Tag: health

  • 8 Best Sleep Trackers (2024): Expert Tips and Research

    8 Best Sleep Trackers (2024): Expert Tips and Research

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    Sleep Routine: Tracker & Alarm for $7/month or $60/year (iOS/Android): You don’t necessarily need a new gadget, because there are several sleep-tracking apps. I tested Sleep Routine on my iPhone 14 Pro. The app provides a report for each night, breaking your sleep into awake, light, deep, and REM. The results seemed accurate and broadly matched the Ultrahuman Ring Air. You can add notes to help it better understand your sleep, and it builds a sleep pattern analysis and shows your statistics over time. The smart alarm function wakes you gently. You can try Sleep Routine for a week before you need to subscribe. The problem? The app can be a bit wonky. A couple of times in a week, I got an error message in the morning with no report or a very short recorded sleep. Annoyingly, there was no indication of why it failed.

    Withings ScanWatch 2 for $350: Wear the Withings ScanWatch 2 (7/10, WIRED recommends) to bed and you will get a sleep score out of 100 in the morning. It covers the same four stages as other trackers (awake, REM, light, and deep) but boasts a PPG sensor for measuring your respiratory rate. It can also track your heart rate, temperature, and blood oxygen levels. The ScanWatch 2 provides a wealth of data and advice in the Withings app. But some folks may find it bulky and uncomfortable for sleep, and it had problems distinguishing between light sleep and when I was lying awake in bed.

    Google Nest Hub 2nd Gen for $79: The second-generation Nest Hub uses radar to track your sleep, which means you don’t need to wear anything, but it also has a microphone to track snoring, sleep talking, and other nocturnal sounds. I love the Nest Hub on my nightstand for smart home controls, family photos, and listening to sleep sounds or podcasts in bed, but the sleep tracking consistently overestimated my REM phases and missed periods of wakefulness that other trackers recorded. When I used multiple trackers simultaneously, the Nest Hub was the outlier.

    Muse S Gen 2 Headband for $400: This headband has sensors capable of tracking your brain activity, similar to an electroencephalogram (EEG), alongside an accelerometer and gyroscope, and a PPG sensor to measure heart rate and blood circulation. It’s chiefly a meditation aid designed to help you relax, but it can also track your sleep, recording your heart rate, respiration, time to fall asleep, and how much you moved around to give you an overall sleep score. Sadly, I found it uncomfortable to wear and often woke to discover the sleep tracking had failed, usually because I’d removed it at night. It’s also far too expensive.

    Kokoon Nightbuds for $285: While combining earbuds with sleep tracking is a smart idea, wearing the Nightbuds made it harder for me to fall asleep. These tiny earbuds plug into a curved control unit designed to sit on the back of your head, and they’re relatively comfy since everything is covered in pliable silicone. The companion app plays meditations, soothing sounds, and sleep stories to help you drop off or drown out a snoring partner. You can also connect via Bluetooth to play your own content. The sleep tracking is limited, showing the familiar four phases, sleep efficiency, and consistency, but I often woke to find they had come off during the night and cut my sleep tracking short. I am about to test the Philips Sleep Headphones, but they appear to be a rebranded version of these.

    Biostrap Kairos for $900: This lightweight wrist-worn band has a PPG sensor and accelerometer to track your heart rate, respiration, and HRV. It tracks sleep broken into awake, light, and deep sleep (REM will be added soon), and combines your biometrics to give you a sleep score. It also surveys you each morning on sleep quality, and how refreshed you feel, plus asks about how you felt when you woke and before you went to sleep. It seems quite accurate, but it’s designed for researchers, medical staff, and organizations looking to monitor employee health or study the impact of new services or products, so it’s unavailable for most folks to buy.

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  • Eight Sleep Pod 3 Cover Review: Sleep Well

    Eight Sleep Pod 3 Cover Review: Sleep Well

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    With celebrity endorsements from Elon Musk and Danny Green generating plenty of biohacking buzz, you may have heard of Eight Sleep’s Pod 3 Cover. It’s a mattress cover that can heat or cool your bed to help you sleep better. You can tweak the temperature in the Eight Sleep app or have the autopilot mode adjust it automatically, and the Pod 3 can provide in-depth, accurate sleep tracking.

    To unlock the smarts of this system, including autopilot and sleep tracking, you need an expensive subscription (from $15 per month), and that’s on top of the astronomical asking price (from $2,045). The UK Super King cover I tested costs £2,495 (around $3,175), which is far more than I could ever justify spending on a gadget like this. (The US equivalent is a Queen, roughly $2,145.)

