scholarly journals Preference, Expected Burden, and Willingness to Use Digital and Traditional Methods to Assess Food and Alcohol Intake

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3340
Author(s):  
Christoph Höchsmann ◽  
Nicole Fearnbach ◽  
James L. Dorling ◽  
Tera L. Fazzino ◽  
Candice A. Myers ◽  
...  
Keyword(s):  
Alcohol Intake ◽  
Online Survey ◽  
Reliability And Validity ◽  
Portion Size ◽  
Size Estimation ◽  
Strong Correlations ◽  
Food Records ◽  
High Preference ◽  
Willingness To Use ◽  
Portion Size Estimation

We conducted an online survey to examine the preference, expected burden, and willingness of people to use four different methods of assessing food and alcohol intake such as food/drink record, 24-h recall, Remote Food Photography Method© (RFPM, via SmartIntake® app), and a novel app (PortionSize®) that allows the in-app portion size estimation of foods/drinks by the user. For food (N = 1959) and alcohol (N = 466) intake assessment, 67.3% and 63.3%, respectively, preferred the RFPM/SmartIntake®, 51.9% and 53.4% preferred PortionSize®, 48.0% and 49.3% the food records, and 32.9% and 33.9% the 24-h recalls (difference in preference across all methods was p < 0.001 for food and alcohol intake). Ratings of burden and preference of methods were virtually superimposable, and we found strong correlations between high preference and low expected burden for all methods (all ρ ≥ 0.82; all p < 0.001). Willingness (mean (SD)) to use the RFPM/SmartIntake® (food: 6.6 (2.0); alcohol: 6.4 (2.4)) was greater than PortionSize® (food: 6.0 (2.2); alcohol: 6.0 (2.4); all p < 0.001) and 24-h recalls (food: 6.1 (2.2); alcohol: 5.7 (2.7); p < 0.001), but not different from food records (food: 6.6 (2.0); alcohol: 6.5 (2.3); all p ≥ 0.33). Our results can be used in conjunction with existing data on the reliability and validity of these methods in order to inform the selection of methods for the assessment of food and alcohol intake.

scholarly journals A comparison of food portion size estimation by older adults, young adults and nutritionists

2017 ◽  
Vol 22 (2) ◽  
pp. 230-236 ◽  
Author(s):  
Claire Marie Timon ◽  
S. E. Cooper ◽  
M. E. Barker ◽  
A. J. Astell ◽  
T. Adlam ◽  
...  
Keyword(s):  
Older Adults ◽  
Young Adults ◽  
Portion Size ◽  
Size Estimation ◽  
Food Portion ◽  
Portion Size Estimation ◽  
Food Portion Size

scholarly journals Validation of a digitally displayed photographic food portion-size estimation aid among women in urban and rural Malawi

2019 ◽  
Vol 22 (17) ◽  
pp. 3140-3150 ◽  
Author(s):  
Valerie L Flax ◽  
Chrissie Thakwalakwa ◽  
Courtney H Schnefke ◽  
Heather Stobaugh ◽  
John C Phuka ◽  
...  
Keyword(s):  
Rural Communities ◽  
Low Income ◽  
Portion Size ◽  
Size Estimation ◽  
Individual Level ◽  
Low Income Country ◽  
Urban Rural ◽  
Highly Correlated ◽  
The Individual ◽  
Portion Size Estimation

AbstractObjective:To validate digitally displayed photographic portion-size estimation aids (PSEA) against a weighed meal record and compare findings with an atlas of printed photographic PSEA and actual prepared-food PSEA in a low-income country.Design:Participants served themselves water and five prepared foods, which were weighed separately before the meal and again after the meal to measure any leftovers. Participants returned the following day and completed a meal recall. They estimated the quantities of foods consumed three times using the different PSEA in a randomized order.Setting:Two urban and two rural communities in southern Malawi.Participants:Women (n 300) aged 18–45 years, equally divided by urban/rural residence and years of education (≤4 years and ≥5 years).Results:Responses for digital and printed PSEA were highly correlated (>91 % agreement for all foods, Cohen’s κw = 0·78–0·93). Overall, at the individual level, digital and actual-food PSEA had a similar level of agreement with the weighed meal record. At the group level, the proportion of participants who estimated within 20 % of the weighed grams of food consumed ranged by type of food from 30 to 45 % for digital PSEA and 40–56 % for actual-food PSEA. Digital PSEA consistently underestimated grams and nutrients across foods, whereas actual-food PSEA provided a mix of under- and overestimates that balanced each other to produce accurate mean energy and nutrient intake estimates. Results did not differ by urban and rural location or participant education level.Conclusions:Digital PSEA require further testing in low-income settings to improve accuracy of estimations.

