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[Smoking trajectories among Hungarian adolescents].
Orvosi Hetilap 2017 January
INTRODUCTION: Understanding adolescent smoking trajectories is necessary for tailored prevention programs.
AIM: To identify adolescent cigarette use patterns and risk factors of smoking trajectories by a longitudinal study.
METHOD: We conducted a three-year prospective survey in two age cohorts (6th and 9th school grades) of metropolitan adolescents (n = 1,092) with yearly data collection by self-administered questionnaires. Five smoking trajectory groups were defined by cigarette smoking data.
RESULTS: 67.5% of the sample remained nonsmoker, 11.3% smoked all the time, 14.3% were initiators, 3.3% quitters and 3.7% experimenters. Members of smoking trajectory groups differed significantly from each other according to number of smoking friends, parental smoking, family structure, academic achievement and weekly allowance at baseline.
CONCLUSIONS: Concerning tobacco prevention programs, adolescents are not homogenous population, because distinct set of risk factors are highlighted in their different smoking behavior groups. Orv. Hetil., 2017, 158(2), 67-76.
AIM: To identify adolescent cigarette use patterns and risk factors of smoking trajectories by a longitudinal study.
METHOD: We conducted a three-year prospective survey in two age cohorts (6th and 9th school grades) of metropolitan adolescents (n = 1,092) with yearly data collection by self-administered questionnaires. Five smoking trajectory groups were defined by cigarette smoking data.
RESULTS: 67.5% of the sample remained nonsmoker, 11.3% smoked all the time, 14.3% were initiators, 3.3% quitters and 3.7% experimenters. Members of smoking trajectory groups differed significantly from each other according to number of smoking friends, parental smoking, family structure, academic achievement and weekly allowance at baseline.
CONCLUSIONS: Concerning tobacco prevention programs, adolescents are not homogenous population, because distinct set of risk factors are highlighted in their different smoking behavior groups. Orv. Hetil., 2017, 158(2), 67-76.
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