotine replacement therapy or cessation medication or (b) an attention control nutrition education intervention. Healthcare providers and assessors are blind to group assignment. Cotinine is used to bioverify child SHSe (primary outcome) and parent quit status.DiscussionThis study tests an innovative multilevel approach to reducing child SHSe. The approach is sustainable, because clinics can easily integrate the tobacco intervention prompts related to “ask, advise, and refer” guidelines into electronic health records and refer smokers to free evidence-based behavioral counseling interventions, such as state quitlines.Trial registrationNCT01745393 (clinicaltrials.gov).


Translational behavioral medicine | 2011

Proactive recruitment predicts participant retention to end of treatment in a secondhand smoke reduction trial with low-income maternal smokers

Bradley N. Collins; E. Paul Wileyto; Melbourne F. Hovell; Uma S. Nair; Karen Jaffe; Natalie M. Tolley; Janet Audrain-McGovern

Improving smoking intervention trial retention in underserved populations remains a public health priority. Low retention rates undermine clinical advancements that could reduce health disparities. To examine the effects of recruitment strategies on participant retention among 279 low-income, maternal smokers who initiated treatment in a 16-week behavioral counseling trial to reduce child secondhand smoke exposure (SHSe). Participants were recruited using either reactive strategies or methods that included proactive strategies. Logistic regression analysis was used to test associations among retention and recruitment method in the context of other psychosocial and sociodemographic factors known to relate to retention. Backwards stepwise procedures determined the most parsimonious solution. Ninety-four percent of participants recruited with proactive + reactive methods were retained through end of treatment compared to 74.7% of reactive-recruited participants. Retention likelihood was five times greater if participants were recruited with proactive + reactive strategies rather than reactive recruitment alone (odds ration [OR] = 5.36; confidence interval [CI], 2.31–12.45). Greater knowledge of SHS consequences (OR = 1.58; CI, 1.07–2.34) was another significant factor retained in the final LR model. Proactive recruitment may improve retention among underserved smokers in behavioral intervention trials. Identifying factors influencing retention may improve the success of recruitment strategies in future trials, in turn, enhancing the impact of smoking interventions.


Psychology of Addictive Behaviors | 2013

Differential effects of a body image exposure session on smoking urge between physically active and sedentary female smokers

Uma S. Nair; Bradley N. Collins; Melissa A. Napolitano

Smoking is often used as a maladaptive weight control strategy among female smokers. Many of the perceived benefits accrued from smoking, including enhanced mood, reduced anxiety, and weight control, can also be achieved through physical activity. The purpose of this study was to examine the effects of a novel behavioral task (body-image exposure) that was designed to elicit body image and weight concerns on urge to smoke among 18-24 year old female smokers who vary in levels of physical activity. Using a cue-reactivity paradigm, 16 sedentary (SE) and 21 physically active (PA) female smokers (≥5 cigarettes/day for past 6 months) were exposed to a pilot tested body-image exposure session. Self-reported urge and latency to first puff were obtained before and after exposure session. Paired sample t tests showed significant increases in self-reported urge (p < .01) and quicker latency to first puff (p < .01) at posttest for the entire sample compared with pretest. Results of partial correlation (controlling for body mass index [BMI], nicotine dependence, withdrawal, and depressive symptoms) showed that increased time engaging in vigorous intensity physical activity was associated with lower self-reported urge to smoke at post (r = -0.44; p = .01) but not with latency to first puff (r = -.10; p = .62). These results suggest that among weight-concerned female smokers, physical activity may attenuate smoking urges in a context where weight concerns are increased. Future research should continue to explore effects of physical activity on reactivity to body image and smoking cues and variability in smoking cue-reactivity related to physical activity.


Pediatrics | 2018

An Office-Initiated Multilevel Intervention for Tobacco Smoke Exposure: A Randomized Trial

Bradley N. Collins; Stephen J. Lepore; Jonathan P. Winickoff; Uma S. Nair; Beth Moughan; Tyra Bryant-Stephens; Adam Davey; Daniel Taylor; David Fleece; Melissa Godfrey

