week7 Flashcards

1
Q

Measurement errors are either:

A

Random
or
Systematic

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2
Q

What is random error

A

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

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3
Q

What is Systematic Error

A

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

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4
Q

The direction (positive or negative) and size of random and systematic error varies with:

A

The methodology used
The population being studied
The nutrients of interest

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5
Q

How to control measurement error

A

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

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6
Q

List the 7 major sources of error

A

Respondent bias
Non-response bias
Interviewer bias
Respondent memory lapses
Incorrect estimation of portion sizes
Supplement usage
Coding/computation errors

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7
Q

Respondent bias

A

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

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8
Q

Under-reported foods

A

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)

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9
Q

Social desirability and approval biases

A

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

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10
Q

Non-response bias

A

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

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11
Q

Interviewer bias

A

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

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12
Q

Respondent memory lapses

A

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

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13
Q

Incorrect portion sizes

A

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

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14
Q

Supplement usage

A

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

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15
Q

Coding and computation errors

A

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

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16
Q

Precision

A

Is a function of
1.Measurement error (which can be minimised but not eliminated)
2. True variation in daily nutrient intakes (will always remain)
→ therefore
if the results of two dietary surveys disagree, this does not mean the method is imprecise – rather food intakes may have changed

17
Q

True variability - intra and inter subject variation

A

Due to dietary differences
Among individuals [between or inter- subject variation and
Within one individual over time [within or intra- subject variation]

Intra-subject variation in dietary intake is usually greater than inter-subject variation

18
Q

Estimation of precision depends on various factors:

A

Time frame of method
Population group
Nutrients of interest
Techniques used to measure quantities of foods consumed
Inter- and Intra-subject variation in intakes

19
Q

Measuring precision

A

test: re-test design i.e: repeating the same dietary method on the same participants after a pre-selected time interval

Care is needed: The second measurement should not be influenced by the first one

19
Q

Measuring precision

A

test: re-test design i.e: repeating the same dietary method on the same participants after a pre-selected time interval

Care is needed: The second measurement should not be influenced by the first one

20
Q

24 hr recall

A

The method can provide a relatively precise estimate of group mean intake

However - if single 24 hr recall methods are used to estimate group mean intake, the number of subjects required is large

For estimating the mean intake of an individual, the 24hr recall is most unlikely to represent usual intake, i.e the method has low precision. This is due to a large intra-subject variation in food intake

21
Q

7 day food records

A

Generally good agreement between group mean values for energy and most nutrients when tested on two separate occasions

22
Q

Diet histories

A

The precision depends on:
The time frame of the method (eg 1 month…or 3 months)
The time interval between the records
The technique used of measuring amount of foods consumed
The population group

Generally the dietary history gives good precision at group level- especially over relatively short time frames for:
Energy and nutrients for average week-days
Poorer at week-end days because of greater variation in food intakes

23
Q

Food Frequency Questionnaires (FFQ)

A

Limited number of studies
but they suggest good precision

24
Q

Sources of true variability

A

Inter- subject variation
A measure of how subjects differ from each other in their true daily intake
Varies with the nutrient being investigated
For most nutrients- inter-subject variation is usually smaller than intra-subject variation
Result → mean intake of a group can generally be assessed MORE precisely than individual intakes
Inter-subject variation can be overcome if sample size
Is as large as possible
Is representative of the group being studied

25
Q

Age and gender

A

Energy and nutrient intakes are generally presented separately by age and gender

Gender differences are largely due to differences in amounts consumed, rather than pattern of consumption

If nutrient intakes are expressed as nutrient densities (i.e. amount of nutrient/total grams of food consumed) - differences tend to disappear (as you are adjusting for the amount of energy consumed)

26
Q

Intra-subject variation is a measure of:

A

TRUE day-to-day variation in intake by the same participant
Cannot be measured by diet history
Statistically assessed by analysis of variance
Significance of intra-subject variation:
Very important if usual intakes are required for correlation with biochemical or clinical parameters
Multiple measurement days are required to characterize usual intake more precisely
Extent partly depends on diversity of food intake

27
Q

Significance of intra-subject variation

A

Very important if usual intakes are required for correlation with biochemical or clinical parameters
Multiple measurement days are required to characterize usual intake more precisely
Extent partly depends on diversity of food intake

28
Q

Day of the week effects

A

Group mean nutrient intakes (per day) and individual usual intakes (per day) MAY VARY WITH THE DAY OF THE WEEK
E.g: Women are reported to eat more on Sundays and both genders have lower fibre intakes at the week-ends
NOT ALL NUTRIENTS ARE AFFECTED
Day of the week effects can be accounted for by proportionally representing all days of the week in the study design

29
Q

Seasonal effects

A

Depends on:
Population group
Socio-economic status
Country
Generally seasonal effects will probably be greater for food items rather than nutrient intakes

30
Q

Training effects

A

Reaction to repeated interviews
May alter reported intakes over time

Effects are most likely if participants complete recalls on consecutive days (not advised)

Where highly trained interviewers and standardised techniques are used such training effects may not be observed