Project description:BackgroundThere are a few ecologically valid measurements of Daily Living Skills (DLS)-a critical component of adaptive functioning (AF)-for autistic adolescents and young adults. This is particularly important given that DLS predict outcomes as autistic adolescents transition to adulthood.MethodsWe pilot-tested the assessment section of two modules of the Computerized Functional Skills Assessment and Training program (CFSAT) in 25 autistic (n = 4 female) and 25 non-autistic (n = 6 female) adolescents and young adults to evaluate preliminary feasibility in an autistic sample. Tasks involved using an ATM and ticket-buying machine. We also assessed AF and DLS with a well-validated self-report questionnaire. We examined group differences in performance and relationships between performance on CFSAT and an existing measure of AF and DLS. We also conducted regression analyses to investigate the associations between age, IQ, executive functioning (EF), and CFSAT task performance.ResultsAll but one autistic participant were able to complete the CFSAT tasks. Autistic participants made more errors, but did not take longer to complete the task, than non-autistic participants. Performance correlated strongly with self-reported AF generally and DLS specifically. The regression analyses revealed that task performance was associated with EF in the autistic group, but not the non-autistic group.ConclusionsThese results provide preliminary support for the use of a new performance-based ecologically valid assessment of DLS in an autistic population. Two CFSAT modules were well-tolerated and detected differences in DLS ability. Strong correlations with an existing measure of AF suggest evidence of construct validity. The EF was associated with CFSAT task performance in autistic individuals. Such a tool could help identify individuals who would benefit from a DLS intervention.
Project description:Autistic and non-autistic adults completed a visual perspective taking (VPT) task, reporting an object's location from an actor's perspective, or their own. On half the trials the actor looked at and reached for the object, and on half did not. Accuracy and reaction time were measured. In Experiment 1, both groups (N = 34, mean age = 24 years) responded slower when reporting the actor's perspective, with no group differences in this effect. Experiment 2 included "other" VPT trials only. Both groups (N = 30, mean age = 25 years) showed sensitivity to the actor's behaviour, more accurately reporting his perspective when he acted upon the object. No group differences were observed. In contrast to developmental studies, these experiments suggest similar VPT abilities in autistic and non-autistic adults.
Project description:IntroductionAim is to evaluate validity, reliability, diagnostic precision, and user acceptability of computer simulations of cognitively demanding tasks when administered to older adults with and without cognitive impairment.MethodsFive simulation modules were administered to 161 individuals aged ≥60 years with no cognitive impairment (N = 81), mild cognitive impairment (N = 52), or dementia (N = 28). Groups were compared on total accuracy and time to complete the tasks (seconds). Receiver operating characteristics were evaluated. Reliability was assessed over one month. Participants rated face validity and acceptability.ResultsTotal accuracy (P < .0001) and time (P = .0015) differed between groups. Test-retest correlations were excellent (0.79 and 0.88, respectively). Area under the curve ranged from good (0.77) to excellent (0.97). User ratings supported their face validity and acceptability.DiscussionBrief computer simulations can be useful in assessing cognitive functional abilities of older adults and distinguishing varying degrees of impairment.
Project description:In a prospective cohort of nondisabled adults aged 65 years or more in the Established Populations for Epidemiologic Studies of the Elderly (1981-1987 and 1985-1992), we used a competing risk approach to predict the 5-year risk of severe, persistent activities-of-daily-living (ADLs) disability, defined as dependence in ≥3 ADLs for 2 consecutive annual interviews or for 1 interview followed by death in the subsequent year. During 5 years, 6.8% developed severe, persistent ADL dependence, and 14.6% died without severe, persistent ADL dependence in the derivation cohort (n = 8,301); the corresponding percentages were 6.8% and 15.8% in the validation cohort (n = 4,177). A model based on age, current employment, visual impairment, self-rated health, diabetes mellitus, history of stroke or brain hemorrhage, cognitive function, and self-reported physical function showed good calibration. Discrimination, assessed by C statistics, for <70, 70-74, 75-79, and ≥80 years, was 0.75, 0.74, 0.65, and 0.66 in the derivation cohort and 0.70, 0.72, 0.70, and 0.65 in the validation cohort, respectively. In conclusion, a simple risk score based on routinely available clinical information can predict severe, persistent disability in 5 years. Future studies should examine whether physical performance measures can further improve prediction in the oldest old.
Project description:BACKGROUND:There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body placements. PA assessment studies have relied on machine learning methods which take accelerometer data in forms of variables, or feature vectors. METHODS:In this work, we introduce automated shape feature derivation methods to transform epochs of accelerometer data into feature vectors. As the first step, recurring patterns in the collected data are identified and placed in a codebook. Similarities between epochs of accelerometer data and codebook's patterns are the basis of feature calculations. In this paper, we demonstrate supervised and unsupervised approaches to learn codebooks. We evaluated these methods and compared them with the standard statistical measures for PA assessment. The experiments were performed on 146 participants who wore an ActiGraph GT3X+ accelerometer on the right wrist and performed 33 activities of daily living. RESULTS:Our evaluations show that the shape feature derivation methods were able to perform comparably with the standard wrist model (F1-score: 0.89) for identifying sedentary PAs (F1-scores of 0.86 and 0.85 for supervised and unsupervised methods, respectively). This was also observed for identifying locomotion activities (F1-scores: 0.87, 0.83, and 0.81 for the standard wrist, supervised, unsupervised models, respectively). All the wrist models were able to estimate energy expenditure required for PAs with low error (rMSE: 0.90, 0.93, and 0.90 for the standard wrist, supervised, and unsupervised models, respectively). CONCLUSION:The automated shape feature derivation methods offer insights into the performed activities by providing a summary of repeating patterns in the accelerometer data. Furthermore, they could be used as efficient alternatives (or additions) for manually engineered features, especially important for cases where the latter fail to provide sufficient information to machine learning methods for PA assessment.
