The association of positive emotion and first smoking lapse: An ecological momentary assessment study

Examining Links Between Distinct Affective States and Tobacco Lapse During a Cessation Attempt Among African Americans: A Cohort Study

BACKGROUND

Affect states are posited to play a pivotal role in addiction-related processes, including tobacco lapse (i.e., smoking during a quit attempt), and distinct affective states (e.g., joy vs. happiness) may differentially influence lapse likelihood. However, few studies have examined the influence of distinct affective states on tobacco lapse.

PURPOSE

This study examines the influence of 23 distinct affect states on tobacco lapse among a sample of tobacco users attempting to quit.

METHODS

Participants were 220 adults who identified as African American (50% female, ages 18-74). Ecological momentary assessment was used to assess affect and lapse in real-time. Between and within-person associations testing links between distinct affect states and lapse were examined with multilevel modeling for binary outcomes.

RESULTS

After adjusting for previous time's lapse and for all other positive or negative affect items, results suggested that at the between-person level, joy was associated with lower odds of lapse, and at the within-person level, attentiveness was associated with lower odds of lapse. Results also suggested that at the between-person level, guilt and nervous were associated with higher odds of lapse, and at the within-person level, shame was associated with higher odds of lapse.

CONCLUSIONS

The present study uses real-time, real-world data to demonstrate the role of distinct positive and negative affects on momentary tobacco lapse. This work helps elucidate specific affective experiences that facilitate or hinder the ability to abstain from tobacco use during a quit attempt.

Associations between morning affect and later-day smoking urges and behavior

OBJECTIVE

Affective experiences are associated with smoking urges and behavior. Few studies have examined the temporal nature of these associations within a day, such as whether positive and negative affect in the morning are associated with smoking urges and behavior later in the day.

METHOD

Participants (N = 63; MAge = 50 years, 48% female; 60% White) were randomized into one of three smoking cessation interventions and answered up to five daily ecological momentary assessments for 28 days during a quit attempt (M = 21.0 days, SD = 7.1). Before analysis, scores for morning positive and negative affect and later-day smoking urges and behavior were calculated.

RESULTS

On days when individuals' morning positive affect was higher than usual, later-day smoking urges tended to be lower than usual. In contrast, on days when individuals' morning negative affect was higher than usual, later-day smoking urges tended to be higher than usual, and smoking was more likely. Further, individuals who had higher characteristic morning positive affect tended to have less intense later-day smoking urges, whereas those who tended to have higher characteristic morning negative affect tended to have more intense later-day smoking urges.

CONCLUSIONS

Morning positive and negative affect were associated with later-day smoking urges, and morning negative affect was related to later-day smoking behavior. Future research should examine whether interventions that boost positive affect on mornings when it is lower than usual and attenuate negative affect on mornings when it is higher than usual, may reduce the intensity of smoking urges and the likelihood of smoking later in the day. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Effect of an intensive tobacco cessation program on the smoker narrative: A content analysis and grounded theory

INTRODUCTION

The smoker's narrative during smoking quitting provides insight into aspects not fully explored in daily clinical practice. The aim of the study was to analyze the smoker narrative using two types of methodologies: content analysis and grounded theory, before and after smoking cessation intervention, provided to the smoker in a specialized Smoking Cessation Unit accredited by the Spanish Society of Pneumology and Thoracic Surgery.

METHODS

A prospective observational study of current smokers included in a tobacco cessation program between 2017 and 2020 was conducted at the Smoking Cessation Unit of Santiago de Compostela Health Area, Spain. Routine clinical variables and patient narrative data were collected. A descriptive analysis of the sample, the content of the textual corpus, and a grounded theory were performed in semi-structured interviews at baseline and at follow-up at 6 months.

RESULTS

A total of 116 patients were included (mean age 55.6 ± 10.6 years; 56.9% male; mean nicotine dependence score 5.7 ± 1.6). Quantitative analysis of the narrative shows that the most frequent phrases and words are associated with smoking, nicotine craving, and predisposition for smoking cessation. After the intervention, phrases related to the manifestation of abstinence, response to pharmacological treatment, and self-perception of smoking cessation were predominant. In the qualitative analysis, the most frequent categories in the smoker's textual corpus were dependence, motivation, and emotionality, which decreased after the intervention (11.4%, 21.4%, and 9.9%, respectively) accompanied by increased satisfaction (19.2%) and the manifestation of abstinence (21.5%).

