Electronic food records among middle-aged and older people: A comparison of self-reported and dietitian-assisted information
- PMID: 32037628
- DOI: 10.1111/1747-0080.12606
Electronic food records among middle-aged and older people: A comparison of self-reported and dietitian-assisted information
Abstract
Aim: Nutrition-based applications ("apps") offer enormous research potential, however evidence of their use and acceptability among older adults is limited. We compared self-reported and dietitian-adjusted dietary intake records among adults aged 55 to 75 years using the Research Food Diary (RFD) app.
Methods: Participants were recruited from the 45 and Up Study and completed a 3-day food record using the RFD. A follow-up dietetic telephone interview was performed to confirm the electronic dietary data. Independent of these interviews, a set of adjustments based on dietetic skills, nutritional database knowledge, food composition and dietary assessment was established to resolve probable reporting errors. The "adjusted" and "dietitian-assisted" records were compared to self-reported records for nutrient intakes and serves of The Five Food Groups using one-way repeated measures analysis of variance.
Results: Sixty-two participants were recruited, with 48 using the RFD app which included eight records without any identified errors. Reporting errors contained in the raw self-reported records included: food items with missing/implausible quantities or insufficient descriptions to allow automatic coding. After removal of unusable records, 44 records were analysed. Differences were found between the self-reported and adjusted records for protein, calcium, vitamin B12 , zinc and dairy food serves (all P < .001; differences up to 8%). No significant differences were found between the adjusted and dietitian-assisted measures.
Conclusions: Similarities between adjusted and dietitian-assisted records suggest carefully applied dietetic assumptions are likely to improve accuracy of self-reported intake data where dietitian interviews are not possible. We provide four key recommendations to guide this process.
Keywords: diet record; mobile applications; nutrition assessment; smartphone.
© 2020 Dietitians Association of Australia.
References
REFERENCES
-
- Eldridge AL, Piernas C, Illner AK, et al. Evaluation of new technology-based tools for dietary intake assessment-an ILSI Europe dietary intake and exposure task force evaluation. Nutrients. 2018;11:55-80.
-
- Amoutzopoulos B, Steer T, Roberts C, et al. Traditional methods v. new technologies-dilemmas for dietary assessment in large-scale nutrition surveys and studies: a report following an international panel discussion at the 9th International Conference on Diet and Activity Methods (ICDAM9), Brisbane, September 3, 2015. J Nutr Sci. 2018;7:e11.
-
- Archundia Herrera MC, Chan CB. Narrative review of new methods for assessing food and energy intake. Nutrients. 2018;10:1064-1083.
-
- Cade JE. Measuring diet in the 21st century: use of new technologies. Proc Nutr Soc. 2017;76:276-282.
-
- Deloitte Australia. Mobile Consumer Survey; 2018. https://www2.deloitte.com/au/mobile-consumer-survey. Accessed October 1, 2019.
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