Literature DB >> 30135037

Advances and Controversies in Diet and Physical Activity Measurement in Youth.

Donna Spruijt-Metz1, Cheng K Fred Wen2, Brooke M Bell2, Stephen Intille3, Jeannie S Huang4, Tom Baranowski5.   

Abstract

Technological advancements in the past decades have improved dietary intake and physical activity measurements. This report reviews current developments in dietary intake and physical activity assessment in youth. Dietary intake assessment has relied predominantly on self-report or image-based methods to measure key aspects of dietary intake (e.g., food types, portion size, eating occasion), which are prone to notable methodologic (e.g., recall bias) and logistic (e.g., participant and researcher burden) challenges. Although there have been improvements in automatic eating detection, artificial intelligence, and sensor-based technologies, participant input is often needed to verify food categories and portions. Current physical activity assessment methods, including self-report, direct observation, and wearable devices, provide researchers with reliable estimations for energy expenditure and bodily movement. Recent developments in algorithms that incorporate signals from multiple sensors and technology-augmented self-reporting methods have shown preliminary efficacy in measuring specific types of activity patterns and relevant contextual information. However, challenges in detecting resistance (e.g., in resistance training, weight lifting), prolonged physical activity monitoring, and algorithm (non)equivalence remain to be addressed. In summary, although dietary intake assessment methods have yet to achieve the same validity and reliability as physical activity measurement, recent developments in wearable technologies in both arenas have the potential to improve current assessment methods. THEME INFORMATION: This article is part of a theme issue entitled Innovative Tools for Assessing Diet and Physical Activity for Health Promotion, which is sponsored by the North American branch of the International Life Sciences Institute.
Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30135037      PMCID: PMC6151143          DOI: 10.1016/j.amepre.2018.06.012

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  102 in total

1.  Commentary: A social-ecological perspective on obesity among Latinos.

Authors:  Joel E Williams; Annah Kabukuru; Rachel Mayo; Sarah F Griffin
Journal:  Ethn Dis       Date:  2011       Impact factor: 1.847

2.  The Automated Self-Administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.

Authors:  Amy F Subar; Sharon I Kirkpatrick; Beth Mittl; Thea Palmer Zimmerman; Frances E Thompson; Christopher Bingley; Gordon Willis; Noemi G Islam; Tom Baranowski; Suzanne McNutt; Nancy Potischman
Journal:  J Acad Nutr Diet       Date:  2012-06-15       Impact factor: 4.910

3.  Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field.

Authors:  Patty Freedson; Heather R Bowles; Richard Troiano; William Haskell
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

4.  Validity of energy intake estimated by digital photography plus recall in overweight and obese young adults.

Authors:  Lauren T Ptomey; Erik A Willis; Jeffery J Honas; Matthew S Mayo; Richard A Washburn; Stephen D Herrmann; Debra K Sullivan; Joseph E Donnelly
Journal:  J Acad Nutr Diet       Date:  2015-06-26       Impact factor: 4.910

5.  The Automated Self-Administered 24-Hour Dietary Recall for Children, 2012 Version, for Youth Aged 9 to 11 Years: A Validation Study.

Authors:  Cassandra S Diep; Melanie Hingle; Tzu-An Chen; Hafza R Dadabhoy; Alicia Beltran; Janice Baranowski; Amy F Subar; Tom Baranowski
Journal:  J Acad Nutr Diet       Date:  2015-04-14       Impact factor: 4.910

6.  Investigating within-day and longitudinal effects of maternal stress on children's physical activity, dietary intake, and body composition: Protocol for the MATCH study.

Authors:  Genevieve F Dunton; Yue Liao; Eldin Dzubur; Adam M Leventhal; Jimi Huh; Tara Gruenewald; Gayla Margolin; Carol Koprowski; Eleanor Tate; Stephen Intille
Journal:  Contemp Clin Trials       Date:  2015-05-15       Impact factor: 2.226

7.  Accuracy of food portion size estimation from digital pictures acquired by a chest-worn camera.

Authors:  Wenyan Jia; Hsin-Chen Chen; Yaofeng Yue; Zhaoxin Li; John Fernstrom; Yicheng Bai; Chengliu Li; Mingui Sun
Journal:  Public Health Nutr       Date:  2013-12-04       Impact factor: 4.022

8.  Measurement of food volume based on single 2-D image without conventional camera calibration.

Authors:  Yaofeng Yue; Wenyan Jia; Mingui Sun
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

Review 9.  Recommendations to improve the accuracy of estimates of physical activity derived from self report.

