When was the last time you measured your waistline? If you assume that BMI is the only number to focus on when it comes to your health, think twice. New research has revealed a shocking revelation—your waist circumference might be a far better predictor of men's cancer risk than BMI.

The study finds that for each 4-inch increase in waist size, a man's risk of cancer increases by a staggering 25%. Meanwhile, BMI, commonly regarded as the gold standard for assessing obesity, raises cancer risk by only 19% for the same weight gain. So, if you've been dismissing that pesky belly fat, it's time to take notice.

But why is your waistline so important? The reason is visceral fat—the hidden, deep fat that accumulates around your organs. Unlike other body fat, visceral fat is a stealthy troublemaker, causing inflammation, insulin resistance, and abnormal blood fat levels—all of which combine to create a cancer-perfect storm.

Obesity has been associated with an increased risk of numerous health conditions, including cancer, for decades. The research, though, indicates that a specific measure of the body—waist circumference—may be an even more reliable forecaster of cancer risk in men than the more frequently employed Body Mass Index (BMI). This finding emphasizes the need to pay particular attention to the distribution of fat and not merely to the weight of the body.

BMI has been the go-to measure for years for gauging health risks related to obesity. New research, though, that appears in The Journal of the National Cancer Institute indicates that waist measurement is a better predictor of cancer risk in men. According to the research, four more inches (10 cm) around the waist will add 25% to a man's cancer risk. Conversely, a 3.7 kg/m² rise in BMI (from a BMI of 24 to 27.7) increased cancer risk by only 19%.

Why is waist circumference a better predictor, then? Unlike BMI, which measures weight relative to height, waist circumference actually measures abdominal fat—specifically, visceral fat. This type of fat encircles internal organs and is also linked to higher levels of inflammation, insulin resistance, and abnormal blood lipids, all of which are factors in cancer growth. BMI, however, does not measure fat distribution, so two individuals with the same BMI can have very different levels of health risk depending on where fat is deposited on their bodies.

Why Men Are at Higher Risk?

Interestingly, the research identified a significant difference between men and women when it came to waist circumference and cancer risk. Although waist circumference and BMI were linked with obesity-related cancers in women, the relationship was weaker than for men. An increase of 12 cm (4.7 inches) in waist size or a 4.3 rise in BMI (from 24 to 28.3) raised the cancer risk in women by just 13%—a much lower percentage than for men.

Experts credit this difference to the way that fat is stored in the body. Men are more likely to carry fat around the abdomen, especially as visceral fat, which is more metabolically active and associated with cancer-producing biological alterations. Women, by contrast, store fat in peripheral sites such as the hips and thighs, where it is less likely to drive systemic inflammation and metabolic disturbances.

A possible reason is that men tend to depot fat more in the visceral regions, whereas women tend to carry more subcutaneous and peripheral fat," wrote the researchers. "This may render waist circumference a more robust risk factor for cancer in men and account for why waist circumference provides additional risk information beyond BMI in men but not women."

Cancer Types Most Linked to Abdominal Fat

The research used the International Agency for Research on Cancer (IARC) data to define obesity-related cancers. These cancers are esophageal (adenocarcinoma), gastric (cardia), colorectal, rectal, liver, gallbladder, pancreatic, renal, and thyroid cancers, and multiple myeloma and meningioma. In men, abdominal obesity is especially significant in raising the risk of these cancers through high levels of insulin and markers of inflammation.

For women, the research proposes that both waist circumference and hip circumference may give a more accurate estimate of visceral fat and cancer risk. "Adding hip circumference to risk models could strengthen the link between waist circumference and cancer, especially in women," researchers observed.

What This Means for Men's Health and Cancer Prevention?

With these results, doctors advise men to be more mindful of their waistline than only their BMI. Waist size is an easy method to gauge health risk, and its maintenance through lifestyle changes might be the key to cancer prevention.

How To Reduce Cancer Risk In Men?

Track Your Waist Size: Regularly measure your waist circumference and try to keep it in a healthy range (below 40 inches for men, according to medical advice).

Eat a Balanced Diet: A diet containing high fiber, lean protein, and healthy fats can assist in limiting visceral fat gain.

Exercise Consistently: Regular exercise with a combination of aerobic and strength training will help maintain a healthy waistline.

Control Stress and Sleep: Persistent stress and inadequate sleep tend to cause weight gain, especially in the midsection of the body.

Regular Health Screenings: Early identification of cancer risk factors through regular screening can greatly enhance long-term health status.

