Multisensory and biomechanical influences on postural control in children.

Children's ability to maintain balance requires effective integration of multisensory and biomechanical information. The current project examined the interaction between such sensory inputs, manipulating visual input (presence vs. absence), haptic (somatosensory) input (presence vs. absence of contact with a stable or unstable finger support surface), and biomechanical (sensorimotor) input (varying stance widths). Analyses of mean velocity of the center of pressure and the percentage stability gain highlighted the role of varying multisensory inputs in postural control. Developmentally, older children (6-11 years) showed a multisensory integration advantage compared with their younger counterparts (3-5.9 years), with the impact of varying sensory inputs more closely akin to that seen in adults. Subsequent analyses of the impact of anthropometric individual difference parameters (e.g., height, leg length, weight, areas of base of support) revealed a shifting pattern across development. For younger children, these parameters were positively related to postural stability across experimental conditions (i.e., increasing body size was related to increasing postural control). This pattern transitioned for older children, who showed a nonsignificant relation between body size and balance. Interestingly, because adults show a negative relation between anthropometric factors and stability (i.e., increasing body size is related to decreasing postural control), this shift for the older children can be seen as a developmental transition from child-like to adult-like balance control.

Converting MMSE to MoCA and MoCA 5-minute protocol in an educationally heterogeneous sample with stroke or transient ischemic attack.

BACKGROUND: The Montreal Cognitive Assessment (MoCA) is psychometrically superior over the Mini-mental State Examination (MMSE) for cognitive screening in stroke or transient ischemic attack (TIA). It is free for clinical and research use. The objective of this study is to convert scores from the MMSE to MoCA and MoCA-5-minute protocol (MoCA-5 min) and to examine the ability of the converted scores in detecting cognitive impairment after stroke or TIA. METHODS: A total of 904 patients were randomly divided into training (n = 623) and validation (n = 281) samples matched for demography and cognition. MMSE scores were converted to MoCA and MoCA-5 min using (1) equipercentile method with log-linear smoothing and (2) Poisson regression adjusting for age and education. Receiver operating characteristics curve analysis was used to examine the ability of the converted scores in differentiating patients with cognitive impairment. RESULTS: The mean education was 5.8 (SD = 4.6; ranged 0-20) years. The entire spectrum of MMSE scores was converted to MoCA and MoCA-5 min using equipercentile method. Relationship between MMSE and MoCA scores was confounded by age and education, and a conversion equation with adjustment for age and education was derived. In the validation sample, the converted scores differentiated cognitively impaired patients with area under receiver operating characteristics curve 0.826 to 0.859. CONCLUSION: We provided 2 methods to convert scores from the MMSE to MoCA and MoCA-5 min based on a large sample of patients with stroke or TIA having a wide range of education and cognitive levels. The converted scores differentiated patients with cognitive impairment after stroke or TIA with high accuracy.

Oops, we missed a spot: Comparing data substitution methods for non-random missing survey data in a longitudinal study.

Imputation methods for missing data may not always be applicable, namely, when the data were completely missing for the whole sample. To estimate the missing data, we compared three missing item substitution methods: (1) mean substitution; (2) last observation carried forward (LOCF); and (3) regression-predicted values. A total of 384 parents reported their 8- to 18-year-old children's anxiety level using the 9-item Screen for Child Anxiety Related Disorders at baseline (Time 1) and two later time points, drawing from a larger longitudinal study (Ontario COVID-19 and Kids' Mental Health Study). We predicted a survey item measured one month after baseline (Time 2) using: (1) the mean value of the rest of the test items; (2) the value of the same item measured at baseline; and (3) the predicted value from the linear regression with all other test items as predictors. Within-Subjects ANOVA results showed a main effect of substitution methods on total score at Time 2. Post-hoc analysis indicated that mean substitution was significantly different from the actual data. Regression-predicted values overestimated the median compared to the actual values, while the LOCF estimation produced comparable means and identical medians. Similar results were found while using other indicators and extending the analysis to a larger 4-month time interval (Time 3), suggesting LOCF is more accurate and reliable than mean substitution or regression-prediction. This study proposes when advanced substitution methods are not applicable, a systematic comparison of alternative methods may help researchers to arrive at a more informed decision in data processing.

Employment needs of and barriers for Chinese youth and young adults with Autism Spectrum Conditions in Ontario, Canada.

