Week Two - Diet Assessment methods Flashcards
common approach in large epidemiologic studies:
FFQ and 24 hour recall ( to help calibrate FFQ)
a source of measurement error in which measurements consistently depart from true value in same direction; affects sample mean as well as percentiles and can result in incorrect estimates and conclusions
bias (systematic error)
measurable substance in an organism whose presence is indicative of some phenomenon such as disease, infection, or enviro exposure
biomarker
process of using equations to rescale data obtained from more-biased, less-accurate instrument based on info obtained from less-biased, more-accurate instrument
calibration
study that compares two groups of ppl: those with disease or condition under study, and a very similar group of ppl who don’‘t have disease/condition
case control study
study that includes measurements on a group of individuals at a single interval in time
cross-sectional study
reporting error that is diff in nature or magnitude between two groups
differential response bias (differential error)
the explanatory variable, also referred to as independent variable in regression model–often a behaviour such as diet
exposure
the target variable, also referred to as the dependent variable in regression model; often a health outcome like the occurrence of a specific disease
outcome
what is reactivity?
change in behaviour due to awareness that behaviour is being measured–may bias result
type of biomarker directly related to intake and not subject to homeostasis or substantial inter-individual diffs in metabolism
recovery biomarker (ie. doubly labelled water, urinary nitrogen)
probability that a test correctly rejects null hypothesis when alternative hypothesis is true
statistical power
deviation from accurate report related to a variety of factors that affect an individual as they respond to verbal/written question
response bias
stat method for correcting estimated regression coefficients for bias due to measurement error in one or more continuous covariates. Used to adjust relative risk estimates for measurement error in studies of the association of diet and health outcomes
regression calibration
the Primer made for clinic or research?
research
random vs systematic?
unpredictable (day to day fluctuations) and can be adjusted for using repeat measures and stat modelling; measurement consistently depart from true value in same direction (eg. underreport sweets), cannottbe adjusted for without availability of reference measure that contains no or error or only random error
systematic error in food diary?
subject burden–>lower quality data, record consumption less often so be like a recall, reactivity
food records good for:
describe diet intake and examine association between diet and other variables, support individuals to make recommended diet changes
error in 24 hour recall?
day to day variation (random), underestimate energy intake,
why is 24 hour recall considered least biased of self report instruments?
no reactivity bias