Long-Term Time Logging

Now that I’ve been food logging for 15+ weeks straight, the simple practice of writing down what I eat each day has made me want to revisit another practice: time logging.

I’ve done time logging before and have found it useful, but I don’t think I’ve ever done it for more than a week or two at a stretch.

On a short-term basis like a few days or a week, time logging is good for doing a quick recalibration. You may notice some areas where you’re wasting time, which will become glaringly obvious in the first day or two of logging. But what about the subtler issues that may not show up during that time?

Even after 105+ days of food logging, I’m still maintaining the habit. As you might guess there are diminishing returns, so the insights I’m learning now are more subtle than what I figured out during the first few weeks.

The main reason I’m still food logging is that the habit itself is beneficial, and since it’s so habitualized now, it would be harder to stop than to continue. I do it by default without thinking about it. Since maintaining the habit is still yielding positive effects, like helping me optimize how I eat and losing weight with ease, it’s a no-brainer to keep it going. So it’s not just about what I learn from the logs. The logging practice helps me stay on track and apply what I’ve learned.

This makes me extra curious about time logging. Of course it’s beneficial over the span of a few days, but what if I maintained a daily time long for 100+ days in a row? I can see how that could be very beneficial.

I’d surely still be discovering more insights after 10+ weeks. Maybe they’d be pretty minor by that time, but it wouldn’t be entirely worthless to go that long just for the learning experience.

But I think the best gains wouldn’t come from discovering new areas of improvement but from the ongoing daily awareness. If I keep logging day after day and week after week, I always have to face the data. There’s no way to return to blissful ignorance, like I could do with a short-term trial. So I expect this would improve my ability to apply what I learn more consistently. The daily logs could serve as rails to keep me on track.

Imagine time logging for a week and then stopping. You might see that you wasted a lot of time on unproductive activities that week. Then you could end the experiment by telling yourself, “Okay, I see what I need to fix.” But did you actually fix it afterwards? How long did your fix last? Or did you just continue the same habits afterwards and shove the awareness of that problem into a back corner of your mind?

It’s a very different situation when you make this level of awareness inescapable. Every day you must face it with no ability to escape it. If you take a minute or two to review your logs at the end of each day, it’s going to generate a reaction within you, such as a feeling of accomplishment or disappointment. That’s a good form of personal accountability.

Even if your tracking commitment is temporary, it could help you create a meaningful change in your habits (and your results) if you maintain the habit long enough. You could also lean in with a 30-day commitment and then extend it as long as you like the results.

I like this idea in principle, but tracking all of my time feels like a lot more work than tracking what I eat. When I did time logging in the past, it could feel burdensome or invasive, and my logs were a bit hard to decipher afterwards. That’s because I’d update the log whenever I switched activities. So the intervals between entries would differ from day to day. I’d have to review them in more detail afterwards, figuring out how much time I actually spent on various activities. I don’t favor this style of logging for a long-term approach.

I’ve also tried some time tracking apps. They always sound good in principle but suck in practice. I feel like they get in my way more than help me. Some people seem to like them, but I always find that the added complexity of trying to remember how to use them isn’t worth the pretty charts and graphs.

In Conscious Growth Club, we do a themed 30-day group challenge at the start of each month. I believe next month’s theme has to do with sparking joy, so anyone who wants to do the challenge gets to pick a daily activity that they believe will spark joy for them. Then the challenge is to do that activity every day for 30 days in a row.

I often like doing these challenges, but I felt out of sync with this one since I didn’t feel that time logging fit the theme. That’s when I realized that maybe it should fit the theme. I thought that if this habit doesn’t spark joy, maybe my approach is wrong.

Food logging sparks joy for me. I like doing it each day, and I feel no resistance to it at all. It’s like a mini-game that I play each day. It’s satisfying to review the completed puzzle of what I’ve eaten each day and to see what I did right and what could be improved.

This encouraged me to tweak the way I do time logging to make it spark joy for me.

If I’m going to do daily time logging for at least a month and possibly many months in a row, it has to be easy. I can’t feel like it’s disrupting my normal workflow or getting in my way. This means it should not require a lot of writing. I don’t want to fuss with specialized apps. The logs should be short enough that I can review each day at a glance and see where my time went. If I’m spending 30 minutes a day recording entries and reviewing them afterwards, that would be way too much.

