Key result
Late-life psychosocial and inactive risk profile linked to ~23% higher incident dementia risk.
Why the study?
Modifiable dementia risk factors rarely occur in isolation, yet their co-occurrence and clustering remain poorly characterized, limiting the identification of high-risk individuals and the development of targeted strategies.
Does membership in specific clusters of modifiable risk factors (cardiometabolic, substance use, psychosocial/physically inactive) increase the risk of incident dementia compared to a lower-risk cluster in late-life adults?
Cohort (n=246,968)
Does membership in specific clusters of modifiable risk factors (cardiometabolic, substance use, psychosocial/physically inactive) increase the risk of incident dementia compared to a lower-risk cluster in late-life adults?
Distinct clusters of modifiable risk factors—including cardiometabolic, substance use, and psychosocial/physical inactivity—are significantly associated with an increased hazard of incident dementia in late life.
Answers are grounded in this paper and cite their sources.
Psychosocial-inactivity cluster was associated with dementia in older adults; extends modifiable risk clustering evidence but leaves causal effects and practice change open.
Background Modifiable dementia risk factors rarely occur in isolation, yet their co-occurrence and clustering remain poorly characterized, limiting identification of high-risk individuals and development of targeted strategies. Objective To identify clusters of ten modifiable risk factors in mid-life (45–65 years) and late-life (>65 years), and to examine their association with incident dementia. Methods Data were drawn from the 2012 Dutch Public Health Monitor Survey (mid-life: n = 121,120; late-life: n = 125,848), with dementia follow-up through 2023. Ten modifiable risk factors: obesity, hypertension, diabetes, hearing loss, visual loss, physical inactivity, excessive alcohol consumption, smoking, loneliness, and depression, were used to derive clusters using latent class analysis. Cox proportional hazards models examined the association between late-life clusters and incident dementia. Results In mid-life (mean age, 55.7 ± 6.2 years), four risk factor clusters were identified: cardiometabolic, substance use, psychosocial, and lower risk. In late-life (mean age, 73.9 ± 6.4 years), four clusters were identified: cardiometabolic, substance use, psychosocial and physically inactive, and lower risk. After adjustment for sociodemographic factors, the psychosocial and physically inactive cluster was associated with the highest hazard of dementia (hazard ratio (HR), 1.23; 95% CI, 1.16–1.32), followed by the substance use (HR, 1.16; 95% CI, 1.09–1.24) and the cardiometabolic cluster (HR, 1.12; 95% CI, 1.07–1.18). Conclusions Distinct risk factor clusters were identified at both mid-life and late-life; the psychosocial and physically inactive cluster carried the highest risk of dementia. These findings underscore the importance of considering risk factor clustering when designing targeted interventions to reduce dementia risk across the life course.
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Baal et al. (2026) conducted a cohort in Incident dementia (n=246,968). Late-life modifiable dementia risk factor clusters (psychosocial and physically inactive, substance use, cardiometabolic) vs. Lower risk cluster was evaluated on Incident dementia (HR 1.23, 95% CI 1.16-1.32). In late-life, the psychosocial and physically inactive risk factor cluster had the highest hazard of incident dementia vs the lower-risk cluster (HR 1.23; 95% CI 1.16-1.32).
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