Digital inclusion and Internet use among older adults in Brazil: a cross-sectional study
JL Diniz, ACA Moreira, IX Teixeira… - Revista brasileira de …, 2020 - SciELO Brasil
JL Diniz, ACA Moreira, IX Teixeira, SGV Azevedo, CASL Freitas, IC Maranguape
Revista brasileira de enfermagem, 2020•SciELO BrasilObjectives: To describe the profile of Brazilian older adults who use the Internet, the means
of Internet access and the purpose of Internet use and to verify the existence of association
between socio-demographic variables and variables related to Internet use. Method: Cross-
sectional study with Brazilian older adults who used the social networks Facebook and
WhatsApp. Descriptive, univariate, and bivariate analysis were conducted. Results: 384
older adults participated in the study, mostly women (52.08%), with a mean age of 64.6 …
of Internet access and the purpose of Internet use and to verify the existence of association
between socio-demographic variables and variables related to Internet use. Method: Cross-
sectional study with Brazilian older adults who used the social networks Facebook and
WhatsApp. Descriptive, univariate, and bivariate analysis were conducted. Results: 384
older adults participated in the study, mostly women (52.08%), with a mean age of 64.6 …
Objectives
To describe the profile of Brazilian older adults who use the Internet, the means of Internet access and the purpose of Internet use and to verify the existence of association between socio-demographic variables and variables related to Internet use.
Method
Cross-sectional study with Brazilian older adults who used the social networks Facebook and WhatsApp. Descriptive, univariate, and bivariate analysis were conducted.
Results
384 older adults participated in the study, mostly women (52.08%), with a mean age of 64.6 years old and who used the Internet to address health concerns (65.36%). The main activities on the internet were reading, listening to music, playing games, watching videos and photos (37.30%). The main benefits pointed out were interaction (74.5%), learning (19.2%) and entertainment (19.25%). There were statistically significant differences between time spent online and the variables gender, age, and civil status.
Conclusion
This study showed characteristics of older adults who use the Internet and revealed the possibility of using digital technologies to optimize health care for this population.
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