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Tag: Risk

  • The ‘Worst in Show’ CES products put your data at risk and cause waste, privacy advocates say

    The ‘Worst in Show’ CES products put your data at risk and cause waste, privacy advocates say

    LAS VEGAS — So much of the technology showcased at CES includes gadgets made to improve consumers’ lives — whether by leveraging AI to make devices that help people become more efficient, by creating companions to cure loneliness or by providing tools that help people with mental and physical health.

    But not all innovation is good, according to a panel of self-described dystopia experts that has judged some products as “Worst in Show.” The award that no company wants to win calls out the “least repairable, least private, and least sustainable products on display.”

    “We’re seeing more and more of these things that have basically surveillance technology built into them, and it enables some cool things,” Liz Chamberlain, director of sustainability at the e-commerce site iFixit told The Associated Press. “But it also means that now we’ve got microphones and cameras in our washing machines, refrigerators and that really is an industry-wide problem.”

    The fourth annual contest announced its decisions Thursday.

    Kyle Wiens, CEO of iFixit, awarded the Ultrahuman Rare Luxury Smart Ring the title of “least repairable.”

    The rings, which come in colors like dune and desert sand, cost $2,200. Wiens said the jewelry “looks sleek but hides a major flaw: its battery only lasts 500 charges.” Worse, he said, is the fact that replacing the battery is impossible without destroying the device entirely.

    “Luxury items may be fleeting, but two years of use for $2,200 is a new low,” he said.

    Bosch’s “Revol” crib uses sensors, cameras and AI that the company says can help monitor vital signs like how an infant is sleeping, their heart and respiratory rates and more. The crib can also rock gently if the baby needs help falling asleep and signal to parents if a blanket or other object is interfering with breathing.

    The company says users can how and where their data is stored. Bosch also says the crib can be transformed into a desk as children get older.

    But EFF Executive Director Cindy Cohn said the crib preys on parents’ fears and “collects excessive data about babies via a camera, microphone, and even a radar sensor.”

    “Parents expect safety and comfort — not surveillance and privacy risks — in their children’s cribs,” she said in the report.

    Although AI is everywhere at CES, Stacey Higginbotham, a policy Fellow at Consumer Reports, felt that SoundHound AI’s In-Car Commerce Ecosystem, powered by its Automotive AI, pushes it to unnecessary extremes.

    The feature “increases energy consumption, encourages wasteful takeout consumption and distracts drivers—all while adding little value,” Higginbotham said. That landed the in-car system as “least sustainable” on the list.

    TP-Link’s Archer BE900 router won for “least secure” of CES. The company is a top-selling router brand in the U.S. But its products are vulnerable to hacking, said Paul Roberts, founder of The Security Ledger.

    “By Chinese law, TP-Link must report security flaws to the government before alerting the public, creating a significant national security risk,” he said. “Yet TP-Link showcased its Archer BE900 router at CES without addressing these vulnerabilities.”

    The awards also feature a category called “who asked for this?” Top of that list was Samsung’s Bespoke AI Washing Machine, which Nathan Proctor, senior director of U.S. PIRG, a consumer advocacy group, said is filled “with features no one needs,” including the ability to make phone calls.

    “These add-ons only make the appliance more expensive, fragile, and harder to repair,” he said.

    Gay Gordon-Byrne, executive director of The Repair Association called the LG “AI Home Inside 2.0 Refrigerator with ThinkQ” the worst product overall. The fridge adds “flashy features,” Gordon-Byrne said, including a screen and internet connection.

    “But these come at a cost,” Gordon-Byrne said. “Shorter software support, higher energy consumption, and expensive repairs reduce the fridge’s practical lifespan, leaving consumers with an expensive, wasteful gadget.”

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  • Apple complains Meta requests risk privacy amid EU effort to widen iPhone tech access

    Apple complains Meta requests risk privacy amid EU effort to widen iPhone tech access

    LONDON — Apple complained that requests from Meta Platforms for access to its operating software threaten user privacy, in a spat fueled by the European Union’s intensifying efforts to get the iPhone maker to open up to products from tech rivals.

    The 27-nation EU’s executive Commission is drawing up “interoperability” guidelines for Apple under its new digital competition rulebook. The interoperability measures would ensure that devices like smartwatches or features like wireless file transfers work as smoothly with iPhones as do Apple Watches or AirDrop.

    The EU’s rulebook, known as the Digital Markets Act, aims to promote fair competition in digital markets and prevent Big Tech “gatekeeper” companies from cornering markets. The commission posted proposed measures late Wednesday on how Apple should make its iOS operating system work with other technology.

    In response, Apple said it’s “concerned that some companies — with data practices that do not meet the high standards of data protection law held by the EU and supported by Apple — may attempt to abuse the DMA’s interoperability provisions to access sensitive user data.”

    The company singled out Meta, saying it has made at least 15 requests “for potentially far-reaching access to Apple’s technology stack” that would reduce privacy protections for users.

    If those requests were granted, “Facebook, Instagram, and WhatsApp could enable Meta to read on a user’s device all of their messages and emails, see every phone call they make or receive, track every app that they use, scan all of their photos, look at their files and calendar events, log all of their passwords,” the company said in a report.

