Mind, Mood, Mobility: Supporting Independence Among Rural Older Adults at Risk for Functional Decline.
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ABSTRACT:
SUBMITTER: Kennedy MA
PROVIDER: S-EPMC7752854 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Age-related brain changes likely contribute to mobility impairments, but the specific mechanisms are poorly understood. Current brain measurement approaches (e.g., functional magnetic resonance imaging (fMRI), functional near infrared spectroscopy (fNIRS), PET) are limited by inability to measure activity from the whole brain during walking. The Mind in Motion Study will use cutting edge, mobile, high-density electroencephalography (EEG). This approach relies upon innovative hardware and software to deliver three-dimensional localization of active cortical and subcortical regions with good spatial and temporal resolution during walking. Our overarching objective is to determine age-related changes in the central neural control of walking and correlate these findings with a comprehensive set of mobility outcomes (clinic-based, complex walking, and community mobility measures). Our hypothesis is that age-related walking deficits are explained in part by the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model that describes the over-recruitment of brain regions exhibited by older adults in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited brain reserve resources available with aging. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity, leading to poor performance. Two hundred older adults and twenty young adults will undergo extensive baseline neuroimaging and walking assessments. Older adults will subsequently be followed for up to 3 years. Aim 1 will evaluate whether brain activity during actual walking explains mobility decline. Cross sectional and longitudinal designs will be used to study whether poorer walking performance and steeper trajectories of decline are associated with CRUNCH indices. Aim 2 is to harmonize high-density EEG during walking with fNIRS (during actual and imagined walking) and fMRI (during imagined walking). This will allow integration of CRUNCH-related hallmarks of brain activity across neuroimaging modalities, which is expected to lead to more widespread application of study findings. Aim 3 will study central and peripheral mechanisms (e.g., cerebral blood flow, brain regional volumes, and connectivity, sensory function) to explain differences in CRUNCH indices during walking. Research performed in the Mind in Motion Study will comprehensively characterize the aging brain during walking for developing new intervention targets.
| S-EPMC6960208 | biostudies-literature
Project description:Background and objectivesThe relationship between chronic pain (CP) and cognitive decline (CD) is bidirectional among older adults. The CP-CD comorbidity can progressively worsen cognitive, physical, emotional, and social functioning with aging. We explored the feasibility and outcomes associated with 2 mind-body activity programs for CP and CD that focus on increasing walking using time goals (Active Brains) or step-count reinforced via Fitbit (Active Brains-Fitbit).Research design and methodsOlder adults with CP and CD participated in a nonrandomized open pilot of Active Brains (n = 6) and Active Brains-Fitbit (n = 6) followed by exit interviews. Quantitative analysis explored feasibility markers and signals of improvement on physical, cognitive, and emotional function, as well as additional program targets. Qualitative analyses were predominantly deductive and applied the Framework Method to enhance the programs and methodology.ResultsBoth programs met a priori feasibility benchmarks. We found within-group improvements for pain intensity, pain-specific coping, physical function, and cognitive function in both programs. Exit interviews confirmed high satisfaction with both programs.Discussion and implicationsOur mixed-methods data provide preliminary evidence of feasibility, showed promise for improving outcomes, and yielded critical information to further enhance the programs. We discuss "lessons learned" and future directions.
