Body Fat Levels May Indicate Mortality Risk in Young Adults – Sciworthy

Researchers have established a connection between being overweight or obese and various illnesses and health issues. Heart disease, some types of cancer, and additional conditions such as mental health disorders, including depression, anxiety, and substance abuse. Beyond specific diseases, obesity is also associated with an increased risk of premature death.

Health organizations in the US and around the world utilize the Body Mass Index, or BMI, to assess whether individuals are overweight or obese. For instance, the Centers for Disease Control and Prevention and the World Health Organization both classify overweight as having a BMI over 25 and obesity as a BMI exceeding 30. In simple terms, a person who is 1.8 meters tall (approximately 5’11”) and weighs 90.7 kilograms (about 200 lbs) has a BMI of 28.

While doctors recognize that BMI can serve as a valuable metric in healthcare, some point out its limitations. Athletes with considerable muscle mass may be classified as overweight due to their muscle’s greater weight compared to fat. Additionally, body fat percentages can vary based on ethnicity and gender, suggesting that the standard BMI approach may not accurately reflect every individual’s health.

Recently, researchers from the University of Florida explored whether alternative body composition measurements provide a better prediction of mortality risk in young adults compared to BMI. They analyzed data from the National Health Nutrition Test Survey (NHANES), which was conducted in the US between 1999 and 2004 and connects to an index that indicates if participants had passed away by 2020. The study included data from 4,252 adults aged 20 to 49.

The researchers assessed whether high BMI, elevated body fat percentage, or increased waist circumference were more effective predictors of mortality within 15 years. They defined higher-risk body composition as (1) a BMI over 25, categorizing this as overweight or obese. Causes of mortality they investigated included deaths from any cause, referred to as all causes, heart disease, and cancer.

Findings revealed that body fat percentage is a stronger predictor of mortality in young adults than BMI. Specifically, there was no statistically significant link between overweight or obese BMI and cancer-related or all-cause mortality. In contrast, both high body fat percentage and large waist circumference were significantly related to deaths from all causes and heart disease. However, none of the three body composition measurements were found to be statistically related to cancer mortality.

Researchers acknowledged certain limitations in their study. First, the body fat percentage thresholds they applied were derived from another research and are not universally accepted metrics like BMI. Second, as they focused solely on mortality risk in young adults, BMI could still be a strong mortality predictor in older adults. Lastly, while they observed mortality rates, various diseases and health issues, such as cardiovascular disease, are still linked to higher BMI.

Nevertheless, the research team concluded that BMI may not provide a comprehensive view of body composition, suggesting that other measures, such as body fat percentage, could be more beneficial in healthcare settings. They proposed that future studies should investigate these findings in older populations and explore additional health outcomes, including cardiovascular disease.

Post view: 34

Source: sciworthy.com

Nightmares Linked to Accelerated Biological Aging and Increased Mortality Risk

Strategies to Prevent Nightmares, Such as Avoiding Scary Movies

Andrii Lysenko/Getty Images

Experiencing nightmares weekly may accelerate aging and significantly increase the chances of early death.

“Individuals with more frequent nightmares experience faster aging and a higher risk of premature death,” states Abidemi Otaiku from Imperial College London.

In collaboration with his team, Otaiku examined data from over 183,000 adults aged between 26 to 86 who participated in several studies, initially self-reporting their nightmare frequency over a span of 1.5 to 19 years.

The findings revealed that individuals reporting weekly nightmares are over three times more likely to die before reaching 70 compared to those who do not experience nightmares.

Moreover, the researchers noted that the frequency of nightmares is a more potent predictor of preterm birth than factors such as smoking, obesity, poor diet, or inadequate physical activity. Otaiku presented these findings at the European Neurological Society Conference 2025 held in Helsinki, Finland, on June 23rd.

The team additionally assessed participants’ biological ages by measuring telomere lengths, small DNA sequences at the ends of chromosomes that shorten with each cell division; short telomeres linked to premature aging. This segment of the study also included approximately 2,400 children aged 8 to 10, while adults contributed further biological age data using epigenetic clocks.