    High prices and billionaire endorsements are a turn-off for me, so I approached the Eight Sleep Pod 3 with a healthy dose of skepticism. Turns out rich people have nice things. Closing in on a month with the Pod 3, I’m a grudging convert. It is far too expensive, and I don’t need another subscription in my life; not to mention there are some quirks I’m not keen on. But my wife and I have both been sleeping better, and that kind of trumps everything else.

    Make Your Bed

    The Eight Sleep Pod 3 is a thick mattress cover with a network of rubber tubing inside and a soft, plush black material on top. It is elasticized for a snug fit on your mattress, but I’d advise enlisting some help to fit it. There’s a sticker to ensure you put it on the right way around with the connectors at the top. The brushed fleece top is soft, and I found the cover very comfortable. It doesn’t feel as though it’s filled with tubes with sensors.

    Dark grey mattress cover with white 8 sitting on light wood bedframe with white pillow in topright corner

    Photograph: Simon Hill

    A device that resembles a desktop PC with a big 8 on the front connects to the cover via a double tube. I slipped mine next to my bedside cabinet. This unit is the brains of the operation, with a quad-core CPU inside, and it pumps chilled or heated water through the mattress cover.

    Hooking up the app and Wi-Fi was a five-minute job; the app walks you through every step. The first time you set it up, you need to fill the Pod 3 with water. A cylinder slides out of the top with a clear fill line. You have to do this a couple of times, and it takes around 90 minutes after each fill to pump the water into the system and calibrate, so don’t start the installation right before bedtime.

    The cover has two distinct sides, so your partner can configure different settings, which is ideal if one of you runs cold and the other warm. It was easy to invite my wife from the app, so we could both control the Pod 3 from our phones. It took maybe four hours to prime the system, but most of that was waiting.

    Logging Some Z’s

    On my first night with the Pod 3 Cover, I slept like a log. My sleep score was 100. Like, actually 100. I fell asleep in less than five minutes and got seven hours and 55 minutes of blissful slumber. I woke refreshed and bounded out of bed, ready to tackle the day. This is rare for me. I usually take up to an hour to drop off and frequently wake through the night. But this auspicious start was not to last.

    Dark grey mattress on light wooden bedframe. Black towershaped device placed on the floor between the bed and nightstand.

    Photograph: Simon Hill

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  • Welcome to the Valley of the Creepy AI Dolls

    Welcome to the Valley of the Creepy AI Dolls

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    Jibo Camera

    Social robot roommate Jibo initially caused a stir, but sadly didn’t live long.

    Photograph: Jibo

    Not that there haven’t been an array of other attempts. Jibo, a social robot roommate that used AI and endearing gestures to bond with its owners had its collective plug unceremoniously pulled just a few years after being put out into the world. Meanwhile, another US-grown offering, Moxie, an AI-empowered robot aimed at helping with child development, is still active.

    It’s hard not to look at devices like this and shudder at the possibilities. There’s something inherently disturbing about tech that plays at being human, and that uncanny deception can rub people the wrong way. After all, our science fiction is replete with AI beings, many of them tales of artificial intelligence gone horribly wrong. The easy, and admittedly lazy, comparison to something like the Hyodol is M3GAN, the 2023 film about an AI-enabled companion doll that goes full murderbot.

    But aside from offputting dolls, social robots come in many forms. They’re assistants, pets, retail workers, and often socially inept weirdos that just kind of hover awkwardly in public. But they’re also sometimes weapons, spies, and cops. It’s with good reason that people are suspicious of these automatons, whether they come in a fluffy package or not.

    Wendy Moyle is a professor at the School of Nursing & Midwifery Griffith University in Australia who works with patients experiencing dementia. She says her work with social robots has angered people, who sometimes see giving robot dolls to older adults as infantilizing.

    “When I first started using robots, I had a lot of negative feedback, even from staff,” Moyle says. “I would present at conferences and have people throw things at me because they felt that this was inhuman.”

    However, the atmosphere around assistive robots has gotten less hostile recently, as they’ve been utilized in many positive use cases. Robotic companions are bringing joy to people with dementia. During the Covid pandemic, caretakers used robotic companions like Paro, a small robot meant to look like a baby harp seal, to help ease loneliness in older adults. Hyodol’s smiling dolls, whether you see them as sickly or sweet, are meant to evoke a similar friendly response.

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  • Stop Misunderstanding the Gender Health Gap

    Stop Misunderstanding the Gender Health Gap

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    Well, if weight here is being used as a proxy for sex or gender, a larger woman would need the higher dose; a smaller man a lower dose. So why would you just not use weight as the measure for what dose a person should get? That would be a much more effective way of deciding. But because we collect data along certain lines and not others, then guidelines get written along certain lines and not others.

