Are there tools (questionnaire or other similar methods) developed that assess diet quality taking into consideration food/meal processing according to NOVA guidelines?
Dietary assessment tools are designed to evaluate an individual's food intake and diet quality, and they can be utilized for both individual and population assessments. According to organizations such as the American Dietetic Association (ADA), the Australian Dietetic Association, the British Dietetic Association, and the World Health Organization (WHO), several dietary assessment tools are available, including
Diet Food Checklist: A tool that helps assess dietary intake.
24-Hour Dietary Assessment Tool: This tool estimates food and nutrient intake over 24 hours.
Food Frequency Questionnaire (FFQ): A method used to evaluate dietary habits.
-Healthy Eating Index (HEI): A tool that assesses overall diet quality and adherence to dietary guidelines.
Rapid Prime Diet Quality Score (RPDQS): A 13-item screening tool that uses a traffic light system and numeric scoring to evaluate diet quality.
five dietary assessment toolkits:
1. The Diet, Anthropometry, and Physical Activity Measurement Toolkit (DAPA; UK)
2. The National Cancer Institute's (NCI) Dietary Assessment Primer (USA)
3. The Nutritools website (UK)
4. The Australasian Child and Adolescent Obesity Research Network (ACAORN) method selector (Australia)
5. The Danone Dietary Assessment Toolkit (DanoneDAT; France)
Yes, there are tools that assess diet quality by considering the level of food/meal processing according to the NOVA classification system. The NOVA system categorizes foods based on the degree and purpose of their processing, with four groups:
Unprocessed or minimally processed foods (e.g., fresh fruits, vegetables, meat).
Here are a few methods and tools that have been developed:
1. NOVA-Based Diet Quality Indices
Some studies have developed NOVA-based indices to measure the overall quality of a diet by looking at the proportion of foods in each category. These indices often use food frequency questionnaires (FFQs) or food diaries to assess individual dietary intake and then classify foods into the NOVA groups.
Example: The NOVA Diet Quality Index (NDQI), developed for large epidemiological studies, quantifies how much ultra-processed food is consumed in relation to whole foods.
2. Food Frequency Questionnaires (FFQs) with NOVA Categories
Some FFQs have been adapted to classify foods according to NOVA. For instance, researchers may modify traditional FFQs to include questions or checkboxes related to the processing level of foods. Respondents would indicate their consumption of foods from each of the NOVA categories, and the responses could be used to assess diet quality.
Example: FFQs adapted for use in countries like Brazil, where NOVA is commonly used in dietary assessments, often have a component that asks about the consumption of ultra-processed foods or specific products that fall into the more processed categories.
3. Dietary Surveys with NOVA Classification
In some national dietary surveys, foods are grouped and analyzed based on the NOVA system. These surveys may rely on a combination of direct food consumption data, interviews, or 24-hour recalls, and then classify foods according to their processing level.
4. NOVA-Based Dietary Patterns
Some researchers have developed tools that assess dietary patterns based on NOVA and its links to health outcomes. These include scoring systems that can assess the relative contribution of unprocessed versus ultra-processed foods to a person’s diet, often using software like DietCalc or Food Processor that can code foods into the NOVA categories.
5. Online Tools and Apps
There are also online platforms and apps being developed to help users assess their diet quality by considering the NOVA guidelines. These may involve users inputting meals, and then the platform will assess how much of their diet is made up of ultra-processed foods versus more whole foods.
While tools like these exist, it's important to note that they often require refinement and validation in different populations to ensure their accuracy.