Literature DB >> 22040588

APC modeling of smoking prevalence among US adolescents and young adults.

Xinguang Chen1, Feng Lin, Bonita Stanton, Xun Zhang.   

Abstract

OBJECTIVE: To investigate the association of age, period, and cohort with the changing pattern of cigarette smoking among youth and young adults for better planning tobacco control in the United States.
METHODS: Age-period-cohort analysis of the 1990-2005 National Survey on Drug Use and Health data.
RESULTS: Rates of lifetime and 30-day smoking for adolescents fluctuated between 1990 and 1996 before they declined; the same rates for young adults progressively increased until 2002 before declining. There were significant cohort effects on changes in the prevalence rates of cigarette smoking.
CONCLUSIONS: The cohort effects on smoking underscore the need for sustained tobacco control policies.

Entities:  

Mesh:

Year:  2011        PMID: 22040588      PMCID: PMC3262964          DOI: 10.5993/ajhb.35.4.4

Source DB:  PubMed          Journal:  Am J Health Behav        ISSN: 1087-3244


  30 in total

1.  Trends in adult cigarette smoking in California compared with the rest of the United States, 1978-1994.

Authors:  M Siegel; P D Mowery; T P Pechacek; W J Strauss; M W Schooley; R K Merritt; T E Novotny; G A Giovino; M P Eriksen
Journal:  Am J Public Health       Date:  2000-03       Impact factor: 9.308

2.  Secular trends in adolescent never smoking from 1990 to 1999 in California: an age-period-cohort analysis.

Authors:  Xinguang Chen; Guohua Li; Jennifer B Unger; Xiaowei Liu; C Anderson Johnson
Journal:  Am J Public Health       Date:  2003-12       Impact factor: 9.308

3.  Young adults: vulnerable new targets of tobacco marketing.

Authors:  Lois Biener; Alison B Albers
Journal:  Am J Public Health       Date:  2004-02       Impact factor: 9.308

4.  A meta-evaluation of 11 school-based smoking prevention programs.

Authors:  Lynne R Tingle; Marie DeSimone; Benjamin Covington
Journal:  J Sch Health       Date:  2003-02       Impact factor: 2.118

5.  Why and how the tobacco industry sells cigarettes to young adults: evidence from industry documents.

Authors:  Pamela M Ling; Stanton A Glantz
Journal:  Am J Public Health       Date:  2002-06       Impact factor: 9.308

6.  Pilot study of smoking, alcohol and drug abuse prevention.

Authors:  A McAlister; C Perry; J Killen; L A Slinkard; N Maccoby
Journal:  Am J Public Health       Date:  1980-07       Impact factor: 9.308

7.  Has the California tobacco control program reduced smoking?

Authors:  J P Pierce; E A Gilpin; S L Emery; M M White; B Rosbrook; C C Berry; A J Farkas
Journal:  JAMA       Date:  1998-09-09       Impact factor: 56.272

8.  Ten-year changes in smoking among young adults: are racial differences explained by socioeconomic factors in the CARDIA study?

Authors:  C I Kiefe; O D Williams; C E Lewis; J J Allison; P Sekar; L E Wagenknecht
Journal:  Am J Public Health       Date:  2001-02       Impact factor: 9.308

9.  Hazard of smoking initiation by age among adolescents in Wuhan, China.

Authors:  X Chen; Y Li; J B Unger; J Gong; C A Johnson; Q Guo
Journal:  Prev Med       Date:  2001-05       Impact factor: 4.018

View more
  14 in total

1.  Benefits gained, benefits lost: comparing baby boomers to other generations in a longitudinal cohort study of self-rated health.

Authors:  Elizabeth M Badley; Mayilee Canizares; Anthony V Perruccio; Sheilah Hogg-Johnson; Monique A M Gignac
Journal:  Milbank Q       Date:  2015-03       Impact factor: 4.911

2.  Time Trends in Smoking Onset by Sex and Race/Ethnicity Among Adolescents and Young Adults: Findings From the 2006-2013 National Survey on Drug Use and Health.

Authors:  Azure B Thompson; Paul D Mowery; Jacob Kraemer Tebes; Sherry A McKee
Journal:  Nicotine Tob Res       Date:  2018-02-07       Impact factor: 4.244

3.  Modeling Drinking Behavior Progression in Youth with Cross-sectional Data: Solving an Under-identified Probabilistic Discrete Event System.

Authors:  Xingdi Hu; Xinguang Chen; Robert L Cook; Ding-Geng Chen; Chukwuemeka Okafor
Journal:  Curr HIV Res       Date:  2016       Impact factor: 1.581

4.  Estimating Transitional Probabilities with Cross-Sectional Data to Assess Smoking Behavior Progression: A Validation Analysis.

Authors:  Xinguang Chen; Feng Lin
Journal:  J Biom Biostat       Date:  2012-09-03

5.  Exposure to school and community based prevention programs and reductions in cigarette smoking among adolescents in the United States, 2000-08.

Authors:  Xinguang Chen; Yuanjing Ren; Feng Lin; Karen MacDonell; Yifan Jiang
Journal:  Eval Program Plann       Date:  2011-12-13

6.  Smoking trajectories among Koreans in Seoul and California: exemplifying a common error in age parameterization.

Authors:  Jon-Patrick Allem; John W Ayers; Jennifer B Unger; Veronica L Irvin; C Richard Hofstetter; Melbourne F Hovell
Journal:  Asian Pac J Cancer Prev       Date:  2012

7.  Time trends of Italian former smokers 1980-2009 and 2010-2030 projections using a Bayesian age period cohort model.

Authors:  Giulia Carreras; Giuseppe Gorini
Journal:  Int J Environ Res Public Health       Date:  2013-12-19       Impact factor: 3.390

8.  The Effects of Age, Period, and Cohort on Mortality from Ischemic Heart Disease in China.

Authors:  Jie Chang; Boyang Li; Jingjing Li; Yang Sun
Journal:  Int J Environ Res Public Health       Date:  2017-01-07       Impact factor: 3.390

9.  Age-period-cohort analysis of smoking prevalence among young adults in Korea.

Authors:  Yong Ho Jee; Sung-Il Cho
Journal:  Epidemiol Health       Date:  2016-03-19

10.  Do baby boomers use more healthcare services than other generations? Longitudinal trajectories of physician service use across five birth cohorts.

Authors:  Mayilee Canizares; Monique Gignac; Sheilah Hogg-Johnson; Richard H Glazier; Elizabeth M Badley
Journal:  BMJ Open       Date:  2016-09-29       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.