    To give another example, sometimes women’s pain is not fully appreciated when they come forward. Women are statistically more likely to go to a doctor when in pain compared to a man. But then common myths and assumptions start to emerge: “It’s not that serious.” “She’s being hysterical.”

    So there are lots of things to pick apart here. It’s the picking apart that we often don’t bother with. We just see a difference, and then that gets ascribed to something without us really knowing what the root cause is.

    So how can we get better at picking apart sex differences and sexism to reduce the gender health gap?

    For me, it’s about taking medicine to the next level of investigation, which is at the level of the social determinants of health. Many of the things that kill most of us have a huge social or environmental component. Things like diet, stress, the way that we are treated in society.

    It’s only relatively recently that research started to be done into the impact of sexism and racism on health, and the impact of other social factors. The job that you do, your status as a married person or not, these can also have health outcomes.

    So there’s all these little pieces where research is needed, and it’s an ongoing project. It’s not as though you’ll only do a study once into the effects of being married or being a stay-at-home wife on your health. Because those social factors are always changing.

    Sex and gender is an aspect of this social story. But it’s important to understand where it can be appropriately invoked. Sometimes gender is relevant, sometimes it’s not. Sometimes sex matters, sometimes it doesn’t.

    What’s standing in the way of things getting better?

    Well, research funding agencies are much more interested in looking inside our bodies for explanations for why things are as they are. The outside world is much more difficult to study, because social circumstances are always changing. They can be very different between households, even within households. It’s much harder to collect data on social circumstances.

    But we’re at the stage where we can learn so much from people’s mobile phones tracking their activity. Data is being collected on what people are eating, their movements, how active they are. Eventually we’ll be able to build personalized pictures of people, and stop generalizing about people in groups and assuming that they’re typical of that group, and then understand them as a complex individual.

    Who is making progress on understanding and closing the gender health gap?

    Sarah Richardson’s team at Harvard University—she runs the GenderSci Lab—has done incredible work breaking down the causes of gender health disparities. They’re getting medical researchers to think very carefully about the context of the conditions that they’re investigating.

    The team did brilliant work during the pandemic. At the beginning there were all these very wild claims about gender differences with the virus—for instance, that women were protected because on average they have a stronger immune system. They showed that if you looked at the data this didn’t really hold up. They helped dispel this very pseudoscientific assumption that the virus was hitting all populations uniformly, and helped end the neglect of demographic patterns as a factor in Covid, the kind of jobs that people were doing, who were frontline workers, and so on.

    This work around sex contextualism, as Richardson calls it, is a really compelling model for how to think about sex and gender in research.

    Hear Angela Saini speak at the 10th anniversary of WIRED Health on March 19 at Kings Place, London. Get tickets at health.wired.com.

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  • A 62-Year-Old German Man Got 217 Covid Shots—and Was Totally Fine

    A 62-Year-Old German Man Got 217 Covid Shots—and Was Totally Fine

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    A 62-year-old man in Germany decided to get 217 Covid-19 vaccinations over the course of 29 months —for “private reasons.” But, somewhat surprisingly, he doesn’t seem to have suffered any ill effects from the excessive immunization, according to a newly published case study in The Lancet Infectious Diseases.

    The case is just one person, of course, so the findings can’t be extrapolated to the general population. But, they conflict with a widely held concern among researchers that such overexposure to vaccination could lead to weaker immune response. Some experts have raised this concern in discussions over how frequently people should get Covid-19 booster doses.

    In cases of chronic exposure to a disease-causing germ, “there is an indication that certain types of immune cells, known as T-cells, then become fatigued, leading to them releasing fewer pro-inflammatory messenger substances,” according to co-lead study author Kilian Schober from the Institute of Microbiology – Clinical Microbiology, Immunology and Hygiene. This, along with other effects, can lead to “immune tolerance” that leads to weaker responses that are less effective at fighting off a pathogen, Schober explained in a news release.

    The German man’s extreme history of hypervaccination seemed like a good case to look for evidence of such tolerance and weaker responses. Schober and his colleagues learned of the man’s case through news headlines—officials had opened a fraud investigation against the man, confirming 130 vaccinations over nine months, but no criminal charges were ever filed. “We then contacted him and invited him to undergo various tests in Erlangen [a city in Bavaria],” Schober said. “He was very interested in doing so.” The man then reported an additional 87 vaccinations to the researchers, which in total included eight different vaccine formulations, including updated boosters.

    The researchers were able to collect blood and saliva samples from the man during his 214th to 217th vaccine doses. They compared his immune responses to those of 29 people who had received a standard three-dose series.

