Pooled Time Series Modeling Reveals Smoking Habit Memory Pattern
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Otros documentos de la autoría: Rosel, Jesús F.; Elipe Miravet, Marcel; Elósegui, Eduardo; Flor Arasil, Patricia; Machancoses, Francisco H.; Pallarés, Jacinto; Puchol, Sara; Canales, Juan J.
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Título
Pooled Time Series Modeling Reveals Smoking Habit Memory PatternAutoría
Fecha de publicación
2020-02-19Editor
Frontiers MediaCita bibliográfica
ROSEL, Jesús F.; ELIPE MIRAVET, Marcel; ELÓSEGUI, Eduardo; FLOR ARASIL, Patricia; MACHANCOSES, Francisco H.; PALLARÉS MESTRE, Jacinto; PUCHOL, Sara; CANALES, Juan J. (2020). Pooled Time Series Modeling Reveals Smoking Habit Memory Pattern. Frontiers in Psychiatry, v. 11, art. 49Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.frontiersin.org/articles/10.3389/fpsyt.2020.00049/fullVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
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 ... [+]
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. [-]
Publicado en
Frontiers in Psychiatry (2020), v. 11Derechos de acceso
info:eu-repo/semantics/openAccess
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