Anxiety datasets and studies

Anxiety datasets and studies

The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Anxiety across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony.

Discover Anxiety Datasets with Harmony Discovery

As the need for rich, accurate data escalates in the field of mental health, researchers are finding powerful allies in tools like Harmony Discovery. Harmony offers a streamlined process to discover and access diverse datasets crucial for studies involving anxiety and related conditions.

Harmony Discovery is a sophisticated tool that leverages large language model capabilities to match questionnaire items, variable names, usually scattered across different data repositories. This enhanced capability ensures relevant and focused data sets related to anxiety are easily available for researchers to utilize.

Bringing Anxiety Dataset at Your Fingertips

Harmony is your gateway to a broad range of data sources - an extensive collection that includes but is not restricted to, the UKLLC (UK?s Longitudinal Linked Census), Closer, the Catalogue of Mental Health Measures, HDR UK (Health Data Research UK) and ADR UK (Administrative Data Research UK).

Let’s look at a few anxiety-related datasets gathered through Harmony’s efficient data collation:

  1. Beyond Self-Report: A Multi-Method Approach to Characterising Intolerance of Uncertainty, 2018-2021 (855063) - This project explores daily uncertainties and their effects on stress levels.

What data sources does Harmony Discovery connect to?

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Compare instruments with Harmony
  1. Maternal Depression and Anxiety Disorders: Longitudinal Secondary Data Analysis, 2020-2022 (856044) - This research focuses on the influence of maternal depression and anxiety disorders (MDAD) on children’s mental health.

  2. The Impact of Social Anxiety and Instruction on Avoidance, 2021-2022 (856315) - This experiment investigates the effects of social anxiety and behavioural avoidance.

Empowering Longitudinal Studies on Anxiety

Longitudinal studies, involving repeated observations over time, are vital in understanding the evolution of mental health issues like anxiety. Harmony Discovery can help researchers easily find datasets about longitudinal studies.

This tool significantly reduces the time spent scouring numerous catalogues or databases for pertinent data, allowing researchers to concentrate on contributing critical insights into understanding and combating anxiety disorders.

Harmony Discovery is not just a tool but a catalyst in accelerating mental health research, giving researchers the data and time they need to make groundbreaking discoveries about conditions like anxiety.

In conclusion, Harmony Discovery is well suited to streamline your search for anxiety-related datasets. Its rich repository and enabling technologies ensure that you are well-equipped to advance your anxiety research, efficiently and effectively.

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