Association between pre-diagnostic prevalence of 30 common diseases and the subsequent risk of dementia: a population-based retrospective cohort study in Taiwan

Background: Dementia associates with long-term progression, but the health status of individuals years before diagnosis remains poorly understood. We therefore conducted a large retrospective cohort study to examine the association between early-life morbidity and incident dementia. Methods: We designed a large-scale retrospective matched-cohort study using data from the National Health Insurance Research Database of Taiwan. Individuals newly diagnosed with dementia (2010-2013) were identified as the pre-dementia cohort and matched 1:3 with non-dementia controls. We assessed prevalence and outpatient visits for 30 common conditions (infectious to various of cancers.) between 2000 and 2013, with a backtracking time of 10 years for each individual. Conditional logistic regression was used to estimate odds ratios (ORs) for disease prevalence, while Negative Binomial regression was applied to calculate Incidence Rate Ratios (IRRs) for outpatient visit. Results: From 806,292 individuals, 19 of 30 diseases showed significant associations. Notably, the pre-dementia cohort exhibited a significantly lower prevalence of and fewer hospital visits for 13 conditions compared to controls. These included acute respiratory infections, peripheral inflammatory diseases, and certain digestive system malignancies. Conversely, a significantly higher prevalence was observed in only six conditions, predominantly those associated with direct or indirect brain injury, as well as cancers of the respiratory and urinary systems. Conclusion: Pre-dementia patients showed lower prevalence of most correlated common diseases. These unexpected findings are consistent with the hypothesis that altered peripheral immune function may be involved in the etiology and pathogenesis of dementia, which is beneficial for normal health but detrimental to the brain. Meanwhile, conditions that directly or indirectly contribute to brain damage are more likely to be positively associated with dementia. However, given the observational nature of our study and the absence of immunological biomarkers, these mechanistic interpretations remain speculative and require further validation.

Authors

Institutions

Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2026-04-17
DOI
https://doi.org/10.3389/fnagi.2026.1784183
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association between pre-diagnostic prevalence of 30 common diseases and the subsequent risk of dementia: a population-based retrospective cohort study in Taiwan

Ben‐Chang Shia, Yi‐Wei Kao, Qi Zhu, Di Deng et al.
Frontiers in Aging Neuroscience
Dementia and Cognitive Impairment Research
article

Association between pre-diagnostic prevalence of 30 common diseases and the subsequent risk of dementia: a population-based retrospective cohort study in Taiwan

Ben‐Chang Shia, Yi‐Wei Kao, Qi Zhu, Di Deng, Yuejian Zhang, Yu Zhang, Lei Qin, Tao Lu, Ping Wen, Yibo Li
article en

Abstract

Background: Dementia associates with long-term progression, but the health status of individuals years before diagnosis remains poorly understood. We therefore conducted a large retrospective cohort study to examine the association between early-life morbidity and incident dementia. Methods: We designed a large-scale retrospective matched-cohort study using data from the National Health Insurance Research Database of Taiwan. Individuals newly diagnosed with dementia (2010-2013) were identified as the pre-dementia cohort and matched 1:3 with non-dementia controls. We assessed prevalence and outpatient visits for 30 common conditions (infectious to various of cancers.) between 2000 and 2013, with a backtracking time of 10 years for each individual. Conditional logistic regression was used to estimate odds ratios (ORs) for disease prevalence, while Negative Binomial regression was applied to calculate Incidence Rate Ratios (IRRs) for outpatient visit. Results: From 806,292 individuals, 19 of 30 diseases showed significant associations. Notably, the pre-dementia cohort exhibited a significantly lower prevalence of and fewer hospital visits for 13 conditions compared to controls. These included acute respiratory infections, peripheral inflammatory diseases, and certain digestive system malignancies. Conversely, a significantly higher prevalence was observed in only six conditions, predominantly those associated with direct or indirect brain injury, as well as cancers of the respiratory and urinary systems. Conclusion: Pre-dementia patients showed lower prevalence of most correlated common diseases. These unexpected findings are consistent with the hypothesis that altered peripheral immune function may be involved in the etiology and pathogenesis of dementia, which is beneficial for normal health but detrimental to the brain. Meanwhile, conditions that directly or indirectly contribute to brain damage are more likely to be positively associated with dementia. However, given the observational nature of our study and the absence of immunological biomarkers, these mechanistic interpretations remain speculative and require further validation.

Frontiers in Aging NeuroscienceVol. 18
Fu Jen Catholic University (TW), University of International Business and Economics (CN), Beijing University of Chinese Medicine (CN), Xiamen Municipal Bureau of Science and Technology (CN), Shenzhen Maternity and Child Healthcare Hospital (CN)
Openalex Percentile: Top 19%
Dementia and Cognitive Impairment Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.