scholarly journals Development of a Simplified Portion Size Selection Task

Foods ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 1121
Author(s):  
Aimee E. Pink ◽  
Bobby K. Cheon
Keyword(s):  
Important Determinant ◽  
Portion Size ◽  
Online Data ◽  
Cognitive Restraint ◽  
Portion Sizes ◽  
Physical Presence ◽  
Item Characteristics ◽  
Three Factor Eating Questionnaire ◽  
Online Data Collection ◽  
Selection Tasks

Portion size is an important determinant of energy intake and the development of easy to use and valid tools for measuring portion size are required. Standard measures, such as ad libitum designs and currently available computerized portion selection tasks (PSTs), have several limitations including only being able to capture responses to a limited number of foods, requiring participants’ physical presence and logistical/technical demands. The objective of the current study was to develop and test robust and valid measures of portion size that can be readily prepared by researchers and be reliably utilized for remote online data collection. We developed and tested two simplified PSTs that could be utilized online: (1) portion size images presented simultaneously along a horizontal continuum slider and (2) multiple-choice images presented vertically. One hundred and fifty participants (M = 21.35 years old) completed both simplified PSTs, a standard computerized PST and a series of questionnaires of variables associated with portion size (e.g., hunger, food item characteristics, Three Factor Eating Questionnaire). We found average liking of foods was a significant predictor of all three tasks and cognitive restraint also predicted the two simplified PSTs. We also found significant agreement between the standard PST and estimated portion sizes derived from the simplified PSTs when accounting for average liking. Overall, we show that simplified versions of the standard PST can be used online as an analogue of estimating ideal portion size.

scholarly journals Development and Validation of a Lifestyle Behavior Tool in Overweight and Obese Women through Qualitative and Quantitative Approaches

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4553
Author(s):  
Chee Wai Ku ◽  
Rachael Si Xuan Loo ◽  
Cheryl Jia En Lim ◽  
Jacinth JX Tan ◽  
Joey Ee Wen Ho ◽  
...  
Keyword(s):  
Physical Activity ◽  
Eating Behavior ◽  
Portion Size ◽  
Lifestyle Behaviors ◽  
Obese Women ◽  
Cognitive Restraint ◽  
Raising Awareness ◽  
Three Factor Eating Questionnaire ◽  
Development And Validation ◽  
Activity Questionnaire

There is a paucity of effective intervention tools for overweight/obese women to assess, guide and monitor their eating behavior. This study aimed to develop a lifestyle intervention tool, assess its acceptability and usefulness, and verify its construct validity in overweight/obese women. The 6P tool (Portion, Proportion, Pleasure, Phase, Physicality, Psychology) was developed and 15 women with a body mass index (BMI) ≥ 25 kg/m2 were interviewed to assess its perceived acceptability and usefulness. Subsequently, the revised 6P tool was tested in 46 women with a BMI ≥ 25 kg/m2. The Three-Factor Eating Questionnaire (TFEQ), International Physical Activity Questionnaire-Short (IPAQ), and weight were measured at baseline and one-month. Most participants were satisfied with the presentation of the 6P tool (86.8%), and agreed it was useful in guiding healthy eating (81.6%) and raising awareness of eating behavior (97.4%). There were significant improvements in cognitive restraint (p = 0.010) and disinhibition (p = 0.030) (TFEQ), portion size (P1), pleasure behaviors (P3), and total composite 6P score (p < 0.001). However, there was no significant reduction in weight or increase in physical activity. The 6P tool is acceptable and presents with good validity for assessing lifestyle behaviors.

A Technical Guide to Using Amazon's Mechanical Turk in Behavioral Accounting Research

2017 ◽  
Vol 30 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Steve Buchheit ◽  
Marcus M. Doxey ◽  
Troy Pollard ◽  
Shane R. Stinson
Keyword(s):  
Third Party ◽  
Mechanical Turk ◽  
Behavioral Accounting ◽  
Online Data ◽  
Research Participants ◽  
Traditional Research ◽  
Potential Benefits ◽  
Technical Guide ◽  
Online Data Collection ◽  
Amazon's Mechanical Turk

ABSTRACT Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about their efforts to attract participants and analyze responses.

scholarly journals Analysis of the National Adult Nutrition Survey (Ireland) and the Food4Me Nutrition Survey Databases to Explore the Development of Food Labelling Portion Sizes for the European Union

Nutrients ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 6 ◽  
Author(s):  
Michael Gibney ◽  
Aifric O’Sullivan ◽  
Albert Flynn ◽  
Janette Walton ◽  
Hannelore Daniel ◽  
...  
Keyword(s):  
European Union ◽  
Survey Data ◽  
Portion Size ◽  
Food Labelling ◽  
Food Diary ◽  
Nutrition Survey ◽  
Portion Sizes ◽  
Food Portion ◽  
Food Portion Size ◽  
The Eu

