Wearable technology may predict the negative impacts of drinking: Study

Washington [US], January 28 : A team of researchers measured intoxication with an ankle bracelet that can detect alcohol concentration from imperceptible amounts of sweat.
The study has been published in the 'Alcoholism: Clinical and Experimental Research Journal'.
Penn State's Department of Biobehavioral Health demonstrated how wearable sensors can augment researchers' understanding of when drinking will lead to negative consequences.
Michael Russell, assistant professor of biobehavioral health, led the research project.
"Understanding how much alcohol you have consumed is nuanced," Russell said.
"For example, if Person A drinks a 16-ounce pint of craft beer with a 10 per cent alcohol content, Person B drinks a 12-ounce can of light beer with a 4 per cent alcohol content, and Person C drinks a large mixed drink made with several types of liquor, how many drinks have they all had? What if Person A weighs 110 pounds, Person B 220 pounds, and Person C 185 pounds? Does the answer change?" he added.
"By using wearable technology to predict alcohol-related consequences -- which range from automobile accidents to hangovers to missing work to sexual assault and beyond -- we can begin to prevent alcohol-related consequences. Our research shows that wearable sensors can be used to help people understand when their drinking is becoming risky," he continued.
Sensors that measure alcohol concentration through the skin, known as transdermal alcohol-concentration sensors, provide more data than periodic breathalyzer results or self-reported drinking measurements. Sensors can record a person's peak intoxication level, the rate at which someone becomes intoxicated, and how much alcohol was in their system and for how long.
Additionally, transdermal sensors are less burdensome than other available methods for measuring intoxication. Breathalyzers and blood sample analyses require active cooperation by the person being measured and can be intrusive. Transdermal sensors, however, are passive and unobtrusive, requiring no input from the wearer.
A person's blood alcohol content can be estimated on the skin because 1 per cent of alcohol consumed is excreted in sweat. The concentration of alcohol in sweat is similar to the concentration in blood. This makes transdermal sensors a good alternative to measuring blood alcohol content, which requires a blood draw.
Breathalyzers and transdermal sensors have different applications. Alcohol in sweat is eliminated more slowly than it is through breath. The amount of alcohol in a person's breath is nearly identical to their blood alcohol content, though the amount of alcohol in sweat lags slightly behind at any given point in time.
This means that breathalyzers provide a more accurate instantaneous reading of someone's intoxication during a traffic stop. Transdermal sensors, on the other hand, provide a more nuanced understanding of a person's entire drinking event. Breathalyzers do not capture how much a person drank, how quickly they drank, and how long alcohol remained in their system, and transdermal sensors capture all of that.
This study also demonstrated an intuitive finding of intoxication: when a person becomes intoxicated by consuming the same amount of alcohol on two different days, that person is more likely to suffer negative consequences on the day that they became more intoxicated.
In other words, if a person had six drinks on Friday and six equivalent drinks on Saturday, they would be more likely to experience consequences if their peak intoxication were higher on one of those days. Peak intoxication can be affected by several factors, including how fast a person consumed alcohol and what they had eaten recently.
"Alcohol misuse causes problems ranging from the annoyance of a mild hangover to the tragedy of premature death," said Russell.
"This research is one step on a journey toward using technology to limit the harm that alcohol can cause," he added.
Robert Turrisi, professor of biobehavioral health at Penn State, and Joshua Smyth, distinguished professor of biobehavioral health and medicine at Penn State, contributed to this research and publication.