Patient Mood and Instrumental Activities of Daily Living in Alzheimer Disease: Relationship Between Patient and Caregiver Reports

Does Mild Functional Impairment Predict Dementia in Older Adults With Normal Cognition?

OBJECTIVES

Functional impairment can be an early indicator of cognitive decline. However, its predictive utility in cognitively normal (CN) older adults remains unclear. This study aimed to determine whether mild functional impairment (MFI) in CN older adults could predict incident dementia over 6 years, in addition to assessing its association with cognitive performance.

DESIGN

A longitudinal study with a 6-year follow-up.

PARTICIPANTS

A cohort of 296 community-dwelling CN older adults.

MEASUREMENTS

MFI was defined by cutoffs for impairment on an objective performance-based and/or subjective questionnaire-based functional assessment. Cox regression analysis was conducted to assess the relationship between MFI and risk of incident dementia and cognitive performances over 6 years. Linear regression analysis examined the association between MFI and baseline cognitive performance.

RESULTS

There were no significant longitudinal associations between MFI and incident dementia or changes in cognitive performance over 6 years. Defining MFI using both performance-based and informant-reported assessments was predictive of dementia. Cross-sectional analyses demonstrated significant associations between MFI and poorer baseline global cognition and performance in attention, visuospatial ability, and executive functioning.

CONCLUSIONS

CN older adults with MFI were not at an increased risk of developing dementia over 6 years. A definition of functional impairment requiring both performance-based and informant-based assessments may be useful in predicting dementia.

Influence of affective states on informant impression of neuropsychiatric symptoms in people living with MCI

Objectives: Alzheimer's disease (AD) and mild cognitive impairment (MCI) are often accompanied by neuropsychiatric symptoms (NPS; e.g. depression/apathy/irritability) causing challenges for people living with dementia/caregivers and predicting worse disease progression. Accurately assessing NPS is critical to research on AD/MCI. However, there are limitations to both self-reports and clinician evaluations; the field often relies on informants to assess NPS. Informants' perception of NPS are influenced by disease and caregiver factors that may lead to biased assessments. We aimed to assess the relationship between participants self-reported affective states (valence/arousal) and informant-reported NPS.Methods: Data from a double-blinded intervention design (primarily testing neurostimulation's effect on NPS) were used to examine the relationship between participant-reported affective states and informant-reported NPS over 1 month. Forty participants (24 females) with MCI and NPS (mean age = 71.7, SD = 7) were enrolled along with informants (primarily spouses/partners) who regularly interact with participants. NPS assessment occurred weekly and at pre- and post-intervention, and participant-reported affective states were assessed at 14 timepoints.Results: Generalized Estimating Equations showed that participant levels of arousal, but not valence, were significantly related to corresponding informant-reported NPS at weekly (arousal: B= -0.59, SE = 0.27, Wald's χ2 = 4.61, p=.032; valence: B = 0.17, SE = 0.19, Wald's χ2 = 0.80, p=.37) and pre-/post- (arousal: B= -4.00, SE = 1.58, Wald's χ2 = 6.42, p=.011; valence: B= -3.34, SE = 1.80, Wald's χ2 = 3.43, p=.06) assessments.Conclusion: The findings indicate that informant-reported NPS may be more strongly influenced by arousal, and informants may be less attuned to valence in people living with MCI.

Effect of online tDCS to left somatomotor cortex on neuropsychiatric symptoms among older adults at risk for dementia

BACKGROUND

Neuropsychiatric symptoms (NPS) in mild cognitive impairment (MCI) cause distress to patients and caregivers, and accelerate progression to dementia. Transcranial direct current stimulation (tDCS) is a promising non-invasive treatment for NPS.

OBJECTIVE/HYPOTHESIS

This pilot study assessed behavioral and neural effects of a 4-week anodal tDCS intervention targeting left sensorimotor cortex (LSMC: left precentral/postcentral gyri) during visual attention (compared to online sham tDCS), in 40 older adults (24 females, mean age = 71) with MCI.

METHODS

A phase 0 double-blinded randomized control trial was conducted. NPS (patient-reported mood symptoms plus a caregiver-reported questionnaire) and fMRI were measured at baseline and immediately post-intervention.

