{"id":74,"date":"2019-06-21T12:35:52","date_gmt":"2019-06-21T12:35:52","guid":{"rendered":"http:\/\/www.inbody.in\/blog\/?p=74"},"modified":"2026-10-05T10:53:23","modified_gmt":"2026-10-05T10:53:23","slug":"bariatric-surgery-today-how-its-saving-lives-beyond-weight-loss","status":"publish","type":"post","link":"https:\/\/www.inbody.in\/blog\/bariatric-surgery-today-how-its-saving-lives-beyond-weight-loss","title":{"rendered":"Bariatric Surgery Today: How It’s Saving Lives Beyond Weight Loss"},"content":{"rendered":"\n

There is a serious gap in how healthcare works in India. The country has one of the world\u2019s largest numbers of people with diabetes, second only to China in International Diabetes Federation estimates.[1]<\/a><\/sup> At the same time, metabolic disorders are rising rapidly.[2]<\/a><\/sup> Additionally,<\/strong> another growing concern is sarcopenic obesity, where people have high body fat but low muscle mass.<\/p>\n\n\n\n

In many cases,<\/strong> these patients look normal from the outside. Their weight appears healthy. However,<\/strong> their internal health tells a very different story. As a result,<\/strong> many serious problems go unnoticed.<\/p>\n\n\n\n

South Asians tend to carry more visceral fat than Europeans of the same BMI, so BMI can underestimate it.[3]<\/a><\/sup> At the same time,<\/strong> muscle mass declines with age.[4]<\/a><\/sup> Nutritional deficiencies, such as vitamin D deficiency, are also common.[5]<\/a><\/sup> In addition,<\/strong> many patients do not follow up regularly. Because of all this,<\/strong> traditional methods can fail to give a complete picture.<\/p>\n\n\n\n

This is where InBody body composition analysis becomes important.<\/strong> It uses advanced Bioelectrical Impedance Analysis (BIA). This method gives a detailed view of fat, muscle, and water in the body. As a result,<\/strong> doctors can understand a patient\u2019s real health status.<\/p>\n\n\n\n

The test is quick and simple. It takes less than 60 seconds. Independent studies in healthy adults report that InBody analysers estimate fat and lean mass reasonably well compared with DEXA, although systematic differences exist.[6]<\/a><\/sup>[7]<\/a><\/sup> Therefore,<\/strong> it can support diagnosis and treatment planning.<\/p>\n\n\n\n

101M<\/strong>
Indians estimated to be living with diabetes in 2021 (ICMR-INDIAB survey estimate; the IDF estimate is 74M adults aged 20\u201379, second only to China)[1]<\/a><\/sup>[2]<\/a><\/sup><\/td>		More<\/strong>
visceral fat in South Asians than in Europeans of the same BMI (Canadian study)[3]<\/a><\/sup><\/td>		Validated<\/strong>
InBody estimates compared with DEXA in independent studies, which report reasonable agreement with small systematic differences[6]<\/a><\/sup>[7]<\/a><\/sup><\/td>		60s<\/strong>
Time for a complete InBody body composition scan, from barefoot to full result sheet<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

THE INDIA-SPECIFIC PROBLEM:<\/strong><\/strong><\/strong><\/strong><\/h4>\n\n\n\n

A WHO expert consultation concluded that a substantial proportion of Asians are at high risk of type 2 diabetes and cardiovascular disease at BMIs below 25. It added public-health action points at BMI 23.0 and 27.5 but kept the international 25 and 30 cut-offs.[8]<\/a><\/sup> Indian consensus guidelines define overweight as BMI 23\u201324.9 and obesity as BMI \u226525.[9]<\/a><\/sup> However,<\/strong> BMI alone can still miss some Indians with “normal weight obesity”, a normal or low BMI masking high body fat and visceral fat. Fortunately,<\/strong> InBody can help identify these patients in about 60 seconds.<\/p>\n\n\n\n

Why Standard Screening Fails the Indian Body<\/h2>\n\n\n\n

Clinical tools such as BMI and waist circumference were largely developed on Western populations, and Asian populations have different associations between BMI, body fat percentage, and health risk than Europeans.[8]<\/a><\/sup> Consequently,<\/strong> their reference ranges and thresholds may be calibrated on bodies with different fat distribution patterns, different muscle mass norms, and different metabolic trajectories than the South Asian body.<\/p>\n\n\n\n

