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Published on: Nov 27, 2021
3 minute read
By: Second Medic Expert

Understanding Body Mass Index Chart?

Understanding body mass index chart?

The body mass index (BMI) is a measure of body weight in relation to height, and it's calculated by dividing the person's weight in kilograms by the square of their height in meters. A high BMI indicates that you're at risk for various health problems like type 2 diabetes, cardiovascular disease, breast cancer, gallstones, and more.

On the other hand. people with lower BMI are at increased risk for osteoporosis. So keep your diet under control! Remember this too- women have smaller bones than men because they have different levels of estrogen so while adults should not let their BMI get below 18 or above 24 there are certain teens who need to stay at 18 or below to avoid becoming obese).

A body mass index chart is a graphical comparison of an individual’s height and weight. It also takes into account the sex of the person to generate a number that helps approximate their body fat percentage. BMI is the ratio of height to weight (weight in kilograms divided by height in meters squared). A person's BMI is considered "overweight" when the number falls between 25 and 29; "obese" when it exceeds 30.

Maintaining a healthy body weight is associated with length of life and the prevention of chronic illness. Excessive weight is associated with increased risk for heart disease, high blood pressure, high cholesterol levels, type 2 diabetes, gallstones, and certain cancers. A general rule of thumb is that if you have been maintaining your current body weight or losing more than two pounds per week on most diets for two months without any signs that your weight is stable at a lower level then it is time to go on a different diet program to avoid excessive loss rates.

Body Mass Index or BMI is the weight in kilograms divided by the square of his height in meters. Using this chart, you can determine how close your BMI is to being overweight. If your body mass index is 25-29.9, you are overweight. If it falls between 30-39.9, you are obese and if it falls at 40 or over, then you have morbid obesity, which is an extreme increase in body fat with the potential of leading to health complications down the line due to excess carrying of food weight on your frame."

The body mass index chart ranges from underweight to morbidly obese. It is based on the same number line as height, so you can see how weight increases at different heights. Although it is not an accurate measure of fatness due to body composition discrepancies, if your BMI is between 18.5 and 24.9 then you are a generally healthy weight for that height classification.

BMI Chart, which is also called the Quetelet Body Mass Index chart, was created by the Belgian scientist Adolphe Quetelet in 1832. It can be used to measure relative weight under idealized conditions for height for various populations. But it has been criticized as an appropriate measure of obesity because it does not take into account variations in body fat distributions (android versus gynoid). The BMI is defined as one's weight divided by their height squared, or generally written as kg/m2.

This chart is very accurate, but it’s difficult to find a BMI that fits your situation. Most people fall between 23-27.5 for Women and 27-30 for Men. But if you are research shows you are an athlete with low body fat, or someone who has gained weight due to metabolic syndrome, chronic conditions or pregnancy - the BMI will not be accurate enough.

It's important to know what's happening with your weight so you can have a better understanding of how much excess fat blood sugar levels have on how you feel every day just by looking at the mirror. The BMI chart below can be used to find a healthy body weight. If your height and weight don't match the closest standard height and weight, adjust the height and weight until they align with one of the symbols. Height should be measured in feet and inches (preferred) or simply in centimeters (feet?3; x 0.0254 = meters; pounds/inches?2; x 0.0254= kilograms).

A lot of people who don't have good diets tend to be heavier. When you're heavy, your hormone levels are often imbalanced, which can cause you to stop producing enough insulin or produce too much for the body's needs. That can lead to type 2 diabetes if left untreated and is one reason why it might seem like people who eat junk food age faster than those with healthy appetites." What is BMI? BMI stands for Body Mass Index; it's used as an indication of total body fatness for most men and women above 20 years old (this varies).

The BMI chart was originally created to classify people in various ranges of weight. There are many different variations of the classification chart. They were not specifically designed for athletes, although an athlete weighing 200 lbs would be considered overweight by some calculations, while others would consider them healthy.

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How Artificial Intelligence Is Transforming Patient Care in India

As a clinician working closely with patients across urban clinics and remote teleconsultation setups, I have seen firsthand how delayed diagnosis, fragmented follow-up, and specialist shortages affect outcomes in India. Artificial intelligence is not a futuristic concept in Indian healthcare anymore. It is actively reshaping how we diagnose diseases, monitor patients, and prevent complications.

AI, when used responsibly under clinical supervision, is becoming a critical support system for doctors and a powerful safety net for patients navigating a complex healthcare ecosystem.

Why India’s Healthcare System Needs AI

India’s healthcare challenges are deeply structural. A large population burdened by lifestyle diseases, combined with uneven access to medical expertise, creates gaps that traditional systems struggle to bridge.

In daily practice, we increasingly see patients presenting late with diabetes, hypertension, heart disease, or cancer. Many ask a simple but important question: why was this not detected earlier? The answer often lies in limited screening, overloaded clinicians, and lack of continuous monitoring.

Chronic conditions dominating Indian clinics today include:

Diabetes affecting over 100 million individuals.
Hypertension rising even among young adults.
Cardiovascular disease driven by late detection.
Increasing cancer incidence with delayed diagnosis.

