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When it comes to successful weight management, measuring the quality of your body mass is equally as important as knowing how much there is! SPB takes an evidence-based, back-to-basics look at body composition monitors, explaining the advantages and limitations of each
As we’ve explained in many previous articles, a complete break from training now and again is a good thing as it allows the muscles to undergo complete recovery, in a way that is not possible when training is taking place in a regular basis. An excellent example of this fact comes from a 2017 study, where Norwegian researchers looked at the effects of participating in a cross-country skiing stage race (‘Tour de Ski’), in which the participants raced from 4-25kms everyday for a week(1). One of the key findings was that in many of these athletes, subsequent performance was depressed for at least six weeks following the Tour, indicating that full and deep recovery can take a good deal longer than is generally recognised.
While an extended recovery following a period of hard training can provide a long-term performance boost, there can be a downside, especially when training is wound up for a few weeks over the Christmas period. That downside is unwanted weight gain. Weight gain can easily arise because energy (and therefore food calorie) demand drops very significantly when training is ceased, but this drop in energy demand happens at the very same time as calorie intake rises - thanks to the abundance of rich and/or sweet foods consumed, along with alcohol as part of the holiday festivities!
Let’s give some perspective here; gaining a couple of pounds over the Christmas holiday period is nothing to worry about as those pounds will inevitably be shed as soon as normal training resumes. Moreover, being able to switch off, relax and spend high-quality time with your loved ones is good – indeed, necessary even - for your mental well being, even if your normal eating patterns do go off the rails a bit! The problem arises when that weight gain becomes more than just an odd pound or two. Putting on several pounds means it not only takes longer to shed when training resumes, but can also be demotivating too – especially for novice athletes just finding their way into a healthier, fitter lifestyle.
Although weighing yourself to track changes in your body mass can be a useful indicator, it’s only half the story. That’s because those scales sitting in millions of bathrooms up and down the country might tell you how much mass your body contains, but give no idea about its composition – ie how much of that mass is composed of lean body tissue, such as muscle and bone and how much is body fat. This really matters because while gains in lean muscle mass are generally conducive to improved sports performance, gains in body fat are not.
Knowing only your weight (body mass) and not its composition presents a problem because it’s a fact that when training is put on hold, some muscle mass loss, especially in strength athletes, is unavoidable(2). It follows therefore that when taking a break from training, you might be comforted to observe no gain in overall mass when you jump on those scales. The reality however is that it’s likely you have lost some lean muscle mass and gained a similar amount of fat mass – ie your body composition has become ‘fatter’! As a rule of thumb then, using body mass to track weight (fat gain) is only meaningful when your week-to-week- training habits (exercise type, volume and intensity) remain unchanged. In all other circumstances, some kind of body composition analysis is much more useful!
It’s important not to get paranoid about body fat. Some reserves of body fat are essential for health and when stores dip too low, the risk of illness, infections and injury can increase(3). However, most people in the West carry too much body fat, largely as a result of refined processed diets and sedentary lifestyles(4). Small excesses of body fat are not harmful but will hinder sports performance by reducing power-to-weight ratio. Large excesses are harmful to health, and increase the risk of strokes, high blood pressure, coronary heart disease and some types of cancer(5,6).
The crucial measurement of body fat is ‘body fat percent’, which simply tells you what proportion of your mass is lean mass and what proportion is body fat. A woman with a total mass of 50kgs, comprised of 10kgs of fat tissue and 40kgs of lean tissue has 1/5th or 20% of her mass in the form of fat - ie her body fat measurement is said to be 20%. Table 1 shows the approximate recommended body fat percentages for men and women of different ages. However, for a more detailed breakdown of the categories of body fat % (ie too low, excellent, good, fair, poor, too high) given by age and sex, readers are recommended to download an excellent fact sheet from the University of Pennsylvania Athletics and Recreation Department(7), which can be found here.
