Research methods · October 13, 2026
How good are the food questionnaires behind most diet headlines? Across 43 studies, a middling match for calories and a weak one for salt
When a study says people who eat more of something live longer, the 'eat more' usually comes from a tick-box form about the past year. An Italian team pooled 43 studies that checked those forms against what the same people reported eating day by day. The forms were fair at sorting big eaters from small ones and shakier at everything else, and the comparison they were checked against has a catch of its own.

Most of what you read about diet and long-term health starts with a form. It lists a hundred or more foods and asks how often you ate each one over the past months or year: never, once a month, twice a week, every day. Researchers call it a food frequency questionnaire. It is cheap and quick, and it can be sent to a hundred thousand people, which is why the big studies linking foods to heart disease, diabetes or cancer lean on it.
The obvious worry is whether anyone can answer it well. How often did you eat broccoli last year? So each questionnaire is supposed to be tested before use, by giving it to a group of people and comparing the result with a more detailed method. A review published in Food Science & Nutrition on 30 September 2026, from researchers in Catanzaro and Rome, pooled those tests.
They searched three databases for studies from January 2000 to February 2026 and started with 5,247 records. After screening they kept 43 studies with 8,467 healthy adults, all from Europe, North America, Australia or New Zealand. Each study compared a whole-diet questionnaire with one of two yardsticks: interviews about everything eaten in the previous 24 hours (25 studies), or a food diary kept as the person ate (18 studies). The typical questionnaire had 128 items, though they ranged from 16 to 322, and the typical study had 96 people.
The main result is a set of correlations, numbers between 0 and 1 that say how closely two measurements line up. For calories, the questionnaire matched the 24-hour interviews at 0.45 and the food diaries at 0.50. For protein the figures were 0.41 and 0.47, for fat 0.44 and 0.48. Fibre did best of the main nutrients, at about 0.6 against both yardsticks, and carbohydrate came in just above 0.5. The authors call this moderate-to-good.
It helps to know what 0.45 looks like. By our arithmetic, a correlation of that size means the questionnaire accounts for about a fifth of the differences between people on the comparison method. That is enough to do what these forms are mostly used for: splitting a large group into those who eat a lot of something and those who eat little. It is not enough to tell you how many calories or grams any one person ate, and the review says as much. Its conclusion is that the questionnaires are for ranking people.
Vitamins and minerals were less even. Riboflavin and magnesium did well, at 0.54 to 0.63. Sodium, which is what salt is counted as, managed 0.38 against the 24-hour interviews, and 0.17 once the figures were adjusted for how much people ate overall. That makes sense: nobody remembers how much salt went into the pan. Iodine was the weakest at 0.10 against the interviews, with a margin of error that includes zero, though only two studies measured it and a diary comparison gave a very different answer. The authors advise caution about using a general questionnaire to estimate any single vitamin or mineral.
The questionnaires also tended to give bigger numbers. Set against the 24-hour interviews, they came out higher for protein, fat, fibre, vitamin C, vitamin E, magnesium, potassium and sodium, among others. Against food diaries the gaps were smaller and mostly not clear, apart from protein, vitamin B6 and iron. Calories themselves did not differ clearly on either comparison.
Now the catch. Every yardstick here is also a person reporting their own food. Interviews, diaries and questionnaires share some of the same blind spots, such as forgotten snacks and optimistic portion sizes, and when two methods share an error they agree with each other more than either agrees with the truth. The review left out studies that checked questionnaires against blood or urine markers, which do not depend on memory. That is why its title says 'relative validity', and the authors are clear that they measured agreement between methods, not accuracy.
Three more things are worth knowing. The studies disagreed with each other a great deal; for most nutrients, more than three quarters of the spread between results reflected real differences between studies and not chance, so the pooled figures are rough centres, not fixed values. The finding that questionnaires read out by an interviewer did a bit better rests on 6 of the 43 studies. And the summary at the top of the paper says the analysis shows 'digital' questionnaires are reliable, but the paper never says how many of the 43 were digital and none of its five subgroup comparisons sets digital against paper.
None of this is a reason to dismiss diet research. The researchers who run large studies know about these errors and have statistical ways to allow for them, and a pattern that turns up again and again in different populations does not hang on one form. It is a reason to read a single headline with some care. When a study reports that people in the top fifth for a food did better than those in the bottom fifth, the sorting into fifths was done with a tool like this one. It has the broad order about right, the exact amounts wrong, and for some nutrients not much to go on at all.
