Reading Your Blood Sugar Trends and Charts

GlucoLog turns your logged readings into charts across 7-day, 30-day, 90-day, 6-month and 1-year views, plus a time-in-range breakdown. Reading these together shows your overall pattern — your average, your highs and lows, and how steady you are — which is far more informative than any single reading. General information, not medical advice.

From a List of Numbers to a Picture

A long list of blood sugar readings is hard to make sense of by eye. GlucoLog's charts exist to solve that: they take the entries you have logged and draw them as a trend you can actually see. On the dashboard you get a quick 7-day trend, and the Charts tab opens the full picture with five time windows — 7 days, 30 days, 90 days, 6 months and 1 year. Shorter windows help you spot what changed this week; longer ones reveal slow drifts you would never notice day to day.

Alongside the trend line, GlucoLog shows summary statistics for the period you are viewing: your average, your minimum and maximum, and a measure of how spread out your readings are (standard deviation). A lower spread means steadier numbers; a higher spread means more ups and downs. You can also filter the charts by meal context — for example, viewing only your fasting readings or only your after-meal readings — so you compare like with like instead of blending very different moments together.

What Time in Range Is Telling You

One of the most useful visuals in GlucoLog is time in range. Instead of a single average, it shows what proportion of your readings fell within your target band, versus below it (low) or above it (high). GlucoLog displays this as a simple breakdown — for example, the share of readings that were in range, low or high across the selected period.

Time in range is helpful because two people can share the same average while having very different experiences: one steady, one swinging between highs and lows. A high percentage of readings in range generally reflects steadier control, while a lot of time low or high is worth discussing with your doctor. The concept of time in range comes from continuous glucose monitoring, and general targets have been published by diabetes organisations — but what counts as "in range" and a good target percentage varies from person to person and is set with your care team. GlucoLog visualises the readings you enter; it does not decide your targets for you.

Why the Pattern Matters More Than One Reading

It is natural to react to a single surprising number, but the real value of tracking is in the pattern. A trend line that is slowly climbing, a particular meal that reliably produces a spike, mornings that run higher than evenings — these are the insights that inform real decisions, and none of them are visible from one reading. That is why GlucoLog puts trends, averages and time in range front and centre rather than just the latest value.

When you review your charts, look for direction and consistency rather than individual peaks. Is this month steadier than last? Are your fasting numbers trending the way you and your doctor hoped? Are the highs clustered around certain meals or times of day? Bringing answers to questions like these — backed by the actual chart — makes your appointments more productive. Remember that a chart describes what happened; it does not diagnose why, and it does not set your goals.

This guide is for general information only and is not medical advice — discuss your trends, your time-in-range target and any changes with your doctor or diabetes care team.

How to Read Your Trends in GlucoLog

1
Open the Charts tab

Tap Charts to move from the dashboard's quick 7-day view to the full trend charts and statistics.

2
Pick a time window

Choose 7 days, 30 days, 90 days, 6 months or 1 year. Short windows show recent change; long windows reveal slow drifts.

3
Filter by meal context

Narrow the chart to fasting, before-meal or after-meal readings so you compare similar moments instead of mixing them.

4
Read the summary and time in range

Check your average, minimum and maximum, and the time-in-range breakdown, to judge both your typical level and how steady you are.

What is time in range?

Time in range is the proportion of your readings that fall within your target band, versus below it (low) or above it (high). GlucoLog shows this breakdown for the period you select. It reflects steadiness, not just your average, but your target band is set with your doctor.

Which chart time windows does GlucoLog offer?

The dashboard shows a 7-day trend, and the Charts tab offers 7-day, 30-day, 90-day, 6-month and 1-year views. Shorter windows highlight recent changes, while longer ones reveal slow trends you would not notice day to day.

Why does the pattern matter more than one reading?

A single reading is a snapshot that can mislead. Trends, averages and time in range reveal direction and consistency — whether numbers are drifting, which meals cause spikes, how steady you are — which is what actually informs decisions with your care team.

Track Your Blood Sugar, Clearly and Privately

Download GlucoLog free and log your blood sugar in seconds, tag it by meal, follow your trends and time in range, see an estimated A1C, and share a PDF or CSV report with your doctor. Your data stays on your device and in your own iCloud. GlucoLog does not measure glucose and provides general health information, not medical advice.

Download GlucoLog on the App Store

How to Track Your Blood Sugar

Build a simple logging routine, learn what the fasting, before, after and bedtime tags mean, and see why consistency matters more than any single reading.

Read guide

Understanding Your Estimated A1C

How GlucoLog estimates A1C from your average glucose, when that estimate can mislead, and why it does not replace a lab A1C test.

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Sharing a Report with Your Doctor

Generate a compact or detailed PDF, or a CSV export, and walk into your appointment prepared with a clear record.

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mg/dL and mmol/L: Choosing Units

Which unit your country uses, how to switch in GlucoLog, and the simple ×18 conversion between mg/dL and mmol/L.

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