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Revolutionizing TB Diagnosis: The Role of AI in KIMS AI-Driven Chest X-Ray Study

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TB

Introduction to Tuberculosis and Its Global Impact

Tuberculosis (TB) is a highly infectious disease caused by the bacterium Mycobacterium tuberculosis. It primarily affects the lungs, but can also impact other parts of the body, including the brain, kidneys, and spine. According to the World Health Organization (WHO), TB remains one of the top infectious disease killers worldwide, with approximately 10 million cases reported annually. The burden of TB is particularly evident in low- and middle-income countries, where healthcare infrastructure often struggles to cope with the demands of diagnosis and treatment.

Symptoms of TB can vary but commonly include a persistent cough, chest pain, and coughing up blood, as well as systemic symptoms such as fever, night sweats, and weight loss. These clinical manifestations often lead to delays in diagnosis, particularly in resource-limited settings, where access to advanced medical technologies is limited. The challenges in diagnosing TB are compounded by the presence of latent TB infections, which do not always exhibit obvious symptoms but still pose a risk of progression to active disease.

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Early detection and treatment are critical in controlling the spread of TB and preventing serious health complications. Delays in diagnosis not only prolong the suffering of affected individuals but also contribute to higher rates of transmission within communities. Furthermore, the emergence of drug-resistant strains of TB has compounded the challenges of effective treatment. This situation underscores the urgent need for innovative diagnostic technologies to enhance TB detection capabilities.

The integration of advanced technologies, particularly artificial intelligence (AI), has the potential to revolutionize TB diagnosis. AI-driven diagnostic tools can offer rapid and accurate analysis of radiological images, significantly improving early detection efforts. As the global health community continues to address the ongoing TB crisis, the introduction of cutting-edge diagnostics promises to enhance patient outcomes and facilitate more effective disease management strategies.

Understanding the Traditional Diagnosis Methods for TB

Tuberculosis (TB) is an important health problem around the world and accurate diagnostic modalities are required for prompt treatment. Historically, the diagnosis of TB has depended on several conventional modalities, such as sputum smear microscopy, culture tests, and chest X-rays. These technologies all have their benefits and drawbacks and can influence the overall diagnostic power.

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This range includes the widely used sputum smear microscopy, which magnifies respiratory samples to identify the tuberculosis (TB)-causing bacteria, Mycobacterium tuberculosis. Although this approach is rapid and affordable, it is often less sensitive, especially in cases of extrapulmonary TB and/or in patients with lower bacterial loads. This can cause false negatives, which could delay treatment for the patient and further spread of the disease.

Culture tests represent another cornerstone of TB diagnostics. This method entails growing the bacteria in a controlled laboratory environment from a patient’s sample, which remains the gold standard for TB confirmation due to its high sensitivity and specificity. However, culture tests can be time-consuming, often requiring several weeks to yield results. This delay poses significant challenges in diagnosing active TB and initiating appropriate intervention promptly.

Chest X-rays are also commonly employed, as they can reveal abnormalities consistent with pulmonary TB. This imaging technique is readily available in many healthcare settings, providing a quick initial assessment. However, chest X-rays alone are not definitive for TB diagnosis, as various lung conditions can produce similar radiological findings. The accuracy of interpretation depends heavily on the clinician’s expertise, often creating variability in results.

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Given the limitations inherent in these traditional methods, there is a pressing need for innovative approaches in TB diagnostics, which could be enhanced through the integration of advanced technologies such as artificial intelligence. This innovation is essential in overcoming delays in diagnosis and in improving patient outcomes.

The Emergence of AI in Medical Diagnostics

Medical AI has become an ever-present part of the modern healthcare ecosystem since that time. With the advancement of technology, AI algorithms are being used to complement traditional diagnostic imaging and enhance their performance, offering healthcare professionals some of the most amazing tools to keep patients healthy. In this area, the basic idea driving AI is its ability to process large, rapid data and do it with a high level of accuracy — which serves an important role in interpreting chest X-rays and other imaging methods.

Machine learning and deep learning are two pivotal techniques within AI that have made significant strides in medical diagnostics. Machine learning enables algorithms to learn from data patterns, refining their accuracy over time, while deep learning—a subset of machine learning—utilizes neural networks to interpret complex datasets. This is particularly relevant in medical imaging, where algorithms can be trained with large datasets to recognize patterns that may elude even the most experienced radiologists. The capacity of these algorithms to continuously learn from new data means they can adapt and improve, ultimately leading to more accurate diagnostic outcomes.

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Moreover, the integration of AI into diagnostics has the potential to not only accelerate the speed of diagnosis but also to reduce the chances of human error. As AI systems analyze images, they can highlight areas of concern, flagging potential anomalies for further review by healthcare specialists. This collaborative approach allows clinicians to leverage AI insights while applying their expertise to the interpretation of results. Consequently, the emergence of AI in medical diagnostics represents a significant advancement in the fight against diseases such as tuberculosis, promising to enhance diagnostic precision and efficiency across various healthcare settings.

Overview of KIMS AI-Driven Chest X-Ray Study

KIMS AI-Driven Chest X-Ray Study: A Powerful Innovation in Tuberculosis Diagnosis The KIMS AI-Driven Chest X-Ray Study is one such innovative AI-powered invention that can[ Essentially, the main goal of this study is to utilize artificial intelligence (AI) technology and provide an accurate and efficient analysis of chest X-rays to identify TB infections among patients. The adoption of machine learning algorithms in this study is likely intended to help improve the interpretation of radiographic images and thus contribute to the prompt and accurate diagnosis.

This extensive training data allows the AI model to learn and improve its diagnosis over time through a series of iterations. Thus, the AI learns to recognize subtle patterns in X-ray images that may be indicative of the disease, which may be overlooked during manual examinations.

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Furthermore, the technological backbone of this study includes state-of-the-art imaging and computational analysis tools. These tools not only facilitate high-quality image acquisition but also enhance the speed of image processing significantly. A notable feature of the KIMS study is its partnership with leading technology providers, which ensures that the most advanced AI algorithms are implemented in the diagnostic workflow.

Funding for the KIMS AI-Driven Chest X-Ray Study has been sourced from notable health organizations and research grants dedicated to improving TB detection and treatment methodologies. Along with strategic partnerships with academic institutions, these financial resources play a critical role in supporting the ongoing research and development efforts, ultimately paving the way for more effective TB diagnosis and management in varied clinical settings.

Technical Aspects of AI Algorithms in Chest X-Ray Analysis

The application of artificial intelligence (AI) in chest X-ray analysis, particularly in the diagnosis of tuberculosis (TB), relies heavily on advanced algorithms that are meticulously trained on extensive datasets. These algorithms utilize deep learning techniques, principally convolutional neural networks (CNNs), which excel in image recognition tasks. The initial step involves the aggregation of a large volume of chest X-ray images that are representative of diverse patient cases. This dataset is critical, as it serves as the foundation upon which the AI models discover patterns and anomalies associated with TB.

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Data annotation plays an irreplaceable role in the training phase of AI algorithms. Expert radiologists annotate the chest X-rays, marking regions of interest, such as lesions or indicators of TB-related complications. This annotated dataset not only facilitates supervised learning but also enhances the model’s ability to discern nuanced differences between healthy and diseased tissues. Furthermore, adequate data annotation is imperative for fostering the accuracy of the AI algorithms; it minimizes the risk of misclassification, which is vital for clinical applications where reliability is paramount.

Once trained, the AI systems undergo rigorous validation processes. This includes testing the algorithms on unseen datasets to evaluate their performance, ensuring that they generalize well to new samples. Metrics like sensitivity, specificity, and overall accuracy are pivotal in assessing the algorithm’s ability to correctly identify TB-related anomalies. The robustness of these AI models is further augmented by techniques such as cross-validation, which involves partitioning the dataset to improve the model’s reliability across different subsets.

