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

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  • Lara Lusa

    (Department of Mathematics, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 1000 Koper/Capodistria, Slovenia
    Medical Faculty, Institute for Biostatistics and Medical Informatics, University of Ljubljana, 1000 Ljubljana, Slovenia
    Current address: FAMNIT, University of Primorska, Glagoljaška 8, 6000 Koper/Capodistria, Slovenia.)

  • Marianne Huebner

    (Department of Statistics and Probability, Michigan State University, East Lansing, MI 48824, USA)

Abstract

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.

Suggested Citation

  • Lara Lusa & Marianne Huebner, 2021. "Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms," IJERPH, MDPI, vol. 18(18), pages 1-20, September.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9684-:d:635398
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    References listed on IDEAS

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    1. Diana Portela & Marta Almada & Luís Midão & Elísio Costa, 2020. "Instrumental Activities of Daily Living (iADL) Limitations in Europe: An Assessment of SHARE Data," IJERPH, MDPI, vol. 17(20), pages 1-15, October.
    2. F. Thomas Juster & Richard Suzman, 1995. "An Overview of the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 7-56.
    3. Jan Van den Broeck & Solveig Argeseanu Cunningham & Roger Eeckels & Kobus Herbst, 2005. "Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities," PLOS Medicine, Public Library of Science, vol. 2(10), pages 1-1, September.
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    1. Marianne Huebner & Frank Lawrence & Lara Lusa, 2022. "Sex Differences in Age-Associated Rate of Decline in Grip Strength When Engaging in Vigorous Physical Activity," IJERPH, MDPI, vol. 19(17), pages 1-11, September.

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