The Nutrition Dex

Dietary Assessment

Small Portion Error

The relatively elevated percentage error that affects small portions — where a fixed absolute error (in grams or kilocalories) represents a larger fraction of the true value.

By James Oliver · Editor & Publisher ·

Key takeaways

  • Small portions carry proportionally larger percentage errors because the denominator in MAPE is smaller.
  • Scale precision (0.1 g vs 1 g vs 2 g) matters more for small portions than large ones.
  • Garnish, condiment, and dressing portions are the canonical small-portion challenge in logging.
  • User inattention to small portions compounds the instrumental error — small items are often not logged at all.

Small portion error is the disproportionate elevation in percentage estimation error for foods consumed in small quantities. The effect is partly arithmetic — a fixed absolute error on a small reference value is a larger percentage — and partly methodological, because measurement tools are generally specified for typical meal-scale quantities and lose relative accuracy at the low end.

The arithmetic

The MAPE formula divides absolute error by the absolute reference value. A 5-gram weighing error on a 200-gram chicken breast is a 2.5 per cent error; the same 5-gram error on a 25-gram pat of butter is 20 per cent. The scale's specification in grams does not change between measurements, but the methodological implication does. For accurate logging of small items, a higher-precision scale (0.1 g) becomes necessary; for large items, a 1 g scale suffices.

The methodological compound

Three effects compound the arithmetic problem:

  • Scale resolution. A 2 g kitchen scale reporting "15 g" for an actual 14.5 g portion rounds; for small portions, the rounding band (±1 g) is a large fraction of the reading.
  • Tare accuracy. Small portions are often weighed on or in a container. The container's own weight, taring out, has its own precision. If the taring is off by 1 g, a 20 g portion carries a 5 per cent error immediately.
  • User behaviour. Small items — dressings, condiments, oils drizzled over finished dishes, garnishes, sugar in coffee — are often not logged at all. A 2016 observational study of MyFitnessPal users found that condiments and dressings were logged in roughly 40 per cent of restaurant meals where dietitian observation confirmed their presence. Non-logging is a 100 per cent error for that component.

Magnitude across logging modes

  • Kitchen scale, 0.1 g precision: small-portion MAPE 0.5 to 2 per cent (instrument-limited).
  • Kitchen scale, 1 g precision: 5 to 15 per cent for items under 20 g.
  • Measuring spoons without a scale: 10 to 30 per cent, with systematic underestimate bias for viscous items (peanut butter, honey).
  • Visual estimation: 30 to 100 per cent for small portions, approaching total miss for items under 10 g.
  • Photo-based methods: variable by method; small items in images are often below the model's resolution threshold entirely.

The "forgotten condiment" problem

Over a day of moderately-attentive tracking, the accumulated small-portion error is not catastrophic in calorie terms — a typical diet carries 100 to 300 kcal of condiments, dressings, and small additions, and missing half of them produces a 50-to-150 kcal daily underestimate. But the proportional effect on specific nutrients is larger: sodium and added sugars are disproportionately concentrated in small items (a tablespoon of soy sauce is 12 per cent of the FDA sodium DV), so a tracker that under-logs small items will systematically under-report sodium intake while tracking calories reasonably well.

References

  1. Sharp DB, Allman-Farinelli M. "Feasibility and validity of mobile phones to assess dietary intake". Nutrition , 2014 — doi:10.1016/j.nut.2014.03.009.
  2. Kirkpatrick SI, Baranowski T, Subar AF, Tooze JA, Frongillo EA. "Best practices for conducting and interpreting studies to validate self-report dietary assessment methods". Journal of the Academy of Nutrition and Dietetics , 2019 — doi:10.1016/j.jand.2019.06.010.

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