{"id":34590,"date":"2026-04-29T17:01:18","date_gmt":"2026-04-29T15:01:18","guid":{"rendered":"https:\/\/getindya.com\/long-term-body-composition-tracking-how-to-measure-fat-mass-and-muscle-mass-correctly\/"},"modified":"2026-09-10T11:41:15","modified_gmt":"2026-09-10T09:41:15","slug":"long-term-body-composition-tracking-how-to-measure-fat-mass-and-muscle-mass-correctly","status":"publish","type":"post","link":"https:\/\/getindya.com\/en\/long-term-body-composition-tracking-how-to-measure-fat-mass-and-muscle-mass-correctly\/","title":{"rendered":"Long-Term Body Composition Tracking: How to Measure Fat Mass and Muscle Mass Correctly"},"content":{"rendered":"\n

Long-term body composition tracking is essential for correctly interpreting changes in fat mass, muscle mass, and fat-free mass in athletes and clients. Unlike body weight alone, body composition helps determine whether progress is due to actual fat loss, muscle gain, changes in hydration, glycogen fluctuations, or simply measurement error. <\/p>\n\n

\"Long-Term<\/figure>\n\n

<\/p>\n\n

Why Long-Term Body Composition Tracking Matters<\/h2>\n\n

In high-performance sports and clinical practice, body weight is just one number in a much more complex story. Of course, it is important to measure and track it, but only when we understand both its usefulness and its limitations. <\/p>\n\n

In long-term interventions, such as 6- to 12-month training cycles, managing expectations and accurately interpreting data are what separate a standard nutrition plan from a true high-performance strategy.<\/p>\n\n

Body composition tracking involves analyzing changes in fat mass and muscle mass over time using methods such as anthropometry, bioelectrical impedance analysis, or DEXA to make more accurate nutrition decisions.<\/p>\n\n

Limitations of Body Weight<\/h3>\n\n

Body weight is a raw measurement. It does not tell us whether a 2 kg decrease is caused by post-workout dehydration, glycogen depletion, or, in the worst-case scenario, muscle catabolism. <\/p>\n\n

Why Trends Matter More Than Individual Measurements<\/h3>\n\n

A single measurement can be affected by many factors, including the menstrual cycle, sodium intake, stress, hydration status, and others.In long-term programs, what matters is the direction of the trend, not one isolated data point. <\/p>\n\n

Motivational and Clinical Impact<\/h3>\n\n

Seeing fat mass decrease while muscle mass remains stable or even increases can be extremely motivating for a client who feels frustrated because the scale is not moving, even though they have dropped two clothing sizes.<\/p>\n\n

<\/p>\n\n

Methods for Measuring Fat Mass and Muscle Mass<\/h2>\n\n

In clinical practice, several tools are available for measuring body composition. Let\u2019s look at the most commonly used methods based on validity, reliability, and practicality. <\/p>\n\n

Bioelectrical Impedance Analysis (BIA)<\/h3>\n\n

BIA measures the resistance of body tissues to the flow of an electrical current.Its main weakness is hydration status. An athlete who has just finished training may show unrealistic fat mass values because of changes in total body water distribution. <\/p>\n\n

Anthropometry: ISAK Profile<\/h3>\n\n

Anthropometry is one of the preferred field-based methods because it is relatively unaffected by acute changes in hydration.By measuring skinfold thickness, we directly assess subcutaneous tissue. <\/p>\n\n

DEXA: Dual-Energy X-Ray Absorptiometry<\/h3>\n\n

DEXA is considered a three-compartment model that measures bone mineral mass, fat mass, and bone-free lean mass.It is particularly useful for detecting asymmetries, but its cost and the small amount of radiation exposure generally limit its use to key points during the season. <\/p>\n\n\n \n \n \n \n \n \n
Method<\/th>\nPros<\/th>\nCons<\/th>\n <\/tr>\n <\/thead>\n
Anthropometry (ISAK)<\/td>\n\nField-based gold standard. Practical and affordable. Makes it easy to identify body composition changes over relatively short periods. Minimally affected by hydration status.<\/td>\n\nHighly dependent on the practitioner\u2019s skill and therefore subject to human measurement error. Requires an in-person assessment.<\/td>\n \n <\/tr>\n
Bioelectrical Impedance Analysis (BIA)<\/td>\n\nFast and non-invasive. Useful for visually communicating progress. \nAffordable and widely accessible.<\/td>\n\nHighly sensitive to hydration status and recent food intake.<\/td> \n <\/tr>\n
DEXA<\/td>\n\nHigh precision and detailed bone\/fat segmentation.<\/td>\n\nExpensive, less accessible, and involves a small amount of radiation exposure.<\/td> \n <\/tr>\n <\/tbody>\n<\/table>\n\n
\"Long-Term<\/figure>\n\n