The Thin-Fat Indian Phenomenon<\/h3>\n\n\n\n

Research by Professor C.S. Yajnik and colleagues at KEM Hospital, Pune described the \u201cthin-fat Indian\u201d<\/strong> phenotype, first in newborns: Indian babies were small with low muscle mass but relatively preserved body fat.[10]<\/a><\/sup> The term is now used for people who look lean but carry relatively high body fat, including around the organs. At a given BMI, body fat tends to be higher in Indians than in Western populations.[11]<\/a><\/sup>[12]<\/a><\/sup>[3]<\/a><\/sup><\/p>\n\n\n\n

Studies in Indian adults report a similar pattern: in a DXA study of 2,347 Indian adults, body fat was higher than in Western populations for a given age and BMI.[11]<\/a><\/sup> As a result,<\/strong> some Indians may face health risks at lower BMI levels than expected.[8]<\/a><\/sup><\/p>\n\n\n\n

For example,<\/strong> Indian patients may develop insulin resistance, metabolic syndrome, and Type 2 diabetes at lower body weights. They are also at risk even at lower BMI levels compared to Western standards.[8]<\/a><\/sup><\/p>\n\n\n\n

In other words,<\/strong> a BMI of 24 may look \u201chealthy\u201d by the international WHO classification. However,<\/strong> in Indian adults it can still coincide with high body fat: in one DXA study, 25% body fat in men and 30% in women corresponded to a BMI of about 22.[11]<\/a><\/sup><\/p>\n\n\n\n

CLINICAL ALERT FOR INDIAN PRACTITIONERS:<\/strong> <\/strong><\/strong><\/h4>\n\n\n\n

Using a BMI cut-off of 30 to screen for obesity in Indian patients can miss people with clinically significant visceral adiposity and metabolic risk.[8]<\/a><\/sup> In addition,<\/strong> the Indian consensus cut-off for obesity is BMI \u226525 (WHO\u2019s public-health action points are 23.0 and 27.5), but even these may be insufficient for individual patient assessment without body composition data.[8]<\/a><\/sup>[9]<\/a><\/sup><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Muscle Loss: A Hidden Crisis<\/h3>\n\n\n\n

Low muscle mass alongside excess body fat is a growing concern in India. It is not limited to older adults. Low-quality protein intake (almost 60% of protein in Indian diets comes from cereals, which have relatively low digestibility and quality),[13]<\/a><\/sup> inactive lifestyles, rapid urbanisation, and low awareness about nutrition are thought to contribute. As a result, some people develop sarcopenia<\/strong> (low muscle mass) and dynapenia<\/strong> (low muscle strength).<\/p>\n\n\n\n

Skeletal muscle plays an important role in controlling blood sugar. Under insulin-stimulated conditions, it accounts for about 80% of glucose uptake.[14]<\/a><\/sup> Therefore,<\/strong> low muscle mass is associated with greater insulin resistance and a higher prevalence of prediabetes, even after adjusting for overall and central obesity (US NHANES III data).[15]<\/a><\/sup><\/p>\n\n\n\n

In addition,<\/strong> people with both low muscle and high fat (sarcopenic obesity) are a recognised high-risk group, particularly in older adults.[16]<\/a><\/sup> This combination is often hidden and cannot be detected by weight alone. Body composition analysis<\/strong> can show this problem much more clearly.<\/p>\n\n\n\n

KEY INSIGHT:<\/strong><\/strong><\/h4>\n\n\n\n

In many Indian patients, the metabolic problem is dual: too much fat and<\/em> too little muscle. BMI captures neither. InBody estimates fat and muscle mass, shows how they are distributed segmentally, and reports the ECW\/TBW ratio, a fluid-balance marker.[17]<\/a><\/sup><\/p>\n\n\n\n\n

\"InBody
InBody 770 clinical body composition analyzer used in Indian hospitals<\/figcaption><\/figure>\n

What InBody Actually Measures and Why It Matters for Indian Patients<\/h2>\n\n\n\n

InBody uses Direct Segmental Multi-frequency Bioelectrical Impedance Analysis (DSM-BIA)<\/strong> applying alternating electrical currents at up to 6 frequencies (1, 5, 50, 250, 500, 1000 kHz) independently through each of five body segments: right arm, left arm, trunk, right leg, and left leg. The result is a granular, segment-specific body composition profile that no scale or BMI formula can provide.<\/p>\n\n\n\n

