Global Editions

Algorithm provides customized caffeine strategy for mental alertness

The tool allows consumers to optimize beneficial effects of caffeine while minimizing its consumption
by TR Pakistan

A web-based caffeine optimization tool successfully designs effective strategies to maximize alertness while avoiding excessive caffeine consumption, according to preliminary results from a new study published in an online supplement of the journal Sleep on April 12, 2019.

Using multiple sleep-deprivation and shift-work scenarios, the researchers generated caffeine-consumption guidance using the open-access tool 2B-Alert Web 2.0, and then they compared the results with the U.S. Army guidelines. Their analysis found that the solutions suggested by the quantitative caffeine optimization tool either required on average 40 percent less caffeine or enhanced alertness by an additional 40 percent.

“Our 2B-Alert Web tool allows an individual, in our case our service members, to optimize the beneficial effects of caffeine while minimizing its consumption,” said principal investigator Dr. Jaques Reifman, a Department of the Army Senior Research Scientist for Advanced Medical Technology, in a press release.

Read more: Blue Light From Electronic Devices Disrupts Our Night Sleep but There Are Remedies

According to the authors of the study, caffeine is the most widely consumed stimulant to counter the effects of sleep deprivation on alertness. However, to be safe and most effective, the right amount must be consumed at the right time.

Last year at SLEEP, a premier world forum to present and discuss the latest developments in clinical sleep medicine and sleep and circadian science, Reifman presented data comparing the algorithm with the caffeine dosing strategies of four previously published experimental studies of sleep loss. The current study extended his team’s previous work by incorporating the automated caffeine-guidance algorithm in an open-access tool so that users can input several factors: the desirable peak-alertness periods within a sleep/wake schedule, the minimum desirable level of alertness, and the maximum tolerable daily caffeine intake.

With this added capability, the web-based tool now allows users to predict the alertness of an “average” individual as a function of his or her sleep/wake schedule and caffeine schedule. It also enables users to automatically obtain optimal caffeine timing and doses to achieve peak alertness at the desired times.

In a statement, Reifman said that the freely available tool will have practical applications that extend beyond the realms of the military and the research lab.

“For example, if you pull an all-nighter, need to be at peak alertness between, say, 9 a.m. and 5 p.m., and desire to consume as little caffeine as possible, when and how much caffeine should you consume?” he said. “This is the type of question 2B-Alert was designed to answer.”

The research will be presented on Wednesday, June 12, in San Antonio at SLEEP 2019, the 33rd annual meeting of the Associated Professional Sleep Societies LLC, a joint venture of the American Academy of Sleep Medicine and the Sleep Research Society.

Authors
Top