<\/p>\n\n

Which Variables Really Matter in Long-Term Programs?<\/h2>\n\n

When tracking an athlete over several months or years, it is important to correctly interpret changes in each component of body composition.<\/p>\n\n

One of the most common mistakes in practice is assuming that every assessment method measures the same thing. Depending on the level of analysis, based on Wang\u2019s body composition model, our interpretation needs to change. <\/p>\n\n

Level I: Atomic Level<\/h3>\n\n

At this level, we are talking about basic elements such as oxygen, carbon, and hydrogen.It has little direct application in everyday clinical practice, but it forms the foundation of everything else. <\/p>\n\n

Level II: Molecular or Chemical Level<\/h3>\n\n

This is the level where most nutrition calculations and bioelectrical impedance assessments take place.<\/p>\n\n

Fat mass, lipids: this is a purely chemical component consisting entirely of fat. In sports, it is generally one of the components we aim to optimize. <\/p>\n\n

Fat-free mass (FFM): this is the broader compartment that includes water, approximately 60%; protein, around 18%; and minerals, around 6%.<\/p>\n\n

Clinical takeaway: during long-term tracking, if FFM decreases, we need to determine whether it represents an actual loss of structural protein or simply glycogen and water depletion.<\/p>\n\n

Level III: Cellular Level<\/h3>\n\n

At this level, fat-free mass can be divided into several key components.<\/p>\n\n

Body cell mass (BCM): the metabolically active part of the body where energy metabolism takes place.<\/p>\n\n

Intracellular and extracellular water (ICW and ECW): during longitudinal monitoring, an increase in extracellular water can mask fat loss due to inflammatory processes or chronic stress. <\/p>\n\n

Level IV: Tissue Level<\/h3>\n\n

This is where we talk about tissues such as skeletal muscle, bone, and adipose tissue.<\/p>\n\n

Muscle vs. FFM: <\/strong> it is important to remember that skeletal muscle represents only a fraction, approximately 36\u201340%, of fat-free mass. Not every increase in FFM represents muscle hypertrophy. It may also reflect changes in connective tissue or organ hydration. <\/p>\n\n

Adipose tissue vs. fat: unlike fat mass, adipose tissue is a complex and functional organ. It is connective tissue containing approximately 80% adipocytes, as well as blood vessels, nerves, and water. <\/p>\n\n

If, as nutrition professionals, we do not understand this hierarchy, we can make significant interpretation errors.<\/p>\n\n

When you perform anthropometry, you are measuring at the tissue level, particularly adipose tissue. When you use BIA, however, you are estimating variables at the molecular level, including body water and fat-free mass.<\/p>\n\n

Comparing body fat percentage with adipose tissue percentage is therefore like comparing apples and oranges.<\/p>\n\n

Level V: Whole Body<\/h3>\n\n

This level integrates all the previous levels.It includes measurements such as the number displayed on a scale, but as professionals, we now know how to break that number down layer by layer. <\/p>\n\n

<\/p>\n\n

Relative Changes (%) vs. Absolute Changes (kg)<\/h2>\n\n

This is one of the most common sources of confusion when communicating results to clients.<\/p>\n\n

In your practice, do you interpret progress in percentages or kilograms?<\/p>\n\n

Let\u2019s take a closer look at the difference between the two, when each is useful, and how to explain them to your athletes.<\/p>\n\n

Absolute Changes: Actual Kilograms<\/h3>\n\n

Absolute changes refer to the physical amount of a tissue or mass measured in kilograms (kg) or grams (g). This measurement is independent of total body weight. <\/p>\n\n

