Parents who quit smoking and their adult children's smoking cessation: a 20-year follow-up study.

Addiction

Cancer Prevention Research Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109-1024, USA.

Published: June 2009

Aims: Extending our earlier findings from a longitudinal cohort study, this study examines parents' early and late smoking cessation as predictors of their young adult children's smoking cessation.

Design: Parents' early smoking cessation status was assessed when their children were aged 8 years; parents' late smoking cessation was assessed when their children were aged 17 years. Young adult children's smoking cessation, of at least 6 months duration, was assessed at age 28 years.

Setting: Forty Washington State school districts.

Participants And Measurements: Participants were 991 at least weekly smokers at age 17 whose parents were ever regular smokers and who also reported their smoking status at age 28. Questionnaire data were gathered on parents and their children (49% female and 91% Caucasian) in a longitudinal cohort (84% retention).

Findings: Among children who smoked daily at age 17, parents' quitting early (i.e. by the time their children were aged 8) was associated with a 1.7 times higher odds of these children quitting by age 28 compared to those whose parents did not quit [odds ratio (OR) 1.70; 95% confidence interval (CI) 1.23, 2.36]. Results were similar among children who smoked weekly at age 17 (OR 1.91; 95% CI 1.41, 2.58). There was a similar, but non-significant, pattern of results among those whose parents quit late.

Conclusions: Supporting our earlier findings, results suggest that parents' early smoking cessation has a long-term influence on their adult children's smoking cessation. Parents who smoke should be encouraged to quit when their children are young.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2720994PMC
http://dx.doi.org/10.1111/j.1360-0443.2009.02547.xDOI Listing

Publication Analysis

Top Keywords

smoking cessation
28
adult children's
16
children's smoking
16
parents quit
12
parents' early
12
children aged
12
smoking
10
earlier findings
8
longitudinal cohort
8
late smoking
8

Similar Publications

[Stroke in octogenarians].

Radiologie (Heidelb)

January 2025

Klinik für Diagnostische, und Interventionelle Neuroradiologie, Universitätsklinikum des Saarlandes, Kirrberger Straße, 66424, Homburg-Saar, Deutschland.

Stroke is one of the most common causes of disability in older adults. It remains a common cause of death and permanent functional limitation in individuals who are older than 80 years. Approximately 50% of all strokes occur in people over the age of 75, and 30% in those over 85.

View Article and Find Full Text PDF

Introduction: Smoking causes lung cancer and a wide range of acute and chronic diseases annually throughout the world. A fourth-generation behavioral framework, namely the Multi-Theory Model (MTM) of health behavior change was used to predict the initiation and maintenance of smoking cessation among health worker smokers.

Methods: A cross-sectional study of 170 smoking healthcare workers was conducted in Kabul.

View Article and Find Full Text PDF

Purpose: This study explored the effect of four different smoking statuses (non-smokers, moderate smokers, heavy smokers, and former smokers) on health-related quality of life (HRQOL) among residents aged 15 years and older in Sichuan Province, China with consideration of potential differences among age groups (young, middle-aged, and older adults).

Methods: The EQ-5D-5L utility index and EQ-VAS score were used to measure HRQOL. Self-reporting and salivary cotinine test were used to determine the smoking status of respondents, and the Tobit regression model was used to explore the relationship between smoking status and HRQOL.

View Article and Find Full Text PDF

Background: Individuals with mental health disorders face major barriers in accessing smoking cessation care, often due to the stigmas associated with mental disorders and addiction. Consequently, accessible population-based smoking cessation interventions are needed for this vulnerable group.

Objective: This secondary analysis utilized data from a 12-month randomized trial to examine whether an acceptance and commitment therapy-based app (iCanQuit) demonstrated greater efficacy, engagement, and satisfaction compared to a United States (US) Clinical Practice Guidelines-based app (QuitGuide) in helping adults with mental health disorders quit smoking.

View Article and Find Full Text PDF

Harnessing machine learning in contemporary tobacco research.

Toxicol Rep

June 2025

Division of Molecular Medicine, Bose Institute, Kolkata 700054, India.

Machine learning (ML) has the potential to transform tobacco research and address the urgent public health crisis posed by tobacco use. Despite the well-documented health risks, cessation rates remain low. ML techniques offer innovative solutions by analyzing vast datasets to uncover patterns in smoking behavior, genetic predispositions, and effective cessation strategies.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!