2026-08-25T19:35:04Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/228772024-09-13T09:11:48Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud
author
Perez-Pareja, Francisco J
author
García-Pazo, Patricia
author
Jiménez, Rafael
author
Escalas, Teemu
author
Gervilla Garcia, Elena
2024-09-13T09:11:48Z
2024-09-13T09:11:48Z
2020-11
Perez-Pareja FJ, Garcia-Pazo P, Jimenez R, Escalas T, Gervilla E. Quitting smoking, cognitive behavioral therapy and differential profiles with decision trees. Clin Salud. 2020 Nov;31(3):137-45.
10.5093/clysa2020a12
2174-0550
1130-5274
Clinica y Salud
http://hdl.handle.net/20.500.13003/9069
2-s2.0-85096051593
https://hdl.handle.net/20.500.12105/22877
581865700003
The aim of this study is to analyse if gender, nicotine dependence, and emotional variables (anxiety, depression, and anger) help to describe a patient profile that could benefit from a cognitive behavioral therapy (CDT) to quit tobacco addiction. The sample consisted of 120 adult smokers who voluntarily received the CBT. Decision trees were used to assess patients' treatment adherence and program success. Data showed that just programme adherence implied a high success probability (86.4%), increasing to 95.6% when participants showed a high anger response. Besides, treatment adherence was 100% when anxiety in an evaluative context, physiologic anxiety, and motivation were high. Finding these differential profiles would help to determine the patient profile that would benefit most from treatment, and would increase their effectiveness.
spa
Quitting smoking
Gender
Anxiety
Depression
Anger
Quitting smoking, cognitive behavioral therapy and differential profiles with decision trees
research article