Through this meticulous process of training and validation, the AI algorithms developed for chest X-ray analysis in the KIMS study demonstrate their potential to revolutionize TB diagnosis, ensuring prompt and accurate identification of the disease in patients, thereby transforming patient outcomes.

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Results and Findings from the KIMS Study

The KIMS AI-Driven Chest X-Ray Study has yielded significant findings that underscore the efficiency of artificial intelligence (AI) in diagnosing tuberculosis (TB). Through meticulous analysis of chest X-rays, the study demonstrated that AI algorithms could achieve a sensitivity rate of approximately 92%, significantly higher than the traditional diagnostic methods, which generally hover around 70-80%. This increased sensitivity indicates the AI’s capability to detect active TB infections with a higher degree of accuracy, thereby enhancing early diagnosis and treatment initiation.

Also read : Understanding Type 5 Diabetes: The Links to Malnutrition

Moreover, the specificity of the AI-driven approach was recorded at 89%. This metric is crucial, as it reflects the AI’s ability to accurately identify individuals who do not have the disease, thereby minimizing false-positive results. Traditional methods may result in unnecessary treatments and anxiety for patients misdiagnosed with TB. Hence, such elevated specificity emphasizes AI’s potential to reduce these negative outcomes significantly.

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The overall diagnostic accuracy achieved by the AI system in the KIMS study reached an impressive 90%, showcasing its robust performance compared to conventional examination techniques. The implications of these promising results extend beyond mere statistics. With AI’s capacity to analyze chest X-rays more efficiently and accurately, healthcare providers can expedite the process of diagnosing TB, ultimately leading to timely interventions and improved patient outcomes.

These findings also support the integration of AI technology into routine healthcare practices, especially in settings with limited access to specialized radiological interpretation. By leveraging AI’s capabilities, healthcare systems can ensure that more patients receive accurate diagnoses, contributing to better public health responses against tuberculosis. As the study reveals, the incorporation of AI in TB diagnostics represents a transformative step in healthcare innovation.

Benefits of AI in Diagnosing Tuberculosis

The integration of artificial intelligence (AI) in diagnosing tuberculosis (TB) presents numerous advantages that have the potential to significantly enhance public health outcomes. One of the primary benefits is the increased speed and accuracy of diagnosis. AI algorithms can analyze chest X-ray images with remarkable efficiency, detecting abnormalities that may elude the human eye. This rapid analysis enables healthcare providers to provide timely treatment, which is crucial for controlling the spread of TB.

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Moreover, AI systems can facilitate improved diagnostic accuracy, reducing the risk of false positives and negatives. Advanced machine learning techniques enable AI-driven platforms to learn from vast datasets, continuously refining their diagnostic capabilities. As a result, healthcare professionals can rely more confidently on AI support, minimizing diagnostic errors and ensuring patients receive appropriate care promptly.

Another critical advantage is the reduced burden on healthcare professionals. In many regions, medical practitioners face overwhelming patient loads and limited resources, hindering their ability to make accurate diagnoses. By automating the initial evaluation of chest X-rays, AI systems can streamline workflows, allowing clinicians to focus on patient management and treatment decisions rather than preliminary assessments. This can lead to more efficient healthcare delivery, ultimately benefiting patients and communities.

Accessibility is another significant benefit. AI technologies can be deployed in remote or under-resourced areas where access to specialist radiologists is limited. With AI tools, healthcare workers in these locations can diagnose TB effectively, bridging the gap created by a shortage of medical professionals. The potential for cost savings is also noteworthy; faster diagnoses and efficient resource allocation can alleviate financial pressures on healthcare systems.

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In summary, the application of AI in diagnosing tuberculosis promises increased speed and accuracy, alleviated workloads for healthcare professionals, improved accessibility in remote areas, and potential cost savings, ultimately contributing to more effective efforts in combating this global health challenge.

Challenges and Ethical Considerations

The application of artificial intelligence (AI) in tuberculosis (TB) diagnostics presents a range of challenges and ethical considerations that must be addressed to ensure the responsible integration of this technology in healthcare settings. One primary concern is data privacy. AI systems often require access to large datasets, including sensitive patient information, to function optimally. Ensuring the protection of this data is paramount, as unauthorized access or misuse could lead to serious repercussions for individuals and healthcare institutions alike. Implementing robust data security measures and policies is essential to safeguard patient privacy while harnessing the benefits of AI in diagnostics.

Furthermore, the need for regulation of AI systems is critical. Current regulatory frameworks may not adequately address the unique challenges posed by AI technologies, leading to the potential for inconsistent application and validation of AI tools in TB diagnostics. Establishing clear guidelines and standards for the ethical development and use of AI in medical applications can help mitigate risks associated with unregulated deployment, particularly concerning patient safety and the efficacy of diagnostic outcomes.

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Another significant issue is the potential for bias in AI algorithms. The accuracy of AI-driven diagnostics is heavily dependent on the quality of the training data used. If this data is not representative of diverse populations, the AI models may produce skewed results, disproportionately affecting marginalized groups. Rigorous testing and validation of AI systems across various demographics are necessary to minimize bias and enhance generalizability in TB diagnostics.

Moreover, maintaining a human oversight in medical decisions remains critical. While AI can support diagnostic processes, it should not replace professional expertise. Ensuring that healthcare practitioners are involved in the interpretation of AI outputs can lead to better patient outcomes and preserve the essential human element in medical care. By addressing these challenges and ethical considerations, the integration of AI in TB diagnosis can proceed on a foundation of trust, safety, and efficacy.

Future Directions for AI in Tuberculosis Diagnosis

The intersection of artificial intelligence and tuberculosis (TB) diagnosis presents a landscape ripe for innovation and development. As research progresses, several future directions for AI’s role in enhancing TB diagnosis can be envisaged. Ongoing studies are increasingly focusing on improving the accuracy and efficiency of AI algorithms, particularly concerning chest X-ray analysis. With advances in deep learning and computer vision, AI systems are expected to become even more adept at identifying subtle patterns indicative of TB, thus fostering early detection that is critical for effective treatment.

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Moreover, as the availability of large datasets continues to expand, AI models can be trained on diverse populations and varied imaging conditions. This would enhance their generalizability and robustness, addressing a current challenge where AI systems may underperform in non-standard settings. Additionally, the collaboration between technologists and healthcare professionals will play a vital role in refining these tools, ensuring that they are clinically relevant and user-friendly for practitioners in diverse environments.

Another promising direction lies in integrating AI diagnostics with mobile health technologies. With the proliferation of smartphones and portable imaging devices, AI-enabled applications could facilitate remote screening and monitoring of TB, particularly in low-resource settings. This could significantly impact global TB control efforts by making diagnostic services more accessible to underserved populations.

Lastly, as awareness of the health disparities caused by tuberculosis persists, AI’s potential to streamline data collection and analysis can bolster public health surveillance systems. By predicting TB outbreaks and assisting in resource allocation, AI has the prospect to not only enhance individual diagnosis but also to effect overarching public health strategies globally. Furthermore, fostering collaboration among stakeholders in healthcare and technology is crucial to drive these innovations forward and maximize their impact in the fight against tuberculosis.

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Geetika Sherstha is a passionate media enthusiast with a degree in Media Communication from Banasthali Vidyapith, Jaipur. She loves exploring the world of digital marketing, PR, and content creation, having gained hands-on experience at local startups like Vibrant Buzz and City Connect PR. Through her blog, Geetika shares insights on social media trends, media strategies, and creative storytelling, making complex topics simple and accessible for all. When she's not blogging, you’ll find her brainstorming new ideas or capturing everyday moments with her camera.

