Literature DB >> 21251941

Project TwEATs. A feasibility study testing the use of automated text messaging to monitor appetite ratings in a free-living population.

Susan M Schembre1, Jessica Yuen.   

Abstract

There are no standardized methods for monitoring appetite in free-living populations. Fifteen participants tested a computer-automated text-messaging system designed to track hunger ratings over seven days. Participants were sent text-messages (SMS) hourly and instructed to reply during waking hours with their current hunger rating. Of 168 SMS, 0.6-7.1% were undelivered, varying by mobile service provider. On average 12 SMS responses were received daily with minor variations by observation day or day of the week. Compliance was over 74%, and 93% of the ratings were received within 30-min. Automated text-messaging is a feasible method to monitor appetite ratings in this population.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID： 21251941      PMCID： PMC3055950          DOI： 10.1016/j.appet.2011.01.014

Source DB:  PubMed          Journal:  Appetite        ISSN： 0195-6663            Impact factor:   3.868


  19 in total

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  13 in total

1.  Using pre-prandial blood glucose to assess eating in the absence of hunger in free-living individuals.

Authors:  Susan M Schembre; Yue Liao; Jimi Huh; Stefan Keller
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2.  The time-varying association between perceived stress and hunger within and between days.

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Journal:  Appetite       Date:  2015-02-07       Impact factor: 3.868

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4.  Increasing the response rate of text messaging data collection: a delayed randomized controlled trial.

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5.  Comparison of text messaging and paper-and-pencil for ecological momentary assessment of food craving and intake.

Authors:  Elliot T Berkman; Nicole R Giuliani; Alicia K Pruitt
Journal:  Appetite       Date:  2014-06-12       Impact factor: 3.868

6.  Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages.

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7.  Text messaging data collection for monitoring an infant feeding intervention program in rural China: feasibility study.

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8.  mHealth Series: Factors influencing sample size calculations for mHealth-based studies - A mixed methods study in rural China.

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9.  mHealth Series: mHealth project in Zhao County, rural China - Description of objectives, field site and methods.

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