By PulsHealth. Updated
Research reviewed .
Overview
Hair Loss is a reported symptom severity, rather than a hair count, scalp image analysis or measurement of hair growth. The category does not identify the cause of hair loss.
What do the saved values mean?
| Code | Label | Meaning |
|---|---|---|
| 0 | unspecified | Severity was not specified |
| 1 | notPresent | Symptom was explicitly reported absent |
| 2 | mild | Subjectively mild severity |
| 3 | moderate | Subjectively moderate severity |
| 4 | severe | Subjectively severe severity |
Unspecified is not notPresent. The mild, moderate and severe labels reflect the report; their integer codes are not a calibrated clinical scale and should not be averaged as measurements.
Why do longer-term notes matter for hair loss?
The value does not distinguish shedding, a widening part, discrete patches or breakage, and it does not record which body area is affected. Notes or consistently taken photographs kept separately can preserve changes that a severity label cannot express.
Hair changes do not always follow an event immediately. The American Academy of Dermatology describes increased shedding appearing months after childbirth, illness or another stressor. A same-day comparison with another recorded event can miss this timing nuance and would not identify a cause. Dry Skin is a separate symptom, not evidence of a shared condition.
How should a recorded history be read?
Entries follow the source’s logging behavior, with no fixed sensor sampling interval. Missing dates mean no available report, rather than an explicit negative observation. A saved interval need not describe a continuous episode, and overlapping records from different sources should be reviewed before counting reports or days.
Is this type available in PulsHealth?
This HealthKit type is not listed in the current PulsHealth sync catalog. The selected database review contained no corresponding records; that does not establish whether entries exist in Apple Health. No example distribution or logging cadence could be measured.
Understanding your records
Recording frequency, source and coverage affect what you can conclude from this data. Read the recording guide.