According to Otaiku, their research established a consistent connection between frequent nightmares and accelerated aging across various ages, genders, and ethnic backgrounds. “Even in childhood, those with frequent nightmares exhibit shorter telomeres, indicating faster cellular aging,” he remarked. In adults, this accelerated biological aging accounts for roughly 40% of their heightened risk of death.

Regarding the reasoning behind this association, Otaiku suggests two main factors. The first is the elevated levels of the stress hormone cortisol triggered by nightmares. These levels are linked to faster cellular aging. “Nightmares elicit a more intense stress response than what is typically experienced upon waking, often rousing us with pounding hearts,” he explained.

The second factor involves sleep disruption, which hinders the body’s overnight cellular repair processes. Poor sleep quality is associated with an increased risk of various health issues, including heart disease.

For those wishing to reduce their occurrence of nightmares, Otaiku suggests straightforward strategies, such as avoiding scary movies and addressing mental health issues like anxiety.

“This is a fascinating finding with a number of biological underpinnings,” said Guy Restiner from the NHS Foundation Trust at Guy and St. Thomas. However, he emphasized that further research is necessary to identify causal relationships, noting that nightmares can be associated with various medical conditions and medications that may impact the findings as individuals age.

Topics:

Source: www.newscientist.com

Study Finds Men More Prone to “Hard Heart Syndrome” Mortality

Following traumatic experiences, such as a divorce or the loss of a loved one, individuals may encounter symptoms like chest pain and shortness of breath.

This phenomenon, clinically termed takotsubo cardiomyopathy, is believed to arise from emotional or physical stress that triggers a surge of hormones, including adrenaline, which hampers the heart’s ability to contract effectively. While most individuals recover swiftly, a minority may face heart failure.

Wounded heart syndrome predominantly affects women; however, men have a mortality rate that is more than double that of women. A study published recently in the Journal of the American Heart Association highlights this disparity.

The research examined data from around 200,000 adults in the U.S. who were hospitalized for this condition between 2016 and 2020. It found that nearly 11% of men in this group died, compared to about 5% of women. This was supported by previous studies indicating a higher mortality rate among men.

“It’s consistently noted that men generally do not experience takotsubo syndrome as frequently, but when they do, the outcomes tend to be worse,” explained Dr. Harmony Reynolds, director of NYU Langone Health’s Center for Women’s Cardiovascular Research, who was not part of the study.

The differences between men and women could be tied to the triggers of their conditions, according to the cardiologist. In men, the syndrome is often instigated by physical stressors like surgery or stroke, whereas in women, the triggers tend to be emotional, such as job loss or the death of a loved one.

“Individuals facing emotional stressors tend to fare better,” noted Dr. Iran Wittstein, a cardiologist at Johns Hopkins Medicine who was not involved in the study.

“Men appear to have a higher risk of severe outcomes or mortality, suggesting that a more dangerous trigger is necessary for syndrome onset.”

Dr. Mohammad Movahed, the principal investigator of the study, added that men may also struggle more with recovery from takotsubo cardiomyopathy. Research indicates lower social support for men to help them cope with stress.

“If the stressor is transient and then removed, there could still be damage to the heart or diminished recovery chances,” Movahed, a cardiologist at the University of Arizona Sarver Heart Center, explained.

However, scientists continue to explore the underlying mechanisms of the syndrome and why fatalities occur in rare instances.

“Researchers are still pursuing to uncover the definitive causes of this condition,” Wittstein remarked.

Is stress the only trigger?

To diagnose takotsubo cardiomyopathy, physicians look for certain hallmark signs. Typically, in affected patients, parts of the heart muscle balloon out, but there are usually no blocked arteries, which would indicate a heart attack. Most patients can also identify stressors that led to their episodes.

“During these moments, we feel the weight on our hearts,” stated Dr. Matthew Tomey, a cardiologist at Mount Sinai St. Luke’s Hospital in New York City. “It’s as if heartache manifests physically.”

However, Wittstein cautioned that stress alone may not suffice to trigger takotsubo syndrome.

“Some individuals might have minor work-related frustrations, engage in a slightly intense jog, or experience irritation at a red light,” he described.

