Objective: This study examines monthly variation in reports of recent alcoh
ol consumption behavior.
Method: Telephone survey data collected by the Behavioral Risk Factor Surve
illance System were used to measure self-reports of drinking and heavy epis
odic drinking in the 30 days before the interview. The sample (N = 57,758)
comprised cases collected in six states in 5 selected years. Monthly variab
ility in self-reported alcohol consumption was evaluated by logistic regres
sion analysis, using "deviation from means coding" for the month of intervi
ew, with background variables and year of interview controlled and state-le
vel clustering adjusted.
Results: Adults were significantly more likely to report past 30-day alcoho
l consumption when interviewed during the month of January and less likely
to report consumption when interviewed during March. Respondents were also
more likely to report heavy episodic drinking during tile month of July. De
spite large differences in alcohol consumption between male and female part
icipants, these seasonal patterns were essentially the same for bath gender
s.
Conclusions: The findings suggest that assessments of alcohol consumption t
hat do not consider seasonal variation may be biased. In order to minimize
this bias, it is recommended that researchers avoid collecting data only du
ring these particular times of the year or extend the data collection inter
val and control for seasonal variability.