| S-EPMC8679005 | biostudies-literature
Project description:Background and objectivesChronic pain (CP) and cognitive decline (CD) often co-occur in older adults, which can reinforce a "disability spiral." Early interventions teaching pain coping skills and gradual increases in activity (walking) are needed to promote overall well-being and potentially delay further decline of cognition and daily functioning. The goal of this mixed-methods study was to guide the development of two mind-body activity programs for CP and CD which focus on increasing walking using time goals (Active Brains) or step count reinforced by a Fitbit (Active Brains-Fitbit).Research design and methodsOlder adults with CP and CD (N = 23) participated in a one-time focus group (four total) and completed measures of physical, emotional, and cognitive functioning. Qualitative analyses identified population-specific needs, preferences, and perceptions of proposed program skills. Quantitative analysis compared clinical characteristics to population norms and explored intercorrelations among treatment targets.ResultsThematic analyses revealed six main themes: (1) challenges living with CP and (2) CD, (3) current walking, (4) technology (Fitbit) to increase walking, (5) perceptions of proposed program skills (e.g., mind-body, pain, and increased walking), and (6) program barriers and facilitators. Quantitative analyses showed that (a) participants had physical function below reference values and (b) higher self-efficacy correlated with higher cognitive, emotional, and physical functioning.Discussion and implicationsFocus group participants were enthusiastic about the proposed program skills. Current work includes open pilot testing, qualitative interviews, and a small randomized controlled trial to optimize the programs and methodology in preparation for efficacy testing against an educational control.
| S-EPMC8023364 | biostudies-literature
Project description:The ability to carry out instrumental activities of daily living, such as paying bills, remembering appointments and shopping alone decreases with age, yet there are remarkable individual differences in the rate of decline among older adults. Understanding variables associated with a decline in instrumental activities of daily living is critical to providing appropriate intervention to prolong independence. Prior research suggests that cognitive measures, neuroimaging and fluid-based biomarkers predict functional decline. However, a priori selection of variables can lead to the over-valuation of certain variables and exclusion of others that may be predictive. In this study, we used machine learning techniques to select a wide range of baseline variables that best predicted functional decline in two years in individuals from the Alzheimer's Disease Neuroimaging Initiative dataset. The sample included 398 individuals characterized as cognitively normal or mild cognitive impairment. Support vector machine classification algorithms were used to identify the most predictive modality from five different data modality types (demographics, structural MRI, fluorodeoxyglucose-PET, neurocognitive and genetic/fluid-based biomarkers). In addition, variable selection identified individual variables across all modalities that best predicted functional decline in a testing sample. Of the five modalities examined, neurocognitive measures demonstrated the best accuracy in predicting functional decline (accuracy = 74.2%; area under the curve = 0.77), followed by fluorodeoxyglucose-PET (accuracy = 70.8%; area under the curve = 0.66). The individual variables with the greatest discriminatory ability for predicting functional decline included partner report of language in the Everyday Cognition questionnaire, the ADAS13, and activity of the left angular gyrus using fluorodeoxyglucose-PET. These three variables collectively explained 32% of the total variance in functional decline. Taken together, the machine learning model identified novel biomarkers that may be involved in the processing, retrieval, and conceptual integration of semantic information and which predict functional decline two years after assessment. These findings may be used to explore the clinical utility of the Everyday Cognition as a non-invasive, cost and time effective tool to predict future functional decline.
| S-EPMC8286801 | biostudies-literature
Project description:ObjectiveThe aim of this study was to determine whether older adults are at higher risk of lasting functional and cognitive decline after surgery, and the impact of decline on survival and healthcare use.Summary background dataPatient-centered outcomes after surgery are poorly characterized.MethodsUsing data from the Health and Retirement Study linked with Medicare, we matched older adults (≥65 years) who underwent one of 163 high-risk elective operations (ie, inpatient mortality of ≥1%) with nonsurgical controls between 1992 and 2012. Functional decline was defined as an increase in the number of activities of daily living (ADLs) and/or instrumental activities of daily living (IADLs) requiring assistance from baseline. Cognitive decline was defined by worse response to a test of memory and mental processing from baseline. Using logistic regression, we examined whether surgery was associated with functional and cognitive decline, and whether declines were associated with poorer survival and increased healthcare use.ResultsThe matched cohort of patients who did not undergo surgery consisted of 3591 (75%) participants compared to 1197 (25%) who underwent surgery. Patients who underwent surgery were at higher risk of functional and cognitive declines [adjusted odds ratio (aOR) 1.52, 95% confidence interval (CI): 1.23-1.87 and aOR 1.32, 95% CI: 1.03-1.71]. Declines were associated with poorer long-term survival [hazard ratio (HR) 1.67, 95% CI: 1.43-1.94 and HR 1.35, 95% CI: 1.15-1.58], and were significantly associated with nearly all measures of increased healthcare utilization (P < 0.001).ConclusionOlder adults undergoing high-risk surgery are at increased risk of developing lasting functional and cognitive declines.
