Effects of a Web-based Food Portion Training Program on Food Portion Estimation

Riley, William T.; Beasley, Jeannette M.; Sowell, Allison; Behar, A Rosa

doi:10.1016/j.jneb.2006.08.028

Cited by 27 publications

(24 citation statements)

References 21 publications

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“…A follow-up study conducted 3 months after initial training about SS showed that the immediate positive impact had not been maintained (96) . Some studies showed that SS guidance had no impact (70,(98)(99)(100)(101) and others resulted in under-or overestimation of SS (negative impact) (102,103) . These equivocal results cannot be explained by the different methods of communicating SS information, e.g.…”

Section: Consumer Understandingmentioning

confidence: 99%

Serving size guidance for consumers: is it effective?

et al. 2012

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Larger portion sizes (PS) may be inciting over-eating and contributing to obesity rates. Currently, there is a paucity of data on the effectiveness of serving size (SS) guidance. The aims of the present review are to evaluate SS guidance; the understanding, usability and acceptability of such guidance, its impact on consumers and potential barriers to its uptake. A sample of worldwide SS guidance schemes (n 87) were identified using targeted and untargeted searches, overall these were found to communicate various inconsistent and often conflicting messages about PS selection. The available data suggest that consumers have difficulty in understanding terms such as ‘portion size’ and ‘serving size’, as these tend to be used interchangeably. In addition, discrepancies between recommended SS and those present on food labels add to the confusion. Consumers generally understand and visualise SS best when expressed in terms of household measures rather than actual weights. Only a limited number of studies have examined the direct impact of SS guidance on consumer behaviour with equivocal results. Although consumers recognise that guidance on selecting SS would be helpful, they are often unwilling to act on such guidance. The challenge of achieving consumer adherence to SS guidance is formidable due to several barriers including chronic exposure to larger PS, distorted consumption norms and perceptions, the habit of ‘cleaning one's plate’ and language barriers for ethnic minorities. In conclusion, the impact of SS guidance on consumers merits further investigation to ensure that future guidance resonates with consumers by being more understandable, usable and acceptable.

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Section: Consumer Understandingmentioning

confidence: 99%

Serving size guidance for consumers: is it effective?

et al. 2012

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“…One assesses habitual beverage intake (BEVQ-15) [18], and the other measures usual physical activity level, Stanford Leisure-Time Activity Categorical Item 2.2 (L-Cat) [19]. There are several computerized nutrition education delivery [7,20,21] and dietary assessment tools [8,13,22-28] and a few Web-based physical activity questionnaires [12,29,30] currently available; however, to the best of our knowledge, no computer-based beverage intake questionnaire exists. The recently developed Automated Self-Administered 24-hour Recall [31] is computer-based and does contain questions about beverage intake; however, results on its validity and usability have yet to be published [32].…”

Section: Introductionmentioning

confidence: 99%

The Comparative Validity of Interactive Multimedia Questionnaires to Paper-Administered Questionnaires for Beverage Intake and Physical Activity: Pilot Study

Riebl¹,

Paone²,

Hedrick³

et al. 2013

JMIR Res Protoc

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BackgroundBrief, valid, and reliable dietary and physical activity assessment tools are needed, and interactive computerized assessments (ie, those with visual cues, pictures, sounds, and voiceovers) can reduce administration and scoring burdens commonly encountered with paper-based assessments.ObjectiveThe purpose of this pilot investigation was to evaluate the comparative validity and reliability of interactive multimedia (IMM) versions (ie, IMM-1 and IMM-2) compared to validated paper-administered (PP) versions of the beverage intake questionnaire (BEVQ-15) and Stanford Leisure-Time Activity Categorical Item (L-Cat); a secondary purpose was to evaluate results across two education attainment levels.MethodsAdults 21 years or older (n=60) were recruited to complete three laboratory sessions, separated by three to seven days in a randomly assigned sequence, with the following assessments–demographic information, two IMM and one paper-based (PP) version of the BEVQ-15 and L-Cat, health literacy, and an IMM usability survey.ResultsResponses across beverage categories from the IMM-1 and PP versions (validity; r=.34-.98) and the IMM-1 and IMM-2 administrations (reliability; r=.61-.94) (all P<.001) were significantly correlated. Paired t tests revealed significant differences in sugar-sweetened beverage (SSB) grams and kcal (P=.02 and P=.01, respectively) and total beverage kcal (P=.03), on IMM-1 and IMM-2; however, comparative validity was demonstrated between IMM-2 and the PP version suggesting familiarization with the IMM tool may influence participant responses (mean differences: SSB 63 grams, SEM 87; P=.52; SSB 21 kcal, SEM 33; P=.48; total beverage 65 kcal, SEM 49; P=.19). Overall mean scores between the PP and both IMM versions of the L-Cat were different (both P<.001); however, responses on all versions were correlated (P<.001). Differences between education categories were noted at each L-Cat administration (IMM-1: P=.008; IMM-2: P=.001; PP: P=.002). Major and minor themes from user feedback suggest that the IMM questionnaires were easy to complete, and relevant to participants' typical beverage choices and physical activity habits.ConclusionsIn general, less educated participants consumed more total beverage and SSB energy, and reported less engagement in physical activity. The IMM BEVQ-15 appears to be a valid and reliable measure to assess habitual beverage intake, although software familiarization may increase response accuracy. The IMM-L-Cat can be considered reliable and may have permitted respondents to more freely disclose actual physical activity levels versus the paper-administered tool. Future larger-scale investigations are warranted to confirm these possibilities.

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“…Training shifted accuracy from under-to overestimation (Riley et al, 2007). To date, therefore, the combination of caloric education and feedback training, albeit for portion size estimation, appears to have little to no effect on portion-size estimation.…”

Section: Calorie Estimation Training Programsmentioning

confidence: 94%

“…As expected, exposure to training and feedback improved portionsize accuracy; however, training effects did not generalize to new foods one month later (Rapp, Dubbert, Buttross, & Burkett, 1988). Riley et al(2007) extended this work by creating a web-based training that allows the participant to control the angle(s) at which each portion is viewed and provides feedback on accuracy. Participants either received this training immediately or after estimating the portion size of their own self-served meal.…”

Section: Calorie Estimation Training Programsmentioning

confidence: 99%