What is the Relationship between Health, Mood, and Mild Cognitive Impairment?

A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study

BACKGROUND

The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.

OBJECTIVE

This study aims to develop an ensemble learning framework that adaptively integrates multimodal physiological data collected from wearable wristbands and digital cognitive metrics recorded on tablets, thereby improving the accuracy and practicality of MCI detection.

METHODS

We recruited 843 participants aged 60 years and older from the geriatrics and neurology departments of our collaborating hospitals, who were randomly divided into a development dataset (674/843 participants) and an internal test dataset (169/843 participants) at a 4:1 ratio. In addition, 226 older adults were recruited from 3 external centers to form an external test dataset. We measured their physiological signals (eg, electrodermal activity and photoplethysmography) and digital cognitive parameters (eg, reaction time and test scores) using the clinically certified Empatica 4 wristband and a tablet cognitive screening tool. The collected data underwent rigorous preprocessing, during which features in the time, frequency, and nonlinear domains were extracted from individual physiological signals. To address the challenges (eg, the curse of dimensionality and increased model complexity) posed by high-dimensional features, we developed a dynamic adaptive feature selection optimization algorithm to identify the most impactful subset of features for classification performance. Finally, the accuracy and efficiency of the classification model were improved by optimizing the combination of base learners.

RESULTS

The experimental results indicate that the proposed MCI detection framework achieved classification accuracies of 88.4%, 85.5%, and 84.5% on the development, internal test, and external test datasets, respectively. The area under the curve for the binary classification task was 0.945 (95% CI 0.903-0.986), 0.912 (95% CI 0.859-0.965), and 0.904 (95% CI 0.846-0.962) on these datasets. Furthermore, a statistical analysis of feature subsets during the iterative modeling process revealed that the decay time of skin conductance response, the percentage of continuous normal-to-normal intervals exceeding 50 milliseconds, the ratio of low-frequency to high-frequency (LF/HF) components in heart rate variability, and cognitive time features emerged as the most prevalent and effective indicators. Specifically, compared with healthy individuals, patients with MCI exhibited a longer skin conductance response decay time during cognitive testing (P<.001), a lower percentage of continuous normal-to-normal intervals exceeding 50 milliseconds (P<.001), and higher LF/HF (P<.001), accompanied by greater variability. Similarly, patients with MCI took longer to complete cognitive tests than healthy individuals (P<.001).

CONCLUSIONS

The developed MCI detection framework has demonstrated exemplary performance and stability in large-scale validations. It establishes a new benchmark for noninvasive, effective early MCI detection that can be integrated into routine wearable and tablet-based assessments. Furthermore, the framework enables continuous and convenient self-screening within home or nonspecialized settings, effectively mitigating underresourced health care and geographic location constraints, making it an essential tool in the current fight against neurodegenerative diseases.

Detection of Mild Cognitive Impairment Through Hand Motor Function Under Digital Cognitive Test: Mixed Methods Study

BACKGROUND

Early detection of cognitive impairment or dementia is essential to reduce the incidence of severe neurodegenerative diseases. However, currently available diagnostic tools for detecting mild cognitive impairment (MCI) or dementia are time-consuming, expensive, or not widely accessible. Hence, exploring more effective methods to assist clinicians in detecting MCI is necessary.

OBJECTIVE

In this study, we aimed to explore the feasibility and efficiency of assessing MCI through movement kinetics under tablet-based "drawing and dragging" tasks.

METHODS

We iteratively designed "drawing and dragging" tasks by conducting symposiums, programming, and interviews with stakeholders (neurologists, nurses, engineers, patients with MCI, healthy older adults, and caregivers). Subsequently, stroke patterns and movement kinetics were evaluated in healthy control and MCI groups by comparing 5 categories of features related to hand motor function (ie, time, stroke, frequency, score, and sequence). Finally, user experience with the overall cognitive screening system was investigated using structured questionnaires and unstructured interviews, and their suggestions were recorded.

RESULTS

The "drawing and dragging" tasks can detect MCI effectively, with an average accuracy of 85% (SD 2%). Using statistical comparison of movement kinetics, we discovered that the time- and score-based features are the most effective among all the features. Specifically, compared with the healthy control group, the MCI group showed a significant increase in the time they took for the hand to switch from one stroke to the next, with longer drawing times, slow dragging, and lower scores. In addition, patients with MCI had poorer decision-making strategies and visual perception of drawing sequence features, as evidenced by adding auxiliary information and losing more local details in the drawing. Feedback from user experience indicates that our system is user-friendly and facilitates screening for deficits in self-perception.