Reynolds shared that one of her patients had four instances of the syndrome, each stemming from a mild stomach bug that caused vomiting.

“She is quite averse to vomiting, which likely contributed to her incidents,” she noted.

Wittstein now posits that certain individuals may harbor an inherent sensitivity to takotsubo syndrome. His findings suggest that stress hormones narrow small blood vessels around the heart, limiting blood flow and making some individuals, especially those with high blood pressure or cholesterol, more vulnerable.

Research indicates that postmenopausal women are at an elevated risk of developing this syndrome, potentially due to decreased estrogen levels, which facilitate the dilation of small blood vessels around the heart.

However, Reynolds emphasized that further research is needed to fully understand these mechanisms.

“There’s a suggestion that sex hormones may play a role, but establishing that link is still an ongoing challenge,” she said.

It’s complex to manage and prevent

The intricate nature of takotsubo cardiomyopathy can complicate its prevention and treatment.

Doctors often seek ways to alleviate stress, sometimes prescribing medications intended for other heart conditions, such as beta blockers, or recommending meditation and mental health support.

“To date, we have not identified any preventive drugs that effectively reduce complications, mortality rates, or specific therapies,” Movahed stated.

The new study found that mortality rates associated with takotsubo syndrome remained relatively stable from 2016 to 2020.

However, Wittstein noted that the study relies on diagnostic codes assigned to hospitalized patients, which might overlook broader circumstances influencing a patient’s death, particularly regarding strokes or other neurological issues.

“I suspect many individuals recover from takotsubo syndrome but subsequently succumb to other complications,” he remarked.

The cardiologist advises patients to seek immediate medical attention if they experience chest pain or shortness of breath, rather than attributing it solely to stress.

“Only through a comprehensive evaluation at the hospital can we differentiate between this condition and a traditional heart attack,” Reynolds cautioned. “Thus, it’s critical not to ignore chest pain.”

Source: www.nbcnews.com

Massive bat die-off triggers surge in pesticide use in the US, contributing to rise in infant mortality rates

Small brown bat (Myotis lucifugus) suffers from white-nose syndrome, which has devastated bat populations across the United States.

piemags/FWL / Alamy Stock Photo

A study has revealed that a decline in bat populations in the United States, caused by the spread of a fungal disease, has resulted in reduced farm incomes and an additional 1,300 deaths of infants under the age of one.

The research found that in counties affected by bat disease, farmers had to increase their use of insecticides by 31% to make up for the decreased insect predation by bats. Eyal Frank, a researcher at the University of Chicago in Illinois, estimated that farmers in these affected counties lost $27 billion between 2006 and 2017 due to reduced crop sales and higher pesticide costs.

Furthermore, the study observed an 8% increase in the number of infant deaths before the age of one in affected counties, which Frank links to the elevated pesticide usage. He expressed concerns about the inherent toxicity of pesticides, even when used within regulated levels, suggesting potential health hazards.

The white-nose syndrome, discovered in hibernating bats in a New York state cave in 2006, has since spread across North America, resulting in millions of bat deaths. This disease has raised questions about the benefits that bats provide to farmers.

By analyzing agricultural census data, Frank compared counties where white-nose disease was detected by 2017 with those where it hadn’t been identified yet. The results indicated a consistent increase in insecticide usage in affected areas each year post-detection of the disease.

In light of the study findings, the potential link between bat deaths, pesticide use, and higher infant mortality rates was examined. While the results point towards a correlation, the exact mechanism through which increased pesticide use might lead to elevated infant mortality remains unclear.

Experts like Roel Vermeulen from Utrecht University in the Netherlands emphasize the need to broaden human health impact assessments to consider the indirect effects of environmental factors like bat population decline. Moving forward, efforts are required to preserve the vital role wildlife species play in maintaining human health and well-being.

topic:

Source: www.newscientist.com

AI Predicting Mortality Risk Saves Lives in Hospital Trial

Electrocardiogram tests used to train AI to predict risk of fatal heart disease

Gerain0812/Shutterstock

Artificial intelligence systems have proven they can save lives by alerting doctors to test patients whose heart test results show they are at high risk of death. In a randomized clinical trial of approximately 16,000 patients across two hospitals, AI reduced overall deaths in high-risk patients by 31%.