    Throughout the dizzying number of vaccines, the man never reported any vaccine side effects, and his clinical testing revealed no abnormalities related to hypervaccination. The researchers conducted a detailed look at his responses to the vaccines, finding that while some aspects of his protection were stronger, on the whole, his immune responses were functionally similar to those from people who had far fewer doses. Vaccine-spurred antibody levels in his blood rose after a new dose but then began declining, similar to what was seen in the controls.

    His antibodies’ ability to neutralize SARS-CoV-2 appeared to be between fivefold and 11-fold higher than in controls, but the researchers noted that this was due to a higher quantity of antibodies, not more potent antibodies. Specific subsets of immune cells, namely B-cells trained against SARS-CoV-2’s spike protein and T effector cells, were elevated compared with controls. But they seemed to function normally. As another type of control, the researchers also looked at the man’s immune response to an unrelated virus, Epstein-Barr, which causes mononucleosis. They found that the unbridled immunizations did not negatively impact responses to that virus, suggesting there were no ill effects on immune responses generally.

    Last, multiple types of testing indicated that the man has never been infected with SARS-CoV-2. But the researchers were cautious to note that this may be due to other precautions the man took beyond getting 217 vaccines.

    “In summary, our case report shows that SARS-CoV-2 hypervaccination did not lead to adverse events and increased the quantity of spike-specific antibodies and T cells without having a strong positive or negative effect on the intrinsic quality of adaptive immune responses,” the authors concluded. “Importantly,” they added, “we do not endorse hypervaccination as a strategy to enhance adaptive immunity.”

    This story originally appeared on Ars Technica.

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  • We should be open about organoid research to avoid a backlash

    We should be open about organoid research to avoid a backlash

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    Research that involves creating “mini-organs” from human cells, including those from fetuses, may leave people uncomfortable – so the best approach is to explain the reasoning behind the work and its potential benefits

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  • A New Headset Aims to Treat Alzheimer’s With Light and Sound

    A New Headset Aims to Treat Alzheimer’s With Light and Sound

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    The company’s study included 74 participants with mild to moderate Alzheimer’s who received either the Cognito stimulation or a sham device that acted as a placebo. Subjects were asked to use the headset for an hour every day for six months.

    Compared with the placebo group, those who got the Cognito stimulation showed a 77 percent slowing in functional decline as measured by a scale that assesses how well Alzheimer’s patients are able to carry out daily activities, such as eating, dressing, and getting around.

    The treatment group also showed a 76 percent slowing in cognitive difficulties compared with placebo, as measured by a test that evaluates orientation, memory, and attention, as well as verbal and written ability.

    Interestingly, the treatment arm also had a 69 percent reduction in brain atrophy, or shrinkage, as measured by MRI, compared with the sham group. In Alzheimer’s, as connections among networks of neurons break down, parts of the brain can start to shrink.

    “By doing it one hour a day, we produced these lasting biological changes,” Kern says. He likens wearing the device once a day to getting regular physical exercise—the brain is being trained, in a way. The downside is people must stay stationary while wearing the device and can’t fall asleep. In Cognito’s study, 85 percent of participants were able to use the device consistently.

    Cognito’s approach is based on research by MIT neuroscientist Li-Huei Tsai, who cofounded the company with another MIT professor, Ed Boyden. Previously, they found that stimulating mice with light and sound at 40 hertz made them perform better on memory tasks and also reduced levels of amyloid—a protein that builds up and forms plaques in the brains of people with Alzheimer’s disease. A new paper in the journal Nature by Tsai, Boyden, and their colleagues explains that it may do this by activating a waste-disposal mechanism in the mice’s brains.

    The accumulation of amyloid has long been the leading theory to explain Alzheimer’s. But in Cognito’s trial, researchers did not find a reduction in amyloid plaques in participants’ brain scans. However, the Cognito trial used a type of brain imaging called positron emission tomography, or PET, which detects dense amyloid plaques. In the MIT team’s new study, Tsai and her colleagues found that stimulation seems to clear a more diffuse type of amyloid that spreads throughout the brain and is not detected by PET scans. She says it’s possible that the stimulation in the Cognito trial had an effect on this type of amyloid, but the company’s current study wasn’t designed to measure that.

    Christopher Weber, director of global science initiatives at the Chicago-based Alzheimer’s Association, is encouraged by the safety of the Cognito device, but says the size of the study was too small to properly test efficacy.

    “Research in this area is still in its early stages, and more studies with larger, diverse cohorts are needed to fully understand the relationship between gamma wave activity and Alzheimer’s, specifically whether restoring or enhancing gamma wave activity could have therapeutic benefits,” Weber says.