Equivalence-Based Instruction with Nonfood Items to Increase Portion-Size Estimation Accuracy

2018 ◽  
Vol 68 (4) ◽  
pp. 537-547 ◽  
Author(s):  
Brianna Regan ◽  
Jason C. Vladescu ◽  
Kenneth F. Reeve ◽  
Ruth M. DeBar
Keyword(s):  
Portion Size ◽  
Estimation Accuracy ◽  
Size Estimation ◽  
Based Instruction ◽  
Portion Size Estimation

scholarly journals Integrating nutrition into the mathematics curriculum in Australian primary schools: protocol for a randomised controlled trial

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Berit M. Follong ◽  
Elena Prieto-Rodriguez ◽  
Andrew Miller ◽  
Clare E. Collins ◽  
Tamara Bucher
Keyword(s):  
Primary School ◽  
Nutrition Education ◽  
Controlled Trial ◽  
Nutrition Knowledge ◽  
Portion Size ◽  
Trial Registration ◽  
Size Estimation ◽  
Post Intervention ◽  
And Mathematics ◽  
Portion Size Estimation

Abstract Background Nutrition education programs in schools have been effective in improving children’s knowledge and behaviours related to food and nutrition. However, teachers find it challenging to implement such programs due to overcrowded curricula. Integrating nutrition with core subjects such as mathematics could potentially address time constraints and improve the learning of both. The primary aim of this randomized controlled trial (RCT) is to evaluate the impact of a cross-curricular nutrition and mathematics program on primary school students’ portion size estimation skills. Secondary aims include impact on their nutrition knowledge, attitudes towards mathematics and evaluating the quality of the lessons. Methods Twelve Year 3–4 classes from Catholic schools in New South Wales, Australia will be randomised to intervention (n = 6) or control (n = 6) groups. Teachers in the intervention group will receive a professional development workshop and resources to teach 4–5 lessons on portion size and measurements across 1–4 weeks. Outcome measures include portion size estimation skills, nutrition knowledge and attitudes towards mathematics, with data collected during three school visits (pre-intervention, immediately post-intervention, 4 weeks post-intervention). Additionally, teaching quality will be assessed in both intervention and control groups and process evaluation undertaken using teacher interviews and student focus groups. Discussion This RCT uses an innovative approach to improve both nutrition and mathematics related learning outcomes among primary school children. It has the potential to impact teaching practices regarding integration of nutrition into curricula and enhance the implementation of nutrition education interventions. Trial registration Australian and New Zealand Clinical Trials Register ACTRN12619001071112 31/07/2019.

Evaluation of portion size estimation aids used for meat in dietary surveys

2001 ◽  
Vol 21 (9) ◽  
pp. 1217-1233 ◽  
Author(s):  
Sandria Godwin ◽  
Bruce McGuire ◽  
Edgar Chambers ◽  
Margaret McDowell ◽  
Linda Cleveland ◽  
...  
Keyword(s):  
Portion Size ◽  
Size Estimation ◽  
Dietary Surveys ◽  
Portion Size Estimation

Effects of hunger and experience on portion size estimation by men

Appetite ◽  
2009 ◽  
Vol 52 (3) ◽  
pp. 821 ◽  
Author(s):  
N. Brogden ◽  
C. Sinclair ◽  
E. Almiron-Roig
Keyword(s):  
Portion Size ◽  
Size Estimation ◽  
Portion Size Estimation

scholarly journals Consumer views of portion size estimation aids

2013 ◽  
Vol 72 (OCE3) ◽  
Author(s):  
G. P. Faulkner ◽  
L. K. Pourshahidi ◽  
M. Dean ◽  
M. Spence ◽  
S. O'Brien ◽  
...  
Keyword(s):  
Portion Size ◽  
Size Estimation ◽  
Portion Size Estimation

scholarly journals An evaluation of portion size estimation aids: Consumer perspectives on their effectiveness

Appetite ◽  
2017 ◽  
Vol 114 ◽  
pp. 200-208 ◽  
Author(s):  
Gemma P. Faulkner ◽  
M. Barbara E. Livingstone ◽  
L. Kirsty Pourshahidi ◽  
Michelle Spence ◽  
Moira Dean ◽  
...  
Keyword(s):  
Portion Size ◽  
Size Estimation ◽  
Consumer Perspectives ◽  
Portion Size Estimation
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