| S-EPMC8060894 | biostudies-literature
Project description:BackgroundClinicians are currently challenged to support older adults to maintain a certain level of Functional Independence (FI). FI is defined as "functioning physically safely and independent from another person, within one's own context". A Core Outcome Set was developed to measure FI. The purpose of this study was to assess discriminative validity of the Core Outcome Set FI (COSFI) in a population of Dutch older adults (≥ 65 years) with different levels of FI. Secondary objective was to assess to what extent the underlying domains 'coping', 'empowerment' and 'health literacy' contribute to the COSFI in addition to the domain 'physical capacity'.MethodsA population of 200 community-dwelling older adults and older adults living in residential care facilities were evaluated by the COSFI. The COSFI contains measurements on the four domains of FI: physical capacity, coping, empowerment and health literacy. In line with the COSMIN Study Design checklist for Patient-reported outcome measurement instruments, predefined hypotheses regarding prediction accuracy and differences between three subgroups of FI were tested. Testing included ordinal logistic regression analysis, with main outcome prediction accuracy of the COSFI on a proxy indicator for FI.ResultsOverall, the prediction accuracy of the COSFI was 68%. For older adults living at home and depending on help in (i)ADL, prediction accuracy was 58%. 60% of the preset hypotheses were confirmed. Only physical capacity measured with Short Physical Performance Battery was significantly associated with group membership. Adding health literacy with coping or empowerment to a model with physical capacity improved the model significantly (p < 0.01).ConclusionsThe current composition of the COSFI, did not yet meet the COSMIN criteria for discriminative validity. However, with some adjustments, the COSFI potentially becomes a valuable instrument for clinical practice. Context-related factors, like the presence of a spouse, also may be a determining factor in this population. It is recommended to include context-related factors in further research on determining FI in subgroups of older people.
| S-EPMC7450554 | biostudies-literature
Project description:Excessive brain iron negatively affects working memory and related processes but the impact of cortical iron on task-relevant, cortical brain networks is unknown. We hypothesized that high cortical iron concentration may disrupt functional circuitry within cortical networks supporting working memory performance. Fifty-five healthy older adults completed an N-Back working memory paradigm while functional magnetic resonance imaging (fMRI) was performed. Participants also underwent quantitative susceptibility mapping (QSM) imaging for assessment of non-heme brain iron concentration. Additionally, pseudo continuous arterial spin labeling scans were obtained to control for potential contributions of cerebral blood volume and structural brain images were used to control for contributions of brain volume. Task performance was positively correlated with strength of task-based functional connectivity (tFC) between brain regions of the frontoparietal working memory network. However, higher cortical iron concentration was associated with lower tFC within this frontoparietal network and with poorer working memory performance after controlling for both cerebral blood flow and brain volume. Our results suggest that high cortical iron concentration disrupts communication within frontoparietal networks supporting working memory and is associated with reduced working memory performance in older adults.