CONCLUSIONS

Motivation, nicotine dependence, and sensitivity to emotions are all closely intertwined in the current smoker narrative and can be modified as a consequence of treatment.

Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data

Advances in digital technology have greatly increased the ease of collecting intensive longitudinal data (ILD) such as ecological momentary assessments (EMAs) in studies of behavior changes. Such data are typically multilevel (e.g., with repeated measures nested within individuals), and are inevitably characterized by some degrees of missingness. Previous studies have validated the utility of multiple imputation as a way to handle missing observations in ILD when the imputation model is properly specified to reflect time dependencies. In this study, we illustrate the importance of proper accommodation of multilevel ILD structures in performing multiple imputations, and compare the performance of a multilevel multiple imputation (multilevel MI) approach relative to other approaches that do not account for such structures in a Monte Carlo simulation study. Empirical EMA data from a tobacco cessation study are used to demonstrate the utility of the multilevel MI approach, and the implications of separating participant- and study-initiated EMAs in evaluating individuals' affective dynamics and urge.

Measuring affect in daily life: A multilevel psychometric evaluation of the PANAS-X across four ecological momentary assessment samples

While there is strong evidence for the psychometric reliability of the Positive and Negative Affect Schedule-Expanded Form (PANAS-X) in cross-sectional studies, the between- and within-person psychometric performance of the PANAS-X in an intensive longitudinal framework is less understood. As affect is thought to be dynamic and responsive to context, this study investigated the multilevel reliability of PANAS-X Positive Affect, Negative Affect, Fear, Sadness, and Hostility scales. Generalizability theory and structural equation modeling techniques (coefficient ω) were employed in four ecological momentary assessment samples (N = 309; 41,261 reports). Results demonstrate that the PANAS-X scales, including short versions of the Positive and Negative Affect scales, can reliably detect between-person differences. PANAS-X scales also were able to reliably measure within-person change, though these estimates may be impacted by scale content and study design. These results support the use of the PANAS-X in daily life research to intensively measure affect in the natural environment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Socio-economic status moderates within-person associations of risk factors and smoking lapse in daily life

BACKGROUND AND AIMS

Individuals of lower socio-economic status (SES) display a higher prevalence of smoking and have more diffxiculty quitting than higher SES groups. The current study investigates whether the within-person associations of key risk (e.g. stress) and protective (self-efficacy) factors with smoking lapse varies by facets of SES.

DESIGN AND SETTING

Observational study using ecological momentary assessment to collect data for a 28-day period following a smoking quit attempt. Multi-level mixed models (i.e. generalized linear mixed models) examined cross-level interactions between lapse risk and protective factors and indicators of SES on smoking lapse.

PARTICIPANTS

A diverse sample of 330 adult US smokers who completed a larger study examining the effects of race/ethnicity and social/environmental influences on smoking cessation.

MEASUREMENTS

Risk factors included momentary urge, negative affect, stress; protective factors included positive affect, motivation, abstinence self-efficacy; SES measures: baseline measures of income and financial strain; the primary outcome was self-reported lapse.

FINDINGS

Participants provided 43 297 post-quit observations. Mixed models suggested that income and financial strain moderated the effect of some risk factors on smoking lapse. The within-person association of negative [odds ratio (OR) = 0.967, 95% CI= 0.945, 0.990, P < 0.01] and positive affect (OR = 1.023, 95% CI = 1.003, 1.044, P < 0.05) and abstinence self-efficacy (OR = 1.020, 95% CI = 1.003, 1.038, P < 0.05) on lapse varied with financial strain. The within-person association of negative affect (OR = 1.005, 95% CI = 1.002, 1.008, P < 0.01), motivation (OR = 0.995, 95% CI = 0.991, 0.999, P < 0.05) and abstinence self-efficacy (OR = 0.996, 95% CI = 0.993, 0.999, P < 0.01) on lapse varied by income. The positive association of negative affect with lapse was stronger among individuals with higher income and lower financial strain. The negative association between positive affect and abstinence self-efficacy with lapse was stronger among individuals with lower financial strain, and the negative association between motivation and abstinence self-efficacy with lapse was stronger among those with higher income. The data were insensitive to detect statistically significant moderating effects of income and financial strain on the association of urge or stress with lapse.

