Literature DB >> 31054906

Early smoking-onset age and risk of cardiovascular disease and mortality.

Manel Fa-Binefa1, Albert Clará2, Silvia Pérez-Fernández3, Maria Grau3, Irene R Dégano4, Ruth Marti-Lluch5, Rafel Ramos6, Jaume Marrugat3, Roberto Elosua7.   

Abstract

Early smoking onset age (SOA) is a public health concern with scant empirical evidence of its role in health outcomes. The study had two aims: i) to assess whether an early SOA was associated with the risk of fatal and non-fatal CVD and all-cause and CVD mortality and ii) to explore the linear and non-linear association between SOA and the outcomes of interest. Data from 4499 current or former smokers, recruited from 1995 to 2005, aged 25 to 79 years, and with a median 7.02 years of follow-up, were obtained from the REGICOR population-based cohort. In the present analysis, performed in 2018, the independent variable was SOA and the dependent variables were CVD events, CVD mortality, and all-cause mortality. Penalized smoothing spline methods were used to assess the linear and non-linear association. During follow-up, 361 deaths and 210 CVD events were recorded. A significant non-linear component was identified in the association between SOA and CVD outcomes with a cut-off point at 12 years: In the group aged ≤12 years, each year of delay in SOA was inversely associated with CVD risk (HR = 0.71; 95%CI = 0.53-0.96) and CVD mortality (HR = 0.58; 95%CI = 0.37-0.90). No association was observed in the older SOA group. A linear association was observed between SOA and all-cause mortality, and each year of delay was associated with 4% lower risk of mortality (HR = 0.96; 95%CI = 0.93-0.98). The associations were adjusted for lifelong exposure to tobacco and cardiovascular risk factors. These results reinforce the value of preventing tobacco use among teenagers and adolescents.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Keywords:  Cardiovascular diseases; Cardiovascular risk; Mortality; Smoking; Smoking onset age; Youth

Mesh:

Year:  2019        PMID: 31054906     DOI: 10.1016/j.ypmed.2019.04.022

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  5 in total

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Journal:  Int J Environ Res Public Health       Date:  2021-01-21       Impact factor: 3.390

4.  Validation of the Malay Version of the Decisional Balance Inventory (MDBI) among secondary school-going adolescents.

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Journal:  Tob Induc Dis       Date:  2022-09-19       Impact factor: 5.163

5.  Trends and Risk Factors of Metabolic Syndrome among Korean Adolescents, 2007 to 2018.

Authors:  Jiun Chae; Moon Young Seo; Shin-Hye Kim; Mi Jung Park
Journal:  Diabetes Metab J       Date:  2021-07-06       Impact factor: 5.376

  5 in total

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