| S-EPMC7821351 | biostudies-literature
Project description:Objectiveto examine whether psychomotor speed predicts individual and combined disorders in cognition, mobility and mood and if white matter hyperintensities explain these associations.Design and settinglongitudinal; Cardiovascular Health Study.Subjects5,888 participants (57.6% women, 15.7% black, 75.1 (5.5), mean years (SD)).Methodspsychomotor speed (Digit Symbol Substitution Test (DSST)) and small vessel disease (white matter hyperintensities (WMH)) were measured in 1992-94. Global cognition (Modified Mini-Mental State (3MS) examination), mobility (gait speed (GS)) and mood (Center for Epidemiologic Studies Depression (CES-D) scale) were measured annually over 5 years and classified as clinical, subclinical or no disorders based on established values (3MS: 80 and 85 points; GS: 0.6 and 1.0 m/s; CES-D: 10 and 5 points). Analyses were adjusted for demographics, baseline status, education, diabetes, hypertension, ankle-arm index.Resultsamong those with no disorder in cognition, mobility and mood (N = 619) in 1992-94, being in the lowest DSST quartile compared to the highest was associated with nearly twice the odds of developing 1+ clinical or subclinical disorders (N = 413) during follow-up. Associations were stronger for incident clinical disorders in cognition (OR: 8.44, p < 0.01) or mobility (OR: 9.09, p < 0.05) than for mood (OR: 1.88, p < 0.10). Results were similar after adjustment for WMH.Conclusionsslower psychomotor speed may serve as a biomarker of risk of clinical disorders of cognition, mobility and mood. While in part attributable to vascular brain disease, other potentially modifiable contributors may be present. Further studying the causes of psychomotor slowing with ageing might provide novel insights into age-related brain disorders.
| S-EPMC5027641 | biostudies-literature
Project description:Subtle changes in everyday tasks precede and predict future disability in older adults. Eye tracking may provide a sensitive tool for detecting subtle disruption of everyday task performance and informing the mechanism(s) of breakdown. We tracked eye movements of healthy older adults (OA, n = 24) and younger adults (YA, n = 25) while they passively viewed a naturalistic scene (Passive Viewing condition) and then verbally reported the necessary steps for achieving a task goal (e.g., pack a lunch; Verbalize Goal condition). Participants also completed a performance-based task of packing a lunch using real objects as well as neuropsychological tests. Group (young vs. old) by Condition (Passive Viewing vs. Verbalize Goal) ANOVAs were conducted to analyze eye tracking variables (i.e., fixation rate, number/duration of fixations to target/distractor objects and off objects). Both the younger and older adults made significantly fewer fixations to distractors during Verbalize Goal than Passive Viewing. Also, significant Group × Condition interactions were observed, indicating that younger adults, but not older adults, spent significantly more time viewing targets and less time off-objects in the goal driven, Verbalize Goal condition than the Passive Viewing condition. Goal-directed eye movements correlated with everyday action errors and tests of executive functioning. Taken together, results support theories of age-related decline in top-down cognitive control and indicate the potential utility of this eye tracking paradigm in detecting subtle age-related functional changes. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
| S-EPMC6296824 | biostudies-literature
Project description:BackgroundThe brain's structural integrity is associated with mobility function in older adults. Changes in function may be evident earlier than changes in structure and may be more directly related to mobility. Therefore, we assessed whether functional brain networks varied with mobility function in older adults.MethodsShort Physical Performance Battery (SPPB) and resting state functional magnetic resonance imaging were collected on 24 young (mean age = 26.4±5.1) and 48 older (mean age = 72.04±5.1) participants. Older participants were divided into three groups by SPPB score: Low SPPB (score = 7-9), Mid SPPB (score = 10), High SPPB (score = 11-12).Graph theory-based methods were used to characterize and compare brain network organization.ResultsConnectivity in the somatomotor cortex distinguished between groups based on SPPB score. The community structure of the somatomotor cortex was significantly less consistent in the Low SPPB group (mean = 0.097±0.05) compared with Young (mean = 0.163±0.09, p = .03) SPPB group. Striking differences were evident in second-order connections between somatomotor cortex and superior temporal gyrus and insula that reached statistical significance. The Low SPPB group (mean = 140.87±109.30) had a significantly higher number of connections than Young (mean = 45.05±33.79, p = .0003) or High (mean = 49.61±35.31, p = .002) SPPB group.ConclusionsOlder adults with poorer mobility function exhibited reduced consistency of somatomotor community structure and a greater number of secondary connections with vestibular and multisensory regions of the brain. Further study is needed to fully interpret these effects, but analysis of functional brain networks adds new insights to the contribution of the brain to mobility.
| S-EPMC4204616 | biostudies-literature