Epidemiology
Much research within clinical psychology attempts to answer questions such as: Who has a psychological problem or disorder? How is a disorder distributed in a specific population? Which factors lead to or increase the risk of psychological disorders? How does an untreated disorder develop? Who is seeking treatment and who needs it? The field of epidemiology deals with these questions (e.g., Rockett, 1999). Descriptive epidemiology deals with the distribution (occurrence, spatial, temporal) of these phenomena, and analytic epidemiology deals with the determinants (causes) of psychological disorders. Important concepts in epidemiological research are described below.
Prevalence
Prevalence indicates the frequency of a psychological disorder, generally or in a specific population. The prevalence rate is the proportion of people with a specific disorder in relation to the population of interest. Prevalence must be specified with regard to a particular time period and the examined population: For example, 12âmonth prevalence refers to the rate of occurrence within a period of 12 months. In comparison, lifetime prevalence refers to the entire lifespan. Instead of a time period, prevalence can also refer to a specific time point (point prevalence). An additional important figure is treatment prevalence, which is not concerned with the frequency of occurrence of a disorder but the frequency with which persons seek treatment for a specific disorder.
Incidence
Incidence refers to the number of persons in a given time period and population that newly develop a disorder. Thus, the incidence rate is the proportion of persons in a given population that have a disorder but did not have that disorder in the past. In accordance with this definition, two measurement points would be necessary for a valid incidence estimate: The first time point provides the baseârate of people in a population who do not suffer from the disorder. The second time point determines the number of patients who were not ill at the first time point but are ill now. Like prevalence, incidence depends on the investigated period, and the population. If, for example, the second measurement point is one year after the first measurement point, the incidence rate is specific for this 1âyear period.
Risk Measures
Generally, two types of risk measures can be differentiated: unconditional risks and conditional risks. Unconditional risks address the likelihood of developing a specific disorder in a given period. These risks can be calculated with the respective prevalence and incidence estimates described above. Conditional risks address whether certain variables increase (risk factor) or decrease (protective factor) the probability of developing a disorder. As such, whether the prevalence and/or incidence rates differ is investigated depends on the variable in question (e.g., sex). Many psychological disorders occur more frequently in women than in men. Consequently, being female is a risk factor for the development of these disorders.
Etiology and Analytical Epidemiology
When investigating the causes of psychological disorders, multidimensional models are usually assumed. That is to say, psychopathology is too complex to be explained by a single cause. Rather, many different influence factors from multiple dimensions are thought to interact, and eventually result in a psychological disorder. Etiology and analytical epidemiology address the questions of who develops a disorder and under which circumstances, taking into account behavioral, biological, emotional, social, and developmental influences. To observe the relative influence of each of the different factors, similar methods are applied, as described below (also see the section on the controlâgroup experiment). The basic idea is to investigate groups that differ with regard to certain influence factors and are identical with regard to others. The examination of the effects of genes, for example, is often done within so called âtwin studies.â Twins are identical with regard to their genetic code but might be exposed to other very different influence factors, especially if they were raised apart from each other. Those characteristics, which are shared by twins after many years within different environmental conditions, are highly likely to have strong genetic influences.
For the design of examinations that seek to establish causal influence factors, it is important to show that the potential influence factor was present before the disorder. Therefore, the repeated assessment of the same individuals over time is needed (longitudinal designs). Crossâsectional designs, in which data is collected from different age groups at the same time, can also hint at causal associations. However, this design assumes that the age groups are comparable with regard to other, not measured characteristics. If there are systematic differences between the different age groups (cohort effects) these can hamper the interpretation of crossâsectional studies.
Prevention
Besides the treatment of psychological disorders, the prevention of their onset is crucial for clinical psychology. Prevention research within clinical psychology investigates interventions or programs that help to reduce the risk of developing a psychological disorder. While primary prevention programs aim at risk reduction on a global level (e.g., for all inhabitants of a country), secondary prevention focuses on individuals who already show an increased risk of developing a disorder or already report subclinical problems. As such, prevention research is based on etiology and epidemiology, as knowledge on the potential causes of psychological disorders is needed to create effective programs. The evaluation of these programs uses the same methods as those presented below for the evaluation of other clinical interventions.