AI matters here because it supports earlier identification of risk patterns, reduces diagnostic delays, and allows clinicians to focus on decision-making rather than data overload.

How AI Is Changing Medical Diagnosis

One common concern patients raise during consultations is whether AI can truly diagnose diseases accurately. In practice, AI does not replace a doctor. It acts as a high-speed analytical assistant.

AI in Imaging and Diagnostics

AI systems can rapidly analyse:

X-rays and CT scans.
MRI images.
Mammograms.
Pathology slides.
Cardiac and neurological imaging.

These tools flag abnormalities within seconds, allowing doctors to prioritise critical findings. Clinical studies published in peer-reviewed journals have shown that AI models can match specialist-level accuracy for specific imaging tasks when used correctly.

From a physician’s perspective, the real benefit is not speed alone. It is consistency. AI reduces the risk of missed findings during high-volume diagnostic workflows, especially in resource-constrained settings.

Can AI Monitor Patients Outside Hospitals

Patients managing chronic illness often ask whether technology can help them avoid repeated hospital visits. AI-enabled remote monitoring is one of the most meaningful advances in this area.

AI-Supported Remote Patient Monitoring

AI continuously evaluates trends in:

Blood pressure.
Heart rate variability.
Blood glucose patterns.
Oxygen saturation.
Physical activity and sleep quality.

Rather than reacting to a single abnormal value, AI identifies worsening trends over time. Clinically, this allows early intervention before complications escalate.

Evidence from global health system studies shows that continuous monitoring can significantly reduce avoidable hospital admissions, particularly for diabetes, heart disease, and elderly patients.

Using AI to Predict and Prevent Chronic Diseases

Preventive healthcare remains underdeveloped in India. Most patients seek care after symptoms appear. AI helps shift this model.

By analysing medical history, lifestyle habits, vitals, and environmental factors, predictive models can estimate:

Future heart attack risk.
Progression of diabetes.
Decline in kidney function.
Stroke probability.
Asthma exacerbation triggers.

Patients often ask if AI can really prevent disease. Prevention here means early warnings. When risk patterns are detected early, doctors can adjust treatment plans, recommend lifestyle changes, and prevent irreversible damage.

Personalised Treatment in a Diverse Indian Population

Indian patients differ widely in genetics, diet, stress patterns, and cultural habits. Standardised treatment protocols often fall short.

AI supports personalised care by analysing:

Medication responses.
Dietary intake.
Blood markers.
Sleep and stress trends.
Coexisting medical conditions.

For example:

In diabetes care, AI helps personalise carbohydrate distribution and medication timing.
In hypertension, it identifies sodium sensitivity and stress-related spikes.
In hormonal conditions like PCOS, it aligns nutrition and activity with cycle patterns.

From a clinical standpoint, personalised insights improve adherence and reduce relapse rates.

AI-Enabled Telemedicine and Smarter Consultations

Telemedicine has become an essential part of care delivery in India. Patients frequently ask whether online consultations are as effective as in-person visits.

AI enhances telemedicine by:

Structuring symptom inputs before consultations.
Routing patients to the appropriate specialist.
Generating concise medical summaries for doctors.
Supporting follow-up reminders and medication adherence checks.

When used correctly, AI reduces diagnostic delays and improves consultation efficiency without compromising safety.

Expanding Healthcare Access Beyond Cities

A major question in public health is whether AI can truly improve rural healthcare access. In practice, it already is.

AI enables:

Remote diagnostics supported by portable devices.
Virtual specialist consultations for rural clinics.
Smartphone-based imaging and screening tools.
AI-guided triage in underserved regions.

By reducing dependence on physical proximity to specialists, AI helps bridge longstanding geographical barriers in India’s healthcare system.

Safety, Ethics, and the Role of Doctors in AI Care

Patients rightly express concern about safety, privacy, and over-reliance on technology. These concerns are valid.

Responsible AI use in healthcare requires:

Transparent algorithms.
Explicit patient consent.
High-quality, verified medical datasets.
Strict data privacy safeguards.
Continuous clinical supervision.

In ethical practice, AI outputs never replace medical judgment. Doctors remain accountable for decisions. Human-in-the-loop verification is essential to ensure patient safety and trust.

What This Transformation Means for Indian Patients

Artificial intelligence is fundamentally changing patient care in India by making healthcare more proactive, more precise, and more accessible. From early diagnosis to personalised treatment and continuous monitoring, AI empowers both patients and clinicians with data-backed clarity.

SecondMedic’s patient-first approach integrates AI as a clinical support system, not a replacement for doctors. By combining medical expertise with digital intelligence, the goal remains simple: better outcomes, earlier intervention, and care that adapts to each patient’s real-world needs.

As clinicians, our responsibility is to ensure that technology serves patients ethically and effectively. When used with care and oversight, AI has the potential to redefine healthcare delivery across India in a way that is inclusive, preventive, and sustainable.

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