No association between consumption of eggs with energy or macronutrient intake: Objective evidence from the remote food photography method

2021 ◽  
Vol 15 (1) ◽  
pp. 313-318
Author(s):  
Chathurika S. Dhanasekara ◽  
John A. Dawson ◽  
Corby K. Martin ◽  
Nikhil V. Dhurandhar
Keyword(s):  
Macronutrient Intake ◽  
Objective Evidence ◽  
Food Photography ◽  
Photography Method

scholarly journals No Association Between Consumption of Eggs with Energy or Macronutrient Intake: Objective Evidence from the Remote Food Photography Method (P08-025-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Chathurika Dhanasekara ◽  
John Dawson ◽  
Corby Martin ◽  
Nik Dhurandhar
Keyword(s):  
Food Intake ◽  
Total Energy ◽  
Saturated Fat ◽  
Positive Association ◽  
Subjective Assessment ◽  
Food Groups ◽  
Egg Consumption ◽  
Objective Evidence ◽  
Food Photography ◽  
Photography Method

Abstract Objectives Studies using subjective assessment of food intake have reported associations of egg consumption with the intake of various food groups and nutrients, including positive associations with the intake of cholesterol, macronutrients, saturated fat, and total energy. Considering the substantial misreporting linked with subjective measures of food intake, we aimed to examine such associations of egg consumption in a setting with objectively measured food intake. Methods We assessed dietary intake using an ecological momentary assessment approach (i.e., Remote Food Photography Method, RFPM). Forty-eight healthy subjects (age 19–58 years; BMI 20.05–38.03 kg/m2; consume ≥1 egg per week) took ‘before’ and ‘after’ photographs of all food they consumed during consecutive 7 days using a smartphone app called SmartIntake®. Images were analyzed for nutrient content. Linear correlations between egg consumption and the intake of cholesterol, total energy, saturated fat, carbohydrate, protein, and that with Body Mass Index (BMI), were determined using R software. Results Egg consumption was positively related with cholesterol intake (r = 0.84, P < 0.001). Egg consumption was not significantly associated with the intake of total energy, saturated fat, carbohydrate, or protein. The association between egg consumption and BMI was also not significant (r = 0.25, P = 0.09). Conclusions Considering the higher cholesterol content in eggs, the positive association of egg consumption with cholesterol was expected. However, our objectively assessed findings contradict many of the other prevailing associations of egg consumption derived from subjective assessment of food intake. Our results showed that in this setting, egg consumption was not associated with greater intake of energy, saturated fat or other macronutrients. Funding Sources American Egg Board/Egg Nutrition Center

A comparison of the Remote Food Photography Method and the Automated Self-Administered 24-hour Dietary Assessment Tool for measuring full day dietary intake among school-aged children

2021 ◽  
pp. 1-26
Author(s):  
Traci A. Bekelman ◽  
Corby K. Martin ◽  
Susan L. Johnson ◽  
Deborah H. Glueck ◽  
Katherine A. Sauder ◽  
...  
Keyword(s):  
Dietary Intake ◽  
Energy Intake ◽  
Mixed Model ◽  
Linear Mixed Model ◽  
Assessment Tool ◽  
Dietary Assessment ◽  
Ease Of Use ◽  
Self Report ◽  
Food Photography ◽  
Photography Method

Abstract The limitations of self-report measures of dietary intake are well known. Novel, technology-based measures of dietary intake may provide a more accurate, less burdensome alternative to existing tools. The first objective of this study was to compare participant burden for two technology-based measures of dietary intake among school-age children: the Automated-Self Administered 24-hour Dietary Assessment Tool-2018 (ASA24-2018) and the Remote Food Photography Method (RFPM). The second objective was to compare reported energy intake for each method to the Estimated Energy Requirement for each child, as a benchmark for actual intake. Forty parent-child dyads participated in 2, 3-day dietary assessments: a parent proxy-reported version of the ASA24 and the RFPM. A parent survey was subsequently administered to compare satisfaction, ease of use and burden with each method. A linear mixed model examined differences in total daily energy intake (TDEI) between assessments, and between each assessment method and the EER. Reported energy intake was 379 kcal higher with the ASA24 than the RFPM (p=0.0002). Reported energy intake with the ASA24 was 231 kcal higher than the EER (p = 0.008). Reported energy intake with the RFPM did not differ significantly from the EER (difference in predicted means = −148 kcal, p = 0.09). Median satisfaction and ease of use scores were 5 out of 6 for both methods. A higher proportion of parents reported that the ASA24 was more time consuming than the RFPM (74.4% vs. 25.6%, p = 0.002). Utilization of both methods is warranted given their high satisfaction among parents.