For example, an athlete weighs 80 kg and has 12 kg of fat mass. After six months of strength and hypertrophy training, the athlete weighs 85 kg but still has exactly 12 kg of fat. <\/p>\n\n

Interpretation: the total amount of fat has not changed at all. The absolute change in fat mass is zero. <\/p>\n\n

Relative Changes: Percentage<\/h3>\n\n

Relative changes refer to the proportion of a particular mass relative to total body weight. Because this measurement depends on total body weight, it can sometimes be misleading. <\/p>\n\n

Using the same example, the athlete who increased from 80 kg to 85 kg while maintaining 12 kg of fat started at 15% body fat and finished at 14.1%.<\/p>\n\n

Interpretation: body fat percentage decreased by almost one percentage point. However, the athlete did not actually lose any fat. Their existing fat mass simply represents a smaller proportion of a body that now weighs more. <\/p>\n\n

As sports nutrition professionals, we should educate clients to pay attention to kilograms, not just percentages. This helps prevent incorrect interpretations of progress, unrealistic expectations, and unnecessary frustration.<\/p>\n\n

<\/p>\n\n

Optimal Measurement Frequency in Practice<\/h2>\n\n

Deciding how often to assess an athlete is a clinical decision that directly affects both the quality of the data and the client\u2019s psychological response to the process.<\/p>\n\n

When to Measure<\/h3>\n\n

Changes in adipose tissue and, especially, muscle hypertrophy are biologically slow processes.<\/p>\n\n

As always, professional decisions should depend on each individual case, but we can establish some general guidelines.<\/p>\n\n

Fat loss programs: measurements every 4 to 6 weeks are generally recommended. Although body weight may fluctuate weekly, meaningful changes in skinfolds or molecular fat mass require a sustained negative energy balance before they become large enough to exceed the technical error of measurement (TEM). <\/p>\n\n

Muscle gain programs: the assessment window should generally be extended to 8\u201312 weeks. Structural protein synthesis is a slow and metabolically demanding process. Measuring too early often captures changes in glycogen and intracellular water rather than actual contractile tissue. <\/p>\n\n

When Not to Measure<\/h3>\n\n

There are situations in which body composition measurements provide little clinical value and may instead create confusion. Some of the most common situations in which measurements should be avoided include: <\/p>\n\n

Immediately after training: fluid shifts, increased blood flow, muscle pump, and dehydration can significantly distort BIA and circumference measurements.<\/p>\n\n

During the luteal phase in women: fluid retention can increase body weight and apparent FFM, while changes in tissue conductivity can affect BIA estimates.<\/p>\n\n

After carbohydrate-loading periods: increased glycogen storage also increases water retention, artificially raising fat-free mass values.<\/p>\n\n

After gastrointestinal illness or diarrhea: body weight can decrease considerably, but once again, fluid loss is often the main cause, combined with reduced appetite and lower food intake over several days.<\/p>\n\n

Risks of Excessive Monitoring<\/h3>\n\n

Measuring too frequently, for example every week, can create several important problems.<\/p>\n\n

1. False positives or false negatives: you may believe a client has lost muscle when they are simply glycogen-depleted. This could lead to an incorrect nutrition decision, such as unnecessarily increasing calorie intake.<\/p>\n\n

2. Anxiety and loss of focus: athletes may become overly focused on individual measurements rather than the overall process, including training, recovery, and adherence.<\/p>\n\n

3. Changes become difficult to detect: small physiological changes may fall within the technical error of measurement (TEM). It can be frustrating for clients to feel that \u201cnothing is changing\u201d simply because not enough time has passed. <\/p>\n\n

In certain situations, daily body weight monitoring and weekly measurement of specific skinfolds may still be useful, as is common in some sports. However, the purpose of collecting the data should always be clear: monitoring hydration, reinforcing athlete discipline, assessing the response to a particular training session, and so on.Athletes should always be educated on how to interpret these measurements to prevent incorrect conclusions based on individual data points. <\/p>\n\n

<\/p>\n\n

Tracking Body Composition During Fat Loss<\/h2>\n\n

From a purely mathematical perspective, reducing body fat is simple. The athlete must consume fewer calories than they expend, creating a calorie deficit. <\/p>\n\n