I usually spend no more than 5 minutes per day to maintain my food log. With time logging I’m willing to go up to 10 minutes a day, but not more than that, including the time I spend reviewing the logs.

I don’t need to be super granular. It doesn’t matter when I go to the bathroom or how many minutes I spend on emails. I want to focus on the broad strokes first.

My old time logging approach would look like this:

5:00a Get up, brush teeth, dress, get water
5:15 Go running
6:15 Walk in park
6:25 Shower, dress
6:35 Make breakfast, eat
7:00 Blogging
...

But for my new approach I want to try something like this:

5 - Run
6 - Eat
7 - Blog
...

So it’s much simpler and quicker but at the expense of detail. I’ll just have one entry per hour, which would be 17 lines total in a typical day for me, depending on when I go to bed. That fits nicely in a small notebook, as long as it has at least 17 lines per page.

If I forget to record an hour or two, I can update the log afterwards since it will be in my recent memory.

If I want to do more detailed logging for some parts of the day, I can still do that, but I won’t make that part of the baseline habit. I can always be more detailed when I feel like it. Some weeks I might focus more closely on certain parts of my day, like optimizing my morning routine. I like this level of flexibility.

The exact borders between one activity and the next don’t matter that much to me. Whether I spend 75 or 90 minutes on an activity isn’t normally significant.

What I really want to know is where the bulk of my time is going. I want answers to questions like these:

  • How much time did I invest in creative work this week?
  • How much effort did I put into marketing this month?
  • Why does it feel like I did (or didn’t) get much done this week?
  • Am I spending enough couple time with Rachelle?
  • Am I connecting with friends as much as I’d like?
  • Are there better ways to spend my evenings?
  • Which days do I feel best/worst about? Why?
  • Which activities have I been neglecting?
  • If I want more time for some type of activity, what could I do less of?
  • Am I taking enough time off?
  • What are the best ways to spend my time off?
  • Which activities sharpen the saw for me?

So it’s the big-picture balance that I want to work on here. That’s more important to me than making low-level tweaks right now.

I liked this idea enough that I figured, why wait? So instead of starting on September 1st, I started yesterday morning.

Within Conscious Growth Club, I can still frame this as a 30-day challenge for September since this way of time logging does spark joy for me. I’m excited for what I’ll learn from it and how it will help me improve.

I’ll probably go considerably longer than 30 days if I can keep this low-maintenance while still being useful. I approached food logging with an open-ended attitude when I started, so I think I’ll use the same mindset here.

I’m also wondering where else I could explore daily logging. I’ve done many variations of this in the past, but so far food logging and time logging have been the most interesting. I could see real potential in doing some sort of social logging or perhaps logging of Internet usage, although time logging will cover that to some extent.

Have you tried time logging before? What’s the longest you’ve ever done it? Wanna join me for a 30-day challenge, starting September 1st?

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Coronavirus: Schools could go part-time and year-group bubbles be sent home

Contingency plans include part-time secondaries and whole year-groups sent home where cases confirmed.

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Coronavirus: Children’s role in spread puzzles scientists

A study from South Korea gives among the clearest pictures yet of children as carriers of the virus.

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Study finds that sleep restriction amplifies anger

Feeling angry these days? New research suggests that a good night of sleep may be just what you need.

This program of research comprised an analysis of diaries and lab experiments. The researchers analyzed daily diary entries from 202 college students, who tracked their sleep, daily stressors, and anger over one month. Preliminary results show that individuals reported experiencing more anger on days following less sleep than usual for them.

The research team also conducted a lab experiment involving 147 community residents. Participants were randomly assigned either to maintain their regular sleep schedule or to restrict their sleep at home by about five hours across two nights. Following this manipulation, anger was assessed during exposure to irritating noise.

The experiment found that well-slept individuals adapted to noise and reported less anger after two days. In contrast, sleep-restricted individuals exhibited higher and increased anger in response to aversive noise, suggesting that losing sleep undermined emotional adaptation to frustrating circumstance. Subjective sleepiness accounted for most of the experimental effect of sleep loss on anger. A related experiment in which individuals reported anger following an online competitive game found similar results.

“The results are important because they provide strong causal evidence that sleep restriction increases anger and increases frustration over time,” said Zlatan Krizan, who has a doctorate in personality and social psychology and is a professor of psychology at Iowa State University in Ames, Iowa. “Moreover, the results from the daily diary study suggest such effects translate to everyday life, as young adults reported more anger in the afternoon on days they slept less.”