scholarly journals Dietary Intake and Daily Distribution of Carbohydrate, Protein and Fat in Youth Tennis Players over a 7-Day Training and Competition Period

2021 ◽  
pp. 413-420
Author(s):  
James A. Fleming ◽  
Ciarán Ó Catháin ◽  
Liam D. Harper ◽  
Robert J. Naughton
Keyword(s):  
Protein Intake ◽  
Age Groups ◽  
Macronutrient Intake ◽  
Tennis Players ◽  
Carbohydrate Consumption ◽  
Nutrition Practices ◽  
Competition Period ◽  
Food Diaries ◽  
Performance Adaptation ◽  
Food Photography

During a 7-day training and/or competition period, macronutrient intake and distribution was assessed using food diaries, supported by remote food photography and 24-hr multiple pass recalls of youth tennis players categorised by under 12s, under 14s and under 16+ age groups (n = 27). Total energy did not differ between age groups nor type of day (training [TD], competition day [CD]), irrespective of a significant increase in body mass reported in the older players (U16+; p < 0.05). Average intakes were consistently below 2250 kcal·day-1 (range 1965 ± 317–2232 ± 612 kcal·day-1). Carbohydrate consumption was below guidelines for all groups (≤6g·kg-1). Conversely, protein intake met or exceeded guidelines throughout, with intakes ≥2 g·kg-1 for both the U12 and U14 age groups on both days. Protein intake was ~17% higher on TDs than CDs (p < 0.05), with protein intake at lunch significantly higher on TDs than CDs (p < 0.05). No further differences were observed between breakfast, lunch or dinner between group or day. Inconsistent snacking was reported, with players consuming snacks on less than half of the days reported (46 ± 12% of TDs and 43 ± 30% of CDs). In conclusion, youth tennis players present sub-optimal nutrition practices, appearing to under fuel and under consume carbohydrate for performance, adaptation, recovery and health.

scholarly journals Assessing dinner meals offered at home among preschoolers from low‐income families with the Remote Food Photography Method

2019 ◽  
Vol 14 (11) ◽  
Author(s):  
Traci A. Bekelman ◽  
Laura L. Bellows ◽  
Morgan L. McCloskey ◽  
Corby K. Martin ◽  
Susan L. Johnson
Keyword(s):  
Low Income ◽  
Low Income Families ◽  
Food Photography ◽  
Photography Method ◽  
At Home

scholarly journals Development and Application of the Remote Food Photography Method to Measure Food Intake in Exclusively Milk Fed Infants: A Laboratory-Based Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0163833 ◽  
Author(s):  
Abby D. Altazan ◽  
L. Anne Gilmore ◽  
Jeffrey H. Burton ◽  
Shelly A. Ragusa ◽  
John W. Apolzan ◽  
...  
Keyword(s):  
Food Intake ◽  
Food Photography ◽  
Photography Method

scholarly journals A novel method to remotely measure food intake of free-living individuals in real time: the remote food photography method

2008 ◽  
Vol 101 (3) ◽  
pp. 446-456 ◽  
Author(s):  
Corby K. Martin ◽  
Hongmei Han ◽  
Sandra M. Coulon ◽  
H. Raymond Allen ◽  
Catherine M. Champagne ◽  
...  
Keyword(s):  
Food Selection ◽  
Reliability And Validity ◽  
Living Conditions ◽  
Self Report ◽  
Free Living ◽  
Pilot Studies ◽  
Validity Tests ◽  
Food Photography ◽  
Photography Method ◽  
Free Living Conditions

