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.

How was the study conducted?

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:

• Inactive - 0 minutes per week
• Insufficiently active - 1-149 minutes per week
• Active - 150 minutes per week

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."

What did the study find?

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.

The 19 chronic conditions are:

• Obesity
• Live disease
• Psychoses
• Chronic Lung disease
• Neurological seizures
• Coagulopathy (blood clotting disorder)
• Depression
• Weight loss issues
• Uncontrolled hypertension (high blood pressure)
• Controlled hypertension
• Uncontrolled diabetes
• Anemia deficiency
• Neurological disorder affecting movement
• Peripheral vascular disease
• Auto Immune Disease
• Drug Abuse
• Hypothyroidism
• Congestive heart failure
• Vulvar disease (heart valve problem)

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.

Maternal vaccination with the COVID-19 vaccine during pregnancy can be effective against severe disease and hospitalization from the SARS-CoV-2 virus in babies, according to a large study.

The study, published in the journal Pediatrics, revealed that COVID vaccination during pregnancy can protect the children against hospitalization for COVID during the first six months of life.

Amid continuing COVID cases, babies under six months old continue to have one of the highest rates of hospitalization — one in five — due to the COVID virus in the US, as per a 2024 study.

As currently no vaccines against COVID are available for neonates and babies, the American College of Obstetricians and Gynecologists (ACOG) recommends maternal vaccination during pregnancy.

Maternal COVID Vaccination Prevented Other Infections

The retrospective study included 146,031 infants born in Norway between March 2021 and December 2023. Of these, 37, 013 (25 percent) were exposed to COVID-19 vaccination in utero.

The findings showed that babies exposed to the vaccine before birth were no more likely to visit the hospital for overall infections (of any kind) than those whose mothers did not get vaccinated in pregnancy.

However, infants whose mothers were vaccinated were about half as likely to visit the hospital specifically for COVID in their first two months of life compared to babies not exposed to the vaccine in utero.

Among 3 to 5-month-old babies, the risk of a hospital visit for COVID was 24 percent lower in those exposed to the vaccine, but the vaccine's protection against COVID wore off by the time infants were older than 6 months.

Importantly, the mothers' vaccine also prevented the risk of other infections in children.

"There is often an increased risk for a subsequent infection after a viral infection, such as an increased risk of pneumonia after influenza infection, so we wanted to study whether protection against COVID-19 could influence the risk of other infections as well," said lead author Dr. Helena Niemi Eide, from the University of Oslo in Norway, the NPR reported.

"But we found that COVID vaccination in pregnancy protected the infant against COVID and had no apparent effect on other infections," Eide added.

Maternal Vaccine Recommendation in the US

Last week, the American College of Obstetricians and Gynecologists reiterated its recommendation for COVID vaccination during pregnancy.

Despite changes in federal vaccine recommendations due to the US Health Secretary Robert F. Kennedy Jr.’s anti-vaccine stance, the ACOG urged COVID vaccination for

• people who are pregnant,
• recently pregnant,
• considering pregnancy,
• lactating.

Also read: US Judge Blocks RFK Jr.’s Vaccine Schedule, Says Government Ignored Science

"Accumulated safety data from millions of administered doses show no increased risk of adverse maternal, fetal, or neonatal outcomes associated with COVID-19 vaccination in pregnancy,” the ACOG said.