Literature DB >> 19751077

Electronic recording, self-report, and bias in measuring cigarette consumption.

John P Pierce.   

Abstract

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Year:  2009        PMID： 19751077     DOI： 10.1037/a0016188

Source DB:  PubMed          Journal:  Health Psychol        ISSN： 0278-6133            Impact factor:   4.267


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  4 in total

1.  Neural activity during health messaging predicts reductions in smoking above and beyond self-report.

Authors:  Emily B Falk; Elliot T Berkman; Danielle Whalen; Matthew D Lieberman
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

2.  Using SMS text messaging to assess moderators of smoking reduction: Validating a new tool for ecological measurement of health behaviors.

Authors:  Elliot T Berkman; Janna Dickenson; Emily B Falk; Matthew D Lieberman
Journal:  Health Psychol       Date:  2011-03       Impact factor: 4.267

3.  Neural response to pictorial health warning labels can predict smoking behavioral change.

Authors:  Philip J Riddle; Roger D Newman-Norlund; Jessica Baer; James F Thrasher
Journal:  Soc Cogn Affect Neurosci       Date:  2016-07-12       Impact factor: 3.436

4.  The Importance of Filter Collection for Accurate Measurement of Cigarette Smoking.

Authors:  Megan L Saddleson; E Paul Wileyto; Rahul Darwar; Susan Ware; Andrew A Strasser
Journal:  Tob Regul Sci       Date:  2017-07
  4 in total

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