Cargando…
A prognostic tool to identify adolescents at high risk of becoming daily smokers
BACKGROUND: The American Academy of Pediatrics advocates that pediatricians should be involved in tobacco counseling and has developed guidelines for counseling. We present a prognostic tool for use by health care practitioners in both clinical and non-clinical settings, to identify adolescents at r...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199792/ https://www.ncbi.nlm.nih.gov/pubmed/21834962 http://dx.doi.org/10.1186/1471-2431-11-70 |
_version_ | 1782214597509382144 |
---|---|
author | Karp, Igor Paradis, Gilles Lambert, Marie Dugas, Erika O'Loughlin, Jennifer |
author_facet | Karp, Igor Paradis, Gilles Lambert, Marie Dugas, Erika O'Loughlin, Jennifer |
author_sort | Karp, Igor |
collection | PubMed |
description | BACKGROUND: The American Academy of Pediatrics advocates that pediatricians should be involved in tobacco counseling and has developed guidelines for counseling. We present a prognostic tool for use by health care practitioners in both clinical and non-clinical settings, to identify adolescents at risk of becoming daily smokers. METHODS: Data were drawn from the Nicotine Dependence in Teens (NDIT) Study, a prospective investigation of 1293 adolescents, initially aged 12-13 years, recruited in 10 secondary schools in Montreal, Canada in 1999. Questionnaires were administered every three months for five years. The prognostic tool was developed using estimated coefficients from multivariable logistic models. Model overfitting was corrected using bootstrap cross-validation. Goodness-of-fit and predictive ability of the models were assessed by R(2), the c-statistic, and the Hosmer-Lemeshow test. RESULTS: The 1-year and 2-year probability of initiating daily smoking was a joint function of seven individual characteristics: age; ever smoked; ever felt like you needed a cigarette; parent(s) smoke; sibling(s) smoke; friend(s) smoke; and ever drank alcohol. The models were characterized by reasonably good fit and predictive ability. They were transformed into user-friendly tables such that the risk of daily smoking can be easily computed by summing points for responses to each item. The prognostic tool is also available on-line at http://episerve.chumontreal.qc.ca/calculation_risk/daily-risk/daily_smokingadd.php. CONCLUSIONS: The prognostic tool to identify youth at high risk of daily smoking may eventually be an important component of a comprehensive tobacco control system. |
format | Online Article Text |
id | pubmed-3199792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31997922011-10-25 A prognostic tool to identify adolescents at high risk of becoming daily smokers Karp, Igor Paradis, Gilles Lambert, Marie Dugas, Erika O'Loughlin, Jennifer BMC Pediatr Research Article BACKGROUND: The American Academy of Pediatrics advocates that pediatricians should be involved in tobacco counseling and has developed guidelines for counseling. We present a prognostic tool for use by health care practitioners in both clinical and non-clinical settings, to identify adolescents at risk of becoming daily smokers. METHODS: Data were drawn from the Nicotine Dependence in Teens (NDIT) Study, a prospective investigation of 1293 adolescents, initially aged 12-13 years, recruited in 10 secondary schools in Montreal, Canada in 1999. Questionnaires were administered every three months for five years. The prognostic tool was developed using estimated coefficients from multivariable logistic models. Model overfitting was corrected using bootstrap cross-validation. Goodness-of-fit and predictive ability of the models were assessed by R(2), the c-statistic, and the Hosmer-Lemeshow test. RESULTS: The 1-year and 2-year probability of initiating daily smoking was a joint function of seven individual characteristics: age; ever smoked; ever felt like you needed a cigarette; parent(s) smoke; sibling(s) smoke; friend(s) smoke; and ever drank alcohol. The models were characterized by reasonably good fit and predictive ability. They were transformed into user-friendly tables such that the risk of daily smoking can be easily computed by summing points for responses to each item. The prognostic tool is also available on-line at http://episerve.chumontreal.qc.ca/calculation_risk/daily-risk/daily_smokingadd.php. CONCLUSIONS: The prognostic tool to identify youth at high risk of daily smoking may eventually be an important component of a comprehensive tobacco control system. BioMed Central 2011-08-11 /pmc/articles/PMC3199792/ /pubmed/21834962 http://dx.doi.org/10.1186/1471-2431-11-70 Text en Copyright ©2011 Karp et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Karp, Igor Paradis, Gilles Lambert, Marie Dugas, Erika O'Loughlin, Jennifer A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title | A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title_full | A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title_fullStr | A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title_full_unstemmed | A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title_short | A prognostic tool to identify adolescents at high risk of becoming daily smokers |
title_sort | prognostic tool to identify adolescents at high risk of becoming daily smokers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3199792/ https://www.ncbi.nlm.nih.gov/pubmed/21834962 http://dx.doi.org/10.1186/1471-2431-11-70 |
work_keys_str_mv | AT karpigor aprognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT paradisgilles aprognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT lambertmarie aprognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT dugaserika aprognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT oloughlinjennifer aprognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT karpigor prognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT paradisgilles prognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT lambertmarie prognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT dugaserika prognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers AT oloughlinjennifer prognostictooltoidentifyadolescentsathighriskofbecomingdailysmokers |