Mild Behavioral Impairment Checklist Research Articles

Mild Behavioral Impairment and Quality of Life in Community Dwelling Older Adults.

Mild behavioral impairment (MBI) is a dementia risk indicator in older adults characterized by later-life emergent and persistent neuropsychiatric symptoms. Quality of life (QoL) is a multi-dimensional concept encompassing physical, spiritual, and emotional well-being. QoL aims to measure and quantify perceptions of individual health, well-being, standard of living, personal fulfillment, and satisfaction. As MBI symptoms may arise from early-stage neurodegenerative disease, MBI may contribute to declining QoL before dementia onset. In this study, we investigated the relationship between symptoms of MBI and QoL in older adults. The sample comprised 1107 individuals aged ≥ 50years from the Canadian Platform for Research Online to Investigate Health, Quality of Life, Cognition, Behavior, Function, and Caregiving in Aging (CAN-PROTECT). Multivariable linear regressions were used to model the associations between MBI symptom severity (exposure), measured using the MBI Checklist (MBI-C), and QoL (outcome) assessed by the EuroQol-5D (EQ-5D, higher score=poorer QoL) and the novel Quality of Life and Function Five Domain Scale (QFS-5) (QFS-5, lower score=poorer QoL). Covariates were age, sex, cognition, education, ethnocultural origin, marital status, employment status, high blood pressure, heart disease, and diabetes. Moderation analysis explored potential sex differences. A sensitivity analysis was performed removing anxiety/depression items from the EQ-5D score. Across the sample (mean age=64.4±7.2, 79.4% female) every 1-point increase in MBI-C score was associated with a 0.06-point standard deviation (SD) increase in EQ-5D score (95% confidence interval (CI): 0.05-0.06, p<0.001) and 0.08 SD decrease in QFS-5 score (95% CI: -0.09 to -0.08, p<0.001). Neither association depended on sex (p=0.59 and p=0.41, respectively). The association remained significant after removing anxiety/depression items from the EQ-5D score (β=0.04, 95% CI: 0.03- 0.04, p<0.001). The study shows that MBI is associated with poorer QoL, independent of sex, on two QoL scales. We addressed depression/anxiety items in the EQ-5D as a potential confounder for the observed MBI-QoL association by conducting a sensitivity analysis that excluded those items from the EQ-5D total score and by employing a novel measure of QoL (QFS-5) that excludes psychiatric symptoms from measurement of QoL. Associations of MBI with the novel QFS-5 were similar to associations between MBI and the EQ-5D. Finding interventions to reduce the burden of MBI symptoms might improve quality of life.

Personality traits and measures of neuropsychiatric symptoms

Objectives Changes in personality and behavioral symptoms are a core clinical criterion for the diagnosis of dementia. This study examines the association between caregiver-rated personality traits and multiple measures of neuropsychiatric symptoms. Method Caregivers of individuals with dementia (N = 191) or cancer (N = 137) provided premorbid and concurrent personality trait ratings using the Big Five Inventory-2. Caregivers also completed the Mild Behavioral Impairment Checklist, Neuropsychiatric Inventory Questionnaire, and Revised Memory and Behavior Problems Checklist. Results In the combined sample, high concurrent neuroticism was associated with emotional dysregulation (r = 0.51), low agreeableness with impulse dyscontrol (r=-0.40), and low conscientiousness with decreased motivation (r=-0.42). Associations were similar across neuropsychiatric symptom scales, similar across cancer and dementia, but stronger with concurrent than premorbid personality ratings, and stronger for the individuals with mild than moderate-severe dementia. Conclusion Personality was associated with neuropsychiatric symptoms, including with the measure for mild behavioral impairment. Personality had stronger associations when concurrently assessed, indicating that personality traits co-develop with neuropsychiatric symptoms. The associations were similar across cancer and dementia, suggesting transdiagnostic processes not limited to dementia. Neuropsychiatric symptoms are partly an expression of personality; accounting for personality traits could help with diagnosis and disease monitoring, tailoring interventions, and fostering person-centered care.

Validity and Reliability of the Turkish Version of Mild Behavioral Impairment Checklist in Patients With Cognitive Impairment.

The Mild Behavioral Impairment-Checklist (MBI-C) was developed to detect and standardize neuropsychiatric symptoms. The objective of this study was to evaluate the Turkish adaptation, validity, and reliability of the MBI-C. The sample of our study consisted of 80 patients with cognitive impairment and a control group with 113 participants whose cognitive impairment was not detected in standard tests. Participants were evaluated with the Standardized Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Geriatric Depression Scale-15 (GDS-15), MBI-C and Neuropsychiatric Inventory (NPI). In the reliability analysis, the Cronbach-alpha value for MBI-C was found to be .810. In the ROC analysis performed with the total MBI-C score, the area under the curve (AUC) was calculated as .821 and the cut-off score was determined as 8.5; sensitivity was calculated as .77 and specificity as .83. A strong positive correlation was found between test-retest MBI-C scores (r = .886, P < .0019). A strong positive correlation was found between MBI-C and NPI scores (r = .964, P < .001). MBI-C scores were significantly negatively correlated with MMSE and MoCA scores and positively correlated with GDS-15 scores. The results of our study showed that the Turkish version of the MBI-C is a valid and reliable measurement.

