Image Credit: Canva
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.
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."
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.
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.
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.
Heart disease remains one of the leading causes of death globally, and while technology has evolved to the point where predicting heart attacks is possible, the medical world still struggles to put this into practice. Experts point to both promise and pitfalls in predictive cardiology, revealing why such life-saving tech is not yet a mainstream reality.
Dr. Vikrant B. Khese, Cardiologist at Jehangir Hospital, Pune, says the idea that we can predict heart attacks before they happen is both “exciting and frustrating, because while the technology exists, its real-world implementation remains limited.”
He explains that artificial intelligence (AI) and machine learning (ML) have incredible potential in this field. These tools can analyse vast datasets, such as blood pressure, lipid profiles, ECGs, imaging, and even genetic markers, to uncover patterns that might be invisible to the human eye. “These tools can detect subtle risk factors that may be missed in routine clinical practice. However, several challenges continue to hold us back,” he says.
One of the biggest concerns is the source of the data feeding these algorithms. “The majority of AI models are trained on Western datasets that do not reflect the unique genetic, environmental, and lifestyle factors of Indian or Asian populations. This creates a mismatch, resulting in lower accuracy and reliability for non-Western patients.”
Dr. Khese adds that cardiovascular disease is deeply multifactorial. It is not just about clinical metrics. “Stress, socioeconomic status, cultural diet patterns, air pollution, and unstructured physical activity all influence risk but are difficult to quantify in a dataset. AI still struggles with these intangible but crucial variables.”
And even when predictive tools are developed, another hurdle lies in the healthcare system’s ability to use them. “Data-driven predictions can only be as good as the data input. In India, inconsistent electronic medical records, underreporting, and fragmented healthcare systems make it harder to gather high-quality longitudinal data, limiting the AI's learning potential.”
Crucially, there is also a behavioural gap. “Even when prediction tools exist, they are not routinely used by clinicians due to scepticism, lack of training, or workflow disruption. Bridging the gap between innovation and implementation is a major hurdle.”
According to Dr. Khese, technology must complement clinical judgement, not replace it. “AI is a powerful tool but not a standalone solution. Until we combine high-quality, representative data with clinical wisdom and system-level integration, the promise of predicting heart attacks before they happen will remain underutilised. The future lies in synergy; technology must empower doctors, not replace them.”
Dr. Vijay D'Silva, Medical Director of White Lotus International Hospital and Clinical Advisor and Mentor of Heartnet India, backs this view and draws attention to major international trials. “Research from the University of Oxford has suggested that a global trial of an AI tool that can predict the 10-year risk of heart attack has shown that in about 45 per cent of patients with chest pain, treatment could be improved,” he shares.
“Early detection of cardiac risk allows timely treatment and monitoring that can help reduce the mortality rate,” he says, explaining that most coronary blockages are asymptomatic. “Some present with chest, arm or jaw pain on exertion (angina pectoris). Few present as a heart attack or sudden death. People seek treatment after a heart attack when the damage is already done.”
According to Dr. D’silva, “With the help of the right tools, it is now possible to predict a heart attack before it occurs.” Among these tools are blood tests, ECGs, and advanced risk calculators such as the AHA PREVENT calculator, ASCVD Risk Calculator Plus, QRISK3, and SCORE2.
He points out how the 2023 AHA PREVENT calculator estimates 10-year cardiovascular risk in individuals aged 30 to 79, and 30-year risk in adults aged 30 to 59. “Early-stage detection of CVD minimises the cost and also reduces the CVD mortality rate,” he says.
This tool divides patients into four risk categories, each with its own treatment strategy:
Despite these advances, Dr D'Silva says, “The gap lies in implementation. Most people still wait for the symptoms to appear before seeing a doctor. Heart attacks, unfortunately, strike without any warning, especially in women and younger patients, where symptoms can be atypical.”
He stresses that predictive cardiology is not yet standard in clinical practice. “People who are at risk seek care when symptoms arise. But in cardiology, symptoms often come too late. Up to 50 per cent of heart attack victims had no prior warning signs.”
Dr. D'silva concludes, “The ability to predict heart attacks is advancing continuously, but we need public awareness and equitable access to make predictive cardiology more standard.”
In short, we can predict heart att but until we normalise risk screening, improve data systems, and bridge the clinical gap, too many heart attacks will continue to catch people and systems off guard.
When strands clog your shower drain or your brush looks full every time you run it through your hair, panic is a natural response. Hair loss, or alopecia, is not just a cosmetic concern; it often hints at something deeper. And yet, thanks to internet half-truths and old wives’ tales, myths about alopecia spread faster than a viral meme. On World Alopecia Day, we turn to experts to separate fact from fiction while spotlighting the hidden medical conditions that might be behind the hair fall.
The good news? “Early diagnosis and treatment of these conditions can help restore hair growth and prevent permanent damage,” he assures.
Myth 1: “Only men experience alopecia.”
