Log height, weight, blood pressure, blood glucose, sleep, and resting heart rate for every family member — then read the trends and correlations with honest caveats.
Optional fields can stay blank. Blood pressure needs both numbers; everything is stored locally.
Add a member or load the sample family, then log a day. The summary shows averages, trends, and screening ranges — not a diagnosis.
This tracker records and summarizes measurements; it does not diagnose or treat any condition. Reference ranges are screening bands, not diagnoses, and children or pregnant people need different interpretation. Home devices vary — confirm abnormal readings with a clinician, and never change medication based on this page. If you may be having a medical emergency, call emergency services.
A single reading is noisy: blood pressure moves with caffeine, stress, a full bladder, and how long you sat still. The tracker stores every entry in one set of units, then works on a per-member series. It averages the last seven days, fits a least-squares line through the last thirty days of weight, and pairs same-day measurements to compute Pearson correlations. Each layer is deliberately conservative — blood pressure and glucose averages wait for repeat readings, correlations need at least 7 paired days, and the page labels them as patterns rather than causes.
Each family member gets their own series. Averages and slopes describe that member's log; correlations only describe how two measurements moved together on days when both were recorded.
Pearson r runs from −1 to +1. Values near 0 mean no straight-line association; ±0.4 is moderate and ±0.7 is strong in this page’s labels. Consecutive daily measurements are correlated with themselves, so even a formal p-value would be optimistic. The tracker shows r and the number of paired days, never a causal claim.
Over 14 days, a log has nine days with both sleep and systolic pressure recorded. Sleep ranged from 6.0 to 7.7 hours; systolic from 124 to 136 mmHg. The paired calculation gives r = −0.61.
| Category | Systolic (mmHg) | Diastolic (mmHg) | What it means |
|---|---|---|---|
| Normal | Below 120 | and below 80 | Keep the same measurement routine and recheck periodically. |
| Elevated | 120–129 | and below 80 | Above the normal range; lifestyle and a consistent log matter more than one reading. |
| Stage 1 | 130–139 | or 80–89 | A home average is more informative than a single office or home reading. |
| Stage 2 | 140 or higher | or 90 or higher | Arrange prompt clinical review rather than changing medication yourself. |
| Crisis | 180 or higher | and/or 120 or higher | Recheck after five minutes; call emergency services if symptoms are present. |
| Below usual | Below 90 | or below 60 | Symptoms such as dizziness or fainting matter more than the number alone. |
Categories are for non-pregnant adults and come from the 2017 ACC/AHA guideline. Home monitors and technique vary; one high reading is not a diagnosis.
| Context | Range (mg/dL) | Label | Interpretation |
|---|---|---|---|
| Fasting (8+ hours) | 70–99 | Normal | Fasting values below 70 are low and need attention. |
| Fasting (8+ hours) | 100–125 | Prediabetes range | Confirmation and follow-up are clinical decisions. |
| Fasting (8+ hours) | 126 or higher | Diabetes range | Usually confirmed with a repeat test or HbA1c — one meter value is not enough. |
| Random / after eating | Below 140 | Usual | Timing and meal size change this value substantially. |
| Random / after eating | 140–199 | Elevated | Discuss persistently elevated values with a clinician. |
| Random / after eating | 200 or higher | Needs follow-up | Seek care promptly if thirst, frequent urination, vomiting, or rapid breathing accompanies it. |
Screening thresholds follow CDC/ADA guidance. Home meters are not laboratory-grade; use the same meter and record whether the sample was fasting.
| Measurement | Technique |
|---|---|
| Blood pressure | Sit quietly for five minutes, back supported, feet flat, arm at heart height. Take two readings a minute apart, morning and evening, and log the average. |
| Blood glucose | Wash hands and dry them, use unexpired strips, and log whether the sample was fasting (8+ hours) or after eating. |
| Weight | Use the same scale at the same time of day — ideally morning, after the bathroom, before food or drink, in similar clothing. |
| Height | Stand without shoes, heels together, looking straight ahead. For children, measure at the same time of day and plot growth over months. |
| Sleep | Record actual sleep, not time in bed. Note awakenings and whether the night felt restorative rather than chasing a single number. |
| Resting heart rate | Sit for five minutes before measuring, and avoid caffeine or exercise in the preceding hour. |
Consistency beats precision. A log taken the same way each day is more useful than perfect one-off measurements.
Log weight, blood pressure, blood glucose, sleep, and heart rate for each family member. See 7- and 30-day trends, reference ranges, and correlation analysis — private in your browser.