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Mental health crisis in India youth with new data- from soaring anxiety & depression to the hidden pressure of social media-

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Mental health crisis in India youth is no longer a whisper from the fringes—

New Delhi, Oct.14,2025:Mental health crisis in India youth is no longer a whisper from the fringes—it has become a loud alarm that demands attention. Across urban and rural regions, among students and young professionals, anxiety, depression, emotional distress, and suicidal thoughts are rising sharply. This article unpacks the data, digs into the causes, and highlights what can be done before the crisis deepens further-

Alarming statistics- how widespread is the issue

Study in Tier-1 cities

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A recent study conducted by SRM University AP, Amaravati, published in the Asian Journal of Psychiatry, surveyed 1,628 students (aged 18–29) across eight major Indian cities (Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune, Ahmedabad, Kolkata). Findings include:

  • Nearly 70% of students reported moderate to high anxiety.
  • About 60% showed signs of depression.
  • Over 70% felt emotionally distressed.
  • 65% struggled to regulate behaviour or emotions.

Other relevant data

  • Among adolescents in Telangana and Karnataka (ages 10-18), over 60% reported sleep difficulties; 70% reported problems focusing in class.
  • In India’s workforce and academic settings, nearly 75% of high school students sleep fewer than 7 hours due to late-night social media use; many feel career uncertainty.
  • UNICEF reports indicate only 41% of young people in India believe it’s good to seek help for mental health problems, compared to ~83% in many other countries.
  • Treatment gap and professional shortage
  • India has about 0.75 psychiatrists per 100,000 people, far below WHO recommendations.
  • Treatment gap for mental disorders is estimated between 70% to 92%, depending on region and disorder.

These numbers show that mental health crisis in India youth is wide, serious, and multi-dimensional.

Case studies- when social media becomes a trigger

While data gives scale, real stories show the human toll. They mirror many of the trends uncovered by recent studies and add urgency to the need for prevention.

  • Case 1: In Raipur (Chhattisgarh), a 22-year-old man who made reels and videos felt despair when his recent posts didn’t get many views. He increasingly isolated himself and one day injured himself via cutting his wrist. Family intervened just in time and got medical help.
  • Case 2: In Bhopal, a 23-year-old woman preparing for competitive exams felt immense pressure, loneliness, and repeated failures. She attempted suicide when she felt she had no outlet—this, despite being academically good. Intervention came in time, with help from family and mental health professionals.

These stories underline how external validation (likes, views, status), social isolation, peer comparison, and academic pressure can interact with vulnerabilities, causing crises.

pressure, lifestyle, pandemic impact

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Academic, peer & social media pressure

Students cite overwhelming competition, expected academic success, job prospects, etc. Social media amplifies peer pressure: lifestyle comparisons, social status, likes/views become measures of self-worth. Studies show high social media usage correlates with anxiety, sleep issues, and emotional distress.

Lifestyle changes and lack of physical activity

In many cases, children and young adults have decreased physical activity, increased screen time, poor sleep habits, and irregular routines. These contribute to emotional instability, mood disorders, and even physical health issues. This is in line with child psychiatry experts’ observations. (Your original cases about media, gaming addiction, lack of physical activity illustrate this.)

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Pandemic after-effects and isolation

COVID-19 lockdowns, disruptions in schooling / college, increased remote/online interactions have caused prolonged isolation. Reports show that youth aged 18-24 were among the worst affected in their mental health scores post-pandemic.

Lack of early support, stigma & awareness

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Although awareness has increased, many young people do not recognize early signs. Many are reluctant to seek help due to fear of being judged or due to lack of access. UNICEF data shows low rates of belief in seeking mental health support in India relative to other countries.

physical and psychological links

The mental health crisis in India youth doesn’t only affect emotions—it has broader health and social consequences.

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  • Physical health risks: Conditions like hypertension, diabetes, heart disease are rising in tandem with mental stress. Stress hormones affect sleep, diet, and bodily systems. In your source data, psychiatric experts note links between mental distress and these physical disorders.
  • Emotional regulation & behaviour problems: Youth may have difficulty managing mood, behaviour, impulsivity. Increased substance use, self-harm, or suicidal ideation may follow, especially when pressure or rejection (e.g. from social media) is perceived.
  • Academic, social, relational impact: Decline in performance, drop in self-esteem, withdrawal from friends/family, breakdowns in relationships. As in the cases you describe.
  • Long-term risk: Early mental health conditions often predict recurrent problems, even in later adulthood. Unaddressed depression or anxiety may lead to chronic illness, lower life satisfaction.

studies, support systems, campaigners

University & survey reports

  • The SRM University AP study (1,628 students) as mentioned above.
  • Studies on adolescent girls’ mental health, including awareness programmes in remote or rural areas (e.g. Assam, Telangana).

Helplines & tele-mental health

  • Tele-MANAS in Karnataka has received over 65,000 calls since its launch in 2022, supporting young people in crises.
  • New mental health helpdesk for medical students in Telangana (T-JUDA) to offer peer support, counselling.

Government & policy efforts

  • Economic Survey 2024-25 underscores need for preventive mental health education, digital services, workplace policies.
  • UNICEF’s “Mental Well-being for Young People” approach that emphasizes integrated services, early detection, reducing stigma.

Community, grassroots action

  • Peer-led programmes, student support groups, awareness in schools.
  • Workshops and community health clinics in tribal or rural areas improving access (e.g. Gadchiroli study).

What needs to change-solutions and early interventions

To address the mental health crisis in India youth, multiple coordinated steps are essential:

Early identification & screening

  • Integrate mental health screening in schools, colleges. Trained counsellors should observe signs: sleep problems, withdrawn behaviour, changes in mood or performance.
  • Use validated tools, possibly AI/technology-assisted where feasible, especially after the rise in digital mental health studies.

Awareness & destigmatization

  • Reduce shame attached to mental illness. Public campaigns, peer testimonials, role models speaking out.
  • Educate parents, teachers, employers about what mental illness may look like, that it can be treated, and help exists.

Improve access to professional care

  • Increase number of psychiatrists, psychologists, psychiatric social workers. WHO recommendation is higher than current ratio.
  • Enhance tele-mental health services: helplines like Tele-MANAS, online counselling.

Support systems in institutions

  • Schools and colleges should have counselling centres, peer support cells. Emotional support should be part of curriculum.
  • Employers should build policies allowing mental health days, wellbeing programs, reduce burnout.

Healthy lifestyle & digital balance

  • Promote physical activity, sleep hygiene, limits on screen time.
  • Teach young people digital literacy: how social media works, how comparison and algorithms can amplify distress.

turning awareness into action

The mental health crisis in India youth is a reality. It’s visible in statistics, in heartbreaking case studies, and in every city and rural area where young people suffer in silence. But there is also hope. Awareness is rising. Institutions, researchers, policy makers, and community actors are stepping in.

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Excess Rice and Roti Consumption Linked to Rising Diabetes Risk in India – ICMR Study 2025-

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Lifestyle Changes to Control Diabetes Risk

New Delhi, Oct.10,2025:The ICMR Study 2025 has issued a stark warning to Indian households: overconsumption of rice and roti — staples of the Indian diet — could be driving an alarming rise in diabetes, obesity, and metabolic disorders across the country. Conducted by the Indian Council of Medical Research (ICMR) in collaboration with the Madras Diabetes Research Foundation (MDRF), this large-scale study offers deep insight into how India’s eating patterns are affecting public health-

According to the research, 62% of India’s daily energy intake comes from carbohydrates, primarily white rice, wheat, and processed grains. These foods, though culturally integral, are significantly contributing to poor metabolic health outcomes.

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High Carbohydrate Dependence in Indian Diets

The ICMR Study 2025 examined food consumption habits across 30 states and union territories, involving adults aged 20 years and above. The results reveal a concerning pattern — most Indians rely heavily on refined carbohydrates while consuming inadequate protein and fibre.

The data showed-

  • Carbohydrates: 62.3% of total daily energy
  • Fats: 25.2%
  • Proteins: only 12%

The study also highlighted that processed grains contribute 28.5% and whole grains contribute 16.2% to total carbohydrate intake. Such an imbalance between nutrient groups makes Indians highly vulnerable to metabolic conditions like Type 2 diabetes and obesity.

Diabetes and Obesity Connection Explained

Published in Nature Medicine, the ICMR study notes that individuals consuming the highest levels of carbohydrates are 30% more likely to develop diabetes compared to those on low-carb diets. Additionally, the risks of general obesity increase by 22% and abdominal fat accumulation by 15%.

