A Machine Learning Approach for Inferring Alcohol Intoxication Levels From Gait Data

Study Overview
=================
Brief Summary
-----------------
This study aims to develop a phone app to assess gait differences at different levels of alcohol intoxication.

Detailed Description
-----------------
250 adult volunteers who will each participate in a single laboratory-based visit. At the orientation, each participant will provide informed consent, be weighed, and undergo a medical history to confirm eligibility. A urine drug quick-screen will be given. Female participants will take a urine pregnancy test. Baseline questionnaires will be administered. After giving participants the phone on which the AlcoGait 2.0 app is installed, baseline assessment of gait will be performed with the participant walking a distance of 50 yards ten times. Drinking will then commence. The total amount will be consumed over 30 minutes. Participants will have their BrAC assessed multiple times during and after drinking has commenced and finished. At BrAC levels of .02, .04, .06 and .08 g%, will perform the gait task. After the last gait task, participant data will be transmitted to a secure server. Participants will receive a meal, and will be escorted to a sitting area with a DVR and videos, and allowed to use their own electronic devices. Their BrAC will be periodically tested until it reaches .02 g% or below, then a taxi will be called to take them home.

Official Title
-----------------
A Machine Learning Approach for Inferring Alcohol Intoxication Levels From Gait Data

Conditions
-----------------
Alcohol Drinking

Intervention / Treatment
-----------------
* Other: All Participants


Participation Criteria
=================
Eligibility Criteria
-----------------
Inclusion Criteria: ages 21-65 drinking at least 5 drinks per occasion for men (4 for women) during a single drinking episode at least once in the last month to ensure, for safety reasons, that people are accustomed to consuming alcohol in amounts comparable to what we will administer willingness to drink beer (since only beer will be provided in the session to standardize drinks more easily). Exclusion Criteria: past 6 months or current treatment for alcohol or drug abuse by self-report (for ethical reasons) Score > 5 on (the short version of the Michigan Alcohol Screening Test [SMAST]48) given during the screening interview positive family history of alcohol use disorder weight ≥ 230 lbs (to prevent excessive volume of beverage) current use of medications that are contraindicated for alcohol a health condition that contraindicates alcohol (e.g. peptic ulcer disease) a health condition that affects ability to walk if female, pregnant or nursing use of recreational drugs (e.g., marijuana, opioids, stimulants, benzodiazepines) within the last week (self-report plus urine screening cup) persons who report alcohol-induced flushing, an untoward reaction that is often accompanied by headache, nausea and other symptoms

Ages Eligible for Study
-----------------
Minimum Age: 21 Years
Maximum Age: 75 Years

Sexes Eligible for Study
-----------------
All

Accepts Healthy Volunteers
-----------------
No

Study Plan
=================
How is the study designed?
-----------------

Design Details

Primary Purpose: Other
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: All Participants<br>All participants complete the same study procedures, which involve drinking alcohol to a .08 blood alcohol level and walking short distances while their blood alcohol level is increasing to .08 and decreasing down to .00. | Other: All Participants<br>* all participants will participate in the same protocol involving drinking alcohol to a .08 g% blood alcohol level<br>|

What is the study measuring?
-----------------
Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Phone App | a phone app to compare gait changes with blood alcohol levels will be developed based on participant's gait during alcohol use | data from each participant will be collected during a one-visit study session |