ArticleInternational journal of environmental research and public health2021
Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Article
- Accelerometery 24-hour movement behaviours and health markers in the European old population: iso-temporal substitution regression.Archives of public health = Archives belges de sante publique · 2025Article
- Initial data analysis for longitudinal studies to build a solid foundation for reproducible analysis.PloS one · 2024Article
- Sex Differences in Age-Associated Rate of Decline in Grip Strength When Engaging in Vigorous Physical Activity.International journal of environmental research and public health · 2022Article
- How Heavy Lifting Lightens Our Lives: Content Analysis of Perceived Outcomes of Masters Weightlifting.Frontiers in sports and active living · 2022Article
- Organizing and Analyzing Data from the SHARE Study with an Application to Age and Sex Differences in Depressive Symptoms.International journal of environmental research and public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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.
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Registered trials
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