Healthcare in India must move beyond curative treatments to include preventive and holistic health, said experts today.

Speaking at a public health event in New Delhi, organized by the Illness to Wellness Foundation, the experts stressed the need to integrate technology, tradition, and lifestyle interventions to build a healthier, more resilient population in the country.

“Healthcare is not limited to curative treatments. It includes preventive, promotive, palliative, and rehabilitative care, much of which happens within the community,” said Rajesh Bhushan, Former Secretary, Ministry of Health & Family Welfare.

He called for building a culture of health-seeking behavior through community-focused programs and technology integration.

“Technologies like artificial intelligence (AI) and machine learning (ML) can improve the efficiency and quality of healthcare delivery, when combined with systems of digital public health infrastructure, including the Ayushman Bharat Digital Mission (ABDM) and the Ayushman Bharat Health Account (ABHA), which enable interoperability, longitudinal health records, and a more integrated healthcare ecosystem,” Bhushan added.

India today stands at a critical juncture in its healthcare journey. Rapid urbanization, changing lifestyles, rising stress levels, and increasing screen time are contributing to a growing burden of chronic conditions.

The experts argued that the real challenge will be to prevent disease and enable people to live healthier, longer, and more balanced lives.

Anil Rajput, Chairperson, Advisory Council, Illness to Wellness Foundation, urged for a more personalized and holistic understanding of health to build effective preventive systems.

Building Awareness On Healthcare

Dr. T S Kler, Chairman & HOD – BLK-Max Heart & Vascular Institute and Chairman Pan Max – Electrophysiology, spoke about the importance of leveraging public healthcare systems not only for treatment, but also for building awareness around health and prevention.

Amid rising cases of premature deaths linked to lifestyle risks and environmental factors, the experts advised keeping health as the foremost priority, far above all else.

"We must move towards an integrated, holistic model that combines allopathy with traditional systems of medicine, ensuring a more balanced and patient-centric approach. Equally important is the need to create greater awareness through continuous dialogue and education, as a lot can be achieved with the resources we already have,” said Dr. Kler, a Padma Bhushan awardee.

“The real shift we need is from managing disease to building a culture of health ownership. As stakeholders across sectors, our role is not just to develop systems, but to create awareness and belief that preventive and person-centric healthcare is achievable,” added Dr. Ravi Gaur, Co-Chair, FICCI Digital Health Task Force.

The event also featured a series of thematic discussions examining multiple dimensions of holistic health and well-being.

These include conversations around mental health as a critical component of productivity and daily life, with a focus on managing stress, addressing burnout, supporting students, and fostering more open and supportive environments across workplaces and educational institutions.

While the statistics for Autism Spectrum Disorders (ASD) are alarming, what is even more alarming is the lack of recognition and timely intervention.

Many parents whose children are diagnosed with ASD have common statements – "I just didn’t ignore the signs, I did not know they were signs", when my child did not respond to his name, I just thought he was busy in play, when he did not talk by a particular age I just felt its ok, kids talk late and if it’s a boy, they always talk late. Many boys in my family spoke late."

While these statements are real, they are alarming and indicate that ASD signs are not obvious and can be missed. Autism spectrum disorder (ASD) affects approximately one in 68 Indian children aged 2-9 years, equating to about 18 million individuals nationwide, with diagnoses often delayed until age 4-5 due to limited screening and awareness gaps.

This lag overlooks subtle early signs amid typical toddler behaviors and cultural norms, forfeiting a prime window for interventions that profoundly influence lifelong development.

Why Early Signs Are Overlooked

The signs for ASD should be recognized before the age of two as there are many indications which parents miss or do not want to address. Parents frequently ignore subtle cues such as reduced eye contact or lack of social smiling by 6 – 9 months sometimes calling their kids shy or introvert.

By 12 months, if a child does not respond to their name or by 14 months, there is an absence of pointing and gesturing, these are signs not to be ignored. Repetitive

behaviors like obsessively lining up toys, spinning wheels, or fixating on objects should be treated, not looked as harmless quirks or strong preferences.

Sensory sensitivities, such as aversion to loud noises, scratchy fabrics, or bright lights, manifest as tantrums or fussiness, especially in bustling Indian homes where joint families normalize varied child responses.

Surveys reveal over 50 percent of Indian cases go undiagnosed before preschool, due to lack of awareness (especially in rural areas) and stigma around developmental labels.

