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Pooled time series modeling reveals smoking habit memory pattern
Citation
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, Pooled time series modeling reveals smoking habit memory pattern, Frontiers in Psychiatry, 11 pp. 1-8. ISSN 1664-0640 (2020) [Refereed Article]
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Copyright Statement
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) https://creativecommons.org/licenses/by/4.0/
DOI: doi:10.3389/fpsyt.2020.00049
Abstract
Smoking is a habit that is hard to break because nicotine is highly addictive and smoking
behavior is strongly linked to multiple daily activities and routines. Here, we explored the
effect of gender, age, day of the week, and previous smoking on the number of cigarettes
smoked on any given day. Data consisted of daily records of the number of cigarettes
participants smoked over an average period of 84 days. The sample included smokers (36
men and 26 women), aged between 18 and 26 years, who smoked at least five cigarettes
a day and had smoked for at least 2 years. A panel data analysis was performed by way of
multilevel pooled time series modeling. Smoking on any given day was a function of the
number of cigarettes smoked on the previous day, and 2, 7, 14, 21, 28, 35, 42, 49, and 56
days 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 the
same smoking model. These novel findings show empirically that smoking behavior is
governed by firmly established temporal dependence patterns and inform temporal
parameters for the rational design of smoking cessation programs.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | tobacco, pooled time series, panel time series, intensive data analysis, memory, multilevel regression |
| Research Division: | Psychology |
| Research Group: | Biological psychology |
| Research Field: | Behavioural neuroscience |
| Objective Division: | Expanding Knowledge |
| Objective Group: | Expanding knowledge |
| Objective Field: | Expanding knowledge in psychology |
| UTAS Author: | Canales, JJ (Professor Juan Canales) |
| ID Code: | 140234 |
| Year Published: | 2020 |
| Web of Science® Times Cited: | 1 |
| Deposited By: | Psychology |
| Deposited On: | 2020-08-03 |
| Last Modified: | 2020-09-16 |
| Downloads: | 20 View Download Statistics |
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