CONCLUSIONS

The tablet-based MCI detection system quantitatively assesses hand motor function in older adults and further elucidates the cognitive and behavioral decline phenomenon in patients with MCI. This innovative approach serves to identify and measure digital biomarkers associated with MCI or Alzheimer dementia, enabling the monitoring of changes in patients' executive function and visual perceptual abilities as the disease advances.

Effects of exergaming in older individuals with mild cognitive impairment and dementia: A systematic review and meta-analysis

BACKGROUND

Non-pharmaceutical interventions have been implemented for people with dementia or mild cognitive impairment (MCI). Researchers have used exergaming in dementia to alleviate cognitive decline in patients with dementia.

AIMS

We assessed the effects of exergaming interventions on MCI and dementia.

METHODS

We conducted a systematic review and meta-analysis (PROSPERO [CRD42022347399]). PubMed, Cochrane Library, Web of Science, CINAHL, and Embase electronic databases were searched for randomized controlled trials (RCTs). The impact of exergaming on cognitive function, physical performance, and quality of life in patients with MCI and dementia was investigated.

RESULTS

Ten RCTs met the eligibility criteria and were included in our systematic review. The results of the meta-analysis demonstrated a statistically significant difference in the Mini-mental State Examination, Montreal Cognitive Assessment, Trail Making Test, Chinese version of the Verbal Learning Test, Berg Balance Scale, Short Physical Performance Battery, and Physical Activity Scale for the Elderly in people with dementia and MCI who participated in exergaming. However, there were no significant improvements in the Activities of Daily Living, Instrumental Activity of Daily Living or Quality of Life.

CONCLUSION

Although there were significant differences in cognitive and physical functions, these results should be interpreted with caution because of heterogeneity. The additional benefits of exergaming remain to be confirmed in future studies.

The longitudinal impact of the COVID-19 pandemic on health behaviors, psychosocial factors, and cognitive functioning in older adults

Background: Older adults are at a greater risk for contracting and experiencing severe illness from COVID-19 and may be further affected by pandemic-related precautions (e.g., social distancing and isolation in quarantine). However, the longitudinal impact of the COVID-19 pandemic on older adults is unclear. The current study examines changes in health behaviors, psychosocial factors, and cognitive functioning in a large sample of older adults using a pre-pandemic baseline and longitudinal follow-up throughout 9 months of the COVID-19 pandemic. Methods: One hundred and eighty-nine older adults (ages 65-89) were recruited from a multisite clinical trial to complete additional virtual assessments during the COVID-19 pandemic. Mixed effects models evaluated changes in health behaviors, psychosocial factors, and cognitive functioning during the pandemic compared to a pre-pandemic baseline and over the course of the pandemic (i.e., comparing the first and last COVID-19 timepoints). Results: Compared to their pre-pandemic baseline, during the pandemic, older adults reported worsened sleep quality, perceived physical health and functioning, mental health, slight increases in depression and apathy symptoms, reduced social engagement/perceived social support, but demonstrated better performance on objective cognitive tasks of attention and working memory. Throughout the course of the pandemic, these older adults reported continued worsening of perceived physical health and function, fewer depression symptoms, and they demonstrated improved cognitive performance. It is important to note that changes on self-report mood measures and cognitive performance were relatively small regarding clinical significance. Education largely served as a protective factor, such that greater years of education was generally associated with better outcomes across domains. Conclusions: The present study provides insights into the longitudinal impact of the COVID-19 pandemic on health behaviors, psychosocial factors, and cognitive functioning in a population disproportionately affected by the virus. Replicating this study design in a demographically representative older adult sample is warranted to further inform intervention strategies targeting older adults negatively impacted by the COVID-19 pandemic.

Mediating role of homebound status between depressive symptoms and cognitive impairment among community-dwelling older adults in the USA: a cross-sectional analysis of a cohort study

OBJECTIVE

Depressive symptoms are known modifiable factors of cognitive impairment in older adults. However, the pathway through which depressive symptoms lead to cognitive impairment is not well understood. This study aimed to investigate whether homebound status (defined as usually unable to leave home unassisted) mediates the association between depressive symptoms and cognitive impairment in community-dwelling older adults in the USA.

