Data Access Register - full project summary
| Application ID | LLC_0034 |
|---|---|
| Project Title | Comparison of electronic health record versus self-reported measures of anxiety and depression symptoms and disorders in the Twins Early Development Study (TEDS) and Genetic Links to Anxiety and Depression (GLAD) Study. |
| Lead Applicant | Megan Skelton |
| Organisation(s) Name(s) | King’s College London |
| Approval Date | 17/12/2024 |
| Application Status | Approved |
| Lay Summary | In recent years there has been a steep increase in the number of people experiencing anxiety and depression, particularly among young adults and women. This project aims to determine the agreement between different indicators of anxiety and depression diagnoses. The indicators we will focus on are diagnoses from self-reported questionnaire-based data and from medical record data. This project will use data from the Twins Early Development Study (TEDS) and the Genetic Links to Anxiety and Depression (GLAD) Study. First, we will examine the agreement between reports of anxiety and depression from the different sources. We will determine whether this agreement differed prior to and during the COVID-19 pandemic, when mental health problems increased but access to primary care was limited. Second, we will analyse pairs of twins to estimate the genetic and environmental influences on each of these types of reports. This will allow us to examine whether they are influenced by the same or unique genetic and environmental factors. This project could have implications for mental health research that uses these measures of anxiety and depression, as well as providing insight into mental health and access to support during the pandemic. |
| Datasets Requested | LPS Data:
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| Results & Impact |