“While male pattern baldness is more commonly discussed, women are equally susceptible to alopecia due to hormonal imbalances, thyroid issues, and nutritional deficiencies,” says Dr Gangurde. Yes, ladies lose hair too and not just from brushing too hard.
Myth 2: “Stress alone is responsible for hair loss.”
While stress is definitely not good for your scalp’s health, it is not the lone cause. “Alopecia usually has multiple triggers, including genetics, autoimmune conditions, and underlying medical issues,” explains Dr Gangurde. Translation: stressing about stress causing hair fall might make things worse.
Myth 3: “Alopecia is always permanent and untreatable.”
This one might be the most damaging myth of all. “Many forms of hair loss, especially those caused by hormonal or nutritional factors, are reversible with timely medical intervention,” says Dr Gangurde. PRP therapy, medications, and lifestyle changes can all turn things around if you act early enough.
Do Not Just Shed Tears, Seek Help
If your hair has been thinning or falling out in clumps, resist the urge to DIY it with oils, serums, or social media hacks. “If you experience sudden or persistent hair loss, consult a dermatologist or trichologist promptly,” advises Dr Gangurde. “Early intervention can address the root cause, prevent progression, and in many cases, restore healthy hair growth.” Remember that alopecia is not just a surface-level issue. And with the right diagnosis, it is often more fixable than you think.
Credits: Canva
The 2025 flu season has turned out to be unlike any other in recent memory. This year, the flu season is marked by record-setting infections, multiple viral peaks, vaccine mismatches, and an overstretched healthcare system.
According to the Centers for Disease Control and Prevention (CDC), this year’s influenza activity is the most intense since the 2009 swine flu pandemic, with over 80 million estimated illnesses and rising. What’s driving this intensity, and what should the public know about prevention and symptom management?
Let’s break down what makes this flu season so severe and what it means for your health.
In most years, flu activity in the U.S. typically follows a predictable pattern, starting in October, peaking between December and February, and fading by April. But the 2024–2025 season has defied that rhythm.
Cases surged past the national baseline in December and then, unexpectedly, peaked again in February, a second wave that blindsided doctors and public health experts.
As of March 2025, the CDC had reported an estimated 37 million influenza infections, 480,000 hospitalizations, and 21,000 deaths. Hospitalizations, in fact, reached their highest levels in 15 years.
One key driver? A mismatch between circulating flu strains and this year’s vaccine. The dominant strains: H1N1 and H3N2, accounted for more than 99% of cases.
H3N2, in particular, is known for mutating quickly and evading immune responses, and only about half of circulating H3N2 samples matched well with vaccine antibodies, according to CDC surveillance data.
Another reason this year’s flu is hitting so hard: our immune systems are still catching up.
During the height of the COVID-19 pandemic, widespread masking, social distancing, and school closures suppressed not just SARS-CoV-2 but also seasonal flu and other common respiratory viruses. While that helped in the short term, it reduced community-level immunity over time, especially among children, who typically build natural resistance through repeated exposures.
“Young children who were toddlers or preschoolers during the pandemic missed early exposures to flu viruses,” explained experts at the nonprofit group Families Fighting Flu. “Now they’re in school, more socially active, and more vulnerable.”
The CDC reported a troubling spike in pediatric flu deaths this season with 216 fatalities, making it the deadliest flu season for children outside of a pandemic year. Neurological complications such as seizures and hallucinations also rose among young patients.
Another unusual trend: COVID-19 has taken a back seat this winter
Unlike previous years when COVID-19 variants dominated respiratory illness charts, flu has surged ahead as the top driver of doctor visits and hospitalizations. This could be due to a shift in viral dominance, changing weather patterns, or differences in immunity buildup. According to the CDC, nearly 8% of all outpatient visits are currently for flu-like symptoms, much higher than what’s typical for this time of year.
Vaccine Fatigue and Gaps in Coverage
Vaccination remains the strongest tool we have to fight influenza, but uptake has been stagnant, or worse, declining, in key groups.
As of April 2025:
Barriers like vaccine hesitancy, misinformation, racial and ethnic disparities in healthcare access, and fewer flu shot clinics in rural areas continue to widen the gap.
The 2025 flu has shown typical but often more intense symptoms than in previous years. Here’s what to look out for:
These symptoms may overlap with COVID-19 or RSV, but tend to come on faster and hit harder in flu cases this season.
For most healthy people, flu symptoms begin 1 to 4 days after exposure and typically last about 5 to 7 days. However, fatigue and cough may linger for up to two weeks.
You’re considered most contagious in the first 3 to 4 days after symptoms start but can continue to spread the virus up to a week later. The CDC recommends staying home until you’ve been fever-free for at least 24 hours without medication.
Vaccinated individuals may experience milder or shorter symptoms, but those with underlying conditions, young children, and older adults may have longer recoveries and higher risk of complications.
Yes, especially in people with weakened immune systems, chronic illnesses, or no prior flu immunity.
Possible complications include:
This is why experts stress that prevention remains the best medicine.
Here’s how to lower your risk during the remainder of the 2025 season:
© 2024 Bennett, Coleman & Company Limited