SN256

ILQA-19. Longitudinal Study on Older People’s Quality of Life during the Covid-19 pandemic (2022-2023)

Carlo, Simone (Università Cattolica del Sacro Cuore)
Sala, Emanuela (Università degli Studi di Milano-Bicocca)
Melis, Giulia (Università degli Studi di Milano-Bicocca)
Diodati, Francesco (Università Cattolica del Sacro Cuore)
Zaccaria, Daniele (Scuola Universitaria Professionale della Svizzera Italiana)

Version:
1.0

Changelog (Archive version):

1.0 - 10/07/2024
* First import routine of the study

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Release:
1.0

Changelog (Source release):

2024-07-02
* first release with anonymisation of direct or indirect identifiers

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Availability:
restricted access

UniData provides two kind of data access:

  • open data
    (all users can use the data - an expense allowance could be required)
  • restricted data
    (the data use is limited - see below)

Data Kind:
individual data

Time Dimensions:
longitudinal (panel)

Cycle/wave/round:
wave 3

Methodological Notes:
Methodological Notes
other documentation

ILQA-19 is a longitudinal qualitative case study. It investigates the social consequences of the Covid-19 pandemic on older people’s well-being and everyday life. It is conducted on a purposive sample of 40 older men and women aged between 65 and 80 living in the ten villages (located in the Northern part of Italy) that experienced the first lockdown in Europe.

 

All data collection phases, i.e. recruitment, interviewing, and gaining informed consent, were performed by remote. We also adopted innovative protocols to recruit a heterogeneous sample, allowing everyone to participate in the study regardless of their digital literacy.

 

The third wave of the data collection started in autumn 2022, using semi-structured video-interviews, involving 40 individuals. The interview explores older’adults experience of the digitalization of public services.

 

For information on the other waves:


Keywords: , , , ,


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Topic Classification:

  • HEALTH - health policy
  • HEALTH - physical fitness and exercise
  • HEALTH - specific diseases and medical conditions
  • SCIENCE AND TECHNOLOGY - information technology
  • SOCIAL STRATIFICATION AND GROUPINGS - elderly
  • SOCIETY AND CULTURE - social behaviour and attitudes

    • Nations: Italy

    Geographical Cover:
    Municipality of Bertonico
    Municipality of Casalpusterlengo
    Municipality of Castelgerundo
    Municipality of Castiglione D’Adda
    Municipality of Codogno
    Municipality of Fombio
    Municipality of Maleo
    Municipality of San Fiorano
    Municipality of Somaglia
    Municipality of Terranova dei Passerini

    Geographical Unit: not applicable

    Analysis Unit: individual

    Universe: Residents in the municipalities covered by the research aged 65 to 80 years

    Sample Procedure: 40 individuals, including 22 individuals already interviewed in previous waves and 18 new individuals included through snowball sampling

    Weight: No weight used

    Collection Mode: face to face interview

    Collection Size: UniData supplies: 40 interview's transcriptions in MS Word format (ita), 1 interview script in PDF format (ita), 1 methodological notes in PDF format (ita), 1 Data List in PDF format (ita), 1 Archive notes in PDF format (ita) (44 file)

    Documentation:

    Script (pdf):
    267.09 KB
    Data List (pdf):
    153.08 KB
    Data Archive Notes (pdf):
    145.42 KB
    DDI Documentation:
    DDI Documentation

    Publications:

    1. Carlo, S., Nanetti, S. (2023). COVID-19 emergency: Boosting digitalization and a missed opportunity for acquiring digital literacy in the old population. Social Theory, Empirics, Policy and Practice, 28 (28), 54-70. https://dx.doi.org/10.15388/stepp.2023.27.12
    2. Garavaglia, E., Caliandro, A., Melis, G., Sala, E., & Zaccaria, D. (2023). Contrasting ageism in research on older adults and digital technologies: A methodological reflection. Digital Ageism (pp. 248-265). Routledge. https://doi.org/10.4324/9781003323686-14
    3. Melis, G., Sala, E., & Zaccaria, D. (2022). The Role of Information and Communication Technologies in Researching Older People During the Covid-19 Pandemic. In Q. Gao & J. Zhou (A c. Di), Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance (pp. 53–68). Springer International Publishing. https://doi.org/10.1007/978-3-031-05581-2_5

    Data Use Restriction:
    Data are released for research and teaching purposes only and are subject to authorization. The redistribution to the third party, even in partial form, of data is not allowed. Please, contact UniData's archive in order to data access.
    Source Contact: Emanuela Sala

    Citation:
    Carlo, Simone; Sala, Emanuela; Melis, Giulia; Diodati, Francesco; Zaccaria, Daniele. (2022-2023) ILQA-19. Longitudinal Study on Older People’s Quality of Life during the Covid-19 pandemic. Nanetti, Sara [Producer]. Carlo, Simone [Producer]. Diodati, Francesco [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SN256. Data file version 1.0 doi:10.20366/unimib/unidata/SN256-1.0

    Deposit Requirement:
    The user is obliged to quote all data and documents disseminated by UniData and used in the own publications, using the information previously showed. The user is also obliged to send UniData the bibliographic citations related to the publications where the requested data and documents are used.

    Disclaimer:
    Neither the depositor nor UniData bear any responsibility for the analysis or interpretation of the data produced by the user.

    Notes:

    Data are embargoed until 07/01/2025.