Marker<\/th>What It Shows<\/th>Why It Matters Specifically for Indians<\/th>InBody Model<\/th><\/tr><\/thead>
Visceral Fat Level (VFL)<\/strong><\/td>Fat surrounding internal organs (liver, pancreas, intestines)<\/td>South Asians tend to carry more visceral fat than Europeans of the same BMI.[3]<\/a><\/sup> InBody flags a Visceral Fat Level of 10 or above as higher risk.[17]<\/a><\/sup><\/td>All models<\/td><\/tr>
Skeletal Muscle Mass (SMM)<\/strong><\/td>Total lean muscle mass in kg vs population norm<\/td>Muscle mass declines with age,[4]<\/a><\/sup> and protein quality in cereal-dominant diets can be low.[13]<\/a><\/sup><\/td>All models<\/td><\/tr>
Body Fat Percentage (PBF)<\/strong><\/td>% of body mass that is fat tissue<\/td>Body fat is higher in Indians than in Western populations at the same BMI; 25% (men) and 30% (women) corresponds to a BMI of about 22.[11]<\/a><\/sup><\/td>All models<\/td><\/tr>
Segmental Lean Analysis<\/strong><\/td>Muscle mass per limb + trunk<\/td>Can show a leg muscle deficit; skeletal muscle is the major site of insulin-stimulated glucose uptake.[14]<\/a><\/sup><\/td>All models<\/td><\/tr>
ECW\/TBW Ratio<\/strong><\/td>Extracellular:total body water ratio, a marker of fluid balance<\/td>InBody\u2019s reference range is 0.360\u20130.390; higher values can reflect fluid retention (oedema) and are best read by a clinician alongside other findings.[17]<\/a><\/sup><\/td>570, 770, 970<\/td><\/tr>
Trunk Fat Mass<\/strong><\/td>Fat specifically in the abdominal\/thoracic region<\/td>South Asians tend to carry more abdominal and visceral fat at a given BMI,[3]<\/a><\/sup> and visceral fat is linked to insulin resistance and cardiometabolic risk.[18]<\/a><\/sup><\/td>570, 770, 970<\/td><\/tr>
Android\/Gynoid Ratio<\/strong><\/td>Upper-body vs lower-body fat distribution<\/td>Central (upper-body) fat distribution is linked to diabetes and cardiovascular risk,[18]<\/a><\/sup> and South Asians tend to carry more abdominal fat.[3]<\/a><\/sup><\/td>770, 970<\/td><\/tr>
InBody Score<\/strong><\/td>Composite muscle-fat balance index (0\u2013100)<\/td>Single trackable number for patient motivation and compliance \u2014 critical for Indian follow-up<\/td>All models<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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InBody & Diabetes Management in India: The Clinical Evidence<\/h2>\n\n\n\n

India\u2019s diabetes epidemic is not simply a problem of excess weight. It is also a problem of body composition<\/strong>: visceral fat is linked to insulin resistance,[18]<\/a><\/sup> too little skeletal muscle reduces the body\u2019s capacity to clear glucose,[14]<\/a><\/sup>[15]<\/a><\/sup> and the ECW\/TBW ratio can flag fluid imbalance in some patients.<\/p>\n\n\n\n

Consequently,<\/strong> InBody can measure all three dimensions in a single scan. Some clinicians in India use InBody as a risk-assessment aid, a treatment-monitoring tool, and a patient engagement device. Specifically,<\/strong> the visual, personal nature of the result sheet can help support patient engagement and follow-up.<\/p>\n\n\n\n

Illustrative Case Study 1<\/strong><\/h4>\n\n\n\n

The Prediabetic Professional: Mumbai, Age 42<\/h4>\n\n\n\n

A 42-year-old software professional in Mumbai presented with HbA1c of 6.1% (prediabetic range),[19]<\/a><\/sup> BMI of 24.8 (classified \u201chealthy\u201d by standard criteria), and mild hypertension. Standard screening had not flagged him for active intervention. This is an illustrative, unpublished example, not drawn from a published study; individual results vary.<\/em><\/p>\n\n\n\n