The authors noted that the findings highlight the importance of considering specific emotional reactions such as anger and their regulation in the context of sleep disruption.

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Materials provided by American Academy of Sleep Medicine. Note: Content may be edited for style and length.

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Look beyond opioids to solve national substance use epidemic

Overcoming the nation’s opioid epidemic will require clinicians to look beyond opioids, new research from Oregon Health & Science University suggests.

The study reveals that among patients who participated in an in-hospital addiction medicine intervention at OHSU, three-quarters came into the hospital using more than one substance. Overall, participants used fewer substances in the months after working with the hospital-based addictions team than before.

The study published in the Journal of Substance Abuse Treatment.

“We found that polysubstance use is the norm,” said lead author Caroline King, M.P.H., a health systems researcher and current M.D./Ph.D. student in the OHSU School of Medicine’s biomedical engineering program. “This is important because we may need to offer additional support to patients using multiple drugs. If someone with opioid use disorder also uses alcohol or methamphetamines, we miss caring for the whole person by focusing only on their opioid use.”

About 40% of participants reported they had abstained from using at least one substance at least a month after discharge — a measure of success that isn’t typically tracked in health system record-keeping.

Researchers enrolled 486 people seen by an addiction medicine consult service while hospitalized at OHSU Hospital between 2015 and 2018, surveying them early during their stay in the hospital and then again 30 to 90 days after discharge.

Treatment of opioid use disorder can involve medication such as buprenorphine, or Suboxone, which normalizes brain function by acting on the same target in the brain as prescription opioids or heroin.

However, focusing only on the opioid addiction may not adequately address the complexity of each patient.

“Methamphetamine use in many parts of the U.S., including Oregon, is prominent right now,” said senior author Honora Englander, M.D., associate professor of medicine (hospital medicine) in the OHSU School of Medicine. “If people are using stimulants and opioids — and we only talk about their opioid use — there are independent harms from stimulant use combined with opioids. People may be using methamphetamines for different reasons than they use opioids.”

Englander leads the in-hospital addiction service, known as Project IMPACT, or Improving Addiction Care Team.

The initiative brings together physicians, social workers, peer-recovery mentors and community addiction providers to address addiction when patients are admitted to the hospital. Since its inception in 2015, the program has served more than 1,950 people hospitalized at OHSU.

The national opioid epidemic spiraled out of control following widespread prescribing of powerful pain medications beginning in the 1990s. Since then, it has often been viewed as a public health crisis afflicting rural, suburban and affluent communities that are largely white.

Englander said the new study suggests that a singular focus on opioids may cause clinicians to overlook complexity of issues facing many populations, including people of color, who may also use other substances.

“Centering on opioids centers on whiteness,” Englander said. “Understanding the complexity of people’s substance use patterns is really important to honoring their experience and developing systems that support their needs.”

Researchers say the finding further reinforces earlier research showing that hospitalization is an important time to offer treatment to people with substance use disorder, even if they are not seeking treatment for addiction when they come to the hospital.

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Materials provided by Oregon Health & Science University. Original written by Erik Robinson. Note: Content may be edited for style and length.

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Natural disasters must be unusual or deadly to prompt local climate policy change

Natural disasters alone are not enough to motivate local communities to engage in climate change mitigation or adaptation, a new study from Oregon State University found.

Rather, policy change in response to extreme weather events appears to depend on a combination of factors, including fatalities, sustained media coverage, the unusualness of the event and the political makeup of the community.

Climate scientists predict that the frequency and severity of extreme weather events will only continue to increase in coming decades. OSU researchers wanted to understand how local communities are reacting.

“There’s obviously national and state-level climate change policy, but we’re really interested in what goes on at the local level to adapt to these changes,” said lead author Leanne Giordono, a post-doctoral researcher in OSU’s College of Public Health and Human Sciences. “Local communities are typically the first to respond to extreme events and disasters. How are they making themselves more resilient — for example, how are they adapting to more frequent flooding or intense heat?”

For the study, which was funded by the National Science Foundation, Giordono and co-authors Hilary Boudet of OSU’s College of Liberal Arts and Alexander Gard-Murray at Harvard University examined 15 extreme weather events that occurred around the U.S. between March 2012 and June 2017, and any subsequent local climate policy change.

These events included flooding, winter weather, extreme heat, tornadoes, wildfires and a landslide.