Putting this into practice, however, is much more complex.As sports nutrition professionals, we need to monitor many additional factors, including muscle preservation, energy availability during training, micronutrient deficiencies, hunger and satiety, among others. <\/p>\n\n

\"Long-Term<\/figure>\n\n

<\/p>\n\n

How to Detect Muscle Loss<\/h3>\n\n

During longitudinal monitoring, there are certain warning signs we should pay attention to.<\/p>\n\n

A reduction in FFM greater than 20% of total weight lost: losing some FFM during a calorie deficit is normal because of changes in water and glycogen. However, if one-fifth of the total weight lost comes from lean tissue, the deficit may be too aggressive or protein intake may be insufficient.<\/p>\n\n

Loss of strength in the gym: body composition data should always be evaluated alongside performance. If estimated muscle mass decreases while performance in key strength exercises also declines, contractile tissue may be being lost. <\/p>\n\n

Nutrition and Training Adjustments<\/h3>\n\n

Energy availability: during long-term interventions, energy availability (EA) should not fall below 30 kcal\/kg of FFM in order to reduce the risk of hormonal disturbances, particularly in women, according to the International Society of Sports Nutrition.<\/p>\n\n

Protein-to-body-weight ratio: as body fat percentage decreases, protecting FFM may require increasing protein intake to approximately 2.4\u20133.0 g\/kg.<\/p>\n\n

<\/p>\n\n

Tracking Muscle Mass Gain<\/h2>\n\n

Building muscle is a much less energy-efficient process than losing fat.Body composition tracking during this phase helps prevent excessive gains in unwanted body fat. <\/p>\n\n

Realistic Expectations<\/h3>\n\n

An experienced natural athlete is doing well if they gain approximately 0.5\u20131 kg of actual muscle mass per month.Any increase in body weight above this range during monthly monitoring will often include additional water or adipose tissue. <\/p>\n\n

The goals we establish with an athlete should take into account all the factors that influence muscle growth, including age, sex, training experience, years of strength or hypertrophy training, and skeletal build.And, of course, as with every nutrition intervention, the body composition goal should support the athlete\u2019s overall performance goals. <\/p>\n\n

Controlling Excess Fat Gain<\/h3>\n\n

Long-term monitoring allows us to make sure that fat gain does not become disproportionate to muscle gain.During a gaining phase, beginners may sometimes achieve a muscle-to-fat gain ratio close to 1:1, while more advanced athletes will generally experience lower rates of muscle gain. <\/p>\n\n

True Indicators of Progress<\/h3>\n\n

Beyond kilograms alone, increases in muscular circumferences, such as the upper arm or thigh, without a proportional increase in skinfold thickness can provide strong evidence of hypertrophy.<\/p>\n\n

And, as mentioned earlier, measurement data should always be evaluated alongside performance.<\/p>\n\n

<\/p>\n\n

Interpreting Changes During Long-Term Programs<\/h2>\n\n

During longitudinal monitoring, progress is never a perfectly straight line.As professionals, our job is to interpret the numbers and translate what they are telling us into meaningful decisions. <\/p>\n\n

Plateaus<\/h3>\n\n

A plateau is an adaptive response and does not necessarily mean there is a problem with the nutrition plan.<\/p>\n\n

Metabolic adaptation: following a prolonged calorie deficit, the body becomes more efficient and reduces energy expenditure. This is where tracking fat-free mass becomes particularly important. If FFM remains stable while fat loss slows down, we may be dealing with a genuine plateau that requires a break from the calorie deficit\u2014a diet break\u2014rather than simply continuing to reduce calorie intake. <\/p>\n\n

Cortisol-related water retention: chronic stress caused by dieting and training can increase cortisol levels. Cortisol has an affinity for mineralocorticoid receptors, which can promote water retention. This may mask fat loss for several weeks. <\/p>\n\n

Body Recomposition<\/h3>\n\n

You have probably had athletes tell you during their first consultation that their body composition goal is to gain muscle and lose fat at the same time.<\/p>\n\n

But is this physiologically possible? Or is \u201cbody recomposition\u201d simply terminology that sounds appealing? <\/p>\n\n