    Meta, which owns Facebook and Instagram, fought back.

    “Here’s what Apple is actually saying: they don’t believe in interoperability,” Meta spokesman Andy Stone said in a post on X. “In fact, every time Apple is called out for anticompetitive behavior, they defend themselves on privacy grounds that have no basis in reality.”

    The Brussels-based European Commission’s proposed measures call for an approach based on Apple’s existing “request-based process,” in which developers ask for access to features and functions.

    Apple should provide a “dedicated contact” to handle requests and give updates and feedback, and there should be a “fair and impartial conciliation” process to settle disagreements on technical issues.

    The commission is now asking for feedback from the public by Jan. 9 on the proposals, including from any companies that have made interoperability requests from Apple, or are thinking of doing so.

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  • How lifestyle and health shape your dementia risk

    How lifestyle and health shape your dementia risk

    New RAND research identifies early predictors of cognitive impairment and dementia using a nationally representative U.S. dataset, highlighting the role of modifiable factors and baseline cognitive health in prevention and intervention strategies.

    Report: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / ShutterstockReport: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / Shutterstock

    A new report published by RAND, the nonprofit research organization, has identified early predictors of cognitive impairment and dementia (a progressive decline in cognitive abilities that interferes with daily functioning) using a large, nationally representative United States (U.S.) sample to enhance early diagnosis, prevention, and resource allocation strategies.

    Background

    Dementia is a leading cause of disability and dependency among older adults, imposing significant financial and emotional burdens on families and healthcare systems globally. Age is the strongest risk factor, but other determinants, including genetics, education, socioeconomic status, and lifestyle, also play critical roles. Recent studies suggest that modifiable factors, such as physical activity, social engagement, and cognitive stimulation, can influence the risk of cognitive decline. However, many existing prediction models lack precision and fail to incorporate sufficiently diverse datasets, limiting their effectiveness in early detection and intervention planning. Further research is essential to refine these models, particularly by enhancing generalizability through representative datasets and innovative methodologies.

    About the Report

    The report utilized data from the Health and Retirement Study (HRS), a nationally representative, longitudinal survey of U.S. adults aged 50 and older, spanning from 1992 to 2016. Participants included individuals aged 65 and above who were dementia-free at baseline. Cognitive impairment and dementia were measured using a validated probabilistic model calibrated to clinical diagnoses from a subsample. This approach reduced classification errors, improved model accuracy, and minimized false-positive transitions between cognitive states.

    To predict dementia incidence and prevalence, 181 potential risk factors were analyzed and categorized into demographic, socioeconomic, psychosocial, lifestyle, health behaviors, and cognitive domains. Predictors included variables such as education, health status, physical and cognitive activities, and genetic markers. The report also emphasizes long-term prediction, using baseline data at age 60 to forecast dementia outcomes at age 80. Regression models estimated the relationship between these predictors and dementia outcomes, with separate models for two-year, four-year, and long-term predictions. Predictors were ranked based on their explanatory power using partial R-squared values.

    The analysis accounted for missing data through imputation or categorical inclusion, ensuring comprehensive coverage. Variables were selected based on their availability and relevance, with emphasis on modifiable factors. Statistical adjustments accounted for demographic and population-level disparities, such as differences in age, sampling weights, and SES indicators.

    Results

    The report used data from a nationally representative sample to identify several predictors of cognitive impairment and dementia. The analysis revealed that baseline cognitive ability, physical health, and functional limitations were among the most significant predictors. Among cognitive measures, delayed and immediate word recall, serial sevens, and self-reported memory showed the highest predictive power. These findings highlight the critical role of baseline cognitive function in identifying individuals at risk for cognitive decline.

    Health and functional limitations were also significant predictors. Poor self-reported health, limitations in instrumental and basic activities of daily living, and physical performance metrics, such as walking speed and balance, strongly correlated with higher dementia risk. Additionally, chronic health conditions, such as diabetes and high body mass index, substantially increase the likelihood of cognitive impairment.

    Socioeconomic status (SES) indicators, including education level, total years worked, and private health insurance coverage, demonstrated significant associations with dementia risk. Individuals with lower educational attainment and fewer years of work history faced a higher risk, emphasizing the potential long-term impact of SES on cognitive health. Lifestyle behaviors, such as regular physical activity and moderate alcohol consumption, were protective, while inactivity and excessive alcohol use were associated with increased risk.

    Demographic factors, including age, race, and geographic birth region, also contributed to the risk. Non-Hispanic Black and Hispanic individuals exhibited higher dementia incidence, although these disparities diminished when controlling for SES and health factors. Birth in the southern US or abroad was linked to elevated risk, suggesting regional and environmental influences.

    Psychosocial factors provided additional insights. Engagement in hobbies, novel information activities, and social interactions correlated with a lower risk of dementia, as did traits such as conscientiousness and positive affect. Conversely, loneliness and high levels of negative affect were associated with increased risk. The long-term prediction models strongly emphasized cognitive and physical health factors, confirming their predictive power for outcomes measured two decades later.