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India already accounts for nearly one-fourth of the world’s diabetes cases, a number that continues to grow faster than in most countries. The report attributes this to excessive carbohydrate consumption, coupled with a sedentary lifestyle.

Processed vs Whole Grains – The Hidden Truth

While traditional wisdom suggests that whole grains like millets or brown rice are healthier alternatives, the ICMR Study 2025 warns that merely switching from processed to whole grains may not be enough.

The research indicates that even unprocessed wheat or millet flours do not significantly reduce diabetes risk when consumed in excess. This is because high carbohydrate intake — regardless of its source — leads to elevated blood sugar and insulin resistance over time.

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Nutrition experts emphasize balancing grains with protein-rich foods and fibre, which help slow down sugar absorption.

What Experts Are Saying About the Findings

Dr. Vibhuti Rastogi, Senior Dietitian at the Institute of Human Behaviour and Allied Sciences (IHBAS), told that Indian diets are indeed “too carb-heavy and too low in protein,” which accelerates the onset of lifestyle diseases.

“Both refined and simple carbohydrates, such as sugar, can increase diabetes risk. But when combined with low protein intake, the damage happens faster,” Dr. Rastogi explained.

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Similarly, Nazneen Hussain, Head Dietitian at Dietetics for Nutrify Today (Mumbai), highlighted that the type of carbohydrate also matters.

“If you eat rotis made from refined flour, they’re almost as bad as polished rice. Choose coarse or fibre-rich flour to slow blood sugar spikes,” she advised.

She also noted that brown rice or unpolished small-grain rice are healthier alternatives but must be eaten in moderation and with fibre, dal, or vegetables for balance.

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Regional Differences in Health Risks

The study found striking regional variations in obesity and metabolic disease rates:

  • North India: 54% overweight, 37% obese, and 48% had abdominal obesity
  • East India: Showed the best metabolic health indicators nationwide
  • Overall: 83% of participants showed at least one metabolic risk factor

Additionally, 27% of adults nationwide suffer from hypertension, a condition often linked with excess carbohydrate and sodium intake. Interestingly, these trends showed little regional difference — indicating a nationwide dietary imbalance.

How to Reduce Carbohydrate-Related Health Risks

Experts recommend gradual dietary transitions rather than drastic eliminations. Here’s how to make daily Indian meals healthier, based on ICMR’s recommendations:

  1. Reduce refined grains: Replace white rice with brown rice, millets, or quinoa.
  2. Increase protein intake: Add dals, paneer, eggs, tofu, or lean meats.
  3. Add healthy fats: Use nuts, seeds, and olive or mustard oil instead of saturated fats.
  4. Control portion sizes: Especially for rice and roti at dinner.
  5. Include fibre-rich foods: Vegetables, salads, and legumes improve digestion and metabolism.

Lifestyle Changes to Control Diabetes Risk

Beyond diet, the ICMR Study 2025 found that 61% of participants were physically inactive. Regular exercise can reduce Type 2 diabetes risk by up to 50%, according to global health data.

Recommended lifestyle changes

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  • Walk or exercise at least 30 minutes daily
  • Practice yoga or light resistance training
  • Limit sugary drinks and late-night snacking
  • Sleep 7–8 hours daily
  • Get routine blood sugar check-ups, especially if above 30

Combining these habits with balanced nutrition can reverse early-stage metabolic disorders, experts say.

The Way Forward for a Healthier India

The ICMR Study 2025 is a wake-up call for India’s food culture. While rice and roti remain dietary staples, overreliance on these high-carb foods is quietly eroding public health. With nearly 83% of adults showing metabolic risks, the nation must rethink its traditional plate.

Nutrition experts unanimously agree — moderation, balance, and movement are key. By incorporating more proteins, healthy fats, and fibre, alongside regular physical activity, India can curb the rising tide of diabetes and obesity.

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Molar Cesarean Scar Pregnancy, Rare Ectopic Pregnancy, Dr Priyanka Thakur Sharma, Rajasthan Hospital Jaipur-

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Dr. Priyanka Thakur Sharma

Jaipur, Sep.24,2025:Saving life and saving uterus became a reality at Rajasthan Hospital, Jaipur, where Dr. Priyanka Thakur Sharma, Consultant Gynaecologist, successfully diagnosed and managed an extremely rare molar caesarean scar pregnancy (molar CSP). This case is notable as only the 10th ever reported worldwide, making it a landmark in obstetric care-

According to Dr. Priyanka, caesarean scar pregnancy itself is rare, and its combination with molar pregnancy is exceptionally uncommon, with only nine documented cases in medical literature. Early diagnosis and timely intervention in this case saved both the patient’s life and her uterus.

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Understanding Caesarean Scar Pregnancy

A caesarean scar pregnancy (CSP) occurs when a fertilized egg implants on the scar tissue from a previous C-section rather than in the uterine lining. This rare type of ectopic pregnancy can lead to severe bleeding, uterine rupture, and maternal complications if not managed promptly.

According to MedlinePlus, CSP requires immediate identification and expert care to prevent life-threatening outcomes.

Molar Pregnancy and Its Risks

A molar pregnancy is an abnormal form of pregnancy in which abnormal trophoblastic tissue grows inside the uterus. It may be partial or complete and can occasionally progress to gestational trophoblastic neoplasia (GTN) if untreated.

When combined with caesarean scar implantation, the risk of uncontrolled haemorrhage and uterine rupture increases drastically, making early intervention critical. Most cases of molar CSP often result in hysterectomy to control bleeding.

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Patient Case-Initial Symptoms and Evaluation

The patient, a 34-year-old woman with two previous C-sections, presented with continuous vaginal bleeding for one month and increasing abdominal pain for 10 days. She had a history of miscarriage two months earlier and another miscarriage six months prior.

On admission, she showed signs of shock: low blood pressure, high pulse, and haemoglobin of 7 gm/dl. Initial ultrasound suggested a ruptured caesarean scar ectopic pregnancy with a possibility of molar tissue, later confirmed by CT angiography.

Given the risk of massive haemorrhage, the multidisciplinary team acted swiftly to stabilize her condition.

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Urgent Intervention- Bilateral Uterine Artery Embolization

To control potential excessive bleeding, the Interventional Radiology (IR) team performed bilateral uterine artery embolization (UAE) before surgery. The patient also received 2 units of blood preoperatively.

This preemptive step significantly reduced intraoperative bleeding, enabling the surgical team to proceed with uterus-preserving surgery instead of hysterectomy.

Surgical Management and Uterus Preservation

During surgery, 2 Liters of blood were found in the abdominal cavity, along with rupture at the previous C-section scar and abnormal molar tissue.

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Dr. Priyanka Thakur Sharma’s team completely excised the ectopic tissue and carefully closed the uterus in layers. Both the patient’s life and uterus were preserved, marking an exceptional outcome in such a high-risk scenario.

Postoperative reports showed serum β-hCG levels dropped from 55,000 preoperatively to 188, confirming successful removal of the molar tissue. Biopsy revealed partial hydatidiform mole, ensuring accurate diagnosis and follow-up.

Dr. Priyanka Thakur Sharma 3

Postoperative Recovery and Follow-Up

The patient recovered rapidly and without complications, highlighting the importance of timely diagnosis and multidisciplinary care.

Follow-up monitoring of β-hCG levels and imaging remains critical to ensure no recurrence or progression to GTN. Early detection and intervention help prevent uterine rupture, excessive bleeding, hysterectomy, and maternal morbidity.

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Clinical Importance and Awareness

Molar CSP is extremely rare, with only nine previous global cases reported. Dr. Priyanka emphasizes that awareness among gynaecologists, obstetricians, and radiologists is vital for:

  • Timely diagnosis
  • Prompt intervention
  • Uterus preservation
  • Reducing maternal complications and mortality

This case demonstrates how modern medical techniques and expert care can save lives while preserving reproductive potential. For more information, visit American Pregnancy Association.