Although traditional thinking suggests that anabolism\u2014building tissue\u2014and catabolism\u2014breaking tissue down\u2014cannot occur simultaneously, the human body is not a closed system. It is a network of different compartments with different energy flows.<\/p>\n\n

For body recomposition to occur, the body must be able to use energy stored in adipose tissue to help cover the energy cost of protein synthesis.This is most likely to happen in four situations: <\/p>\n\n

1. Beginners or novice lifters: they have significant potential for adaptation. Strength training provides such a novel stimulus that the body may prioritize building contractile tissue even during a mild calorie deficit. <\/p>\n\n

2. Individuals with higher body fat levels: because they have a larger endogenous energy reserve in the form of fat mass, the body may be able to sustain a larger calorie deficit without compromising protein synthesis, since the necessary energy can be mobilized from adipocytes.<\/p>\n\n

3. Muscle memory after detraining: athletes returning after an injury or extended break can regain previously developed muscle more efficiently than someone building that tissue from scratch. Recovering previously acquired myonuclei is metabolically less demanding, making it possible to regain muscle while losing fat accumulated during inactivity. <\/p>\n\n

4. Use of performance-enhancing drugs (PEDs): substances that alter the hormonal environment can overcome some natural physiological limitations and facilitate protein synthesis under conditions of low energy availability.<\/p>\n\n

However, it is important to understand that, during long-term programs, this may occur primarily during the initial stages.After that, it is generally preferable to work in separate phases in order to continue making measurable progress. <\/p>\n\n

Physiological Adaptations<\/h3>\n\n

The body tends toward homeostasis.During long-term programs, the \u201cset point,\u201d or the body weight the body tends to defend, may gradually readjust.Longitudinal monitoring allows us to determine whether the client is constantly fighting against their physiology or whether we are successfully establishing a new, stable equilibrium. <\/p>\n\n

<\/p>\n\n

Common Mistakes in Body Composition Tracking<\/h2>\n\n

Even with the best technology available, human error and incorrect interpretation can undermine months of work.These are some of the most common mistakes we see in practice. <\/p>\n\n

Comparing Non-Equivalent Measurements<\/h3>\n\n

This is the classic technical mistake.In longitudinal monitoring, standardization is more important than the measurement method itself. <\/p>\n\n

You cannot compare a BIA measurement taken in the afternoon after training with an anthropometric assessment performed in the morning while fasted.<\/p>\n\n

Interpreting Isolated Changes<\/h3>\n\n

An increase of 500 g of fat in one month may simply be a measurement error or a change in tissue hydration.Aggressive nutrition adjustments should generally only be considered when we identify a sustained trend across at least three consecutive measurements. <\/p>\n\n

Becoming Obsessed With the Data<\/h3>\n\n

A professional who changes a client\u2019s diet every time body fat percentage fluctuates by 0.2% is ignoring the technical error of measurement (TEM).This communicates uncertainty to the client and can negatively affect adherence. <\/p>\n\n

Data is simply information that professionals collect in order to analyze and interpret it alongside other relevant factors, without losing sight of what matters most: the person.<\/p>\n\n

<\/p>\n\n

How INDYA Helps With Long-Term Body Composition Tracking<\/h2>\n\n

This is where technology becomes one of the sports nutrition professional\u2019s greatest allies.<\/p>\n\n

INDYA is not just nutrition software <\/a>designed to make meal planning faster. It is also a tool for analyzing trends.<\/p>\n\n

Visual Progress History<\/h3>\n\n

Forget cumbersome spreadsheets.INDYA allows you to visualize changes in fat mass and FFM through intuitive charts that clients can easily understand.Seeing a curve move in the right direction over six months can be a powerful tool for improving client retention and motivation. <\/p>\n\n

Trend Analysis<\/h3>\n\n

The software helps filter out the \u201cnoise.\u201dBy integrating activity data and subjective feedback, INDYA allows nutrition professionals to see whether a decrease in FFM coincides with a week of high training load or poor recovery. <\/p>\n\n

It can also help identify whether an increase in body weight coincides with a week of poor adherence to the nutrition plan or with the luteal phase in female athletes.In addition, it helps determine whether trends in fat mass and fat-free mass align with the expected changes in performance metrics. <\/p>\n\n

