Literature DB >> 24100957

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

Daniel A Gundersen, Randal S ZuWallack, James Dayton, Sandra E Echeverría, Cristine D Delnevo.   

Abstract

The majority of adults aged 18-34 years have only cellular phones, making random-digit dialing of landline telephones an obsolete methodology for surveillance of this population. However, 95% of this group has cellular phones. This article reports on the 2011 National Young Adult Health Survey (NYAHS), a pilot study conducted in the 50 US states and Washington, DC, that used random-digit dialing of cellular phones and benchmarked this methodology against that of the 2011 Behavioral Risk Factor Surveillance System (BRFSS). Comparisons of the demographic distributions of subjects in the NYAHS and BRFSS (aged 18-34 years) with US Census data revealed adequate reach for all demographic subgroups. After adjustment for design factors, the mean absolute deviations across demographic groups were 3 percentage points for the NYAHS and 2.8 percentage points for the BRFSS, nationally, and were comparable for each census region. Two-sided z tests comparing cigarette smoking prevalence revealed no significant differences between NYAHS and BRFSS participants overall or by subgroups. The design effects of the sampling weight were 2.09 for the NYAHS and 3.26 for the BRFSS. Response rates for the NYAHS and BRFSS cellular phone sampling frames were comparable. Our assessment of the NYAHS methodology found that random-digit dialing of cellular phones is a feasible methodology for surveillance of young adults.

Entities:  

Keywords:  cellular phone; random-digit dialing; sample quality; sampling; single-frame sampling design; surveillance; survey methodology; young adults

Mesh:

Year:  2013        PMID: 24100957      PMCID: PMC3864711          DOI: 10.1093/aje/kwt226

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


  7 in total

1.  Telephone coverage and health survey estimates: evaluating the need for concern about wireless substitution.

Authors:  Stephen J Blumberg; Julian V Luke; Marcie L Cynamon
Journal:  Am J Public Health       Date:  2006-03-29       Impact factor: 9.308

2.  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

3.  Wireless substitution: state-level estimates from the National Health Interview Survey, January 2007-June 2010.

Authors:  Stephen J Blumberg; Julian V Luke; Nadarajasundaram Ganesh; Michael E Davern; Michel H Boudreaux; Karen Soderberg
Journal:  Natl Health Stat Report       Date:  2011-04-20

4.  Editors and researchers beware: calculating response rates in random digit dial health surveys.

Authors:  Grant R Martsolf; Robert E Schofield; David R Johnson; Dennis P Scanlon
Journal:  Health Serv Res       Date:  2012-09-21       Impact factor: 3.402

Review 5.  Monitoring the tobacco use epidemic III: The host: data sources and methodological challenges.

Authors:  Cristine D Delnevo; Ursula E Bauer
Journal:  Prev Med       Date:  2008-09-25       Impact factor: 4.018

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

Authors:  Cristine D Delnevo; Daniel A Gundersen; Brett T Hagman
Journal:  Am J Epidemiol       Date:  2007-10-31       Impact factor: 4.897

7.  Integrating a multimode design into a national random-digit-dialed telephone survey.

Authors:  Shaohua Sean Hu; Carol Pierannunzi; Lina Balluz
Journal:  Prev Chronic Dis       Date:  2011-10-17       Impact factor: 2.830

  7 in total
  16 in total

1.  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

2.  Reaching a representative sample of college students: A comparative analysis.

Authors:  Daniel P Giovenco; Daniel A Gundersen; Cristine D Delnevo
Journal:  J Am Coll Health       Date:  2016

3.  Social norms and its correlates as a pathway to smoking among young Latino adults.

Authors:  Sandra E Echeverría; Daniel A Gundersen; Michelle T B Manderski; Cristine D Delnevo
Journal:  Soc Sci Med       Date:  2014-11-20       Impact factor: 4.634

4.  Tobacco industry direct mail receipt and coupon use among young adult smokers.

Authors:  M Jane Lewis; Michelle T Bover Manderski; Cristine D Delnevo
Journal:  Prev Med       Date:  2014-12-12       Impact factor: 4.018

5.  Reasons to quit and barriers to quitting smoking in US young adults.

Authors:  Andrea C Villanti; Michelle T Bover Manderski; Daniel A Gundersen; Michael B Steinberg; Cristine D Delnevo
Journal:  Fam Pract       Date:  2016-01-04       Impact factor: 2.267

6.  Young Adults' Risk Perceptions of Various Tobacco Products Relative to Cigarettes: Results From the National Young Adult Health Survey.

Authors:  Olivia A Wackowski; Cristine D Delnevo
Journal:  Health Educ Behav       Date:  2015-08-24

7.  Impact of Caregiving During Emerging Adulthood on Frequent Mental Distress, Smoking, and Drinking Behaviors: United States, 2015-2017.

Authors:  Deborah L Grenard; Esteban J Valencia; Jennifer A Brown; Rachel L Winer; Alyson J Littman
Journal:  Am J Public Health       Date:  2020-10-15       Impact factor: 9.308

8.  The influence of menthol, e-cigarettes and other tobacco products on young adults' self-reported changes in past year smoking.

Authors:  Cristine D Delnevo; Andrea C Villanti; Olivia A Wackowski; Daniel A Gundersen; Daniel P Giovenco
Journal:  Tob Control       Date:  2015-08-04       Impact factor: 7.552

9.  Monitoring HIV Testing in the United States: Consequences of Methodology Changes to National Surveys.

Authors:  Michelle M Van Handel; Bernard M Branson
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

10.  Young adults' behavioral intentions surrounding a potential menthol cigarette ban.

Authors:  Olivia A Wackowski; Michelle T Bover Manderski; Cristine D Delnevo
Journal:  Nicotine Tob Res       Date:  2014-02-10       Impact factor: 4.244

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.