Severity of tobacco abstinence symptoms varies by time of day

Perkins, Kenneth A.; Briski, Jessica; Fonte, Carolyn; Scott, John; Lerman, Caryn

doi:10.1093/ntr/ntn003

Cited by 25 publications

(24 citation statements)

References 24 publications

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“…The final insight we use is that time of day does have a noticeable effect on self-reported craving. This effect is supported by smoking abstinence research [26], and was observed in our data as well.…”

Section: Introductionsupporting

confidence: 93%

See 1 more Smart Citation

mCrave

Chatterjee¹,

Hovsepian

Sarker³

et al. 2016

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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Craving usually precedes a lapse for impulsive behaviors such as overeating, drinking, smoking, and drug use. Passive estimation of craving from sensor data in the natural environment can be used to assist users in coping with craving. In this paper, we take the first steps towards developing a computational model to estimate cigarette craving (during smoking abstinence) at the minute-level using mobile sensor data. We use 2,012 hours of sensor data and 1,812 craving self-reports from 61 participants in a smoking cessation study. To estimate craving, we first obtain a continuous measure of stress from sensor data. We find that during hours of day when craving is high, stress associated with self-reported high craving is greater than stress associated with low craving. We use this and other insights to develop feature functions, and encode them as pattern detectors in a Conditional Random Field (CRF) based model to infer craving probabilities.

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Section: Introductionsupporting

confidence: 93%

“…Periodic episodes of prolonged craving are associated with stress (or negative affect) [24,39,42], time of day [26], smoking cues [38, 40], and alcohol consumption [40]. During abstinence, individuals often need to cope with prolonged, recurring, and intensified craving effects in order to maintain abstinence.…”

Section: Introductionmentioning

confidence: 99%

mCrave

Chatterjee¹,

Hovsepian

Sarker³

et al. 2016

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

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“…Withdrawal studies usually measure symptoms during abstinence while we assessed smokers. However, smokers experience withdrawal symptoms, which tend to vary according to specific times of the day [40]. Thus, considering the MNWS-R refers to the previous week, we assume to have measured withdrawal symptoms that occurred during that period.…”

Section: Discussionmentioning

confidence: 99%

Factor Analysis and Psychometric Properties of the Minnesota Nicotine Withdrawal Scale and the Minnesota Nicotine Withdrawal Scale-Revised: Italian Version

Svicher

Beghè²,

Mangiaracina³

et al. 2017

Eur Addict Res

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Background/Aims: We runExploratory and Confirmatory Factor Analyses of the Minnesota Nicotine Withdrawal Scale (MNWS) and of the MNWS-Revised (MNWS-R). Psychometric properties were also explored. Methods: Adult Italian smokers, 366 in all, were assessed via the MNWS-R together with rating scales measuring cigarette dependence, alcohol use, anxiety sensitivity and negative affect at baseline and after 3 months. Results: The MNWS showed good psychometric properties (α = 0.85; rtt = 0.59) and a unidimensional factor structure. The 2-factor model of MNWS-R had the best fit and the factors were labelled psychological symptoms (α = 0.86; rtt = 0.59) and associated somatic features (α = 0.64; rtt = 0.45). Conclusions: MNWS showed 1 factor; MNWS-R showed 2 relatively dependent factors. The results need to be replicated in smokers in withdrawal.

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“…Those who did not follow the instructions at the next session were withdrawn from the study. All sessions started between 3 -5 p.m. because (a) this allowed for 15 -17 hr smoking abstinence, suffi cient to induce withdrawal ( Heishman, Taylor, & Henningfi eld, 1994 ); (b withdrawal symptoms are stronger in the afternoon than morning or evening ( Perkins, Briski, Fonte, Scott, & Lerman, 2009 ;Schneider & Jarvik, 1984 ); and (c) standardized session times are important when using cognitive tasks affected by diurnal variation.…”

Section: Design and Test Proceduresmentioning

confidence: 99%

Smoking abstinence and reinstatement effects in adolescent cigarette smokers

Colby

Leventhal

Brazil

et al. 2009

Nicotine &Amp; Tobacco Research

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Introduction: The study objectives were to examine smoking abstinence and reinstatement effects on subjective experience and cognitive performance among adolescent smokers.Methods: Adolescents (aged 14 -17 years, 60 daily smokers and 32 nonsmokers) participated. Participants completed baseline assessments (Session 1) and returned to the laboratory 1 -3 days later to repeat assessments (Session 2); half of the smokers were randomly assigned to 15 -17 hr tobacco abstinence preceding Session 2.Results: During Session 2, abstaining smokers reported significantly greater increases in withdrawal symptoms, smoking urges, and negative affect compared with smokers who did not abstain and compared with nonsmokers. Smoking reinstatement reversed abstinence effects, returning to baseline levels for smoking urges and negative affect. Abstaining smokers showed signifi cantly enhanced cognitive performance on two of six tasks (two-letter search compared with nonabstaining smokers; serial reaction time compared with nonsmokers); smoking reinstatement resulted in signifi cant decrements on these two tasks relative to nonabstaining smokers. Discussion: Effects of smoking abstinence and reinstatement on self-report measures are consistent with earlier research with adolescent as well as adult smokers and may help to elucidate the motivational underpinnings of smoking maintenance among adolescent smokers. Effects found on cognitive performance were contrary to hypotheses; further research is needed to understand better the role of cognitive performance effects in smoking maintenance among adolescents.

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Severity of tobacco abstinence symptoms varies by time of day

Cited by 25 publications

References 24 publications

mCrave

mCrave

Factor Analysis and Psychometric Properties of the Minnesota Nicotine Withdrawal Scale and the Minnesota Nicotine Withdrawal Scale-Revised: Italian Version

Smoking abstinence and reinstatement effects in adolescent cigarette smokers

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