The study, published recently in the journal Policy Sciences, found there were two “recipes” for local policy change after an extreme weather event.

“For both recipes, experiencing a high-impact event — one with many deaths or a presidential disaster declaration — is a necessary condition for future-oriented policy adoption,” Giordono said.

In addition to a high death toll, the first recipe consisted of Democrat-leaning communities where there was focused media coverage of the weather event. These communities moved forward with adopting policies aimed at adapting in response to future climate change, such as building emergency preparedness and risk management capacity.

The second recipe consisted of Republican-leaning communities with past experiences of other uncommon weather events. In these locales, residents often didn’t engage directly in conversation about climate change but still worked on policies meant to prepare their communities for future disasters.

In both recipes, policy changes were fairly modest and reactive, such as building fire breaks, levees or community tornado shelters. Giordono referred to these as “instrumental” policy changes.

“As opposed to being driven by ideology or a shift in thought process, it’s more a means to an end,” she said. “‘We don’t want anyone else to die from tornadoes, so we build a shelter.’ It’s not typically a systemic response to global climate change.”

In their sample, the researchers didn’t find any evidence of mitigation-focused policy response, such as communities passing laws to limit carbon emissions or require a shift to solar power. And some communities did not make any policy changes at all in the wake of extreme weather.

The researchers suggest that in communities that are ideologically resistant to talking about climate change, it may be more effective to frame these policy conversations in other ways, such as people’s commitment to their community or the community’s long-term viability.

Without specifically examining communities that have not experienced extreme weather events, the researchers cannot speak to the status of their policy change, but Giordono said it is a question for future study.

“In some ways, it’s not surprising that you see communities that have these really devastating events responding to them,” Giordono said. “What about the vast majority of communities that don’t experience a high-impact event — is there a way to also spark interest in those communities?”

“We don’t want people to have to experience these types of disasters to make changes.”

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Coronavirus: Winter plans revealed in leaked Sage report

A leaked government report suggests a “reasonable worst case scenario” of 85,000 Covid deaths this winter.

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Researchers dramatically downsize technology for fingerprinting drugs and other chemicals

As new infectious diseases emerge and spread, one of the best shots against novel pathogens is finding new medicines or vaccines. But before drugs can be used as potential cures, they have to be painstakingly screened for composition, safety and purity, among other things. Thus, there is an increasing demand for technologies that can characterize chemical compounds quickly and in real time.

Addressing this unmet need, researchers at Texas A&M University have now invented a new technology that can drastically downsize the apparatus used for Raman spectroscopy, a well-known technique that uses light to identify the molecular makeup of compounds.

“Raman benchtop setups can be up to a meter long depending on the level of spectroscopic resolution needed,” said Dr. Pao-Tai Lin, assistant professor in the Department of Electrical and Computer Engineering and the Department of Materials Science and Engineering. “We have designed a system that can potentially replace these bulky benchtops with a tiny photonic chip that can snugly fit within the tip of a finger.”

In addition, Lin said that their innovative photonic device is also capable of high-throughput, real-time chemical characterization and despite its size, is at least 10 times more sensitive than conventional benchtop Raman spectroscopy systems.

A description of their study is in the May issue of the journal Analytical Chemistry.

The basis of Raman spectroscopy is the scattering of light by molecules. When hit by light of a certain frequency, molecules perform a dance, rotating and vibrating upon absorbing the energy from the incident beam. When they lose their excess energy, molecules emit a lower-energy light, which is characteristic of their shape and size. This scattered light, known as the Raman spectra, contains the fingerprints of the molecules within a sample.

Typical benchtops for Raman spectroscopy contain an assortment of optical instruments, including lenses and gratings, for manipulating light. These “free-space” optical components take a lot of space and are a barrier for many applications where chemical sensing is required within tiny spaces or locations that are hard to reach. Also, benchtops can be prohibitive for real-time chemical characterization.

As an alternative to traditional lab-based benchtop systems, Lin and his team turned to tube-like conduits, called waveguides, that can transport light with very little loss of energy. While many materials can be used to make ultrathin waveguides, the researchers chose a material called aluminum nitride since it produces a low Raman background signal and is less likely to interfere with the Raman signal coming from a test sample of interest.

