Food Frequency Questionnaires for dietary intake research

The benefits
In short- Ready-to-use, validated food frequency questionnaires
- Tailored questionnaires aligned with your nutrients or target groups
- Fully web-based distribution and data collection
- Automated data processing into analysable datasets
- Optional verification by our experienced dietitians
Our Food Frequency Questionnaires (FFQ) tool helps researchers to develop web-based food questionnaires to assess habitual dietary intake of participants. These questionnaires can be automatically administered and processed.
Researchers often need a reliable way to rank or classify participants based on their habitual food and nutrient intake. The FFQ-tool supports this need by enabling the development and use of web-based Food Frequency Questionnaires (FFQs), suitable for observational studies, cohorts and intervention research.
The tool offers a range of validated, ready-to-use FFQs, including comprehensive questionnaires for adults, children and Dutch cohort studies. When a standard FFQ does not fit the research question or population, researchers can develop a tailored FFQ using a validated methodology based on large dietary surveys. Foods are selected for their contribution to nutrient intake and their ability to distinguish between individuals.
FFQs are distributed digitally by the researcher and completed through a secure web interface. After data collection, our dietitians process the data into CSV files with daily intake values for foods, energy and nutrients. Optional data checks identify potential over- or underreporting.
- FQ18: a questionnaire to assess intake of energy, macronutrients, type of fatty acids, and dietary fibre.
- FQ13: a more comprehensive FFQ, that, in addition to the nutrients mentioned above, includes questions on foods to capture several important micronutrients, such as calcium, iron, vitamin B1, B2, B6 and B12.
- Score-FFQ: a comprehensive FFQ based on the FQ13, in addition this FFQ is able to score the Dutch Healthy Diet 2015 index and the WCRF/AICR Score.
- FFQ-NL: a comprehensive questionnaire with a reference period of one year to be applied in Dutch cohort studies.
- Children FFQ: a comprehensive FFQ that can assess the intake of energy, macronutrients and micronutrients, such as calcium, iron, vitamin B1, B2, B6 and B12, tailored for children from 2 till 12 years old
If a standard FFQ does not meet your research purpose or target population, it is also possible to develop a FFQ specifically tailored to your study. The methodology includes the following steps:
- The Dutch FFQ-tool generates a food list using data from a large survey, such as the Dutch National Food Consumption Survey.
From this survey, the intake data of the target population are used to select the foods for the new FFQ - These foods are selected based on their contribution to:
o the level of intake of the nutrients of interest: only the most relevant foods are selected
o their contribution to the between person variation of nutrient intake: the foods that differentiate most between the intake of individuals in the population are selected - The contribution to the between person variation, is especially important if you are interested in the association of nutrient intake and a certain (health) outcome measure.
- After the foods have been selected, single foods are aggregated into food items, covered into questions, answer categories are added, and, if relevant, portion size questions are included.
The number of foods that is included in a new FFQ mainly depend on:
- The chosen size of contribution of the selected foods to the intake level or to the explained between person variance in the total diet. If your cut-offs are higher, more foods will be included, and the questionnaire will be longer.
- The desired length of the questionnaire considering the purpose and the population. A full-length FFQ (FQ13) contains 163 food items, covers 95% of energy intake and takes around 30-45 minutes to fill in.
View background information about our dietary assessment tools and a checklist to select the optimal method for your research aim. And fill in the form to create a quote.

Get in touch
Do you have further questions about using the FFQ-tool for your study? Contact our expert:




