Literature DB >> 22914603

The Design of a Mobile Portion Size Estimation Interface for a Low Literacy Population.

Beenish Chaudry1, Kay Connelly, Katie A Siek, Janet L Welch.   

Abstract

Being aware of one's portion sizes is a key component of maintaining a healthy diet, however, it is difficult for individuals especially low literacy populations to estimate their consumption. Nutritional monitoring applications can help but most of them are designed for people with high literacy and numeracy skills. In this paper, we designed and evaluated six portion size estimation interfaces through a Wizard of Oz based experiment using low-fidelity prototypes with ten varying literacy individuals. The interfaces were designed based on the cognitive strategies adults use for reporting portion sizes in diet recall studies. Participants made correct estimates with interfaces designed for liquid and amorphous foods, but had difficulties with those designed for solid foods. Based on these findings, we provide recommendations for designing accurate and low literacy-accessible portion size estimating mobile interfaces.

Entities:  

Year:  2011        PMID: 22914603      PMCID: PMC3423082          DOI: 10.4108/icst.pervasivehealth.2011.246113

Source DB:  PubMed          Journal:  Int Conf Pervasive Comput Technol Healthc        ISSN: 2153-1633


  15 in total

1.  The development and testing of a food portion photograph book for use in an African population.

Authors:  C. S. Venter; U. E. MacIntyre; H. H. Vorster
Journal:  J Hum Nutr Diet       Date:  2000-06       Impact factor: 3.089

2.  Dice, golf balls, and CDs: assumptions about portion size measurement aids.

Authors:  Geoff D C Ball; Alinda Friedman
Journal:  Can J Diet Pract Res       Date:  2010       Impact factor: 0.940

Review 3.  Validity of portion-size measurement aids: a review.

Authors:  Y S Cypel; P M Guenther; G J Petot
Journal:  J Am Diet Assoc       Date:  1997-03

4.  Patient understanding of food labels: the role of literacy and numeracy.

Authors:  Russell L Rothman; Ryan Housam; Hilary Weiss; Dianne Davis; Rebecca Gregory; Tebeb Gebretsadik; Ayumi Shintani; Tom A Elasy
Journal:  Am J Prev Med       Date:  2006-11       Impact factor: 5.043

5.  Cognitive strategies for reporting portion sizes using dietary recall procedures.

Authors:  E Chambers; S L Godwin; F A Vecchio
Journal:  J Am Diet Assoc       Date:  2000-08

6.  Using graduated food models in taking dietary histories.

Authors:  M C Moore; B C Judlin; P M Kennemur
Journal:  J Am Diet Assoc       Date:  1967-11

7.  The peritoneal dialysis experience: insights from long-term patients.

Authors:  Roberta Braun Curtin; H Keith Johnson; Dorian Schatell
Journal:  Nephrol Nurs J       Date:  2004 Nov-Dec       Impact factor: 0.959

8.  The effect of practical portion size measurement aids on the accuracy of portion size estimates made by young adults.

Authors:  C Byrd-Bredbenner; J Schwartz
Journal:  J Hum Nutr Diet       Date:  2004-08       Impact factor: 3.089

9.  Literacy, numeracy, and portion-size estimation skills.

Authors:  Mary Margaret Huizinga; Adam J Carlisle; Kerri L Cavanaugh; Dianne L Davis; Rebecca P Gregory; David G Schlundt; Russell L Rothman
Journal:  Am J Prev Med       Date:  2009-04       Impact factor: 5.043

10.  Accuracy in the estimation of food servings against the portions in food photographs.

Authors:  M-L Ovaskainen; M Paturi; H Reinivuo; M-L Hannila; H Sinkko; J Lehtisalo; O Pynnönen-Polari; S Männistö
Journal:  Eur J Clin Nutr       Date:  2007-04-18       Impact factor: 4.016

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  6 in total

1.  An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability.

Authors:  Kay Connelly; Katie A Siek; Beenish Chaudry; Josette Jones; Kim Astroth; Janet L Welch
Journal:  J Am Med Inform Assoc       Date:  2012-05-12       Impact factor: 4.497

2.  Formative evaluation of a mobile liquid portion size estimation interface for people with varying literacy skills.

Authors:  Beenish Moalla Chaudry; Kay Connelly; Katie A Siek; Janet L Welch
Journal:  J Ambient Intell Humaniz Comput       Date:  2013-12-01

3.  A Comparison of Food Portion Size Estimation by Older Adults, Young Adults and Nutritionists.

Authors:  C M Timon; S E Cooper; M E Barker; A J Astell; T Adlam; F Hwang; E A Williams
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

4.  Comparison of the Diet ID Platform to the Automated Self-administered 24-hour (ASA24) Dietary Assessment Tool for Assessment of Dietary Intake.

Authors:  Gabrielle Turner-McGrievy; Brent Hutto; John A Bernhart; Mary J Wilson
Journal:  J Am Nutr Assoc       Date:  2021-03-11

5.  Feasibility of Reviewing Digital Food Images for Dietary Assessment among Nutrition Professionals.

Authors:  Ayob Ainaa Fatehah; Bee Koon Poh; Safii Nik Shanita; Jyh Eiin Wong
Journal:  Nutrients       Date:  2018-07-27       Impact factor: 5.717

6.  Evaluation of mHealth Apps for Diverse, Low-Income Patient Populations: Framework Development and Application Study.

Authors:  Shreya Sharma; Katherine Gergen Barnett; John Jack Maypole; Rebecca Grochow Mishuris
Journal:  JMIR Form Res       Date:  2022-02-11
  6 in total

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