Dataset Information

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.

ABSTRACT: Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalized dietary advice in a multicenter study and to examine the impact of automating the advice system.The development of the dietary feedback system included 4 components: (1) designing a system for categorizing nutritional intakes; (2) creating a method for prioritizing 3 nutrient-related goals for subsequent targeted dietary advice; (3) constructing decision tree algorithms linking data on nutritional intake to feedback messages; and (4) developing personal feedback reports. The system was used manually by researchers to provide personalized nutrition advice based on dietary assessment to 369 participants during the Food4Me randomized controlled trial, with an automated version developed on completion of the study.Saturated fatty acid, salt, and dietary fiber were most frequently selected as nutrient-related goals across the 7 centers. Average agreement between the manual and automated systems, in selecting 3 nutrient-related goals for personalized dietary advice across the centers, was highest for nutrient-related goals 1 and 2 and lower for goal 3, averaging at 92%, 87%, and 63%, respectively. Complete agreement between the 2 systems for feedback advice message selection averaged at 87% across the centers.The dietary feedback system was used to deliver personalized dietary advice within a multi-country study. Overall, there was good agreement between the manual and automated feedback systems, giving promise to the use of automated systems for personalizing dietary advice.Clinicaltrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6ht5Dgj8I).

SUBMITTER: Forster H

PROVIDER: S-EPMC4945818 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.

Forster Hannah H Walsh Marianne C MC O'Donovan Clare B CB Woolhead Clara C McGirr Caroline C Daly E J EJ O'Riordan Richard R Celis-Morales Carlos C Fallaize Rosalind R Macready Anna L AL Marsaux Cyril F M CF Navas-Carretero Santiago S San-Cristobal Rodrigo R Kolossa Silvia S Hartwig Kai K Mavrogianni Christina C Tsirigoti Lydia L Lambrinou Christina P CP Godlewska Magdalena M Surwiłło Agnieszka A Gjelstad Ingrid Merethe Fange IM Drevon Christian A CA Manios Yannis Y Traczyk Iwona I Traczyk Iwona I Martinez J Alfredo JA Saris Wim H M WH Daniel Hannelore H Lovegrove Julie A JA Mathers John C JC Gibney Michael J MJ Gibney Eileen R ER Brennan Lorraine L

Journal of medical Internet research 20160630 6

<h4>Background</h4>Despite numerous healthy eating campaigns, the prevalence of diets high in saturated fatty acids, sugar, and salt and low in fiber, fruit, and vegetables remains high. With more people than ever accessing the Internet, Web-based dietary assessment instruments have the potential to promote healthier dietary behaviors via personalized dietary advice.<h4>Objective</h4>The objectives of this study were to develop a dietary feedback system for the delivery of consistent personalize ...[more]

PMID: 27363307

Similar Datasets

Project description:BackgroundTo determine the efficacy of behavior change techniques applied in dietary and physical activity intervention studies, it is first necessary to record and describe techniques that have been used during such interventions. Published frameworks used in dietary and smoking cessation interventions undergo continuous development, and most are not adapted for Web-based delivery. The Food4Me study (N=1607) provided the opportunity to use existing frameworks to describe standardized Web-based techniques employed in a large-scale, internet-based intervention to change dietary behavior and physical activity.ObjectiveThe aims of this study were (1) to describe techniques embedded in the Food4Me study design and explain the selection rationale and (2) to demonstrate the use of behavior change technique taxonomies, develop standard operating procedures for training, and identify strengths and limitations of the Food4Me framework that will inform its use in future studies.MethodsThe 6-month randomized controlled trial took place simultaneously in seven European countries, with participants receiving one of four levels of personalized advice (generalized, intake-based, intake+phenotype-based, and intake+phenotype+gene-based). A three-phase approach was taken: (1) existing taxonomies were reviewed and techniques were identified a priori for possible inclusion in the Food4Me study, (2) a standard operating procedure was developed to maintain consistency in the use of methods and techniques across research centers, and (3) the Food4Me behavior change technique framework was reviewed and updated post intervention. An analysis of excluded techniques was also conducted.ResultsOf 46 techniques identified a priori as being applicable to Food4Me, 17 were embedded in the intervention design; 11 were from a dietary taxonomy, and 6 from a smoking cessation taxonomy. In addition, the four-category smoking cessation framework structure was adopted for clarity of communication. Smoking cessation texts were adapted for dietary use where necessary. A posteriori, a further 9 techniques were included. Examination of excluded items highlighted the distinction between techniques considered appropriate for face-to-face versus internet-based delivery.ConclusionsThe use of existing taxonomies facilitated the description and standardization of techniques used in Food4Me. We recommend that for complex studies of this nature, technique analysis should be conducted a priori to develop standardized procedures and training and reviewed a posteriori to audit the techniques actually adopted. The present framework description makes a valuable contribution to future systematic reviews and meta-analyses that explore technique efficacy and underlying psychological constructs. This was a novel application of the behavior change taxonomies and was the first internet-based personalized nutrition intervention to use such a framework remotely.Trial registrationClinicalTrials.gov NCT01530139; https://clinicaltrials.gov/ct2/show/NCT01530139 (Archived by WebCite at http://www.webcitation.org/6y8XYUft1).

