Factors associated with consumption of caffeinated-beverage among Siriraj pre-clinical year medical students, A 2-year consecutive survey.
BACKGROUND
Previous studies showed that significant proportion of medical students consumed caffeine to face sleep-deprived daily schedules.


OBJECTIVE
To monitor the trend of caffeinated-beverage consumption among Siriraj medical students as well as to study possible factors associated with caffeine dependency.


METHODS
The questionnaire was distributed to a class of medical students for 2 consecutive years. Statistical analysis was performed for descriptive purpose.


RESULTS
269 (89.7%) and 225 (74.5%) questionnaires were returned in year 1 and year 2, respectively 16.2% refused to take caffeine-beverages totally. 13% of those who consumed caffeinated-beverages developed caffeine dependence. From logistical analysis, positive history of smoking-family member and female sex were the only other two factors associated with caffeine dependency (OR 2.19, 95% CI 1.04-4.61 and 1.76, 95% CI 1.01-3.07, respectively). Other investigated factors included: exercise (p = 0.08); sleep hours (p = 0.24); reading beverage labels (p = 0.87); alcohol consumption (p = 0.59); class performance (p = 0.87); family member coffee-drinking habits (p = 0.66);family member alcohol-drinking habits (p = 0.18); and family income (p = 0.06).


CONCLUSIONS
Caffeinated-beverage consumption was common among Siriraj medical students. No significant change was detected in the pattern of caffeinated-beverage consumption within the study period. Positive history of smoking family members and female sex were found as the only other two factors correlated with caffeine dependency.
Denla
D
Pandejpong
Supalerg
S
Paisansudhi
Suthipol
S
Udompunthurak
D000328:Adult; D001628:Beverages / Q000706:statistics & numerical data*; D002110:Caffeine / Q000008:administration & dosage*; D000697:Central Nervous System Stimulants / Q000008:administration & dosage*; D005247:Feeding Behavior; D005260:Female; D006801:Humans; D008297:Male; D012737:Sex Factors; D013337:Students, Medical / Q000706:statistics & numerical data*; D055815:Young Adult
D000697:Central Nervous System Stimulants; D002110:Caffeine