Project description:This systematic review examines the effectiveness of occupation- and activity-based interventions on community-dwelling older adults' performance of instrumental activities of daily living (IADLs). It was conducted as part of the American Occupational Therapy Association's Evidence-Based Practice Project. Forty studies met the inclusion criteria and were critically appraised and synthesized. Within occupation-based and client-centered interventions, the evidence that multicomponent interventions improve and maintain IADL performance in community-dwelling older adults is strong. The results also indicate that client-centered, occupation-based interventions can be effective in improving and maintaining IADL performance. The evidence is moderate for functional task exercise programs and limited for simulated IADL interventions to improve IADL performance. In the area of performance skills, the evidence related to physical activity and cognitive skills training is mixed, and the evidence that vision rehabilitation interventions improve IADL performance in older adults with low vision is moderate. Implications for practice, education, and research are also discussed.
Project description:Shift work increases the risk for human errors, such that drowsiness due to shift work has contributed to major industrial disasters, including Space Shuttle Challenger, Chernobyl and Alaska Oil Spill disasters, with extraordinary socio-economical costs. Overnight operations pose a challenge because our circadian biology inhibits cognitive performance at night. Yet how the circadian system modulates cognition over multiple days under realistic shift work conditions remains to be established. Importantly, because task-specific cognitive brain regions show different 24-h circadian dynamics, we hypothesize that circadian misalignment impacts cognition task-dependently. Using a biologically-driven paradigm mimicking night shift work, with a randomized, cross-over design, we show that misalignment between the circadian pacemaker and behavioral/environmental cycles increases cognitive vulnerability on sustained attention, cognitive throughput, information processing and visual-motor performance over multiple days, compared to circadian alignment (day shifts). Circadian misalignment effects are task-dependent: while they acutely impair sustained attention with recovery after 3-days, they progressively hinder daily learning. Individuals felt sleepier during circadian misalignment, but they did not rate their performance as worse. Furthermore, circadian misalignment effects on sustained attention depended on prior sleep history. Collectively, daily circadian misalignment may provide an important biological framework for developing countermeasures against adverse cognitive effects in shift workers.
Project description:Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical adults. The autistic group had slower overall reaction times, but demonstrated sequence-specific learning equivalent to the neurotypical group, consistent with other findings of typical procedural memory in autism. The neurotypical group, however, made significantly more prediction-related errors early in the experiment when the stimuli changed from repeated sequences to random locations, suggesting certain limited behavioural differences in the learning or utilization of predictive relationships for autistic adults.
Project description:BackgroundMultiple risk factors accumulate over the life-course and contribute to higher rates of disability at older ages. This study investigates whether three life-course risk factors (low educational attainment, poor health in childhood and multimorbidity) are associated with increased risk of disability [defined as any limitation in basic activities of daily living (BADL)] in older adults and whether this relationship is moderated by the national socioeconomic context, measured by the Human Development Index (HDI).MethodsData include 100 062 adults (aged 50 and over) participating in longitudinal studies of aging conducted in 19 countries. Analyses include multivariable Poisson models with robust standard errors to assess the associations between HDI, life-course risk factors and other individual-level control variables (sex and age) with any BADL disability.ResultsIn country-specific analyses, both educational attainment and multimorbidity are independently associated with disability in nearly every country. The interaction between these risk factors further increases the magnitude of this association. In pooled regression analyses, the relationship between life-course risk factors and disability is moderated by a country's HDI. For individuals with all three life-course risk factors, the predicted probability of disability ranged from 36.7% in the lowest HDI country to 21.8% in the highest HDI country.ConclusionsSocial and health system policies directed toward reducing the development of life-course risk factors are essential to reduce disability in all countries, but are even more urgently needed in those with lower levels of socioeconomic development.
Project description:Few studies have examined self-reported perceived stress in autistic adults. Existing studies have included relatively small, predominantly male samples and have not included older autistic adults. Using a large autistic sample (N = 713), enriched for individuals designated female at birth (59.3%), and spanning younger, middle, and older adulthood, we examined perceived stress and its associations with independence in activities of daily living and subjective quality of life (QoL). Perceived stress for autistic adults designated male or female at birth was compared to their same birth-sex counterparts in a general population sample. In addition, within the autistic sample, effects of sex designated at birth, age, and their interaction were examined. Regression modeling examined associations between perceived stress and independence in activities of daily living and domains of subjective QoL in autistic adults, after controlling for age, sex designated at birth, and household income. Autistic adults reported significantly greater perceived stress than a general population comparison sample. Relative to autistic adults designated male at birth, those designated female at birth demonstrated significantly elevated perceived stress. Perceived stress contributed significantly to all regression models, with greater perceived stress associated with less independence in activities of daily living, and poorer subjective QoL across all domains-Physical, Psychological, Social, Environment, and Autism-related QoL. Findings are contextualized within the literature documenting that autistic individuals experience elevated underemployment and unemployment, heightened rates of adverse life events, and increased exposure to minority stress. LAY SUMMARY: This study looked at self-reported perceived stress in a large sample of autistic adults. Autistic adults reported more perceived stress than non-autistic adults. Autistic individuals designated female at birth reported higher stress than autistic individuals designated male at birth. In autistic adults, greater perceived stress is related to less independence in activities of daily living and poorer subjective quality of life.