IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i18p9684-d635398.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/18/9684/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/18/9684/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rashmita Basu, 2013. "Willingness-to-pay to prevent Alzheimer’s disease: a contingent valuation approach," International Journal of Health Economics and Management, Springer, vol. 13(3), pages 233-245, December.
    2. Hank, Karsten & Jürges, Hendrik & Schupp, Jürgen & Wagner, Gert G., 2006. "Die Messung der Greifkraft als objektives Gesundheitsmaß in sozialwissenschaftlichen Bevölkerungsumfragen: Erhebungsmethodische und inhaltliche Befunde auf der Basis von SHARE und SOEP," Discussion Papers 2006/6, Technische Universität Berlin, School of Economics and Management.
    3. Elder, Harold W. & Rudolph, Patricia M., 2000. "Beliefs and actions: expectations and savings decisions by older Americans," Financial Services Review, Elsevier, vol. 9(1), pages 33-45, 00.
    4. Michael D. Hurd & James P. Smith, 2001. "Anticipated and Actual Bequests," NBER Chapters, in: Themes in the Economics of Aging, pages 357-392, National Bureau of Economic Research, Inc.
    5. John Bound & Michael Schoenbaum & Timothy Waidmann, 1996. "Race Differences in Labor Force Attachment and Disability Status," NBER Working Papers 5536, National Bureau of Economic Research, Inc.
    6. Hugo Benitez-Silva & Moshe Buchinsky & John Rust & Emine Boz & Joseph B. Nichols & Sharbani Roy & Ignez Tristao, 2005. "Health Status, Insurance, and Expenditures in the Transition from Work to Retirement," Department of Economics Working Papers 05-11, Stony Brook University, Department of Economics.
    7. Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008. "Rethinking the measurement of household inflation expectations: preliminary findings," Staff Reports 359, Federal Reserve Bank of New York.
    8. Newton, Nicky J. & Ryan, Lindsay H. & King, Rachel T. & Smith, Jacqui, 2014. "Cohort differences in the marriage–health relationship for midlife women," Social Science & Medicine, Elsevier, vol. 116(C), pages 64-72.
    9. Khwaja, Ahmed & Silverman, Dan & Sloan, Frank, 2007. "Time preference, time discounting, and smoking decisions," Journal of Health Economics, Elsevier, vol. 26(5), pages 927-949, September.
    10. Michael Hurd & James P. Smith, 2002. "Expected Bequests and Their Distribution," NBER Working Papers 9142, National Bureau of Economic Research, Inc.
    11. Tamara Cadet & Shanna L. Burke & Frances Nedjat-Haiem & Louanne Bakk & Mitra Naseh & Adrienne Grudzien & Janice O’Driscoll & Amary Alcide, 2021. "Timing of Immigration Effects Asset Change Among Hispanic Caregivers of Older Family Members," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 561-572, September.
    12. Michael D. Hurd & Susann Rohwedder, 2006. "Some Answers to The Retirement-Consumption Puzzle," Working Papers WR-342, RAND Corporation.
    13. Steven Haider & Gary Solon, 2006. "Life-Cycle Variation in the Association between Current and Lifetime Earnings," American Economic Review, American Economic Association, vol. 96(4), pages 1308-1320, September.
    14. Giovanni Cerullo & Teodora Figueiredo & Constantino Coelho & Cláudia Silva Campos & António Videira-Silva & Joana Carrilho & Luís Midão & Elísio Costa, 2024. "Palliative Care in the Ageing European Population: A Cross-Country Comparison," IJERPH, MDPI, vol. 21(1), pages 1-23, January.
    15. Khwaja, Ahmed & Sloan, Frank & Chung, Sukyung, 2006. "Learning about individual risk and the decision to smoke," International Journal of Industrial Organization, Elsevier, vol. 24(4), pages 683-699, July.
    16. Pamela Giustinelli & Charles F. Manski, 2018. "Survey Measures Of Family Decision Processes For Econometric Analysis Of Schooling Decisions," Economic Inquiry, Western Economic Association International, vol. 56(1), pages 81-99, January.
    17. Steven F. Venti & David A. Wise, 2001. "Choice, Chance, and Wealth Dispersion at Retirement," NBER Chapters, in: Aging Issues in the United States and Japan, pages 25-64, National Bureau of Economic Research, Inc.
    18. Urška Smrke & Nejc Plohl & Izidor Mlakar, 2022. "Aging Adults’ Motivation to Use Embodied Conversational Agents in Instrumental Activities of Daily Living: Results of Latent Profile Analysis," IJERPH, MDPI, vol. 19(4), pages 1-11, February.
    19. Gabriel A. Picone & Frank Sloan & Justin G. Trogdon, 2004. "The effect of the tobacco settlement and smoking bans on alcohol consumption," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1063-1080, October.
    20. Padmaja Ayyagari & Partha Deb & Jason Fletcher & William Gallo & Jody L. Sindelar, 2013. "Understanding Heterogeneity In Price Elasticities In The Demand For Alcohol For Older Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-105, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:18:p:9684-:d:635398. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.