    Conclusions

    The report identified key predictors of cognitive impairment and dementia, emphasizing the importance of early intervention and prevention strategies that focus on modifiable risk factors. Cognitive measures such as word recall, self-reported memory, functional limitations, and physical health metrics emerged as significant contributors. Socioeconomic status, including education and work history, and lifestyle behaviors, such as physical activity, further influenced dementia risk. Demographic and psychosocial factors provided additional insights, highlighting the multifactorial nature of dementia risk.

    The findings suggest that targeted interventions, particularly those addressing physical and cognitive health, lifestyle behaviors, and SES disparities, could significantly reduce dementia prevalence. Policymakers are urged to consider evidence-based strategies to promote these protective measures.

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  • How lifestyle and health shape your dementia risk

    How lifestyle and health shape your dementia risk

    New RAND research identifies early predictors of cognitive impairment and dementia using a nationally representative U.S. dataset, highlighting the role of modifiable factors and baseline cognitive health in prevention and intervention strategies.

    Report: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / ShutterstockReport: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / Shutterstock

    A new report published by RAND, the nonprofit research organization, has identified early predictors of cognitive impairment and dementia (a progressive decline in cognitive abilities that interferes with daily functioning) using a large, nationally representative United States (U.S.) sample to enhance early diagnosis, prevention, and resource allocation strategies.

    Background

    Dementia is a leading cause of disability and dependency among older adults, imposing significant financial and emotional burdens on families and healthcare systems globally. Age is the strongest risk factor, but other determinants, including genetics, education, socioeconomic status, and lifestyle, also play critical roles. Recent studies suggest that modifiable factors, such as physical activity, social engagement, and cognitive stimulation, can influence the risk of cognitive decline. However, many existing prediction models lack precision and fail to incorporate sufficiently diverse datasets, limiting their effectiveness in early detection and intervention planning. Further research is essential to refine these models, particularly by enhancing generalizability through representative datasets and innovative methodologies.

    About the Report

    The report utilized data from the Health and Retirement Study (HRS), a nationally representative, longitudinal survey of U.S. adults aged 50 and older, spanning from 1992 to 2016. Participants included individuals aged 65 and above who were dementia-free at baseline. Cognitive impairment and dementia were measured using a validated probabilistic model calibrated to clinical diagnoses from a subsample. This approach reduced classification errors, improved model accuracy, and minimized false-positive transitions between cognitive states.

    To predict dementia incidence and prevalence, 181 potential risk factors were analyzed and categorized into demographic, socioeconomic, psychosocial, lifestyle, health behaviors, and cognitive domains. Predictors included variables such as education, health status, physical and cognitive activities, and genetic markers. The report also emphasizes long-term prediction, using baseline data at age 60 to forecast dementia outcomes at age 80. Regression models estimated the relationship between these predictors and dementia outcomes, with separate models for two-year, four-year, and long-term predictions. Predictors were ranked based on their explanatory power using partial R-squared values.

    The analysis accounted for missing data through imputation or categorical inclusion, ensuring comprehensive coverage. Variables were selected based on their availability and relevance, with emphasis on modifiable factors. Statistical adjustments accounted for demographic and population-level disparities, such as differences in age, sampling weights, and SES indicators.

    Results

    The report used data from a nationally representative sample to identify several predictors of cognitive impairment and dementia. The analysis revealed that baseline cognitive ability, physical health, and functional limitations were among the most significant predictors. Among cognitive measures, delayed and immediate word recall, serial sevens, and self-reported memory showed the highest predictive power. These findings highlight the critical role of baseline cognitive function in identifying individuals at risk for cognitive decline.

    Health and functional limitations were also significant predictors. Poor self-reported health, limitations in instrumental and basic activities of daily living, and physical performance metrics, such as walking speed and balance, strongly correlated with higher dementia risk. Additionally, chronic health conditions, such as diabetes and high body mass index, substantially increase the likelihood of cognitive impairment.

    Socioeconomic status (SES) indicators, including education level, total years worked, and private health insurance coverage, demonstrated significant associations with dementia risk. Individuals with lower educational attainment and fewer years of work history faced a higher risk, emphasizing the potential long-term impact of SES on cognitive health. Lifestyle behaviors, such as regular physical activity and moderate alcohol consumption, were protective, while inactivity and excessive alcohol use were associated with increased risk.

    Demographic factors, including age, race, and geographic birth region, also contributed to the risk. Non-Hispanic Black and Hispanic individuals exhibited higher dementia incidence, although these disparities diminished when controlling for SES and health factors. Birth in the southern US or abroad was linked to elevated risk, suggesting regional and environmental influences.

    Psychosocial factors provided additional insights. Engagement in hobbies, novel information activities, and social interactions correlated with a lower risk of dementia, as did traits such as conscientiousness and positive affect. Conversely, loneliness and high levels of negative affect were associated with increased risk. The long-term prediction models strongly emphasized cognitive and physical health factors, confirming their predictive power for outcomes measured two decades later.

    Conclusions

    The report identified key predictors of cognitive impairment and dementia, emphasizing the importance of early intervention and prevention strategies that focus on modifiable risk factors. Cognitive measures such as word recall, self-reported memory, functional limitations, and physical health metrics emerged as significant contributors. Socioeconomic status, including education and work history, and lifestyle behaviors, such as physical activity, further influenced dementia risk. Demographic and psychosocial factors provided additional insights, highlighting the multifactorial nature of dementia risk.

