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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8471350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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