Research Basics for Nutrition Science Flashcards

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1
Q

Levels of Evidence

A

By examining the amount and types of studies on a topic you can judge the quality and the strength of evidence.
Helps critical consumers avoid the knee-jerk reaction to a single study in the media.
Tool for judging the quality and strength of research on a particular topic
Not all types of scientific research provide the same quality of evidence.
-sometimes not so great studies that are higher ranked on quality of evidence are not always better.
Single studies should almost never be considered as enough evidence.
Multiple quality studies reporting similar results increases the strength of evidence.

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2
Q

Research Approaches

A

Observational
Experimental
Critical Evaluation

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3
Q

Observational

A

No intervention given for any of those approaches.
Case reports, case studies, case series, descriptive studies, epidemiological studies.
Case reports and case studies/series involve observing what’s going on with people. Both have low level of evidence because low level of validity (can’t generalize findings).

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4
Q

Case Reports

A

Examining one case

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5
Q

Case Studies

A

More than report.
Affiliated with organization and have in-depth report on person like what occurs in case report.

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6
Q

Case Series

A

Multiple cases that you create reports on for a specific topic/interest.

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7
Q

Descriptive Studies/Research

A

Concerned with the state of things.
Looking at amounts and types of behaviours, attitudes, knowledge, and health status.
Many places to find research data.
Correlation research and longitudinal designs.

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8
Q

Correlation Research

A

Measure some things and see correlation between them.
Correlate variables.
Not limit on how many things are measured.
Often collect data at a single point in time.
-these snapshots are also referred to as cross-sectional designs.
-no intervention, just looking.

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9
Q

Longitudinal Designs

A

Follow people over time and observe change.
Strength = observe change over time.
More expensive.
Cross-sectional studies do not observe change over time.
-only look at single point in time.

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10
Q

Epidemiological Studies

A

Estimates the risks of behaviour in health.
Also referred to as a natural experiment.
Uncontrolled settings (don’t intervene).
Two types include case control and cohort designs.

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11
Q

Case Control

A

Weaker of the two.
Cases and controls used to gather data retrospectively with participants recalling dietary behaviours (higher error due to recall).
Gather people with (cases) and without (controls) disease
Look back at behaviours using self-reported measures.
Match cases and controls as closely as possible.

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12
Q

Cohort Designs

A

Stronger of the two.
Cohort created to gather data prospectively with data being subjective/objective and followed for period to see who gets disease and who doesn’t.
Follow people for a period and gather data on behaviour(s).
When disease emerges compare behaviours between groups.

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13
Q

Objective Measures

A

Unbiased
Not open for interpretation.
Usually gathered using instruments.

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14
Q

Subjective Measures

A

Biased.
Open to interpretation.
Usually gathered using questionnaires.
Self-reported measures are common.

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15
Q

What are some issues with subjective measures?

A

Recall bias, rounding errors, response bias.

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16
Q

Recall Bias

A

Errors due to memory.

17
Q

Rounding Errors

A

Errors due to social conventions.

18
Q

Response Bias

A

Systematic error due to real or perceived social pressure.

19
Q

How might types of measures we gather be impacted by the design?

A

Case control = use subjective measures therefore more error.
Cohort studies = can use both.

20
Q

Measurement in Nutrition Science

A

Most people make errors recalling food intake, measuring and recording food intake, or underreport food intake and overestimate physical activity.

21
Q

Experimental Research

A

The purpose of experimental research is to examine cause and effect.
Includes randomized and non-randomized research designs.

22
Q

Randomized Research Designs

A

Randomizing participants to treatment or control groups allows us to assume group equivalence.
-take a sample and randomly assign people to groups.
When we assume group equivalence, we are also taking care of extraneous variables (variables that could impact the DV).
-tested in pre-test to determine how similar groups are
Sample size matters.
-the larger the sample size, the more confident we are in group equivalence.
Sample characteristics matter.
-must have strict inclusion criteria
-homogenous samples increase our confidence in group equivalence

23
Q

What is the holy grail of experimental research?

A

Large = assume group equivalence
Randomized = assume group equivalence, no selection bias.
Double-blind = no one knows who gets what (researchers and participants).
Control = see how the manipulation effects one group and compare that to the control group (something to compare the treatment to).

24
Q

Repeated Measures Design

A

Another randomized design.
Sometimes referred to as crossover study.
Conditions are randomized.
Participants serve as their own controls.

25
Q

Non-Randomized Research Designs

A

Do not randomize participants into treatment and control groups.
Does not account for differences between groups.

26
Q

Pre-Experimental Design

A

Does not occupy a level of evidence.
It is poor evidence.

27
Q

Pilot Studies

A

Industry funded research sometimes tries to sneak these studies by consumers.
No comparison.

28
Q

Reviews

A

Are only as good as the studies they review.

29
Q

What’s the difference between a review and a systematic review?

A

Systematic review is a review where they set up a system for how they select their primary sources for the review.

30
Q

Meta-Analyses

A

A quantitative analysis of multiple studies to determine the mean effect of an intervention/treatment.