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Pooled time series modeling reveals smoking habit memory pattern


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Rosel, JF, Elipe-Miravet, M, Elosegui, E, Flor-Arasil, P, Machancoses, FH, Pallares, J, Puchol, S and Canales, JJ ORCID: 0000-0003-2884-5227 2020 , 'Pooled time series modeling reveals smoking habit memory pattern' , Frontiers in Psychiatry, vol. 11 , pp. 1-8 , doi: 10.3389/fpsyt.2020.00049.

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Smoking is a habit that is hard to break because nicotine is highly addictive and smokingbehavior is strongly linked to multiple daily activities and routines. Here, we explored theeffect of gender, age, day of the week, and previous smoking on the number of cigarettessmoked on any given day. Data consisted of daily records of the number of cigarettesparticipants smoked over an average period of 84 days. The sample included smokers (36men and 26 women), aged between 18 and 26 years, who smoked at least five cigarettesa day and had smoked for at least 2 years. A panel data analysis was performed by way ofmultilevel pooled time series modeling. Smoking on any given day was a function of thenumber of cigarettes smoked on the previous day, and 2, 7, 14, 21, 28, 35, 42, 49, and 56days previously, and the day of the week. Neither gender nor age influenced this pattern,with no multilevel effects being detected, thus the behavior of all participants fitted thesame smoking model. These novel findings show empirically that smoking behavior isgoverned by firmly established temporal dependence patterns and inform temporalparameters for the rational design of smoking cessation programs.

Item Type: Article
Authors/Creators:Rosel, JF and Elipe-Miravet, M and Elosegui, E and Flor-Arasil, P and Machancoses, FH and Pallares, J and Puchol, S and Canales, JJ
Keywords: tobacco, pooled time series, panel time series, intensive data analysis, memory, multilevel regression
Journal or Publication Title: Frontiers in Psychiatry
Publisher: Frontiers Research Foundation
ISSN: 1664-0640
DOI / ID Number: 10.3389/fpsyt.2020.00049
Copyright Information:

Copyright © 2020 Rosel, Elipe-Miravet, Elósegui, Flor-Arasil, Machancoses, Pallarés, Puchol and Canales. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

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