By PulsHealth. Updated
Research reviewed .
Overview
Pelvic Pain records subjective symptom severity. The category can be used for anyone experiencing pelvic pain; it is not restricted to menstrual pain and does not identify a diagnosis.
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.
Does the category show where or why it hurts?
No. A severity label does not encode the side, exact location, suddenness, duration or circumstances of the pain. Those details matter in a clinical history. Menstrual Flow, Abdominal Cramps or Bladder Incontinence may supply separately recorded context, but do not determine the cause.
NHS guidance recommends emergency help for severe or worsening pelvic pain, especially with fainting, breathing difficulty or heavy vaginal bleeding. Pelvic pain during a possible pregnancy also needs urgent medical advice. Recording the symptom should not delay getting help.
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.