Relationship between Loneliness and Mild Behavioral Impairment: Validation of the Japanese Version of the MBI Checklist and a Cross-Sectional Study.

Mild behavioral impairment (MBI) and loneliness are associated with cognitive decline and an increased risk of dementia. Our aim was to examine the validity of the Japanese version of the MBI checklist (MBI-C) and investigate the relationship between loneliness and MBI. The participants in this cross-sectional study included 5 cognitively normal persons and 75 persons with mild cognitive impairment. MBI-C and the revised University of California at Los Angeles loneliness scale (LS) were used to assess MBI and loneliness, respectively. Diagnostic performance of MBI-C was examined using receiver operating characteristic analysis. The relationship between MBI-C and LS was examined using multiple linear regression in 67 subjects who were assessed with both scales, with MBI-C total or domain score as the dependent variable and LS as the independent variable, adjusted for age, gender, living situation, presence of visual and hearing impairment, and Mini-Mental State Examination score. Per the Youden index, in this mostly MCI sample, the optimal MBI-C cut-off score was 5.5 with sensitivity 0.917 and specificity 0.949. In multiple linear regression analysis, LS score was detected as a significant predictor of MBI-C total scores, and MBI-C decreased motivation, affective dysregulation, and abnormal thought and perception scores. The caregiver-rated Japanese MBI-C has excellent diagnostic performance. Loneliness is associated with a greater MBI burden, especially in the decreased motivation, affective dysregulation, and abnormal thought and perception domains. Interventions for loneliness in older people may have the potential to improve MBI.

Mild behavioral impairment in early Alzheimer’s disease and its association with APOE and BDNF risk genetic polymorphisms

BackgroundMild behavioral impairment (MBI) has been commonly reported in early Alzheimer’s disease (AD) but rarely using biomarker-defined samples. It is also unclear whether genetic polymorphisms influence MBI in such individuals. We thus aimed to examine the association between the cognitive status of participants (amnestic mild cognitive impairment (aMCI-AD) vs cognitively normal (CN) older adults) and MBI severity. Within aMCI-AD, we further examined the association between APOE and BDNF risk genetic polymorphisms and MBI severity.MethodsWe included 62 aMCI-AD participants and 50 CN older adults from the Czech Brain Aging Study. The participants underwent neurological, comprehensive neuropsychological examination, APOE and BDNF genotyping, and magnetic resonance imaging. MBI was diagnosed with the Mild Behavioral Impairment Checklist (MBI-C), and the diagnosis was based on the MBI-C total score ≥ 7. Additionally, self-report instruments for anxiety (the Beck Anxiety Inventory) and depressive symptoms (the Geriatric Depression Scale-15) were administered. The participants were stratified based on the presence of at least one risk allele in genes for APOE (i.e., e4 carriers and non-carriers) and BDNF (i.e., Met carriers and non-carriers). We used linear regressions to examine the associations.ResultsMBI was present in 48.4% of the aMCI-AD individuals. Compared to the CN, aMCI-AD was associated with more affective, apathy, and impulse dyscontrol but not social inappropriateness or psychotic symptoms. Furthermore, aMCI-AD was related to more depressive but not anxiety symptoms on self-report measures. Within the aMCI-AD, there were no associations between APOE e4 and BDNF Met and MBI-C severity. However, a positive association between Met carriership and self-reported anxiety appeared.ConclusionsMBI is frequent in aMCI-AD and related to more severe affective, apathy, and impulse dyscontrol symptoms. APOE and BDNF polymorphisms were not associated with MBI severity separately; however, their combined effect warrants further investigation.

Comparison between self‐ and informant‐rated versions of the Mild behavioral impairment checklist in patients with mild cognitive impairment