It is a private daily log for a household. You add each family member once, then record what you actually measure: height, weight, blood pressure, blood glucose, sleep duration, and resting heart rate. Optional notes capture context such as a missed walk, a late meal, or a cold. The dashboard turns the raw entries into 7-day and 30-day averages, a least-squares weight trend, the latest blood pressure and glucose readings against published reference ranges, sleep against an age-based target, and same-day correlations between measures. All of it lives in your browser, so nothing about your family’s health leaves the device.
Averages use only entries inside the selected window, so a gap in logging does not silently pull an average toward zero. Weight trend is a least-squares slope over the recent entries, reported in kilograms or pounds per week — a line is more stable than comparing two single readings. Blood pressure and glucose are classified against the reference tables shown on this page; a category is only as good as the measurement technique behind it. Sleep is compared with the target band for the member’s age. Correlations pair readings taken on the same day, require at least seven pairs, and are labeled weak, moderate, or strong by the size of r. With fewer than about ten pairs, even a large r is fragile, so treat early correlations as a question to investigate rather than a finding.
If your sleep and fasting glucose move together, that is a pattern worth discussing — not proof that short sleep raises your glucose. Both could be driven by a busy week, a change in medication, illness, alcohol, or seasonal activity. The tool is deliberately conservative: it shows the coefficient, the number of paired days, and a plain-language caveat beside each result rather than a recommendation. The safest use of a correlation here is to form a small, testable habit — for example, keeping a consistent bedtime for two weeks — and then look at whether the numbers actually moved.
The categories on this page come from the American Heart Association (blood pressure), the CDC and American Diabetes Association (glucose screening), the American Academy of Sleep Medicine and Sleep Research Society (sleep duration), and the WHO (adult BMI). They describe populations, not individuals. A single elevated reading is common and often reflects the measurement: talking during the reading, a full bladder, caffeine, or a cuff that is the wrong size. Clinicians diagnose hypertension and diabetes from repeated, properly taken measurements or laboratory tests — not from one home value. Members under 20 need age- and sex-specific growth charts instead of adult BMI cut-offs, which is why the tool flags them rather than assigning a category.
Anyone managing a chronic condition at home, caring for an older parent, or simply wanting an honest baseline will get more from a log than from a one-off reading. It is especially useful when a clinician asks for home blood pressure readings or a glucose diary, because the export produces a clean CSV with dates. It is not designed for pregnancy monitoring, insulin dose adjustment, or any situation where a reading triggers an immediate treatment decision — those belong with a clinician and a validated device. If a reading is in a crisis range, seek care rather than waiting to see a pattern in the chart.
No. It is a record-keeping and arithmetic tool: it averages and charts the numbers you enter and compares them with published reference ranges. It cannot diagnose high blood pressure, diabetes, or a sleep disorder, and it does not know your medications or history. Bring the log to a clinician — a structured record is genuinely useful there — but let them interpret it.
For each pair of measures (for example sleep and fasting glucose) the tool pairs same-day readings and computes the Pearson correlation coefficient r. A value near +1 means the two tend to rise together, near −1 means one tends to rise as the other falls, and near 0 means no straight-line relationship in your data. It requires at least seven paired days, shows the sample size, and labels the strength. Correlation does not show that one measure causes the other: a third factor such as a stressful week, a new medication, or seasonal illness can move both.
Yes. Add a member with a name, birth year, and height, and each entry is stored against that member. The dashboard, charts, and correlations always reflect the member you have selected, so one browser can hold a log for the whole household without mixing the numbers together. Each member gets a color in the member bar and in the CSV export.
Weight switches between kilograms and pounds, height between centimeters and feet/inches, and glucose between mg/dL and mmol/L. Values are stored internally in metric and mg/dL, so changing units only changes how they are displayed — no data is converted or lost. Blood pressure is always mmHg and sleep is always hours.
Blood pressure categories follow the American Heart Association adult chart. Glucose screening thresholds follow the CDC and American Diabetes Association definitions for fasting and random readings. Sleep duration is compared with age-band targets from the American Academy of Sleep Medicine and Sleep Research Society. BMI uses the WHO adult cut-offs, and members under 20 are flagged as needing a growth chart instead. Ranges are context, not a verdict.
Everything is saved in your browser’s localStorage on this device. Nothing is uploaded to a server, and there is no account. The trade-off is that clearing site data, using private browsing, or switching devices or browsers will make the log disappear. Export the CSV regularly if the record matters — it opens in any spreadsheet and can be imported into a clinician’s system.
What do you call a lazy cracker?
No signups, no data sold. Every tool is free to use — the free tier allows 5 downloads or saves per day, and the optional Pro plan ($7/mo, $59/yr) adds unlimited downloads, batch processing, white-label exports and an ad-free experience.
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