Nutritional Flashcards

(17 cards)

1
Q

What are common dietary questionnaires?

A
  • 24-hour recall
  • Food record or food diary
  • FFQ - Food frequency questionnaire
  • Brief screener
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2
Q

What are the typical effects of systematic error (bias)?

Think of this by type

A

All –> Inaccuracy: biased estimates of mean and distribution

Intake-related –> exaggerated relationships

Person-specific* –>
a) Attenuated relationships
b) Loss of power
*Due to characteristics of the person – ex: scientists have found that people with higher BMI tend to underestimate systematically what they had to eat.

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3
Q

What are the types of effects associated with random error (within-person)?

A

E.g. difference between one-day reported intake and long-term average reported intake
Not biased but may be imprecise

  1. Imprecision: estimates scattered around true value
  2. Distributions too wide, leading to overestimations of tail probabilities
  3. Attenuated relationships
  4. Loss of power
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4
Q

What is within-person variability and what is the impact on nutritional studies?

A

Within-person variability is the natural variation in what a person eats from day to day, which can reduce the accuracy of dietary intake measurements in nutrition studies.

Ideally we want to reduce within-person variability in order to improve accuracy.

How to reduce?
Validate using other measurement instruments, including imperfect ones.
- “Data from multiple administrations (at least two) of each instrument is needed to assess within-person variability
- Caution! Validation might be overoptimistic, as the same type of measurement error is likely to affect both questionnaires (i.e. FFQ and 24-h recall)”

[Michaelopoulou lecture]

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5
Q

How can we address measurement error in the design phase?

A

“Do a validation study
- The only way to know how good your measurement tool is – quantifies the accuracy and precision
- Modify the tool after validation, if needed

Include bigger sample
- Measurement error leads to lower power

Repeat measurement of diet
- In full cohort or in a sub-sample
- Less random error with more measurements
- Diet changes over time”

[Michaelopoulou lecture]

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6
Q

How can we address measurement error in the analysis phase?

A

“Averaging repeat observations

If not possible to have repeat measurements, use statistical modelling to adjust for the effects of the day-to-day variation (given at least two measurements on at least a portion of the sample)

Exclusion of participants with unreliable results
- E.g. energy intake outside of a pre-defined range

Energy adjustment
- Adjustment may cancel out some of the measurement error, allowing for the fact that some participants just report a lot/a little of everything

Use information from a validation study
- E.g. attenuation factor to correct measures of association

Use a second measure of diet and combine with main instrument data
- E.g. estimates from second measure as covariates”

[Michaelopoulou lecture]

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7
Q

What are macronutrients?

A

They contribute energy:
1. Fats
2. Carbs
3. Protein
4. Alcohol

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8
Q

What are micronutrients?

A

They are essential for body function:

  • Vitamins (A, B, C, D, E, K)
  • Minerals (Calcium, Iron, Magnesium, Sodium, Potassium)
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9
Q

What are DRVs?

A

Dietary reference values:

  1. Estimated Average Requirement (EAR)
  2. Reference Nutrient Intake (RNI)
  3. Lower Reference Nutrient Intake (LNRI)
  4. Safe intake
  5. Population average
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10
Q

What is EAR?

A

Estimated Average Requirement (EAR)
- Half of people need more, half need less
- For energy, protein, vitamins, minerals

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11
Q

What is RNI?

A

Reference Nutrient Intake (RNI)
- Amount which is enough for 97% of people
- Calculated as EAR + 2xSD
- For protein, vitamins, minerals

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12
Q

What is LNRI?

A

Lower Reference Nutrient Intake (LNRI)
- Intakes below this are almost certainly inadequate for most people
- Calculated as EAR – 2xSD

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13
Q

What is safe intake?

A

“A level of intake that is judged to be adequate and safe for most people, when there isn’t enough data to calculate an EAR, RNI, or LRNI.”

[ChatGPT based on lecture]

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14
Q

What is population average?

A

Consistent with good health, mostly used for total fat, SFA, total carbs, sugar, fibre

Expanded by ChatGPT:

An observed average intake in the population that is consistent with good health across a group, not based on physiological requirements.

Used for:
- Macronutrients (e.g. total fat, saturated fat (SFA), carbohydrate, sugar, fibre)
- Nutrients where there isn’t a clearly defined individual “requirement,” but we can still observe what’s associated with health at a population level

⚠️ Important:
- It’s not meant for assessing adequacy at the individual level.
- It’s used in dietary guidelines and public health targets, e.g., “average saturated fat intake should be no more than 10% of total energy.”

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15
Q

What is change in energy stores?

A

Change in energy stores= Energy intake (EI) − Energy expenditure (EE)

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16
Q

What is total energy expenditure (EE)?

A

Total EE=Basal Metabolic Rate (BMR)+Physical Activity+Thermal effect of food

17
Q

What is one signal that someone might be under-reporting their energy balance?

A

If their
Energy intake (EI) / Basal metabolic rate (BMR) < Physical activity level (PAL)
then they might be under-reporting their energy intake.

A person’s reported energy intake (EI) is too low compared to how much energy their body is expected to need based on their basal metabolism (BMR) and activity level (PAL).