ILQA-19. Longitudinal Study on Older People’s Quality of Life during the Covid-19 pandemic (2021)

Sala, Emanuela (Università degli Studi di Milano-Bicocca)
Melis, Giulia (Università degli Studi di Milano-Bicocca)
Zaccaria, Daniele (Scuola Universitaria Professionale della Svizzera Italiana)


Changelog (Archive version):

1.0 - 30/05/2024
* First import routine of the study



Changelog (Source release):

* first release


restricted access

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  • open data
    (all users can use the data - an expense allowance could be required)
  • restricted data
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Data Kind:
individual data

Time Dimensions:
longitudinal (panel)

wave 2

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 second wave of the data collection started in spring 2021, using semi-structured video-interviews, involving 31 individuals. The interview explores changes occurred in older people’s everyday life, the role of social relationships and social media use during the lockdown, and representation and social inclusion of older adults.


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
  • 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: 31 individuals. Snowball sampling

    Weight: No weight used

    Collection Mode: face to face interview

    Collection Size: UniData supplies: 31 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) (35 file)


    Script (pdf):
    Data List (pdf):
    Data Archive Notes (pdf):
    DDI Documentation:
    DDI Documentation


    1. 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.
    2. 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.

    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

    Sala, Emanuela; Melis, Giulia; Zaccaria, Daniele. (2021) ILQA-19. Longitudinal Study on Older People’s Quality of Life during the Covid-19 pandemic. Melis, Giulia [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SN255. Data file version 1.0 doi:10.20366/unimib/unidata/SN255-1.0

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    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.

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    Data are embargoed until 31/10/2024.