CONCLUSION

Some risk factors (e.g. momentary negative affect) exert a weaker influence on smoking lapse among lower compared to higher socio-economic status groups.

Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies

Objective

Insufficient engagement is a critical barrier impacting the utility of digital interventions and mobile health assessments. As a result, engagement itself is increasingly becoming a target of studies and interventions. The purpose of this study is to investigate the dynamics of engagement in mobile health data collection by exploring whether, how, and why response to digital self-report prompts change over time in smoking cessation studies.

Method

Data from two ecological momentary assessment (EMA) studies of smoking cessation among diverse smokers attempting to quit (N = 573) with a total of 65,974 digital self-report prompts. We operationalize engagement with self-reporting in term of prompts delivered and prompt response to capture both broad and more granular engagement in self-reporting, respectively. The data were analyzed to describe trends in prompt delivered and prompt response over time. Time-varying effect modeling (TVEM) was employed to investigate the time-varying effects of response to previous prompt and the average response rate on the likelihood of current prompt response.

Results

Although prompt response rates were relatively stable over days in both studies, the proportion of participants with prompts delivered declined steadily over time in one of the studies, indicating that over time, fewer participants charged the device and kept it turned on (necessary to receive at least one prompt per day). Among those who did receive prompts, response rates were relatively stable. In both studies, there is a significant, positive and stable relationship between response to previous prompt and the likelihood of response to current prompt throughout all days of the study. The relationship between the average response rate prior to current prompt and the likelihood of responding to the current prompt was also positive, and increasing with time.

Conclusion

Our study highlights the importance of integrating various indicators to measure engagement in digital self-reporting. Both average response rate and response to previous prompt were highly predictive of response to the next prompt across days in the study. Dynamic patterns of engagement in digital self-reporting can inform the design of new strategies to promote and optimize engagement in digital interventions and mobile health studies.

A Just-In-Time Adaptive intervention (JITAI) for smoking cessation: Feasibility and acceptability findings

Smoking cessation treatments that are easily accessible and deliver intervention content at vulnerable moments (e.g., high negative affect) have great potential to impact tobacco abstinence. The current study examined the feasibility and acceptability of a multi-component Just-In-Time Adaptive Intervention (JITAI) for smoking cessation. Daily smokers interested in quitting were consented to participate in a 6-week cessation study. Visit 1 occurred 4 days pre-quit, Visit 2 was on the quit day, Visit 3 occurred 3 days post-quit, Visit 4 was 10 days post-quit, and Visit 5 was 28 days post-quit. During the first 2 weeks (Visits 1-4), the JITAI delivered brief mindfulness/motivational strategies via smartphone in real-time based on negative affect or smoking behavior detected by wearable sensors. Participants also attended 5 in-person visits, where brief cessation counseling (Visits 1-4) and nicotine replacement therapy (Visits 2-5) were provided. Outcomes were feasibility and acceptability; biochemically-confirmed abstinence was also measured. Participants (N = 43) were 58.1 % female (AgeMean = 49.1, mean cigarettes per day = 15.4). Retention through follow-up was high (83.7 %). For participants with available data (n = 38), 24 (63 %) met the benchmark for sensor wearing, among whom 16 (67 %) completed at least 60 % of strategies. Perceived ease of wearing sensors (Mean = 5.1 out of 6) and treatment satisfaction (Mean = 3.6 out of 4) were high. Biochemically-confirmed abstinence was 34 % at Visit 4 and 21 % at Visit 5. Overall, the feasibility of this novel multi-component intervention for smoking cessation was mixed but acceptability was high. Future studies with improved technology will decrease participant burden and better detect key intervention moments.