    The findings suggest that targeted interventions, particularly those addressing physical and cognitive health, lifestyle behaviors, and SES disparities, could significantly reduce dementia prevalence. Policymakers are urged to consider evidence-based strategies to promote these protective measures.

    Source link

  • How lifestyle and health shape your dementia risk

    How lifestyle and health shape your dementia risk

    New RAND research identifies early predictors of cognitive impairment and dementia using a nationally representative U.S. dataset, highlighting the role of modifiable factors and baseline cognitive health in prevention and intervention strategies.

    Report: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / ShutterstockReport: Identifying Early Predictors of Cognitive Impairment and Dementia in a Large Nationally Representative U.S. Sample. Image Credit: Orawan Pattarawimonchai / Shutterstock

    A new report published by RAND, the nonprofit research organization, has identified early predictors of cognitive impairment and dementia (a progressive decline in cognitive abilities that interferes with daily functioning) using a large, nationally representative United States (U.S.) sample to enhance early diagnosis, prevention, and resource allocation strategies.

    Background

    Dementia is a leading cause of disability and dependency among older adults, imposing significant financial and emotional burdens on families and healthcare systems globally. Age is the strongest risk factor, but other determinants, including genetics, education, socioeconomic status, and lifestyle, also play critical roles. Recent studies suggest that modifiable factors, such as physical activity, social engagement, and cognitive stimulation, can influence the risk of cognitive decline. However, many existing prediction models lack precision and fail to incorporate sufficiently diverse datasets, limiting their effectiveness in early detection and intervention planning. Further research is essential to refine these models, particularly by enhancing generalizability through representative datasets and innovative methodologies.

    About the Report

    The report utilized data from the Health and Retirement Study (HRS), a nationally representative, longitudinal survey of U.S. adults aged 50 and older, spanning from 1992 to 2016. Participants included individuals aged 65 and above who were dementia-free at baseline. Cognitive impairment and dementia were measured using a validated probabilistic model calibrated to clinical diagnoses from a subsample. This approach reduced classification errors, improved model accuracy, and minimized false-positive transitions between cognitive states.

    To predict dementia incidence and prevalence, 181 potential risk factors were analyzed and categorized into demographic, socioeconomic, psychosocial, lifestyle, health behaviors, and cognitive domains. Predictors included variables such as education, health status, physical and cognitive activities, and genetic markers. The report also emphasizes long-term prediction, using baseline data at age 60 to forecast dementia outcomes at age 80. Regression models estimated the relationship between these predictors and dementia outcomes, with separate models for two-year, four-year, and long-term predictions. Predictors were ranked based on their explanatory power using partial R-squared values.

    The analysis accounted for missing data through imputation or categorical inclusion, ensuring comprehensive coverage. Variables were selected based on their availability and relevance, with emphasis on modifiable factors. Statistical adjustments accounted for demographic and population-level disparities, such as differences in age, sampling weights, and SES indicators.

    Results

    The report used data from a nationally representative sample to identify several predictors of cognitive impairment and dementia. The analysis revealed that baseline cognitive ability, physical health, and functional limitations were among the most significant predictors. Among cognitive measures, delayed and immediate word recall, serial sevens, and self-reported memory showed the highest predictive power. These findings highlight the critical role of baseline cognitive function in identifying individuals at risk for cognitive decline.

    Health and functional limitations were also significant predictors. Poor self-reported health, limitations in instrumental and basic activities of daily living, and physical performance metrics, such as walking speed and balance, strongly correlated with higher dementia risk. Additionally, chronic health conditions, such as diabetes and high body mass index, substantially increase the likelihood of cognitive impairment.

    Socioeconomic status (SES) indicators, including education level, total years worked, and private health insurance coverage, demonstrated significant associations with dementia risk. Individuals with lower educational attainment and fewer years of work history faced a higher risk, emphasizing the potential long-term impact of SES on cognitive health. Lifestyle behaviors, such as regular physical activity and moderate alcohol consumption, were protective, while inactivity and excessive alcohol use were associated with increased risk.

    Demographic factors, including age, race, and geographic birth region, also contributed to the risk. Non-Hispanic Black and Hispanic individuals exhibited higher dementia incidence, although these disparities diminished when controlling for SES and health factors. Birth in the southern US or abroad was linked to elevated risk, suggesting regional and environmental influences.

    Psychosocial factors provided additional insights. Engagement in hobbies, novel information activities, and social interactions correlated with a lower risk of dementia, as did traits such as conscientiousness and positive affect. Conversely, loneliness and high levels of negative affect were associated with increased risk. The long-term prediction models strongly emphasized cognitive and physical health factors, confirming their predictive power for outcomes measured two decades later.

    Conclusions

    The report identified key predictors of cognitive impairment and dementia, emphasizing the importance of early intervention and prevention strategies that focus on modifiable risk factors. Cognitive measures such as word recall, self-reported memory, functional limitations, and physical health metrics emerged as significant contributors. Socioeconomic status, including education and work history, and lifestyle behaviors, such as physical activity, further influenced dementia risk. Demographic and psychosocial factors provided additional insights, highlighting the multifactorial nature of dementia risk.

