A snapshot of frequency of outcomes & exposures in a particular population at a specific time-point
(Observational study so no intervention)
How are cross-sectional studies carried out?
Define target population
Use representative sample to take part
Obtain info on outcome of interest & exposure at particular time
What are the strengths of cross-sectional studies?
Data good quality as it's collected for the purpose of the research (not routinely)
Quick & cheap (no follow up)
Can study multiple exposures & outcomes
What are the weaknesses of cross-sectional studies?
Can't draw causal conclusions
Prone to measurement bias (e.g, recall bias- may not remember/ accurately report facts in questionnaires/ social desirability bias)
Confounding variables could cause the association
How is response rate calculated?
Number of people in study sample (data collected from) / number of people in selected sample
What is risk ratio/relative risk?
Summarises the association between exposure & outcome when outcome is binary
RR = Risk in exposed group/Risk in unexposed group
Risk in each group= Number with outcome / Total number in group
What does a risk ratio of 1 mean?
Null value (no association between exposure groups)
What does a RR < 1 mean?
Exposure reduces risk of outcome
1 - RR = %
What does a RR > 1 mean?
Exposure increases risk of outcome
RR - 1 = %
What do smaller P values indicate?
Stronger evidence against null hypothesis
What is representativeness?
How representative is the sample of the target population?
What is generalisability?
How generalisable are the results to other populations?
What do confidence intervals estimate?
Population risk ratios
EXAMPLE:
RR = 1.4
95% CI = (1.3, 1.5)
Risk of outcome in exposed compared to unexposed group is 40% higher. 95% confident that in general population risk of outcome in exposed compared to unexposed group is between 30 & 50% higher.