Literature DB >> 28096132

Innovative Techniques for Evaluating Behavioral Nutrition Interventions.

Rachel E Scherr1,2, Kevin D Laugero1,3, Dan J Graham4, Brian T Cunningham5,6, Lisa Jahns7, Karina R Lora8, Marla Reicks9, Amy R Mobley10.   

Abstract

Assessing outcomes and the impact from behavioral nutrition interventions has remained challenging because of the lack of methods available beyond traditional nutrition assessment tools and techniques. With the current high global obesity and related chronic disease rates, novel methods to evaluate the impact of behavioral nutrition-based interventions are much needed. The objective of this narrative review is to describe and review the current status of knowledge as it relates to 4 different innovative methods or tools to assess behavioral nutrition interventions. Methods reviewed include 1) the assessment of stress and stress responsiveness to enhance the evaluation of nutrition interventions, 2) eye-tracking technology in nutritional interventions, 3) smartphone biosensors to assess nutrition and health-related outcomes, and 4) skin carotenoid measurements to assess fruit and vegetable intake. Specifically, the novel use of functional magnetic resonance imaging, by characterizing the brain's responsiveness to an intervention, can help researchers develop programs with greater efficacy. Similarly, if eye-tracking technology can enable researchers to get a better sense as to how participants view materials, the materials may be better tailored to create an optimal impact. The latter 2 techniques reviewed, smartphone biosensors and methods to detect skin carotenoids, can provide the research community with portable, effective, nonbiased ways to assess dietary intake and quality and more in the field. The information gained from using these types of methodologies can improve the efficacy and assessment of behavior-based nutrition interventions.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  biosensors; brain responsiveness; community nutrition interventions; eye-tracking; nutrition assessment; program evaluation; public health; reflective spectroscopy; resonance Raman spectroscopy; smartphone

Mesh:

Substances:

Year:  2017        PMID: 28096132      PMCID: PMC5227983          DOI: 10.3945/an.116.013862

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  88 in total

1.  Combined Goal Management Training and Mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers.

Authors:  José P Alfonso; Alfonso Caracuel; Luis C Delgado-Pastor; Antonio Verdejo-García
Journal:  Drug Alcohol Depend       Date:  2011-02-01       Impact factor: 4.492

Review 2.  How accurate is self-reported dietary energy intake?

Authors:  D A Schoeller
Journal:  Nutr Rev       Date:  1990-10       Impact factor: 7.110

3.  Attentional processing of food pictures in individuals with anorexia nervosa--an eye-tracking study.

Authors:  Katrin E Giel; Hans-Christoph Friederich; Martin Teufel; Martin Hautzinger; Paul Enck; Stephan Zipfel
Journal:  Biol Psychiatry       Date:  2010-12-03       Impact factor: 13.382

Review 4.  Genetic variations involved in interindividual variability in carotenoid status.

Authors:  Patrick Borel
Journal:  Mol Nutr Food Res       Date:  2011-09-29       Impact factor: 5.914

Review 5.  Mode of questionnaire administration can have serious effects on data quality.

Authors:  Ann Bowling
Journal:  J Public Health (Oxf)       Date:  2005-05-03       Impact factor: 2.341

6.  Resonance Raman detection of carotenoid antioxidants in living human tissues.

Authors:  I V Ermakov; M R Ermakova; R W McClane; W Gellermann
Journal:  Opt Lett       Date:  2001-08-01       Impact factor: 3.776

7.  The pupil as a measure of emotional arousal and autonomic activation.

Authors:  Margaret M Bradley; Laura Miccoli; Miguel A Escrig; Peter J Lang
Journal:  Psychophysiology       Date:  2008-02-11       Impact factor: 4.016

8.  Chronic stress exposure may affect the brain's response to high calorie food cues and predispose to obesogenic eating habits.

