Description
With our new iOS Application caffe:ne you can store your personal caffeine consumption data into the Health App. Ingestion Statistics and safety limits will help you to manage your daily coffee. With a visual presentation of the day/week/month/year you can compare your graphs to your incidentally vital data.
Features:
+ Maximum Daily Consumption
+ Current Consumption during the last 24 Hours
+ Quick Launch for recent Drinks
+ Statistical Evaluation for your Ingestion data
+ Half-Life calculation for consumed caffeine
Check out the Settings:
The decomposition of caffeine in your body can vary according to your bodyweight, height, sex and age. Check the Settings to personalise caffe:ne to your needs.
Disclaimer:
Although the amount of physical data our application gathers from your Smartphone it can never substitute the opinion of a trained specialist. See it as a helper to determine the personal limitation for your caffeine consumption, which should not be trespassed. For our calculations we have recourse to a great list of public and open access scientific documents on the caffeine half-life and it’s repercussions on the human body. With this we want to assure that the given advices are as accurately as possible. For users with a significant higher sensibility (e.g. pregnant woman, cardiacs, children) these calculations are inapplicable. Please contact a doctor regarding your recommended daily consumption limits.
The Half Life of Caffeine in healthy adults is about 5.7 hours [1]. "However, at higher doses (e.g. 250–500mg single dose), the clearance of caffeine is significantly reduced and its elimination half-life is prolonged, indicating non-linearity" [2].
"The t1/2 (beta) was significantly prolonged in women on OCS (10.7 +/- 3.0 hr vs. 6.2 +/- 1.6)" [3] unrelated to weight or height of female participants.
Sources:
[1]: http://www.ncbi.nlm.nih.gov/pubmed/7361718?dopt=Abstract
[2]: https://www.researchgate.net/publication/13850835_Dose-Dependent_Pharmacokinetics_and_Psychomotor_Effects_of_Caffeine_in_Humans
[3]: http://www.ncbi.nlm.nih.gov/pubmed/7359014