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your metrics, explained
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๐Ÿ”ฎ Readiness๐Ÿซ€ Cardio age๐Ÿ”‹ Energyโค๏ธ Resting heart rate๐Ÿ“ˆ Heart rate variability (HRV)๐Ÿซ€ Cardio fitness (VO2max)๐Ÿ˜ด Sleep score (vs. Google's numbers)๐Ÿงฉ Sleep quality breakdown๐ŸŒ™ Sleep: stages & efficiency๐Ÿซ Overnight SpO2๐Ÿซ Nightly respiratory rate๐ŸŒก๏ธ Skin temperature variation๐Ÿ’“ Detected episodes, activities & routines๐Ÿง‰ Why log caffeine, alcohol & food

๐Ÿ”ฎ Readiness

What it is
Aire's composite score (1โ€“100) of how prepared your body is for strain today, from three pillars: HRV, resting heart rate, and recent sleep. It's relative by design โ€” it compares you to you, never to other people.
Exactly how it's calculated
readiness = 62 + 11ยทHRV โˆ’ 12ยทRHR + 15ยทsleep
ยท HRV: your HRV trend vs baseline, in units of your own night-to-night variability. A single wrist reading is noisy, so it's smoothed into a trend โ€” and last night is trusted only as far as your resting heart rate agrees with it: genuine recovery shows higher HRV AND lower resting HR together, so a lone HRV blip barely counts, but a corroborated one moves the score
ยท RHR: last night's resting HR vs baseline, in the same personal-variability units (a steadier, harder-to-fool signal, so one night counts)
ยท sleep: a blend of last night and your past week, quality-aware โ€” one short night only lightly dents it
Small deviations are treated as noise and ignored (the "smallest worthwhile change").
Why it matters
No single metric captures recovery, and no single night is reliable on its own โ€” wrist HRV swings ~30% night to night and its errors tend to inflate it. So readiness judges each pillar against your own baseline AND your own variability (not a raw percentage), smooths HRV into a trend, and reacts to a single night's HRV only when your resting heart rate corroborates it (the two move together for real recovery or real strain). It leans on recent sleep, the best-evidenced lever. If you wear more than one device, HRV is baselined per device โ€” an Apple Watch (SDNN) and a Fitbit (RMSSD) measure HRV differently, so they're never mixed into one baseline. It compresses all this into one glanceable number and drives the orb's color.
Typical values
68+ (Primed): well recovered โ€” a good day for hard training. 38โ€“67 (Steady): a normal day, train as planned. Below 38 (Recover): several signals point to incomplete recovery. Needs ~5 nights of history before it appears at all โ€” before that, any score would be statistical noise. These bands sit close to the Google Health app's own readiness (High 65+, Moderate 30โ€“64), so the two numbers are broadly comparable, though the underlying baselines differ.
How to improve it
  • Don't chase the number โ€” improve its inputs: consistent sleep, and the habits that lift HRV and lower resting HR over weeks.
  • Respect low scores occasionally: an easy day when readiness tanks often buys back two good ones.
  • A single low night barely moves it by design โ€” a sustained dip across several days is the real signal. Look for repeat offenders in your logs: late caffeine, alcohol, late meals, under-sleeping.