An ecological momentary assessment study of outcome expectancies and smoking lapse in daily life

OBJECTIVE

Outcome expectancies have been identified as key components of behavior change. Expectancies related to affect control are hypothesized to play an important role in smoking cessation, such that smokers may be more likely to lapse if they believe they can control their affect by smoking and less likely if they believe they can control their affect by means other than smoking. However, little is known about whether real-time, real-world changes in affect control expectancies influence smoking lapse during a quit attempt.

METHODS

A diverse sample (N = 369) of adult smokers completed ecological momentary assessment of smoking expectancies and lapse for 28 days following a quit attempt. Multilevel logistic regression was used to examine whether the difference score of positive smoking outcome expectancies (the belief that smoking would improve mood) minus positive coping outcome expectancies (the belief that something other than smoking would improve mood) was related to smoking lapse in daily life.

RESULTS

There was a significant within-person association between the expectancies difference score and lapse likelihood. When the difference score was 1 unit above a person's typical level, odds of lapse increased by 18.65 % (β = 0.174, SE = 0.024, p < .0001, OR = 1.189, 95 % CI [1.135, 1.247]).

CONCLUSION

Smokers undergoing a quit attempt were more likely to lapse in moments when the difference in the belief that smoking would improve their mood minus the belief that something other than smoking would improve their mood was larger. This work has relevance for tailoring interventions to both cultivate positive coping outcome expectancies and reduce smoking outcome expectancies, and informs theoretical models about the dynamic nature of outcome expectancies.

Mindfulness-Based Smoking Cessation Delivered Through Telehealth and Text Messaging for Low-Income Smokers: Protocol for a Randomized Controlled Trial

BACKGROUND

Tobacco use is the leading cause of preventable morbidity and mortality. Adults with low income and members of certain racial and ethnic minority groups are less likely to quit, and therefore, they experience profound tobacco-related health disparities. Mindfulness training can increase the rates of smoking cessation and lapse recovery, and telehealth and SMS text messaging have the potential to provide more accessible treatment.

OBJECTIVE

This study aims to test the efficacy of delivering mindfulness-based smoking cessation treatment through text messaging (iQuit Mindfully) and telehealth (group videoconferencing), both as stand-alone interventions and in combination. In addition, it aims to examine the underlying mechanisms of mindfulness treatment.

METHODS

In this 2×2 randomized controlled trial, participants are randomized into 1 of 4 groups based on assignment to iQuit Mindfully text messages (yes or no) and mindfulness videoconference groups (yes or no). The primary outcomes are biochemically verified smoking abstinence at 8, 12, and 24 weeks after the start of treatment. Secondary outcomes include the frequency of home mindfulness practice and self-reported levels of mindfulness, emotions, craving, withdrawal, dependence, self-efficacy, and social support.

RESULTS

Recruitment, treatment, and assessment began in spring and summer 2021, and data collection is expected to continue through spring 2024.

CONCLUSIONS

This project aims to improve smoking cessation outcomes for low-income, racially and ethnically diverse smokers through mindfulness-based telehealth group counseling and text messaging support. We also aim to advance the scientific study of the mechanisms of action of mindfulness treatment, which could inform the development of more efficacious and efficient treatments to reduce tobacco disparities.

TRIAL REGISTRATION

Clinicaltrials.gov NCT04965181; https://clinicaltrials.gov/ct2/show/NCT04965181.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/35688.

Association of life satisfaction with disability-free survival: role of chronic diseases and healthy lifestyle

BACKGROUND

this article investigates the association between life satisfaction and disability-free survival, and explores the roles of chronic diseases and healthy lifestyle in this association.

METHOD

a cohort of 2,116 functionally independent adults aged ≥60 was followed up to 12 years. At baseline, life satisfaction was assessed with the Life Satisfaction Index A (LSI-A). Disability-free survival was defined as the survival till the first occurrence of either death, dementia or physical disability. Information on lifestyle factors was collected via questionnaire. Chronic diseases were ascertained through clinical examinations at baseline and each follow-up. Data were analysed using Cox proportional hazard regression models and Laplace regression.

