Research context

Guides to sleep, recovery and daily habits.

Plain answers to common questions, with the research behind them and a clear line between what a phone can measure and what it cannot.

Start here

Start with the question you have.

Each guide answers a common question, then explains what your own data can show and where the evidence stops.

Sleep calculator

Sleep calculator for midpoint and timing drift

Use this sleep calculator to find your sleep midpoint from bedtime and wake time. daygauge shows your sleep timing against your usual window.

Sleep timing

Social jet lag is what happens when your schedule pulls sleep timing sideways

Social jet lag is the gap between biological timing and social schedules. What it means, how it is calculated and what to try.

Sleep regularity

A sleep regularity score is about timing consistency, not just hours

Sleep regularity looks at how consistent your sleep timing is. This guide explains it and how daygauge shows your sleep timing against your usual window.

Microplastics testing

What microplastics testing can and cannot show

Microplastics testing is emerging and limited. Learn what tests can show and what they cannot prove. daygauge does not test for microplastics.

Microplastics blood test

A microplastics blood test is not the same thing as a personal health forecast

Microplastics blood tests are an emerging research area. This guide explains what the findings mean and why interpretation needs caution.

Choosing an app

The best health data app turns daily signals into decisions

How to choose a health data app for Apple Health: readiness, habits, privacy and comparison with your own average.

Apple Health

The best Apple Health app explains the day behind the charts

A good Apple Health app compares your readings with your own baseline and explains what changed.

Scores

A life score app needs a number people can inspect

How the daygauge Life Index turns Apple Health movement, sleep and recovery into one daily number from 1 to 1000, compared with your own average.

Scores

A good health data app connects passive signals to daily decisions

How sleep, movement, recovery, places and habits fit together in one health data app, without medical claims.

Apple Health

Apple Health insights need baselines, context and confidence

How daygauge reads Apple Health sleep, movement and recovery summaries and compares them with your own average.

Habit analytics

A habit tracker can show what your routines do to your readings

A habit tracker that shows your logged habits next to your sleep, movement and recovery from Apple Health. Your data stays on your iPhone.

Recovery scoring

A recovery score needs sleep, HRV, resting heart rate and your own baseline

How a recovery score can use sleep, HRV and resting heart rate against your own average, and how daygauge's readiness works.

HRV explained

How HRV fits into a readiness score

HRV is most useful when compared with your own baseline, alongside sleep and resting heart rate. This guide explains how daygauge uses it.

Sleep timing

Sleep midpoint can matter even when total sleep looks fine

Sleep midpoint is the halfway point between falling asleep and waking. daygauge shows your sleep timing against your usual window.

Glucose context

A post-meal walk is an easy experiment to run on yourself

What post-meal walks may do for glucose, and how to log yours in daygauge next to your sleep and movement. daygauge does not read glucose data.

Circadian context

Circadian timing is about when you sleep, wake and get light

How sleep timing, time in daylight and routine timing relate to your body clock, and what daygauge shows you.

Sunlight context

Morning light helps your body clock, but UV needs care

How morning light, UV exposure and vitamin D relate to sleep, and what daygauge shows: time in daylight from Apple Health next to your sleep.

Wearable stress

Wearables can show stress proxies. They cannot read your mind

How HRV, resting heart rate and sleep give recovery context, and why daygauge does not diagnose stress or burnout.

Nutrition context

Ultra-processed foods: what they are and how to test your own habits

What ultra-processed foods are, and how to log a related habit in daygauge and see it next to your sleep and movement. No food tracking or guilt.

CGM context

Glucose stability: what CGM shows and what daygauge does not

What glucose stability and CGM time in range mean, and what daygauge can and cannot show about them.

Microplastics

Microplastics are not part of the Life Index

What we know about microplastics and the body. daygauge does not measure microplastics.

Hormone context

Endocrine disruptors: what the research says and what an app cannot tell you

What endocrine disruptors are, what daygauge can and cannot show, and how to log related habits without hormone or fertility guesses.

Sensitive topic

Hair changes need a timeline, not a premature cause label

Hair shedding and hormone searches are common, and a timeline of sleep, stress and habits is more useful than guessing a cause. daygauge does not test hormones or diagnose.

Heat context

Sauna is a useful experiment topic, not a universal prescription

How to treat sauna and heat exposure as a logged experiment and compare it with your own sleep and recovery, without longevity or treatment claims.

Recovery context

Alcohol is one of the clearest personal recovery experiments

How to compare alcohol logs with your sleep, HRV, resting heart rate and next-day movement in daygauge, without the lecture.

Environmental context

Air quality can explain why the same walk does not always feel the same

What air quality can and cannot tell you about sleep and outdoor activity, and how to compare a related habit with your own readings.

Sleep environment

Bedroom CO2 is a possible sleep clue, but it takes a sensor to measure

What bedroom CO2 and ventilation can mean for sleep, and how to compare a ventilation habit with your own sleep and heart readings.

Environmental health

PFAS is a topic to understand, not a number an app can give you

How PFAS shows up in water, cookware and packaging, and how to log a related habit in daygauge without implying personal exposure levels.

Screen timing

The useful screen insight is timing, not blame

How late-evening screen habits can be compared with your sleep timing, without blame or diagnosis.

Meal timing

Fasting is about timing and fit, not willpower

How eating windows and late meals relate to sleep, and how to test a change of your own with a Quick Log habit. Not medical advice.

Nutrition context

Protein and fibre help you feel full. Here is how to test it yourself

What protein and fibre do for fullness, and how to log a related habit in daygauge and see it next to your sleep and movement. No calorie counting.

Cold exposure

Cold exposure works best as a logged experiment

How to treat cold showers and cold plunges as a logged experiment and compare them with your own sleep and heart readings, without treatment or longevity claims.

Sensitive opt-in

Cycle tracking is opt-in, private and free

How cycle tracking in daygauge sits next to your sleep, HRV, wrist temperature and resting heart rate, when you turn it on.

Travel rhythm

Travel breaks routines in ways your wearable rarely explains

How travel shows up in your sleep, movement, daylight and recovery readings in daygauge.

Place patterns

Home days and office days often look different in your data

How to compare home and office days in daygauge, using your places, movement, sleep and recovery readings.

Caffeine timing

Caffeine timing is an easy experiment to run on yourself

How to compare a caffeine cutoff with your sleep timing, sleep duration, HRV and resting heart rate in daygauge.

Supplement context

Supplement tracking should be simple and private

How to keep a simple private log of supplements such as creatine, omega-3, vitamin D and magnesium and compare it with your training and sleep.

Research context only. daygauge does not diagnose, treat, prevent or predict disease risk. Personal medical concerns belong with a qualified clinician.