Prevalence, Clinical Correlates, Cognitive Trajectories, and Dementia Risk Associated With Mild Behavioral Impairment in Asians.

Mild behavioral impairment (MBI) is characterized as later-life-emergent and persistent neuropsychiatric symptoms (NPS). The symptom persistence criterion of MBI has shown to increase the signal-to-noise ratio of the syndrome, decreasing the likelihood of false-positive NPS. However, the long-term cognitive and prognostic impact of MBI remains to be evaluated against the traditional framework of NPS, especially in Asian cohorts. This study investigated the epidemiologic characteristics of MBI in a prospective clinical cohort of Singaporean elderly. A total of 304 dementia-free individuals (mean [SD] age = 72.2 [8.0] years, 51.6% female) were recruited between August 2010 and October 2019. All participants underwent annual neuropsychological, neuropsychiatric, and clinical assessments for 4 consecutive years and were diagnosed as having no cognitive impairment (NCI) or cognitive impairment-no dementia (CIND). MBI was ascertained using both baseline and year-1 Neuropsychiatric Inventory assessments. Cognitive -scores and Clinical Dementia Rating Sum-of-Boxes (CDR-SoB) scores were calculated. The prevalence of MBI was 14.5% (7.1% of NCI, 12.9% of CIND-mild, and 24.7% of CIND-moderate patients). MBI patients showed poorer cognitive function at baseline ( = 8.13 [SE = 0.47],  = .005), primarily in memory and executive function domains. MBI was associated with accelerated decline in global cognition ( = -0.15; 95% CI, -0.23 to -0.07) along with faster increase in CDR-SoB ( = 0.92; 95% CI, 0.62 to 1.21) as compared to individuals without symptoms or transient NPS. A total of 38.6% of MBI patients developed dementia as compared to 12.3% of non-MBI elderly (χ = 19.29,  < .001). MBI increased risk of incident dementia by 2.56-fold as compared to no symptoms or transient NPS, regardless of cognitive impairment. MBI is a neurobehavioral risk factor for dementia, representing a potential target for dementia risk modeling, preventive intervention, and disease management.