week7 Flashcards
Measurement errors are either:
Random
or
Systematic
What is random error
e.g bias, misrecording of food
Affects the precision (reproducibility)
Can be decreased (but not eliminated entirely) by
- increasing the number of participants surveyed
and/or
- increasing the number of days over which the dietary intake of a participant is measured
Can occur across ALL days of the week and across ALL participants
What is Systematic Error
Most serious type as it may introduce significant bias
The bias may be positive or negative i.e dietary intakes may be over-estimated or under-estimated
Direction (positive or negative) and extent (size) of systematic errors are very difficult to quantify
Can’t be minimised by increasing the number of observations
May exist for certain participants e.g: those with obesity are prone to under-estimate their usual food intake
May exist for specific interviewers
May be associated with certain foods only (eg) alcohol
The direction (positive or negative) and size of random and systematic error varies with:
The methodology used
The population being studied
The nutrients of interest
How to control measurement error
Achieved by proper quality control measures e.g:
Training and re-training sessions for interviewers and coders
Use of standardised interviewing techniques and questionnaires
Pre-tested questionnaires and inclusion of a pilot study
NB: Good quality control will still not eliminate measurement error- particularly systematic error
List the 7 major sources of error
Respondent bias
Non-response bias
Interviewer bias
Respondent memory lapses
Incorrect estimation of portion sizes
Supplement usage
Coding/computation errors
Respondent bias
May arise because the subject:
- misunderstands what the investigator has requested
- receives non-verbal cues to the “right answers”
- has a need to give “socially desirable” answers
= systematic mis-reporting of foods consumed
Under-reported foods
Can involve:
- under-recording → failure to record all the foods consumed during the period and/or under-estimation of their amounts
- under-eating → when subjects eat less than usual
- specific foods and beverages may be selectively under-reported
- weight status – consistently associated with under-reporting (likely to increase as BMI increases)
Social desirability and approval biases
Social desirability → the tendency to respond in such a way as to avoid criticism
Social approval → the tendency to seek praise
May affect the way that people report foods which have “good”/ “bad” connotations
Non-response bias
Non response or poor compliance from a specific subset of otherwise randomly selected subjects
May bias the dietary data because the sample loses its randomness (ie) is unrepresentative
(eg) busy parents vs retired subjects
Need to minimize non-response bias (eg) simplifying dietary assessment methods
Interviewer bias
May include the following errors
incorrect use of probing -questions
-incorrect recording of responses
-biases associated with the -interview setting
distractions
-degree of rapport between investigator and participant
Errors may be random across days and participants and/or
Systematic for a specific interviewer or
Exist as an interaction between certain interviewers and participants only
Efforts should be made to minimize interviewer bias (eg) carefully designed and standardized interviewing protocols
Interviewers should be trained to anticipate and recognize potential sources of bias
Cultural and ethnicity issues
Respondent memory lapses
May affect recall methods in two ways:
1. participant may fail to recall foods actually consumed
2. participant may report foods that were not consumed during the study period
Reduced by asking “probing questions” and/or using memory aids e.g: food photographs
It may be reduced if the time period between actual food intake and recall of that food intake is short (24 hrs)
Generally foods contributing to the main part of the meal are remembered better
Incorrect portion sizes
Probably the largest source of measurement error
Occurs when respondents fail to quantify accurately the amount of food consumed
Alternatively the respondent’s concept of a normal portion may deviate from the standard (or the interviewer may assume an answer of a normal portion/average serving size
Extensive errors are introduced if standard portion sizes are assumed
Supplement usage
May (easily) be omitted from the dietary record
Failure to account for the
- type (brand variability is large)
- frequency
- amount of supplements used
→ systematic under-estimation of the
intake of certain nutrients
Coding and computation errors
Arises when portion sizes are estimated from household measures and/or when food items are incorrectly coded
Coding errors are mostly due to inadequate descriptions of foods rather than weight errors
“Rules for coding” should be established at the outset to deal with incomplete or ambiguous description of foods