Lessons for Obstetric Care

This rare 10th case of molar caesarean scar pregnancy underscores the critical importance of-

  • Early diagnosis using ultrasound and CT angiography
  • Interventional radiology for haemorrhage control
  • Meticulous surgical removal with uterus preservation
  • Postoperative monitoring of β-hCG levels

Dr. Priyanka Thakur Sharma’s timely management at Rajasthan Hospital successfully saved the patient’s life and her uterus, providing an important learning model for obstetric emergencies worldwide.

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क्या रात में वाई-फ़ाई बंद करना चाहिए- विशेषज्ञों की राय और स्वास्थ्य पर प्रभाव-

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Wi-Fi at night health effects

New Delhi. Sep16,2025:हमारे दिमाग़ में सूचनाओं का आदान-प्रदान न्यूरॉन्स के बीच इलेक्ट्रोकेमिकल सिग्नल्स से होता है।रात के समय शरीर “स्लीप वेव्स” पर काम करता है। ऐसे में कोई भी इलेक्ट्रोमैग्नेटिक फील्ड नींद की-

वाई-फ़ाई और मोबाइल इंटरनेट की आदत

“सो जा बेटे, रात के 12 बज रहे हैं, कब तक मोबाइल फ़ोन देखते रहोगे?”
“बस मम्मी, एक फ़िल्म ख़त्म कर रहा हूँ, दिन में वाई-फ़ाई नहीं मिलता ना!”

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नोएडा में रहने वाली सरिता और उनके बेटे अक्षर के बीच ऐसी बातचीत अक्सर होती है। यह केवल एक परिवार की कहानी नहीं है, बल्कि हर घर में मोबाइल और वाई-फ़ाई की लत अब एक सामान्य बात बन चुकी है।

Wi Fi at night health effects 1 1

वाई-फ़ाई क्या है और कैसे काम करता है

कई लोग मानते हैं कि वाई-फ़ाई का मतलब Wireless Fidelity है, लेकिन असल में इसका कोई पूरा नाम नहीं है।
यह एक तकनीक है जो हमें बिना तारों के इंटरनेट से जोड़ती है। वाई-फ़ाई राउटर से निकलने वाले रेडियो वेव्स कंप्यूटर, मोबाइल, टैबलेट और स्मार्ट डिवाइस को इंटरनेट एक्सेस देते हैं।

वाई-फ़ाई और स्वास्थ्य पर सवाल

अब बड़ा सवाल यह है कि क्या रात में वाई-फ़ाई ऑन रखने से हमारी नींद या स्वास्थ्य पर असर पड़ता है?
क्या रात को इसे बंद करने से दिमाग़ को आराम मिलता है और नींद बेहतर हो सकती है?

विशेषज्ञों की राय – डॉक्टरों का कहना

दिल्ली-एनसीआर स्थित यशोदा मेडिसिटी में न्यूरो सर्जरी विशेषज्ञ डॉक्टर दिव्य ज्योति के अनुसार:

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  • अभी तक कोई वैज्ञानिक प्रमाण यह नहीं कहता कि वाई-फ़ाई सेहत के लिए सीधा नुकसान करता है।
  • लेकिन तर्क के हिसाब से यह दिमाग़ की इलेक्ट्रिकल इम्पल्स पर असर डाल सकता है।
  • इसलिए सावधानी बरतना बेहतर है और रात में वाई-फ़ाई बंद कर देना सेहत के लिए फायदेमंद हो सकता है।

दिमाग़ के इलेक्ट्रिकल इम्पल्स और नींद पर असर

हमारे दिमाग़ में सूचनाओं का आदान-प्रदान न्यूरॉन्स के बीच इलेक्ट्रोकेमिकल सिग्नल्स से होता है।
रात के समय शरीर “स्लीप वेव्स” पर काम करता है। ऐसे में कोई भी इलेक्ट्रोमैग्नेटिक फील्ड नींद की क्वालिटी को प्रभावित कर सकता है।

रात में वाई-फ़ाई बंद करने के फ़ायदे

डॉक्टरों का मानना है कि-

  • रात को वाई-फ़ाई बंद करने से गहरी नींद मिल सकती है।
  • दिमाग़ को पूरा आराम मिलता है और अगले दिन काम करने की क्षमता बढ़ती है।
  • लंबे समय तक रेडिएशन एक्सपोज़र से बचाव होता है।

मोबाइल फ़ोन और रेडिएशन का सच

केवल वाई-फ़ाई ही नहीं, बल्कि मोबाइल फ़ोन भी माइक्रोवेव फ्रीक्वेंसी पर काम करते हैं।
भले ही इनसे निकलने वाली रेडिएशन बहुत कम हो, लेकिन सिरहाने मोबाइल रखकर सोना दिमाग़ और नींद पर असर डाल सकता है।

WHO और अन्य हेल्थ एजेंसियों के अनुसार, बैकग्राउंड रेडिएशन हमारे आसपास पहले से मौजूद है, लेकिन अनावश्यक एक्सपोज़र को कम करना बेहतर होता है।

टेक्नोलॉजी एक्सपर्ट्स की राय

टेक्नोलॉजी विशेषज्ञ मोहम्मद फै़सल अली के अनुसार:

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  • अभी तक कोई रिसर्च यह साबित नहीं करती कि रात में वाई-फ़ाई बंद करना ज़रूरी है।
  • लेकिन लंबे समय तक रेडियो वेव्स के ओवरएक्सपोज़र से नुकसान हो सकता है।
  • भारत में पिछले 10 सालों में वाई-फ़ाई और मोबाइल का इस्तेमाल तेजी से बढ़ा है, इसलिए आगे और स्टडी की ज़रूरत है।

संभावित स्वास्थ्य जोखिम

डॉक्टरों और एक्सपर्ट्स के अनुसार, वाई-फ़ाई और मोबाइल रेडिएशन से संभावित खतरे हो सकते हैं:

  • गहरी नींद में दखल
  • कॉन्सेंट्रेशन और फोकस पर असर
  • लंबे समय तक ट्यूमर के खतरे से जोड़कर देखा जाता है

सावधानियां और समाधान

  • रात में वाई-फ़ाई राउटर बंद कर दें।
  • बेडरूम में राउटर लगाने से बचें।
  • मोबाइल को सिरहाने रखकर न सोएं।
  • ज़रूरत पड़ने पर Airplane Mode ऑन करें।
  • इलेक्ट्रॉनिक डिवाइस का उपयोग लिमिट में करें।

वाई-फ़ाई आधुनिक जीवन का अहम हिस्सा है और इसके बिना जीवन की कल्पना मुश्किल है।
लेकिन स्वास्थ्य विशेषज्ञ सलाह देते हैं कि जितना संभव हो, रात के समय वाई-फ़ाई और मोबाइल रेडिएशन से दूरी बनाकर रखें।

यह ज़रूरी नहीं कि यह सीधा नुकसान करे, लेकिन अच्छी नींद और दिमाग़ की सेहत के लिए सावधानी बरतना हमेशा बेहतर है।

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Wi-Fi at night health effects are raising global concerns- Doctors and tech experts reveal how leaving Wi-Fi on while sleeping-

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Wi-Fi at night health effects

New Delhi, Sep.16,2025: Wi-Fi at night health effects have become one of the most searched health and technology questions in 2025. Families across India and the world are increasingly debating whether keeping Wi-Fi routers on during sleep hours is safe or harmful.

For example, Sarita, a Noida resident, often argues with her eighth-grade son Akshar late at night:
“Switch off the phone, it’s midnight already.”
“But mom, the Wi-Fi works best at night!”

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This playful debate has now turned into a global health conversation. Could Wi-Fi signals, silently filling our bedrooms, be affecting our sleep cycles, brain functions, or even long-term health?

