Student Resources Observational Studies By Sharon Basaraba twitter Sharon Basaraba is an award-winning reporter and senior scientific communications advisor for Alberta Health Services in Alberta, Canada. Learn about our editorial process Sharon Basaraba Updated on February 01, 2021 Print BSIP/Contributor/Getty Images There are many different types of scientific studies that give researchers information about the way the body ages. Since aging is a long-term process, longitudinal research is often employed to track a group of subjects for a defined period, usually years. These studies can involve observation or intervention. Scientists might use longitudinal research to answer questions about the effect of certain behaviors, like regular exercise or meditation, or foods – like chocolate or a Mediterranean diet, for example – on the long-term health of the participants. In an observational study, no intervention takes place. While participants answer detailed questions about the lifestyle habit being investigated, or measurements are taken, no adjustment of the habit itself is suggested by the researchers. During the study period, participants are revisited and surveyed again to chart the habits being studied, and their effects. The US National Cancer Institute, for example, defines observational studies as those in which “biomedical and/or health outcomes are assessed in pre-defined groups of individuals.” Groups may be defined (or chosen) by age, gender, occupation, where they live, or perhaps grouped according to a disease or condition (for example, heart patients or cancer survivors). Observational research is valuable because it allows information to be gathered in a large population sample, over a long period of time. There are drawbacks, however. Surveys of lifestyle factors depend on the participant remembering, and accurately reporting, their own behavior. Eliminating confounding factors – that is, other elements that may influence the outcome being analyzed – is also a challenge for researchers conducting observational studie For these reasons, observational studies are most valuable in finding out whether factors are correlated, rather than determining with certainty which behavior caused a certain outcome. For example, many studies have shown that people who eat chocolate regularly have a lower incidence of cardiovascular disease, but research has not yet determined conclusively that it is the chocolate itself that is responsible for the better heart health. An interventional study, by contrast, would take two groups made up of similar people, give chocolate in predetermined amounts to the members of one group, but not the other. Over time, measurements of blood pressure, blood lipids etc. would be taken and the two groups compared in order to draw conclusions about causation – that is, the effects caused by the chocolate. Observational studies are also more appropriate for investigating the effects of negative lifestyle factors like smoking or alcohol consumption, in which interventional research (for example, asking subjects to smoke or drink) would be unethical. Was this page helpful? Thanks for your feedback! Ever wonder what your personality type means? Sign up to find out more in our Healthy Mind newsletter. Sign Up You're in! Thank you, {{form.email}}, for signing up. There was an error. Please try again. What are your concerns? Other Inaccurate Hard to Understand Submit Article Sources Verywell Mind uses only high-quality sources, including peer-reviewed studies, to support the facts within our articles. Read our editorial process to learn more about how we fact-check and keep our content accurate, reliable, and trustworthy. Thiese MS. Observational and interventional study design types; an overview. Biochem Med (Zagreb). 2014;24(2):199-210. doi:10.11613/BM.2014.022 Rezigalla AA. Observational Study Designs: Synopsis for Selecting an Appropriate Study Design. Cureus. 2020;12(1):e6692. doi:10.7759/cureus.6692 Yuan S, Li X, Jin Y, Lu J. Chocolate Consumption and Risk of Coronary Heart Disease, Stroke, and Diabetes: A Meta-Analysis of Prospective Studies. Nutrients. 2017;9(7). doi:10.3390/nu9070688