RESULTS

over follow-up, 1,121 participants died, developed dementia, or became disabled. High LSI-A versus Low LSI-A had a lower risk of death, dementia and physical disability (hazard ratio [HR] 0.79, 95% confidence intervals [CI] 0.67-0.94), and had a longer disability-free period by 1.73 (95% CI 0.18-3.32) years. In mediation analysis, accumulation of chronic diseases mediated 17.8% of the association between LSI-A and disability-free survival. In joint effect analysis, participants with high LSI-A and a favourable lifestyle profile had a HR of 0.53 (95% CI 0.41-0.69) for the composite endpoint, and lived 3.2 (95% CI 1.35-5.11) disability-free years longer than those with low life satisfaction and an unfavourable lifestyle profile.

DISCUSSION

high life satisfaction is independently associated with longer disability-free survival. This association is partially mediated by a lower burden of chronic diseases and is reinforced by healthy lifestyle.

Perceived discrimination and smoking lapse among Mexican Americans: An ecological momentary assessment study

OBJECTIVE

Racial/ethnic minorities face unique stressors, including perceived discrimination (PD), that may increase the difficulty of quitting smoking relative to the general population of smokers. The current study examines the impact of acute PD on smoking lapse during a quit attempt, as well as potential mechanisms linking PD to lapse among Spanish-speaking Mexican Americans.

METHOD

Participants (N = 169) were Spanish-speaking Mexican Americans living in the United States who completed ecological momentary assessments (EMAs) multiple times per day for 21 days postquit. A multilevel structural equation model decomposed the effect of PD on smoking lapse into indirect effects through negative affect, positive affect, smoking urge, motivation to quit, and self-efficacy.

RESULTS

Results indicated that PD operated indirectly through negative affect, positive affect, and urge to smoke, above and beyond other mechanisms, to increase risk for smoking lapse.

CONCLUSIONS

Findings have direct implications for intervention development among this population, including the potential for developing strategies to buffer the impact of PD, as well as skills to directly manage increased negative affect and urge to smoke. Just-in-time adaptive interventions (JITAIs) might be particularly useful, given they are designed to deliver treatment in real-time (e.g., delivery of strategies to build resilience and implement coping strategies) that could counter the impact of PD on smoking lapse. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Examining moment to moment affective determinants of smoking rate following a quit attempt among homeless daily smokers

BACKGROUND

Cigarette smoking disproportionately affects homeless individuals, who have a higher smoking prevalence, fewer resources, and increased stressors compared to domiciled smokers. Little is known about how to facilitate smoking cessation among this population although some findings support focusing efforts on affective variables as well as alternate outcomes in order to optimize interventions for this group.

METHODS

Participants were homeless adults recruited from a Dallas, TX, shelter (N = 57, 61.4% male, M_age = 48.8 ± 9.0) to participate in tobacco cessation classes using an American Cancer Society-based therapy and support group with nicotine replacement therapy. Moment-to-moment changes in affect [e.g., negative affect (NA), positive affect (PA), and stress] were recorded via Ecological Momentary Assessments to assess whether they were associated with concurrent changes in cigarettes smoked per day (CPD) following a specific quit attempt. Separate generalized linear models (GLM) were evaluated for each predictor to examine the associations between affective variables and CPD in covariate-adjusted analyses.

RESULTS

Significant interaction effects of time and affect were found for all variables (NA: p = 0.0011, PA: p = 0.0006, stress: p = 0.0259), whereby the association of affect and CPD were significant in the early part of the week but the effects faded as time progressed. With regard to main effects, only increases in PA during the post-quit week significantly predicted fewer CPD (adjusted incidence rate ratio = 0.924, SE = 0.027, p = 0.0032).

CONCLUSIONS

Homeless smokers may be more likely to decrease their cigarette consumption during periods of greater PA throughout the post-quit week. Relationship between positive affect and reduction in CPD suggest focus on affective variables with homeless smokers may be an effective avenue for change in smoking behaviors, particularly in the days immediately following a quit attempt. Time effects should be further investigated to determine when these interventions might best be implemented.

A time-varying model of the dynamics of smoking lapse

OBJECTIVE

The majority of smokers who make a quit attempt experience their first lapse within the first week of quitting, yet limited research to date has examined how the strength and direction of the relationship between smoking risk factors and lapse may change over longer periods of time. Time-varying effect modeling (TVEM) was used to address this gap.