    The findings suggest that targeted interventions, particularly those addressing physical and cognitive health, lifestyle behaviors, and SES disparities, could significantly reduce dementia prevalence. Policymakers are urged to consider evidence-based strategies to promote these protective measures.

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  • Lifestyle choices at 60 linked to dementia risk decades later, study shows

    Lifestyle choices at 60 linked to dementia risk decades later, study shows

    Early predictors of dementia are emerging as critical tools for guiding health and lifestyle decisions long before symptoms appear.

    The Health and Retirement Study, which looked at more than two decades of data from over 45,000 older adults in the United States, suggested that lifestyle, genetics and other factors at 60 years old can help predict brain health at 80.

    “Our research confirmed that factors like low cognitive test scores and poor general health in one’s 60s are strong predictors of dementia later in life,” said Peter Hudomiet, the PhD-level researcher and economist at the RAND Corporation, who led the study, told ABC News.

    “We also uncovered some surprising insights, such as the significant protective effect of education, particularly having a high school diploma, and the increased risk associated with living in the South,” he added.

    PHOTO: A elderly person exercises in an undated stock photo.

    Among the study’s findings, younger seniors who engaged in physical activity and mentally stimulating hobbies appeared to have a lower risk of cognitive decline. Conversely, those who led sedentary lifestyles and those who had few mentally stimulating interests to occupy their time were more likely to develop dementia by age 80. Excessive alcohol use was also bad for the brain, the study found.

    “Lifestyle factors like minimal exercise, extreme obesity, and both excessive and no alcohol consumption also emerged as important contributors. These findings highlight the complex interplay of behavioral, social, and genetic factors in dementia risk,” Hudomiet said.

    Chronic health conditions including diabetes, obesity and stroke by the age of 60 were strongly linked to a higher chance of dementia later in life, according to the study.

    Some groups were higher at risks than others, such as those born in a Southern state. Black and Hispanic people were also at higher risk as well, possibly because they lacked access to health care, the study said.

    “We do see very large differences by socioeconomic status, measured in various ways — for example, using education, income, wealth, and race. People with lower education, less income, less wealth, and racial minorities all face higher chances of dementia,” Hudomiet said. “However, when we control for education and income, the racial disparities disappear, suggesting that the differences are related to socioeconomic factors.”

    This is good news, Hudomiet said, because it means addressing disparities could help close these gaps for high-risk groups.

    While genetics and age can’t be changed, the study emphasized that many other risk factors can be proactively addressed. For instance, getting regular exercise, finding a hobby, staying socially active and managing chronic conditions all may help keep the brain sharp. Limiting alcohol consumption, eating a healthy diet and getting good sleep all helped mitigate risk as well.

    Kristine Yaffe, MD, professor of psychiatry, neurology, and epidemiology at the University of California at San Francisco said she thought the study added some impressive evidence for real strategies that help stave off dementia.

    “The findings underscore the importance of genetics, behaviors, and lifestyle factors. In particular, they highlight critical considerations for promoting brain health across the life course,” she said.

    She urged people to start thinking about their brain health early.

    “We need to increasingly think about ways to promote brain health, just as we focus on promoting cardiovascular health. This is something we should consider across every stage of life, not just when we’re older and start worrying about memory,” she said.

    Despite its comprehensive findings, the study doesn’t prove that changing lifestyle behaviors can help prevent dementia, only that they are associated with a lower risk of the disease. The authors call for further research to explore targeted interventions for a wider variety of people.

    An estimated 6.9 million Americans are living with dementia, according to the National Institutes of Health. Those numbers will double by 2060, the Centers for Disease Control and Prevention projects.

    Neil C. Bhavsar is an emergency medicine resident physician with New York Presbyterian, Columbia/Cornell and a member of the ABC News Medical Unit.

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  • The increased risk of concussions for girls who play soccer

    Adam Cohen and Dr. Hal Scofield

    Brain Injury

    Adam’s Journal

    In addition to your day job as a physician-researcher at the Oklahoma Medical Research Foundation, I know you spend a good deal of time and energy as a referee for youth soccer. With the fall season recently having come to an end, I wondered whether there were any issues that stood out to you as a person who wears both a zebra-striped jersey and a white lab coat?

    Dr. Scofield Prescribes

    In youth soccer, there are two major injury trends in the spotlight: concussions and knee injuries, particularly those to the anterior cruciate ligament. Because we recently talked orthopedics and Chet Holmgren’s hip, I’ll save the ACL discussion for a future column. Here, let’s focus on head injuries and, specifically, girls and their increased risk of concussions.

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  • Are YOU at risk from the hidden pension killer?

    Are YOU at risk from the hidden pension killer?

    They have been slammed as ‘weapons of wealth destruction’ and they could be silently wrecking your retirement – without you even realising.

    So-called ‘lifestyle’ funds are a common feature in workplace pensions.

    They are meant to protect the pension pots of millions of workers from the ups and downs of the stock market as they approach retirement age.

    But, rather than shielding people from losses and securing them a more prosperous old age, experts say precisely the opposite is happening.