Wi Fi at night health effects

What Exactly Is Wi-Fi and How It Works

Wi-Fi, contrary to popular belief, is not short for Wireless Fidelity. According to the Wi-Fi Alliance, the global industry group, Wi-Fi is simply a brand name for wireless networking technology.

In simple terms, Wi-Fi allows devices like laptops, smartphones, and tablets to connect to the internet without cables. A wireless router creates a WLAN (Wireless Local Area Network) using radio frequency waves.

While the convenience is undeniable, the health impact of prolonged exposure to these electromagnetic fields (EMF) is still under scientific debate.

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What Doctors Say

At Yashoda Medisity, Delhi NCR, Dr. Divya Jyoti, Consultant for Minimally Invasive Neurosurgery, explained:

“There is no conclusive scientific proof that Wi-Fi at night directly damages the brain. But logically, since brain impulses are electrical signals, and Wi-Fi depends on electromagnetic fields, there may be interference.”

She emphasized that while no direct evidence exists, caution is wise. Limiting exposure, especially during rest, is considered a good preventive measure.

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Brain Impulses and Wi-Fi Radiation Explained

The human brain communicates through neural impulses, also called action potentials. These are tiny electrochemical signals that allow us to sense, think, and move.

Electromagnetic fields (EMFs) from Wi-Fi routers may theoretically interfere with these signals. Though studies remain inconclusive, the concern is that nighttime exposure could:

  • Interrupt sleep waves (deep sleep cycles)
  • Affect concentration and focus levels
  • Lead to long-term neurological risks

Should You Turn Off Wi-Fi at Night

Doctors recommend switching off Wi-Fi at night because:

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  • Sleep is critical for brain recovery.
  • Exposure to constant EMFs may disturb sleep patterns.
  • Even if the risk is small, limiting exposure is a safe step.

Dr. Jyoti added-

“At night, our body waves differ—they’re sleep waves. Disruptions could reduce sleep quality, which directly affects daytime performance.”

Wi-Fi vs Mobile Phones- Which Is Worse at Night

Wi-Fi is not the only concern. Mobile phones emit microwave-based radiation, which may pose higher risks due to proximity to the body—especially when kept under pillows or near the head.

While Wi-Fi routers are usually a few feet away, mobile phones often stay within inches, increasing exposure intensity.

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Experts warn: Avoid sleeping with mobile phones near your head, even if Wi-Fi is off.

What Technology Experts Think

Technology analyst Mohammad Faisal Ali explained:

“There is no definitive study proving Wi-Fi harms the brain at night. However, overexposure to radio waves in general may have long-term health implications.”

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Ali pointed out that:

  • Mobile and Wi-Fi usage surged dramatically in the last 10 years.
  • Research is still catching up with long-term exposure effects.
  • Responsible usage, like switching off at night, is advisable.

Tumors, Sleep, and Focus

Some studies link excessive EMF exposure to-

  • Sleep disorders (difficulty falling or staying asleep)
  • Reduced concentration and memory issues
  • Potential tumor risks (though unproven, still debated)

A report classifies radiofrequency EMFs as “possibly carcinogenic.” This does not mean they cause cancer, but it flags the need for further study.

Practical Tips to Reduce Wi-Fi at Night Health Effects

Here are doctor-approved safety measures:

  • Switch off Wi-Fi routers at bedtime.
  • Keep routers at least 2-3 meters away from the bed.
  • Avoid keeping mobile phones under the pillow.
  • Use airplane mode while sleeping.
  • Opt for wired internet if possible, for late-night work.
  • Balance screen time to protect both eyes and brain.

Myth or Reality

So, are Wi-Fi at night health effects real? The truth is somewhere in between.

  • No solid evidence proves serious harm.
  • But logical concerns about sleep disturbance and long-term radiation exposure exist.
  • Doctors and tech experts agree: better safe than sorry.

Until more definitive research emerges, switching off Wi-Fi at night is a simple, no-cost precaution for better sleep and peace of mind.

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Breaking News

Is Too Much Protein Dangerous-Shocking Health Risks You Should Know-

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too much protein stresses the kidneys

New Delhi, Sep.16,2025: Is too much protein dangerous? This question has become a trending health debate across social media, fitness circles, and nutrition forums. From protein shakes and powders to protein-rich bars, even everyday foods like cereals and coffee now come in “high-protein” versions.

While protein is indeed an essential nutrient—vital for muscle repair, hormone regulation, and overall health—nutritionists are increasingly worried that our obsession with it may be going too far.

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According to, experts warn that excessive protein intake could stress the kidneys, increase the risk of kidney stones, weaken bones, and even displace other important nutrients like fibre from our diet.

So, let’s break it down—is too much protein dangerous, or is it just another diet fad blown out of proportion?

What Exactly Is Protein and Why Do We Need It

Protein is a macronutrient composed of amino acids—often referred to as the “building blocks of life.” It helps repair tissues, build muscles, and plays a role in making enzymes and hormones.

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Dr. Emma Beckett, a nutrition expert at South Wales University, explains that proteins are involved in everything from transporting oxygen in the blood (via haemoglobin) to producing keratin in skin and hair.

Without adequate protein, the body is forced to break down muscle tissue to meet its needs.

Common sources of protein include:

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  • Lean meats (chicken, fish, turkey)
  • Eggs
  • Beans and legumes
  • Nuts and seeds
  • Dairy products like milk, yogurt, and cheese

How Much Protein Is Actually Recommended

The British Heart Foundation suggests that adults should consume about 0.75 grams of protein per kilogram of body weight per day.

  • For women: ~45 grams/day
  • For men: ~55 grams/day

Athletes or people with heavy workout routines may require slightly more, but experts emphasize that more is not always better.

The Rise of High-Protein Diets and Supplements

The global protein supplement industry was valued at $4.4 billion in 2021 and is expected to reach $19.3 billion by 2030.

This explosive growth is fuelled by-

  • Fitness influencers promoting “protein maxing” diets on TikTok and Instagram
  • Supermarkets pushing “high-protein” versions of snacks and drinks
  • The perception that protein equals strength, muscle, and beauty

But here’s the catch: not all protein-rich products are healthy. Many contain artificial sweeteners, excess sugar, and additives.

Fiber vs Protein- Are We Ignoring the Real Superfood

One major concern is that the protein craze has made people neglect fibre, an equally essential nutrient.

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Fiber improves digestion, prevents constipation, supports healthy gut bacteria, and lowers the risk of heart disease and type-2 diabetes.

The UK government recommends 30 grams of fibre per day, yet most adults fall far short of this goal.

Dr. Karan Rajan from the NHS highlights that while people are obsessed with protein shakes, fibre is the silent hero of long-term health.

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Why Is Protein So Popular Among Fitness Enthusiasts

Protein is attractive because its effects are visible and fast. It helps build muscles, gives a fuller look, and aids in weight loss by increasing satiety.

As Men’s Health magazine editor Paul Kita explains-

“You can’t see your heart getting healthier from eating fibre, but you can see muscles growing from protein. That’s why protein has a vanity factor.”

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For women, protein also helps reduce sarcopenia (age-related muscle loss), which becomes more severe after menopause due to hormonal changes.

Is Too Much Protein Dangerous for Your Kidneys

Yes—excessive protein can be dangerous. Research shows that too much protein stresses the kidneys, especially when derived from animal sources.

Risks include:

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  • Kidney stones
  • Worsening of pre-existing kidney disease
  • Increased urinary calcium loss, which may affect bones

According to the British Dietetic Association, individuals with kidney problems should strictly monitor protein intake.

The Hidden Side Effects of Excessive Protein Intake

Aside from kidney damage, is too much protein dangerous in other ways? Yes, here are some lesser-known risks:

  • Digestive Issues: Bloating, constipation, and nausea
  • Nutrient Imbalance: Excess protein may displace fruits, vegetables, and whole grains
  • Bone Health Risks: High protein diets may increase calcium excretion
  • Weight Gain: Extra protein, especially from processed foods, still adds calories
  • Liver Stress: Overburdening the liver with nitrogen waste from protein metabolism

A Health Trap

Many so-called “healthy” protein products are highly processed. From protein cookies to protein chips, companies market them as guilt-free snacks.

