BMI misclassifies millions of athletes as "overweight." Use our athlete-focused calculator to get your BMI alongside body fat estimate, lean body mass, and Katch-McArdle BMR -- and see why body composition matters more than a single number.
Calculate your BMI, estimated body fat, lean body mass, and BMR to understand your true body composition
Body Mass Index has been the default health screening tool since Belgian mathematician Adolphe Quetelet introduced it in the 1830s. It is simple, fast, and requires nothing more than a scale and a tape measure. But for the millions of athletes, weekend warriors, and fitness enthusiasts who carry above-average muscle mass, BMI tells a deeply misleading story.
If you have ever stepped on a scale after months of dedicated training and been told by a BMI chart that you are "overweight" or even "obese," you are not alone. This article explains exactly why BMI fails for athletes, which metrics actually matter, and how to accurately assess your body composition as a trained individual. We have also built an athlete-focused calculator above that goes beyond BMI to give you body fat estimates, lean body mass, FFMI, and BMR calculations that are meaningful for active people.
BMI is calculated by dividing your weight in kilograms by your height in meters squared. The fundamental problem is immediately obvious: the formula treats all weight as equal. It cannot distinguish between a kilogram of muscle and a kilogram of fat. For sedentary populations, this shortcut works reasonably well because most people carry similar proportions of muscle and fat. But for anyone who trains seriously, the formula breaks down.
Muscle tissue is approximately 18% denser than fat tissue. One liter of muscle weighs about 1.06 kg, while one liter of fat weighs about 0.9 kg. This means that a lean, muscular person will weigh significantly more than a sedentary person of the same height and visual size, and BMI will penalize them for it. A 2016 study published in the International Journal of Obesity by Tomiyama et al. found that using BMI as a sole health indicator misclassified the health status of over 54 million Americans, many of whom were metabolically healthy despite having elevated BMIs.
The issue is compounded by the fact that resistance training -- the cornerstone of athletic preparation in nearly every sport -- systematically increases lean body mass. Over years of training, an athlete may add 10-20 kg of muscle to their frame. This alone can shift a BMI reading from "normal" to "overweight" without any increase in body fat. In fact, many athletes see their BMI rise even as their body fat percentage drops, creating a paradox where getting healthier and fitter makes them look worse by BMI standards.
BMI = weight (kg) / height (m)²
There are several specific reasons why BMI fails athletes:
Research by Ode et al. (2007) in the British Journal of Sports Medicine examined 226 Division I collegiate athletes and found that BMI classified 67% of football players and 50% of overall male athletes as overweight or obese, when body fat measurements showed that the vast majority were in healthy or athletic ranges. Among female athletes, the misclassification rate was lower but still significant at approximately 15-20%.
Perhaps the most compelling argument against using BMI for athletes comes from looking at some of the fittest humans on the planet and seeing how the formula classifies them. The following examples demonstrate just how absurd BMI can be when applied to trained individuals.
American Football: During his playing career, LeBron James (NBA/general athletics comparison) stood at 206 cm and weighed approximately 113 kg, giving him a BMI of 26.6 -- "overweight." But consider NFL running back Derrick Henry, who at 191 cm and 112 kg carries a BMI of 30.7, placing him in the "obese" category. Henry runs a 4.54-second 40-yard dash and is one of the most dominant athletes in professional sports. Similarly, J.J. Watt during his prime stood 196 cm tall and weighed 130 kg, yielding a BMI of 33.8 -- "obese Class I" -- while maintaining an estimated body fat percentage of roughly 12-15%.
Rugby: Jonah Lomu, widely considered the greatest winger in rugby history, was 196 cm and 120 kg during his playing prime. His BMI of 31.2 classified him as obese, yet he was arguably the most explosive athlete the sport had ever seen, running 100 meters in 10.8 seconds at that weight. Current stars like Eben Etzebeth (203 cm, 117 kg, BMI 28.4) are classified as overweight despite being elite athletes competing at the highest level.
Combat Sports: Former UFC heavyweight champion and Olympic gold medalist Daniel Cormier competed at both light heavyweight (93 kg) and heavyweight (up to 112 kg). At 180 cm, his BMI ranged from 28.7 to 34.6. Former boxing heavyweight champion Anthony Joshua stands 198 cm and typically weighs around 109 kg, giving him a BMI of 27.8 -- overweight. Even at lighter weights, combat athletes carry dense muscle; Canelo Alvarez at 175 cm and roughly 80 kg in fight shape has a BMI of 26.1, technically overweight.
Track and Field: Usain Bolt, the fastest human in history, stood 195 cm and weighed 94 kg, yielding a BMI of 24.7 -- just barely "normal." Sprinters like Ben Johnson during his competitive years (177 cm, 82 kg, BMI 26.2) and shot putters like Ryan Crouser (201 cm, 145 kg, BMI 35.9 -- "Obese Class II") demonstrate the absurdity across track disciplines. Even pole vaulter Mondo Duplantis at 181 cm and 79 kg has a BMI of 24.1 -- "normal" only because his sport demands a lighter frame.
Swimming and Water Sports: Michael Phelps, the most decorated Olympian of all time, stood 193 cm and weighed 91 kg during competition, giving him a BMI of 24.4. While technically normal, he carried extraordinary muscle mass with an estimated body fat of 8%. Katie Ledecky at 183 cm and 73 kg has a BMI of 21.8, right in the middle of normal, but with a body composition radically different from a sedentary person with the same BMI.
Strength Sports: Olympic weightlifters and powerlifters represent the most extreme examples. Lasha Talakhadze, the super-heavyweight Olympic weightlifting gold medalist, has a BMI well above 40. Even in lower weight classes, athletes like Clarence Kennedy (183 cm, ~105 kg, BMI 31.4) carry what BMI would call "obesity" alongside extraordinary strength and athletic ability. CrossFit athletes like Mat Fraser (175 cm, 88 kg, BMI 28.7) and Tia-Clair Toomey (163 cm, 64 kg, BMI 24.1) demonstrate how the "fittest on earth" often fall outside normal BMI ranges.
| Athlete | Sport | Height | Weight | BMI | BMI Category |
|---|---|---|---|---|---|
| Derrick Henry | NFL | 191 cm | 112 kg | 30.7 | Obese |
| J.J. Watt | NFL | 196 cm | 130 kg | 33.8 | Obese |
| Anthony Joshua | Boxing | 198 cm | 109 kg | 27.8 | Overweight |
| Usain Bolt | Sprints | 195 cm | 94 kg | 24.7 | Normal |
| Michael Phelps | Swimming | 193 cm | 91 kg | 24.4 | Normal |
| Jonah Lomu | Rugby | 196 cm | 120 kg | 31.2 | Obese |
| Mat Fraser | CrossFit | 175 cm | 88 kg | 28.7 | Overweight |
| Ryan Crouser | Shot Put | 201 cm | 145 kg | 35.9 | Obese II |
The pattern is clear: many of the world's most accomplished athletes would be advised to "lose weight" by a standard BMI chart. This is not a minor statistical quirk -- it represents a fundamental flaw in applying a population-level screening tool to individuals who have significantly altered their body composition through training.
If BMI is unreliable for athletes, what should you use instead? Sports science and exercise physiology have developed several metrics that provide far more meaningful information about an athlete's body composition and health.
Body fat percentage is the most direct and widely used alternative to BMI for athletes. It tells you exactly what proportion of your total body weight is fat tissue, which is what actually matters for health risk assessment and athletic performance. The American Council on Exercise (ACE) provides the following classification system:
| Category | Men | Women |
|---|---|---|
| Essential Fat | 2 - 5% | 10 - 13% |
| Athlete | 6 - 13% | 14 - 20% |
| Fitness | 14 - 17% | 21 - 24% |
| Average | 18 - 24% | 25 - 31% |
| Obese | 25%+ | 32%+ |
Unlike BMI, body fat percentage directly addresses the health-relevant variable. An athlete with a BMI of 30 but a body fat percentage of 12% is in an entirely different health category than a sedentary individual with the same BMI but 35% body fat. Our body fat calculator uses the US Navy Method and BMI-based Deurenberg formula to provide estimates without requiring expensive equipment.
Lean body mass represents everything in your body that is not fat: muscle, bone, organs, water, and connective tissue. It is calculated by subtracting your fat mass from your total body weight. For athletes, tracking lean body mass over time is far more informative than tracking total weight or BMI because it reveals whether you are gaining muscle, losing muscle, or maintaining lean tissue while changing fat levels.
Men: LBM = 0.407 × weight(kg) + 0.267 × height(cm) - 19.2
Women: LBM = 0.252 × weight(kg) + 0.473 × height(cm) - 48.3
Athletes can use lean body mass to set more intelligent weight targets. Rather than aiming for a specific BMI or total weight, they can focus on maintaining or increasing lean mass while adjusting fat mass to optimize for their sport. This approach prevents the common mistake of losing muscle while trying to "make weight" by BMI standards.
FFMI is arguably the single best metric for assessing athletic muscularity. It applies the BMI formula to lean body mass only, providing a height-normalized measure of how much muscle you carry. It was introduced by Kouri et al. in 1995 and has since become a standard reference point in sports science.
FFMI = lean mass (kg) / height (m)²
Adjusted FFMI = FFMI + 6.1 × (1.8 - height(m))
| FFMI Range (Men) | Classification |
|---|---|
| Below 18 | Below average muscularity |
| 18 - 20 | Average (untrained) |
| 20 - 22 | Above average (recreational training) |
| 22 - 23 | Excellent (dedicated training) |
| 23 - 25 | Superior (advanced athlete) |
| 25 - 27 | Exceptional (elite natural limit) |
| Above 27 | Extremely rare (suspect pharmacological assistance) |
The Kouri et al. study found that the natural limit for FFMI in men is approximately 25, with values above this rarely achieved without anabolic steroid use. For women, the scale is shifted lower, with typical athletic values in the 16-20 range and exceptional values around 22. FFMI provides context that neither BMI nor body fat percentage alone can offer -- it tells you not just how lean you are, but how much muscle you carry relative to your frame.
Athletic body types vary enormously across sports, and so do typical BMI ranges. Understanding where your sport falls on the spectrum helps contextualize your own numbers and set appropriate goals.
Endurance athletes -- marathon runners, long-distance cyclists, triathletes, cross-country skiers -- tend to have the lowest BMIs in sport, typically ranging from 18.5 to 23. This is not surprising: in sports where you must move your body over long distances against gravity, every extra kilogram of mass (whether muscle or fat) costs energy. Elite male marathon runners average a BMI of about 19-21, while female marathon runners average 18-20. These athletes prioritize power-to-weight ratio and aerobic efficiency over absolute strength, resulting in lean, lighter physiques. For endurance athletes, BMI is somewhat more reliable as a health indicator because their body composition tends to be closer to the general population assumptions built into the formula.
Strength and power athletes have the highest BMIs in sport and are the group most severely misclassified. Olympic weightlifters, powerlifters, strongman competitors, and throwers in track and field routinely carry BMIs of 28-40+. Even in lighter weight classes, these athletes carry substantially more muscle than average. A 77 kg weight class Olympic weightlifter at 170 cm has a BMI of 26.6 (overweight) despite often having body fat below 12%. In the heavier classes, BMIs above 35 are common. The entire sport of powerlifting essentially invalidates BMI as a health metric -- competitors at the highest levels carry extraordinary muscle mass that pushes their BMI into "obese" territory while maintaining reasonable body fat levels and excellent metabolic health markers.
Team sports present a mixed picture because different positions require different body types. In American football, offensive linemen average BMIs of 33-36, while wide receivers average 25-27 -- both groups are elite athletes, but BMI classifies them very differently. In soccer (football), players tend to have BMIs in the 22-25 range, though defenders and strikers with more muscle mass may push into the 25-27 range. Basketball players are an interesting case: despite being extremely tall, their BMIs tend to cluster around 24-27, but this is partly because the BMI formula already under-penalizes very tall individuals (a known limitation).
Ice hockey players average BMIs of 25-28, reflecting the sport's demand for both speed and physical strength. Rugby players span a wide range: backs tend to have BMIs of 25-29, while forwards average 28-33. In all these sports, position-specific demands create enormous variation that BMI cannot meaningfully capture.
| Sport Category | Typical Male BMI | Typical Female BMI | Typical Body Fat % |
|---|---|---|---|
| Marathon / Distance Running | 19 - 21 | 18 - 20 | 5 - 10% / 12 - 18% |
| Cycling (Road) | 20 - 23 | 19 - 22 | 6 - 12% / 14 - 20% |
| Swimming | 22 - 25 | 21 - 24 | 8 - 14% / 16 - 22% |
| Soccer / Football | 22 - 25 | 20 - 23 | 7 - 13% / 15 - 22% |
| Basketball | 24 - 27 | 22 - 25 | 7 - 12% / 15 - 22% |
| Rugby / Ice Hockey | 26 - 32 | 24 - 28 | 10 - 18% / 18 - 26% |
| Sprinting / Jumping | 23 - 27 | 21 - 25 | 5 - 10% / 12 - 18% |
| CrossFit / Functional Fitness | 25 - 30 | 22 - 26 | 8 - 14% / 16 - 22% |
| Olympic Weightlifting | 26 - 38 | 24 - 32 | 10 - 20% / 18 - 28% |
| Powerlifting / Strongman | 28 - 40+ | 26 - 35 | 12 - 25% / 20 - 32% |
| American Football | 27 - 36 | N/A | 10 - 22% |
| Gymnastics | 22 - 25 | 19 - 23 | 5 - 10% / 12 - 18% |
Rather than targeting a specific BMI, athletes should set body composition goals based on the demands of their sport. The optimal ratio of lean mass to fat mass varies significantly depending on whether your sport prioritizes endurance, power, agility, or absolute strength.
For endurance athletes, the primary goal is maximizing power-to-weight ratio. This means maintaining sufficient lean mass for performance while keeping body fat low. Male endurance athletes typically target body fat of 5-12%, while females aim for 12-20%. However, going too low is dangerous: running at essential fat levels (below 5% for men, below 13% for women) impairs immune function, hormonal balance, and recovery. The phenomenon of Relative Energy Deficiency in Sport (RED-S) is a serious concern for endurance athletes who restrict calories excessively. A male marathon runner at 7-8% body fat and a female distance runner at 15-17% represent sustainable, high-performance body compositions.
Power athletes need to be lean and explosive. Sprinters like Usain Bolt demonstrate the ideal: maximum muscle mass focused on fast-twitch fibers, with minimal excess fat to carry. Male sprinters typically carry 5-10% body fat, while female sprinters range from 12-18%. Throwers are a special case -- they benefit from additional body mass (including some fat) for momentum and force production, so body fat levels of 14-22% for men and 20-28% for women are common and appropriate at the highest levels. The key for power athletes is lean mass distribution: sprinters need it in the glutes and hamstrings, throwers need it in the core and upper body.
Team sport athletes require a balance of speed, strength, endurance, and agility. Body composition targets are position-specific. A soccer midfielder prioritizing endurance and agility might target 8-12% body fat (men) or 16-20% (women), while a rugby prop prioritizing scrummaging power might function optimally at 16-20% body fat. NFL skill position players (receivers, defensive backs) tend to maintain 7-12% body fat for speed, while linemen carry 18-25% as the additional mass aids in blocking and power generation. The unifying principle is that body fat should be low enough to not impede the movement demands of the position while high enough to support the training volume and contact demands of the sport.
Strength sports are unique because absolute strength matters more than relative strength (except in weight classes). Competitive powerlifters and strongman competitors in unlimited weight classes may carry 18-30% body fat because the additional mass, including intramuscular fat, can enhance force production and joint stability. In weight-class sports like Olympic weightlifting, athletes must be lean enough to maximize their muscle mass within their class, typically targeting 8-15% body fat for men and 16-24% for women. The trade-off is always between leveraging additional body mass for strength versus staying lean enough to compete at a lower weight class.
These athletes have the most extreme body composition demands. Competitive bodybuilders may reduce body fat to 3-5% (men) or 8-12% (women) for competitions, but this is not sustainable and represents a temporary peak condition. Gymnasts maintain relatively low body fat (5-10% men, 12-18% women) year-round due to the demands of power-to-weight ratio in their sport. Combat sport athletes often cycle between training body fat levels (10-16% men, 18-24% women) and competition weight, using strategic weight cuts that include water manipulation. These sports highlight why year-round body fat targets should differ from competition-day targets.
If BMI is inadequate, how should athletes measure their body composition? Several methods are available, each with different trade-offs between accuracy, accessibility, and cost.
DEXA is widely considered the gold standard for body composition assessment. It uses low-dose X-rays to differentiate between bone mineral, fat tissue, and lean soft tissue throughout the body. DEXA provides total body fat percentage, regional fat distribution (so you can see where fat is stored), lean mass by body segment, bone mineral density, and visceral fat estimates. Accuracy is within 1-2% for body fat. The main downsides are cost ($75-150 per scan in the US), the need to visit a facility with the equipment, and minor radiation exposure (equivalent to a few hours of natural background radiation). For serious athletes, quarterly DEXA scans provide the most comprehensive tracking data available.
Hydrostatic weighing was the original gold standard before DEXA became widely available. It works on Archimedes' principle: you are weighed on land and then submerged underwater. Since fat is less dense than water, the difference between your land weight and underwater weight reveals your body density, from which body fat can be calculated. Accuracy is within 1-3%. The method requires specialized equipment, is somewhat uncomfortable (you must exhale fully while submerged), and does not provide regional body composition data. It remains a valid option where available and costs around $40-75.
The Bod Pod uses air displacement rather than water displacement to measure body volume and density. You sit inside an egg-shaped chamber for about 5 minutes while the device measures air displacement. It is more comfortable than hydrostatic weighing and provides similar accuracy (within 1-3%). Many university athletic departments and sports medicine clinics have Bod Pod units. Cost is typically $45-75 per test.
Skinfold measurements use calipers to measure the thickness of subcutaneous fat at specific body sites (typically 3, 4, or 7 sites). The measurements are entered into equations that estimate total body fat. When performed by a skilled practitioner, skinfold measurements are accurate within 3-4% and are highly reproducible for tracking changes over time. This is the most accessible lab-quality method: calipers cost $10-30, and many personal trainers and sports medicine professionals are trained in the technique. The key limitation is inter-tester variability -- different practitioners may get different results, so it is important to use the same tester for longitudinal tracking. The Jackson-Pollock 3-site and 7-site protocols are the most widely validated.
BIA devices send a small electrical current through the body and measure resistance. Since lean tissue conducts electricity better than fat (due to higher water content), the resistance can estimate body composition. Consumer-grade BIA scales and handheld devices are widely available ($20-200) but have accuracy limitations of 3-8%, with results affected by hydration, meal timing, and exercise. Research-grade BIA devices (such as InBody) use multiple frequencies and electrode placements, achieving accuracy within 2-4%. For athletes, BIA is best used for tracking trends over time rather than absolute values -- measure under consistent conditions (same time of day, hydration status, and time since last meal and exercise).
The US Navy Method and other circumference-based formulas estimate body fat from body measurements (neck, waist, hip, height). These methods are free, require only a tape measure, and provide estimates within 3-4% accuracy for most individuals. Our body fat calculator implements this method. For athletes, circumference methods tend to underestimate body fat in those with large necks (common in strength athletes) and overestimate it in those with narrow builds. Despite these limitations, circumference methods are valuable for regular self-monitoring and are the basis of the military body fat assessment.
| Method | Accuracy | Cost | Accessibility | Best For |
|---|---|---|---|---|
| DEXA Scan | 1-2% | $75-150 | Clinic/lab | Comprehensive analysis |
| Hydrostatic Weighing | 1-3% | $40-75 | Specialized facility | Research validation |
| Bod Pod | 1-3% | $45-75 | University/clinic | Quick, comfortable |
| Skinfold Calipers | 3-4% | $10-30 | Gym/trainer | Tracking changes |
| BIA (Research-grade) | 2-4% | $30-60/test | Gym/clinic | Quick tracking |
| BIA (Consumer) | 3-8% | $20-200 | Home | Daily trends |
| Navy Method | 3-4% | Free | Home | Self-monitoring |
Understanding that BMI is inadequate for athletes has practical implications for how you approach training, nutrition, and health monitoring. Here are the key takeaways for trained individuals.
If your BMI says "overweight" but your body fat is in the athletic range, you do not need to lose weight. Attempting to reduce your weight to reach a "normal" BMI when you are already lean would require losing muscle mass -- the exact opposite of what an athlete should do. This is a common mistake among athletes who encounter BMI-based health screenings at doctor's offices, workplace wellness programs, or insurance assessments. If you are in this situation, advocate for a body composition assessment rather than accepting a BMI-based recommendation.
Athletes should measure body composition at regular intervals (monthly skinfolds or quarterly DEXA scans) rather than relying on daily scale weight. Scale weight fluctuates by 1-3 kg daily due to hydration, glycogen, gut contents, and sodium intake. These fluctuations are meaningless noise. Body composition trends over weeks and months tell the real story of whether your training and nutrition are moving you in the right direction. A 2 kg weight gain that is 1.5 kg muscle and 0.5 kg fat is an outstanding result for most athletes -- but BMI would simply register it as moving further from "normal."
Athletes with more lean body mass have higher basal metabolic rates and therefore higher caloric needs. The Katch-McArdle formula (BMR = 370 + 21.6 x lean mass in kg) is the most appropriate BMR calculation for athletes because it is based on lean body mass rather than total weight. This means a muscular athlete at a BMI of 30 may need 500-800 more daily calories than a sedentary person at the same BMI. Protein requirements for athletes range from 1.6-2.2 g/kg body weight per day for muscle maintenance and growth, compared to the 0.8 g/kg recommendation for sedentary populations. Under-eating based on BMI-derived calorie recommendations can lead to muscle loss, hormonal disruption, and performance decline.
RED-S, formerly known as the "Female Athlete Triad," occurs when energy intake is insufficient to support the demands of training. It affects both male and female athletes and can lead to menstrual dysfunction, decreased bone mineral density, impaired immunity, cardiovascular issues, and decreased performance. Athletes who are pressured to reduce their BMI to "normal" ranges -- whether by coaches, sports organizations, or well-meaning healthcare providers who do not understand athletic body composition -- are at increased risk for RED-S. Body fat percentage, not BMI, should be the guiding metric, and no athlete should drop below essential fat levels (5% men, 13% women) regardless of what their BMI reads.
Rather than comparing yourself to general population BMI charts, compare your body composition to athletes in your specific sport and position. If you are a male rugby forward with 15% body fat and a BMI of 31, you are right in line with elite-level peers. If you are a female distance runner with 22% body fat and a BMI of 21, that is appropriate for your sport. Sport-specific norms provide far more actionable guidance than universal BMI categories. Sports science literature, national governing body guidelines, and experienced sports dietitians can provide relevant benchmarks for your discipline.
Many athletes benefit from periodizing body composition alongside their training. A strength athlete might carry more body fat during a hypertrophy or strength phase when caloric surplus supports training, then lean out during a competition preparation phase. A team sport athlete might be slightly heavier in the off-season and leaner during the competitive season. Endurance athletes often achieve their leanest condition for peak races while carrying slightly more body fat during base training. This periodization approach acknowledges that there is no single "ideal" body composition -- it changes with the phase of training and competitive calendar.
Despite its limitations for athletic populations, BMI is not entirely useless for athletes. There are specific contexts where it retains value.
When sports organizations, military branches, or research institutions need to screen large numbers of people quickly, BMI provides a fast initial filter. It is cheap, requires no special equipment, and is easy to standardize. The key is using it as a first step -- a screening tool that triggers more detailed assessment when values are elevated -- rather than as a definitive diagnosis. This is exactly how the US military uses it: soldiers who exceed BMI-based weight tables are then assessed with the tape test (body fat measurement), and the body fat result, not the BMI, determines their status.
For athletes in sports where body composition tends to be closer to population averages -- distance runners, cyclists, swimmers, and recreational athletes who do not carry extreme muscle mass -- BMI is a more reasonable approximation. If you are a recreational jogger with a BMI of 27 and do not regularly strength train, BMI is probably reflecting genuine excess body fat rather than muscle mass. The "BMI is useless" argument applies most strongly to strength-trained athletes; for the average fitness enthusiast, it is still a useful if imperfect metric.
If an athlete's BMI changes dramatically in a short period -- especially in the upward direction without a corresponding increase in training load -- it may indicate genuine fat gain worth investigating. A retired football lineman whose BMI stays at 34 but who is no longer training and has lost muscle while gaining fat is in a different health situation than he was as an active player. BMI can serve as a simple early warning system for athletes in transition (retirement, injury, off-season) to prompt a more thorough body composition assessment.
BMI becomes more useful when combined with other measurements. BMI plus waist circumference, BMI plus body fat percentage, or BMI plus FFMI provides a much more complete picture than any single metric alone. Research consistently shows that cardiometabolic risk is best predicted by combining multiple anthropometric measures rather than relying on any single one. An athlete with a BMI of 28, a waist-to-hip ratio of 0.82, and body fat of 11% is clearly healthy; BMI alone would have raised a flag, but the combination of metrics tells the full story.
Common questions about BMI, body composition, and body fat assessment for athletes.
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