Authors:  Matthew S Tryon; Cameron S Carter; Rashel Decant; Kevin D Laugero
Journal:  Physiol Behav       Date:  2013-08-16

9.  Noninvasive assessment of dermal carotenoids as a biomarker of fruit and vegetable intake.

Authors:  Susan T Mayne; Brenda Cartmel; Stephanie Scarmo; Haiqun Lin; David J Leffell; Erin Welch; Igor Ermakov; Prakash Bhosale; Paul S Bernstein; Werner Gellermann
Journal:  Am J Clin Nutr       Date:  2010-08-04       Impact factor: 7.045

10.  Decision-making in obesity: a study using the Gambling Task.

Authors:  R Pignatti; L Bertella; G Albani; A Mauro; E Molinari; C Semenza
Journal:  Eat Weight Disord       Date:  2006-09       Impact factor: 4.652

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  14 in total

1.  Spectrometric Smartphone-Based System for Ibuprofen Quantification in Commercial Dosage Tablets.

Authors:  Miguel Ángel Aguirre; Kenneth D Long; Brian T Cunningham
Journal:  J Pharm Sci       Date:  2019-03-15       Impact factor: 3.534

2.  Strengthening adolescents' connection to their traditional food system improves diet quality in remote Alaska Native communities: results from the Neqa Elicarvigmun Pilot Study.

Authors:  Andrea Bersamin; Betty T Izumi; Jennifer Nu; Diane M O'brien; Mallie Paschall
Journal:  Transl Behav Med       Date:  2019-10-01       Impact factor: 3.046

3.  Criterion-Related Validity of Spectroscopy-Based Skin Carotenoid Measurements as a Proxy for Fruit and Vegetable Intake: A Systematic Review.

Authors:  Marcela D Radtke; Stephanie Jilcott Pitts; Lisa Jahns; Gina C Firnhaber; Brittany M Loofbourrow; April Zeng; Rachel E Scherr
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

4.  Point-of-use detection of ascorbic acid using a spectrometric smartphone-based system.

Authors:  Miguel Ángel Aguirre; Kenneth D Long; Antonio Canals; Brian T Cunningham
Journal:  Food Chem       Date:  2018-08-09       Impact factor: 7.514

5.  Pilot Study of a Farm-to-Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) Intervention Promoting Vegetable Consumption.

Authors:  Jennifer Di Noia; Dorothy Monica; Alla Sikorskii; Julia Nelson
Journal:  J Acad Nutr Diet       Date:  2021-01-22       Impact factor: 5.234

6.  Factors Associated with Identification and Consumption of Whole-Grain Foods in a Low-Income Population.

Authors:  Molika Chea; Amy R Mobley
Journal:  Curr Dev Nutr       Date:  2019-05-16

7.  Prominent positioning and food swaps are effective interventions to reduce the saturated fat content of the shopping basket in an experimental online supermarket: a randomized controlled trial.

Authors:  Dimitrios A Koutoukidis; Susan A Jebb; José M Ordóñez-Mena; Michaela Noreik; Melina Tsiountsioura; Sarah Kennedy; Sarah Payne-Riches; Paul Aveyard; Carmen Piernas
Journal:  Int J Behav Nutr Phys Act       Date:  2019-06-07       Impact factor: 6.457

Review 8.  Modern India and the Tale of Twin Nutrient Deficiency-Calcium and Vitamin D-Nutrition Trend Data 50 Years-Retrospect, Introspect, and Prospect.

Authors:  Chittari Venkata Harinarayan; Harinarayan Akhila
Journal:  Front Endocrinol (Lausanne)       Date:  2019-08-09       Impact factor: 5.555

9.  Using the Veggie Meter in Elementary Schools to Objectively Measure Fruit and Vegetable Intake: A Pilot Study.

Authors:  Sarah Martinelli; Francesco Acciai; Natasha Tasevska; Punam Ohri-Vachaspati
Journal:  Methods Protoc       Date:  2021-05-12

10.  Process Evaluation of a Farm-to-WIC Intervention.

Authors:  Jennifer Di Noia; Dorothy Monica; Alla Sikorskii
Journal:  J Acad Nutr Diet       Date:  2021-06-16       Impact factor: 5.234

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