Bloating

Bloating in Apple Health records a subjective symptom using severity labels. It is separate from waist circumference, body mass and any measurement of abdominal size or gas volume.

Unspecified is not the same as notPresent. Mild, moderate and severe are subjective labels; the integer codes are not a clinical measurement or a validated pain scale. These values come from Apple’s HKCategoryValueSeverity enumeration.

Meal timestamps can be placed alongside bloating observations when both histories are recorded. Compare logged days and source coverage before describing a pattern. Incomplete food logging, delayed symptom entry and overlapping meals can make a timeline misleading. A repeated coincidence is a question to investigate, not proof of intolerance.

A severity category also does not tell you whether the abdomen visibly changed size. A waist measurement is a separate observation made under its own conditions; it should not be substituted for the perceived symptom.

A timeline with labeled categories is more faithful than a smooth numeric curve. Mild, moderate and severe are subjective ordered labels, not equally spaced measurements. Keep unspecified entries distinct from explicitly notPresent observations, and avoid translating their codes into a numeric bloating score.

This is a logged observation, rather than a regularly sampled sensor reading. Start-to-start gaps describe the saved history and the source’s logging habits. An interval’s length describes what the source saved; it does not by itself establish the symptom’s continuous duration. Record start and end times, source changes and repeated or overlapping entries before interpreting a timeline.

These intervals do not establish continuously measured symptoms or identify a cause. Numeric averages, physiological reference ranges and numeric outlier thresholds do not apply to the category codes.

This HealthKit category is not listed in the current PulsHealth sync catalog. No bloating records were found in the selected database research window; that coverage cannot establish whether corresponding entries exist in Apple Health. Category frequencies, source differences, logging cadence, interval patterns and relationships with other logged observations could not be measured. The absence of records does not establish the absence of the symptom. There is no measured figure or population estimate to infer from this coverage.