BACKGROUND: Cultural-based literature focusing on Asian autistic immigrants living in Western countries is very limited. AIMS: The present study is a quality improvement exercise aiming to fill the gap by investigating the employment needs of and barriers for Chinese autistic youth and young adults in Ontario, Canada. METHODS & PROCEDURES: 71 individuals diagnosed with autism and 24 diagnosed with other mental illnesses, aged 12-29, participated in an online survey regarding their work readiness, work skills, interests, health and cultural concerns. Analyses were conducted to compare the autistic group and the mental health group. OUTCOMES & RESULTS: Results show that the autistic sample has inferior (1) work habits related skills, (2) work style related skills, (3) level of independence, (4) skills to perform routine daily activities, (5) interpersonal skills at work, and (6) ability to tolerate visual and moving stimuli in the work environment. It is also found that the autistic group has more symptoms of depression, anxiety, and autism than that of the non-autistic group. CONCLUSIONS & IMPLICATIONS: The study shed light into the unique needs and barriers of Chinese autistic young adults and the service gap in supporting their transition to employment.

Striking a balance in sports: the interrelation between children's sports experience, body size, and posture.

This study investigated the relation between sports participation, body size, and postural control in children between 3 and 11 years of age. To explore this question, children's body sway was measured across multisensory conditions manipulating visual input (the presence versus absence of visual information) and proprioceptive input (varying stance widths), with postural sway in these conditions then related to reports of children's sports participation, and anthropometric measures. Corroborating well-known findings, postural sway was systematically influenced by multisensory factors, with the removal of visual information and narrower stance widths decreasing postural stability. Of more novelty, postural sway in the most stable stance, but without vision, was significantly predicted by measures of sports participation and body size variables, with these factors contributing independently to this prediction. Moreover, the impact on postural sway of having visual input, relative to removing visual input in unstable stances, was significantly predicted by sports participation in activities stressing changing stances and bases of support (e.g., dance, martial arts). Generally, these findings support multisensory and dynamic systems theories of perceptual-motor behavior, and also support sports specificity effects in assessments of the relation between posture and sports.

Dual-task interference as a function of varying motor and cognitive demands.

Multitasking is a critical feature of our daily lives. Using a dual-task paradigm, this experiment explored adults' abilities to simultaneously engage in everyday motor and cognitive activities, counting while walking, under conditions varying the difficulty of each of these tasks. Motor difficulty was manipulated by having participants walk forward versus backward, and cognitive difficulty was manipulated by having participants count forward versus backward, employing either a serial 2 s or serial 3 s task. All of these manipulations were performed in single-task conditions (walk only, count only) and dual-task conditions (walk and count simultaneously). Both motor performance variables (cycle time, stride length, walking velocity) and cognitive variables (counting fluency, counting accuracy) were assessed in these conditions. Analyses of single-task conditions revealed that both motor and cognitive manipulations predictably influenced performance. Analyses of dual-task performance revealed influences of motor and cognitive factors on both motor and cognitive performance. Most centrally, dual-task costs (normalized difference between single- and dual-task conditions) for motor variables revealed that such costs occurred primarily for temporal or spatiotemporal gait parameters (cycle time, walking velocity) and were driven by cognitive manipulations. Dual-task cost analyses for cognitive measures revealed negative dual-task costs, or dual-task benefits, for cognitive performance. Finally, the effects of dual-task manipulations were correlated for motor and cognitive measures, indicating dual-task performance as a significant individual difference variable. These findings are discussed with reference to theories of attentional allocation, as well as the possible role of auditory-motor entrainment in dual-task conditions.

Multisensory postural control in adults: Variation in visual, haptic, and proprioceptive inputs.

Maintaining balance is fundamentally a multisensory process, with visual, haptic, and proprioceptive information all playing an important role in postural control. The current project examined the interaction between such sensory inputs, manipulating visual (presence versus absence), haptic (presence versus absence of contact with a stable or unstable finger support surface), and proprioceptive (varying stance widths, including shoulder width stance, Chaplin [heels together, feet splayed at approximately 60°] stance, feet together stance, and tandem stance) information. Analyses of mean velocity of the Centre of Pressure (CoP) revealed significant interactions between these factors, with stability gains observed as a function of increasing sensory information (e.g., visual, haptic, visual + haptic), although the nature of these gains was modulated by the proprioceptive information and the reliability of the haptic support surface (i.e., unstable versus stable finger supports). Subsequent analyses on individual difference parameters (e.g., height, leg length, weight, and areas of base of support) revealed that these variables were significantly related to postural measures across experimental conditions. These findings are discussed relative to their implications for multisensory postural control, and with respect to inverted pendulum models of balance. (185 words).