An InBody 770 scan revealed: Visceral Fat Level 13<\/strong> (above InBody\u2019s level-10 risk threshold)[17]<\/a><\/sup>, Body Fat Percentage 34.2% (high), Skeletal Muscle Mass 3.2 kg below population norm for his age and height, and ECW\/TBW ratio of 0.396 (above InBody\u2019s 0.390 reference limit, which can reflect fluid imbalance).<\/p>\n\n\n\n

Based on these findings,<\/strong> a targeted 16-week programme of structured resistance training, a protein-adequate diet, and an 8,000-step daily target was designed specifically around his InBody results. By the end of<\/strong> 16 weeks, his body composition scan showed the following changes.<\/p>\n\n\n\n

\u21934<\/strong>
Visceral Fat Level reduction (13 \u2192 9)<\/td>		+2.1kg<\/strong>
Skeletal Muscle Mass gained<\/td>		\u21935.4%<\/strong>
Body Fat Percentage reduction<\/td>		5.7%<\/strong>
HbA1c at 16 weeks (down from 6.1%; still at the lower edge of the 5.7\u20136.4% prediabetes range)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

What this example illustrates:<\/strong><\/strong><\/strong><\/h4>\n\n\n\n

Standard screening can under-identify the risk, and standard weight-loss advice can under-target the intervention<\/strong>. Body composition data can help clinicians target treatment more precisely.
For diabetes management in India, the analysis includes Visceral Fat Level, Skeletal Muscle Mass, ECW\/TBW ratio, and segmental Body Fat Percentage.
These indicators give clinicians a picture of fat distribution, muscle mass and fluid balance to use alongside blood tests, all delivered on a single result sheet in under 60 seconds.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

InBody in Bariatric & Metabolic Surgery: The Apollo Hospital Experience<\/h2>\n\n\n\n

According to an account published by InBody India, Dr. Raj Palaniappan, Director and Lead Bariatric Surgeon at Apollo Hospital, Chennai, has observed a major shift in bariatric care in India. Today, it is not just about weight loss. It is about treating metabolic health.<\/p>\n\n\n\n

By 2019, according to the same account, most of his patients (around 80%, a figure reported by InBody India and not independently verified) had conditions like metabolic syndrome, diabetes, high blood pressure, and abnormal cholesterol levels. In other words,<\/strong> most patients were not just obese. They had deeper health issues.<\/p>\n\n\n\n

At this point,<\/strong> tools like InBody became important. InBody is a scientific method of body composition analysis. It helps doctors understand what is happening inside the body, beyond just weight.<\/p>\n\n\n\n

\u2014 Dr. Raj Palaniappan, Director & Lead Bariatric Surgeon, Apollo Hospital, Chennai<\/p>\n\n\n\n

InBody helps solve three key challenges in Indian bariatric patients:<\/strong><\/p>\n\n\n\n

First, pre-surgery risk assessment.<\/strong><\/strong><\/strong><\/h4>\n\n\n\n

InBody can estimate muscle mass before surgery, which may help flag patients with very low muscle mass. Fat-free mass loss is a recognised concern after bariatric surgery,[20]<\/a><\/sup>[21]<\/a><\/sup> so these patients may need closer monitoring and preparation. This can include a protein-adequate diet and resistance training before surgery (supervised exercise before surgery improves body composition and function, but there is no evidence yet on surgical outcomes).[22]<\/a><\/sup><\/p>\n\n\n\n

Second, post-surgery muscle monitoring.<\/strong><\/strong><\/strong><\/h4>\n\n\n\n

After bariatric surgery, fat-free mass (which includes muscle) is lost along with fat, mostly within the first 3 to 6 months, and in a meta-analysis of four trials about one-third (34%) of total weight lost was fat-free mass.[20]<\/a><\/sup>[21]<\/a><\/sup> Because of this,<\/strong> regular InBody scans can help track muscle change. Clinics often schedule follow-up at about 1, 3, 6, and 12 months, which gives a chance to detect muscle loss early and take action.<\/p>\n\n\n\n

Third, improving patient compliance.<\/strong><\/strong><\/h4>\n\n\n\n

One of the biggest challenges after surgery is that patients do not always follow medical advice. However,<\/strong> showing patients their own body composition data may help. When they see clear, visual results, they may understand their progress better. As a result,<\/strong> they may be more likely to follow diet and exercise plans.<\/p>\n\n\n\n