To create the optical waveguide, the researchers employed a technique used by industry for drawing circuit patterns on silicon wafers. First, using ultraviolet light, they spun a light-sensitive material, called NR9, onto a surface made of silica. Next, by using ionized gas molecules, they bombarded and coated aluminum nitride along the pattern formed by the NR9. Finally, they washed the assembly with acetone, leaving behind an aluminum waveguide that was just tens of microns in diameter.

For testing the optical waveguide as a Raman sensor, the research team transported a laser beam through the aluminum nitride waveguide and illuminated a test sample containing a mixture of organic molecules. Upon examining the scattered light, the researchers found that they could discern each type of molecule within the sample based on the Raman spectra and with a sensitivity of at least 10 times more than traditional Raman benchtops.

Lin noted since their optical waveguides have very fine width, many of them can be loaded onto a single photonic chip. This architecture, he said, is very conducive to high-throughput, real-time chemical sensing needed for drug development.

“Our optical waveguide design provides a novel platform for monitoring the chemical composition of compounds quickly, reliably and continuously. Also, these waveguides can be easily manufactured at an industrial scale by leveraging the already existing techniques to make semiconductor devices,” said Lin. “This technology, we believe, has a direct benefit for not just pharmaceutical industries but even for other industries, like petroleum, where our sensors can be put along underground pipes to monitor the composition of hydrocarbons.”

Other contributors to this research are Megan Makela from the Department of Materials Science and Engineering; and Paul Gordon, Dandan Tu, Cyril Soliman, Dr. Gerard Coté and Dr. Kristen Maitland from the Department of Biomedical Engineering.

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Grain-Free, Legume-Free, Sugar-Free Experiment

For the month of August, I’ve been doing a new dietary experiment. I’m eating grain-free, legume-free, and sugar-free. I’m doing this mainly out of curiosity to see what effect it has. I think I’m far enough along (about four weeks) that this would be a good time to share what I’ve learned.

The biggest adjustment was switching some common food sources, especially carbs. Instead of brown rice or rice noodles, I’ve been eating more potatoes, sweet potatoes, and starchy squash. Instead of beans or tofu, I’m eating more fruit, nuts, and veggies.

While I’ve removed refined sugar sources like coconut sugar and maple syrup, I’m still having some sweet fruit, including bananas, berries, and peaches. I’m allowing but limiting dried fruits, so I normally won’t eat more than 2-3 dates in a day.

This was a fairly modest adjustment. I still like all the foods I get to eat, so it doesn’t feel like a sacrifice. I just focus on a different subset of the wide range of foods I like. One favorite meal I’ve been eating more often is a big plate of roasted potatoes, red peppers, and sweet onions.

I’ve also been eating a lot of salads. One of my favorites includes romaine or mixed greens, shredded cabbage, cherry tomatoes, cucumber, avocado, 10g olive oil, 24g balsamic vinegar, and a sprinkling of seasoning (nori, kelp, sesame seeds). I often eat this with some olives on the side.

I haven’t noticed too much difference in terms of mental and physical differences, but there is some.

The main difference is that I feel less hungry for much of the day, especially between meals. I’m eating slightly less because of that, but most days I’m still coming in between 2000 and 2200 calories. At first I felt some cravings for certain foods, like a rice bowl, but those went away after the first week.

Exercise-wise I haven’t noticed any meaningful difference. I like to begin most days with a 5-mile run, and my runs have felt about the same this month. If there’s a difference one way or another from this dietary change, it’s too minor to detect. Or it’s possible it may take longer for there to be enough of a difference to notice.

The main effect I do notice on my runs is that if I don’t eat enough on the previous day, I feel more tired and sluggish during my run the next morning. So if I only eat 1800 or 1850 calories instead of 2000+, I feel less energetic the next day when I go running. Running feels a bit harder, especially when going uphill. That’s true even if I have a big dinner the previous day; the day’s total calories matters more than the size of the previous meal. So even if I don’t feel hungry enough to need those extra calories, I find it best to eat at least 2000 calories per day. I also experienced this same effect before doing this dietary experiment, but with this different way of eating, it’s easier for me to feel satisfied on fewer calories, so I’ve “run” into this issue more often this month.

I also notice a difference in mental performance if I eat too little. Some days I’ve felt a little mentally sluggish and then observed that I haven’t been eating enough relative to the time of day. So I’ll eat some more food, maybe 200 calories if I just want a snack, and this helps my mind feel sharper. It’s been interesting to observe this connection between food intake and mental performance. Multiple times I’ve made the mistake of eating too little, but I didn’t notice that I wasn’t eating enough till I tried to do some mental work and felt unmotivated to do it. Fixing the problem is as easy as eating some fruit or nuts.

