20.500.12556/RUL-136355 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 (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. statistical data depression initial data analysis SHARE data cleaning prediction modelling older adults sex differences Europe statistični podatki depresija začetna analiza podatkov true false true Angleški jezik Slovenski jezik Članek v reviji 2022-04-25 14:55:50 2022-04-25 14:55:52 2022-09-15 04:13:47 0000-00-00 00:00:00 2021 0 0 20 str. iss. 18, art. 9684 Vol. 18 2021 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 616.89 1660-4601 10.3390/ijerph18189684 81343235 ijerph-18-09684-v2.pdf ijerph-18-09684-v2.pdf 1 9C7BDD4B73C6423AD055002509E348E3 78b5670cf8b4888a1c7613740e712032ae1d23be810d50b9b1e03af759f96cbc 4504383c-c497-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=155958 https://www.mdpi.com/1660-4601/18/18/9684 0 149c576b-c497-11ec-8aca-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=155957 Medicinska fakulteta 0 0 0