43 studies (8,467 healthy adults in Europe, North America, Australia and New Zealand) that compared a whole-diet food frequency questionnaire with 24-hour recall interviews or food diaries, pooled
0.45
Pooled correlation for calories between questionnaires and 24-hour recall interviews (31 results); 0.50 against food diaries
0.59
Correlation for fibre against 24-hour recalls, the best of the main nutrients; protein was lowest of them at 0.41
0.17
Correlation for sodium against 24-hour recalls after adjusting for total calories (0.38 before adjusting)
0.10
Correlation for iodine against 24-hour recalls, from 2 results; the margin of error includes zero
6 of 43
Studies where an interviewer asked the questions; the 'interviewers do better' finding rests on these
91%
Share of the spread between studies' calorie results put down to real differences between studies, not chance
Figures are from the open-access paper in Food Science & Nutrition (doi 10.1002/fsn3.72381, published 30 September 2026, CC BY), read in full on PubMed Central: methods, results, Tables 1 to 7, discussion and limitations. We did not read the supplementary tables (S1 to S7), which hold the search strings and the subgroup figures, so no subgroup numbers are given here. Search: PubMed, Web of Science and Scopus, January 2000 to 1 February 2026, English only; 5,247 records, 1,405 duplicates, 177 read in full, 43 included. Included studies: healthy adults, at least 50 participants, whole-diet questionnaires only, validated against 24-hour recalls (25 studies, 4,382 people) or food records (18 studies, 4,085 people) with Pearson or Spearman correlations; studies using biomarkers, single-nutrient questionnaires, patients or pregnant women were excluded. Median sample 96 (range 50 to 632); median age 46.9; 40% men (median); questionnaire items median 128 (16 to 322); 37 self-administered, 6 interviewer-administered; 29 studies from Europe, 11 from North America, 3 from Australia or New Zealand. Crude pooled correlations (95% CI) against 24-hour recalls: energy 0.454 (0.352 to 0.555), carbohydrate 0.519, protein 0.413, fat 0.437, fibre 0.593, riboflavin 0.568, magnesium 0.544, sodium 0.382, iodine 0.103 (-0.037 to 0.243); energy-adjusted sodium 0.172 (0.049 to 0.296). Against food records: energy 0.501 (0.391 to 0.612), carbohydrate 0.521, protein 0.468, fat 0.483, fibre 0.598, riboflavin 0.633, magnesium 0.573, sodium 0.405, iodine 0.223 (-0.282 to 0.727; energy-adjusted 0.618 from 2 results). A study reporting men and women separately counted as two results, so the number of results can exceed the number of studies. Standardised mean differences (questionnaire minus reference) against 24-hour recalls were significantly above zero for protein 0.552, fat 0.381, fibre 0.828, saturated, monounsaturated and polyunsaturated fat, vitamins A, C, E and B6, thiamine, riboflavin, niacin, magnesium, potassium 1.038 and sodium 0.382; not for energy (-0.273, P = 0.52), carbohydrate, vitamin D, folate, B12, calcium or iron. Against food records only protein (0.283), vitamin B6 (0.415) and iron (1.218) were significant. I-squared for energy: 91% (recalls), 89% (records). 'About a fifth' is our calculation (0.454 squared = 0.21) and describes shared variation with the comparison method, not with true intake. The paper reports pooled correlations corrected for day-to-day variation that are often lower than the uncorrected ones; these come from far fewer studies (5 results for energy against 31), so the two sets are not like for like. In Table 1 the study-quality counts add up to 43 overall but to 28 and 15 in the two columns, not 25 and 18. Study quality was scored with the Serra-Majem system: 36 of 43 rated good or very good. Analysis in SPSS; the paper does not report a protocol registration or a test for publication bias. No funding reported; no conflicts of interest declared.
- The questionnaires in this review ranged from 16 food items to 322. The longer ones tended to agree a little better with the comparison method, at the cost of more of the volunteer's time.
- Six in seven of the questionnaires were filled in by the volunteers themselves, with nobody asking the questions.
- A 24-hour recall covers one day, and what people eat swings a lot from day to day, so researchers usually need several recalls per person before they have a fair picture of a usual diet.
- Writing down what you eat as you eat it avoids the memory problem, but the review notes a different one: the effort of keeping a diary can change what people choose to eat while they are keeping it.
- The review covered only Europe, North America, Australia and New Zealand. The authors say this was to keep food databases and methods comparable; it also means the figures say nothing about questionnaires used in Asia, Africa or South America.
- The authors compare their work with an earlier review of 130 studies and 21,494 people from all over the world, which they describe as the largest so far. Narrowing the map to Western countries did not make the disagreement between studies go away.
- The paper carries a note that the authors used ChatGPT to improve the language and readability of the manuscript, and that they checked the result and take responsibility for it.
- Relative validity of food frequency questionnaires in adult populations: a systematic review and meta-analysisFood Science & Nutrition, 30 September 2026 · The study. Open access, read in full
- Full text on PubMed Central (PMC13624932)US National Library of Medicine · Version read for this item, including Tables 1 to 7
- Validity of the food frequency questionnaire for adults in nutritional epidemiological studies: a systematic review and meta-analysisCritical Reviews in Food Science and Nutrition, 2023 (online 2021) · The earlier worldwide review of 130 studies that the authors compare theirs with; figures as quoted in the new paper, we did not read it
- Dealing with dietary measurement error in nutritional cohort studiesJournal of the National Cancer Institute, 2011 · Cited in the review on how questionnaire errors weaken diet and disease findings and how they are handled; we did not read it
- Evaluating the quality of dietary intake validation studiesBritish Journal of Nutrition, 2009 · The scoring system used to rate the 43 studies; we did not read it
- Completing Online Forms: Optimising Form CompletionWikimedia Commons · Image, CC BY 2.0, Zuko.io Images (zuko.io)
General information, not medical advice. This review is about how diet is measured in research; it does not test any food, diet or supplement. A questionnaire or food diary cannot diagnose a deficiency. If you are worried about your intake of a nutrient, speak to a doctor or a registered dietitian, who can look at your diet and order tests where needed.
Analysis by NutroPractic from the sources listed. Written for general readers; it does not replace advice from your own doctor.
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