Emotionally I haven’t noticed any discernible difference. I normally feel emotionally stable and positive, and I don’t sense any changes in that area this month. When I eat 100% raw, I notice a significant improvement in mood within the first few days, but that hasn’t happened with this diet.

After about four weeks of this dietary experiment, I feel the benefits are relatively modest, given the trade-off of narrowing my food choices. I do like that this different way of eating has encouraged me to explore different meal options, like the peach bowl I shared yesterday (which I had again this morning). I’ll at least finish off the full month, but I’m not seeing enough benefits to warrant a long-term change here.

I am curious, however, if the reduction in hunger between meals is due to removing grains, legumes, sugar, or some combo of those. So I may try reintroducing some foods slowly next month to see if I can gain more awareness there. You may have your guesses, as do I, but I gain the best insights from seeing how my body and mind actually respond, which often doesn’t match people’s predictions.

In terms of results, tweaking which plant foods I eat doesn’t seem like nearly as big of a deal as getting all animal products out of my diet. That was the most important step, especially given the long-term mental and emotional gains, many of which were very noticeable in the first week or two. The biggest deal beyond that was to eat 100% raw for a while.

I’ve continued to lose weight this month (I lost another 5.8 pounds during the 4 weeks of this experiment), so this diet hasn’t interfered with that. I have been losing weight a bit faster this month than before, but it’s hard to say if that’s significant. I think it’s too little time to know for sure.

I’m still keeping a food log of everything I eat, and that simple habit alone has made it really easy to lose weight. I’ve been doing daily food logging for 15 weeks now, and I’ve lost 18.8 pounds in that time, which is an average of 1.25 pounds per week. This has felt practically effortless. Just taking a few minutes per day to write down what I eat has raised my awareness of exactly how much I’m eating each day.

Food logging has been such a nice tool for raising awareness that it’s creating results without my having to deliberately do anything more. It’s very different doing it for 15 weeks in a row versus doing it for only a few days or a week. I intend to maintain this tracking habit at least through the rest of the year because I’m still learning from it, and it really is super easy to keep doing it after 105 days of consistency. Another 100+ days seems like a breeze.

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A coffee and catnap keep you sharp on the nightshift, study suggests

A simple coffee and a quick catnap could be the cure for staying alert on the nightshift as new research from the University of South Australia shows that this unlikely combination can improve attention and reduce sleep inertia.

In Australia, more than 1.4 million people are employed in shift work, with more than 200,000 regularly working night or evening shifts.

Lead researcher, Dr Stephanie Centofanti from UniSA Online and the Sleep and Chronobiology Laboratory at UniSA says the finding could help counteract the kind of sleep inertia that is experienced by many shiftworkers.

“Shift workers are often chronically sleep-deprived because they have disrupted and irregular sleep patterns,” Dr Centofanti says.

“As a result, they commonly use a range of strategies to try to boost their alertness while on the nightshift, and these can include taking power naps and drinking coffee — yet it’s important to understand that there are disadvantages for both.

“Many workers nap during a night shift because they get so tired. But the downside is that they can experience ‘sleep inertia’ — that grogginess you have just after you wake up — and this can impair their performance and mood for up to an hour after their nap.

“Caffeine is also used by many people to stay awake and alert. But again, if you have too much coffee it can harm your overall sleep and health. And, if you use it to perk you up after a nap, it can take a good 20-30 minutes to kick in, so there’s a significant time delay before you feel the desired effect.

“A ‘caffeine-nap’ (or ‘caff-nap’) could be a viable alternative — by drinking a coffee before taking a nap, shiftworkers can gain the benefits of a 20-30-minute nap then the perk of the caffeine when they wake. It’s a win-win.”

The small pilot study tested the impact of 200 mg of caffeine (equivalent to 1-2 regular cups of coffee) consumed by participants just before a 3.30am 30-minute nap, comparing results with a group that took a placebo.

Participants taking a ‘caffeine-nap’ showed marked improvements in both performance and alertness, indicating the potential of a ‘caffeine-nap’ to counteract sleep grogginess.

Dr Centofanti says this shows a promising fatigue countermeasure for shift workers. She says the next move is to test the new finding on more people.

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Materials provided by University of South Australia. Note: Content may be edited for style and length.

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