    Savers who put into lifestyle funds are ending up with much lower pensions than they could have achieved without taking undue risks on their investments.

    The damage is being done right under the noses of millions of middle-aged Britons, whose pension savings are being eroded without their knowledge – let alone consent.

    The idea behind ‘lifestyle’ funds makes sense in theory.

    They are meant to ensure that their nest eggs built up over decades of toil don’t suddenly vanish if the stock market crashes just at the point when workers retire and take their pension, leaving them permanently worse off.

    Lifestyle funds have been slammed as 'weapons of wealth destruction'

    Lifestyle funds have been slammed as ‘weapons of wealth destruction’

    Former pensions minister Ros Altmann sees these funds as unsuitable for many

    Former pensions minister Ros Altmann sees these funds as unsuitable for many

    But far from giving peace of mind, these ‘lifestyle’ strategies – which have been adopted by the vast majority of workplace pension schemes – are virtually guaranteed to lose money in real terms after accounting for inflation.

    So how do you know if you are affected? And what can be done to prevent this hidden danger lurking in your pension from ruining your golden years?

    Am I affected?

    The first thing to say is that if you are lucky enough to be a member of a ‘defined benefit’ scheme, where your pension is linked to your salary, you are not affected and can breathe a sigh of relief. If you are employed directly in the public sector, you are likely to be in a scheme of this sort.

    But if you have a ‘defined contribution’ plan where your savings are invested in a pot of shares and other assets, then you may well be shunted into a ‘lifestyle’ fund in your fifties. Most employees in the private sector are in plans of this sort.

    So what is a lifestyle fund?

    Pension funds invest in a range of assets including shares, bonds and property. These assets carry varying degrees of risk and reward.

    The concept of ‘lifestyle’ funds is that, as people draw near to retirement age, their pension nest-egg is moved into cash and bonds. The latter are essentially IOUs issued by companies and governments.

    Putting savings into a lifestyle fund is meant to ensure they are insulated from the vagaries of the stock market and that savers don’t incur heavy losses just as they approach retirement.

    Lifestyle funds confusingly might also be called something else, such as a ‘target date’ fund.

    Am I in one?

    You are not alone in not knowing. Three quarters of pension savers have never heard of ‘lifestyling’, recent research from RBC Brewin Dolphin revealed.

    Some 64 per cent are unaware that their savings will be put into such a fund unless they take active steps to avoid it.

    If you are within ten years or less of your intended retirement age and you are saving in a defined contribution scheme then you may well be in a lifestyle fund.

    If you are in a defined benefit scheme – most public sector workers are – then don’t worry, it does not apply to you.

    Many private sector workplace schemes switch members into lifestyle funds within six to ten years of their intended retirement date.

    This is usually the State Pension age, which today is 66. The switch to lifestyling normally happens automatically, without your consent.

    The lifestyle fund will be managed by an investment firm selected by your employer.

    These include household names such as Legal & General, Aviva, Scottish Widows and Nest, which alone has 13million lifestyle fund members.

    You can opt out – but the onus is on you to do so.

    OK but why is this a bad thing?

    Because the returns on lifestyle funds are much lower than those savers might reasonably expect to obtain elsewhere, without taking undue levels of risk.

    Lifestyle funds invest in cash and in bonds – which misleadingly are often portrayed as ultra-safe. This type of fund is likely to make low or even negative returns once inflation is taken into account. In other words, savers are missing out on potentially better opportunities and likely to lose money in real terms.

    Once the era of ultra-low interest rates ended in 2021, bond prices began to fall – and the shortcomings of lifestyle funds were cruelly exposed.

    UK government gilts in particular have been lousy performers as the cost of borrowing soared to tame runaway inflation.

    This has spelt disaster for those approaching retirement with their savings in lifestyle funds – usually without their knowledge.

    To rub salt into their wounds, stock markets have boomed in recent years – especially in the US – meaning they have missed out on the opportunity to make much more for their golden years.

    The net result is that those planning to retire have a lot less in their pension pot than if they had stayed invested in shares.

    So how much worse off are we talking?

    You’re not going to like this. Adam Walkom, a financial planner at Permanent Wealth Partners says ‘lifestyling’ is ‘absolutely a weapon of wealth destruction’.

    As he points out, although cash and bonds are meant to be safe investments, savers are actually locking into losses once inflation is factored in.

    ‘If you end up in just cash and bonds you’re not going to get your money back’ in real terms after taking account of inflation, he says.

    Exclusive research for the Mail reveals a pension pot that had been automatically lifestyled over the last 14 years and is worth £100,000 today would have been worth £135,600 if it had been invested in growth assets such as shares since 2010.

    This gap grows to over £61,000 if the money had been invested since 2000.

    ‘Lifestyling is now a proven failure over a quarter of a century,’ says Henry Tapper of AgeWage, a fintech firm that carried out the survey of 3,000 adults with pensions consultancy Hymans Robertson.

    ‘It is not fit for purpose and a hangover of the actuarial culture that has dominated pensions for 50 years.

    ‘Lifestyling is generally a value destroyer for what people want: the biggest pension pot possible.’

    In extreme cases, the results have been disastrous.

    Walkom cites the case of Martin, a 59-year-old man who was forced to retire early because of a disability.

