Use of technology in children's dietary assessment
Background: Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescent...
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Published in | European journal of clinical nutrition Vol. 63; no. Suppl 1; pp. S50 - S57 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.02.2009
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Abstract | Background: Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake. Subjects/Methods: We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods. Results: Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record. Conclusions: There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. |
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AbstractList | Background:
Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake.
Subjects/Methods:
We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods.
Results:
Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record.
Conclusions:
There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. Background: Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake. Subjects/Methods: We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods. Results: Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record. Conclusions: There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. doi:10.1038/ejcn.2008.65 Keywords: dietary assessment; food records; digital images Background:Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake. Subjects/Methods:We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods. Results:Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record. Conclusions:There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. [PUBLICATION ABSTRACT] Subjects/Methods: We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods. doi:10.1038/ejcn.2008.65 Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake. We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods. Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record. There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. Background:Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake.Subjects/Methods:We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods.Results:Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record.Conclusions:There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. Information on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake.BACKGROUNDInformation on dietary intake provides some of the most valuable insights for mounting intervention programmes for the prevention of chronic diseases. With the growing concern about adolescent overweight, the need to accurately measure diet becomes imperative. Assessment among adolescents is problematic as this group has irregular eating patterns and they have less enthusiasm for recording food intake.We used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods.SUBJECTS/METHODSWe used qualitative and quantitative techniques among adolescents to assess their preferences for dietary assessment methods.Dietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record.RESULTSDietary assessment methods using technology, for example, a personal digital assistant (PDA) or a disposable camera, were preferred over the pen and paper food record.There was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described.CONCLUSIONSThere was a strong preference for using methods that incorporate technology such as capturing images of food. This suggests that for adolescents, dietary methods that incorporate technology may improve cooperation and accuracy. Current computing technology includes higher resolution images, improved memory capacity and faster processors that allow small mobile devices to process information not previously possible. Our goal is to develop, implement and evaluate a mobile device (for example, PDA, mobile phone) food record that will translate to an accurate account of daily food and nutrient intake among adolescents. This mobile computing device will include digital images, a nutrient database and image analysis for identification and quantification of food consumption. Mobile computing devices provide a unique vehicle for collecting dietary information that reduces the burden on record keepers. Images of food can be marked with a variety of input methods that link the item for image processing and analysis to estimate the amount of food. Images before and after the foods are eaten can estimate the amount of food consumed. The initial stages and potential of this project will be described. |
Audience | Professional Academic |
Author | Boushey, C.J Wright, J Ebert, D.S Kerr, D.A Delp, E.J Lutes, K.D |
AuthorAffiliation | 1 Department of Foods and Nutrition, Purdue University, West Lafayette, IN, USA 4 Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA 3 School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA 2 School of Public Health, Curtin Institute of Technology, Bentley, WA, Australia |
AuthorAffiliation_xml | – name: 4 Department of Computer and Information Technology, Purdue University, West Lafayette, IN, USA – name: 1 Department of Foods and Nutrition, Purdue University, West Lafayette, IN, USA – name: 2 School of Public Health, Curtin Institute of Technology, Bentley, WA, Australia – name: 3 School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA |
Author_xml | – sequence: 1 fullname: Boushey, C.J – sequence: 2 fullname: Kerr, D.A – sequence: 3 fullname: Wright, J – sequence: 4 fullname: Lutes, K.D – sequence: 5 fullname: Ebert, D.S – sequence: 6 fullname: Delp, E.J |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/19190645$$D View this record in MEDLINE/PubMed |
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Copyright | Macmillan Publishers Limited 2009 COPYRIGHT 2009 Nature Publishing Group Copyright Nature Publishing Group Feb 2009 Macmillan Publishers Limited 2009. 2009 Macmillan Publishers Limited All rights reserved 2009 |
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References | Kikunaga, Tin, Ishibashi, Wang, Kira (CR8) 2007; 53 Livingstone, Black (CR11) 2003; 133 CR5 Goodwin, Brule, Junkins, Dubois, Beer-Borst (CR7) 2001; 101 Larsson, Westerterp, Johansson (CR10) 2002; 75 CR16 Zhu, Mariappan, Boushey, Kerr, Lutes, Ebert (CR17) 2008; 6814 Kretsch, Blanton, Baer, Staples, Horn, Keim (CR9) 2004; 104 Livingstone, Robson, Wallace (CR12) 2004; 92 Bandini, Must, Cyr, Anderson, Spadano, Dietz (CR1) 2003; 78 Black, Prentice, Goldberg, Jebb, Bingham, Livingstone (CR2) 1993; 93 Champagne, Baker, DeLany, Harsha, Bray (CR6) 1998; 98 Rockett, Berkey, Colditz (CR14) 2003; 6 McPherson, Hoelscher, Alexander, Scanlon, Serdula (CR13) 2000; 31 Wang, Kogashiwa, Ohta, Kira (CR15) 2002; 48 Braun, Martin, Kern, McCabe, Peacock, Jiang (CR3) 2006; 84 Braun, Palacios, Wigertz, Jackman, Bryant, McCabe (CR4) 2007; 85 cr-split#-BFejcn200865_CR16.2 F Zhu (BFejcn200865_CR17) 2008; 6814 S Kikunaga (BFejcn200865_CR8) 2007; 53 M Braun (BFejcn200865_CR3) 2006; 84 MBE Livingstone (BFejcn200865_CR12) 2004; 92 RS McPherson (BFejcn200865_CR13) 2000; 31 cr-split#-BFejcn200865_CR16.1 RA Goodwin (BFejcn200865_CR7) 2001; 101 MBE Livingstone (BFejcn200865_CR11) 2003; 133 DH Wang (BFejcn200865_CR15) 2002; 48 AE Black (BFejcn200865_CR2) 1993; 93 BFejcn200865_CR5 M Braun (BFejcn200865_CR4) 2007; 85 CM Champagne (BFejcn200865_CR6) 1998; 98 HR Rockett (BFejcn200865_CR14) 2003; 6 MJ Kretsch (BFejcn200865_CR9) 2004; 104 CL Larsson (BFejcn200865_CR10) 2002; 75 LG Bandini (BFejcn200865_CR1) 2003; 78 |
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Title | Use of technology in children's dietary assessment |
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