DESIGN

A secondary analysis of cross-sectional data.

SETTINGS

Communities in the USA.

PARTICIPANTS

Community-dwelling older adults (N=7537) from the 2011 National Health and Aging Trends Study, a nationally representative survey of Medicare Beneficiaries in the USA.

MAIN OUTCOME MEASURES

Participants' cognitive impairment status was classified using a composite measure. Depressive symptoms were assessed using Patient Health Questionnaire-2. Homebound status was determined by the frequency, difficulty and needing help in getting outdoors. We used logistic regression and the Paramed command in STATA to analyse whether homebound mediated the association between depressive symptoms and cognitive impairment.

RESULTS

Participants were on average, 77.7 years old, female (58.3%) and non-Hispanic white (68.1%). About 26% of the participants were classified as having cognitive impairment, 16% reported depressive symptoms and 25% were homebound. Depressive symptoms (adjusted OR, 1.60; 95% CI 1.36 to 1.89) and homebound status (adjusted OR, 1.58; 95% CI 1.34 to 1.86) were independently associated with cognitive impairment. Homebound significantly mediated 12.5% of the total effect between depressive symptoms and cognitive impairment, with significant indirect effect (OR, 1.07; 95% CI 1.04 to 1.10), direct effect (OR, 1.61; 95% CI 1.36 to 1.91) and total effect (OR, 1.72; 95% CI 1.46 to 2.03).

CONCLUSIONS

This study supports a mediating role of homebound status in the relationship between depressive symptoms and cognitive impairment. Interventions to promote outdoor mobility should be studied for their ability to delay cognitive impairment for older adults with depressive symptoms.

Self-management preferences in patients with mild cognitive impairment: A qualitative study

Purpose

Patients with mild cognitive impairment (MCI) require self-management, yet current self-management compliance is low. Taking patients’ preferences into account can improve the self-management situation. The purpose of this study is to look into MCI patients’ preferences for self-management in China.

Methods

A qualitative research was conducted using semi-structured in-depth interviews with 21 patients recently diagnosed with MCI who were chosen by purposive sampling. These interviews were analyzed through thematic analysis and identified emerging themes.

Results

Five themes of self-management preference were identified: (1) Preference for acquiring disease knowledge; (2) Preference for participating in drug therapy; (3) Preference for participating in exercise; (4) Preference for applying memory compensation strategy; (5) Preferences for emotional expression and response.

Conclusion

Our study identified the specific preferences of MCI patients in China for the main self-management items. The findings are valuable insights for knowing MCI patients’ self-management content and preferences and provide better guidance for health practitioners to improve self-management compliance.

A Hospital Information Management System With Habit-Change Features and Medial Analytical Support for Decision Making

A hospital information management system (Doctive) with habit-change features and medial analytical support for decision making is developed in this study to reduce the risks of heart diseases. Doctive is targeted for hospital authorities to monitor patients’ habits and to prescribe medication and advice accordingly. Furthermore, this system provides emergency assistance for patients based on their current location. The proposed system would be beneficial for monitoring and organizing patients’ information to ease data entry, data management, data access, data retrieval and finally decision making. Doctive is tested and evaluated by 41 people who are either medical experts or professionals in the field of data analytics and visualization. The results indicate a high acceptance rate towards using Doctive system in hospitals and very good usability of the system. Doctive can be useful for healthcare providers and developers to track users’ habits for reducing the risk of heart disease. In the future.

Neuropsychiatric Symptoms in Mild Cognitive Impairment: A Literature Review

BACKGROUND

Neuropsychiatric symptoms (NPS) in dementia have received much attention due to their high prevalence and their significant implications. NPS in mild cognitive impairment (MCI), a clinical concept proposed as an intermediate state between normal aging and dementia, is now gradually gaining in interest. We aimed to conduct a selective review to examine the prevalence rate of NPS in MCI and associations of NPS symptoms with disease progression.