Connecting Body Composition With Adherence and Feedback<\/h3>\n\n

How does a change in body composition affect how an athlete feels?INDYA brings anthropometric data together with subjective feedback such as fatigue, sleep, hunger, and adherence.This allows professionals to make decisions based on the athlete\u2019s overall biopsychosocial context, rather than focusing exclusively on skinfold measurements. <\/p>\n\n

Better Clinical Decision-Making<\/h3>\n\n

With all relevant data centralized in one place, nutrition professionals can identify a plateau, a risk of muscle catabolism, low motivation, or an undesirable trend much earlier, before it becomes a significant problem.<\/p>\n\n

<\/p>\n\n

How to Communicate Body Composition Changes to Clients<\/h2>\n\n

As sports nutrition professionals, our job is not only to interpret data but also to manage how success is perceived.During long-term programs, one of the biggest challenges is the client\u2019s tendency to oversimplify progress:\u201cThe scale isn\u2019t moving.\u201dOur goal is to change that internal narrative. <\/p>\n\n

At the end of the day, the success of a long-term program depends largely on how the client perceives their progress.<\/p>\n\n

Take an Educational Approach<\/h3>\n\n

Explain what exists beyond the numbers.It is not enough to tell an athlete that they have lost 1 kg of fat and gained muscle.Explain the metabolic efficiency this represents for their long-term progress and how that trend may contribute to improved performance. <\/p>\n\n

Give athletes the information they need to remain motivated and engaged in the process.<\/p>\n\n

Reduce Frustration<\/h3>\n\n

To reduce frustration, teach clients to focus on the long-term trend.Show them that a weight increase during one isolated week is just one pixel in a high-resolution image.What matters is the direction of the curve over the past three months. <\/p>\n\n

Present changes as \u201cinformation we can use to adjust the strategy,\u201d rather than as a \u201cpass or fail.\u201dThis reduces anxiety and helps prevent negative compensatory behaviors. <\/p>\n\n

Reinforce Long-Term Adherence<\/h3>\n\n

Reinforcement should be intrinsic.Use the data to validate how the athlete feels. <\/p>\n\n

Cross-validation: \u201cYour INDYA data shows that your fat-free mass has increased by 800 g. That helps explain why you told me this week that you feel stronger during your leg workouts.\u201d<\/p>\n\n

Celebrate non-scale milestones: focus on improvements in relative power, recovery, or a new personal record, using body composition as one of the factors helping make that progress possible.<\/p>\n\n

<\/p>\n\n

Conclusion<\/h2>\n\n

Long-term body composition tracking is not about accumulating data.It is about knowing how to interpret that data in order to make decisions that can change an athlete\u2019s trajectory.<\/p>\n\n

At INDYA, we have designed our technology so you can focus on your clients and your nutrition practice while we take care of collecting and connecting the data, presenting it through charts that are easy for your athletes to understand.<\/p>\n\n

We want you to stop fighting with spreadsheets<\/a> and start using longitudinal analysis as one of your greatest competitive advantages.<\/p>\n\n

Turn every measurement into a story of progress, reduce uncertainty for your clients, and take your nutrition service to the next level.<\/p>\n","protected":false},"excerpt":{"rendered":"

Long-term body composition tracking is essential for correctly interpreting changes in fat mass, muscle mass, and fat-free mass in athletes and clients. Unlike body weight alone, body composition helps determine whether progress is due to actual fat loss, muscle gain, changes in hydration, glycogen fluctuations, or simply measurement error. <\/p>\n","protected":false},"author":17,"featured_media":33414,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[213,215,1],"tags":[],"class_list":["post-34590","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nutrition","category-nutrition-software-indya","category-sin-categoria"],"acf":[],"_links":{"self":[{"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/posts\/34590","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/comments?post=34590"}],"version-history":[{"count":1,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/posts\/34590\/revisions"}],"predecessor-version":[{"id":34591,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/posts\/34590\/revisions\/34591"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/media\/33414"}],"wp:attachment":[{"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/media?parent=34590"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/categories?post=34590"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/getindya.com\/en\/wp-json\/wp\/v2\/tags?post=34590"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}