๐Ÿซ€ Cardio age

What it is
Where your estimated cardiorespiratory fitness (VOโ‚‚max) sits compared to typical values for people your age and sex โ€” it answers "am I fit, average, or behind for my age?" It's a fitness snapshot, not a biological-age or longevity clock, and it's not a medical test.
Exactly how it's calculated
We take your wearable's estimated VOโ‚‚max (its cardio-fitness number), smooth it over a couple of weeks, and find the age at which that value is typical, using published ageร—sex norm tables. That age is your cardio age.
ยท Resting heart rate and HRV can nudge it by a year or two (a low resting HR reads younger); the nudge is capped so noise can't swing it.
ยท Sleep and steps are shown as context but never fed into the number โ€” that would double-count.
ยท If we don't know your sex, we compute both norms and only call you "ahead" or "behind" when it holds either way, otherwise "on track". Set your birth year and sex in Settings for a precise number.
Why it matters
VOโ‚‚max is the best-validated marker of cardiorespiratory fitness and one of the strongest predictors of long-term health, and "fitness age" is a published construct (NTNU/HUNT). We lead with a band, not a precise number, because a wrist VOโ‚‚max estimate carries real error โ€” worth several "years" โ€” so a bare age would imply false precision. It is NOT an epigenetic/biological-age clock and predicts nothing about you as an individual; the norms are population averages.
Typical values
Ahead of your age: cardio fitness well above typical for your age. On track: about typical. Room to build: below typical โ€” which is also the most improvable signal here, since VOโ‚‚max responds strongly to training. Needs your birth year (and, ideally, sex) set to place you against your age.
How to improve it
  • Easy "zone 2" cardio (conversational pace) a few times a week is the biggest lever on VOโ‚‚max.
  • Occasional higher-intensity intervals raise the ceiling faster.
  • It moves slowly โ€” think weeks and months, not day to day.
  • Treat it as a fitness estimate, not a verdict: wrist-derived VOโ‚‚max is approximate, and this is not a biological-age or longevity measure.

๐Ÿ”‹ Energy

What it is
Your live "body battery" (0โ€“100) for the day. Where readiness is a snapshot of how you woke up, Energy is how that fuel gets spent and topped up as the day goes: it starts at your morning recovery, drains as you exert yourself, and charges back when you rest.
Exactly how it's calculated
Energy starts the day at your readiness score, then every 5 minutes:
ยท drains gently just from being awake, and faster when your heart rate climbs well above resting (your effort/stress proxy)
ยท charges a little when your heart rate is low and you're genuinely at rest (a nap recovers more)
ยท a logged coffee or mate adds a small, temporary "alertness" lift that fades over a few hours
Only real overnight sleep refills it to full โ€” that's tomorrow's fresh start.
Why it matters
One number can't tell you both how recovered you are AND how much you have left right now. Readiness answers the first at wake; Energy tracks the second all day, so an afternoon glance tells you whether to push or ease off. Honesty note: unlike Garmin's Body Battery, the Fitbit Air gives Aire only one nightly HRV reading, not continuous all-day HRV โ€” so Energy uses heart-rate-above-resting as its exertion/stress signal, not live HRV. It's a good proxy, not a clinical stress measure.
Typical values
70+ (Charged): plenty in the tank โ€” a fine time for something demanding. 40โ€“69 (Steady): a normal mid-day level; pace yourself. Below 40 (Running low): you've spent a lot or recovered poorly โ€” favour lighter effort and rest. It needs today's intraday heart rate to appear, so it shows up a little after you wake and start moving.
How to improve it
  • Protect the start: Energy begins at your readiness, so the real lever is sleep and recovery, not the gauge itself.
  • Spend it deliberately โ€” a hard session is *supposed* to drain it; that's the point, not a failure.
  • Genuine rest (a real sit-down, a short nap) charges it back; scrolling while your heart rate stays up doesn't.
  • Caffeine's lift is borrowed alertness, not recovery โ€” the gauge shows it as a small, fading bump on purpose.

โค๏ธ Resting heart rate

What it is
Your heart's beats per minute at complete rest โ€” the Fitbit Air derives it from your sleep, which is why it updates each morning.
Why it matters
It's one of the most robust everyday markers of cardiovascular fitness and acute stress. A fitter heart pumps more blood per beat, so it needs fewer beats. Day-to-day, it's an early-warning channel: it rises with alcohol, dehydration, illness (often before symptoms), heat, and psychological stress.
Typical values
Most healthy adults: 60โ€“100 bpm. Regular exercisers: commonly 50โ€“70. Elite endurance athletes: 40s. More useful than any absolute range: your own baseline ยฑ3 bpm โ€” a sustained rise of 5โ€“10 bpm above it is a strong "something's up" signal. This is evidence-based, not folklore: in a 3,300-person study a rise of โ‰ฅ4 bpm over your personal baseline for two nights running flagged an infection a median of ~3 days before symptoms, and the typical illness bump was around +7 bpm.
How to improve it
  • Consistent aerobic exercise (zone 2 especially) lowers it over months โ€” the classic training adaptation.
  • Alcohol is the most reliable way to spike it overnight; hydration and cool bedrooms help it fall.
  • Track the trend after illness โ€” it returning to baseline is a decent "fully recovered" indicator.

