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Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms

The SHARE study contains health, lifestyle, and socioeconomic data from individuals ages 50 and older in European countries collected over several waves. Leveraging these data for research purposes can be daunting due to the complex structure of the longitudinal design. The two aims of our study are...

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Autores principales: Lusa, Lara, Huebner, Marianne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471350/
https://www.ncbi.nlm.nih.gov/pubmed/34574605
http://dx.doi.org/10.3390/ijerph18189684
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author Lusa, Lara
Huebner, Marianne
author_facet Lusa, Lara
Huebner, Marianne
author_sort Lusa, Lara
collection PubMed
description The SHARE study contains health, lifestyle, and socioeconomic data from individuals ages 50 and older in European countries collected over several waves. Leveraging these data for research purposes can be daunting due to the complex structure of the longitudinal design. The two aims of our study are (1) to develop a framework and R code for data management of the SHARE data to prepare for data analysis, and (2) to demonstrate how to apply the framework to a specific research question, where the aim is to model the presence of clinically significant depression assessed by the 12-item Europe depression scale. The result is a framework that substantially reduces the time to initiate research studies using SHARE data, facilitating the data extraction, data preparation and initial data analysis, with reproducible R code. Further, we illustrate the extensive work required to prepare an analysis-ready data set to ensure the validity of the modeling results. This underlines the importance of carefully considering and recording data management decisions that have to be built into the research process. The results about sex differences in the probability of depression are consistent with previous literature. Our findings about age-associated changes can be opportunities for adequate treatment interventions.
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spelling pubmed-84713502021-09-27 Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms Lusa, Lara Huebner, Marianne Int J Environ Res Public Health Article The SHARE study contains health, lifestyle, and socioeconomic data from individuals ages 50 and older in European countries collected over several waves. Leveraging these data for research purposes can be daunting due to the complex structure of the longitudinal design. The two aims of our study are (1) to develop a framework and R code for data management of the SHARE data to prepare for data analysis, and (2) to demonstrate how to apply the framework to a specific research question, where the aim is to model the presence of clinically significant depression assessed by the 12-item Europe depression scale. The result is a framework that substantially reduces the time to initiate research studies using SHARE data, facilitating the data extraction, data preparation and initial data analysis, with reproducible R code. Further, we illustrate the extensive work required to prepare an analysis-ready data set to ensure the validity of the modeling results. This underlines the importance of carefully considering and recording data management decisions that have to be built into the research process. The results about sex differences in the probability of depression are consistent with previous literature. Our findings about age-associated changes can be opportunities for adequate treatment interventions. MDPI 2021-09-14 /pmc/articles/PMC8471350/ /pubmed/34574605 http://dx.doi.org/10.3390/ijerph18189684 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lusa, Lara
Huebner, Marianne
Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title_full Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title_fullStr Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title_full_unstemmed Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title_short Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms
title_sort organizing and analyzing data from the share study with an application to age and sex differences in depressive symptoms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8471350/
https://www.ncbi.nlm.nih.gov/pubmed/34574605
http://dx.doi.org/10.3390/ijerph18189684
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