A Real Life Case

Aditya has some signs when he was a kid such as delayed speech, repetitive play patterns, and sensitivity to loud noises. On evaluation, it was recognized that as he grew older when academic needs increased, Aditya began experiencing several issues such as anxiety, meltdowns, and reduced school performance. He became more withdrawn and struggled with group activities.

Critical Need for Screening Before Age Three

The case in point addresses the fact that a child's brain grows super-fast before age three as neuroplasticity peaks, forming millions of connections daily that you can reshape easily.

Thus, it is essential to screen children early, which is critical so that possible signs of autism can be identified and therapies suggested effectively, boosting language, social skills, and independence. Based on the therapies, many children show signs of improvement by 50 percent compared to delayed diagnosis.

We need to understand that delaying of small issues can turn into major behavioural struggles. In India, pediatric doctors now recommend regular checks for toddlers,

especially in smaller towns, so that timely support can be administered to kids making them reach normal milestones instead of facing lifelong hurdles.

Value of Multidisciplinary Therapy

Despite early diagnosis, parents and families need to understand that there is no single approach to treating ASD. It is a combined effort of multidisciplinary teams such as

neurologists, speech therapists, occupational therapists, psychologists, and educators deliver that deliver holistic care. Sensory integration therapy addresses the sensory issues while Applied Behaviour Analysis (ABA) builds daily skills for children and understating routine.

Speech therapy helps the child build communication skills but despite all the therapies, it is the parent’s total understanding and acceptance that will enable success of

the therapies skills. Plexus Neuro Centre exemplifies integrated, evidence-based models prioritizing child-led progress that is backed by the support of the family.

It is important to raise awareness and reduce the spread of myths. Every child should have the right to a healthy and independent childhood, thus we urge parents to trust their instincts and act swiftly. This can be achieved through routine screenings and analysis by pediatric neurologists, participating in the right therapies and encouraging kids to have live an independent life, thereby empowering their futures

A newly developed deep learning-based artificial intelligence (AI) system can read heart MRI scans as accurately as medical specialists.

The deep learning model developed by researchers at the University of Pennsylvania is trained on more than 300,000 MRI video clips from roughly 20,000 patients.

The system matches specialists in assessing heart function and diagnosing many heart conditions, according to a study published in the journal Nature Biomedical Engineering.

“Cardiac MRI is one of the most powerful tools available to cardiologists, but interpreting these scans requires rare expertise, and many hospitals -especially community and rural centers- lack specialists who regularly read complex cardiac MRI studies,” said Rohan Shad, an integrated cardiothoracic surgery resident in the Perelman School of Medicine at the University of Pennsylvania.

How The Deep Learning Model Worked

In the study, the researchers described a foundational vision system for cardiac MRI that is capable of representing the breadth of human cardiovascular disease and health.

The “foundation model” learns by linking MRI videos to their corresponding radiology reports, enabling it to recognize a wide range of conditions without extensive labeled data.

In tests, it estimated ejection fraction with expert‑level accuracy and identified severe heart dysfunction far more effectively than traditional AI methods.

It also diagnosed 39 cardiac conditions — including genetic problems like hypertrophic and dilated cardiomyopathies.

In a real‑world screen of more than 40,000 scans, the AI flagged 112 previously undiagnosed cases of hypertrophic cardiomyopathy.

According to researchers, the system could help hospitals without specialized cardiac imaging expertise detect rare but treatable diseases earlier.

Also read: Women Turning to AI for Health Detection: Helpful Tool or Risky Trend?

What Is A Cardiac MRI

A cardiac MRI is a scan of the heart in which radio waves and magnets create images. It shows the parts of the heart, such as chambers, valves, and muscles, are working ― including how the blood moves.

A cardiac MRI is typically performed to

• decode heart symptoms like chest pain, shortness of breath, or fainting
• diagnose congenital heart disease, heart failure, heart masses, valve disease,
• understand muscle damage, infection, protein buildup, and iron deposits
• check damage post a heart attack

AI And Heart Health

AI-powered techniques such as Machine Learning and Deep Learning are transforming how heart diseases are detected, treated, and managed globally.

Also read: Women Are More Comfortable With AI-Assisted Mammography

The technology has enabled faster analysis of large amounts of medical data—such as ECGs, heart MRIs, and patient records. It also flags patterns that may be missed by humans, and helps in early detection, treatment, and improving survival rates.

In 2024, the American Heart Association issued a scientific statement on the use of AI in improving outcomes in heart disease.

The objective aimed "to enable precision medicine and implementation science in cardiovascular research and clinical care".

However, it urged policymakers to develop principles and ethical guidance for the development and application of AI/ML-based digital health.