We now have a smartphone app for everything, don’t we? Among the latest applications, is the Alcohol Tracker. Doctors in Singapore developed this smartphone app with an aim of helping users manage their alcohol intake.
How the Alcohol Tracker Works
After downloading the app, users are allowed to enter how many drinks they take each day. They tell the application how many glasses of wine, beers or any other alcoholic beverage they have imbibed and the app does its computations.
Since different drinks have differing levels of alcohol, the app converts every entered drink into a particular number of alcohol “units”. The app does this conversion using guidelines established by both the UK’s “National Institute for Health and Care Excellence” and Canada’s “Network for Mood and Anxiety Treatments.”
How the App Can Help Users
The app uses the entered data to keep track of the user’s daily and weekly drinking habits. If a user exceeds the alcohol limit recommended by major health organizations, the app sends a warning notification immediately. The app also sends a notification when a person reaches the recommended weekly alcohol intake. When they get a notification, users know it’s time to stop drinking for the day or week.
Other Benefits of the App
Alcohol Tracker also features links to helpful resources. For instance, users who may be struggling with heavy drinking can find the contacts for a local alcohol helpline. The app also has other inbuilt tools to help users limit their alcohol consumption.
Final Word on the App
As expected of an app developed by doctors, the Alcohol Tracker is a health app aimed at limiting alcohol consumption. As the developers say, the app also counters other apps that seem to encourage reckless drinking. This app is, therefore, a great inclusion for responsible drinkers and people who may be working to reduce their alcohol consumption. The only challenge may be the app’s reliance on entered data. Keeping track of those glasses or shots may prove tricky for an already inebriated user. Entered data may easily be flawed.
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