Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis.
Introduction: Effective cigarette smoking prevention and intervention programming is enhanced by accurate understanding of developmental smoking pathways across the life span. This study investigated within-person patterns of cigarette smoking from ages 18 to 50 among a US national sample of high sc...
| Publicado en: | Nicotine & Tobacco Research Vol. 20; no. 1; pp. 108 - 117 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Jan2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126784433&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126784433 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14622203 57O jtl: Nicotine & Tobacco Research issn: 14622203 maglogo: N pubinfo: dt: Jan2018 vid: 20 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 126784433 126784433 NLM28371840 10.1093/ntr/ntx074 NLM28371840 126784433 ppf: 108 ppct: 9 formats: tig: atl: Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis. aug: au: Terry-McElrath, Yvonne M. O'Malley, Patrick M. Johnston, Lloyd D. affil: Institute for Social Research, University of Michigan, Ann Arbor, MI sug: subj: Smoking Cessation Models, Statistical Substance Use Disorders Epidemiology Adult Middle Age Adolescence Substance Use Disorders Prevention and Control Age Factors United States Male Substance Use Disorders Psychosocial Factors Prospective Studies Young Adult Female Arthritis Impact Measurement Scales Adult: 19-44 years Middle Aged: 45-64 years Adolescent: 13-18 years Male Female ab: Introduction: Effective cigarette smoking prevention and intervention programming is enhanced by accurate understanding of developmental smoking pathways across the life span. This study investigated within-person patterns of cigarette smoking from ages 18 to 50 among a US national sample of high school graduates, focusing on identifying ages of particular importance for smoking involvement change.Aims and Methods: Using data from approximately 15,000 individuals participating in the longitudinal Monitoring the Future study, trichotomous measures of past 30-day smoking obtained at 11 time points were modeled using repeated-measures latent class analyses. Sex differences in latent class structure and membership were examined.Results: Twelve latent classes were identified: three characterized by consistent smoking patterns across age (no smoking; smoking < pack per day; smoking pack + per day); three showing uptake to a higher category of smoking across age; four reflecting successful quit behavior by age 50; and two defined by discontinuous shifts between smoking categories. The same latent class structure was found for both males and females, but membership probabilities differed between sexes. Although evidence of increases or decreases in smoking behavior was observed at virtually all ages through 35, 21/22 and 29/30 appeared to be particularly key for smoking category change within class.Conclusions: This examination of latent classes of cigarette smoking among a national US longitudinal sample of high school graduates from ages 18 to 50 identified unique patterns and critical ages of susceptibility to change in smoking category within class. Such information may be of particular use in developing effective smoking prevention and intervention programming.Implications: This study examined cigarette smoking among a national longitudinal US sample of high school graduates from ages 18 to 50 and identified distinct latent classes characterized by patterns of movement between no cigarette use, light-to-moderate smoking, and the conventional definition of heavy smoking at 11 time points via repeated-measures latent class analysis. Membership probabilities for each smoking class were estimated, and critical ages of susceptibility to change in smoking behaviors were identified. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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