INTRODUCTION: The objective of this study was to describe tobacco and nicotine product use state transition probabilities among youth and young adults over time. METHODS: A national sample of young adult tobacco product users and nonusers between the ages of 18 and 34 years at baseline was surveyed at 6-month intervals for 3 years. Use and nonuse states were defined as mutually exclusive categories based on self-reported, past 30-day use of the various products. Never use, noncurrent use, and current use of combustible, noncombustible tobacco, and electronic cigarette (e-cigarette) products was assessed at each interval. A multistate model was fit to estimate transition probabilities between states and length of stay within each state. RESULTS: After 6 months, same-state transition probabilities were high for all use states (0.76-0.96), except for dual product use (0.48). After 3 years, transition probabilities were smaller and tended to converge toward combustible product use for baseline e-cigarette (0.42), combustible (0.51), and dual product users (0.52). Age was inversely associated with transition risk from never or noncurrent use to use of combustible or e-cigarette products. CONCLUSIONS: Never and noncurrent users, followed by combustible product users, were most likely to remain in those states throughout the 3-year observation interval. Users of any tobacco or e-cigarette product at baseline were most likely to transition to combustible product use or noncurrent use by the final follow-up. IMPLICATIONS: This study describes the probability of transitioning between various states of tobacco product use, including never and no current use, over a span of 3 years in a sample of young adults. This type of longitudinal description, which includes all tobacco product use states, is lacking in most studies that tend to focus on one or only a few products. The results suggest that it is important to assess outcomes over a sufficiently long period to capture true variability in patterns of product use.
INTRODUCTION: The objective of this study was to describe tobacco and nicotine product use state transition probabilities among youth and young adults over time. METHODS: A national sample of young adult tobacco product users and nonusers between the ages of 18 and 34 years at baseline was surveyed at 6-month intervals for 3 years. Use and nonuse states were defined as mutually exclusive categories based on self-reported, past 30-day use of the various products. Never use, noncurrent use, and current use of combustible, noncombustible tobacco, and electronic cigarette (e-cigarette) products was assessed at each interval. A multistate model was fit to estimate transition probabilities between states and length of stay within each state. RESULTS: After 6 months, same-state transition probabilities were high for all use states (0.76-0.96), except for dual product use (0.48). After 3 years, transition probabilities were smaller and tended to converge toward combustible product use for baseline e-cigarette (0.42), combustible (0.51), and dual product users (0.52). Age was inversely associated with transition risk from never or noncurrent use to use of combustible or e-cigarette products. CONCLUSIONS: Never and noncurrent users, followed by combustible product users, were most likely to remain in those states throughout the 3-year observation interval. Users of any tobacco or e-cigarette product at baseline were most likely to transition to combustible product use or noncurrent use by the final follow-up. IMPLICATIONS: This study describes the probability of transitioning between various states of tobacco product use, including never and no current use, over a span of 3 years in a sample of young adults. This type of longitudinal description, which includes all tobacco product use states, is lacking in most studies that tend to focus on one or only a few products. The results suggest that it is important to assess outcomes over a sufficiently long period to capture true variability in patterns of product use.
Authors: Cassandra A Stanton; Eva Sharma; Elizabeth L Seaman; Karin A Kasza; Kathryn C Edwards; Michael J Halenar; Kristie A Taylor; Hannah Day; Gabriella Anic; Lynn C Hull; Maansi Bansal-Travers; Jean Limpert; Lisa D Gardner; Hoda T Hammad; Nicolette Borek; Heather L Kimmel; Wilson M Compton; Andrew Hyland Journal: Tob Control Date: 2020-05 Impact factor: 7.552
Authors: Andrew F Brouwer; Jihyoun Jeon; Steven F Cook; Bukola Usidame; Jana L Hirschtick; Evelyn Jimenez-Mendoza; Ritesh Mistry; Nancy L Fleischer; Theodore R Holford; David Mendez; David T Levy; Rafael Meza Journal: Am J Prev Med Date: 2021-11-03 Impact factor: 5.043
Authors: Melissa B Harrell; Baojiang Chen; Stephanie L Clendennen; Aslesha Sumbe; Kathleen R Case; Anna V Wilkinson; Alexandra Loukas; Cheryl L Perry Journal: Prev Med Date: 2021-06-01 Impact factor: 4.637
Authors: Alyssa F Harlow; Jessica L Fetterman; Craig S Ross; Rose Marie Robertson; Aruni Bhatnagar; Emelia J Benjamin; Andrew C Stokes Journal: Tob Control Date: 2021-01-21 Impact factor: 6.953
Authors: Andrew F Brouwer; Jihyoun Jeon; Jana L Hirschtick; Evelyn Jimenez-Mendoza; Ritesh Mistry; Irina V Bondarenko; Stephanie R Land; Theodore R Holford; David T Levy; Jeremy M G Taylor; Nancy L Fleischer; Rafael Meza Journal: Tob Control Date: 2020-11-16 Impact factor: 7.552
Authors: Marina Epstein; Jennifer A Bailey; Rick Kosterman; Isaac C Rhew; Madeline Furlong; Sabrina Oesterle; Sean Esteban McCabe Journal: Addiction Date: 2021-02-03 Impact factor: 6.526
Authors: Nkiruka C Atuegwu; Mark D Litt; Suchitra Krishnan-Sarin; Reinhard C Laubenbacher; Mario F Perez; Eric M Mortensen Journal: Int J Environ Res Public Health Date: 2021-05-20 Impact factor: 3.390