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The winter season compels us to sit at one place, under the blanket, at the ease of warmth. But aren't we all aware of the dangers of a sedentary lifestyle? And when it is winter, it makes it more so stagnant. Not just that, but now a new study from the University of Iowa says that being a couch potato could lead to 19 chronic conditions. Among the 19 chronic conditions, obesity, diabetes, depression and heart diseases also made it to the list.
Research shows that among many diseases, increased blood pressure, high blood sugar, excess body fat around the waist, unhealthy cholesterol levels that leads to metabolic syndrome, cardiovascular disease and cancer are also there. This is why any extended sitting whether at desk, behind the wheel or the screen can be harmful.
The team of researchers from various departments at the University of Iowa conducted a detailed study where they analyzed records from over 40,000 patients at a major Midwestern hospital system. In the records, they looked at the extensive physical inactivity of these patients and how it impacted their overall health.
The study and the detailed analysis is published in the journal Preventing Chronic Disease and studies.
As part of conducting the study, a 30-second exercise survey was conducted. Then, patients were also asked two questions: how many days per week they engaged in moderate to vigorous exercise and for how many minutes per session? On the basis of response, the patients were categorized into three groups:
As per Lucas Carr, associate professor in the Department of Health and Human Physiology and study's corresponding author, "This two-question survey typically takes fewer than 30 seconds for a patient to complete so it does not interfere with their visit. But it can tell us a whole lot about that patient's overall health."
The study got 7,261 responses, and it found that around 60% of them met the recommended guidelines for exercising. These people met the 150 minutes or more minutes of moderate exercise per week. However, almost 36% exercised less than 150 minutes per week and 4% reported no physical activity.
The study also found that people experienced lower rates of depression. 15% of people who exercise for 150 minutes or more, or at least for some amount of time could experience depression, as compared to 26% of those who are inactive. Similarly, for obesity, the numbers are 12% versus 21% for obesity, 20% versus 35% for hypertension and the similar trend was seen in other diseases, and markers of good health, including lower resting pulse rates, and cholesterol profiles.
Patients with no physical activity carried a median of 2.16 chronic conditions, this number was 1.49 conditions in insufficiently active patients and dropped to 1.17 in active patients.
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Dr Ambrish Mithal, endocrinologist in a podcast with Ranveer Allahbadia, highlighted the difference between the popular weight loss drug Ozempic and Mounjaro. Dr Mithal said that a person can lose around 10 kgs in four to six months. When Allahbadia asked Dr Mithal if there is any difference. To this, Dr Mithal said that while Ozempic is a GLP-1 drug, Mounjaro is a combination of GLP-1 and GIP. In simpler language, if one has to compare the two for only weight loss, Mounjaro can outweigh Ozempic by roughly 10 per cent.
While both drugs are approved by FDA and requires prescription, and doses increases over time to a maintenance dose, experiences shortages, not FDA-approved for weight loss.
Although several studies suggest that Mounjaro may lead to greater weight loss than Ozempic, it is not currently approved by the U.S. Food and Drug Administration specifically for weight loss. That said, doctors may prescribe both Mounjaro and Ozempic off-label to support weight management in certain patients.
A real-world comparative effectiveness study by Truveta Research examined the active ingredients in both drugs among overweight and obese adults. The findings showed that tirzepatide, the active ingredient in Mounjaro, resulted in greater weight loss within one year of treatment. Individuals taking tirzepatide were more likely to achieve meaningful body weight reduction at three, six, and 12 months compared to those on semaglutide.
According to Eli Lilly, participants in Mounjaro clinical trials lost between 12 and 25 pounds. The trials reported an average weight loss of 21.1 percent after 12 weeks and a total mean weight loss of 26.6 percent over 84 weeks.
In contrast, clinical trials conducted by Novo Nordisk found that Ozempic users lost between 9.3 and 14.1 pounds. On average, participants lost about 15 percent of their body weight after 68 weeks of treatment.
The answer depends on individual health goals and medical needs. Mounjaro is widely recognised for its strong impact on lowering A1C levels and promoting weight loss. Ozempic, meanwhile, not only helps control blood sugar but is also approved to reduce cardiovascular risk in people with Type 2 diabetes.
Head-to-head research suggests that Mounjaro may offer greater reductions in both blood sugar and body weight. In the SURPASS-2 trial, tirzepatide outperformed semaglutide in lowering A1C levels. The 5 mg, 10 mg, and 15 mg doses of tirzepatide reduced A1C by 2.01, 2.24, and 2.30 percentage points respectively, compared to a 1.86-point reduction with the 1 mg dose of semaglutide.
