The aim was to develop a lucidity measure for use with front-line caregivers to describe lucidity episodes among individuals with dementia, neurological and other illnesses and identify associated individual and episodic event characteristics.

Qualitative: An external advisory board reviewed the clarity, breadth, and scope of the conceptual definition and item content. Modified focus groups were conducted with 20 staff and 10 family members who participated using a web-based survey. Data were extracted from Qualtrics for analysis using NVivo. Semi-structured cognitive interviews were conducted with10 health professionals working with older adults with cognitive impairment.

Quantitative: A combined exploratory and confirmatory factor analysis was performed to test for dimensionality. The explained common variance (ECV), calculated as the percent of observed variance was estimated. Estimates of internal consistency such as ordinal alpha and McDonald’s omega were computed in R and Mplus.

Data were collected from 50 staff informants on behalf of 302 residents, 25 with lucidity events. The majority (74%) of those interviewed were certified nursing assistants. Most (58%) of the sample of residents were White and 21% Black or African American. One fourth (25%) were Hispanic or Latino. Most (80% to 90%) of those with lucidity events were reported to have memory deficits and at least 70% required maximal assistance in performing basic tasks such as dressing. Most events (60%) were of short duration (10 minutes or less), and included showing facial expressions (83%) and making eye contact (88%). One half spoke multiple sentences. About half were reported to hold a conversation, and speak coherently to convey needs; 40% were able to remember and mention the name of relatives. Staff reactions were of surprise (60%) shock (52%) and happiness (50%).

Data for item modification derived from the focus groups and cognitive interviews resulted in the final lucidity measure. Internal consistency estimates were high, with most ranging from 0.76 to 0.98. The ECVs were high for most scales, indicative of essential unidimensionality.

The dimensionality and reliability analyses results were strong, and supportive of unidimensional scales with high internal consistency. The feasibility of conducting assessments of lucidity events was established.

The association between sleep quality and cognition is widely established, but the role of aging in this relationship is largely unknown.

To examine how age impacts the sleep–cognition relationship and determine whether there are sensitive ranges when the relationship between sleep and cognition is modified. This investigation could help identify individuals at risk for sleep-related cognitive impairment.

Sample included 711 individuals (ages 36.00–89.83, 59.66 ± 14.91, 55.7 % female) from the Human Connectome Project-Aging (HCP-A).

The association between sleep quality (Pittsburgh Sleep Quality Index, PSQI) and cognition (Crystallized Cognition Composite and Fluid Cognition Composite from the NIH Toolbox, the Trail Making Test, TMT, and the Rey Auditory Verbal Learning Test, RAVLT) was measured using linear regression models, with sex, race, use of sleep medication, hypertension, and years of education as covariates. The interaction between sleep and age on cognition was tested using the moderation analysis, with age as both continuous linear and nonlinear (quadratic) terms.

There was a significant interaction term between the PSQI and nonlinear age term (age2) on TMT-B (p = 0.02) and NIH Toolbox crystallized cognition (p = 0.02), indicating that poor sleep quality was associated with worse performance on these measures (sensitive age ranges 50–75 years for TMT-B and 66–70 years for crystallized cognition).

The sleep–cognition relationship may be modified by age. Individuals in the middle age to early older adulthood age band may be most vulnerable to sleep-related cognitive impairment.

Social isolation and emotional isolation, i.e. loneliness, have been associated with dementia or cognitive decline. In contrast, the relationship of restriction of physical and instrumental activities of daily living to cognitive decline and dementia has been less studied.

We examined multiple quality of life (QoL) indicators, including isolation and restriction of activities, utilizing two validated scales in elders without dementia to determine their associations with cognitive decline and incident dementia that were followed longitudinally over 6 years. We comprehensively controlled for other symptom constellations, including depression and anergia.

A large multi-ethnic prospective study was conducted in northern Manhattan, NYC.

An ethnically diverse sample of 855 non-demented individuals at baseline participated.

The following QoL scales were utilized: Restriction, Anergia, Isolation, Loneliness, and Affective Suffering.

Both Restriction (HR = 2.22, 95% CI [1.42, 3.47], P < .001) and Isolation (HR = 1.78, 95% CI [1.17, 2.70], P = 0.007) were associated with episodic memory and incident dementia, controlling for age, sex, and education. Loneliness and Affective Suffering (depression) were not associated with these outcomes (P’s > .1) with both Restriction and Isolation in the same model for the prediction of dementia, only Restriction remained significant (HR = 1.97, 95% CI [1.24, 3.14], P = 0.004). In cross-lagged panel analyses, Restriction and Isolation had reciprocal influences (P’s < .001), indicating that Restriction at the previous time point influenced current Isolation. Importantly, Restriction (but not Isolation) and Selective Reminding total recall memory demonstrated highly significant direct and reciprocal influences over time (P’s < .001).

Restriction and Isolation were associated with incident dementia. Restriction played a more prominent role in its impact on memory decline. The development of these impairments in QoL, particularly Restriction, may provide warning signs of future cognitive decline and dementia and provide multiple and novel avenues for therapeutic interventions with the goal of delaying the development of cognitive decline and dementia.