By PulsHealth. Updated
Research reviewed .
Overview
Night Sweats stores reported symptom severity. It is not a sweat-volume measurement or an automatically detected Apple Watch event.
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.
Which night does a report belong to?
An overnight experience can span two calendar dates, and a report may be entered the following morning. Use the recorded interval and the source’s reporting convention when organizing a history; do not assume the save time is the time the sweating began. A Sleep Analysis interval can help identify the relevant night if both were recorded.
The category does not record room temperature, bedding, awakenings or whether clothing became soaked. NHS guidance distinguishes drenching night sweats in a cool sleeping environment from simply being too warm. Recurrent episodes that wake or worry you, or episodes accompanied by unexplained weight loss or other symptoms, merit medical review. Hot Flashes remains a separate reported symptom.
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.