Read: WHO Issues First Guidance On Obesity Drugs — GLP-1 Drugs Get the Green Light
Both medications share similar side effects, most commonly gastrointestinal issues such as nausea and vomiting. However, some data suggest that side effects with Mounjaro may be slightly more frequent or severe.
The SURPASS-2 trial found that the most common side effects were generally comparable between tirzepatide and semaglutide. However, tirzepatide was associated with a slightly higher rate of serious adverse events.
Mounjaro’s prescribing information includes a warning about severe gastrointestinal disease, a caution not listed in Ozempic’s label. Clinical trials also showed that more patients discontinued Mounjaro due to gastrointestinal side effects. For both drugs, higher doses were linked to an increased likelihood of side effects.
Ultimately, how a person responds to either medication can vary. Each drug works differently in the body, and individual tolerance, medical history, and treatment goals all play a role in determining which option may be more suitable.
GLP-1 drugs mimic the action of the natural hormone GLP-1 to regulate blood sugar and promote weight loss. They work by increasing insulin release in a glucose-dependent manner, decreasing the liver's production of glucagon, and slowing down the emptying of the stomach, which helps lower blood sugar levels after a meal. They also act on the brain to suppress appetite and increase feelings of fullness, leading to reduced calorie intake.
In people with type 2 diabetes, notes Harvard Health, the body's cells are resistant to the effects of insulin and body does not produce enough insulin, or both. This is when GLP-1 agonists stimulate pancreas to release insulin and suppress the release of another hormone called glucagon.
These drugs also act in the brain to reduce hunger and act on the stomach to delay emptying, so you feel full for a longer time. These effects can lead to weight loss, which can be an important part of managing diabetes.
As per the American Diabetes Association's published study, Gastric inhibitory peptide (GIP) is best known for its role as an incretin hormone in control of blood glucose concentrations.
GIP is produced from a larger 153–amino acid precursor protein encoded by the GIP gene. In the bloodstream, it circulates as an active 42–amino acid peptide. It is synthesised by K cells located in the lining of the duodenum and jejunum in the small intestine.
Like other endocrine hormones, GIP is released into the bloodstream and travels to target organs through circulation. Its receptors are seven-transmembrane G protein–coupled receptors (GPCRs) found primarily on the beta cells of the pancreas.
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In a major push towards eliminating cervical cancer from India, Prime Minister Narendra Modi today launched the nationwide Human Papillomavirus (HPV) vaccination program for girls aged 14 years.
The new vaccination drive comes as cervical cancer remains the second most common cancer among women in India, with nearly 80,000 new cases and over 42,000 deaths reported annually. As per data from the ICMR-National Cancer Registry Program (NCRP), an estimated 78,499 new cases and 42,392 deaths were reported in 2024.
Calling it a "decisive step”, the government noted that it is aimed at “strengthening the vision of ‘swasth nari’ (healthy women) while being rooted in scientific evidence, strict regulatory oversight and global best practices”.
“India's vaccination drive reflects safety, responsibility, and long-term commitment to women’s health,” it added.
The national program will use Gardasil, a quadrivalent HPV vaccine that protects against HPV types 16 and 18, which cause cervical cancer, as well as types 6 and 11.
However, social media has been rife with concerns around the safety of the vaccine, its impact on women’s reproductive health, among others.
Fact: The HPV vaccines come with a “confirmed strong safety record”.
“Extensive global monitoring shows a strong safety profile supported by scientific reviews. Independent evaluations have found no causal link between vaccination and chronic harm, strengthening confidence in its continued use worldwide,” the government said.
The vaccine has been licensed in India since 2008, and the new rollout follows recommendations by the World Health Organization (WHO) and approvals from the National Technical Advisory Group on Immunization (NTAGI).
“HPV vaccines have been given to hundreds of millions globally. Extensive post-marketing surveillance shows an excellent safety profile, with no causal link to serious adverse outcomes. The evidence is robust, transparent, and reassuring,” Dr. CS Pramesh, Director of the Tata Memorial Hospital, Mumbai, shared in a post on the social media platform X.
Fact: The vaccine has been in use in India. It has been administered for years since 2008 with successful implementation in states like Punjab, Sikkim, and Tamil Nadu.
Fact: The HPV vaccine has been proven to prevent cervical cancer
Studies show a 65 percent drop in cervical cancer cases among US women between 2012 and 2019 and an 88-89 percent reduction in precancerous lesions among Scottish women over a decade.
