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Organizing and analyzing data from the SHARE study with an application to age and sex differences in depressive symptoms
ID
Lusa, Lara
(
Author
),
ID
Huebner, Marianne
(
Author
)
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MD5: 9C7BDD4B73C6423AD055002509E348E3
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https://www.mdpi.com/1660-4601/18/18/9684
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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.
Language:
English
Keywords:
statistical data
,
depression
,
initial data analysis
,
SHARE
,
data cleaning
,
prediction modelling
,
older adults
,
sex differences
,
Europe
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
MF - Faculty of Medicine
Publication status:
Published
Publication version:
Version of Record
Year:
2021
Number of pages:
20 str.
Numbering:
Vol. 18, iss. 18, art. 9684
PID:
20.500.12556/RUL-136355
UDC:
616.89
ISSN on article:
1660-4601
DOI:
10.3390/ijerph18189684
COBISS.SI-ID:
81343235
Publication date in RUL:
25.04.2022
Views:
781
Downloads:
105
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Record is a part of a journal
Title:
International journal of environmental research and public health
Shortened title:
Int. j. environ. res. public health
Publisher:
MDPI
ISSN:
1660-4601
COBISS.SI-ID:
1818965
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
14.09.2021
Secondary language
Language:
Slovenian
Keywords:
statistični podatki
,
depresija
,
začetna analiza podatkov
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P3-0154
Name:
Metodologija za analizo podatkov v medicini
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