Project description:OBJECTIVE:Despite its prominence in the health communication literature, psychological reactance has rarely been considered as a factor that may undermine web-based Personalized Normative Feedback (PNF) alcohol interventions for college students. This study built on recent gamification work to examine how chance-based uncertainty, a popular game mechanic associated with motivation and attention in digital games for learning, might be leveraged to reduce the psychological reactance experienced by heavy drinking students receiving alcohol PNF, thereby leading to larger reductions in their alcohol consumption. METHOD:Psychological reactance, perceptions of norms, and drinking behaviors were assessed during a 3-week period following random assignment of binge drinking students (N = 141, 51% female) into one of four web-based PNF conditions. These conditions asked the same questions about drinking and delivered identical PNF on alcohol use but differed in whether animated slot-machine spinners appeared to select participants' question and feedback topics as well as the number of additional topics (beyond alcohol) on which questions were asked and PNF was delivered. RESULTS:All conditions similarly reduced drinking norms but differed in the degree to which they aroused cognitive reactance and reduced drinking. Relative to a no-spinner alcohol-only condition, increasing chance-based uncertainty by giving question and feedback topics the appearance of being selected by gamelike spinners substantially reduced cognitive reactance, which, in turn, reduced drinking 20 days later. Overall, participants experienced the least cognitive reactance when spinners first selected three question topics and later selected two of these topics to deliver feedback on. CONCLUSIONS:Findings suggest that introducing chance-based uncertainty through gamelike spinners, asking questions about multiple topics, and delivering feedback on additional topics unrelated to alcohol together work to reduce the degree to which the task feels like an alcohol intervention overtly aimed at reducing consumption, thereby making the alcohol PNF more effective among heavy drinking students.

Project description:BACKGROUND:Young adult veterans from the wars in Iraq and Afghanistan represent a population at-risk for heavy and problematic alcohol use. Unfortunately, few seek treatment for alcohol concerns and those that do seek care may drop out from lengthy multicomponent treatments. Additionally, veterans who live in rural areas and those who are not engaged in the Veterans Affairs Healthcare System are often overlooked, difficult to engage in treatment, and may not be actively seeking treatment for heavy patterns of use that may develop into an alcohol use disorder. The objective of this proposed randomized controlled trial is to develop and pilot test a brief, stand-alone Internet-based alcohol intervention with young adult veterans to help them reduce their drinking and prevent the development of problematic alcohol use. METHODS/DESIGN:Recruitment and intervention is delivered entirely over the Internet to address barriers to seeking care among this at-risk group. The online intervention consists of an assessment followed by a single module of personalized normative feedback (PNF), which provides individuals with accurate information to reduce misperceptions regarding the frequency and acceptability of risky peer behavior. PNF has established efficacy as included within multicomponent interventions targeting military populations or as a stand-alone intervention with young adult college students, but has not yet been empirically supported for the at-risk veteran population. This paper describes the development of the PNF intervention content and details the protocol for the intervention study, which will utilize a sample of 600 young adult veterans to examine the efficacy of the brief PNF intervention targeted toward reducing perceived norms, intentions to drink, actual drinking behavior, and consequences. Specific subpopulations of this veteran population, including those with mental health concerns and those differentiated by level of drinking problems, reasons for drinking, and connection to peers, will be examined to support generalizability of the intervention. DISCUSSION:This intervention has the potential to improve veteran health care by utilizing a novel approach to increase access to care, assist with drinking reductions, and prevent alcohol-related problems. Trial registration ClinicalTrials.gov Identifier NCT02187887.

Project description:BackgroundThe effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications.MethodsParticipants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications.ResultsOf the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2.ConclusionsCompared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods.Trial registrationClinicaltrials.gov NCT01530139 . Registered 9 February 2012.

