Literature DB >> 17977896

Declining estimated prevalence of alcohol drinking and smoking among young adults nationally: artifacts of sample undercoverage?

Cristine D Delnevo1, Daniel A Gundersen, Brett T Hagman.   

Abstract

A growing concern in public health surveillance surveys that rely on random digit dialing for sampling is the exclusion of adults in cell-phone-only households. The purpose of this study was to examine whether recent increases in wireless substitution have affected estimates of tobacco and alcohol use in the Behavioral Risk Factor Surveillance System (BRFSS) in a subpopulation with notable cell-phone usage (i.e., young adults). BRFSS data from 2001-2005 were examined. Analyses were limited to participants aged 18-24 years, and the sample contained approximately 18,500 persons in each year. Prevalence estimates were generated with SUDAAN software for three health behaviors: cigarette smoking, binge drinking, and heavy alcohol consumption. In addition, the authors examined sample completeness for young adults relative to US Census estimates. Overall, prevalences of all three health behaviors among young adults were fairly stable between 2001 and 2003 but significantly decreased between 2003 and 2005. These trends are not replicated in national surveys that use area probability samples. The authors found a declining trend in the sample completeness ratio for young adults; it declined from 0.32 in 2001 to 0.15 in 2005. Given the high prevalence of wireless substitution among young adults and the declining sample completeness ratio, the authors suspect that the observed decreases in prevalence are artifacts of undercoverage.

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Year:  2007        PMID: 17977896     DOI: 10.1093/aje/kwm313

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  20 in total

1.  Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies.

Authors:  Lynda F Voigt; Stephen M Schwartz; David R Doody; Spencer C Lee; Christopher I Li
Journal:  Am J Epidemiol       Date:  2010-11-11       Impact factor: 4.897

2.  Comparison of address-based sampling and random-digit dialing methods for recruiting young men as controls in a case-control study of testicular cancer susceptibility.

Authors:  Bartholt Clagett; Katherine L Nathanson; Stephanie L Ciosek; Monique McDermoth; David J Vaughn; Nandita Mitra; Andrew Weiss; Rachel Martonik; Peter A Kanetsky
Journal:  Am J Epidemiol       Date:  2013-09-05       Impact factor: 4.897

3.  Assessing the feasibility and sample quality of a national random-digit dialing cellular phone survey of young adults.

Authors:  Daniel A Gundersen; Randal S ZuWallack; James Dayton; Sandra E Echeverría; Cristine D Delnevo
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

4.  Reevaluating the need for concern regarding noncoverage bias in landline surveys.

Authors:  Stephen J Blumberg; Julian V Luke
Journal:  Am J Public Health       Date:  2009-08-20       Impact factor: 9.308

5.  Stability of sample quality for a national random-digit dialing cellular phone survey of young adults.

Authors:  Daniel A Gundersen; Kurt R Peters; Ashley Conner; James Dayton; Cristine D Delnevo
Journal:  Am J Epidemiol       Date:  2014-10-28       Impact factor: 4.897

6.  Estimates of cigarette smoking from the NJ adult tobacco survey: real or spurious?

Authors:  Cristine D Delnevo; Daniel A Gundersen; Mary Hrywna; Olivia Wackowski; Randal S Zuwallack
Journal:  Am J Health Behav       Date:  2010 Sep-Oct

Review 7.  Smoking and increased Alzheimer's disease risk: a review of potential mechanisms.

Authors:  Timothy C Durazzo; Niklas Mattsson; Michael W Weiner
Journal:  Alzheimers Dement       Date:  2014-06       Impact factor: 21.566

8.  Changes in alcohol consumption: United States, 2001-2002 to 2012-2013.

Authors:  Deborah A Dawson; Risë B Goldstein; Tulshi D Saha; Bridget F Grant
Journal:  Drug Alcohol Depend       Date:  2014-12-23       Impact factor: 4.492

9.  Binge drinking intensity: a comparison of two measures.

Authors:  Marissa B Esser; Dafna Kanny; Robert D Brewer; Timothy S Naimi
Journal:  Am J Prev Med       Date:  2012-06       Impact factor: 5.043

Review 10.  National Surveys and Tobacco Use Among African Americans: A Review of Critical Factors.

Authors:  Italia V Rolle; Derrick D Beasley; Sara M Kennedy; Valerie J Rock; Linda Neff
Journal:  Nicotine Tob Res       Date:  2016-04       Impact factor: 4.244

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