๐Ÿ“ˆ Heart rate variability (HRV)

What it is
The tiny variations in time between heartbeats, measured in milliseconds. The Fitbit Air reports nightly RMSSD; an Apple Watch reports SDNN, a different HRV measure โ€” so if you wear both, Aire compares each against its own history rather than mixing them. Counter-intuitively, more variability is better: it means your parasympathetic ("rest and digest") nervous system is active and flexible.
Why it matters
HRV is the closest thing wearables have to a recovery gauge. When your body is coping โ€” with training load, stress, illness, alcohol โ€” the sympathetic system dominates, the heart beats more metronomically, and HRV drops. High HRV days correlate with better training response and cognitive performance.
Typical values
Absolute values are almost meaningless between people โ€” 20โ€“70 ms is all common territory for adults 25โ€“45, and genetics dominate. What matters: your own 30-day baseline. Above it = well recovered. 15โ€“25% below it = ease up. Chronically declining across weeks = accumulating stress of some kind.
How to improve it
  • Sleep is the #1 lever โ€” both duration and regularity of bed/wake times.
  • Alcohol is the #1 destroyer: even two drinks measurably suppress HRV for a night or two.
  • Zone-2 cardio, breathing exercises (slow exhale-biased breathing), and managing late-evening caffeine all show measurable effects.
  • Don't judge single days โ€” react to 3โ€“5 day trends vs baseline.

๐Ÿซ€ Cardio fitness (VO2max)

What it is
VO2max estimates how much oxygen your body can use at peak effort, in ml/kg/min โ€” the single best number for cardiovascular fitness. The Air estimates it from the relationship between your heart rate and pace during activity, and rates it (poor / fair / good / excellent). Yours updates as you move.
Why it matters
This may be the most important long-term number Aire shows. In a cohort of 122,000 people whose fitness was measured on a lab treadmill, cardio fitness was associated with death from any cause in an inverse way that had NO ceiling โ€” the fittest group had roughly 80% lower mortality than the least fit, and more fitness kept tracking with lower risk all the way up. That's an association, not a personal guarantee (and it was measured in a lab, not on a wrist), but it's one of the most consistent findings in the field. Unlike a resting metric, cardio fitness responds to training over months โ€” so it's one of the few numbers here whose trend you can genuinely move.
Typical values
Absolute values are age- and sex-dependent; the Air's poor/fair/good/excellent rating already adjusts for that, so read the label and โ€” more importantly โ€” the direction. Rising is good at any level; a sustained drop is worth attention. One caveat: wrist-estimated VO2max is a rougher estimate than a lab test, so trust the trend over the exact number.
How to improve it
  • Zone-2 cardio (conversational pace, 30โ€“45 min) done consistently is the classic VO2max builder; add occasional harder intervals once it's a habit.
  • It moves on a scale of weeks to months, not days โ€” don't read single-day wiggles as change.
  • Because there's no ceiling in the mortality data, going from 'fair' to 'good' is worth it even if you'll never be 'excellent'.

๐Ÿ˜ด Sleep score (vs. Google's numbers)

What it is
THREE different numbers can describe the same night. (1) Efficiency โ€” time asleep รท time in bed โ€” measures how little of the night you spent awake; most decent nights land above 90%. (2) The Google Health app's own sleep score (0โ€“100) is a proprietary blend of duration, quality and restoration โ€” Google does not expose it through the Health API, so Aire cannot show or match it; expect it to differ from ours by a few points. (3) Aire's score, shown here, is an open composite of the three things that actually make a night good: how long you slept, how much of it was restorative (deep+REM), and how unbroken it was.
Exactly how it's calculated
duration    d = full across 7โ€“9h asleep, tapering outside it
restorative r = min(1, (deep+REM) รท asleep รท 0.40) โ€” vs a 40% ideal
continuity  c = (efficiency โˆ’ 60) รท 35, clamped 0โ€“1

score = 95 ร— (0.5ยทd + 0.3ยทr + 0.2ยทc)ยฒ      (min 15, max 95)

