HaDPop Glossary Flashcards
Census
The simultaneous recording of demographic data by the government at a particular time pertaining to all persons who live in a particular territory
Crude birth rate
The number of live births per 1,000 population in a given year
General fertility rate
The number of live births per 1,000 women aged 15-44 year olds in a given year
Total fertility rate (TFR)
The average number of children that would be born to a hypothetical woman in her life
Crude death rate
The number of deaths per 1,000 in a given year
Age-specific death rate
The number of deaths per 1,000 in a specific age range in a given year
Standard mortality ratio
Compares numbers of observed and expected deaths is age-sex distributions in a population were identical
Incidence
The number of new cases of a disease in a given time period
The tap
Prevalence
The number of people affected by a disease - no time period; NOT A RATE (the bath tub)
Prevalence = incidence x length of disease
P = I x L
Incidence rate
(number of new cases) / (population x time)
Normal unit = people-years
Incidence rate ratio
(Exposed incidence rate) / (not exposed incidence rate)
Absolute risk
Absolute risk measures the size of a risk in a person or group of people (Eg absolute risk of an individual developing Alzheimer’s as they age)
Relative risk
Relative risk compares a risk in two different groups of people
Eg Relative risk of diabetes between obese and normal weighted people
Confounding factor
A factor which is associated to both disease of interest and the exposure of interest without being part of the causal pathway
Confidence interval
A range of values so defined that there is a specified probability that the true value of a parameter lies within it (Eg 95%)
Statistical significance
If the results of a test have statistical significance, it means that they are not likely to have occurred by chance alone. In such cases, we can be more confident that we are observing a ‘true’ result
Cohort study
This study follows a people over a period of time to see how their exposure affects their outcome,
Starts with OUTCOME FREE individuals
Survival bias
The logical error of only concentrating on those who survived a situation, and overlooking those who didn’t. Can result in false conclusions being drawn
Observational study
A study where the exposure cannot be varied. Instead people are just observed
Odds ratio
Odds ratio compare the odds of an outcome in an exposed group compared to an unexposed group
Case-control study
The study compares a group of people with a condition with a group who do not, the study then looks back over time to see how conditions/ exposures vary
Retrospective study
Relies on data previously collected (as medical records reports). Recall bias (where information was reported incorrectly) can make this type of study inaccurate
Recall bias
Where information was recorded and reported incorrectly. Particularly important when considering retrospective studies
Prospective study
Has a specific outcomes and recruits suitable participants. Observes exposures and outcomes in these people over time (months/years)