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  • Roundtables – Future of Families: How reproductive technology can reverse population decline

    Roundtables – Future of Families: How reproductive technology can reverse population decline

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    Future of Families: How reproductive technology can reverse population decline

    Speakers: Antonio Regalado, Sr Editor of biomedicine and special guest Martín Varsavsky, Founder of Prelude Fertility

    Birth rates have been plummeting in wealthy countries, well below the “replacement” rate. Even in China, a dramatic downturn in the number of babies has officials scrambling, as its population growth turns negative. What’s behind the baby bust and can new reproductive technology reverse the trend? Startup companies are working on ways to reduce the cost of IVF, allow same-sex couples to reproduce, and extend parenthood far later into life.

    Related Coverage

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  • This Is What Your Brain Does When You’re Not Doing Anything

    This Is What Your Brain Does When You’re Not Doing Anything

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    The original version of this story appeared in Quanta Magazine.

    Whenever you’re actively performing a task—say, lifting weights at the gym or taking a hard exam—the parts of your brain required to carry it out become “active” when neurons step up their electrical activity. But is your brain active even when you’re zoning out on the couch?

    The answer, researchers have found, is yes. Over the past two decades they’ve defined what’s known as the default mode network, a collection of seemingly unrelated areas of the brain that activate when you’re not doing much at all. Its discovery has offered insights into how the brain functions outside of well-defined tasks and has also prompted research into the role of brain networks—not just brain regions—in managing our internal experience.

    In the late 20th century, neuroscientists began using new techniques to take images of people’s brains as they performed tasks in scanning machines. As expected, activity in certain brain areas increased during tasks—and to the researchers’ surprise, activity in other brain areas declined simultaneously. The neuroscientists were intrigued that during a wide variety of tasks, the very same brain areas consistently dialed back their activity.

    It was as if these areas had been active when the person wasn’t doing anything, and then turned off when the mind had to concentrate on something external.

    Researchers called these areas “task negative.” When they were first identified, Marcus Raichle, a neurologist at the Washington University School of Medicine in St. Louis, suspected that these task-negative areas play an important role in the resting mind. “This raised the question of ‘What’s baseline brain activity?’” Raichle recalled. In an experiment, he asked people in scanners to close their eyes and simply let their minds wander while he measured their brain activity.

    He found that during rest, when we turn mentally inward, task-negative areas use more energy than the rest of the brain. In a 2001 paper, he dubbed this activity “a default mode of brain function.” Two years later, after generating higher-resolution data, a team from the Stanford University School of Medicine discovered that this task-negative activity defines a coherent network of interacting brain regions, which they called the default mode network.

    The discovery of the default mode network ignited curiosity among neuroscientists about what the brain is doing in the absence of an outward-focused task. Although some researchers believed that the network’s main function was to generate our experience of mind wandering or daydreaming, there were plenty of other conjectures. Maybe it controlled streams of consciousness or activated memories of past experiences. And dysfunction in the default mode network was floated as a potential feature of nearly every psychiatric and neurological disorder, including depression, schizophrenia, and Alzheimer’s disease.

    Since then, a flurry of research into the default mode has complicated that initial understanding. “It’s been very interesting to see the types of different tasks and paradigms that engage the default mode network in the past 20 years,” said Lucina Uddin, a neuroscientist at the University of California, Los Angeles.

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  • Best Theraguns and Other Therabody Tools (2024): Massage Guns, SmartGoggles, and TheraFace

    Best Theraguns and Other Therabody Tools (2024): Massage Guns, SmartGoggles, and TheraFace

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    Theraguns are massage guns, but not all massage guns are Theraguns, even though the name has become synonymous with the category. Therabody, the brand behind the massagers, has evolved beyond muscles and now makes gadgets for soothing your eyes, cramps, and skin. We haven’t tried everything the brand makes, but we have tried a bunch, and these are our favorite tools.

    Theraguns are expensive, but you can get a great massage gun for less. If you’re not married to the brand, see our Best Theragun Alternatives guide. If you decide to get a Theragun, there are accessories available. Most importantly, you can buy foam tips separately, so don’t think you have to buy the Theragun Pro to get the relief you need. Just be sure to check each one’s compatibility.

    Updated February 2024: We now have a separate guide for non-Theragun massage devices. This guide is for all our favorite Therabody tools.

    Julian Chokkattu and Jaina Grey also contributed to this guide.

    Special offer for Gear readers: Get a 1-year subscription to WIRED for $5 ($25 off). This includes unlimited access to WIRED.com and our print magazine (if you’d like). Subscriptions help fund the work we do every day.

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