Case Example 2 (published by InBody India)<\/strong><\/h4>\n\n\n\n

Post-Bariatric Muscle Preservation: Chennai, Age 38<\/h4>\n\n\n\n

A 38-year-old woman in Chennai underwent a sleeve gastrectomy for metabolic syndrome (BMI 36, T2DM, hypertension). Pre-operative InBody 770 scan revealed skeletal muscle mass 4.8 kg below norm for her height, flagging her as high-risk for post-surgical sarcopenia. This case is as published by InBody India and attributed to the practice of Dr. Raj Palaniappan at Apollo Hospital, Chennai; it is a single, non-peer-reviewed case report. Its fat-versus-muscle split is better than the average reported in the studies cited above, and individual results vary.<\/em><\/p>\n\n\n\n

In response,<\/strong> a 6-week pre-habilitation programme was initiated: 30g protein supplement twice daily and supervised resistance training three times per week. As a result,<\/strong> her SMM increased by 1.8 kg before surgery. Subsequently,<\/strong> post-operative quarterly InBody scans guided a graduated return to protein targets and a progressive resistance programme.<\/p>\n\n\n\n

92%<\/strong>
Weight loss that came from fat mass (not muscle)<\/td>		VFL 5<\/strong>
Visceral Fat Level at 12 months (down from 17 pre-operatively)<\/td>		100%<\/strong>
Follow-up compliance at all 4 quarterly scan appointments<\/td>		Complete<\/strong>
T2DM remission at 12 months post-surgery<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

InBody in Indian Sports & Elite Athletic Conditioning<\/h2>\n\n\n\n

In sport, from cricket and athletics programmes to the emerging Indian fitness industry, body composition is increasingly monitored as a performance variable<\/strong>, and InBody is one of the tools used for this. Body composition is one of several performance variables alongside speed, strength, and endurance.<\/p>\n\n\n\n

What InBody Provides for Indian Athletes<\/h3>\n\n\n\n

For elite Indian athletes, the standard sports science challenge is maximising muscle mass while minimising fat, tracking recovery from injury, and monitoring the composition effects of nutrition periodisation across a competitive season. In addition,<\/strong> InBody provides segment-level data, for instance,<\/strong> allowing coaches and physios to identify left-right limb muscle asymmetry that may be relevant to injury risk, or a decrease in trunk lean mass that may signal inadequate recovery nutrition.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

SPORTS PERFORMANCE:<\/strong> InBody segmental lean analysis reports muscle mass for each arm and leg separately, so right-left differences can be tracked over time. For example,<\/strong> for cricketers and tennis players, tracking bowling-arm vs non-bowling-arm differences may help coaches plan targeted conditioning.<\/p>\n\n\n\n

InBody for Elderly Indian Patients & the Sarcopenia Crisis<\/h2>\n\n\n\n

India\u2019s population of adults over 60 is projected to reach 347 million by 2050<\/strong>.[23]<\/a><\/sup> The combination of age-related muscle loss (sarcopenia), diets that are often low in protein quality,[13]<\/a><\/sup> sedentary urbanised lifestyles, and low awareness of strength training can raise the risk of loss of functional independence, falls, fracture, and metabolic deterioration in India\u2019s ageing population.<\/p>\n\n\n\n

The Asian Working Group for Sarcopenia (AWGS 2019) defines low muscle mass, by bioimpedance, as appendicular skeletal muscle mass divided by height squared (SMI) below 7.0 kg\/m\u00b2 in men and 5.7 kg\/m\u00b2 in women (5.4 kg\/m\u00b2 when measured by DXA); sarcopenia is diagnosed when low muscle mass accompanies low muscle strength or low physical performance.[24]<\/a><\/sup> InBody reports a Skeletal Muscle Index directly and quickly. Notably,<\/strong> the AWGS uses cut-offs developed for Asian populations rather than Western ones.[24]<\/a><\/sup><\/p>\n\n\n\n

MONITORING APPROACH FOR ELDERLY INDIAN PATIENTS:<\/strong>
One practical approach for patients over 60 is a baseline scan followed by repeat scans about every six months (a suggestion, not a guideline). Focus markers: Skeletal Muscle Index (SMI), Segmental Lean Analysis (watching for a leg muscle deficit), ECW\/TBW ratio (above InBody\u2019s 0.390 reference limit can reflect fluid imbalance and should be interpreted by a clinician),[17]<\/a><\/sup> and InBody Score trajectory over time.<\/p>\n\n\n\n