    His biggest pension pot, built up with a former employer, was worth almost £200,000 in June 2021.

    But by October 2023 it had shrunk to just £134,000 because Martin’s pension had been steadily ‘lifestyled’ into a gilt fund whose price crashed in the wake of the Liz Truss mini-Budget.

    Are there any plus points to lifestyle funds?

    Yes. Sonia Kataora, a partner at pensions firm Barnett Waddingham says there are pros as well as cons.

    With a lifestyle fund you don’t need to manage your investments, it is all done for you. You are also protected against sudden stock market sell-offs.

    Lifestyle funds work best if you plan to buy an annuity – a fixed income – at a set retirement date.

    Annuity rates – which determine how much annual fixed income you receive – have increased in recent years as interest rates have risen.

    That means the cost of securing the same annual income has fallen.

    Put another way, if a lifestyle fund’s value drops it still secures the same future benefit because it has become cheaper to buy an annuity.

    If you decide against lifestyling and choose your own investments, you risk making mistakes. Plus, it requires time and effort. There is also the potential for rash decisions that could undermine your long-term goals. But the upside is that you could receive much better returns than through lifestyling.

    It’s crazy. How did this come about?

    Good question. Lifestyle funds are the relic of a past system under which they did make more sense.

    Until 2011, any member of a pension scheme had to buy an annuity – a fixed income for life – by the age of 75.

    Under that system, when people had a ‘target date’ for taking their pension, there was indeed a rationale to move into less volatile investments as retirement beckoned.

    However, there is now no requirement to buy an annuity. Increasingly, people don’t set a cliff-edge retirement date but work part time or flexibly as they get older and ease their way out, often opting not to take their pension all at once.

    Rather than locking themselves into an annuity in a one-off, irrevocable move, people can draw down an income from their pension pot according to their needs and what they can afford.

    With increasing life expectancies, someone in their fifties may have another thirty or more years to live. Over that time horizon, history tells us shares will deliver better significantly returns and protection against inflation than bonds or cash.

    ‘The lifestyle and target-date default funds are not suitable for many people,’ says former pensions minister Ros Altmann.

    ‘Workers are unknowingly having their money put into investments that will usually give much lower returns,’ she adds.

    ‘Lifestyle funds should have been re-designed when pension freedom reforms came in more than a decade ago.

    ‘But that didn’t happen and the industry has just kept on doing the same old same old thing,’ she laments.

    Shouldn’t they be doing something now?

    You’d think – but the wheels move slowly in the pensions world.

    The Financial Conduct Authority (FCA), the industry regulator, is on the case.

    ‘Pots at retirement are smaller than they otherwise would be, with some savers stuck in under-performing default [funds] for a sustained period of time,’ said Sarah Pritchard, the FCA’s markets director as she launched a ‘value for money’ review earlier this year.

    Don’t hold your breath.

    What can I do?

    If you are in your fifties or above, check your workplace pension to see if you have been switched into a lifestyle fund or if you will be in future.

    Most will have a website where you can see which funds you are in, and how those funds invest your money.

    The sooner you act the better because the closer to retirement you are, the less time you have on your side. If you still have several years to go before you plan to give up work, then there may be scope to make up for at least some poor performance in your pension due to ‘lifestyling.’

    It is a good idea in any case to check regularly on how much you and your employer are paying into your pension and on the performance of your plan.

    ‘Having some idea about retirement plans and how income will be produced is essential as we enter our fifties,’ says Rob Burgeman, senior investment manager at wealth manager RBC Brewin Dolphin.

    As you get older, it does make sense to take fewer risks with your pension pot, so it’s important not to veer from one extreme to another and shift into highly speculative assets.

    If your pension is less than you hoped but you are still some years away from retiring, you could increase your contributions if you can afford it.

    Another option, if you are able to, is setting a later retirement date.

    You can decline to have your savings put in a lifestyle fund in the first place if you act in time. You can also switch your savings out of a lifestyle fund into one that invests in shares in the hope of better performance, although this is not guaranteed and you might lose money.

    Employer pensions will offer a range of funds to choose from.

    You may be able to switch between funds yourself online on the scheme website. If that is not the case, you can ask your workplace pension provider to move your pension into a fund or funds that you prefer.

    Choosing your own fund can be daunting, so it may be worth paying to see a regulated financial adviser who can assess the options for you. Given the sums at stake, that may prove the best investment of all.

    Some links in this article may be affiliate links. If you click on them we may earn a small commission. That helps us fund This Is Money, and keep it free to use. We do not write articles to promote products. We do not allow any commercial relationship to affect our editorial independence.

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  • Six Lifestyle Changes That Can Significantly Lower Dementia Risk

    Six Lifestyle Changes That Can Significantly Lower Dementia Risk

    Adopting six simple lifestyle habits may reduce the likelihood of developing dementia, a condition affecting over 55 million people globally.

    By yourNEWS Media Newsroom

    Dementia, an umbrella term for progressive disorders impacting memory and cognitive function, is a growing global health challenge. Alzheimer’s disease, responsible for up to 75% of dementia cases, highlights the urgency of prevention strategies. While genetics and demographics influence risk, researchers emphasize that adopting key lifestyle habits can significantly lower the risk of dementia.