Table 1: Approximate healthy body fat percentage ranges for ‘normal population groups’ by age
Age |
Male |
Female |
1-30 |
12-18% |
20-26% |
31-40 |
13-19% |
21-27% |
41-50 |
14-20% |
22-28% |
51-60 |
16-20% |
22-30% |
61+ |
17-21% |
22-31% |
Note: for athletes in hard training, ideal body fat levels may be a good 5% below the minimum levels shown in table 1.
There’s only one sure way to discover the exact composition of the body and that’s to cut it open and physically separate all the lean tissue such as organs, muscle and bone from the fatty tissue. Not surprisingly, few of us are willing to die in the cause of accurate body fat measurement so over the years, scientists have come up with some alternative methods of estimating body fat %. These range from simple estimation to highly accurate and advanced techniques. Examples include(8):
· Scales – measure the total mass (weight) of the body but cannot distinguish between lean and fat mass and cannot detect if weight changes are due to fat, or lean mass. Scales may also be misleading because of natural variations in hydration levels (eg younger women at certain times of the month) and when exercise habits change (exercise increases lean body mass – a good thing).
· Body Mass Index (BMI) – relates weight to height (BMI = weight in kilos divided by height in metres squared). BMIs of 20-25 are considered healthy – 26 and over are considered overweight. While better than scales alone and simple/quick to calculate (hence popular with doctors), BMIs are still a poor way of assessing whether someone is carrying too much/little body fat, especially in athletes, well muscle people and those with a large bone structure.
· Skinfold calipers – measure fat stored under the skin at different sites and these figures are then used to predict body fat %. Calipers can yield quite accurate results in the hands of a skilled professional, but the major drawback is that you can’t take your own measurements.
· Body Impedance Analysis (BIA) – measures the resistance in the body to a small flow of electric current. Using sophisticated algorithms, water content, lean body mass and hence body fat % can be calculated quite accurately. BIA is generally easy to self-administer, but for accurate results, subjects must be properly and consistently hydrated, especially when trying to track changes over time.
· Near Infra-Red (NIR) – detects the ‘chemical signature’ of fat molecules in the body using infra-red beams and uses this information to calculate body fat %. Although generally dearer than BIA, NIR is easy to use, free from hydration problems and is quite accurate.
· Hydrostatic underwater weighing (densiometry) – compares bodyweight measured on dry land with that measured underwater. Since the density of lean tissue is very close to water but that of body fat is significantly lower, the lower the measured weight in water compared to land, the higher the % of body fat. Densiometry is highly accurate but requires a dedicated facility in a pool and trained technicians – hence it is only really used in a research setting.
· Medical Techniques – include very accurate but more exotic and expensive methods, the gold standard being Dual Energy X-ray Absorptiometry (DXA), which is often used to validate other methods Total Body Potassium (TBK) and Neutron Activation Analysis can also be used but unless you’ve a spare $million or two knocking around for the equipment and technicians, you’re best sticking to the simpler techniques above!
Most body fat monitors on the market use BIA technology to assess body fat. The reason is simple: BIA technology is fairly cheap to produce, straightforward to use and also offers reasonable accuracy – although not quite as good as old fashioned skin calipers in the hands of a skilled technician(9)! Depending on the sophistication of the built in software, you can expect to pay anything from $30 up to $500 for a decent BIA monitor. Although they became popular for a while, the higher costs involved with NIR monitors inhibited their development despite the fact that they overcame some of the limitations of BIA machines (see below). This is why they are rarely seen in the body composition analysis marketplace these days.
There are two features to think about when choosing a body fat monitor for home use.
· Is it accurate? Any readings should be both accurate - ie within a couple of percent of your actual body fat % - and reproducible. For example, you don’t want a reading of 2% over one day and 2% under the next!
· Is it easy to use? If it takes two hours of your time and the dexterity of a brain surgeon to wire yourself for a reading, the novelty will soon wear off and you just won’t bother.
In reality, the accuracy question is difficult to answer unless you are able to compare the results you get from a BIA monitor with those from a DXA scan carried out at the same time (impractical for most athletes!). Much depends on the equations and algorithms used to calculate % body fat and lean mass from the actual measurement of electrical current.
