Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Forster, Hannah; Fallaize, Rosalind; Gallagher, Caroline; O'Donovan, C.B.; Woolhead, Clara; Walsh, Marianne C.; Macready, Anna L.; Lovegrove, Julie A.; Mathers, John C.; Gibney, Michael J.; Brennan, Lorraine; Gibney, Eileen R.

doi:10.2196/jmir.3105

Cited by 123 publications

(237 citation statements)

References 47 publications

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“…The Food4Me online-FFQ has been validated against a 4-day weighed food record, and the agreement between methods varied, with correlations ranging from .23 (vitamin D) to .65 (protein, % total energy) for nutrient intakes and .11 (soups, sauces and miscellaneous foods) to .73 (yogurts) for food group intake (Fallaize et al 2014;Forster et al 2014). Intakes of foods and nutrients were computed in real time using a food composition database …”

Section: Food Frequency Questionnaire (Ffq)mentioning

confidence: 99%

Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries

et al. 2014

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Improving lifestyle behaviours has considerable potential for reducing the global burden of non-communicable diseases, promoting better health across the lifecourse and increasing well-being. However, realising this potential will require the development, testing and implementation of much more effective behaviour change interventions than are used conventionally. Therefore, the aim of this study was to conduct a multi-centre, web-based, proof-of-principle study of personalised nutrition (PN) to determine whether providing more personalised dietary advice leads to greater improvements in eating patterns and health outcomes compared to conventional populationbased advice. A total of 5,562 volunteers were screened across seven European countries; the first 1,607 participants who fulfilled the inclusion criteria were recruited into the trial. Participants were randomly assigned to one of the following intervention groups for a 6-month period: Level 0-control group-receiving conventional, non-PN advice; Level 1-receiving PN advice based on dietary intake data alone; Level 2-receiving PN advice based on dietary On behalf of the Food4Me study. 123Genes Nutr (2015) 10:450 DOI 10.1007/s12263-014-0450-2 intake and phenotypic data; and Level 3-receiving PN advice based on dietary intake, phenotypic and genotypic data. A total of 1,607 participants had a mean age of 39.8 years (ranging from 18 to 79 years). Of these participants, 60.9 % were women and 96.7 % were from white-European background. The mean BMI for all randomised participants was 25.5 kg m -2 , and 44.8 % of the participants had a BMI C 25.0 kg m -2 . Food4Me is the first large multi-centre RCT of web-based PN. The main outcomes from the Food4Me study will be submitted for publication during 2015.

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Section: Food Frequency Questionnaire (Ffq)mentioning

confidence: 99%

Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries

et al. 2014

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“…Online dietary assessment tools have used similar approaches to standard methods and include FFQ (17)(18)(19) , 24 h recalls (20)(21)(22) and dietary records (1,23) . Some tools are a hybrid method such as the Oxford WebQ, which is presented as a 24 h recall but relies on reporting of twenty-one food groups (24) over a 24 h period.…”

Section: Development Of Web-based Tools To Measure Dietmentioning

confidence: 99%

“…However, by making use of product nutrient labels it is possible to maintain a more current database than can be represented by the standard food tables. Other online tools have more limited food tables, for example, INTAKE24 uses a database of about 1560 foods from the National Diet and Nutrition Survey nutrient databank, which is linked to the UK generic food tables (21) ; Food4Me only asks about 157 foods (17) ; Diet Day for the USA has 9349 food items (27) . New technologies can support portion size assessment, which is often a challenge in dietary assessment.…”

Section: Development Of Web-based Tools To Measure Dietmentioning

confidence: 99%

Measuring diet in the 21st century: use of new technologies

Cade

2016

Proc. Nutr. Soc.

135

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The advent of the internet and smartphone technology has allowed dietary assessment to reach the 21st century! The variety of foods available on the supermarket shelf is now greater than ever before. New approaches to measuring diet may help to reduce measurement error and advance our understanding of nutritional determinants of disease. This advance provides the potential to capture detailed dietary data on large numbers of individuals without the need for costly and time-consuming manual nutrition coding. This aim of the present paper is to review the need for new technologies to measure diet with an overview of tools available. The three main areas will be addressed: (1) development of web-based tools to measure diet; (2) use of smartphone apps to self-monitor diet; (3) improving the quality of dietary assessment through development of an online library of tools. A practical example of the development of a web-based tool to assess diet myfood24 (www.myfood24. org) will be given exploring its potential, limitations and challenges. The development of a new food composition database using back-of-pack information will be described. Smartphone apps used to measure diet with a focus on obesity will be reviewed. Many apps are unreliable in terms of tracking, and most are not evaluated. Accurate and consistent measurement of diet is needed for public health and epidemiology. The choice of the most appropriate dietary assessment method tends to rely on experience. The DIET@NET partnership has developed best practice guidelines for selection of dietary assessment tools, which aim to improve the quality, consistency and comparability of dietary data. These developments provide us with a step-change in our ability to reliably characterise food and nutrient intake in population studies. The need for high-quality, validated systems will be important to fully realise the benefits of new technologies.

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“…The Food4Me FFQ, for use among adult populations, provided validation data only for 'Other beverages' grouped together, described as including all beverages except milk, alcoholic beverages, tea and coffee (104) and including fruit juices, carbonated beverages and squash (105) . These instruments are summarised in Table 2.…”

Section: Validationmentioning

confidence: 99%

A systematic review of methods to assess intake of sugar-sweetened beverages among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study

Riordan

Ryan

Perry

et al. 2016

Public Health Nutr.

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Research indicates that intake of sugar-sweetened beverages (SSB) may be associated with negative health consequences. However, differences between assessment methods can affect the comparability of intake data across studies. The current review aimed to identify methods used to assess SSB intake among children and adults in pan-European studies and to inform the development of the DEDIPAC (DEterminants of DIet and Physical Activity) toolbox of methods suitable for use in future European studies. A literature search was conducted using three electronic databases and by hand-searching reference lists. English-language studies of any design which assessed SSB consumption were included in the review. Studies involving two or more European countries were included in the review. Healthy, free-living children and adults. The review identified twenty-three pan-European studies which assessed intake of SSB. The FFQ was the most commonly used (n 24), followed by the 24 h recall (n 6) and diet records (n 1). There were several differences between the identified FFQ, including the definition of SSB used. In total, seven instruments that were tested for validity were selected as potentially suitable to assess SSB intake among adults (n 1), adolescents (n 3) and children (n 3). The current review highlights the need for instruments to use an agreed definition of SSB. Methods that were tested for validity and used in pan-European populations encompassing a range of countries were identified. These methods should be considered for use by future studies focused on evaluating consumption of SSB

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Online Dietary Intake Estimation: The Food4Me Food Frequency Questionnaire

Cited by 123 publications

References 47 publications

Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries

Design and baseline characteristics of the Food4Me study: a web-based randomised controlled trial of personalised nutrition in seven European countries

Measuring diet in the 21st century: use of new technologies

A systematic review of methods to assess intake of sugar-sweetened beverages among healthy European adults and children: a DEDIPAC (DEterminants of DIet and Physical Activity) study

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