Predictors, types of Internet use, and the psychological well-being of older adults: A comprehensive model

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dc.article.number6548367
dc.catalogadoraba
dc.contributor.authorRosell Cisternas, Javiera
dc.contributor.authorVergés, Álvaro
dc.contributor.authorMiranda Castillo, Claudia Andrea
dc.contributor.authorSepúlveda Caro, Sofía
dc.contributor.authorGómez, Macarena
dc.date.accessioned2023-09-29T14:53:58Z
dc.date.available2023-09-29T14:53:58Z
dc.date.issued2022
dc.description.abstractObjectives This study aims to evaluate a comprehensive model that includes predictors of use, types of Internet use, and psychological well-being outcomes in the older population. Methods The total sample comprised 650 older Internet users. Structural equation modeling was used to estimate the effect of predictors (i.e., effort expectancy, performance expectancy, social influence, and ageism) on types of Internet use (i.e., information seeking, communication, instrumental use, and leisure) and the impact of the type of use on the psychological well-being of older adults (i.e., depressive and anxious symptomatology). In addition, the indirect effect of different types of Internet use was evaluated, that is, they were considered as mediator variables. Results Effort expectancy, social influence, and ageism predicted different types of Internet use. The relationship between effort expectancy and anxious symptomatology had an indirect effect via information seeking, whereas the relationship between ageism and anxious symptomatology showed an indirect effect via leisure. Discussion The findings support the importance of differentiating the types of Internet use to understand its impact on psychological well-being. Information seeking is associated with anxious symptomatology and is predicted by effort expectancy. On the contrary, leisure is crucial because of its relationship with anxious symptomatology, and less ageism can promote it. This information is useful for developing effective interventions that promote the well-being of older adults through the Internet, including strategies to cope with some online challenges that could lead to negative consequences, such as information overload.
dc.fechaingreso.objetodigital2023-09-28
dc.fuente.origenORCID
dc.identifier.doi10.1093/geronb/gbac054
dc.identifier.eissn1758-5368
dc.identifier.urihttps://doi.org/10.1093/geronb/gbac054
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/74755
dc.information.autorucEscuela de Psicología; Rosell Cisternas, Javiera; 0000-0003-1283-5710; 179907
dc.information.autorucEscuela de Psicología; Vergés, Álvaro; 0000-0002-5138-1312; 165712
dc.information.autorucEscuela de Psicología; Miranda Castillo, Claudia Andrea; 0000-0002-0282-5845; 101494
dc.issue.numero7
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final1196
dc.pagina.inicio1186
dc.revistaThe Journals of Gerontology
dc.rightsacceso restringido
dc.subjectAnxiety
dc.subjectDepression
dc.subjectInternet
dc.subjectOlder adults
dc.subjectTechnology
dc.subjectWell-being
dc.subject.ddc150
dc.subject.deweyPsicologíaes_ES
dc.titlePredictors, types of Internet use, and the psychological well-being of older adults: A comprehensive model
dc.typeartículo
dc.volumen77
sipa.codpersvinculados179907
sipa.codpersvinculados165712
sipa.codpersvinculados101494
sipa.indexWOS
sipa.trazabilidadORCID;25-03-2022
sipa.trazabilidadORCID;2023-09-25
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