Smoking recurrence: A Survival Analysis

This study applies Survival Analysis to model the time until smoking relapse, considering social, demographic and clinical variables, such as age group, gender, type of treatment and time as a smoker. Survival curves are estimated using the Kaplan-Meier and Nelson-Aalen methods, showing differences between groups. The Logrank and Wilcoxon tests indicated significance only for age group. In the Cox modeling, the type of treatment and age group stood out as relevant. It was concluded that combined treatments with three interventions are more effective, especially for young people, who require greater support and awareness.

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Publication Details

Journal
Socioeconomic Analytics
Published
2024-12-20
DOI
https://doi.org/10.51359/2965-4661.2024.265079
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
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article

Smoking recurrence: A Survival Analysis

G. de F. M. Vieira e Souza, Daniel Cruz Cordeiro, Ana Beatriz Ramos Da Silva
Socioeconomic Analytics
Smoking Behavior and Cessation
article

Smoking recurrence: A Survival Analysis

G. de F. M. Vieira e Souza, Daniel Cruz Cordeiro, Ana Beatriz Ramos Da Silva
article en

Abstract

This study applies Survival Analysis to model the time until smoking relapse, considering social, demographic and clinical variables, such as age group, gender, type of treatment and time as a smoker. Survival curves are estimated using the Kaplan-Meier and Nelson-Aalen methods, showing differences between groups. The Logrank and Wilcoxon tests indicated significance only for age group. In the Cox modeling, the type of treatment and age group stood out as relevant. It was concluded that combined treatments with three interventions are more effective, especially for young people, who require greater support and awareness.

Socioeconomic AnalyticsVol. 2(1)
Universidade Estadual da Paraíba (BR)
Good health and well-being
Openalex Percentile: Top 66%
Smoking Behavior and Cessation
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