SUMMARY

We searched the PubMed database for articles on NPS in MCI and included articles that fulfilled the inclusion criteria. NPS was present in 35-85% of MCI patients. The most common symptoms were depression, irritability, apathy, anxiety, agitation, and sleep problems. Although the associated risk for disease progression of some symptoms, such as apathy and anxiety, was more consistent across studies, evidence was conflicting for symptoms like depression and sleep problems. NPS tend to co-occur, and certain combinations of NPS had a mutual or cumulative effect on disease progression. Late-onset NPS, even in a mild form (mild behavioural impairment) were found to be associated with an increased risk of dementia, even in the absence of cognitive impairment. Key Messages: NPS are highly prevalent in MCI patients and associated with subsequent cognitive deterioration. Late-onset NPS should raise suspicions of neurodegeneration. Future studies with improvised methodology are required to understand the interrelations of NPS and the role they play in the prognosis for patients with MCI.

Can Physical Activity Reduce the Risk of Cognitive Decline in Apolipoprotein e4 Carriers? A Systematic Review

Physical activity (PA) reduces the risk of cognitive decline (CD) in the general population. However, little is known about whether the presence of the apolipoprotein E epsilon 4 allele (APOE e4) could modify this beneficial effect. The aim of this systematic review was to analyze and synthetize the scientific evidence related to PA levels and CD risk in cognitively healthy APOE e4 carriers. Four electronic databases were analyzed. Only original articles with longitudinal study design were selected to analyze the relationship between PA and CD in APOE e4 carriers. Five studies were included in the systematic review. All studies except one stated that PA is a protective factor against CD in APOE e4 carriers. Moreover, partial support was found for the hypothesis that a greater amount and intensity of PA are more beneficial in CD prevention. The results support the idea that PA is a protective factor against CD in APOE e4 carriers. Nevertheless, it would be necessary to carry out further studies that would allow these findings to be contrasted.

The effect of dance interventions on cognition, neuroplasticity, physical function, depression, and quality of life for older adults with mild cognitive impairment: A systematic review and meta-analysis

BACKGROUND

Mild cognitive impairment is an age-related cognitive disorder which is associated with frequent memory lapses, impaired judgement, and progressive functional decline. If untreated early, 39.2% of people with mild cognitive impairment could progress to develop dementia. However, there are currently no approved pharmacological interventions to treat the condition, which lead researchers to explore non-pharmacological options, such as dance therapy.

OBJECTIVES

This systematic review aimed to examine the effectiveness of dance interventions on cognition, neuroplasticity, physical function, depression, and quality of life in older adults with mild cognitive impairment.

METHODS

Seven databases were systematically searched from their respective inception dates to 31 March 2020. Relevant randomized controlled trials (RCTs) were screened and assessed for risk of bias. Eight RCTs evaluating dance interventions were included.

RESULTS

Results showed that dance interventions had a significant moderate effect on global cognition (SMD=0.54, Z = 3.55, p<0.001), significantly improved memory (SMD=0.33, Z = 3.97, p<0.001), visuospatial function (SMD=0.42, Z = 2.41, p = 0.02), and language (SMD=0.39, Z = 2.69, p = 0.007). We found that dance interventions produced a significant moderate effect on physical function (SMD=0.55, Z = 3.43, p<0.001), and a significant effect on quality of life (SMD=0.93, Z = 5.04, p<0.0.001).

CONCLUSION

Dance is a non-pharmacological and inexpensive intervention that can be implemented for older adults on a large scale. It can slow down the cognitive deterioration of older adults with mild cognitive impairment. However, the findings should be interpreted with caution due to the heterogeneity in intervention designs. Rigorous design studies with long-term follow-ups, neuroimaging, biological markers, and comprehensive neuropsychological assessment are required to understand the mechanism of dance interventions and demonstrate its efficacy for older adults with mild cognitive impairment. The protocol was registered on PROSPERO (CRD42020173659).

[Neuropsychiatric symptoms in patients with mild cognitive impairment]

OBJECTIVE

To study the prevalence of neuropsychiatric symptoms (NPS) in patients with mild cognitive impairment (MCI) who asked for help in memory clinics.

MATERIAL AND METHODS

We analysed data on 729 patients with MCI (average age 76.6 years, average MMSE score 25.3), who underwent a course of cognitive neurorehabilitation in a specialized department - a memory clinic. A Russian version of Neuropsychiatric Inventory (NPI) was used. We compared the indicators for the main psychometric scales for the diagnosis of MCI in comparison with the dynamics of NPS.

RESULTS

The prevalence rates for NPS differed in part from those reported in the literature. The most common symptom was anxiety (54.7%) and irritability (56.5%), while euphoria, as well as delusions and hallucinations were not detected. All disorders significantly reduced at the end of the rehabilitation program.