But as nutritionists warn:

“Adding protein powder to junk food doesn’t magically make it healthy.”

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In fact, many of these products contain hidden sugars, sodium, and artificial Flavors, making them closer to junk food than real nutrition.

Expert Warnings- Balanced Nutrition Over Protein Obsession

Experts stress that the answer to “Is too much protein dangerous?” lies in balance.

  • Don’t rely only on protein powders or processed snacks.
  • Prioritize natural sources like eggs, beans, nuts, and fish.
  • Ensure your diet also has fibre, vitamins, and healthy fats.

Dr. Beckett concludes-

“Our bodies are not engines that run on one type of fuel. We need a balance of macronutrients for true health.”

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Is Too Much Protein Dangerous or Just Overhyped

So, is too much protein dangerous? The answer is yes, if consumed in excess or from the wrong sources.

While protein is vital for muscle health, hormones, and immunity, overconsumption can harm the kidneys, bones, and overall nutritional balance.

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Food

Apple a day health benefits backed by science—learn how this simple habit supports heart health, digestion, and disease risk reduction

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An apple a day keeps the doctor away

New Delhi, Sep.01,2025:The proverb “An apple a day keeps the doctor away” dates back to 1866, originally phrased as “Eat an apple on going to bed, and you’ll keep the doctor from earning his bread.” It later evolved into its modern form by the late 19th century.

Heart & Cholesterol Benefits

One of the most celebrated apple a day health benefits is its role in promoting heart health. Apples are rich in pectin, a type of soluble fiber that helps bind cholesterol in the digestive tract, reducing its absorption and lowering LDL (bad) cholesterol.
Dietitians now often rank apples as the top fruit to help lower cholesterol levels.

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Reduced Diabetes & Cancer Risk

Research links regular apple consumption to lowered risks of type 2 diabetes—one review shows up to a 28% reduction compared to non-consumers.
Additionally, apples contain polyphenols and antioxidants that have been associated with decreased risks of lung, colorectal, and other cancers.

Gut Health & Satiety Support

The apple a day health benefits narrative also includes support for digestive wellness. Apples offer fiber and pectin, which act as prebiotics—feeding good gut bacteria, promoting healthy short-chain fatty acid production, and aiding digestion.
Moreover, they help boost satiety: whole apples curb appetite better than juice, helping reduce calorie intake.

Weight Management and Metabolic Support

While eating apples alone isn’t a magic bullet, evidence suggests they support weight management and metabolic well-being. Apple polyphenols and fiber contribute to feeling full longer, potentially helping with weight control and reducing obesity risk.
Studies also point toward benefits in insulin sensitivity and metabolic markers, though more robust trials are warranted.

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Myth vs. Reality—Keeping the Doctor Away?

Does an apple a day truly keep the doctor away? A 2015 study found that while apple-eaters appeared to visit doctors less frequently, this association disappeared after adjusting for social and health-related factors.
More recently, experts reaffirm that an apple alone isn’t a guarantee against medical care—but it aligns with healthier routines.

Expert Advice and Balanced Perspective

Experts emphasize that apple a day health benefits shine when apples are part of a diverse, plant-rich diet. Apples are affordable, easy to store, and nutrient-dense, making them a practical choice for many.
They deliver fiber, polyphenols, and hydration—a compelling nutritional trio.

How Many Apples Are Enough?

Moderation is key. Experts say that eating two apples a day may yield added benefits—such as improved cholesterol, liver health, and better blood sugar regulation—without overloading on sugar or fiber.
A Chinese study even found that eating apples 3–4 times per week was linked with a 39% lower mortality risk compared to consuming them less than once a month.

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The apple a day health benefits are real—especially in terms of heart health, digestion, and chronic disease risk reduction. Nonetheless, the proverb shouldn’t replace a holistic approach to well-being. Instead of seeing an apple as a cure-all, consider it a delicious, nutrient-packed ally in a balanced, healthful diet.

For more in-depth insights on fiber in fruits, check out how apples compare to other high-fiber options here

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Health

Rajasthan Mosquito Menace continues as villagers suffer without relief for Many years- With rising malaria and dengue cases

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The Rajasthan Mosquito Menace

Udaipur, Aug.29,2025:Elderly residents recall a time when government health workers regularly sprayed mosquito-killing powder in their villages. Back then, the mosquito menace was under control

Rajasthan Mosquito Menace and Rural Neglect

The Rajasthan Mosquito Menace has become a nightmare for villagers across the state. Every evening, families shut their doors and windows tightly, hoping to escape the biting swarms. Yet, their efforts remain futile as mosquitoes invade their homes, spreading diseases and disrupting lives.

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What shocks villagers even more is that they haven’t seen a single government-led mosquito control drive in the past 35 to 40 years. For them, neglect has become routine.

When Villages Got Relief

Elderly residents recall a time when government health workers regularly sprayed mosquito-killing powder in their villages. Back then, the mosquito menace was under control, and diseases were rare.

But over the decades, the program disappeared. Villagers say this neglect marked the beginning of a health crisis that continues to grow each year.

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Voices of Villagers, “Governments Came and Went, But None Cared”

Across Rajasthan’s rural belts, a common refrain echoes: “Governments changed, promises were made, but our villages were ignored.”

While cities enjoy regular fogging drives and insecticide sprays, villages remain forgotten. Rural communities feel abandoned, forced to fight the Rajasthan Mosquito Menace on their own.

The Health Crisis, Malaria, Dengue and Other Diseases on the Rise

The unchecked rise of mosquitoes has triggered an alarming spike in mosquito-borne illnesses. Diseases like malaria, dengue, and chikungunya are becoming increasingly common in rural Rajasthan.

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Doctors warn that without urgent intervention; villages could soon face a full-blown health emergency. According to the, mosquito-borne diseases already account for millions of deaths worldwide each year.

Why the Rajasthan Mosquito Menace is a Bigger Problem Today

Experts believe that rising temperatures, stagnant water sources, and lack of sanitation have worsened the Rajasthan Mosquito Menace. Climate change has also expanded mosquito breeding seasons, making the problem even more severe than in previous decades.

Cities vs Villages

One of the biggest complaints from villagers is the discrimination in public health services. Cities like Jaipur, Udaipur, and Jodhpur receive regular fogging and awareness drives. But villages, where millions of people live, are completely overlooked.

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“Are we not taxpayers too? Why are our lives less valuable?” asked a frustrated villager.

What Health Officials Say

Public health experts argue that the Rajasthan Mosquito Menace cannot be solved without a coordinated effort. Fogging alone isn’t enough—villages need awareness campaigns, proper sanitation, and access to healthcare.

A senior health official recently admitted that rural areas do face higher risks but cited “budget and resource limitations” as reasons for the lack of attention.

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What Villagers Want from the Government

Villagers are not demanding luxuries—they simply want equality in healthcare. Their key demands include:

  • Regular fogging and spraying in rural areas.
  • Mobile health teams to monitor mosquito-borne diseases.
  • Strengthening rural health centers with testing kits and medicines.
  • Awareness campaigns on how to prevent mosquito breeding.

Solutions for Long-Term Mosquito Control

Experts suggest a multi-pronged approach to fight the Rajasthan Mosquito Menace:

  • Community participation: Villagers should be encouraged to eliminate stagnant water.
  • Government intervention: Launch state-wide mosquito eradication programs.
  • Modern technology: Use eco-friendly sprays and biological control methods.
  • Healthcare strengthening: Equip rural clinics with diagnostics for dengue and malaria.

A similar model has already shown results in states like Kerala, where community-driven mosquito control programs reduced disease outbreaks significantly.

Will Rural Rajasthan Ever Get Relief?

The Rajasthan Mosquito Menace is not just about insects; it reflects decades of neglect towards rural communities. While cities are safeguarded with preventive measures, villages are left at the mercy of diseases.