RESULTS

Generalized Estimating Equations found no significant group by time interactions for either NPS measure. However, there was evidence of decreased patient-reported NPS (Wald's χ2 = 3.80, p = .051), decreased LSMC activation during visual attention (Wald's χ2 = 2.93, p = .087), and increased LSMC-amygdala resting-state functional connectivity (rsFC; Wald's χ2 = 3.13, p = .077) in intervention group from pre-to post-intervention. Decrease in LSMC activation (Wald's χ2 = 9.20, p = .002) and increase in LSMC-amygdala rsFC (Wald's χ2 = 4.72, p = .030) related to decreased patient-reported NPS. Increased positive valence across sessions was significantly associated with intervention-related NPS improvement (Wald's χ2 = 22.92, p < .001). There were no findings for caregiver-reported NPS. Effects were stronger for left postcentral compared to left precentral gyrus.

CONCLUSION

We found tentative evidence that tDCS applied to LSMC during visual attention in older adults with MCI improved NPS via changes in LSMC activation and LSMC-amygdala rsFC, suggesting improved emotion regulation. Patient-reported NPS was more sensitive to these changes than caregiver-reports, and effects were strongest for left postcentral gyrus. Follow-up studies should perform precise mechanistic investigation and efficacy testing.

Memory performance mediates the relationship between depression and independence in instrumental activities of daily living among community-dwelling older adults: Evidence from the China Family Panel Study

Our objective was to examine the link between depression and independence in the instrumental activities of daily living (IADLs) and to explore the mediating role of memory performance through a cross-sectional analysis of a nationally representative sample of community-dwelling older adults in China. In total, 3730 respondents age ≥ 60 (51.7% males) from the 2020 survey of the China Family Panel Study (CFPS) constituted the study sample. Their depressive symptoms, memory performance, and independence in the IADLs were measured. Based on the descriptive statistics, bivariate correlation analysis and bootstrapping mediation analysis were conducted. As hypothesized, independence in the IADLs was negatively related to depression, while it was positively associated with memory performance. Moreover, after controlling for demographic factors, memory performance was demonstrated to be a partial mediator between depression and independence in the IADLs. These findings support the development of clinical interventions which prevent disability or maintain the physical functioning of older adults through alleviating depression and enhancing memory performance.

Instrumental Activities of Daily Living by Subjective and Objective Measures: The Impact of Depression and Personality

Objective

Previous research shows that depression and personality are independently associated with self- and informant-reports of the ability to perform instrumental activities of daily living (IADLs). However, less is known about the association between depression and personality and performance-based measures of IADLs. We aimed to determine how depression and personality predict self-and informant-reports of IADL compared to performance-based measures of IADLs in a sample of older adults with normal cognition (NC) and Mild Cognitive Impairment (MCI).

Methods

Participants consisted of 385 older adults with NC (n = 235), or a diagnosis of MCI (n = 150), aged between 76 and 99-years from the Sydney Memory and Ageing Study. Participants underwent comprehensive neuropsychological and clinical assessments to determine global cognition and clinical diagnoses. Personality traits were measured by the NEO Five-Factor Inventory (NEO-FFI) and depression by the Geriatric Depression Scale (GDS). Subjective IADLs were self- and informant-reported Bayer Activities of Daily Living (B-ADL) scales and objective IADL was the Sydney Test of Activities of Daily Living in Memory Disorders (STAM). Linear regressions examined the relationship between depression and personality and the three types of IADL measures, controlling for all covariates and global cognition.

Results

Participant-reported IADL, although associated with global cognition, was more strongly associated with GDS and NEO-FFI scores (conscientiousness and neuroticism). Informant-reported IADL was strongly associated with both global cognition and participants' GDS scores. STAM scores were not associated with participants' GDS or NEO-FFI scores; instead, they were predicted by demographics and global cognition.

Conclusion

These results suggest that performance-based measures of IADL may provide more objective and reliable insight into an individual's underlying functional ability and are less impacted by the participants' mood and personality compared to subjectively reported IADL. We argue that performance-based IADL measures are preferable when trying to accurately assess everyday functional ability and its relationship to cognitive status. Where performance-based measures are not available (e.g., in some clinical settings), informant ratings should be sought as they are less influenced by the participant's personality and mood compared to self-reports.

