GLOSSARY

Nutritional Assessment An integrated evaluation of dietary, clinical, physical, biochemical and contextual information to identify nutrition-related needs.

Choose a dietary assessment method according to the question, population and resources. A recent intake record can explore meal timing around training; a frequency questionnaire can describe longer-term patterns. Neither automatically establishes exact habitual intake. Combine food details with training, access, symptoms, medication and relevant measurements. Explain uncertainties and what the method cannot answer. Good assessment produces a decision that can be reviewed, rather than an impressive nutrient report whose apparent precision exceeds the quality of the information collected.

Usual intake describes a longer-term average rather than the intake of one isolated day. Day-to-day variation includes real differences between training, rest and competition days as well as measurement noise. Repeated observations should cover relevant conditions and be collected with a suitable method. Averaging a few unusual days can still give a misleading estimate. For the athlete, preserve useful information about distribution and timing: an acceptable weekly energy average can coexist with repeated underfueling around demanding sessions.

For example, an athlete asking about fatigue may need a dietary interview, training review and appropriate clinical assessment rather than only a nutrient calculation. State the question and select the information that can answer it. Explain which conclusions are supported and which remain uncertain before agreeing on a practical next step.

Accuracy concerns closeness to an appropriate reference, while precision concerns repeatability; consistent measurements can still be systematically wrong. Validity asks whether a method supports its intended interpretation, and reliability asks how consistently it performs. Reporting error can reflect memory, burden, food omission or social pressure. An implausible estimate should prompt review rather than an accusation. Calibration may reduce specific errors under defined assumptions, but it does not turn every self-report into an exact measurement of an athlete's habitual intake.

Food composition analysis depends on matching the reported food to an appropriate database entry. Variety, brand, fortification, preparation and raw-versus-cooked weight can change the match. Missing data do not necessarily mean that a nutrient is absent. Recipes require ingredient amounts, edible yields and suitable retention assumptions. Record the database and version when comparability matters. A detailed software output remains an estimate; checking the food match and units can be more valuable than reporting many decimal places from uncertain intake data.

Nutrient status reflects intake, absorption, distribution, stores, losses and physiological demand. A normal blood concentration may not exclude depleted stores, while an abnormal result can have non-nutritional causes. Calcium in blood, for example, does not directly measure dietary calcium adequacy or skeletal reserves. Different nutrients require different assessment strategies. Select tests for a defined clinical question and interpret them with symptoms, diet, relevant disease and sampling conditions instead of ordering a broad panel and assuming every number is a performance target.

A nutrition care record should explain the assessment, interpretation, agreed plan, responsible professionals and follow-up criteria. Separate reported information from measured findings and clinical judgments. Record relevant units, dates, methods and changes so that another practitioner can understand the decision. Seek consent for sharing sensitive information and limit access appropriately. A referral should communicate the specific concern and urgency rather than only a broad label. In sport, documentation should support continuity of care while protecting health information from inappropriate use in coaching or selection.