Cited by 14Technology Use by Older AdultsAging, Elder Care, and Social IssuesAging and Gerontology Research

The experiences of daily smartphone use among older adults in Brazil: A grounded theory analysis

Open access
Gallo, Adriana Martins, Laranjeira, Carlos, Araújo, Juliane Pagliari, Marques, Francielle Renata Danielli Martins, Baccon, Wanessa Cristina, Salci, Maria Aparecida, Carreira, Lígia·2024·Heliyon

Abstract

Background: Digital inclusion of older people is an important agenda for the future and well-being of the older population, as it represents a form of social inclusion with significant gains for healthy aging. The present study aimed to understand the experiences of Brazilian older adults who use smartphones and the implications in their daily lives. Method: A qualitative study was developed using a constructivist grounded approach. Older people (≥60 years) with prior access to a smartphone were invited to participate in the study. Participation took place through semi-structured, audio-recorded interviews. Data collection and analysis occurred simultaneously using a constant comparative approach. Data management and analysis used the Atlas.ti® software. Results: Overall, 37 older people participated, with an average age of 70.60 ± 6.95 years, predominantly female (n = 33), white (n = 25), married (n = 26) and retired (n = 27). The first sample group included 27 older people with family support and the second group included 10 older people without family support (who lived alone in their homes). A core category emerged from the data analysis-"Expanding the personal and social development of older adults through smartphone communication"-around which three main categories emerged: 1) The smartphone as "a window to the world"; 2) The problem of misinformation and fake news on virtual networks; 3) Technological paradoxes in the use of smartphones. Conclusions: The digital transition associated with smartphone use brings unimaginable benefits to older adults who adopt positive habits to improve their well-being and expand their social connections, following efforts proposed by the Decade of Healthy Aging. However, older adults still face disparities and experience a significant digital divide, which represents a major challenge. Barriers to access are further aggravated in developing countries. We hope this study contributes to public health policies on digital inclusion and healthy aging.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.heliyon.2024.e35120

Cites

68 of 69 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Auckland and Rio de Janeiro are locations with widespread smartphone use, which increases the volume and continuity of available mobility traces.

    “Auckland and Rio de Janeiro are also locations with widespread smartphone use, increasing the volume and continuity of available mobility traces (Crothers et al. 2016;Gallo et al. 2024).”

    From Visitation patterns across mobility groups: wandering, commuting, and exploring (2026) · cites this paper as Gallo et al. 2024

    The Introduction reports rising internet access among older adults in Brazil and says cellular devices were their main means of accessing it. That offers limited support for widespread mobile-device use, but the paper does not establish smartphone prevalence in Rio de Janeiro or link it to the volume or continuity of mobility traces. The Study limitations section says its participants lived in Paraná, not Rio de Janeiro. (LLM, conf=0.82)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [51]Ikeuchi T. Itoh S. Miwa H. Watanabe K. Wakui T. Does smartphone use make older adults feel younger? A cross-sectional online survey during the COVID-19 pandemic Int. J. Environ. Res. Publ. Health 20 3 2023 1710 10.3390/ijerph20031710 PMC9914656 36767089 · DOI

Cited by

Sorted by citations

Authors
Gallo, A. M., Laranjeira, C., Araújo, J. P., Marques, F. R. D. M., Baccon, W. C., Salci, M. A., & Carreira, L.
Affiliations
  • Universidade Estadual de Maringá (BR)
  • Universidade de Leiria e Oeste (PT)
  • Universidade Estadual de Londrina (BR)
Corresponding author
  • Gallo, Adriana Martins
  • Laranjeira, Carlos
  • Araújo, Juliane Pagliari
  • Marques, Francielle Renata Danielli Martins
  • Baccon, Wanessa Cristina
  • Salci, Maria Aparecida
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-08
Volume
10
Issue
15
Pages
e35120
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4401016229
Cited by
11
References
69
Citations by year
2026: 5 · 2025: 6
FWCI
9.44
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
Fundação para a Ciência e a Tecnologia (UIDB/05704/2020, UIDP/05704/2020)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
Keywords
older adults, smartphone use, digital inclusion, healthy aging, social connectedness, misinformation, fake news, digital divide, family support, living alone, well-being

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review