“This is actually quite unusual,” he says Eric Topol Researchers at the Scripps Research Institute Translational Institute in California were not involved in the study. “Any drug, [produce] Mortality is down 31%, and it's even rarer for non-drugs, but that's just monitoring people with AI. ”

Chin Lin Researchers at Taiwan's National Defense Medical Center first trained the AI ​​on more than 450,000 electrocardiogram (ECG) tests that measure the electrical activity of the heart, as well as survival data from ECG subjects. The AI ​​learned to generate a percentile score representing each patient's risk of death, and considered patients at at least the 95th percentile to be at high risk.

The researchers then tested the AI ​​alert system with 39 doctors from two different hospitals. When a nurse uploads a new patient's EKG test to a computer server, an AI system analyzes the results and immediately alerts doctors if the patient is deemed to be at high risk.

In addition to reducing the risk of death from all causes, the AI ​​system reduced deaths in high-risk patients from heart disease by more than 90%.

Lin and his colleagues speculate that AI predictions could help focus attention on groups most at risk. Doctors usually respond to alerts with more diagnostic tests or additional treatments.

The AI ​​alert system is already in use at 14 military hospitals in Taiwan.

“This can be implemented in every hospital in the world, and it shouldn't be expensive,” says Topol. “If it's so effective, it should become the standard of care.”

topic:

Source: www.newscientist.com

Intermittent Fasting Linked to Higher Risk of Cardiovascular Mortality

A recent extensive study involving 20,000 adults discovered that time-restricted eating, a form of intermittent fasting, can significantly increase the risk of death, casting doubt on the efficacy of healthy eating.

The study, published by the American Heart Association, revealed that restricting eating to less than eight hours a day raised the risk of cardiovascular death by an alarming 91%. Over a span of up to 17 years, the study found no decrease in the risk of any specific cause of death by restricting meals to eight hours or less.

Lead author Professor Victor Wenze Zhong expressed surprise at the study’s results, stating, “We had anticipated that adopting an 8-hour time-restricted diet long-term would lead to reduced cardiovascular disease risk and overall mortality.” He added, “Although this diet has been popular for its short-term benefits, our study revealed that compared to the typical 12 to 16-hour eating window, shorter meal times showed no association with living longer.”


Although the reasons behind the increased risk of cardiovascular death from time-restricted eating are not fully understood, it is suggested that muscle mass loss due to dietary restriction may be a contributing factor.

In recent years, time-restricted eating has gained popularity for its potential health benefits, such as aiding weight loss and improving blood sugar and cholesterol levels. Many people follow a 16:8 schedule, consuming all meals within an 8-hour window and fasting for 16 hours.

However, despite short-term benefits, recent findings suggest potential long-term negative effects of time-restricted eating, especially an 8-hour window, on cardiovascular health.

Experts caution that further research is needed to fully understand the impact of time-restricted eating and its implications for long-term health. Specific recommendations regarding time-restricted eating should be made with caution based on current evidence.

About our experts:

Dr. Victor Wenze Zhong is a professor and chair at the School of Medicine, Shanghai Jiao Tong University, specializing in Epidemiology and Biostatistics. He is actively involved in nutritional epidemiology research and serves on various councils related to heart health.

Dr. Christopher Gardner is a professor at Stanford University focusing on the health benefits of different dietary components and patterns. With extensive research in cardiovascular health and nutrition, he provides valuable insights into the impact of diet on overall well-being.

Source: www.sciencefocus.com

Salmon farms are experiencing a growing problem of mass mortality

Salmon die from algae bloom at Norwegian farm

Berit Roald/EPA-EFE/Shutterstock

Since 2012, mass die-offs of farmed salmon have become more frequent and increasing in number, with some locations wiping out millions of fish at a time. These mass mortality events are often caused by stress factors such as fluctuations in ocean temperatures and poor living conditions, highlighting the need to improve animal welfare practices on salmon farms.

Approximately 70% of the salmon sold worldwide is farmed. There is a high mortality rate of fish before they are ready for slaughter, and there are serious concerns about the environmental impact of salmon farming and the welfare of farmed fish.

