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Assessing 30-day quantity-frequency of U.S. adolescent cigarette smoking as a predictor of adult smoking 14 years later.
Saddleson, M L; Kozlowski, L T; Giovino, G A; Homish, G G; Mahoney, M C; Goniewicz, M L.
Afiliação
  • Saddleson ML; University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA. Electronic address: mls38@buffalo.edu.
  • Kozlowski LT; University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA.
  • Giovino GA; University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA.
  • Homish GG; University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA.
  • Mahoney MC; University at Buffalo, State University of New York, School of Public Health and Health Professions, Department of Community Health and Health Behavior, Buffalo, NY, USA; Roswell Park Cancer Institute, Department of Medicine and Department of Health Behavior, Buffalo, NY, USA.
  • Goniewicz ML; Roswell Park Cancer Institute, Department of Health Behavior, Buffalo, NY, USA.
Drug Alcohol Depend ; 162: 92-8, 2016 May 01.
Article em En | MEDLINE | ID: mdl-26987520
ABSTRACT

BACKGROUND:

To improve measures of monthly tobacco cigarette smoking among non-daily smokers, predictive of future non-daily monthly and daily smoking.

METHODS:

Data from United States National Longitudinal Study of Adolescent to Adult Health, tracking adolescents, ages 12-21, over 14 years were analyzed. At baseline, 6501 adolescents were assessed; 5114 individuals provided data at waves 1 and 4. Baseline past 30-day non-daily smokers were classified using quantity-frequency

measures:

cigarettes smoked/day by number of days smoked in the past 30 days.

RESULTS:

Three categories of past 30-day non-daily smokers emerged using cigarettes/month (low1-5, moderate 6-60, high 61+) and predicted past 30-day smoking at follow-up (low 44.5%, moderate 60.0%, high 77.0%, versus 74.2% daily smokers; rτ=-0.2319, p<0.001). Two categories of non-smokers plus low, moderate and high categories of non-daily smokers made up a five-category non-daily smoking index (NDSI). High NDSI (61+ cigs/mo.) and daily smokers were equally likely to be smoking 14 years later (High NDSI OR=0.97, 95% CI=0.53-1.80 [daily as reference]). Low (1-5 cigs/mo.) and moderate (6-60 cigs/mo.) NDSI were distinctly different from high NDSI, but similar to one another (OR=0.21, 95% CI=0.15-0.29 and OR=0.22, 95% CI=0.14-0.34, respectively) when estimating future monthly smoking. Among those smoking at both waves, wave 1 non-daily smokers, overall, were less likely than wave 1 daily smokers to be smoking daily 14 years later.

CONCLUSIONS:

Non-daily smokers smoking over three packs/month were as likely as daily smokers to be smoking 14-years later. Lower levels of non-daily smoking (at ages 12-21) predicted lower likelihood of future monthly smoking. In terms of surveillance and cessation interventions, high NDSI smokers might be treated similar to daily smokers.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Comportamento do Adolescente Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fumar / Comportamento do Adolescente Idioma: En Ano de publicação: 2016 Tipo de documento: Article