Duration is credited on a curve, not a hard 8h target: the clinical guideline is "7+ hours", so anything 7โ€“9h earns full duration credit, 6โ€“7h costs a little, and it falls off faster below 5h. This stops a short-but-efficient night from being scored as harshly as a genuinely poor one.

worked example โ€” a real short night:
  asleep 5h38 โ†’ d 0.81 (below the 7h band) ยท efficiency 97% โ†’ c 1.0
  deep 1h02 + REM 1h07 = 38% restorative โ†’ r 0.95
  base = 0.5ร—0.81 + 0.3ร—0.95 + 0.2ร—1.0 = 0.89 โ†’ 95 ร— 0.89ยฒ โ‰ˆ 76
Why it matters
Efficiency saturates: most decent nights land at 90%+, so it can't tell a physically restorative night from a light, fragmented one. Duration is the dominant factor by design โ€” sleep science is unambiguous that total sleep time matters most โ€” with architecture and continuity refining it. The square keeps 90+ rare: every component has to be strong at once. Aire publishes the formula verbatim (this is v2 โ€” it will keep being tuned) instead of imitating Google's black box: you can verify every point against your own stage minutes.
Typical values
85+ : a genuinely complete night โ€” long, restorative AND unbroken. 70โ€“84: solid, typical territory. 55โ€“69: something gave โ€” usually duration. Below 55: a short or heavily fragmented night. The cap is 95 on purpose: no wearable estimate deserves a 100.
How to improve it
  • Duration is half the score โ€” the biggest lever is protecting a 7h+ window; past 7h the gains flatten.
  • The restorative share responds to the usual levers: regular schedule, no late alcohol, caffeine early only.
  • REM concentrates in the final cycles, so cutting a night short cuts the restorative share too โ€” the components compound.
  • Compare against efficiency: long night + low score = architecture problem; high efficiency + low score = too short.

๐Ÿงฉ Sleep quality breakdown

What it is
The Google Health app shows a Sleep-quality panel โ€” Time to sound sleep, Interruptions, Full awakenings, Restlessness. Those numbers are computed inside Fitbit and are NOT returned by the Health API, so Aire can't display Google's exact values. Instead it derives its own transparent equivalents from the one thing the API does give: the timed sleep-stage segments (awake / light / deep / REM through the night).
Exactly how it's calculated
fell asleep in  = minutes from getting into bed to the first sleep stage
awakenings      = distinct awake periods AFTER onset, excluding the final wake-up
awake after onset = total minutes of those interruptions (WASO)
restorative     = deep + REM minutes combined
longest stretch = the single longest unbroken run of any sleep stage
Why it matters
These capture the two things that make a night feel restful: how consolidated it was (few awakenings, long unbroken stretches) and how restorative (deep + REM share). A fragmented night with the same total sleep time recovers you less โ€” which is exactly what the awakenings and longest-stretch numbers expose that a single duration figure hides.
Typical values
Falling asleep in under ~20 min is typical; over 30 regularly can signal a wind-down or schedule issue. Healthy adults wake briefly a few times a night โ€” most are so short you don't remember them, so a handful of awakenings is normal, not alarming. Because the definitions are Aire's own, expect these to differ by a few minutes or one count from Google's panel; the trend in your own numbers is what matters.
How to improve it
  • Consolidation responds to the basics: consistent bed/wake times, a cool dark room, no late alcohol (it fragments the second half of the night).
  • A long 'fell asleep in' plus early awakenings often points at caffeine or screen time too close to bed โ€” log them and watch your own pattern.
  • Judge the weekly shape, not one night: everyone has the occasional broken night.