AbstractBackgroundMild behavioral impairment (MBI) describes de novo emergent and persistent neuropsychiatric symptoms in older individuals. MBI is common in individuals with mild cognitive impairment (MCI), but self‐endorsed symptoms may not align with reports from informants. In this study, we explore the consistency between self‐ and informant‐rated versions of the Mild behavioral impairment checklist (MBI‐C), which is used to assess MBI.MethodWe included 68 individuals with MCI (MMSE 26.59±2.55) who underwent neurological, extensive neuropsychological examination and brain MRI within the Czech Brain Aging Study and had no history of prior psychiatric disorder. Both participants and their close informants completed The Czech version of the MBI‐C (MBI‐C self and MBI‐C informant, respectively). The consistency and differences between the MBI‐C self and informant total and domain scores (i.e. motivation, affect, impulse dyscontrol, social inappropriateness and psychotic symptoms), and the presence of MBI based on a cut‐off of ≥7, were examined using Wilcoxon signed‐rank test, the binomial test and Spearman´s rank correlation. Further, we explored the association between the informant‐self score difference with the MMSE as a measure of global cognition.ResultThere was no difference between MBI‐C self and informant total score (both median ratings were 5.0). Among the domain scores, we observed a difference between self and informant ratings in the impulse dyscontrol (Z = ‐2.97, p = 0.003), but not in any other score. Disagreements on the presence of MBI were observed in 19 participants (28%), but both patients and informants were equally likely to disagree on the MBI presence vs. absence. We observed weak to modest correlations between MBI‐C self and informant total and domain scores (rS = 0.34‐0.53, ps&lt;0.01). The informant‐self score difference in MBI‐C impulse dyscontrol was negatively associated with the MMSE (rS = ‐0.39, p = 0.001).ConclusionPatients with MCI and their informants were not consistent regarding the presence of MBI, but among those who disagreed, neither informants nor patients were more likely to report MBI. The informants reported more severe impulse dyscontrol symptoms compared to the patients with MCI themselves and this difference was negatively associated with lower MMSE. The observed inconsistencies provide implications for clinical and research settings.

Clinical Manifestations.

The mild behavioral impairment checklist (MBI-C) designed to capture neuropsychiatric symptoms in the whole spectrum of elder with or without dementia, have been verified in mild behavioral impairment, mild cognitive impairment and Alzheimer's Disease, but never used in the behavioral variant of frontotemporal dementia (bvFTD). Fifty-two patients with bvFTD (mild, n = 30; moderate-severe, n = 22) and 82 community-dwelling elderly individuals (HCs) were enrolled. All subjects were assessed with a full neuropsychological scale including the MBI-C, Neuropsychiatric Inventory Questionnaire (NPI-Q), and Frontal Behavioral Inventory (FBI). Receiver operating characteristic curves were drawn to analyze the sensitivity and specificity of the MBI-C, NPI-Q, and FBI, and cutoff points were determined using the Youden index. The MBI-C and domain scores in all patients with bvFTD were significantly higher than those in HCs. The most common symptoms of bvFTD were apathy (82.7%) and impulse dyscontrol (80.8%). The MBI-C score was positively correlated with the NPI-Q, FBI, and Activities of Daily Living. For differentiating patients with both bvFTD and mild bvFTD from HCs, the optimal MBI-C cutoff point was 5/6 with a sensitivity of 100% and specificity of 82%, and its sensitivity was higher than that of the NPI-Q and FBI. The MBI-C is a sensitive tool for screening behavioral and psychological symptoms in patients with bvFTD, even in the early stages of the disease.

Which Mild Behavioral Impairment‐Checklist (MBI‐C) items discriminate between cognitive diagnoses at baseline and follow‐up? Results from the Compostela Ageing Study (CompAS)

AbstractBackgroundThe Mild Behavioral Impairment Checklist (MBI‐C) is a 34 Neuropsychiatric Symptoms (NPS) checklist for the evaluation of pre‐dementia states. Our aim was to analyze which MBI‐C symptoms could best discriminate between participants with different cognitive outcomes both at baseline and at diagnosis time (after 50‐75 months).MethodA total of 179 participants from the Compostela Aging Study (CompAS) were included in the analyses, 108 identified as Subjective Cognitive Complainers (SCC), 47 diagnosed as Mild Cognitive Impairment (MCI) and 24 diagnosed as dementia. NPS were assessed using the validated Spanish version of the MBI‐C (Mallo et al., 2018) at baseline and 50‐75 months follow‐up. Discriminant analyses were carried out at baseline and follow‐up, being the dependent variable the diagnosis at the follow‐up and the independent variable the MBI‐C scores.ResultThe results of the discriminant analysis at baseline indicated a poor adjustment of the model to the data (Wilk’s lambda = .821; p&lt;.001). At baseline, three items (item 9 “discouraged”, 22 “hoard objects”, and 19 “stubborn/rigid”) discriminate 65% of cases, mostly SCCs (97.2%) (Table 1).The results of the discriminant analysis at follow‐up indicated a much better adjustment of the model to the data (Wilk’s lambda = .468; p&lt;.001) (Table 1).The variance was explained almost exclusively by the first function obtained (53%) while the second only reached 7%. At follow‐up, seven items discriminate between groups (item 4 “unmotivated”, 25 “less sensible”, 26 “talk to strangers”, 21 “food no tasty”, 24 “control difficulties”, 5 “less emotional”, 28 “no social judgement”). These items correctly discriminated the SCC (99%) and the 66.7% of dementia patients, but only 6.8% of the MCI (Figure 1).ConclusionModel fit at baseline was poor, and almost exclusively discriminate SCC. The discrimination power increased as the MBI‐C measure were close to the diagnosis, especially for dementia.Distal prediction of dementia nor predementia states using NPS was not successful though some MBI‐C items showed slight better performance at baseline than in follow‐up.