The Humanistic and Economic Burden of Alzheimer's Disease

Alzheimer's disease (AD) is the leading cause of cognitive impairment and dementia in older individuals (aged ≥ 65 years) throughout the world. As a result of these progressive deficits in cognitive, emotional, and physical function, AD dementia can cause functional disability and loss of independence. To gain a deeper understanding of the recent literature on the burden of AD, including that of mild cognitive impairment (MCI) due to AD, we conducted a comprehensive targeted review of the PubMed-indexed literature (2014 to 2021) to examine the humanistic and economic burden of AD (including MCI) in North America, Europe, and Asia. Our literature review identified a range of factors associated with quality of life (QoL): some factors were positively associated with QoL, including caregiver relationship, religiosity, social engagement, and ability to engage in activities of daily living (ADL), whereas other factors such as neuropsychiatric symptoms were associated with poorer QoL. While patient- and proxy-rated QoL are highly correlated in patients with early AD dementia, proxy-rated QoL declines more substantially as severity worsens. The maintenance of self-reported QoL in patients with more severe AD dementia may be due to lack of awareness or to adaptation to circumstances. Compared to persons with normal cognition, MCI is associated with a greater cost burden, and individuals with MCI exhibit worse QoL. Key drivers of the societal economic burden of AD include disease severity, dependence level, institutionalization, and comorbidity burden. Evaluation of the impact of a hypothetical disease-modifying treatment delaying the progression from MCI to AD has suggested that such a treatment may result in cost savings.

Relationship between executive dysfunction and neuropsychiatric symptoms and impaired instrumental activities of daily living among patients with very mild Alzheimer's disease

OBJECTIVES

Patients with Alzheimer's disease (AD) experience a gradual loss in their ability to perform instrumental activities of daily living (IADLs) from the early stage. A better understanding of the possible factors associated with IADL decline is important for the development of effective rehabilitation and support programs for patients with AD. Thus, we examined the relationships between comprehensive cognitive functions and neuropsychiatric symptoms and IADLs in patients with very mild AD.

METHODS

In total, 230 outpatients with probable AD were recruited from the Memory Clinic at Kumamoto University Hospital between May 2007 and October 2016. All patients scored ≥21 points on the Mini-Mental State Examination at the first assessment. Relationships between the subdomains of the Lawton IADL scale and neuropsychological/neuropsychiatric tests were examined by multiple regression analysis. All analyses were performed separately in men and women.

RESULTS

In female patients, scores on the Frontal Assessment Battery were significantly associated with telephone use ability, shopping, and ability to handle finances. Apathy scores in the Neuropsychiatric Inventory (NPI) were associated with telephone use ability, housekeeping, responsibility for own medications, and ability to handle finances. NPI agitation scores were associated with food preparation and housekeeping. Geriatric Depression Scale scores were associated with telephone use ability and ability to handle finances. In male patients, only NPI apathy scores were associated with telephone use ability.

CONCLUSIONS

These results suggest the importance of properly assessing executive function, depression, and apathy at interventions for impaired IADLs among female patients with very mild AD.

Neuropsychological predictors of health and safety abilities in dementia

The Independent Living Scales Health and Safety (ILS HS) scale is commonly used by neuropsychologists when evaluating older adults' instrumental activities of daily living (IADLs). However, there is a minimal amount of research on its use in dementia populations and, specifically, its relationship to other neuropsychological measures. The present study investigated relationships between the ILS HS scale and measures of cognition and depression. The study utilized archival data from a sample (N = 142) of older adults (mean age = 77.85) diagnosed with dementia, who were evaluated at Saint Louis University Medical Center and administered the ILS HS scale as part of a larger clinical neuropsychological evaluation. Multiple regression analyses demonstrated that up to 37% of the variance in ILS HS performance was accounted for by demographic variables, premorbid intelligence, and cognitive functioning (e.g., global cognition, delayed verbal recall, and executive functioning), and regression models demonstrated medium to large effect sizes. Depression and self- or informant-reported IADLs were unrelated to the ILS HS scale. Results suggest that older adults' ability to function in health and safety-related situations requires a range of cognitive abilities. Performance on these measures may help guide clinical decision making regarding independent living and treatment planning.

A sequence-to-sequence model-based deep learning approach for recognizing activity of daily living for senior care

Ensuring the health and safety of independent-living senior citizens is a growing societal concern. Researchers have developed sensor based systems to monitor senior citizens' Activity of Daily Living (ADL), a set of daily activities that can indicate their self-caring ability. However, most ADL monitoring systems are designed for one specific sensor modality, resulting in less generalizable models that is not flexible to account variations in real-life monitoring settings. Current classic machine learning and deep learning methods do not provide a generalizable solution to recognize complex ADLs for different sensor settings. This study proposes a novel Sequence-to-Sequence model based deep-learning framework to recognize complex ADLs leveraging an activity state representation. The proposed activity state representation integrated motion and environment sensor data without labor-intense feature engineering. We evaluated our proposed framework against several state-of-the-art machine learning and deep learning benchmarks. Overall, our approach outperformed baselines in most performance metrics, accurately recognized complex ADLs from different types of sensor input. This framework can generalize to different sensor settings and provide a viable approach to understand senior citizen's daily activity patterns with smart home health monitoring systems.