    A study published in the Journal of Affective Disorders analyzed habits among participants aged 60 and older who were dementia-free at the time. The research awarded points for healthy behaviors, including exercise, social engagement, and leisure activities. Those scoring four or more points were 29% less likely to show early signs of cognitive decline, while each additional point reduced risk by 18%.

    Healthy Lifestyle Changes to Reduce Dementia Risk

    Exercising Regularly

    Regular physical activity, such as walking for at least 10 minutes daily, has profound cognitive benefits. Exercise boosts brain blood flow, supports new nerve connections, and reduces inflammation. A separate study in the Journal of Alzheimer’s Disease found that light daily exercise can increase brain volume and enhance memory.

    Avoiding or Quitting Smoking

    Never smoking or successfully quitting can protect brain health. Research in Biological Psychiatry: Global Open Science revealed that smoking accelerates brain shrinkage, increasing dementia risk. Smoking cessation improves cardiovascular function and reduces brain inflammation.

    Limiting Alcohol Consumption

    Rarely consuming alcohol is linked to reduced dementia risk. A study in JAMA Network Open found that heavy drinking (three or more drinks daily) increased the risk of dementia by 8%. Minimizing alcohol intake helps preserve cognitive function by preventing brain damage and nutritional deficiencies.

    Maintaining Social Interaction

    Regular social engagement—meeting others more than three times monthly or weekly—supports mental stimulation and emotional well-being. Social isolation has been linked to increased risks of dementia, heart disease, and depression. Meaningful interactions foster problem-solving and stress reduction.

    Engaging in Leisure Activities

    Hobbies like reading daily or playing games twice a week stimulate cognitive functions critical for maintaining mental acuity. Activities that challenge the mind help delay age-related cognitive decline.

    Prioritizing Quality Sleep

    Sleep quality is essential for brain health, as it facilitates memory consolidation and toxin removal. Experts recommend 7–9 hours of sleep nightly. Poor sleep quality can impair cognitive function and increase the risk of dementia. Ensuring restful sleep supports brain health and reduces chronic illness risks.

    Conclusion

    Adopting these lifestyle habits can reduce dementia risk and improve overall brain health. For additional insights, watch this video on dementia prevention. Embracing these changes is an investment in long-term cognitive vitality.

    Posted by yourNEWS Media Newsroom

    yourNEWS.com is a premier news dissemination platform operating at local, state, and national levels. Our unwavering commitment lies in the restoration of journalistic integrity. We envision news delivery in its purest form: untainted by bias and firmly grounded in truth. Embracing transparency, we refrain from censorship. By circumventing the gatekeepers of misinformation and government narratives, we empower ‘the people’ with the rightful control over the press. yourNEWS is on the cusp of reshaping the media landscape, cultivating the largest news platform globally. We are not just forecasting change—we’re creating it. The views expressed in this article are those of the author and do not reflect the official position of yourNEWS. (Note: Articles may not be original content. Reference byline for original source.)



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  • Obesity, diabetes may up dementia risk 10 years earlier in men: Study

    Obesity, diabetes may up dementia risk 10 years earlier in men: Study

    Others Lifestyle

    Men with cardiovascular disease risk factors such as type 2 diabetes, obesity, high blood pressure, and smoking may have brain health decline, leading to dementia, 10 years earlier than women, finds a study on Wednesday.

    IANS

    Nov 27, 2024 07:41 PM | UPDATED: Nov 27, 2024 07:41 PM | 8 min read

    The findings of a long-term study, published online in the Journal of Neurology Neurosurgery & Psychiatry, showed that men with cardiovascular disease risk factors can have dementia onset a decade earlier — from their mid-50s to mid-70s — than similarly affected women who are most susceptible from their mid-60s to mid-70s. 

    Researchers from Imperial College London, UK found that the most vulnerable regions of the brain are those involved in processing auditory information, aspects of visual perception, emotional processing, and memory. They noted that the damaging effects are just as evident in those who didn’t carry the high-risk APOE4 gene — a genetic risk factor for Alzheimer’s disease — as those who did. 

    “The detrimental impact of cardiovascular risk was widespread throughout cortical regions, highlighting how cardiovascular risk can impair a range of cognitive functions,” said the researchers.  

    The study included 34,425 participants from the UK Biobank all of whom had had both abdominal and brain scans. Their average age was 63, but ranged from 45 to 82. 

    The results showed that both men and women with increased levels of abdominal fat and visceral adipose tissue had lower brain grey matter volume.   

    High cardiovascular risk and obesity led to a gradual loss of brain volume over several decades, said the researchers.  

    The team thus stressed the need to target “modifiable cardiovascular risk factors, including obesity,” to treat or prevent neurodegenerative diseases, like Alzheimer’s.  

    The study also emphasises “the importance of aggressively targeting cardiovascular risk factors before the age of 55 years to prevent neurodegeneration and Alzheimer’s disease”. These may also prevent other cardiovascular events, such as myocardial infarction [heart attack] and stroke”. 

    While the study is observational and no firm conclusions can be drawn, targeting cardiovascular risk and obesity early may be crucial.  

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