Project description:BackgroundOverweight is a major health issue, and parent-targeted interventions to promote healthy development in children are needed.ObjectiveThe study aimed to evaluate E-health4Uth Healthy Toddler, an intervention that educates parents of children aged 18 to 24 months regarding health-related behaviors, as compared with usual care. The effect of this intervention on the following primary outcomes was evaluated when the children were 36 months of age: health-related behaviors (breakfast daily, activity and outside play, sweetened beverage consumption, television (TV) viewing and computer time), body mass index (BMI), and the prevalence of overweight and obesity.MethodsThe BeeBOFT (acronym for breastfeeding, breakfast daily, outside playing, few sweet drinks, less TV viewing) study is a cluster randomized controlled trial involving 51 Youth Health Care (YHC) teams. In total, 1094 parents participated in the control group, and 1008 parents participated in the E-health4Uth Healthy Toddler intervention group. The intervention consisted of Web-based personalized advice given to parents who completed an eHealth module and discussion of the advice during a regular well-child visit. In this study the eHealth module was offered to parents before two regular well-child visits at 18 and 24 months of age. During the well-child visits, the parents' personalized advice was combined with face-to-face counseling provided by the YHC professional. Parents in the control group received usual care, consisting of the regular well-child visits during which general information on child health-related behavior was provided to parents. Parents completed questionnaires regarding family characteristics and health-related behaviors when the child was 1 month (inclusion), 6 months, 14 months, and 36 months (follow-up) of age. The child's height and weight were measured by trained health care professionals from birth through 36 months of age at fixed time points. Multilevel linear and logistic regression models were used to evaluate the primary outcomes at 36 months of age.ResultsAt 36 months, we observed no differences between health-related behaviors of children, BMI or the percentage of children having overweight or obesity in the control and intervention group (P>.05). An analysis of the intervention effect revealed that boys benefited from eating breakfast daily, non-Dutch children spent more time being active or playing outdoors, children of low-educated parents and of overweight and obese mothers spent less time watching TV or using the computer, and children of normal weight mothers drank less sweetened beverages (P<.05) compared with the control group.ConclusionsThe E-health4Uth Healthy Toddler intervention resulted in small improvements in health-related behaviors among subgroups but had no significant effects with respect to the children's BMI. We conclude that the E-health4Uth Healthy Toddler intervention may be useful for pediatric health care professionals in terms of providing parents with personalized information regarding their child's health-related behaviors.Trial registrationNetherlands Trial Register: NTR1831; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=1831 (Archived by WebCite at http://www.webcitation.org/6mm5YFOB0).

Project description:BackgroundDietary quality plays an essential role in the prevention and management of metabolic syndrome (MetS).ObjectiveThe aim of this pilot study is to organize personalized dietary advice in a real-life setting and to explore the effects on dietary intake, metabolic health, and perceived health.MethodsWe followed a one-group pretest-posttest design and included 37 individuals at risk of MetS, who indicated motivation to change dietary behavior. For a period of 16 weeks, participants received personalized advice (t=0 and t=8) and feedback (t=0, t=4, t=8, t=12 and t=16) on dietary quality and metabolic health (ie, waist circumference, BMI, blood pressure, lipid profile, fasting glucose levels, and C-peptide). Personalized advice was generated in a two-stage process. In stage 1, an automated algorithm generated advice per food group, integrating data on individual dietary quality (Dutch Healthy Diet Index; total score 8-80) and metabolic health parameters. Stage 2 included a telephone consultation with a trained dietitian to define a personal dietary behavior change strategy and to discuss individual preferences. Dietary quality and metabolic health markers were assessed at t=0, t=8, and t=16. Self-perceived health was evaluated on 7-point Likert scales at t=0 and t=16.ResultsAt the end of the study period, dietary quality was significantly improved compared with the baseline (Dutch Healthy Diet Index +4.3; P<.001). In addition, lipid profile (triglycerides, P=.02; total cholesterol, P=.01; high-density lipoprotein, P<.001; and low-density lipoprotein, P<.001), BMI (P<.001), waist circumference (P=.01), and C-peptide (P=.01) were all significantly improved, whereas plasma glucose increased by 0.23 nmol/L (P=.04). In line with these results, self-perceived health scores were higher at t=16 weeks than at baseline (+0.67; P=.005).ConclusionsThis exploratory study showed that personalized dietary advice resulted in positive effects on dietary behavior, metabolic health, and self-perceived health in motivated pre-MetS adults. The study was performed in a do-it-yourself setting, highlighting the potential of at-home health improvement through dietary changes.Trial registrationClinicalTrials.gov NCT04595669; https://clinicaltrials.gov/ct2/show/NCT04595669.

Dataset Information

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.

Publications

A Dietary Feedback System for the Delivery of Consistent Personalized Dietary Advice in the Web-Based Multicenter Food4Me Study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets