{"id":40,"date":"2019-10-31T11:48:14","date_gmt":"2019-10-31T11:48:14","guid":{"rendered":"http:\/\/www.inbody.in\/blog\/?p=40"},"modified":"2026-10-05T10:53:19","modified_gmt":"2026-10-05T10:53:19","slug":"are-you-a-fitness-ista","status":"publish","type":"post","link":"https:\/\/www.inbody.in\/blog\/are-you-a-fitness-ista","title":{"rendered":"BMI vs Body Composition: The Truth About Fitness BMI Misses"},"content":{"rendered":"\n<p><strong>Fitness is not a number on a scale.<\/strong> Yet most of us still judge our health by weight alone. In fact, BMI, the most widely used measure for diagnosing obesity<sup class=\"ib-cite\"><a href=\"#ref-1\">[1]<\/a><\/sup>, was never designed to measure fitness at all. Furthermore, it cannot distinguish fat from muscle, and it has no way to detect the dangerous visceral fat that builds up around your organs. As a result, many people who appear &#8220;healthy&#8221; by BMI standards are, in reality, carrying excess body fat and added metabolic risk<sup class=\"ib-cite\"><a href=\"#ref-2\">[2]<\/a><\/sup>.<\/p>\n\n\n\n<p>Consequently, the question is not how much you weigh. The real question is: what is your body actually made of? In this article, we break down the 5 body composition metrics that tell the truth about your fitness and explain why InBody&#8217;s <a href=\"https:\/\/www.inbody.in\/blog\/what-is-body-composition\">body composition analysis<\/a> can measure all of them in a single scan.<\/p>\n\n\n\n<figure class=\"wp-block-table alignwide\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>DEXA<\/strong><br>Independent studies have compared InBody devices against DEXA, the reference method<sup class=\"ib-cite\"><a href=\"#ref-3\">[3]<\/a><\/sup><sup class=\"ib-cite\"><a href=\"#ref-4\">[4]<\/a><\/sup><\/td><td><strong>60 sec<\/strong><br>Time for a complete InBody scan<\/td><td><strong>5<\/strong><br>Key metrics BMI completely misses<\/td><td><strong>101M<\/strong><br>Indians estimated to be living with diabetes<sup class=\"ib-cite\"><a href=\"#ref-5\">[5]<\/a><\/sup><sup class=\"ib-cite\"><a href=\"#ref-6\">[6]<\/a><\/sup><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-is-bmi\">What Is BMI And Why Does It Fall Short?<\/h2>\n\n\n\n<p>BMI, or Body Mass Index, is calculated using just two numbers: your weight and your height. It grew out of the Quetelet Index, described in 1832 by the statistician Adolphe Quetelet in his studies of populations rather than individuals, and was named the Body Mass Index in 1972<sup class=\"ib-cite\"><a href=\"#ref-7\">[7]<\/a><\/sup>. Moreover, it was not designed to assess an individual&#8217;s muscle health or metabolic risk in a clinical setting, and it is only an indirect proxy for body fat.<\/p>\n\n\n\n<p>Despite this, BMI became the global default for health screening. However, the problems are significant. <strong>BMI cannot tell the difference between fat and muscle.<\/strong> A fit athlete with high muscle mass can register as &#8220;overweight&#8221; or even &#8220;obese&#8221; by BMI<sup class=\"ib-cite\"><a href=\"#ref-8\">[8]<\/a><\/sup>. Meanwhile, a sedentary person with low muscle and high hidden fat can score in the &#8220;healthy&#8221; range and go undetected<sup class=\"ib-cite\"><a href=\"#ref-2\">[2]<\/a><\/sup>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1726\" height=\"911\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9.webp\" alt=\"\" class=\"wp-image-3896\" srcset=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9.webp 1726w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9-300x158.webp 300w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9-1024x540.webp 1024w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9-768x405.webp 768w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/06\/hhlijtajkabjwvkgxib9-1536x811.webp 1536w\" sizes=\"auto, (max-width: 1726px) 100vw, 1726px\" \/><\/figure>\n\n\n\n<p class=\"has-warning-background-color has-background\"><strong>WHY THIS MATTERS ESPECIALLY FOR INDIANS<\/strong><br><br>Research shows that <strong>South Asian patients develop metabolic disease at BMI levels that Western guidelines classify as healthy.<\/strong> In a large English cohort, the BMI that carried the same Type 2 diabetes risk as a BMI of 30 in White people was 23.9 for South Asian people<sup class=\"ib-cite\"><a href=\"#ref-9\">[9]<\/a><\/sup>, and a WHO expert consultation noted that a substantial proportion of Asians are at high risk of diabetes and cardiovascular disease at a BMI below 25<sup class=\"ib-cite\"><a href=\"#ref-10\">[10]<\/a><\/sup>. The &#8220;thin-fat Indian&#8221; phenotype, relatively low muscle mass but preserved or high body fat, has been described in Indian populations from birth<sup class=\"ib-cite\"><a href=\"#ref-11\">[11]<\/a><\/sup>. As a result, using BMI alone can lead to under-detection of real metabolic risk. <a href=\"https:\/\/www.inbody.in\/blog\/just-a-weight-loss-procedure-bariatric-surgery-today-is-saving-lives\">Learn more about the thin-fat Indian phenomenon.<\/a><\/p>\n\n\n\n\n<figure class=\"ib-auto-img\" style=\"margin:28px auto;text-align:center;max-width:640px;\"><img decoding=\"async\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2026\/08\/inbody-270-body-composition-analyzer.jpg\" alt=\"InBody 270 body composition analyzer used in Indian gyms and clinics\" width=\"640\" loading=\"lazy\" style=\"max-width:100%;height:auto;border-radius:10px;\" \/><figcaption style=\"font-size:13px;color:#666;margin-top:8px;\">InBody 270 body composition analyzer used in Indian gyms and clinics<\/figcaption><\/figure>\n<h2 class=\"wp-block-heading\" id=\"five-metrics\">The 5 Body Composition Metrics That Actually Measure Fitness<\/h2>\n\n\n\n<p>Instead of relying on BMI, body composition analysis gives you a full, detailed picture of what your body is made of. Specifically, InBody measures five key markers that BMI completely ignores. Each one tells a different, critical part of your fitness story.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"body-fat-percentage\">1. Body Fat Percentage: Not Just How Much Fat, But How Much Is Too Much<\/h3>\n\n\n\n<p><strong>Body fat percentage<\/strong> tells you what proportion of your total body weight is fat tissue. This is fundamentally different from BMI, which only uses weight and height. For example, two people can have identical BMIs of 24 but very different body fat levels: one at 18% (athletic) and one at 34% (high).<\/p>\n\n\n\n<p>Furthermore, the healthy range for body fat percentage differs between men and women, and between Indian and Western populations: Asian populations generally have 3 to 5 percentage points more body fat than Caucasians at the same BMI<sup class=\"ib-cite\"><a href=\"#ref-12\">[12]<\/a><\/sup>, and a DXA study of Indian adults found that 25% (men) and 30% (women) body fat corresponded to a BMI of only about 22<sup class=\"ib-cite\"><a href=\"#ref-13\">[13]<\/a><\/sup>. InBody applies population-specific reference ranges, which are especially important for Indian patients.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"630\" height=\"133\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/Screenshot-2026-05-19-094646.png\" alt=\"\" class=\"wp-image-3906\" srcset=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/Screenshot-2026-05-19-094646.png 630w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/Screenshot-2026-05-19-094646-300x63.png 300w\" sizes=\"auto, (max-width: 630px) 100vw, 630px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"skeletal-muscle-mass\">2. Skeletal Muscle Mass: The Most Underrated Fitness Metric<\/h3>\n\n\n\n<p><strong>Skeletal muscle mass<\/strong> is the total amount of lean muscle in your body. It is arguably the most important and most overlooked fitness metric. In addition to making you stronger, muscle mass influences how well your body processes glucose. In fact, skeletal muscle accounts for approximately <strong>80% of insulin-stimulated glucose uptake<\/strong> in laboratory clamp studies<sup class=\"ib-cite\"><a href=\"#ref-14\">[14]<\/a><\/sup>. This helps explain why, in a large US survey, higher relative muscle mass was associated with lower insulin resistance and a lower prevalence of prediabetes, even after adjusting for body fat<sup class=\"ib-cite\"><a href=\"#ref-15\">[15]<\/a><\/sup>.<\/p>\n\n\n\n<p>Moreover, low skeletal muscle mass is not only a problem of the very old in India. Sarcopenia, the age-related loss of muscle mass and function, was found in about 10% of adults aged 40 and above (mean age 53) in a DXA-based study near Pune, and it was more common in rural residents and in people with inadequate protein intake<sup class=\"ib-cite\"><a href=\"#ref-16\">[16]<\/a><\/sup>. Prevalence estimates across Indian studies vary widely, partly because different diagnostic criteria are used<sup class=\"ib-cite\"><a href=\"#ref-17\">[17]<\/a><\/sup>.<\/p>\n\n\n\n<p class=\"has-pale-cyan-blue-background-color has-background\"><strong>KEY INSIGHT<\/strong><br>BMI goes up when you gain muscle and goes down when you lose it, making it actively misleading for anyone doing resistance training. <strong>InBody measures skeletal muscle mass directly,<\/strong> so you know exactly whether changes in your body are coming from fat loss, muscle gain, or both.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"visceral-fat\">3. Visceral Fat Level: The Hidden Danger BMI Cannot See<\/h3>\n\n\n\n<p><a href=\"https:\/\/www.inbody.in\/blog\/what-is-visceral-fat-why-is-it-important\"><strong>Visceral fat<\/strong><\/a> is the fat that surrounds your internal organs, such as your liver, pancreas, and intestines. Unlike subcutaneous fat (the fat you can pinch under your skin), visceral fat is metabolically active and is linked to insulin resistance, inflammation, and cardiovascular disease. Consequently, a high visceral fat level is an independent risk marker for Type 2 diabetes and cardiovascular disease<sup class=\"ib-cite\"><a href=\"#ref-18\">[18]<\/a><\/sup>.<\/p>\n\n\n\n<p>BMI has no way to measure visceral fat. Furthermore, in a Canadian study that matched participants by BMI, South Asian participants had relatively more abdominal fat, and more visceral fat in particular, than European participants, and BMI underestimated visceral fat in all non-European groups<sup class=\"ib-cite\"><a href=\"#ref-19\">[19]<\/a><\/sup>. As a result, a person with a BMI in the &#8220;healthy&#8221; range can still carry a high visceral fat level, which BMI cannot reveal.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1536\" height=\"776\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/4.webp\" alt=\"\" class=\"wp-image-3905\" srcset=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/4.webp 1536w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/4-300x152.webp 300w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/4-1024x517.webp 1024w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/4-768x388.webp 768w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"segmental-lean\">4. Segmental Lean Analysis: Where Your Muscle Actually Is<\/h3>\n\n\n\n<p><strong>Segmental lean analysis<\/strong> breaks your muscle mass down by body segment: right arm, left arm, trunk, right leg, and left leg. This level of detail matters for several reasons. First, it can help identify left-right muscle imbalances, which may matter for athletes such as cricketers, tennis players, and runners. Second, it can reveal leg muscle deficits, which are particularly relevant because the legs hold a large share of the body&#8217;s skeletal muscle, the main site of insulin-stimulated glucose uptake<sup class=\"ib-cite\"><a href=\"#ref-14\">[14]<\/a><\/sup>.<\/p>\n\n\n\n<p>In addition, segmental lean analysis allows personal trainers, physiotherapists, and sports medicine doctors to design truly targeted exercise programmes rather than generic plans based only on total weight.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"ecw-tbw\">5. ECW\/TBW Ratio: Your Body&#8217;s Hidden Inflammation Marker<\/h3>\n\n\n\n<p>The <strong>ECW\/TBW ratio<\/strong>, extracellular water to total body water, reflects fluid balance and is used as a marker of cellular health and systemic inflammation<sup class=\"ib-cite\"><a href=\"#ref-20\">[20]<\/a><\/sup>. In healthy adults the BIA-estimated ratio is roughly 0.36 to 0.40, and studies commonly use cut-offs of about 0.390 to 0.400 to define fluid excess (overhydration)<sup class=\"ib-cite\"><a href=\"#ref-21\">[21]<\/a><\/sup>. A high ratio combined with a low phase angle has been associated with poor muscle function in older adults<sup class=\"ib-cite\"><a href=\"#ref-20\">[20]<\/a><\/sup>, and overhydration has been associated with worse outcomes after stroke<sup class=\"ib-cite\"><a href=\"#ref-21\">[21]<\/a><\/sup>, but the ratio is a flag that needs clinical context, not a diagnosis on its own.<\/p>\n\n\n\n<p>Because of this, the ECW\/TBW ratio is an informative marker for clinicians to follow. Nevertheless, it is completely invisible to BMI, standard blood tests, or a weighing scale.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"comparison\">BMI vs Body Composition Analysis: A Direct Comparison<\/h2>\n\n\n\n<figure class=\"wp-block-table alignwide\"><table class=\"has-fixed-layout\"><thead><tr><th>What You Want to Know<\/th><th>BMI<\/th><th>InBody Body Composition<\/th><\/tr><\/thead><tbody><tr><td><strong>Am I carrying too much fat?<\/strong><\/td><td>Partial: weight only, no fat detail<\/td><td>Yes, precise body fat % with Indian-specific ranges<\/td><\/tr><tr><td><strong>Do I have enough muscle?<\/strong><\/td><td>No, cannot measure muscle at all<\/td><td>Yes, skeletal muscle mass in kg vs population norm<\/td><\/tr><tr><td><strong>Is my visceral fat dangerous?<\/strong><\/td><td>No, completely invisible to BMI<\/td><td>Yes, Visceral Fat Level on a 1\u201320 scale<\/td><\/tr><tr><td><strong>Are my muscles balanced left to right?<\/strong><\/td><td>No<\/td><td>Yes, segmental lean analysis per limb<\/td><\/tr><tr><td><strong>Am I inflamed or nutritionally depleted?<\/strong><\/td><td>No<\/td><td>Yes, ECW\/TBW ratio<\/td><\/tr><tr><td><strong>Is my body improving with exercise?<\/strong><\/td><td>Unreliable: muscle gain raises BMI<\/td><td>Yes, tracks fat loss and muscle gain independently<\/td><\/tr><tr><td><strong>Is my result specific to my ethnicity?<\/strong><\/td><td>No, uses Western population norms<\/td><td>Yes, Asian-specific reference values applied<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-it-works\">What Happens When You Get an InBody Scan?<\/h2>\n\n\n\n<p>Getting a <a href=\"https:\/\/www.inbody.in\/blog\/understanding-bioelectrical-impedance-analysis\">body composition scan with InBody<\/a> is quick, non-invasive, and completely safe. Here is exactly what the process looks like from start to finish.<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Remove shoes and socks.<\/strong> Stand barefoot on the InBody device. The scan requires direct electrode contact with the soles of your feet.<\/li>\n\n\n\n<li><strong>Hold the hand electrodes.<\/strong> Grip the hand-held electrodes firmly with both hands. The device now has contact points at all four limbs plus the trunk.<\/li>\n\n\n\n<li><strong>Stay still for 60 seconds.<\/strong> A safe, low-level electrical current passes through your body. You feel nothing. The device measures impedance (resistance to the current) at six different frequencies through each body segment.<\/li>\n\n\n\n<li><strong>Collect your result sheet.<\/strong> Your InBody result sheet is printed immediately. It shows all five key metrics: body fat percentage, skeletal muscle mass, visceral fat level, segmental lean analysis, and ECW\/TBW ratio, alongside your InBody Score, a single composite number from 0\u2013100.<\/li>\n<\/ol>\n\n\n\n<p class=\"has-pale-cyan-blue-background-color has-background\"><strong>SAFETY NOTE<\/strong><br>InBody scanning is safe for most people. It is non-invasive, radiation-free, and takes under 60 seconds. The only exceptions are people with pacemakers or implanted defibrillators and pregnant women. If in doubt, consult your doctor before scanning.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"real-results\">What InBody Data Can Show in Practice<\/h2>\n\n\n\n<p>Body composition analysis is not just a clinical tool. In practice, it changes the way people approach their own health because it replaces vague, unmotivating numbers with specific, personal, and actionable data.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1654\" height=\"2339\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1.webp\" alt=\"\" class=\"wp-image-3301\" srcset=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1.webp 1654w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1-212x300.webp 212w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1-724x1024.webp 724w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1-768x1086.webp 768w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1-1086x1536.webp 1086w, https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2019\/10\/InBody580-Result-Sheet-1-1448x2048.webp 1448w\" sizes=\"auto, (max-width: 1654px) 100vw, 1654px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"case-study\">Illustrative Example: The &#8220;Fit&#8221; Professional Who Was Not<\/h3>\n\n\n\n<p>A 38-year-old marketing professional in Bengaluru had a BMI of 23.4. By every standard measure, she was in the healthy range. She exercised three times a week and ate a balanced vegetarian diet. Nevertheless, she felt consistently low on energy and had been told her fasting glucose was &#8220;borderline.&#8221;<\/p>\n\n\n\n<p>Her InBody scan told a different story. Specifically, it revealed a Visceral Fat Level of 11 (high risk), Body Fat Percentage of 33.8% (high), and Skeletal Muscle Mass 2.6 kg below norm for her age and height. In other words, she was a textbook example of the thin-fat Indian phenotype, and BMI had missed it entirely.<\/p>\n\n\n\n<p>After a 12-week programme of targeted resistance training and higher-protein meals designed around her InBody results, her next scan showed a visceral fat reduction of 3 units, a gain of 1.9 kg of muscle mass, and a normalisation of her fasting glucose. Consequently, her energy levels improved significantly and her doctor removed the borderline glucose flag.<\/p>\n\n\n\n<figure class=\"wp-block-table alignwide\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>\u21933 units<\/strong><br>Visceral Fat Level reduction<\/td><td><strong>+1.9 kg<\/strong><br>Skeletal Muscle Mass gained<\/td><td><strong>\u21935.2%<\/strong><br>Body Fat Percentage reduction<\/td><td><strong>Normal<\/strong><br>Fasting glucose at 12 weeks<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"who-should-scan\">Who Should Get a Body Composition Scan?<\/h2>\n\n\n\n<p>Body composition analysis is relevant for almost everyone, not just people who are overweight or unwell. In fact, the following groups benefit most from regular InBody scanning:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>People with a normal BMI but low energy or poor blood sugar:<\/strong><br>Even if your BMI is healthy, you may still feel unwell. In such cases, a body composition scan can help. It shows whether hidden fat or low muscle is the real issue.<\/li>\n\n\n\n<li><strong>People trying to lose weight:<\/strong> Rather than tracking weight alone, InBody tells you whether you are losing fat or muscle, which makes all the difference to your long-term health.<\/li>\n\n\n\n<li><strong>People who exercise regularly:<\/strong> Athletes and gym-goers need to track muscle gains and fat changes separately. BMI cannot do this. InBody can.<\/li>\n\n\n\n<li><strong>People over 40:<\/strong> Muscle mass tends to decline with age<sup class=\"ib-cite\"><a href=\"#ref-22\">[22]<\/a><\/sup>. Regular scanning helps detect decline early, before it becomes clinically significant sarcopenia.<\/li>\n\n\n\n<li><strong>People with prediabetes or metabolic syndrome:<\/strong> InBody provides the visceral fat and muscle mass data that doctors need to target treatment precisely.<\/li>\n\n\n\n<li><strong>Corporate employees with sedentary lifestyles:<\/strong> Long hours of sitting are associated with poorer health outcomes<sup class=\"ib-cite\"><a href=\"#ref-23\">[23]<\/a><\/sup>, and people who look slim can still carry excess body fat<sup class=\"ib-cite\"><a href=\"#ref-2\">[2]<\/a><\/sup>. Regular scanning can help identify this early.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">Frequently Asked Questions<\/h2>\n\n\n\n<div class=\"wp-block-esab-accordion esab-xy69z6qg\" data-mode=\"global\"><div class=\"esab__container\">\n<div class=\"wp-block-esab-accordion-child\"><div class=\"esab__head\" role=\"button\" aria-expanded=\"false\"><div class=\"esab__heading_txt\"><p class=\"esab__heading_tag\">Q. Is BMI completely useless?<\/p><\/div><div class=\"esab__icon\"><div class=\"esab__collapse\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m3.5 20.5c-4.7-4.7-4.7-12.3 0-17 4.7-4.7 12.3-4.7 17 0 4.6 4.7 4.6 12.3 0 17-4.7 4.6-12.3 4.6-17 0zm0.9-0.9c4.2 4.2 11 4.2 15.2 0 4.2-4.2 4.2-11 0-15.2-4.2-4.3-11-4.3-15.2 0-4.3 4.2-4.3 11 0 15.2z\"><\/path><path d=\"m11.4 15.9v-3.3h-3.3c-0.3 0-0.6-0.3-0.6-0.6 0-0.4 0.3-0.6 0.6-0.6h3.3v-3.3c0-0.3 0.3-0.6 0.6-0.6 0.3 0 0.6 0.3 0.6 0.6v3.3h3.3c0.3 0 0.6 0.2 0.6 0.6q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2h-3.3v3.3q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2c-0.4 0-0.6-0.3-0.6-0.6z\"><\/path><\/svg> <\/div><div class=\"esab__expand\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m12 24c-6.6 0-12-5.4-12-12 0-6.6 5.4-12 12-12 6.6 0 12 5.4 12 12 0 6.6-5.4 12-12 12zm10.6-12c0-5.9-4.7-10.6-10.6-10.6-5.9 0-10.6 4.7-10.6 10.6 0 5.9 4.7 10.6 10.6 10.6 5.9 0 10.6-4.7 10.6-10.6z\"><\/path><path d=\"m5.6 11.3h12.8v1.4h-12.8z\"><\/path><\/svg> <\/div><\/div><\/div><div class=\"esab__body\">\n<p>BMI is a useful tool for studying large populations at a statistical level. However, it is a poor tool for assessing an individual&#8217;s fitness or metabolic health, especially for Indian patients. As a result, recent expert guidance, such as the 2025 Lancet Diabetes &#038; Endocrinology Commission on clinical obesity, recommends confirming excess body fat with a direct body-fat measurement or at least one other measure, such as waist circumference, in addition to BMI<sup class=\"ib-cite\"><a href=\"#ref-24\">[24]<\/a><\/sup>.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-esab-accordion esab-7aywicex\" data-mode=\"global\"><div class=\"esab__container\">\n<div class=\"wp-block-esab-accordion-child\"><div class=\"esab__head\" role=\"button\" aria-expanded=\"false\"><div class=\"esab__heading_txt\"><p class=\"esab__heading_tag\">Q. How often should I get a body composition scan?<\/p><\/div><div class=\"esab__icon\"><div class=\"esab__collapse\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m3.5 20.5c-4.7-4.7-4.7-12.3 0-17 4.7-4.7 12.3-4.7 17 0 4.6 4.7 4.6 12.3 0 17-4.7 4.6-12.3 4.6-17 0zm0.9-0.9c4.2 4.2 11 4.2 15.2 0 4.2-4.2 4.2-11 0-15.2-4.2-4.3-11-4.3-15.2 0-4.3 4.2-4.3 11 0 15.2z\"><\/path><path d=\"m11.4 15.9v-3.3h-3.3c-0.3 0-0.6-0.3-0.6-0.6 0-0.4 0.3-0.6 0.6-0.6h3.3v-3.3c0-0.3 0.3-0.6 0.6-0.6 0.3 0 0.6 0.3 0.6 0.6v3.3h3.3c0.3 0 0.6 0.2 0.6 0.6q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2h-3.3v3.3q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2c-0.4 0-0.6-0.3-0.6-0.6z\"><\/path><\/svg> <\/div><div class=\"esab__expand\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m12 24c-6.6 0-12-5.4-12-12 0-6.6 5.4-12 12-12 6.6 0 12 5.4 12 12 0 6.6-5.4 12-12 12zm10.6-12c0-5.9-4.7-10.6-10.6-10.6-5.9 0-10.6 4.7-10.6 10.6 0 5.9 4.7 10.6 10.6 10.6 5.9 0 10.6-4.7 10.6-10.6z\"><\/path><path d=\"m5.6 11.3h12.8v1.4h-12.8z\"><\/path><\/svg> <\/div><\/div><\/div><div class=\"esab__body\">\n<p>For most people, scanning every 8\u201312 weeks gives enough time for meaningful changes to show up in the data. However, if you are actively working on a fitness or weight-loss programme, scanning every 4\u20136 weeks allows you to track progress more precisely and adjust your plan accordingly.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-esab-accordion-child\"><div class=\"esab__head\" role=\"button\" aria-expanded=\"false\"><div class=\"esab__heading_txt\"><p class=\"esab__heading_tag\">Q. Is InBody scanning safe for elderly patients?<\/p><\/div><div class=\"esab__icon\"><div class=\"esab__collapse\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m3.5 20.5c-4.7-4.7-4.7-12.3 0-17 4.7-4.7 12.3-4.7 17 0 4.6 4.7 4.6 12.3 0 17-4.7 4.6-12.3 4.6-17 0zm0.9-0.9c4.2 4.2 11 4.2 15.2 0 4.2-4.2 4.2-11 0-15.2-4.2-4.3-11-4.3-15.2 0-4.3 4.2-4.3 11 0 15.2z\"><\/path><path d=\"m11.4 15.9v-3.3h-3.3c-0.3 0-0.6-0.3-0.6-0.6 0-0.4 0.3-0.6 0.6-0.6h3.3v-3.3c0-0.3 0.3-0.6 0.6-0.6 0.3 0 0.6 0.3 0.6 0.6v3.3h3.3c0.3 0 0.6 0.2 0.6 0.6q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2h-3.3v3.3q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2c-0.4 0-0.6-0.3-0.6-0.6z\"><\/path><\/svg> <\/div><div class=\"esab__expand\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m12 24c-6.6 0-12-5.4-12-12 0-6.6 5.4-12 12-12 6.6 0 12 5.4 12 12 0 6.6-5.4 12-12 12zm10.6-12c0-5.9-4.7-10.6-10.6-10.6-5.9 0-10.6 4.7-10.6 10.6 0 5.9 4.7 10.6 10.6 10.6 5.9 0 10.6-4.7 10.6-10.6z\"><\/path><path d=\"m5.6 11.3h12.8v1.4h-12.8z\"><\/path><\/svg> <\/div><\/div><\/div><div class=\"esab__body\">\n<p>Yes. InBody scanning is non-invasive, radiation-free, and takes under 60 seconds. It is safe for most elderly patients. The Asian Working Group for Sarcopenia (AWGS) 2019 consensus accepts bioelectrical impedance, alongside DXA, for measuring muscle mass and uses Asian-specific cut-offs for low muscle mass<sup class=\"ib-cite\"><a href=\"#ref-25\">[25]<\/a><\/sup>.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-esab-accordion-child\"><div class=\"esab__head\" role=\"button\" aria-expanded=\"false\"><div class=\"esab__heading_txt\"><p class=\"esab__heading_tag\">Q. Where can I get an InBody scan in India?<\/p><\/div><div class=\"esab__icon\"><div class=\"esab__collapse\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m3.5 20.5c-4.7-4.7-4.7-12.3 0-17 4.7-4.7 12.3-4.7 17 0 4.6 4.7 4.6 12.3 0 17-4.7 4.6-12.3 4.6-17 0zm0.9-0.9c4.2 4.2 11 4.2 15.2 0 4.2-4.2 4.2-11 0-15.2-4.2-4.3-11-4.3-15.2 0-4.3 4.2-4.3 11 0 15.2z\"><\/path><path d=\"m11.4 15.9v-3.3h-3.3c-0.3 0-0.6-0.3-0.6-0.6 0-0.4 0.3-0.6 0.6-0.6h3.3v-3.3c0-0.3 0.3-0.6 0.6-0.6 0.3 0 0.6 0.3 0.6 0.6v3.3h3.3c0.3 0 0.6 0.2 0.6 0.6q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2h-3.3v3.3q0 0.2-0.2 0.4-0.2 0.2-0.4 0.2c-0.4 0-0.6-0.3-0.6-0.6z\"><\/path><\/svg> <\/div><div class=\"esab__expand\"> <svg version=\"1.2\" viewBox=\"0 0 24 24\" width=\"24\" height=\"24\"><path fill-rule=\"evenodd\" d=\"m12 24c-6.6 0-12-5.4-12-12 0-6.6 5.4-12 12-12 6.6 0 12 5.4 12 12 0 6.6-5.4 12-12 12zm10.6-12c0-5.9-4.7-10.6-10.6-10.6-5.9 0-10.6 4.7-10.6 10.6 0 5.9 4.7 10.6 10.6 10.6 5.9 0 10.6-4.7 10.6-10.6z\"><\/path><path d=\"m5.6 11.3h12.8v1.4h-12.8z\"><\/path><\/svg> <\/div><\/div><\/div><div class=\"esab__body\">\n<p>InBody scanners are available at leading hospitals, fitness centres, corporate wellness programmes, and sports medicine facilities across India, including Mumbai, Delhi, Bengaluru, Chennai, Hyderabad, and Pune. <a href=\"https:\/\/www.inbody.in\">Find an InBody scanner near you.<\/a> Scans typically take under 60 seconds, and results are available immediately.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"takeaways\">Key Takeaways<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>BMI was designed for population statistics, <strong>not for measuring individual fitness or metabolic health.<\/strong><\/li>\n\n\n\n<li>Body fat percentage, skeletal muscle mass, visceral fat level, segmental lean analysis, and ECW\/TBW ratio are the <strong>5 metrics that truly define fitness.<\/strong><\/li>\n\n\n\n<li><strong>Indians may be especially affected<\/strong> by BMI&#8217;s blind spots. The thin-fat Indian phenotype means serious metabolic risk can be missed.<\/li>\n\n\n\n<li>InBody delivers all 5 key metrics in under 60 seconds, and <strong>independent studies report close agreement with DEXA, with some systematic bias<\/strong><sup class=\"ib-cite\"><a href=\"#ref-3\">[3]<\/a><\/sup><sup class=\"ib-cite\"><a href=\"#ref-4\">[4]<\/a><\/sup>.<\/li>\n\n\n\n<li>Regular scanning every 8\u201312 weeks <strong>tracks the real impact of your diet and exercise programme<\/strong> with a precision that a weighing scale cannot match.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">See What Your Body Is Really Made Of<\/h3>\n\n\n\n<p>An InBody scan takes under 60 seconds and gives you the body composition data your doctor needs to provide truly personalised, evidence-based care.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter is-resized\"><a class=\"custom-logo-link\" href=\"https:\/\/www.inbody.in\/blog\/\"><img decoding=\"async\" src=\"https:\/\/www.inbody.in\/blog\/wp-content\/uploads\/2025\/05\/cropped-CI_Main_Version_RGB.png\" alt=\"Inbody Blog\" style=\"width:288px;height:auto\"\/><\/a><\/figure>\n<\/div>\n\n\n<p class=\"has-text-align-center\"><a href=\"https:\/\/www.inbody.in\/locations\/\"><strong>Find an InBody Scanner Near You<\/strong><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"references\">References<\/h2>\n<ol class=\"ib-refs\">\n<li id=\"ref-1\">Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, et al. Accuracy of body mass index in diagnosing obesity in the adult general population. <em>Int J Obes (Lond)<\/em>. 2008;32(6):959-966. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/18283284\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1038\/ijo.2008.11\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-2\">Romero-Corral A, Somers VK, Sierra-Johnson J, Korenfeld Y, Boarin S, Korinek J, et al. Normal weight obesity: a risk factor for cardiometabolic dysregulation and cardiovascular mortality. <em>Eur Heart J<\/em>. 2010;31(6):737-746. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/19933515\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1093\/eurheartj\/ehp487\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-3\">McLester CN, Nickerson BS, Kliszczewicz BM, McLester JR. Reliability and Agreement of Various InBody Body Composition Analyzers as Compared to Dual-Energy X-Ray Absorptiometry in Healthy Men and Women. <em>J Clin Densitom<\/em>. 2020;23(3):443-450. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/30472111\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/j.jocd.2018.10.008\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-4\">Anderson LJ, Erceg DN, Schroeder ET. Utility of multifrequency bioelectrical impedance compared with dual-energy x-ray absorptiometry for assessment of total and regional body composition varies between men and women. <em>Nutr Res<\/em>. 2012;32(7):479-485. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/22901555\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/j.nutres.2012.05.009\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-5\">Anjana RM, Unnikrishnan R, Deepa M, Pradeepa R, Tandon N, Das AK, et al. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). <em>Lancet Diabetes Endocrinol<\/em>. 2023;11(7):474-489. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/37301218\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/s2213-8587(23)00119-5\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-6\">Mohan V, Anjana RM, Tandon N. Lessons Learnt from the ICMR-INDIAB Study. <em>Natl Med J India<\/em>. 2023;36(3):137-139. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38692603\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.25259\/nmji_655_23\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-7\">Eknoyan G. Adolphe Quetelet (1796-1874)&#8211;the average man and indices of obesity. <em>Nephrol Dial Transplant<\/em>. 2008;23(1):47-51. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17890752\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1093\/ndt\/gfm517\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-8\">Ode JJ, Pivarnik JM, Reeves MJ, Knous JL. Body mass index as a predictor of percent fat in college athletes and nonathletes. <em>Med Sci Sports Exerc<\/em>. 2007;39(3):403-409. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17473765\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1249\/01.mss.0000247008.19127.3e\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-9\">Caleyachetty R, Barber TM, Mohammed NI, Cappuccio FP, Hardy R, Mathur R, et al. Ethnicity-specific BMI cutoffs for obesity based on type 2 diabetes risk in England: a population-based cohort study. <em>Lancet Diabetes Endocrinol<\/em>. 2021;9(7):419-426. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33989535\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/s2213-8587(21)00088-7\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-10\">WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. <em>Lancet<\/em>. 2004;363(9403):157-163. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/14726171\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/s0140-6736(03)15268-3\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-11\">Yajnik CS, Fall CH, Coyaji KJ, Hirve SS, Rao S, Barker DJ, et al. Neonatal anthropometry: the thin-fat Indian baby. The Pune Maternal Nutrition Study. <em>Int J Obes Relat Metab Disord<\/em>. 2003;27(2):173-180. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12586996\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1038\/sj.ijo.802219\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-12\">Deurenberg P, Deurenberg-Yap M, Guricci S. Asians are different from Caucasians and from each other in their body mass index\/body fat per cent relationship. <em>Obes Rev<\/em>. 2002;3(3):141-146. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/12164465\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1046\/j.1467-789x.2002.00065.x\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-13\">Marwaha RK, Tandon N, Garg MK, Narang A, Mehan N, Bhadra K. 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Findings from the third National Health and Nutrition Examination Survey. <em>J Clin Endocrinol Metab<\/em>. 2011;96(9):2898-2903. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/21778224\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1210\/jc.2011-0435\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-16\">Bhat G, Ireland A, Shah N, Gondhalekar K, Mandlik R, Kajale N, et al. Prevalence and factors associated with sarcopenia among urban and rural Indian adults in middle age: A cross-sectional study from Western India. <em>PLOS Glob Public Health<\/em>. 2024;4(10):e0003553. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/39352920\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1371\/journal.pgph.0003553\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-17\">Kaviprawin M, Gurusamy G, George CE, Thomas A, Saminathan MB, Kathiresan L, et al. Prevalence and diagnostic variability of sarcopenia in India: A systematic review and meta-analysis. <em>Indian J Med Res<\/em>. 2026;164(3):423-434. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/42690861\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.25259\/ijmr_881_2026\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-18\">Neeland IJ, Ross R, Despr\u00e9s JP, Matsuzawa Y, Yamashita S, Shai I, et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. <em>Lancet Diabetes Endocrinol<\/em>. 2019;7(9):715-725. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/31301983\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/s2213-8587(19)30084-1\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-19\">Lear SA, Humphries KH, Kohli S, Chockalingam A, Frohlich JJ, Birmingham CL. Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT). <em>Am J Clin Nutr<\/em>. 2007;86(2):353-359. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/17684205\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1093\/ajcn\/86.2.353\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-20\">Lai TF, Park JH, Jang M, Chen J, Shin MJ, Moon E, et al. Elevated extracellular water to total body water ratio and low phase angle in relation to muscle function in middle-aged and older adults. <em>J Int Soc Sports Nutr<\/em>. 2025;22(1):2536693. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/40771175\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1080\/15502783.2025.2536693\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-21\">Akimoto T, Tasaki K, Ishihara M, Hara M, Nakajima H. Association of Body Water Balance, Nutritional Risk, and Sarcopenia with Outcome in Patients with Acute Ischemic Stroke: A Single-Center Prospective Study. <em>Nutrients<\/em>. 2024;16(13):2165. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/38999913\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.3390\/nu16132165\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-22\">Volpi E, Nazemi R, Fujita S. Muscle tissue changes with aging. <em>Curr Opin Clin Nutr Metab Care<\/em>. 2004;7(4):405-410. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/15192443\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1097\/01.mco.0000134362.76653.b2\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-23\">Bull FC, Al-Ansari SS, Biddle S, Borodulin K, Buman MP, Cardon G, et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. <em>Br J Sports Med<\/em>. 2020;54(24):1451-1462. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/33239350\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1136\/bjsports-2020-102955\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-24\">Rubino F, Cummings DE, Eckel RH, Cohen RV, Wilding JPH, Brown WA, et al. Definition and diagnostic criteria of clinical obesity. <em>Lancet Diabetes Endocrinol<\/em>. 2025;13(3):221-262. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/39824205\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/s2213-8587(24)00316-4\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<li id=\"ref-25\">Chen LK, Woo J, Assantachai P, Auyeung TW, Chou MY, Iijima K, et al. Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. <em>J Am Med Dir Assoc<\/em>. 2020;21(3):300-307.e2. <a href=\"https:\/\/pubmed.ncbi.nlm.nih.gov\/32033882\/\" target=\"_blank\" rel=\"noopener noreferrer\">PubMed<\/a> \u00b7 <a href=\"https:\/\/doi.org\/10.1016\/j.jamda.2019.12.012\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/li>\n<\/ol>\n\n","protected":false},"excerpt":{"rendered":"<p>Fitness is not a number on a scale. Yet most of us still judge our health by weight alone. In fact, BMI, the most widely used measure for\u2026<\/p>\n","protected":false},"author":1,"featured_media":4274,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[9],"tags":[33],"class_list":["post-40","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-body","tag-nutrition"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>BMI vs Body Composition: The Truth About Fitness BMI Misses<\/title>\n<meta name=\"description\" content=\"BMI was never designed to measure fitness. It can&#039;t tell fat from muscle. 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