From Diagnosis to Behaviour Change: Applying the Health Action Process Approach to Smoking Cessation After Head and Neck Cancer

Smoking cessation after a cancer diagnosis is a key determinant of prognosis, yet the psychological mechanisms underlying cessation remain poorly understood. Building on a recently validated Health Action Process Approach (HAPA) scale, this study examined whether baseline HAPA constructs predicted short-term smoking cessation and tobacco dependence in patients with head and neck cancer. Eighty-nine patients completed assessments at diagnosis (T0) and one-month follow-up (T1). Six HAPA constructs were measured at T0: Risk Perception, Outcome Expectancies, Recovery Self-Efficacy, Behavioral Intention, Coping Planning, and Action Control Efficacy. Smoking outcomes at T1 included cigarette dependence (CDS-12) and smoking status. Hierarchical linear regression showed that sociodemographic and clinical variables did not predict dependence, whereas adding HAPA constructs significantly improved prediction (Δ<i>R</i><sup>2</sup> = 0.28, <i>p</i> < 0.001). Higher Risk Perception and Outcome Expectancies were associated with greater dependence, while logistic regression identified Action Control Efficacy as the only independent predictor of smoking cessation. These findings provide the first longitudinal evidence supporting the application of the HAPA framework to smoking cessation after cancer diagnosis and underscore the critical role of volitional processes in early cessation. Targeting action control may therefore enhance the effectiveness of smoking cessation interventions in oncology settings.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2026-02-18
DOI
https://doi.org/10.3390/bs16020293
Primary Topic
Smoking Behavior and Cessation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From Diagnosis to Behaviour Change: Applying the Health Action Process Approach to Smoking Cessation After Head and Neck Cancer

Patrick Raynal, Florence Sordes, É. Chabrillac, Anaëlle Preaubert et al.
Behavioral Sciences
Smoking Behavior and Cessation
article

From Diagnosis to Behaviour Change: Applying the Health Action Process Approach to Smoking Cessation After Head and Neck Cancer

Patrick Raynal, Florence Sordes, É. Chabrillac, Anaëlle Preaubert, Agnès Dupret-Bories
article en

Abstract

Smoking cessation after a cancer diagnosis is a key determinant of prognosis, yet the psychological mechanisms underlying cessation remain poorly understood. Building on a recently validated Health Action Process Approach (HAPA) scale, this study examined whether baseline HAPA constructs predicted short-term smoking cessation and tobacco dependence in patients with head and neck cancer. Eighty-nine patients completed assessments at diagnosis (T0) and one-month follow-up (T1). Six HAPA constructs were measured at T0: Risk Perception, Outcome Expectancies, Recovery Self-Efficacy, Behavioral Intention, Coping Planning, and Action Control Efficacy. Smoking outcomes at T1 included cigarette dependence (CDS-12) and smoking status. Hierarchical linear regression showed that sociodemographic and clinical variables did not predict dependence, whereas adding HAPA constructs significantly improved prediction (Δ<i>R</i><sup>2</sup> = 0.28, <i>p</i> < 0.001). Higher Risk Perception and Outcome Expectancies were associated with greater dependence, while logistic regression identified Action Control Efficacy as the only independent predictor of smoking cessation. These findings provide the first longitudinal evidence supporting the application of the HAPA framework to smoking cessation after cancer diagnosis and underscore the critical role of volitional processes in early cessation. Targeting action control may therefore enhance the effectiveness of smoking cessation interventions in oncology settings.

Behavioral SciencesVol. 16(2)
Université Fédérale de Toulouse Midi-Pyrénées (FR), Centre Hospitalier Universitaire de Toulouse (FR), Institut universitaire du cancer de Toulouse Oncopole (FR), Institut Claudius Regaud (FR)
Institut National Du Cancer, Institut pour la Recherche en Santé Publique
Good health and well-being
Openalex Percentile: Top 50%
Smoking Behavior and Cessation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.