We struggle to think of many reasons why this might be helpful. For most people, weighing in multiple times a day is unnecessary, and could be counter-productive if it encourages obsessive behaviours. What we like about these scales is they are fully customizable, so you can change which widgets you want to display during weigh-ins. You can see lots of stats on the scale itself – including skeletal muscle mass, body water, BMI and bone mass. Each metric has a color icon above it on the scale, which you soon recognise after multiple uses. Open the app and you can see changes in these stats over the course of a day, a week, four weeks and a year. The Wyze Scale X can serve up to eight users and has a pregnancy and weight only mode, as well as luggage, pet and baby modes. It also syncs with FitBit, Apple Health and Google Fit, making it a great value smart scale.

The regression factor b for weight is very strong. Because of that, the Water (or dumbbells or something else) in your hands rises up your BF messures. The model is ok and build by measurements of a lot of people where the BF correlates with weight. The problem is, that if you are trining a lot, lose fat and win muscels your BF prediction is wrong. After all you have no interesting BF “predictions” but more a kind of second weight measurement. The bio impedance is a fraude. They cant do it that exactly and take mostly your weight and age and that fix data. Manually link Garmin Connect to Apple Healthkit or Google Fit. You can then connect other apps to Apple/Google. This seemed to work OK for me but an Apple developer did tell me that “ Apple does not permit people to write to Apple Health without the user being present“. So bear that in mind. Maybe 2024 means Garmin will release a new Index (Index S3?), and it will be easier to setup, and include a ‘Pandemic Factor’ to remove a few pounds from the total. Hah! Minimalist and budget-friendly, the Xiaomi Mi Smart Scale 2 wouldn’t be out of place in the Apple store with its hidden LED screen and smooth, rounded edges.

The first impression is a good one

It’s hard to say which scales were giving the most accurate reading, but the Garmin scales were significantly higher than the others. They were, however, consistent with themselves, and readings were very much in line with what these scales had previously recorded. However, if you’re coming from the previous Garmin Index scale, you’ll first have to live with a bit of disappointment: This marquee feature doesn’t actually pull any of your historical Index 1 weight data in to the scale itself. We love how it syncs with all the main health apps (from Apple Health and Fitbit to MyFitnessPal) so it’s really simple to access your data in one place. You can measure 13 different body metrics and the app gives further insight into how these relate to the average person, in terms of being healthy or unhealthy. You can disable any other body composition data you don’t want to record so you can simply focus on weight. This is where you’ll grab your smartphone to set it up, using the Garmin Connect app. It’ll find the device just like a watch. And, once this post goes live the image and codename Garmin uses will magically change to the correct product image and real name instead of placeholders (Garmin does this for all products, to minimize leaks).

The Skeletal Muscle Mass function allows you to see how much skeletal muscle you have on your body which allows you to view how much muscle you’re building. Press the reset button on the underside of the scale for a few seconds. After a few attempts, you will get the gear icon on the S2 Scale display. We'd appreciate a little more context around each of the metrics shown in the app (for example, it would be helpful to know whether your muscle mass is normal for your age and gender, and how close it is to the boundaries) but this is nevertheless a great smart scale if your budget will stretch to it. So that’s handy if you’re focused on losing weight, rather than finding out three months later that your watch weight is still at a substantially higher value.Accuracy can be difficult to judge, as smart scales manufacturers have their individual algorithms for calculating body composition. But there are some general observations we can make.