Authors:  Barbara E Ainsworth; Carl J Caspersen; Charles E Matthews; Louise C Mâsse; Tom Baranowski; Weimo Zhu
Journal:  J Phys Act Health       Date:  2012-01

10.  A Mobile Phone Based Method to Assess Energy and Food Intake in Young Children: A Validation Study against the Doubly Labelled Water Method and 24 h Dietary Recalls.

Authors:  Christine Delisle Nyström; Elisabet Forsum; Hanna Henriksson; Ylva Trolle-Lagerros; Christel Larsson; Ralph Maddison; Toomas Timpka; Marie Löf
Journal:  Nutrients       Date:  2016-01-15       Impact factor: 5.717

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  10 in total

1.  Public Health Procedures, Alone, Will Not Prevent Child Obesity.

Authors:  Tom Baranowski; Kathleen J Motil; Jennette P Moreno
Journal:  Child Obes       Date:  2019-09       Impact factor: 2.992

2.  Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices.

Authors:  Zhaoxing Pan; Dan Forjan; Tyson Marden; Jonathan Padia; Tonmoy Ghosh; Delwar Hossain; J Graham Thomas; Megan A McCrory; Edward Sazonov; Janine A Higgins
Journal:  Front Nutr       Date:  2022-06-22

Review 3.  Nutrition Education and Dietary Behavior Change Games: A Scoping Review.

Authors:  Tom Baranowski; Courtney Ryan; Andrés Hoyos-Cespedes; Amy Shirong Lu
Journal:  Games Health J       Date:  2018-10-19

4.  Comparison of energy intake assessed by image-assisted food records to doubly labelled water in adolescents with intellectual and developmental disabilities: a feasibility study.

Authors:  L T Ptomey; E A Willis; K Reitmeier; M L Dreyer Gillette; J R Sherman; D K Sullivan
Journal:  J Intellect Disabil Res       Date:  2021-01-14

5.  Associations Between Parent Self-Reported and Accelerometer-Measured Physical Activity and Sedentary Time in Children: Ecological Momentary Assessment Study.

Authors:  Junia N de Brito; Katie A Loth; Allan Tate; Jerica M Berge
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-19       Impact factor: 4.773

6.  Can Wearable Cameras be Used to Validate School-Aged Children's Lifestyle Behaviours?

Authors:  Bethan Everson; Kelly A Mackintosh; Melitta A McNarry; Charlotte Todd; Gareth Stratton
Journal:  Children (Basel)       Date:  2019-02-01

7.  The effect of mild sleep deprivation on diet and eating behaviour in children: protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial.

Authors:  Aimee L Ward; Barbara C Galland; Jillian J Haszard; Kim Meredith-Jones; Silke Morrison; Deborah R McIntosh; Rosie Jackson; Dean W Beebe; Louise Fangupo; Rosalina Richards; Lisa Te Morenga; Claire Smith; Dawn E Elder; Rachael W Taylor
Journal:  BMC Public Health       Date:  2019-10-22       Impact factor: 3.295

8.  Measurement challenges for childhood obesity research within and between Latin America and the United States.

Authors:  David Berrigan; S Sonia Arteaga; Uriyoán Colón-Ramos; Lisa G Rosas; Rafael Monge-Rojas; Teresia M O'Connor; Rafael Pérez-Escamilla; Elizabeth F S Roberts; Brisa Sanchez; Martha Maria Téllez-Rojo; Susan Vorkoper
Journal:  Obes Rev       Date:  2021-05-04       Impact factor: 10.867

9.  Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study.

Authors:  Brooke Marie Bell; Ridwan Alam; Abu Sayeed Mondol; Meiyi Ma; Ifat Afrin Emi; Sarah Masud Preum; Kayla de la Haye; John A Stankovic; John Lach; Donna Spruijt-Metz
Journal:  JMIR Mhealth Uhealth       Date:  2022-02-18       Impact factor: 4.947

Review 10.  Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review.

Authors:  Brooke M Bell; Ridwan Alam; Nabil Alshurafa; Edison Thomaz; Abu S Mondol; Kayla de la Haye; John A Stankovic; John Lach; Donna Spruijt-Metz
Journal:  NPJ Digit Med       Date:  2020-03-13
  10 in total

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