Statistical Codes for Finnish Registry Study on Infections and Dementia Risk

62,555 dementia cases and 312,772 matched controls from nationwide Finnish health registries were analyzed to examine the role of 29 hospital-treated diseases in the association between severe infections and dementia. The study, authored by Pyry N. Sipilä and published on figshare, identified that the increased dementia risk from two infectious diseases was not attributable to 27 other comorbid conditions. The dataset, last updated in March 2026, contains the statistical codes used for this analysis.

Use Cases

• Replicate the statistical analysis of infection-dementia associations based on the described registry study methodology.
• Examine the role of 27 identified comorbid diseases as potential confounders in epidemiological models.
• Study the interaction between infectious and non-infectious diseases in dementia risk using the provided statistical framework.

Strengths

• Analysis is based on a large-scale cohort of 62,555 dementia cases and 312,772 matched controls.
• Study design accounts for key confounders like education, marital status, and employment.
• Data originates from nationwide Finnish health registries, suggesting a population-level scope.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 135.1 KB, indicating it likely contains only code/scripts, not the underlying raw data.
• The description notes an inability to assess psychosocial, behavioral, or biological confounders not captured in registries.

Provenance

Source

figshare, author Pyry N. Sipilä

Collection Method

Register-based study using nationwide Finnish health registry data.

Time Range

Study includes individuals aged 65+ in Finland in 2016, with dementia diagnoses between 2017 and 2020.

Freshness

Last updated 2026-03-24 17:22:39

Geography

Finland