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How it works

Monthly Health Report: How It Is Built

See how valid monthly sleep, steps, recovery, stress, and activity data become trend cards without hiding missing-day coverage.

A month can look better or worse depending on which days had data. A trustworthy audit has to show coverage beside the trend.

Body Insights groups each supported metric into the calendar month, calculates its own valid-day or valid-night summary, compares the result with prior context, and selects the clearest changes for the report.

What does monthly health report mean?

The audit is a collection of metric-specific monthly summaries, not one hidden overall health grade.

The useful question is not whether one reading is perfect. It is whether the same signal keeps moving in a way that matches your sleep, symptoms, activity, and recovery. Body Insights keeps the underlying rows visible so the headline never has to stand alone.

What goes into the calculation?

Body Insights reads the available inputs from Apple Health and the app's own history. It does not create missing wearable measurements.

Each metric keeps its own denominator and aggregation rule before the report orders notable changes. The step average uses days with a positive total recorded in Apple Health and reports the number of covered step days; zero or missing days are not included in that average.

What happens when data is missing?

Sparse months remain sparse. For steps, the report shows covered days so an average based on sparse recorded days is not presented as a complete calendar-month average.

This matters because "not measured" is not the same as "bad." A watch charging overnight, an incomplete Health permission, or a short history can reduce what the calculation knows without saying anything negative about your body.

What can change the result?

Late Health syncs, corrected samples, month length, travel, device coverage, and the selected comparison period can change a monthly result.

If a result looks surprising, check the input rows first. A single missing night, unusual workout, illness, medication change, travel day, or sensor gap can explain more than the headline number.

What can this calculation not tell you?

A monthly trend cannot explain cause or replace clinical follow-up. Aggregation can hide short but important episodes.

Body Insights is a pattern-reading tool, not a diagnostic device. Bring persistent, severe, or worrying changes to a qualified clinician, especially when the number and how you feel disagree for several days.

Read the reason, not only the number

Open the card with the strongest change and check its coverage and daily pattern. The monthly headline is the start of the question.

Body Insights reads data that Apple Watch and compatible devices place in Apple Health. The purpose of this page is to make that translation inspectable without publishing gameable score weights or pretending a wearable estimate is a clinical test.

Sources and evidence notes

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