The Discoverability of Longitudinal Datasets
Posted: Thu Feb 06, 2025 6:02 am
Insight from the Landscaping International Longitudinal Datasets Project
The development of mental health disorders is a complex process. Research on the life course of people living with mental health conditions such as anxiety, depression and schizophrenia, can saudi arabia rcs data help improve our understanding of the multitude of factors involved in their development. Results from this research can better place us to prevent and treat such conditions, ideally as early as possible. Our ongoing project, Landscaping International Longitudinal Datasets, involves our team at King’s College London, in collaboration with MQ Mental Health Research and the Open Data Institute, searching the world for the longitudinal datasets with the greatest potential for research on early intervention in depression, anxiety and psychosis.
As an undergraduate psychology student at the University of Bath, I have been very interested in developing my knowledge of mental health conditions and how different methodologies can be utilised for mental health research, in particular, to aid our understanding of the causes of and how to address mental health conditions. Having joined King’s College London for my placement year in September 2022, I have been thrust into the world of mental health research and immersed in learning about the value of existing datasets across the world.
Longitudinal Data on mental health disorders
Researchers often rely on cross-sectional datasets, which involve the “collection of relevant information data at a given point in time”. This research design is advantageous due to being relatively inexpensive and fast, allowing many variables to be studied simultaneously. However, cross-sectional datasets have a significant drawback: the inability to examine how variables may change across multiple time points and test for associations as participants age. As a result, longitudinal designs are becoming increasingly indispensable for mental health research.
The development of mental health disorders is a complex process. Research on the life course of people living with mental health conditions such as anxiety, depression and schizophrenia, can saudi arabia rcs data help improve our understanding of the multitude of factors involved in their development. Results from this research can better place us to prevent and treat such conditions, ideally as early as possible. Our ongoing project, Landscaping International Longitudinal Datasets, involves our team at King’s College London, in collaboration with MQ Mental Health Research and the Open Data Institute, searching the world for the longitudinal datasets with the greatest potential for research on early intervention in depression, anxiety and psychosis.
As an undergraduate psychology student at the University of Bath, I have been very interested in developing my knowledge of mental health conditions and how different methodologies can be utilised for mental health research, in particular, to aid our understanding of the causes of and how to address mental health conditions. Having joined King’s College London for my placement year in September 2022, I have been thrust into the world of mental health research and immersed in learning about the value of existing datasets across the world.
Longitudinal Data on mental health disorders
Researchers often rely on cross-sectional datasets, which involve the “collection of relevant information data at a given point in time”. This research design is advantageous due to being relatively inexpensive and fast, allowing many variables to be studied simultaneously. However, cross-sectional datasets have a significant drawback: the inability to examine how variables may change across multiple time points and test for associations as participants age. As a result, longitudinal designs are becoming increasingly indispensable for mental health research.