@article{3129,
  keywords = {Aging, Internet, Hidden Markov Models, Psychological, Self-Organization, ELSA},
  author = {Alejandro Cervantes and David Quintana and Yago Saez and Pedro Isasi},
  title = {Longitudinal Segmented Analysis of Internet Usage and Well-Being Among Older Adults},
  abstract = {The connection between digital literacy and the three core dimensions of psychological well-being is not yet well understood, and the evidence is controversial. We analyzed a sample of 2,314 individuals, aged 50 years and older, that participated in the English Longitudinal Study of Aging. Participants were clustered according to drivers of psychological well-being using Self-Organizing Maps. The resulting groups were subsequently studied separately using generalized estimating equations fitted on 2-year lagged repeated measures using three scales to capture the dimensions of well-being and Markov models. The clustering analysis suggested the existence of four different groups of participants. Statistical models found differences in the connection between internet use and psychological well-being depending on the group. The Markov models showed a clear association between internet use and the potential for transition among groups of the population characterized, among other things, by higher levels of psychological well-being.},
  year = {9998},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {In Press},
  chapter = {1},
  number = {In Press},
  pages = {1-9},
  month = {05/2022},
  issn = {1989-1660},
  url = {https://www.ijimai.org/journal/sites/default/files/2022-05/ip2022_05_002.pdf},
  doi = {10.9781/ijimai.2022.05.002},
}