Craddick sends Dementia Prevention and Research Institute of Texas (DPRIT) legislation to Abbott's desk
"I am proud to author House Bill 5 to establish DPRIT and send it to Governor Abbott's desk to be signed," Craddick said in a news release. "Thanks to Lt. Gov. Dan Patrick's leadership and vision, this transformative institute will place Texas at the forefront of dementia and Parkinson's research and care."
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
New York Post
4 days ago
- New York Post
Hidden sleep danger could increase risk of 172 diseases, major study reveals
Experts agree that seven to nine hours of sleep is ideal for most adults — but when it comes to your health, the total number of hours might not be the most important factor. In a major new study led by teams from Peking University and Army Medical University, sleep irregularity has been linked to an increased risk of 172 different diseases. The researchers analyzed nearly seven years of UK Biobank sleep data from 88,461 adults averaging 62 years of age, focusing on multiple traits that included nocturnal sleep duration, sleep onset timing, sleep rhythm and sleep fragmentation, according to a press release. They then compared that data to disease outcomes from the National Health Service, the Cancer Registry and the National Death Index. They found that for 92 diseases — Parkinson's disease and acute kidney failure — 20% of the risk was tied to poor sleep behavior. 5 In a major new study, sleep irregularity has been linked to an increased risk of 172 different diseases. Rene La/ – Forty-two diseases were linked to at least double the risk. Those included age-related frailty, gangrene, and fibrosis and cirrhosis of the liver. Poor sleep traits were linked to 1.5 times the risk of 122 diseases, including type 2 diabetes mellitus, respiratory failure, certain bone fractures and urinary incontinence. Inflammatory pathways were identified as one possible link between irregular sleep and disease. 'Some common diseases showed considerable attributable risk, such as Parkinson's disease, pulmonary heart disease, type 2 diabetes mellitus, obesity, thyrotoxicosis (hyperthyroidism) and urinary incontinence,' the researchers wrote. The results were published in the journal Health Data Science. 5 They found that for 92 diseases — Parkinson's disease and acute kidney failure — 20% of the risk was tied to poor sleep behavior. New Africa – 'Our findings underscore the overlooked importance of sleep regularity,' said Prof. Shengfeng Wang, senior author of the study, in the release. 'It's time we broaden our definition of good sleep beyond just duration.' Ashley Curtis, PhD, assistant professor and director of the Cognition, Aging, Sleep, and Health (CASH) Lab in the College of Nursing at the University of South Florida, was not involved in the research but shared her reaction to the findings. 'This study contributes to the growing evidence supporting the critical role sleep plays as a key modifiable risk factor across a range of medical disorders, particularly in mid- to late-life,' she told Fox News Digital. 'However, this study also emphasizes that how we measure sleep matters in terms of what conclusions we make regarding its impact on health across the lifespan.' 5 Poor sleep traits were linked to 1.5 times the risk of 122 diseases. Andrii Lysenko – Curtis highlighted the difference between self-reported sleep patterns versus objective measurements captured by wearable devices. 'Better understanding these patterns is important, because it can impact recommendations regarding what aspects of sleep we should be monitoring more closely in terms of assessing the risk of future declines in health,' she said. 'Additionally, these findings provide insight into the specific physiological sleep-related mechanisms that may be driving comorbid disease trajectories.' Potential limitations 5 Inflammatory pathways were identified as one possible link between irregular sleep and disease. Sergey – The researchers noted several major limitations in this research. The most prevalent is that the study is not representative of the nationwide population, as the participants were mainly middle-aged or elderly and therefore more susceptible to certain diseases. The sleep data was also captured at only one single point in time. There is also a chance that external factors or 'reverse causation bias' affected the results, they stated. Curtis echoed these limitations, noting that sleep was only measured across one seven-day time period and did not consider variability in sleep patterns over time. 5 Curtis highlighted the difference between self-reported sleep patterns versus objective measurements captured by wearable devices. Serhii – 'Further, there was a lack of consideration of sleep disorders, such as insomnia or sleep apnea,' she told Fox News Digital. 'Given that both of these sleep disorders are highly prevalent in aging populations, there is a need for future studies that include a more comprehensive clinical assessment in order to fully elucidate the link between sleep disorder profiles and the risk of other medical comorbidities.' The research team plans to conduct future studies to confirm causality and to measure how sleep interventions may impact chronic disease outcomes. The study was supported by the National Key R&D Program of China, the National Natural Science Foundation of China and the Beijing Municipal Health Development Research Fund.