The present study set out to explore the option of developing food portion size for nutritional labelling purposes using two European Union (EU) dietary surveys. The surveys were selected as they differed in (a) methodologies (food diary versus food frequency questionnaire), (b) populations (Irish National Adult Nutrition Survey (NANS) versus a seven-country survey based on the pan EU study Food4Me), (c) food quantification (multiple options versus solely photographic album) and (d) duration (4 consecutive days versus recent month). Using data from these studies, portion size was determined for 15 test foods, where portion size was defined as the median intake of a target food when consumed. The median values of the portion sizes derived from both the NANS and Food4Me surveys were correlated (r = 0.823; p < 0.00) and the mean of the two survey data sets were compared to US values from the Recognized as Customarily Consumed (RACC) database. There was very strong agreement across all food categories between the averaged EU and the US portion size (r = 0.947; p < 0.00). It is concluded that notwithstanding the variety of approaches used for dietary survey data in the EU, the present data supports using a standardized approach to food portion size quantification for food labelling in the EU.

User categories of mobile travel services

2014 ◽  
Vol 5 (1) ◽  
pp. 17-30 ◽  
Author(s):  
Niklas Eriksson
Keyword(s):  
Online Survey ◽  
Service Providers ◽  
Mobile Services ◽  
Individual Characteristics ◽  
Online Data ◽  
Content Type ◽  
Travel Services ◽  
Online Data Collection ◽  
Barriers To Use ◽  
Practical Implications

Purpose – This study aims to identify user categories of mobile travel services and analyze the differences between the categories based on individual characteristics, the individuals' perceived barriers to use internet-/mobile services during a trip and the individuals' preferred channel strategies. Design/methodology/approach – An extensive online survey in Finland was conducted to collect the data and a cluster analysis is used to identify the user categories. Findings – The study indicates that there are four user categories of mobile travel services: “info-seekers”, “checkers”, “bookers” and “all-rounders” and one group of “non-users”. Research limitations/implications – Due to the online data collection method and the self-selective process, the sample may be biased towards respondents finding electronic travel services important. It would be of value to conduct similar studies on a representative sample of the total population of different countries. Practical implications – The identified categories can be seen as consumer segments for which travel service providers can target mobile services. Originality/value – This study contributes with a categorization of mobile travelers and provides insights on the diffusion of mobile travel services.

Cognitive restraint and impulsive eating: Insights from the Three-Factor Eating Questionnaire.

1992 ◽  
Vol 6 (1) ◽  
pp. 47-53 ◽  
Author(s):  
R. Lorraine Collins ◽  
William M. Lapp ◽  
Lynn Helder ◽  
Judith A. Saltzberg
Keyword(s):  
Cognitive Restraint ◽  
Three Factor Eating Questionnaire ◽  
Three Factor

scholarly journals Can front-of-pack labels influence portion size judgements for unhealthy foods?

2018 ◽  
Vol 21 (15) ◽  
pp. 2776-2781 ◽  
Author(s):  
Zenobia Talati ◽  
Simone Pettigrew ◽  
Bridget Kelly ◽  
Kylie Ball ◽  
Bruce Neal ◽  
...  
Keyword(s):  
Personal Computer ◽  
Daily Intake ◽  
Portion Size ◽  
Star Rating ◽  
Traffic Lights ◽  
Product Categories ◽  
Portion Sizes ◽  
Daily Intake Guide

AbstractObjectiveBy clearly conveying the healthiness of a food, front-of-pack (FOP) labels have the potential to influence the portion size considered appropriate for consumption. The present study examined the how the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL) and Health Star Rating (HSR) FOP labels affect judgements of appropriate portion sizes of unhealthy foods compared with when no FOP label is present.DesignRespondents viewed mock packages of unhealthy variations of pizzas, cookies, yoghurts and cornflakes featuring the DIG, MTL, HSR or no FOP label, and indicated the portion size they believed should be eaten of each food on a single occasion.SettingThe survey was completed on the respondent’s personal computer.SubjectsA total of 1505 Australian adults provided 4166 ratings across 192 mock packages relating to four product categories: pizza, yoghurt, cornflakes and cookies.ResultsCompared with no FOP label, the HSR resulted in a small but significant reduction in the portion size selected as appropriate for consumption of pizzas and cornflakes (P<0·05). The MTL resulted in smaller portions of cornflakes being selected compared with no FOP label (P<0·05).ConclusionsRespondents perceived smaller portion sizes as appropriate for some, but not all, of the foods tested when FOP labels with more interpretative formats (HSR, MTL) appeared on-pack compared with no FOP label. No effect was found for the less interpretive FOP label (the DIG). Interpretive FOP labels may have the potential to influence portion size judgements, albeit at modest levels.

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