CONCLUSION

MCI influences the level of functioning and social interaction in older patients and mediates the quality of life. Thus, given the increase in life expectancy, it is necessary to introduce new methods of examination applicable in the practice of psychiatrists to diagnose and rehabilitate such patients. NPS turned out to be widespread in MCI, but may reduce during the course of complex neurorehabilitation.

Smartphone-Based Experience Sampling in People With Mild Cognitive Impairment: Feasibility and Usability Study

BACKGROUND

Daily functioning of people with cognitive disorders such as mild cognitive impairment (MCI) is usually depicted by retrospective questionnaires, which can be memory-biased and neglect fluctuations over time or contexts.

OBJECTIVE

This study examines the feasibility and usability of applying the experience sampling method (ESM) in people with MCI to provide a detailed and dynamic picture of behavioral, emotional, and cognitive patterns in everyday life.

METHODS

For 6 consecutive days, 21 people with MCI used an ESM app on their smartphones. At 8 semi-random timepoints per day, participants filled in momentary questionnaires on mood, activities, social context, and subjective cognitive complaints. Feasibility was determined through self-reports and observable human-technology interactions. Usability was demonstrated on an individual and group level.

RESULTS

Of the 21 participants, 3 dropped out due to forgetting to carry their smartphones or forgetting the study instructions. In the remaining 18 individuals, the compliance rate was high, at 78.7%. Participants reported that momentary questions reflected their daily experiences well. Of the 18 participants, 13 (72%) experienced the increase in awareness of their own memory functions as pleasant or neutral.

CONCLUSIONS

Support was found for the general feasibility of smartphone-based experience sampling in people with MCI. However, many older adults with MCI are currently not in possession of smartphones, and study adherence seems challenging for a minority of individuals. Momentary data can increase the insights into daily patterns and may guide the person-tailored development of self-management strategies in clinical settings.

International relevance of two measures of awareness of age-related change (AARC)

BACKGROUND

A questionnaire assessing awareness of positive and negative age-related changes (AARC gains and losses) was developed in the US and Germany. We validated the short form of the measure (AARC-10 SF) and the cognitive functioning subscale from the 50-item version of the AARC (AARC-50) questionnaire in the UK population aged 50 and over.

METHODS

Data from 9410 participants (Mean (SD) age = 65.9 (7.1)) in the PROTECT cohort were used to explore and confirm the psychometric properties of the AARC measures including: validity of the factor structure; reliability; measurement invariance across men and women, individuals with and without a university degree, and in middle age, early old age, and advanced old age; and convergent validity with measures of self-perception of aging and mental, physical, and cognitive health. We explored the relationship between demographic variables (age, sex, marital status, employment, and university education) and AARC.

RESULTS

We confirmed the two-factor structure (gains and losses) of the AARC-10 SF and the AARC-50 cognitive functioning subscale. Both scales showed good reliability and good convergent validity for AARC losses, but weak convergent validity for AARC gains. For both scales metric invariance was held for the two subgroups defined by education level and age. For the AARC-50 subscale, but not for the AARC-10 SF, strong invariance was also held for the two subgroups defined by sex. Age, sex, marital status, employment, and university education predicted AARC gains and losses.

CONCLUSIONS

The AARC-10 SF and AARC-50 cognitive functioning subscale identify UK individuals who perceive age-related changes in their mental, physical, and cognitive health.

Cognitive impairment no dementia and associations with health literacy, self-management skills, and functional health status

OBJECTIVES

To determine the prevalence of cognitive impairment no dementia (CIND) among a diverse, community-based population, and establish associations between CIND and health literacy, chronic disease self-management and functional health status.

METHODS

863 primary care adults without dementia aged 55-74. Adjusted logistic and linear regressions were used to assess associations between CIND (None, Mild, Moderate/Severe) and outcomes.

RESULTS

36 % participants exhibited CIND. It was strongly associated with limited health literacy (Newest Vital Signs: Mild [OR 3.25; 95 % CI 1.93, 5.49], Moderate/Severe [OR 6.45; 95 % CI 3.16, 13.2]; Test of Functional Health Literacy in Adults: Mild [OR 3.46; 95 % CI 2.08, 5.75], Moderate/Severe [OR 8.82; 95 % CI 4.87, 16.0]; all p's < 0.001) and poor chronic disease self-management (Mild [B = -11.2; 95 % CI -13.5, -8.90], Moderate/Severe CI [B = -21.0; 95 % CI -23.6, -18.4]; both p's < 0.001). Associations between CIND and functional health status were non-significant.