In this randomized controlled trial, we demonstrated the efficacy of a multilevel intervention that integrated EHR-guided AAR with telephone-based counseling in decreasing child TSE. BACKGROUND: Provider adherence to best practice guidelines (ask, advise, refer [AAR]) for addressing child tobacco smoke exposure (TSE) motivates parents to reduce TSE. However, high-risk, vulnerable populations of smokers may require more intensive treatment. We hypothesized that a pragmatic, multilevel treatment model including AAR coupled with individualized, telephone-based behavioral counseling promoting child TSE reduction would demonstrate greater child TSE reduction than would standard AAR. METHODS: In this 2-arm randomized controlled trial, we trained pediatric providers in systems serving low-income communities to improve AAR adherence by using decision aid prompts embedded in routine electronic health record assessments. Providers faxed referrals to the study and received ongoing AAR adherence feedback. Referred participants were eligible if they were daily smokers, >17 years old, and spoke English. Participants were randomly assigned to telephone-based behavioral counseling (AAR and counseling) or nutrition education (AAR and attention control). Participants completed prerandomization and 3-month follow-up assessments. RESULTS: Of providers, >80% (n = 334) adhered to AAR procedures and faxed 2949 referrals. Participants (n = 327) were 83% women, 83% African American, and 79% low income (below poverty level). Intention-to-treat logistic regression showed robust, positive treatment effects: more parents in AAR and counseling than in AAR and attention control eliminated all sources of TSE (45.8% vs 29.9%; odds ratio 1.99 [95% confidence interval 1.44–2.74]) and quit smoking (28.2% vs 8.2%; odds ratio 3.78 [95% confidence interval 1.51–9.52]). CONCLUSIONS: The results indicate that the integration of clinic- and individual-level smoking interventions produces improved TSE and cessation outcomes relative to standalone clinic AAR intervention. Moreover, this study was among the first in which researchers demonstrated success in embedding AAR decision aids into electronic health records and seamlessly facilitated TSE intervention into routine clinic practice.


Preventing Chronic Disease | 2017

Tobacco Use Cessation Among Quitline Callers Who Implemented Complete Home Smoking Bans During the Quitting Process

Alesia M. Jung; Nicholas Schweers; Melanie L. Bell; Uma S. Nair; Nicole P. Yuan

Introduction The implementation of a home smoking ban (HSB) is associated with tobacco use cessation. We identified which quitline callers were most likely to report 30-day cessation among those who implemented complete HSBs after enrollment. Methods Our sample consisted of callers to the Arizona Smokers’ Helpline who enrolled from January 1, 2011, through July 26, 2015, and who reported no HSB at enrollment and a complete HSB by 7-month follow-up. We used logistic regression to estimate associations between no use of tobacco in the previous 30 days (30-day quit) at 7-month follow-up and demographic characteristics, health conditions, tobacco use, and cessation strategies. Results At 7-month follow-up, 65.4% of 399 callers who implemented a complete HSB reported 30-day quit. Lower odds of tobacco use cessation were associated with having a chronic health condition (odds ratio [OR], 0.31; 95% confidence interval [CI], 0.18–0.56) and living with other smokers (OR, 0.46; 95% CI, 0.29–0.73). Higher odds of tobacco cessation were associated with completing 5 or more telephone coaching sessions (OR, 2.48; 95% CI, 1.54–3.98) and having confidence to quit (OR, 2.05; 95% CI, 1.05–3.99). However, confidence to quit was not significant in the sensitivity analysis. Conclusion Implementing an HSB after enrolling in quitline services increases the likelihood of cessation among some tobacco users. Individuals with complete HSBs were more likely to quit if they did not have a chronic health condition, did not live with another smoker, and were actively engaged in coaching services. These findings may be used by quitlines to develop HSB intervention protocols primarily targeting tobacco users most likely to benefit from them.


Contemporary Clinical Trials | 2015

Promoting pre-quit physical activity to reduce cue reactivity among low-income sedentary smokers: A randomized proof of concept study

Uma S. Nair; Bradley N. Collins; Freda Patterson; Daniel Rodriguez

BACKGROUND Smoking and lack of physical activity (PA) contribute to disproportionate rates of disease among low-income adults. Interventions that simultaneously address both risk behaviors have strong potential to reduce health disparities. Existing smoking-PA studies indicate promising results but have limited generalizability to low-income populations. The goal of this study is to assess the effects of an integrated behavioral counseling approach to promote low-to-moderate intensity PA (LMPA) and reduce short-term smoking cue reactivity among low-income sedentary smokers. METHODS This study uses a randomized, 2-group design with 4 measurement time points: baseline, quit day (week 4), 1-week and 1-month follow-up. Participants (sedentary, smoke>6 cigs/day) receive 4 weeks of either (a) standard smoking cessation counseling (SCC control) or (b) our Step-Up to Quit (SUTQ) intervention that integrates advice for LMPA with SCC. SUTQ counseling focuses on increasing daily steps (walking) to reach 7500-10,000/day by week 4 (quit day) and explicitly links short bouts of LMPA with smoking urge management. Potential for SUTQ to facilitate urge management will be assessed by comparing between-group differences in the reduction (extinction) of quit day cue reactivity. We will explore group differences in quit rates at 1-week and 1-month follow-up. DISCUSSION This novel approach overcomes gaps in the PA-smoking intervention literature by promoting a more realistic PA approach for sedentary populations, using an ecologically valid strategy, integrating LMPA with evidence-based SCC during a 4-week pre-quit period, and testing the SUTQ counseling model in a high-risk sample. Results will guide future efficacy and dissemination studies.