๐ŸŒ™ Sleep: stages & efficiency

What it is
The Air splits each night into Awake, Light, REM, and Deep (slow-wave) sleep. Efficiency = time asleep รท time in bed. The hypnogram on the Sleep page shows the architecture: deep concentrates early in the night, REM grows toward morning.
Why it matters
Deep sleep drives physical restoration โ€” tissue repair, immune function, growth hormone release. REM handles memory consolidation and emotional processing. You can be in bed 8 hours and recover poorly if the architecture is fragmented โ€” which is exactly what alcohol and late caffeine do.
Typical values
Adults typically need 7โ€“9 h. Deep: ~13โ€“23% of the night (60โ€“110 min); REM: ~20โ€“25%. Efficiency โ‰ฅ85% is good, โ‰ฅ95% excellent. One bad night means little โ€” the weekly pattern is the signal.
How to improve it
  • Regularity beats duration: same bedtime ยฑ30 min moves every downstream metric.
  • Caffeine has a ~5โ€“6 h half-life โ€” a 6pm mate is still ~half-active at midnight. Log it and watch your own correlation.
  • Alcohol near bedtime suppresses REM in the first half and fragments the second half โ€” visible in your hypnogram the next morning.
  • Cool, dark room; consistent wind-down; no doomscrolling in bed (light + arousal both delay deep sleep).

๐Ÿซ Overnight SpO2

What it is
Blood-oxygen saturation while you sleep โ€” the percentage of hemoglobin carrying oxygen, sampled through the night.
Why it matters
Sustained dips can indicate breathing disturbances during sleep (from congestion to sleep apnea). Combined with restless sleep and morning grogginess, it's a pattern worth knowing about โ€” apnea is dramatically underdiagnosed.
Typical values
95โ€“100% is normal. Brief dips are common and fine (position, sensor contact). Averages persistently below ~92โ€“94%, or frequent deep dips, merit a conversation with a doctor โ€” especially with snoring or daytime sleepiness.
How to improve it
  • Side-sleeping reduces positional breathing disturbances for many people.
  • Alcohol before bed relaxes airway muscles โ€” a common cause of worse overnight SpO2.
  • Treat congestion; consider a professional sleep study if lows persist โ€” this one is a signal to escalate, not self-optimize.

๐Ÿซ Nightly respiratory rate

What it is
How many breaths you take per minute while asleep, averaged over the night. It's one of the most stable personal metrics there is โ€” your own night-to-night variation is normally under ยฑ1 breath/min, which is exactly what makes deviations informative.
Why it matters
For someone with asthma, nightly breathing rate is one of the more useful numbers the Air produces โ€” but as a TREND, not a single-night verdict. Consumer wrist wearables measure overnight-average respiratory rate to within about 1 breath/min (validation studies), yet the same studies caution they can't reliably catch day-to-day wiggles. So what matters is a sustained drift above your own baseline, ideally read alongside your inhaler log: "I've used salbutamol more this week AND my nightly breathing is up" is a real pattern; one odd night isn't.
Typical values
Healthy adults at rest: 12โ€“20 breaths/min; asleep typically 12โ€“16. Your own baseline beats any absolute range โ€” a sustained rise of โ‰ฅ1โ€“2 breaths/min above it is what's meaningful. The most evidence-backed asthma signal isn't this number at all, though: it's how often you reach for the rescue inhaler (see below).
How to improve it
  • Log every rescue-inhaler puff (๐Ÿ’จ on the quick-log strip). International asthma guidance (GINA) treats needing a reliever more than twice a week as a sign of poorer control, and steadily rising use as a reason to see your doctor โ€” frequency over time is the single best self-tracking signal, far more validated than any wearable vital.
  • Cold-air mitigation has real trial evidence: pre-warming the air you breathe with a scarf or heat-exchange mask before going out in the cold cut airway narrowing about as well as a pre-emptive puff of albuterol in studies โ€” directly relevant to warm-home-to-cold-street winter swings.
  • Indoor air: the strong evidence is about avoiding damp and mould (clearly linked to asthma), not chasing humidity โ€” keep it moderate (~40โ€“50%), not aggressively humid.
  • This is a watch-and-discuss metric: consumer overnight SpO2 in particular is unreliable on the wrist, so bring the trends to a doctor rather than acting on a single reading or adjusting medication yourself.

