Literature DB >> 31992659

PhenX: Host: Biobehavioral measures for tobacco regulatory research.

Gary A Giovino1, Gary E Swan2, Ben Blount3, Stephanie O'Malley4, Darigg C Brown5, Tabitha P Hendershot5.   

Abstract

A working group (WG) of experts from diverse fields related to nicotine and tobacco addiction was constituted to identify constructs and measures for the PhenX (Phenotypes and eXposures) Tobacco Regulatory Research (TRR) Host: Biobehavioral Collection with potential relevance to users of both conventional and newer tobacco products. This paper describes the methods and results the WG used to identify, select, approve and place measures in the PhenX TRR Collection. The WG recognised 13 constructs of importance to guide their categorisation of measures already in the PhenX Toolkit ('complementary measures') and to identify novel or improved measures of special relevance to tobacco regulatory science. In addition to the 22 complementary measures of relevance to tobacco use already in the PhenX Toolkit, the WG identified and recommended nine additional Host: Biobehavioral measures characterising the use, exposure and health outcomes of tobacco products for application to TRR. Of these, five were self-administered or interviewer-administered measures: amount, type and frequency of recent tobacco use; flavor preference in e-cigarette users (adult and youth); pregnancy status and tobacco use; pregnancy status-mother and baby health and withdrawal from tobacco use. The remaining four measures were laboratory-based: cotinine in serum, expired carbon monoxide, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in urine and cue reactivity. Although a number of validated tools are now available in the Host: Biobehavioral Collection, several gaps were identified, including a need to develop and test the identified measures in adolescent samples and to develop or identify measures of nicotine dependence, tolerance and withdrawal associated with newer non-combusted tobacco products. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  addiction; biobheavioral; cotinine; flavour; pregnancy; smoking topography

Mesh:

Substances:

Year:  2020        PMID: 31992659      PMCID: PMC8127015          DOI: 10.1136/tobaccocontrol-2019-054975

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  48 in total

1.  Swedish Match Company, Swedish snus and public health: a harm reduction experiment in progress?

Authors:  J E Henningfield; K O Fagerstrom
Journal:  Tob Control       Date:  2001-09       Impact factor: 7.552

2.  Validation of the timeline follow-back in the assessment of adolescent smoking.

Authors:  Johanna M Lewis-Esquerre; Suzanne M Colby; Tracy O'Leary Tevyaw; Cheryl A Eaton; Christopher W Kahler; Peter M Monti
Journal:  Drug Alcohol Depend       Date:  2005-07       Impact factor: 4.492

3.  Dependence levels in users of electronic cigarettes, nicotine gums and tobacco cigarettes.

Authors:  Jean-François Etter; Thomas Eissenberg
Journal:  Drug Alcohol Depend       Date:  2014-12-18       Impact factor: 4.492

4.  Effects of abstinence in adolescent tobacco smokers: withdrawal symptoms, urge, affect, and cue reactivity.

Authors:  L Cinnamon Bidwell; Adam M Leventhal; Jennifer W Tidey; Linda Brazil; Raymond S Niaura; Suzanne M Colby
Journal:  Nicotine Tob Res       Date:  2012-09-04       Impact factor: 4.244

5.  Host-agent-vector-environment measures for electronic cigarette research used in NIH grants.

Authors:  Mary L Garcia-Cazarin; Rachel J Mandal; Rachel Grana; Kay L Wanke; Helen I Meissner
Journal:  Tob Control       Date:  2018-01-13       Impact factor: 7.552

6.  Effects of cue exposure and deprivation on cognitive resources in smokers.

Authors:  M A Sayette; M R Hufford
Journal:  J Abnorm Psychol       Date:  1994-11

7.  Development of the PROMIS nicotine dependence item banks.

Authors:  William G Shadel; Maria Orlando Edelen; Joan S Tucker; Brian D Stucky; Mark Hansen; Li Cai
Journal:  Nicotine Tob Res       Date:  2014-09       Impact factor: 4.244

8.  Relationship between frequency and intensity of cigarette smoking and TTFC/C among students of the GYTS in select countries, 2007-2009.

Authors:  Eugene Lam; Gary A Giovino; Mikyong Shin; Kyung A Lee; Italia Rolle; Samira Asma
Journal:  J Sch Health       Date:  2014-09       Impact factor: 2.118

Review 9.  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

10.  Nicotine metabolism and intake in black and white smokers.

Authors:  E J Pérez-Stable; B Herrera; P Jacob; N L Benowitz
Journal:  JAMA       Date:  1998-07-08       Impact factor: 56.272

View more
  1 in total

1.  Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use: A Longitudinal Study of Health Disparities.

Authors:  Eleni L Tolma; Sara K Vesely; Lindsay Boeckman; Roy F Oman; Cheryl B Aspy
Journal:  Int J Environ Res Public Health       Date:  2022-09-28       Impact factor: 4.614

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.