The aim of the present study was to report the first reliability and validity tests of the remote food photography method (RFPM), which consists of camera-enabled cell phones with data transfer capability. Participants take and transmit photographs of food selection and plate waste to researchers/clinicians for analysis. Following two pilot studies, adult participants (n 52; BMI 20–35 kg/m2 inclusive) were randomly assigned to the dine-in or take-out group. Energy intake (EI) was measured for 3 d. The dine-in group ate lunch and dinner in the laboratory. The take-out group ate lunch in the laboratory and dinner in free-living conditions (participants received a cooler with pre-weighed food that they returned the following morning). EI was measured with the RFPM and by directly weighing foods. The RFPM was tested in laboratory and free-living conditions. Reliability was tested over 3 d and validity was tested by comparing directly weighed EI to EI estimated with the RFPM using Bland–Altman analysis. The RFPM produced reliable EI estimates over 3 d in laboratory (r 0·62; P < 0·0001) and free-living (r 0·68; P < 0·0001) conditions. Weighed EI correlated highly with EI estimated with the RFPM in laboratory and free-living conditions (r>0·93; P < 0·0001). In two laboratory-based validity tests, the RFPM underestimated EI by − 4·7 % (P = 0·046) and − 5·5 % (P = 0·076). In free-living conditions, the RFPM underestimated EI by − 6·6 % (P = 0·017). Bias did not differ by body weight or age. The RFPM is a promising new method for accurately measuring the EI of free-living individuals. Error associated with the method is small compared with self-report methods.

scholarly journals The Remote Food Photography Method Accurately Estimates Dry Powdered Foods—The Source of Calories for Many Infants

2016 ◽  
Vol 116 (7) ◽  
pp. 1172-1177 ◽  
Author(s):  
Abby F. Duhé ◽  
L. Anne Gilmore ◽  
Jeffrey H. Burton ◽  
Corby K. Martin ◽  
Leanne M. Redman
Keyword(s):  
Food Photography ◽  
Photography Method

scholarly journals Preliminary feasibility and acceptability of the remote food photography method for assessing nutrition in young children with type 1 diabetes.

2018 ◽  
Vol 6 (3) ◽  
pp. 270-277 ◽  
Author(s):  
Meredith H. Rose ◽  
Randi Streisand ◽  
Laura Aronow ◽  
Carrie Tully ◽  
Corby K. Martin ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Young Children ◽  
Food Photography ◽  
Photography Method

scholarly journals The Remote Food Photography Method and SmartIntake App for the Assessment of Alcohol Use in Young Adults: Feasibility Study and Comparison to Standard Assessment Methodology

10.2196/10460 ◽  
2018 ◽  
Vol 6 (9) ◽  
pp. e10460 ◽  
Author(s):  
Tera L Fazzino ◽  
Corby K Martin ◽  
Kelsie Forbush
Keyword(s):  
College Students ◽  
Young Adults ◽  
Alcohol Use ◽  
Drinking Behavior ◽  
Caloric Intake ◽  
Heavy Drinking ◽  
Self Report ◽  
Study Participants ◽  
Food Photography ◽  
Photography Method

Background Heavy drinking is prevalent among young adults and may contribute to obesity. However, measurement tools for assessing caloric intake from alcohol are limited and rely on self-report, which is prone to bias. Objective The purpose of our study was to conduct feasibility testing of the Remote Food Photography Method and the SmartIntake app to assess alcohol use in young adults. Aims consisted of (1) quantifying the ability of SmartIntake to capture drinking behavior, (2) assessing app usability with the Computer System Usability Questionnaire (CSUQ), (3) conducting a qualitative interview, and (4) comparing preference, usage, and alcohol use estimates (calories, grams per drinking episode) between SmartIntake and online diet recalls that participants completed for a parent study. Methods College students (N=15) who endorsed a pattern of heavy drinking were recruited from a parent study. Participants used SmartIntake to send photographs of all alcohol and food intake over a 3-day period and then completed a follow-up interview and the CSUQ. CSUQ items range from 1-7, with lower scores indicating greater usability. Total drinking occasions were determined by adding the number of drinking occasions captured by SmartIntake plus the number of drinking occasions participants reported that they missed capturing. Usage was defined by the number of days participants provided food/beverage photos through the app, or the number of diet recalls completed. Results SmartIntake captured 87% (13/15) of total reported drinking occasions. Participants rated the app as highly usable in the CSUQ (mean 2.28, SD 1.23). Most participants (14/15, 93%) preferred using SmartIntake versus recalls, and usage was significantly higher with SmartIntake than recalls (42/45, 93% vs 35/45, 78%; P=.04). Triple the number of participants submitted alcohol reports with SmartIntake compared to the recalls (SmartIntake 9/15, 60% vs recalls 3/15, 20%; P=.06), and 60% (9/15) of participants reported drinking during the study. Conclusions SmartIntake was acceptable to college students who drank heavily and captured most drinking occasions. Participants had higher usage of SmartIntake compared to recalls, suggesting SmartIntake may be well suited to measuring alcohol consumption in young adults. However, 40% (6/15) did not drink during the brief testing period and, although findings are promising, a longer trial is needed.

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