Using a Betabinomial distribution to estimate the prevalence of adherence to physical activity guidelines among children and youth.
BACKGROUND
Estimates of the prevalence of adherence to physical activity guidelines in the population are generally the result of averaging individual probability of adherence based on the number of days people meet the guidelines and the number of days they are assessed. Given this number of active and inactive days (days assessed minus days active), the conditional probability of meeting the guidelines that has been used in the past is a Beta (1 + active days, 1 + inactive days) distribution assuming the probability p of a day being active is bounded by 0 and 1 and averages 50%. A change in the assumption about the distribution of p is required to better match the discrete nature of the data and to better assess the probability of adherence when the percentage of active days in the population differs from 50%.


METHODS
Using accelerometry data from the Canadian Health Measures Survey, the probability of adherence to physical activity guidelines is estimated using a conditional probability given the number of active and inactive days distributed as a Betabinomial(n, a + active days , β + inactive days) assuming that p is randomly distributed as Beta(a, β) where the parameters a and β are estimated by maximum likelihood.


RESULTS
The resulting Betabinomial distribution is discrete. For children aged 6 or older, the probability of meeting physical activity guidelines 7 out of 7 days is similar to published estimates. For pre-schoolers, the Betabinomial distribution yields higher estimates of adherence to the guidelines than the Beta distribution, in line with the probability of being active on any given day.


CONCLUSIONS
In estimating the probability of adherence to physical activity guidelines, the Betabinomial distribution has several advantages over the previously used Beta distribution. It is a discrete distribution and maximizes the richness of accelerometer data.
Health Analysis Division, Statistics Canada, Ottawa, Ontario.
Didier
D
Garriguet
D061725:Accelerometry; D000293:Adolescent; D016010:Binomial Distribution; D002170:Canada; D002648:Child; D002652:Child Behavior; D002675:Child, Preschool; D015444:Exercise; D005260:Female; D017408:Guidelines as Topic; D015438:Health Behavior; D006306:Health Surveys; D006801:Humans; D008019:Life Style; D008297:Male; D015995:Prevalence; D011336:Probability; D013223:Statistics as Topic
Accelerometer; Actical; children; moderate-to-vigorous physical activity