Accuracy and ease of use tend to be mutually exclusive properties, which mean that manufacturers have to make sensible compromises between the two when designing their monitors. Many home-use BIA monitors simply require you to stand on a pair of metal plates (like scales) or grip two handles for a reading, which is dead easy. But these monitors only measure impedance in a pair of limbs. Other systems using a multi-electrode attachment system to measure more body compartments are a little more complicated to use. However, most can be wired up to give a reading in less than three minutes, and also offer a theoretical advantage in terms of accuracy.
In a 2018 study, scientists compared estimates of lean and fat mass using BIA measurement taken from the legs, arms and trunk in 30 adults with those from highly accurate DXA scans(10). Although BIA and DXA measurements were strongly correlated for all the segmental measures, the researchers found that BIA routinely overestimated lean mass for the arms and trunk, while and underestimating the fat mass for arms and legs. Taken as a whole, BIA overestimated total body lean mass in 93% of participants and underestimated total body fat mass in 90% of participants. This is not to say that BIA is an invalid method for determining body composition; just that you should not take a particular figure as gospel. What is more important is to measure under consistent conditions then look at the trend.
There are a lot of steps between measuring the impedance to the flow of a small current and calculating body fat levels. For the most accurate results possible, the subject must be properly hydrated (see box below) and the software must use adequate ‘fitting equations’. Once the electrical impedance in the body has been measured, an on-board computer number crunches the raw figures, taking into account variables like your age, height, weight, gender and your activity level, using ‘fitting equations’ and algorithms to produce a final figure.
The more sophisticated fitting equations will also allow you to input ethnicity and enable you to be more specific about your exercise levels, both of which help to improve accuracy. However, it’s important to realise that all the equations and algorithms used in BIA monitors have their limits. The further you ‘deviate’ from normal in terms of any of the input variables (such as age or activity levels), the less accurate the final body fat % figure is likely to be. As an extreme example, if you’re 75 years old, 6ft 6ins tall, of Polynesian extraction and doing heavy triathlon training, it’s unlikely that BIA will accurately assess your body fat percentage! Having said that, for most people, for most of the time, even a basic body fat monitor tells far more truth than any pair of scales!
BIA is the most popular method of assessing body composition but as we’ve mentioned above, it relies on full hydration in the body to produce accurate results. Where there is dehydration, electrical impedance is increased and a false high % body fat reading is likely. Where there is water retention, electrical impedance is reduced and a false low is likely. If you use or intend to use a BIA monitor, you should ensure and bear in mind the following before testing:
· As hydration levels tend to change through the day, always test at the same time of day to get a better comparison of results over time.
· Do not consume tea, coffee or cola for 24 hours before testing. All these drinks contain caffeine, which is a mild diuretic and can cause water loss in the body.
· Do not consume alcohol for 24 hours before testing (again a diuretic).
· Do not exercise on the day of testing. Even in cold conditions, exercise causes significant water losses in the body, which will affect the accuracy of the result.
· Measurements taken in very hot conditions (when water losses occur through normal sweating) may also be inaccurate.
· Women should bear in mind that any pre-menstrual measurements may be subject to significant error due to water retention.
· BIA may also give erroneous results in those with kidney problems or who have to use diuretic drugs, where water retention is a problem. Even laxative use can cause increased water loss and dehydration.
1. Scand J Med Sci Sports. 2015 Dec;25(6):846-53
2. AGE. 2013;35:1899–1904
3. Int J Obes Relat Metab Disord. 1997 Sep;21(9):738-46
4. Med J Aust. 1991 Aug 19;155(4):258-64
5. Int J Cardiol. 2012;162:20–6
6. Cancer Causes Control. 2014;25:1407–18
7. pennshape.upenn.edu/files/pennshape/Body-Composition-Fact-Sheet.pdf
8. Eur J Clin Nutr. 1997 Aug;51(8):495-503
9. PLoS One. 2019; 14(11): e0224291
10. Clin Nutr ESPEN. 2018 Dec:28:141-147
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