๐ŸŒก๏ธ Skin temperature variation

What it is
How much your nightly skin temperature deviated from your personal baseline, in ยฐC. The Air builds the baseline from your own nights (Aire needs ~3 before showing a value), so the number is always relative โ€” ยฑ0.0 means "your normal".
Why it matters
Core and skin temperature follow tight circadian rhythms. Deviations often precede or accompany: oncoming illness (usually elevated), alcohol (elevated), overtraining, hormonal cycle phases, or just a hot room. It's a context signal that makes the other metrics interpretable.
Typical values
Within ยฑ0.5ยฐC: normal night-to-night noise. Beyond ยฑ1.0ยฐC, especially alongside elevated resting HR and suppressed HRV: your body is fighting something โ€” infection, alcohol, or heavy strain.
How to improve it
  • There's no "improving" temperature โ€” it's a messenger. Keep the bedroom cool and consistent so the signal stays clean.
  • When it spikes with a high RHR: hydrate, skip intensity, and watch for symptoms.

๐Ÿ’“ Detected episodes, activities & routines

What it is
Aire scans your day's 5-minute heart-rate and step windows for spans where something clearly happened โ€” an HR spike without steps (playing with the dog), a sustained walk, a workout. Detection is pure math on your own data: no AI, nothing invented. Each detected episode appears as a suggestion card; one tap names it, which both logs the activity and teaches Aire your patterns.
Exactly how it's calculated
baseline  = median HR of your awake 5-min windows
episode   = โ‰ฅ2 consecutive windows above max(baseline+15, baselineร—1.22)
            (single quiet windows in between are bridged)
walk      = โ‰ฅ15 min at โ‰ฅ60 steps/min, merged into overlapping episodes
suggestion rank = frequency prior ร— hour-of-day match ร— duration match
                  ร— HR match ร— step-density match  (from your history)
Why it matters
Manually logging every activity is the friction that kills tracking habits. Detection flips it: the watch notices, you just confirm. Every confirmation updates that activity's learned profile (typical hour, duration, HR shape, step density), so suggestions get sharper โ€” and the same profiles read in reverse become routines: "you usually play with the dog around 17:00 โ€” nothing detected today".
Typical values
Mixed outings are first-class: an episode with steady walking stretches AND an intense burst can be split โ€” "walk the dog" on the steady parts, "played with dog" on the burst โ€” two logs, one episode, each learning from its own slice. Routines appear only after ~5 confirmations of an activity; before that Aire stays quiet rather than guessing.
How to improve it
  • Label honestly and early โ€” the first ~5 confirmations do most of the teaching.
  • Use "split walk + burstโ€ฆ" on mixed outings so each activity learns its true HR/steps signature.
  • Dismiss what isn't an activity (stress spike, hot shower) โ€” dismissals prevent bad suggestions later.
  • Deleting an activity log puts its episode back up for labeling; the learned profile keeps history.

๐Ÿง‰ Why log caffeine, alcohol & food

What it is
The Air measures what your body does; your logs record what you did to it. Aire correlates the two: every mate, coffee, beer, or meal becomes a labeled event next to that night's sleep and next morning's HRV.
Why it matters
Generic advice says "caffeine hurts sleep". Your data can say "mate after 18:00 costs you ~20 minutes of deep sleep" โ€” yours, measured. Alcohol is the single most measurable input: it typically raises overnight heart rate, suppresses HRV and REM, and elevates skin temperature โ€” all in one night.
Typical values
There are no ranges here โ€” just cause and effect emerging after a few weeks of honest logging. The more you log, the sharper the insight engine's answers get.
How to improve it
  • One tap at the moment of consumption beats reconstructing the day later.
  • Log the misses too (the late espresso, the third beer) โ€” the "bad" data points are the informative ones.
  • Use ๏ผ‹ Custom to backfill anything you forgot โ€” timestamps matter more than completeness.

General educational content, not medical advice. Wearable metrics are estimates; for health concerns, talk to a professional.