InBody in Corporate Wellness India<\/h2>\n\n\n\n

Sedentary office work and stress-related eating are common concerns in India\u2019s IT, banking, and professional services sectors. Corporate wellness programmes that rely only on annual medical check-ups with BMI and blood panels may miss markers, such as visceral fat and muscle mass, that help identify who is at higher risk of diabetes, metabolic syndrome, or cardiovascular disease.[18]<\/a><\/sup><\/p>\n\n\n\n

Some employers, including IT campuses, financial institutions, and pharmaceutical companies, use InBody scanning in their annual health assessments. Because BMI cannot separate fat from muscle or show where fat is stored, some employees classified as \u201chealthy\u201d by BMI alone may have body composition profiles that warrant clinical attention<\/strong>.[3]<\/a><\/sup><\/p>\n\n\n\n

WORKPLACE SCREENING:<\/strong> Body composition screening in workplace programmes can help identify employees with a normal BMI but a high visceral fat level. Subsequently,<\/strong> these employees can be offered targeted lifestyle support.<\/p>\n\n\n\n

What Results Can Indian Patients Realistically Expect?<\/h2>\n\n\n\n

InBody does not produce results on its own. Rather,<\/strong> it gives patients and clinicians specific data, such as visceral fat level, muscle deficit, and the ECW\/TBW ratio, that can inform decisions about diet, exercise, and follow-up. In contrast,<\/strong> a weight and a BMI alone show far less of the picture.<\/p>\n\n\n\n

The table below summarises what published studies suggest for each context. Most of the studies cited are not InBody-specific or India-specific, and individual results vary. All results assume structured dietary and\/or exercise interventions; InBody is the measurement tool<\/em> that enables targeting and tracking, not an intervention in itself.<\/p>\n\n\n\n

Clinical Context<\/th>Primary Marker<\/th>What the Evidence Suggests<\/th>Clinical Significance<\/th><\/tr><\/thead>
Prediabetes \/ Metabolic Syndrome<\/strong><\/td>Visceral Fat Level<\/td>Exercise training is associated with reductions in visceral fat in overweight adults[25]<\/a><\/sup><\/td>Lower visceral fat is linked to lower cardiometabolic risk[18]<\/a><\/sup><\/td><\/tr>
Prediabetes \/ Metabolic Syndrome<\/strong><\/td>Skeletal Muscle Mass<\/td>Resistance training with adequate protein supports gains in muscle mass[26]<\/a><\/sup><\/td>Higher relative muscle mass is associated with better insulin sensitivity[15]<\/a><\/sup><\/td><\/tr>
Post-Bariatric Surgery<\/strong><\/td>Body Fat % \/ VFL<\/td>Substantial fat loss, with some fat-free mass loss also expected, mostly in the first 3 to 6 months[20]<\/a><\/sup>[21]<\/a><\/sup><\/td>Repeat scans can help flag excessive muscle loss early<\/td><\/tr>
Elite Athlete Conditioning<\/strong><\/td>Segmental Lean Mass<\/td>Varies by sport, training phase, and individual<\/td>Segmental data can help coaches adjust training and nutrition<\/td><\/tr>
Elderly Sarcopenia Programme<\/strong><\/td>SMI (Skeletal Muscle Index)<\/td>Progressive resistance training improves muscle strength and physical function in older adults[27]<\/a><\/sup><\/td>Better strength and function support independence<\/td><\/tr>
Corporate Wellness<\/strong><\/td>InBody Score<\/td>Varies with the programme and starting point; best judged as a trend across repeat scans<\/td>A single trackable number can support motivation and follow-up<\/td><\/tr>
Inflammation \/ ECW Monitoring<\/strong><\/td>ECW\/TBW Ratio<\/td>InBody\u2019s reference range is 0.360\u20130.390; values above 0.390 are flagged as above range[17]<\/a><\/sup><\/td>A high value can reflect fluid retention (oedema) and should be interpreted by a clinician alongside other findings<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

InBody in Clinical, Sports and Wellness Settings Across India<\/h2>\n\n\n\n

InBody is used in a range of clinical, sports, and wellness settings in India. Typical contexts include:<\/p>\n\n\n\n