CONCLUSIONS

CIND was prevalent in this cohort, and strongly associated with requisite skills for managing everyday health needs.

PRACTICE IMPLICATIONS

Attention to subtle declines in chronic disease self-care may assist with CIND identification and care management within this population. When CIND is observed, clinicians should also expect and address difficulties with self-management.

Cognitive performance in older adults across Europe based on the SHARE database

With ageing mental health issues, as age-related cognitive decline, increase. This study aims to evaluate the prevalence of cognitive impairment among older European adults and to evaluate its association with clinical and sociodemographic variables, using SHARE. Numeracy, temporal orientation, verbal fluency, and memory were the measures used to evaluate cognitive performance. From 44 963 individuals included, mean age was 70.0±9.0 years old and 56.3% were female. Overall prevalence of impairment was of 13.0% (temporal orientation), 24.8% (numeracy), 27.6% (verbal fluency) and 50.5% (memory). Men showed higher impairment prevalence in temporal orientation and memory and lower in numeracy and verbal fluency. Age, fewer years of education, difficulties performing iADLs, physical inactivity, and poor self-perceived health were independently associated with impairment in all cognitive abilities. These results showed the burden of cognitive impairment across Europe. Factors identified as associated should be taken in consideration to develop effective interventions to prevent cognitive decline.

A Potential Association Between Retinal Changes, Subjective Memory Impairment, and Anxiety in Older Adults at Risk for Alzheimer's Disease: A 27-Month Pilot Study

Introduction

The utility of subjective memory impairment (SMI) as a risk marker for preclinical Alzheimer's disease (AD) remains unclear; however, recent studies have identified a correlation between retinal biomarkers and onset of preclinical disease. This study examines the relationship between retinal biomarkers that have been associated with cerebral amyloid, an early hallmark of AD, and SMI scores in patients at risk for developing AD.

Methods

Forty-nine cognitively normal subjects were followed over 27 months and evaluated using a combination of neuropsychological, psychological, and retinal imaging instruments. Subjective memory testing was conducted using the memory assessment clinic questionnaire (MACQ) and Depression, Anxiety, and Stress Scales (DASS). Multivariate linear analysis was conducted using STATA software.

Results

Positive correlations were found between retinal nerve fiber layer (RNFL) volume and scores obtained from the MAC-Q at 27 months (MAC-Q_27), the DASS questionnaire for anxiety at 27 months (DASS-A_27), and the change in DASS-A over 27 months (dDASSA). There was also a significant positive correlation between these variables and the change in RNFL thickness over 27 months (dRNFL). MACQ_27, DASSA_27, and dDASS-A accounted for 35.7% of RFNL variance at 27 months and 21.5% of dRFNL variance.

Discussion

These findings suggest that worse subjective memory complaints and anxiety scores may be associated with one of the most commonly used structural anatomical retinal markers of early disease burden in AD. If so, these results lend support to SMI as a valid risk marker for later cognitive decline.

Prevalence of anxiety in patients with mild cognitive impairment: A systematic review and meta-analysis

BACKGROUND

Prevalence rates of anxiety in patients with mild cognitive impairment (MCI) varied widely across studies and may confer a higher likelihood of progression to dementia. Our aim was to estimate the prevalence of anxiety in MCI and identify reasons for heterogeneity in the reported results.

METHODS

A computerized search in PubMed, EMBASE, and Psyc INFO for studies on anxiety in MCI was performed up to March 2017. The overall prevalence of anxiety in patients with MCI was pooled using a random-effects model. Heterogeneity was explored using stratification (recruitment resource; method of anxiety diagnosis; method of MCI diagnosis; and region) and random-effects meta-regression.