Countries with early HPV vaccine adoption have also shown large declines in HPV infection, high-grade cervical lesions, and cervical cancer incidence.
"Even when considering the rarest side effects, HPV vaccines are overwhelmingly safe. The protection they offer against cervical cancer far outweighs the minimal risks. Parents are encouraged to vaccinate their daughters on time," said Dr. Neena Malhotra, Professor and Head of Department, Department of Obstetrics and Gynecology, AIIMS New Delhi on X.
Fact: A single dose of the quadrivalent HPV vaccine is effective. It provides strong protection against HPV infection. It helps prevent cervical cancer.
“Strong global and Indian scientific evidence confirms that a single dose provides robust and durable protection when administered to girls in the recommended age group," the government said.
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For all major diseases, early detection is key to improving treatment outcomes. However, when it comes to rare diseases, it is unpredictable, making it more challenging to diagnose. In such a scenario, Artificial Intelligence (AI) is playing a major role -- from early diagnosis to treatment, said health experts on Rare Disease Day.
Rare Disease Day is annually observed on February 28 to raise awareness about the lesser-known conditions and the underlying challenges for people suffering from them.
While many of the rare disorders are genetic, they often also surface without any prior family history. In some cases, they are diagnosed in infancy, while in others the manifestation is years late.
The advanced AI technology is, however, now enabling clinicians to better understand the patients’ genetic profiles and patterns that were not clearer earlier. The technology is also paving the way for earlier and more accurate diagnoses, bringing hope to thousands of patients worldwide.
“AI is revolutionizing the fight against rare diseases by speeding up diagnosis, research, and development of treatments. Rare diseases often take years to diagnose because of the lack of data, overlapping symptoms, and unclear diagnosis,” Dr. Vinit Banga, Director, Neurology, Fortis Escorts Hospital, Faridabad, told HealthandMe.
“AI algorithms can process medical records, genetic information, and images to identify patterns that may escape human detection, allowing for earlier and more accurate diagnoses,” he added.
In a February paper published in the journal Nature, researchers from the Shanghai Jiao Tong University in China presented an AI system called DeepRare -- a multi-agent system for rare disease differential diagnosis decision support, powered by large language models, integrating more than 40 specialized tools.
Using the specialized tools and knowledge sources, the agentic AI system generates ranked diagnostic hypotheses for rare diseases. Each of the tools was also accompanied by reasoning that links the conclusions to verifiable medical evidence.
Similarly, Harvard University-based researchers in a paper also published in the Nature journal in 2025 described an AI tool called PopEVE, which can identify genetic variants most likely to cause severe disease or death.
The model was able to identify more than 100 novel alterations responsible for undiagnosed, rare genetic diseases.
"AI is cutting short the diagnostic odyssey from years to weeks. Large-scale genomic projects help create a vital reference architecture for India and the global community,” Dr. Sudheendra Rao N R, MBBS, PhD, Scientific Advisor, Organization for Rare Diseases India, told HealthandMe.
By integrating deep phenotyping with AI, clinicians can decipher unknown genetic variants and accelerate the development of both repurposed and next-generation precision-therapies, the expert added.
AI can also help researchers identify new drug targets for the treatment of rare conditions.
Dr. Banga said that AI is also instrumental in accelerating drug development by processing enormous amounts of biomedical data to discover new targets for drugs and repurpose existing ones. Importantly, AI is cutting down on time and expenses.
“Machine learning algorithms enable the prediction of patient responses to particular treatments, making it possible to develop personalized treatment strategies,” the expert said.
Further, AI-enabled infrastructure is helping to achieve geographic neutrality, delivering the same caliber of healthcare screening to rural villages and Tier-3 cities as to Tier-1 hubs, ensuring a high-quality healthcare gateway that is no longer defined by where the patient lives.
Moreover, AI-based platforms bring together researchers from across the globe, making it easier to share data.
The World Health Organization (WHO) defines a rare disease as an often debilitating, chronic, or degenerative condition affecting 1 or fewer per 1,000 population.
Rare diseases do not have epidemiological data, are at high risk of misdiagnosis, and often also lack effective treatments.
According to the WHO ICD-11 (International Classification of Diseases), there are over 5,500 rare diseases. It also assigns unique identifiers (URIs) to them for better tracking.
There are estimated to be over 7,000 distinct rare diseases affecting more than 300 million people globally.
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