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Longitudinal Research

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...

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Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

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Lifetime residential data collection protocol for the Adolescent Brain Cognitive Development (ABCD) Study.

Paola Badilla¹, Shermaine Abad², Calen Smith³

¹Institute for Behavioral Genetics, University of Colorado, Boulder, CO, USA.

|April 16, 2024

Summary

This summary is machine-generated.

Collecting detailed residential histories is crucial for understanding environmental exposures and health outcomes. This study outlines a protocol to accurately gather lifetime address data for developmental research.

Keywords:

ABCD Study Addresses Adolescent Brain Cognitive Development Study Lifetime Prospective Protocol Residential address history collection for geolinking exposures Retrospective

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Area of Science:

Environmental Health
Developmental Psychology
Geospatial Science

Background:

Environmental exposures significantly impact health outcomes during development.
Linking health data with environmental data enhances understanding of environmental roles in health.
Geospatial data collection for residential history is challenging due to participant complexity and recall bias.

Purpose of the Study:

To present a protocol for collecting lifetime residential address information.
To improve the accuracy and completeness of geospatial data in developmental studies.
To facilitate research on environmental exposures and health.

Main Methods:

Developed a protocol for collecting lifetime residential address data.
Focused on capturing precise spatial locations and timeframes.
Addressed challenges of recall bias and complex living arrangements.

Main Results:

The protocol aims to create a multidimensional and dynamic dataset of residential histories.
It seeks to minimize data missingness and ensure data accuracy.
The protocol is designed to be feasible for participant administration.

Conclusions:

Accurate collection of lifetime residential history is vital for environmental exposure research.
The developed protocol addresses key challenges in geospatial data collection.
This methodology supports enhanced prevention and intervention efforts by informing on environmental health impacts.