The assessment of Mild Behavioral Impairment (MBI): Some methodological issues

Objective:The assessment of MBI involves two important issues: 1) to know the underlying structure of the Mild Behavioral Impairment Checklist (MBI-C) a questionnaire designed to evaluates Neuropsychiatric Symptoms (NPS) in pre-dementia states; and 2) to consider self and proxy (i.e., study partner) symptom ratings that may not capture comparable samples. Our objective is to give some answer to these questions: first, to analyze the underlying structure of the MBI-C at baseline and follow-up using Multidimensional Scaling (MDS) and two, to determine how self and proxy ratings and the choice of rating type impact in the results of the MBI-C.Methods:To analyze MBI-C structure, 200 Subjective Cognitive Decline and Mild Cognitive Impairment patients from the CompAS longitudinal study completed baseline and follow-up assessments. Two-step bidimensional weighted dichotomous MDS were performed. All items were included in the first step. Items closely associated with each dimension (1 SD above or below the mean) were selected in a second step to obtain the final models solution.We will also present a review of the literature on the importance of self and proxy MBI-C ratings. We will also present new empirical evidence based on data from over 10,000 cognitively normal.Results:Results from baseline and follow-up showed two dimensions: Dimension I (right-left) differentiate high and low emotional activation and Dimension II (top-down) high and low behavioral activation. The combination of both generates 4 quadrants: resistance, restlessness, flattening and desolation. The final models were built considering the most relevant items, with little differences between baseline and follow-up. The good fit of the models, type of two-dimensional solution and group weights were similar in baseline and follow-up.Regarding our second objective, the results suggest that self and proxy ratings may not capture comparable samples and that the choice of rating type can indeed impact the conclusions drawn from analysis.Conclusions:The 4 quadrants identified could be the most useful NPS to determine risk factors for predementia patients. Also, the findings suggest that the way of applying the MBI-C has relevant implications.

S4: Mild Behavioral Impairment. Assessment, biological and clinical factors in the cognitive impairment continuum

Symposium OverviewMild Behavioral Impairment (MBI) is a diagnostic construct defined by the later-life emergence of persistent neuropsychiatric symptoms (for example, apathy, anxiety, depression, amongst others) displayed by older adults, with the aim to identify individuals at increasing risk of future dementia. The construct is also related to AD biomarkers including beta-amyloid, tau, and cerebral atrophy. For the assessment of MBI, researchers developed the Mild Behavioral Impairment Checklist (MBI-C) (Ismail et al., 2017) evaluating five domains: decreased motivation, affective dysregulation, impulse dyscontrol, social inappropriateness, and abnormal thought and perception.The purpose of this symposium is to present four contributions that allow increasing our knowledge of the added value of MBI in clinical diagnosis of neurocognitive disorders.Firstly, Dr. Maurits Johansson from Lund University (Malmö, Sweden) presents an overview of the role of MBI in the contemporary clinical diagnostic criteria for AD and some perspectives for treatment in the future.Then, Dr. Sabela C. Mallo from the University of Santiago de Compostela (Spain) and Dr. Byron Creese from the University of Exeter (UK) will talk on methodological issues regarding the MBI-C, the underlying structure of the instrument and the impact of the self and informant ratings in the results of the questionnaire.Dr. Martin Vyhnalek from the Faculty of Medicine of Prague (Czech Republic) will discuss the MBI profile and severity in a sample of β-amyloid positive individuals with amnestic Mild Cognitive Impairment compared to Cognitively Normal older adults.Lastly, Dr. Camilla Elefante and Giulio Emilio Brancati from the University of Pisa (Italy) will analyze the relationships and boundaries between MBI and late-life major primary psychiatric disorders in patients who attend to psychogeriatric settings.

NG‐001: A novel multi‐domain digital cognitive intervention for neuropsychiatric symptoms in mild cognitive impairment

AbstractBackgroundNeuropsychiatric symptoms (NPS) are increasingly recognized as early non‐cognitive manifestations of patients at‐risk of dementia and are associated with accelerated cognitive decline. While cognitive stimulation may be an effective intervention in improving NPS and quality of life of patients and their caregivers, there is a need for a digital intervention that is accessible and scalable so that the benefits of improving behavioral outcomes can be attained on a larger scale. Here, we studied the effectiveness of a novel multi‐domain digital cognitive intervention on NPS among patients with mild cognitive impairment (MCI).MethodWe conducted a pilot 10‐week open‐label clinical trial of 30 MCI patients using the NG‐001, a multi‐domain digital intervention. NG‐001 is a digital program which consists of weekly 1‐hour training in several domains: cognitive games; physical exercise; mindfulness (e.g., yoga and meditation); health literacy; and reminiscence therapy. Participants completed the Depression Anxiety Stress Scale (DASS) and the Mild‐Behavioral Impairment‐Checklist (MBI‐C) at baseline and at the end of the trial. Changes in DASS and MBI‐C scores were assessed using paired Wilcoxon signed ranked tests (two‐tailed) and effect sizes were reported using Hedges’ g.ResultMCI patients showed significant improvements in depression (4.643 vs. 3.214, g = 0.228), anxiety (6.357 vs. 3.786, g = 0.440) and stress (7.786 vs. 5.429, g = 0.356) scores as measured by DASS with NG‐001 intervention (Figure 1). MCI patients also showed significant improvements in MBI‐C total scores (3.29 vs. 1.43, g = 0.47), the apathy sub‐domain scores (0.96 vs. 0.21, g = 0.54), and the affect sub‐domain scores (1.25 vs. 0.43, g = 0.47) with NG‐001 intervention (Figure 2). Importantly, there was high compliance among the participants who completed the full 10‐week intervention.ConclusionA 10‐week multi‐domain digital intervention with NG‐001 reduces the severity of NPS among MCI patients. A longer trial with a control arm is needed to further determine the efficacy of NG‐001 for NPS among MCI patients.

NG‐001: A novel multi‐domain digital cognitive intervention for neuropsychiatric symptoms in mild cognitive impairment

AbstractBackgroundNeuropsychiatric symptoms (NPS) are increasingly recognized as early non‐cognitive manifestations of patients at‐risk of dementia and are associated with accelerated cognitive decline. While cognitive stimulation may be an effective intervention in improving NPS and quality of life of patients and their caregivers, there is a need for a digital intervention that is accessible and scalable so that the benefits of improving behavioral outcomes can be attained on a larger scale. Here, we studied the effectiveness of a novel multi‐domain digital cognitive intervention on NPS among patients with mild cognitive impairment (MCI).MethodWe conducted a pilot 10‐week open‐label clinical trial of 30 MCI patients using the NG‐001, a multi‐domain digital intervention. NG‐001 is a digital program which consists of weekly 1‐hour training in several domains: cognitive games; physical exercise; mindfulness (e.g., yoga and meditation); health literacy; and reminiscence therapy. Participants completed the Depression Anxiety Stress Scale (DASS) and the Mild‐Behavioral Impairment‐Checklist (MBI‐C) at baseline and at the end of the trial. Changes in DASS and MBI‐C scores were assessed using paired Wilcoxon signed ranked tests (two‐tailed) and effect sizes were reported using Hedges’ g.ResultMCI patients showed significant improvements in depression (4.643 vs. 3.214, g = 0.228), anxiety (6.357 vs. 3.786, g = 0.440) and stress (7.786 vs. 5.429, g = 0.356) scores as measured by DASS with NG‐001 intervention (Figure 1). MCI patients also showed significant improvements in MBI‐C total scores (3.29 vs. 1.43, g = 0.47), the apathy sub‐domain scores (0.96 vs. 0.21, g = 0.54), and the affect sub‐domain scores (1.25 vs. 0.43, g = 0.47) with NG‐001 intervention (Figure 2). Importantly, there was high compliance among the participants who completed the full 10‐week intervention.ConclusionA 10‐week multi‐domain digital intervention with NG‐001 reduces the severity of NPS among MCI patients. A longer trial with a control arm is needed to further determine the efficacy of NG‐001 for NPS among MCI patients.

Spectrum of Neuropsychiatric Symptoms in Southeast Asians with Prodromal Dementia

AbstractBackgroundBehavioral and psychological symptoms are one of the earliest observable changes when a person experiences cognitive decline. These symptoms are common and are known as Neuropsychiatric symptoms(NPS), which increases risk of progression to dementia. The prevalence of NPS was compared in a cohort of Southeast Asian adults with Subjective Cognitive Decline(SCD) and Mild Cognitive Impairment(MCI).MethodThis study utilized cross‐sectional data from the Biomarkers and Cognition Study, Singapore(BIOCIS). From February to December 2022, participants who met criteria for SCD and MCI in accordance with NIA‐AA’s criteria were classified into two groups, NPS and without‐NPS, based on clinical cut‐offs of Depression Anxiety Stress Scales(DASS) scores. Self‐reported questionnaires assessed behavioral symptoms ‐ Mild Behavioral Impairment‐Checklist(MBI‐C); Dementia‐Quality of Life Instrument(Dem‐QOL); International Physical Activity Questionnaire(IPAQ); and Pittsburgh Sleep Quality Index(PSQI). Group comparisons of data were applied separately using univariate analyses. A Receiver Operating Characteristic analysis was conducted to test the diagnostic performance of MBI‐C total, MBI‐C‐subdomains, and PSQI in distinguishing participants with NPS and without‐NPS.Result488 participants (μ age = 62.7±9.64,42.2% males) were analyzed. 133(27.25%) reported significant NPS symptoms. Participants with NPS reported significantly more symptoms on MBI‐C‐total(p&lt;.001); interest(p&lt;.001); mood(p&lt;.001); control(p&lt;.001), social(p&lt;.001), and beliefs(p&lt;.001) subdomains; poorer sleep(p&lt;.001) and lower quality of life(p&lt;.001) compared to participants without‐NPS(Table 1). MBI‐C‐total, MBI‐C‐mood and MBI‐C‐control subdomains were effective in discriminating between participants with and without NPS, with an acceptable Area Under the Curve: .782(.732‐.833) for MBI‐C‐total, .753(.699‐.807) for MBI‐C‐mood, and .753(.699‐.807) for MBI‐C‐control(Figure 1 and Table 2).ConclusionIn a prodromal cohort of southeast Asians, participants with NPS reported significantly worse scores on MBI‐C‐total and subdomains, specifically ‐ decreased motivation, emotional dysregulation, impulse control, social inappropriateness, abnormal perceptions, as well as poorer sleep quality and a lower quality of life compared to participants without‐NPS. The results are keeping with the strong evidence that behavioral changes are among the first symptoms noticeable to the person themselves as they begin to experience cognitive decline. The self‐reported questionnaires used are easily administered and brief, which has important real‐world relevance for early diagnoses of, and timely intervention for prodromal dementia. Further studies of BIOCIS is on‐going to investigate the impact of NPS on cognitive decline.

Psychometric evaluation of the German version of the Mild Behavioural Impairment Checklist (MBI‐C)

AbstractBackgroundNeuropsychiatric symptoms (NPS) are common in pre‐dementia state and are associated with an increased risk of dementia. The concept of Mild Behavioral Impairment (MBI) addresses this circumstance. However, to date, instruments that measure MBI in a standardized method are lacking. Therefore, the Mild Behavioral Impairment Checklist (MBI‐C) was developed on the basis of the MBI diagnostic criteria. Our aim was to psychometrically evaluate the German version of the MBI‐C.MethodWe interviewed 86 dyads of individuals with either subjective cognitive impairment (SCD), mild cognitive impairment (MCI), or cognitively healthy individuals, paired each of them with a relative and test the reliability, validity and acceptance of the MBI‐C.ResultThe internal consistency of both MBI‐C versions were at a questionable to acceptable level (α = 0.64‐0.86) and the interrater reliability was good to excellent (patients: ICC = 0.94, CI [0.91–0.96]; informants: ICC = 0.86, CI [0.79–0.90]). Informant‐rated MBI‐C correlated strongly with the Neuropsychiatric Inventory (NPI) total score (r = 0.51; p ≤.001). All participants found the MBI‐C acceptable.ConclusionThe German MBI‐C is an instrument to assess MBI in healthy individuals, individuals with SCD, and those with MCI. It has acceptable psychometric properties. Further studies should address a larger sample of individuals in a pre‐dementia state to confirm the findings of our study. Moreover, the factor structure should be investigated.

Mild behavioral impairment in prodromal Alzheimer´s disease and its association with APOE and BDNF risk genetic polymorphisms

Objective:We aimed to examine the profile and severity of mild behavioral impairment (MBI) in a sample of β-amyloid positive individuals with amnestic mild cognitive impairment (aMCI)compared to cognitively normal older adults (CN). Within aMCI, we further examined the potential influence of APOE and BDN Frisk genetic polymorphisms on MBI severity.Methods:We included 64 β-amyloid positive aMCI participants and 50 CN older adults from the Czech Brain Aging Study. The participants underwent neurological, comprehensive neuropsychological examination, APOE and BDNF genotyping, and magnetic resonance imaging.MBI was diagnosed with the Mild behavioral impairment checklist (MBI-C) developed for MBI case detection, and the diagnosis was based on the MBI-C total score ≥7. Additionally, self-report instruments for anxiety (the Beck Anxiety Inventory) and depressive symptoms (the Geriatric Depression Scale-15) were administered. The participants were stratified based on the presence of at least one risk allele in genes for APOE (i.e., e4 carriers and non-carriers) and BDNF (i.e., Met carriers and non-carriers). We used linear regressions to examine the between-group differences.Results:MBI symptoms (MBI-C total score ≥1) were present in 28% CN and 83% aMCI. Almost half (48.4%) of the aMCI individuals met the criteria for the MBI syndrome. Compared to the CN, the aMCI group displayed more affective, apathy, and impulse dyscontrol symptoms (p&lt;0.001) but not social inappropriateness or psychotic symptoms. Furthermore, aMCI participants reported more depressive (p&lt;0.01) but similar anxiety symptoms to CN on self-report measures. Within the aMCI group, APOE e4 and BDNF Met carriers did not differ from non-carriers in the severity of NPS in either instrument. However, the results suggested that an interaction between these polymorphisms influenced self-reported anxiety (p=0.034), with Met carriers/e4 non-carriers reporting the highest anxiety levels.Conclusion:MBI is frequent in prodromal Alzheimer´s disease and characterized by affective, apathy, and impulse dyscontrol symptoms. APOE and BDNF risk genetic polymorphisms did not influence the NPS severity when considered separately; however, their interaction might influence anxiety, which warrants further investigation.The research has received funding from the EEA/ Norway Grants 2014-2021 and the Technology Agency of the Czech Republic – project number TO01000215, Ministry of Health of the Czech Republic, grant no. 19-04-00560, National Institute for Neurological Research (Programme EXCELES, ID Project No. LX22NPO5107) - funded by the European Union – Next Generation EU and GAČR 22-33968S.

74 Neurobehavioral Symptoms of Dementia as a Risk Factor for Poor Caregiver Sleep Quality

Objective:Caregivers to persons with dementia (PWD) consistently report lower sleep quality than non-caregiving controls. Low sleep quality, in addition to being unhealthy for the caregiver, may also impact the quality of care provided to the PWD. One factor that may contribute to poor sleep among caregivers is neurobehavioral symptoms (NBS) of the PWD. NBS, such as mood changes, lack of motivation, and disinhibition, are consistently rated as some of the most distressing symptoms by caregivers. Furthermore, they can include some symptoms related to sleep, such as nighttime wandering and REM sleep behaviors. Prior correlational research indicates a very strong association between NBS of the PWD and sleep quality of the caregiver. However, there are third variables, particularly demographics of the caregiver, which may better explain this relationship. When these variables are controlled in research, findings on the association between PWD NBS and caregiver sleep quality are mixed. Thus, we sought to investigate the relation between PWD NBS and caregiver sleep quality while controlling for caregiver demographics.Participants and Methods:Fifty caregivers to PWD completed a survey containing the Mild Behavioral Impairment Checklist as a measure of PWD NBS, the Pittsburgh Sleep Quality Index as a measure of caregiver sleep quality, and caregiver demographics. The relationship between PWD NBS and caregiver sleep quality was assessed using hierarchical linear regression. First, we examined the relationship between caregiver demographics (age, gender, income) and caregiver sleep quality. Second, we added NBS to the model to assess for incremental predictive utility by examining change in R2.Results:A significant correlation was found between PWD NBS and caregiver sleep quality, with higher PWD NBS associated with worse caregiver sleep quality (r(48) = .34, p = .014). A hierarchal regression found that caregiver demographics explained a non-significant proportion of variance in reported caregiver sleep quality (F(3, 44) = 1.05, p = .382, R2 = .07). When PWD NBS was added in model two, there was a significant change in variance explained in the overall model (F(1,43) = 2.65, p = .046, AR2 = .13, R2 = .20). Across both models, PWD NBS was the only variable significantly associated with caregiver sleep quality (B = .08, p = .011).Conclusions:In line with previous studies, these results indicate a moderate relationship between PWD NBS and caregiver sleep quality. Furthermore, findings suggested that PWD NBS is a risk factor for poor caregiver sleep quality, above and beyond caregiver demographic characteristics. Individuals designing interventions aimed at improving caregiver sleep quality should consider including PWD NBS as an intervention target. Future research should replicate these findings in a longitudinal sample to further evaluate causality.

Application of the mild behavioral impairment checklist in Chinese patients with the behavioral variant of frontotemporal dementia.

The mild behavioral impairment checklist (MBI-C) designed to capture neuropsychiatric symptoms in the whole spectrum of elder with or without dementia, have been verified in mild behavioral impairment, mild cognitive impairment and Alzheimer's Disease, but never used in the behavioral variant of frontotemporal dementia (bvFTD). Fifty-two patients with bvFTD (mild, n = 30; moderate-severe, n = 22) and 82 community-dwelling elderly individuals (HCs) were enrolled. All subjects were assessed with a full neuropsychological scale including the MBI-C, Neuropsychiatric Inventory Questionnaire (NPI-Q), and Frontal Behavioral Inventory (FBI). Receiver operating characteristic curves were drawn to analyze the sensitivity and specificity of the MBI-C, NPI-Q, and FBI, and cutoff points were determined using the Youden index. The MBI-C and domain scores in all patients with bvFTD were significantly higher than those in HCs. The most common symptoms of bvFTD were apathy (82.7%) and impulse dyscontrol (80.8%). The MBI-C score was positively correlated with the NPI-Q, FBI, and Activities of Daily Living. For differentiating patients with both bvFTD and mild bvFTD from HCs, the optimal MBI-C cutoff point was 5.5 with a sensitivity of 100% and specificity of 82%, and its sensitivity was higher than that of the NPI-Q and FBI. The MBI-C is a sensitive tool for screening behavioral and psychological symptoms in patients with bvFTD, even in the early stages of the disease.

Health-related quality of life and mild behavioral impairment in older adults without dementia.

The Mild Behavioral Impairment Checklist (MBI-C) was developed to assess neuropsychiatric symptoms (NPS) and to identify mild behavioral impairment (MBI). This study validated the Taiwanese version of the MBI-C and examined its association of health-related quality of life (HR-QoL). We recruited 242 older individuals without dementia (129 amnestic mild cognitive impairment, 113 cognitively normal). Their family completed the MBI-C, the Neuropsychiatric Inventory Questionnaire (NPI-Q), and instrumental activities of daily living scale. Participants completed the Geriatric Depression Scale (GDS-15), the Mini-Mental State Examination, the 12-item word recall test, the category verbal fluency test and the EuroQol 5 dimensions questionnaire (EQ-5D). Cronbach's α was used to evaluate the internal consistency of the MBI-C. Linear regression models were used to examined the association between MBI-C score and HR-QoL assessed using ED-5D. The prevalence of MBI was 12% of all participants. Cronbach's α of the MBI-C was 0.893. The optimal cut-off point of MBI-C was 7.5 for identifying MBI, with a sensitivity of 100% and specificity of 85%. The MBI-C total score (β=-0.01, 95% confidence interval [CI]=-0.02 to -0.01, p<0.001), MBI-C subdomain of decreased motivation (β=-0.04, 95% CI=-0.05 to -0.02, p<0.001) and emotional dysregulation (β=-0.02, 95% CI=-0.04 to -0.004, p=0.01) were factors related to EQ-5D index scores. Among older adults without dementia, the Taiwanese version of the MBI-C has good reliability and validity for detecting MBI. The total and subdomains of MBI-C were associated with decreased HR-QoL among individuals without dementia.

Fear of Falling as a Behavioral Symptom in Neurocognitive Impaired Patients: Evidence from an Underrepresented Population.

Fear of falling (FoF) is a condition associated with falls, multi-morbidity, and functional impairment. To date it remains unknow which clinical, somatic, socio-demographic, behavioral, and emotional factors are associated with FoF and how these factors interact in people with Alzheimer's disease (AD) and behavioral variant frontotemporal dementia (bvFTD). Identify the association of FoF with clinical, socio-demographic, and neuropsychiatric factors in patients with AD and bvFTD. We evaluated 98 participants, 58 with AD and 40 with bvFTD at mild or moderate stages and assess FoF using the Falls Efficacy Scale-International. Additionally, we analyzed cognitive, physical performance variables, functional impairment, and affective and behavioral symptoms associated with FoF using standardized scales and a regression model analysis. The prevalence of FoF in AD and bvFTD was 51% and 40%, respectively. In the AD group, physical performance [F (3, 53) = 4.318, p = 0.009], the behavioral symptoms model [F (19, 38) = 3.314, p = 0.001], and the anxiety model [F (1, 56) = 13.4, p≤0.01] showed statistically significant values. In addition, the presence of hallucinations assessed with the Neuropsychiatric Inventory and social behavior assessed with the Mild Behavioral Impairment Checklist were significant. In contrast, in the bvFTD group, a homologous group of models was evaluated but we did not find any significant results. FoF in people with AD was related to physical performance, neuropsychiatric symptoms such as apathy and hallucinations, and affective symptoms such as anxiety. However, this pattern was not seen in the bvFTD group, and therefore further studies are required.

Mild behavioral impairment checklist : English-German translation and feasibility study assessing its use in clinical practice

The mild behavioral impairment (MBI) syndrome is defined by the emergence in later life of persistent neuropsychiatric symptoms. The MBI checklist (MBI-C) can be used for systematic detection and documentation of such symptoms. Development of aGerman version of the MBI‑C and assessment of its application in aclinical setting. The MBI‑C was translated from English into German in collaboration with the main author of the original version, and its practical application was then tested on astudy population (n = 21) in agerontopsychiatric inpatient clinic. Patient compliance, understanding of questions, time effort, evaluation procedure and possible discrepancy between patient and family member evaluations were assessed. The German translation of the original MBI‑C obtained certification as an official version and can be downloaded at https://mbitest.org . All 34questions were fully completed by the study population, the level of understanding of questions was good, with the mean time effort being 16 min. In some cases, significant differences between patients' and family members' responses were found. The presence of MBI may indicate the development of an otherwise presymptomatic neurodegenerative dementia syndrome. Hence, the MBI‑C could aid in the early detection of neurodegenerative dementia. By means of the translated version of the MBI‑C presented in this study, this hypothesis can now be tested in German-speaking countries.