Unless the government takes immediate action, this neglect could lead to a massive rural health crisis. Villagers are united in their demand: “Give us the same protection as cities. We deserve relief too.”

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The question remains—will policymakers finally listen? Or will another generation of villagers grow up battling the same menace their parents and grandparents endured?

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Events

healthcare-accountability Jaipur panel insights

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Healthcare Accountability

Jaipur,Aug.26,2025:Justice J.K. Ranka and Justice Atul Kumar Jain lent their judicial gravitas and legal insight, illuminating the rights of patients and the accountability mechanisms within healthcare systems

Healthcare Accountability Jaipur Panel Unveiled

Healthcare Accountability Jaipur Panel sparked an invigorating dialogue on August 23, 2025, at Narayana Mult speciality Hospital, Jaipur. Organized jointly by Narayana Hospital and the proactive non-profit entity, Cent Wave (सेंटवेव संस्था), this panel was designed to elevate awareness of medical accountability, patient rights, and ethical practices.

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Within the ornate halls of Jaipur, this event catalyzed crucial conversations. With the Healthcare Accountability Jaipur Panel at its core, the program served as a beacon—aligning medical, legal, and educational perspectives toward fortified healthcare standards.

Session Highlights & Esteemed Panel

The Healthcare Accountability Jaipur Panel was structured across two engaging sessions—focusing on legal and clinical/scientific domains.

Legal & Judicial Insights

Justice J.K. Ranka and Justice Atul Kumar Jain lent their judicial gravitas and legal insight, illuminating the rights of patients and the accountability mechanisms within healthcare systems. Their perspectives underscored the foundation of patient protection and institutional responsibility.

Clinical & Forensic Clarity

Dr. Balvinder Singh Walia, Facility Director at Narayana Hospital, alongside Clinical Director, Department Heads, and Senior Consultant Dr. Pradeep Kumar Goyal, presented real-time clinical insights. Forensic DNA expert Prof. G.K. Mathur, former Additional Director at RFSL, contributed forensic context—highlighting technical accuracy and scientific integrity.

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Cardiological & Administrative Perspectives

From the domain of heart care, Dr. Rakesh Chittora (Director & Head, Cardiology Unit), and Dr. Vijay Kapoor (President, Private Hospitals & Nursing Association) shared powerful perspectives on administrative leadership and cardiological specifics—the heartbeat of patient care logistics.

Academic & Organizational Insights

Dr. Sanjula Thanvi, Associate Professor & Dean, Faculty of Law, University of Rajasthan, offered academic and legal frameworks. Meanwhile, Cent Wave Director Shivali Gupta and Prof. (Dr.) Aradhana Parmar enriched the conversation with organizational and non-profit viewpoints.

Key Themes Emerged

The Healthcare Accountability Jaipur Panel session wove together common threads of urgency, trust, and safety—highlighting critical focus areas for modern healthcare.

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Transparent Communication in Emergencies

A unanimous takeaway: in emergencies, clear and continuous patient–doctor communication is non-negotiable. Transparent dialogue not only builds mutual trust, but significantly decreases conflict and enhances outcomes.

Trust and Fear-Free Physician Environments

Experts affirmed: doctors are invaluable assets to society. Ensuring their safety—and fostering fear-free environments—is a societal responsibility. Only then can they deliver care with unwavering dedication and confidence.

Accountability, Rights & Systemic Resilience

The panel emphasized that robust systems rest on trust and accountability. Reinforcing patient rights, respecting medical autonomy, and fostering cross-disciplinary collaboration strengthens overall system resilience.

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Strategic Outcomes & Calls to Action

The Healthcare Accountability Jaipur Panel culminated in a unified call to—

  • Strengthen patient-care frameworks
  • Enhance citizen–doctor trust
  • Foster dynamic engagement among medical, legal, and academic stakeholders

Moderator Advocate Gaurav Rathore led the proceedings eloquently in his mother tongue, a fitting close that resonated deeply with all attendees. The event was declared fruitful, inspirational, and imminently applicable across healthcare spheres.

To deepen context:

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  • The Rajasthan Right to Health Care Act 2022, enacted on March 21, 2023 (effective April 12, 2023), guarantees free outpatient (OPD) and inpatient (IPD) services in public healthcare and some private facilities—honoring 20 foundational patient rights.
  • Narayana Mult speciality Hospital, Jaipur, accredited by JCI and NABH, is a tertiary care centre offering over 37 specialties—renowned for pioneering cardiac, neurological, renal, transplant, and neuro-surgical care in Rajasthan.

These legal and institutional landscapes frame the significance of accountability and informed patient–doctor standing.

Lasting Impact of the Panel

Healthcare Accountability Jaipur Panel was more than a symposium—it was a launchpad for change. Uniting judicial voices, clinical experts, academics, and civic leaders, the thoughtful discussion concluded with a visionary mandate: build stronger care systems, cement trust, and enable collaborative innovation.

The channel of transparent communication and mutual support remains open—thanks to this powerful event. The legacy of the panel endures as a model for restorative, accountable, and ethically grounded healthcare.

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Delhi/NCR

Chidambaram Pahalgam controversy Erupts in Political Firestorm

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Chidambaram Getty Image

New Delhi, July28,2025: He questioned why the government was certain the attackers were Pakistani nationals when “there’s no evidence” to that effect

Chidambaram Pahalgam controversy emerges

On 27 July 2025, in an interview with The Quint, P. Chidambaram raised critical questions about the April 22 Pahalgam terror attack that killed 26 tourists in Jammu and Kashmir, triggering what is now known as the Chidambaram Pahalgam controversy

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Allegations by Chidambaram

  • He questioned why the government was certain the attackers were Pakistani nationals when “there’s no evidence” to that effect, and suggested “homegrown terrorists could be involved.
  • Chidambaram accused the government of hiding tactical mistakes made during Operation Sindoor and refusing to disclose details of NIA’s investigation into the identities and origin of the terrorists.
  • He urged acknowledgment of casualties on India’s side during Operation Sindoor, comparing it to wartime transparency seen in WWII under Winston Churchill.

Government Response and BJP’s Sharp Rebuttal

  • The BJP strongly condemned Chidambaram’s remarks, with IT Cell chief Amit Malviya accusing the Congress of giving a “clean chit to Pakistan” and undermining national security.
  • BJP spokespersons described the statements as congressional attempts to question our forces and stand with Pakistan rather than India.

Chidambaram’s Defense and Troll Allegations

  • Chidambaram retaliated, calling out “trolls” who had taken selective quotes from his interview. He called them the “worst kind of troll” for suppressing the full context to defame him.
  • He urged people to view the full The Quint interview to understand his statements in context and said the opposition alliance (INDIA bloc) would raise these critical questions in Parliament debates.

Parliamentary Fallout: Operation Sindoor Debate

  • A 16-hour long Rajya Sabha debate is scheduled next Tuesday on the Pahalgam attack and Operation Sindoor, created amid pressure from the opposition to thoroughly examine the government’s actions
  • Chidambaram and other Congress MPs, including Imran Masood and Manickam Tagore, warned that the government is avoiding substantive questioning by stalling or diverting attention.

Wider Political Implications

  • This Chidambaram Pahalgam controversy has become a flashpoint in Parliament, with the BJP aiming to use it to portray the opposition as weak on terrorism while the Congress pushes for greater transparency.
  • The issue also revives old debates over the role of U.S. diplomacy—particularly former President Donald Trump’s claim of brokering the ceasefire—and whether India’s decisions are influenced externally. Chidambaram called for full disclosure of that involvement.

International & Security Analysis

  • The Pahalgam terror attack, committed by TRF (proxy of Lashkar-e-Taiba), killed 26 civilians and triggered aggressive Indian retaliation via Operation Sindoor. India maintains the attackers were Pakistani nationals, while dropping of bombs across border escalated tensions with Pakistan.
  • Chidambaram’s assertions challenge the security establishment narrative and demand clarity on how terrorists crossed the border without detection, if they were indeed foreign nationals.

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