Latent Classes and Progression of MMSE in Young-Onset Dementia: Data from the Swedish Dementia Register
2024

Progression of Dementia in Younger Adults

Sample size: 1025 publication Evidence: moderate

Author Information

Author(s): Finkel Deborah, Kårelind Fanny, Zarit Steven, Bielsten Therése, Wijk Helle, Johansson Linda

Primary Institution: University of Southern California

Hypothesis

The study examines the heterogeneity in the progression of young-onset dementia and the role of demographic and support variables.

Conclusion

Young-onset dementia shows significant variability in progression, similar to later-onset dementia, highlighting the need for early diagnosis and tailored support.

Supporting Evidence

  • Growth mixture models identified 4 classes of dementia progression.
  • Group 2 had the highest proportion of Alzheimer's Disease diagnosis.
  • Group 4 was most likely to participate in adult daycare.
  • Group 2 was most likely to have home health assistance.

Takeaway

This study found that younger people with dementia can have very different experiences and needs, so it's important to help them get the right support early on.

Methodology

Growth mixture models were used to analyze the progression of dementia in adults with young onset dementia registered in the Swedish Dementia Register.

Participant Demographics

Participants were adults registered in the Swedish Dementia Register prior to age 65, with a mean age of 59.3 years, and 55% were women.

Digital Object Identifier (DOI)

10.1093/geroni/igae098.1723

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