RESULTS

Of 2494 unique abstracts, 290 were selected for full-text review, and 39 studies, representing 10,587 patients, met all inclusion criteria. The overall pooled prevalence of depression in patients with MCI was 21.0% (95% CI, 16.2-26.7) with significant heterogeneity present (I² = 97.2%, p < 0.001). When stratified by source, the prevalence of anxiety in patients with MCI in community-based samples was 14.3% (95% CI, 9.7-20.5) and was 31.2% (95% CI, 23.6-40.0) in clinic-based samples, which was significantly different (p < 0.01). The prevalence of anxiety estimates also differed significantly, when stratification by the method of anxiety diagnosis (p < 0.01). However, the criteria used for MCI diagnosis and geographical region did not significantly influence the prevalence estimate.

LIMITATIONS

We did not consider the usage of anti-anxiety drugs and language bias.

CONCLUSIONS

The prevalence of anxiety in patients with MCI was common and variability in prevalence of anxiety across studies can be attributed partly to the source of the sample and method of anxiety diagnosis. Further research is needed to identify sources of heterogeneity.

A more comprehensive investigation of disability and associated factors among older adults receiving home-based care in rural Dongguan, China

Background

No previous study has evaluated disability in older persons according to the International Classification of Functioning, Disability and Health Framework guidelines. We conducted a more comprehensive investigation of disability and associated factors among older adults receiving home-based care in rural Dongguan, a city in the central Guangdong Province of Southern China.

Methods

A total of 819 individuals aged ≥60 years were recruited from Dongguan home-based care system of via a two-stage selection process. We interviewed participants and assessed their ability level using the Ability Assessment for Older Adults, which defined by a combination of activity of daily living, sensory perception, mental status and social involvement. Conditional probability and Logistic regression approaches were used to assess the strength of association between each pair of conditions. Factors significantly associated with disability were identified via χ² tests and multinomial ordinal logistic regression.

Results

Of the 819 included participants (mean age 87 ±4.7 years), 75.5% were female, 76.7% had any disability, and 62.3% had a mild disability. The occurrence of any deficits significantly increased the likelihood of the co-occurrence of other deficits (odds ratio [OR] > 1, P < 0.05), with the lowest prevalence odds ratio observed among individuals with sensory and communication deficiency (OR: 2.99; 95% confidence interval [CI]: 2.21–4.05). Multivariable ordinal logistic regression analysis indicated that physical activity (OR: 0.96; 95% CI: 0.93–0.99), sedentary behavior (OR: 1.25; 95% CI: 1.13–1.38), not watching television (OR: 1.7; 95% CI: 1.07–2.72) and age (OR: 1.09; 95% CI: 1.02–1.17) were significantly associated with disability.

Conclusions

Impairment of ADL, sensory perception, mental status or social involvement increased the likelihood of risk of the co-occurrence of other deficits. Comprehensive disability among older adults receiving home-based care is associated with age, sedentariness, physical activity and TV viewing.

Electronic supplementary material

The online version of this article (10.1186/s12877-018-0852-x) contains supplementary material, which is available to authorized users.

Systematic review of prediction models for delirium in the older adult inpatient

OBJECTIVE

To identify existing prognostic delirium prediction models and evaluate their validity and statistical methodology in the older adult (≥60 years) acute hospital population.

DESIGN

Systematic review.

DATA SOURCES AND METHODS

PubMed, CINAHL, PsychINFO, SocINFO, Cochrane, Web of Science and Embase were searched from 1 January 1990 to 31 December 2016. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and CHARMS Statement guided protocol development.

INCLUSION CRITERIA

age >60 years, inpatient, developed/validated a prognostic delirium prediction model.

EXCLUSION CRITERIA

alcohol-related delirium, sample size ≤50. The primary performance measures were calibration and discrimination statistics. Two authors independently conducted search and extracted data. The synthesis of data was done by the first author. Disagreement was resolved by the mentoring author.

RESULTS

The initial search resulted in 7,502 studies. Following full-text review of 192 studies, 33 were excluded based on age criteria (<60 years) and 27 met the defined criteria. Twenty-three delirium prediction models were identified, 14 were externally validated and 3 were internally validated. The following populations were represented: 11 medical, 3 medical/surgical and 13 surgical. The assessment of delirium was often non-systematic, resulting in varied incidence. Fourteen models were externally validated with an area under the receiver operating curve range from 0.52 to 0.94. Limitations in design, data collection methods and model metric reporting statistics were identified.

CONCLUSIONS

Delirium prediction models for older adults show variable and typically inadequate predictive capabilities. Our review highlights the need for development of robust models to predict delirium in older inpatients. We provide recommendations for the development of such models.