METHOD

A diverse sample (N = 325) of adult smokers completed ecological momentary assessments of risk factors for lapse for 28 days after quitting. TVEM was used to examine the relationship between risk factors (abstinence self-efficacy, positive affect, positive coping expectancies, smoking expectancies, motivation, negative affect, stress, and urge) and lapse for 28 days postquit.

RESULTS

Some associations were stable (e.g., negative affect, motivation), whereas others varied over time. Abstinence self-efficacy, positive affect, and positive coping expectancies were most strongly associated with lapse between Days 3 and 8 postquit. The association of urge with lapse was strongest between Days 4 and 10, as well as near the end of the quit attempt. Stress was also most strongly associated with lapse near the beginning and end of the postquit period and was the only predictor associated with lapse on quit date. The strength of the association between smoking expectancies and lapse increased over time.

CONCLUSION

There may be periods during a quit attempt when certain risk factors are more strongly related to lapse. This work has relevance for tailoring interventions designed to deliver intervention components in particular contexts or times of need. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Scalar-on-function regression for predicting distal outcomes from intensively gathered longitudinal data: Interpretability for applied scientists

Researchers are sometimes interested in predicting a distal or external outcome (such as smoking cessation at follow-up) from the trajectory of an intensively recorded longitudinal variable (such as urge to smoke). This can be done in a semiparametric way via scalar-on-function regression. However, the resulting fitted coefficient regression function requires special care for correct interpretation, as it represents the joint relationship of time points to the outcome, rather than a marginal or cross-sectional relationship. We provide practical guidelines, based on experience with scientific applications, for helping practitioners interpret their results and illustrate these ideas using data from a smoking cessation study.

Mechanisms linking mindfulness and early smoking abstinence: An ecological momentary assessment study

Research has suggested that individuals with greater dispositional mindfulness (i.e., nonjudgmental, present-focused attention) are more likely to quit smoking, but the underlying mechanisms are unclear. This study investigated mechanisms linking mindfulness and early smoking abstinence using ecological momentary assessment (EMA). Participants were 355 smokers (33% Caucasian, 33% African American, 32% Latino; 55% female) receiving smoking cessation treatment. Mindfulness was assessed at baseline and on the quit date. For 4 days prequit and 1 week postquit, participants completed up to 4 EMAs per day indicating levels of negative affect (NA), positive affect (PA), smoking urges, and affect regulation expectancies. Mean, slope, and volatility were calculated for each prequit and postquit EMA variable. Associations among mindfulness, EMA parameters, and abstinence on the quit day and 7 days postquit, as well as indirect effects of mindfulness on abstinence through EMA parameters, were examined. Mindfulness predicted higher odds of abstinence in unadjusted but not covariate-adjusted models. Mindfulness predicted lower NA, higher PA, and lower affective volatility. Lower stress mediated the association between mindfulness and quit-day abstinence. Higher ratings of happy and relaxed, and lower ratings of bored, sad, and angry, mediated the association between mindfulness and postquit abstinence. Mindfulness appeared to weaken the association between craving and postquit abstinence. This study elucidates real-time, real-life mechanisms underlying dispositional mindfulness and smoking abstinence. During the early process of quitting smoking, more mindful individuals appeared to have more favorable emotional profiles, which predicted higher likelihood of achieving abstinence 1 week after the quit date. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Sex differences in affect-triggered lapses during smoking cessation: A daily diary study

INTRODUCTION

Smoking lapses during a cessation attempt are common and are thought to be a key predictor of full relapse. Positive and negative affective states have been hypothesized as important precipitants of lapses during quit attempts, although findings have been mixed. Accumulating evidence suggests that women may smoke more when experiencing negative affective states, while men may smoke more when experiencing positive affective states. The possibility that these sex differences may play a role in predicting lapses during a smoking cessation attempt, however, has not been well-investigated. In this study, we hypothesized that, during a quit attempt, negative affect would be more strongly associated with lapses among women, and positive affect would be more strongly associated with lapses among men.

