PFLPhysiological Fitness Landscape

Biomarkers · Autonomic

Heart Rate Variability (SDNN)

Higher values go with lower risk of death. No risk curve catalogued yet.

Published risk of death1.51×lowest quartile vs third quartile of SDNN (pulse rate variability, 5-min) (95% CI 1.15–1.98) · Japanese community residents aged 30-79 recruited 2009-2018, followed to end of 2022

What else moves this marker

They describe those study groups, not an individual, and an association is not a cause.

Diseases and conditions

Each row is one study: what it compared and the change it reported in this marker.
WhatEffect on the markerComparison · populationSource
↓ Anxiety disorders · patients with anxiety disorders vs healthy controls, resting stateSMD -0.3897anxiety disorder patients vs healthy controls · 4897 patients with anxiety disorders and 5559 controls (99 studies)meta analysis · PMID 35340102
↓ Dementia and neurocognitive disorders · patients with dementia vs healthy controls, resting recordingsSMD -0.3059dementia patients vs healthy controls · Patients with dementia or mild cognitive impairment and healthy controls (24 studies)meta analysis · PMID 33287558
↓ Dementia with Lewy bodies · patients with dementia with Lewy bodies vs healthy controlsSMD -1.4154dementia with Lewy bodies vs healthy controls · Patients with dementia with Lewy bodies and healthy controls (subgroup of 24-study meta-analysis)meta analysis · PMID 33287558

Day-to-day noise on a wearable

How much a single day's nightly rmssd from a consumer wearable moves around a person's own level, from months of free-living data in open datasets (proxy: RMSSD is a different HRV index from SDNN). ICC is the share of variation that is between people: near 1, one day tells people apart; near 0, it is mostly noise. The smallest detectable change (95%) is the change a single day, or a 7-day mean, must exceed before it is more than noise. Days to average assumes days are independent; for resting heart rate they are not, so the true number is larger.

Each row is one open dataset: how much a single day's reading varies within a person, and how many days to average.
DatasetPeople · person-daysWithin-person SDICC: one day · 7-day meanDetectable change: one day · 7-day meanDays to average
LifeSnaps39 · 2,42410.60 ms0.75 · 0.9529.39 · 11.1135 for 5.00 ms