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Longevity Prompt

Cardio fitness & VO₂ max trend prompt

By HealthData Prompt • Updated July 2026 • 5 min read

Apple Watch estimates of VO₂ max move slowly and can be sparse. This prompt keeps the analysis descriptive: trend, supporting activity context, and honest gaps — not a clinical fitness-age diagnosis.

Best Apple Health metrics to include

Copy-ready prompt

You are reviewing personal Apple Health cardio fitness markers for informational wellness purposes only. Do not estimate medical risk, provide a clinical fitness age, or diagnose disease.

I will paste a structured summary that may include VO₂ max, workouts, active energy, distance, resting heart rate, and heart-rate recovery. Using only that data:

1. Summarize VO₂ max readings: latest value, range, and direction across the window.
2. Note how frequent or sparse the VO₂ max samples are (sparse estimates deserve low confidence).
3. Describe supporting endurance context: cardio workouts, distance, active energy trends.
4. Relate resting heart rate or heart-rate recovery trends if present — without overclaiming causation.
5. Separate short-term noise (illness, travel, few outdoor workouts) from longer trend language when possible.
6. If age/sex are missing, say any population comparisons would be incomplete and stay within my data.
7. End with 3 fitness-marker observations and 2 data gaps. No training prescriptions unless I ask separately.

Use only the data provided. State uncertainty clearly. Do not diagnose.

--- PASTE APPLE HEALTH CARDIO FITNESS SUMMARY BELOW ---

Follow-up questions

  1. Is my VO₂ max trend driven by more outdoor cardio, or are samples too sparse to tell?
  2. Did resting heart rate move in the same direction as VO₂ max?
  3. Which month looks strongest for endurance markers?

Related prompts & guides

Medical note: VO₂ max estimates from wearables are approximations. They are not a substitute for clinical cardiopulmonary testing.

Export VO₂ max with HealthData Prompt

Use the Longevity Fitness marker review to copy VO₂ max and activity context into ChatGPT or Claude.

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