Public Health Reports | 2018

Associations Between Comorbid Health Conditions and Quit Outcomes Among Smokers Enrolled in a State Quitline, Arizona, 2011-2016:

Uma S. Nair; Melanie L. Bell; Nicole P. Yuan; Betsy C. Wertheim; Cynthia A. Thomson

Objective: Smokers with comorbid health conditions have a disproportionate burden of tobacco-related death and disease. A better understanding of differences in quit rates among smokers with comorbid health conditions can guide tailoring of quitline services for subgroups. The objective of this study was to examine self-reported tobacco cessation rates among Arizona Smokers’ Helpline callers with chronic health conditions (CHCs) and/or a mental health condition (MHC). Methods: We analyzed data from quitline telephone callers (n = 39 779) who enrolled in and completed at least 1 behavioral counseling session (ie, coaching call). We categorized callers as CHC only (cardiovascular disease/respiratory-related/cancer; 32%), MHC only (eg, mood/anxiety/substance dependence; 13%), CHC + MHC (25%), or no comorbid condition (30%). We assessed 30-day abstinence at 7-month follow-up for 16 683 clients (41.9%). We used logistic regression analysis to test associations between comorbidity and quit outcomes after controlling for relevant variables (eg, nicotine dependence). Results: Overall quit rates were 45.4% for those with no comorbid condition, 43.3% for those with a CHC only, 37.0% for those with an MHC only, and 33.3% for those with CHC + MHC. Compared with other groups, the CHC + MHC group had the lowest odds of quitting (adjusted odds ratio = 0.60; 95% confidence interval, 0.52-0.69). Conclusion: Having a comorbid condition was associated with lower quit rates, and smokers with co-occurring CHCs and MHCs had the lowest quit rates. Quitlines should evaluate more intensive, evidence-driven, tailored services for smoking cessation among callers with comorbid conditions.


International Journal of Environmental Research and Public Health | 2018

Kids Safe and Smokefree (KiSS) Multilevel Intervention to Reduce Child Tobacco Smoke Exposure: Long-Term Results of a Randomized Controlled Trial

Stephen J. Lepore; Bradley N. Collins; Donna Coffman; Jonathan P. Winickoff; Uma S. Nair; Beth Moughan; Tyra Bryant-Stephens; Daniel Taylor; David Fleece; Melissa Godfrey

Background: Pediatricians following clinical practice guidelines for tobacco intervention (“Ask, Advise, and Refer” [AAR]) can motivate parents to reduce child tobacco smoke exposure (TSE). However, brief clinic interventions are unable to provide the more intensive, evidence-based behavioral treatments that facilitate the knowledge, skills, and confidence that parents need to both reduce child TSE and quit smoking. We hypothesized that a multilevel treatment model integrating pediatric clinic-level AAR with individual-level, telephone counseling would promote greater long-term (12-month) child TSE reduction and parent smoking cessation than clinic-level AAR alone. Methods: Pediatricians were trained to implement AAR with parents during clinic visits and reminded via prompts embedded in electronic health records. Following AAR, parents were randomized to intervention (AAR + counseling) or nutrition education attention control (AAR + control). Child TSE and parent quit status were bioverified. Results: Participants (n = 327) were 83% female, 83% African American, and 79% below the poverty level. Child TSE (urine cotinine) declined significantly in both conditions from baseline to 12 months (p = 0.001), with no between-group differences. The intervention had a statistically significant effect on 12-month bioverified quit status (p = 0.029): those in the intervention group were 2.47 times more likely to quit smoking than those in the control. Child age was negatively associated with 12-month log-cotinine (p = 0.01), whereas nicotine dependence was positively associated with 12-month log-cotinine levels (p = 0.001) and negatively associated with bioverified quit status (p = 0.006). Conclusions: Pediatrician advice alone may be sufficient to increase parent protections of children from TSE. Integrating clinic-level intervention with more intensive individual-level smoking intervention is necessary to promote parent cessation.

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