Yahoo
4 days ago
- Yahoo
Massive Study Links 6 Sleep Traits to Risk of 172 Diseases
The way we sleep can reveal a great deal about our overall health. But while many of us focus on the hours of shut-eye we get, new research suggests we should pay more attention to the timing and consistency of our bedtime. Researchers have now found that those with the poorest sleep rhythms may face a 2.8-times-higher risk of Parkinson's disease, and a 1.6-times-higher risk of developing type 2 diabetes, compared to those with consistent patterns of wakefulness and sleep. The findings come from the sleep data of more than 88,000 people in the UK Biobank, and while the results can only reveal correlations, they could point future clinical research in new directions. Altogether, scientists at Peking University and the Army Medical University in China considered the health effects of six sleep traits: length, onset, rhythm, extent and efficiency of sleep, and frequency of wake-ups during the night. Related: During the average 6.8-year follow-up, 172 diseases were associated with these sleep characteristics, with many tied to just one trait. To make the findings more robust, the associations were successfully replicated using another large database: the United States National Health and Nutrition Examination Survey (NHANES). Across both analyses, sleep duration (as measured by wearable sensors) showed a relatively weak association with disease risk, despite the fact that in surveys, many participants expressed greater concern over how much they slept, rather than how they slept. Sleep rhythm, meanwhile, showed three times as many disease links as those associated with sleep duration and onset. In fact, it was associated with nearly half of the study's 172 diseases. The term 'sleep rhythm' essentially refers to cycles of wakefulness and sleep, from when a person goes to bed, to when they wake each and every day. A more robust and regular sleep rhythm seems to be tied to healthier outcomes. Senior author and epidemiologist Shengfeng Wang from Peking University argues it is "time we broaden our definition of good sleep beyond just duration." "The existing literature has disproportionately focused on sleep duration rather than other sleep traits," write the study authors, led by Yimeng Wang from China's Army Medical University. In the current study, the most erratic sleep rhythms, as opposed to the most consistent ones, were linked to type 2 diabetes, primary hypertension, chronic obstructive pulmonary disease, acute kidney failure, and depression – to name just a few. One of the strongest associations was with Parkinson's disease, which previous studies have also linked to sleep disorders. Sleep onset and sleep quality were also associated with several diseases. Those who went to bed after 12.30 am, for instance, were 2.6 times more likely to develop liver cirrhosis compared to those who went to bed before 11.30 pm. In addition, the least efficient sleepers showed a nearly 1.8-fold increase in respiratory failure compared to those who slept the most efficiently. The data is based on wearable sleep monitors as well as subjective reports, and that seems to be an important combination. Nearly a quarter of self-reported 'long sleepers' actually slept fewer than 6 hours a night. The findings indicate that purely relying on surveys, as previous sleep studies have done, may not be reliable. "For example, some participants with difficulty falling asleep or keeping stable sleep may have spent a long time in bed but have short real sleep," the researchers explain. "As evidenced by our analyses, this dramatic misclassification of sleep duration has introduced substantial bias to the estimation of effect size for a number of diseases, including stroke, ischemic heart diseases, cardiovascular disease, and depressive episode and recurrent depressive disorder." "Our findings underscore the overlooked importance of sleep regularity," concludes Wang. The study was published in Health Data Science. Related News Common Viruses May Wake Dormant Breast Cancer Cells, Study Finds Study Reveals The Shocking Amount of Plastic We Breathe in Every Day Researchers Identified New Blood Group After 50 Year Mystery Solve the daily Crossword
Business Insider
4 days ago
- Business Insider
IBM and Cleveland Clinic Build an AI Model that Predicts Brain Disorders
The way people walk, their gait, can reveal early signs of serious neurological conditions such as Parkinson's disease, cerebral palsy, dementia, and cognitive decline. Subtle differences in stride, balance, and timing often give clues about these conditions, but traditional gait assessments rely heavily on visual observation by doctors. This approach can be subjective, time‑consuming, and limited to controlled environments. However, a new collaboration between tech giant IBM (IBM) and Cleveland Clinic hopes to change this by creating an AI system that can work with many types of neurological conditions and sensor setups, including everyday devices like smartphone cameras and wearables. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. At the center of this work is an AI foundation model called GaitFM, trained on a mix of real and synthetic data. Most of the training data comes from physics‑based simulations of walking that mimic the effects of age, disease, and different types of sensors. This synthetic data helps solve a major problem in gait research: there is very little gait data available online. By first training on synthetic data and then fine‑tuning with smaller clinical datasets, GaitFM can recognize the gait patterns of different diseases. Early tests show that GaitFM can estimate key movement features, classify conditions, and even predict disease progression. In studies, models trained on synthetic data alone were able to perform competitively, and combining synthetic with real data provided the best results. The technology is already being piloted at Cleveland Clinic and recently won Best Paper at the 2025 IEEE International Conference on Digital Health. Researchers believe this approach could make gait analysis widely accessible and scalable, especially for rare conditions where collecting real data is difficult. Is IBM a Buy, Sell, or Hold? Turning to Wall Street, analysts have a Moderate Buy consensus rating on IBM stock based on seven Buys, four Holds, and one Sell assigned in the past three months, as indicated by the graphic below. Furthermore, the average IBM price target of $297.33 per share implies 14.5% upside potential.