METHOD

We conducted a prospective study in which male and female nicotine-dependent smokers (n = 60) made an unaided, 'cold-turkey' quit attempt. For fourteen days following the initiation of the quit attempt, participants completed daily diaries in which they recorded the degree to which states of 'good mood' and 'bad mood' preceded smoking lapses.

RESULTS

Consistent with the study hypothesis, findings indicated that men reported higher good-mood-induced smoking lapses than women across the 14-day study interval. Conversely, while levels of bad-mood-induced smoking subsided over the 14-day interval among men, levels persisted among women.

DISCUSSION

Results further underscore the need to address sex-specific affective triggers when developing smoking cessation strategies.

The use of ambulatory assessment in smoking cessation

Ambulatory assessment of smoking behavior has greatly advanced our knowledge of the smoking cessation process. The current article first provides a brief overview of ecological momentary assessment for smoking cessation and highlights some of the primary advantages and scientific advancements made from this data collection method. Next, a discussion of how certain data collection tools (i.e., smoking topography and carbon monoxide detection) that have been traditionally used in lab-based settings are now being used to collect data in the real world. The second half of the paper focuses on the use of wearable wireless sensors to collect data during the smoking cessation process. Details regarding how these sensor-based technologies work, their application to newer tobacco products, and their potential to be used as intervention tools are discussed. Specific focus is placed on the opportunity to utilize novel intervention approaches, such as Just-In-Time Adaptive Interventions, to intervene upon smoking behavior. Finally, a discussion of some of the current challenges and limitations related to using sensor-based tools for smoking cessation are presented, along with suggestions for future research in this area.

Mobile Momentary Assessment and Biobehavioral Feedback for Adolescents with Type 1 Diabetes: Feasibility and Engagement Patterns

BACKGROUND

Integration of momentary contextual and psychosocial factors within self-management feedback may provide more specific, engaging, and personalized targets for problem solving.

METHODS

Forty-four youth ages 13-19 with type 1 diabetes (T1D) were provided a Bluetooth meter and completed the 30-day protocol. Participants were randomized to "app + meter" or "meter-only" groups. App + meter participants completed mealtime and bedtime assessment each day. Assessments focused on psychosocial and contextual information relevant for self-management. Graphical feedback integrated self-monitored blood glucose (SMBG), insulin, and Bluetooth-transmitted blood glucose data with the psychosocial and contextual data. App + meter participants completed an interview to identify data patterns.

RESULTS

The median number of momentary assessments per participant was 80.0 (range 32-120) with 2.60 per day. By 2 weeks participants had an average of 40.77 (SD 12.23) assessments. Dose-response analyses indicated that the number of app assessments submitted were significantly related to higher mean daily SMBG (r = -0.44, P < 0.05) and to lower% missed mealtime SMBG (r = -0.47, P < 0.01). Number of feedback viewing sessions was also significantly related to a lower% missed mealtime SMBG (r = -0.44, P < 0.05). Controlling for baseline variables, mixed-effects analyses did not indicate group × time differences in mean daily SMBG. Engagement analyses resulted in three trajectory groups distinguished by assessment frequencies and rates of decline. Engagement group membership was significantly related to gender, mean daily SMBG, and HbA1c values.

CONCLUSIONS

Momentary assessment combined with device data provided a feasible means to provide novel personalized biobehavioral feedback for adolescents with T1D. A 2-week protocol provided sufficient data for self-management problem identification. In addition to feedback, more intensive intervention may need to be integrated for those patients with the lowest self-management at baseline.

Emotional Response Categorization in Adolescents and Young Adults

Categorization is based on cognitive mechanisms allowing the development of internal representations of the environment that guide behavior. This study tests the influence of emotions on categorization in adolescents and young adults. After a mood induction (negative, positive, or neutral), we compared how 68 adolescents aged 13 to 15 and 57 young adults aged 21 to 29 categorized emotional concepts using a lexical emotional categorization task. Participants had to choose which of three associates, of different emotional valence (positive, negative or neutral), was more similar to a target concept. The aim of this study was to determine if adolescents rely on the emotional dimension in categorization more than adults. The results show that the emotional state can influence the cognitive process of categorization in adolescence, particularly in the negative mood.