Six countries produce 92% of the world's farmed salmon: Norway, Canada, the United Kingdom, Chile, Australia, and New Zealand. Gerald Singh Researchers from the University of Victoria in Canada analyzed mortality data from these countries.

The researchers found that high-fatality events increased over time, particularly in Norway, Canada, and the United Kingdom, from 2012 to 2022. A total of 865 million salmon died during this period.

“We are talking about very large numbers,” Singh says. “In the case of Norway, the worst ranged from about 935,000 fish lost in a month to just under 5 million. In Canada, the worst 10 per cent disaster ranged from about 935,000 fish lost in a month to just under 5 million. Between 10,000 and 3.8 million fish were lost.”

If this trend continues, researchers predict that future fatal crashes could cause up to 5.14 million deaths in Norway, 5.05 million people in Canada and just over 1 million people in the UK.

Environmental stressors such as marine heatwaves and lack of oxygen in the water, as well as sea lice infestations, can trigger these mass die-offs. To reduce the impact of these stressors on salmon, Singh says better animal welfare practices need to be implemented, such as not overcrowding fish pens.

“These events can have significant impacts on local economies, communities and ecosystems,” he says. “For example, if communities that rely on these industries are stripped of their farming permits, this can have a significant impact on local economies and livelihoods.”

topic:

Source: www.newscientist.com

AI trained on extensive life stories has the ability to forecast the likelihood of early mortality

Data covering Denmark’s entire population was used to train an AI that predicts people’s life outcomes

Francis Joseph Dean/Dean Photography/Alamy Stock Photo

Artificial intelligence trained on personal data covering Denmark’s entire population can predict people’s likelihood of dying more accurately than existing models used in the insurance industry. Researchers behind the technology say it has the potential to have a positive impact on early prediction of social and health problems, but must be kept out of the hands of large corporations. There is.

Sune Lehmann Jorgensen The researchers used a rich Danish dataset covering the education, doctor and hospital visits, resulting diagnoses, income, and occupation of 6 million people from 2008 to 2020.

They converted this dataset into words that can be used to train large-scale language models, the same technology that powers AI apps like ChatGPT. These models work by looking at a set of words and statistically determining which word is most likely to come next based on a large number of examples. In a similar way, the researcher’s Life2vec model can look at the sequence of life events that form an individual’s history and determine what is most likely to happen next.

In the experiment, Life2vec was trained on all data except for the last four years of data, which was kept for testing. Researchers took data on a group of people aged 35 to 65, half of whom died between 2016 and 2020, and asked Life2vec to predict who lived and who died. This was 11% more accurate than existing AI models and life actuarial tables used in the financial industry to price life insurance policies.

The model was also able to predict personality test results for a portion of the population more accurately than AI models trained specifically to do the job.

Jorgensen believes the model has consumed enough data that it has a good chance of shedding light on a wide range of topics in health and society. This means it can be used to predict and detect health problems early, or by governments to reduce inequalities. But he stresses that it can also be used by companies in harmful ways.

“Obviously, our model should not be used by insurance companies, because the whole idea of ​​insurance is that if some unlucky person suffers some kind of incident, dies, loses their backpack, etc. ‘Because we share the lack of knowledge about what to do, we can share this burden to some extent,’ says Jorgensen.

But such technology already exists, he says. “Big tech companies that have large amounts of data about us are likely already using this information against us, and they are using it to make predictions about us. It is.”

Matthew Edwards Researchers from UK professional institutes the Institute of Actuaries and the Faculty of Actuaries say that while insurers are certainly interested in new forecasting techniques, the bulk of decision-making is based on a type of model called a generalized linear model. The research is done using AI, which he says is rudimentary compared to this research. .

“If you look at what insurance companies have been doing for years, decades, centuries, they’ve taken the data they have and tried to predict life expectancy from that,” Edwards said. “But we are deliberately conservative in adopting new methodologies, because when we are creating policies that are likely to be in place for the next 20 or 30 years, the last thing we want is to make any significant mistakes. . Everything can change, but slowly because no one wants to make mistakes.”

topic:

Source: www.newscientist.com