Mental practice and motor learning

This thesis is an investigation into the phenomena of mental practice, that is the thinking through of a movement, or movement sequences prior to actual performance. Using a gross motor skill it was demonstrated that it is the sequential, or cognitive component of the task that is most affected by mental practice, rather than the execution of the movements themselves. As a result of enhanced sequence learning overall performance does improve. Further experiments revealed that individuals can produce . novel movement sequences without prior physical practice of the task. Subjects demonstrated the ability to produce such sequences as long as they have information about the order and types of movements to be performed. Finally, an attempt was made to characterise the individual differences that might be associated with the capacity to use mental practice effectively. The literature on mental practice reveals that imagery may be a factor within this context. A test of imagery was designed, and its validity and reliability established. This test was used to screen subjects prior to participation in a mental practice study. Unfortunately, no significant relationship was found between imagery, as measured by the test, and improved performance on the task. There was however, a correlation between test scores and the rate of initial learning. The experimental results are discussed in terms of two proposals. The first is the relationship between mental practice and symbolic learning theory. The second is the possible role of such practice in the preparation of motor programs prior to performance

Statistical considerations in a systematic review of proxy measures of clinical behaviour

Peer reviewedPublisher PD

Parental Socialization and Children’s Susceptibility to Alcohol Use Initiation

ABSTRACT. Objective: This study examined relations between children’s susceptibility to alcohol use initiation and parents’ alcohol-specific beliefs, attitudes, and practices and whether these relations vary by parental alcohol use. Method: The sample comprised 1,050 pairs of mothers or mother surrogates and their third-grade children (51.8% female) recruited for a 4-year intervention trial. Families were recruited from school districts located primarily in North Carolina; the school districts provided permission for study recruitment materials to be distributed to families but were not otherwise involved in the research. Data are from the baseline cross-sectional telephone interviews conducted with the mothers and children. Children’s susceptibility to alcohol use initiation is based on child reports, and parental alcohol-specifi c beliefs, attitudes, and practices are based on maternal reports. Results: All parental alcohol socialization attributes were statistically signifi cantly associated as hypothesized with child susceptibility to alcohol use initiation. In the final full model, the mother’s disapproving attitude about child sipping and the interaction between mother–child communication and parental alcohol use frequency were uniquely signifi cantly associated with child susceptibility. Talking with the child about harmful consequences of alcohol use was associated with reduced child susceptibility in families where parents drank alcohol more frequently but had no relationship with child susceptibility in families where parents drank infrequently. Conclusions: The normative interactions that parents have with their elementary school children may inhibit or facilitate children’s susceptibility to alcohol use. To the extent that child susceptibility leads to early onset of use, prevention programs directed at parents to reduce child susceptibility are indicated

Beliefs about Staying Home: Findings from a Nationally Representative Probability Sample of U.S. Adults in the Early Days of the COVID-19 Epidemic

Understanding the beliefs about staying home is essential to inform stay-at-home policies to mitigate COVID-19 and future epidemics. This study (1) identified the salient advantages, disadvantages, and facilitating beliefs about staying home, and (2) examined the relationship between these beliefs and intention. U.S. adults from a nationally representative probability-based household panel completed an online reasoned action approach belief elicitation from April 10-20, 2020, about one month after stay-at-home guidelines were implemented. First, we conducted an inductive content analysis to reveal salient beliefs about staying home. We identified eight advantages, 12 disadvantages, and 12 facilitators that broadly spanned across health domains: individual, population, interpersonal, occupational, financial, and leisure health. Then, we conducted three regression analyses, one for each of the three sets of beliefs, predicting intention to stay home for the next month from worker status and belief mentioned. In these regression analyses, four advantages, four disadvantages, and four facilitators made independent contributions to explaining intention. The breadth of the elicited beliefs suggests that COVID-19 is perceived to have impacted many dimensions of our lives, and that interventions need to be just as broad. Communication and educational interventions could help people understand the benefits of staying home to themselves, to their families, and to the wider community. Programs that keep essential supplies available could help people stay home. Structural interventions with financial safety nets and policies that help people stay employed during an epidemic might address people’s concerns about the impact of staying home on their financial and occupational health

NICMOS Imaging of the Host Galaxies of z ~ 2 - 3 Radio-Quiet Quasars

We have made a deep NICMOS imaging study of a sample of 5 z ~ 2 - 3 radio-quiet quasars with low absolute nuclear luminosities, and we have detected apparent host galaxies in all of these. Most of the hosts have luminosities approximately equal to present-day L*, with a range from 0.2 L* to about 4 L*. These host galaxies have magnitudes and sizes consistent with those of the Lyman break galaxies at similar redshifts and at similar rest wavelengths, but are about two magnitudes fainter than high-z powerful radio galaxies. The hosts of our high-z sample are comparable to or less luminous than the hosts of the low-z RQQs with similar nuclear absolute magnitudes. However, the high z galaxies are more compact than the hosts of the low z quasars, and probably have only 10 - 20% of the stellar mass of their low-z counterparts. Application of the M(bulge)/M(BH) relation found for present-day spheroids to the stellar masses implied for the high z host galaxies would indicate that they contain black holes with masses around 10^8 Msolar. Comparison to their nuclear magnitudes implies accretion rates that are near or at the Eddington limit. Although these high z hosts already contain supermassive black holes, the galaxies will need to grow significantly to evolve into present-day L* galaxies. These results are basically consistent with theoretical predictions for the hierarchical buildup of the galaxy host and its relation to the central supermassive black hole.Comment: 25 pages, 13 figures, accepted for publication in Ap

The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns

The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems. Wildland fire, smoke dispersion, and atmospheric chemistry models have become more sophisticated, and next-generation operational models will require evaluation datasets that are coordinated and comprehensive for their evaluation and advancement. Integrated measurements are required, including ground-based observations of fuels and fire behavior, estimates of fire-emitted heat and emissions fluxes, and observations of near-source micrometeorology, plume properties, smoke dispersion, and atmospheric chemistry. To address these requirements the FASMEE campaign design includes a study plan to guide the suite of required measurements in forested sites representative of many prescribed burning programs in the southeastern United States and increasingly common high-intensity fires in the western United States. Here we provide an overview of the proposed experiment and recommendations for key measurements. The FASMEE study provides a template for additional large-scale experimental campaigns to advance fire science and operational fire and smoke models

Apples and pears? A comparison of two sources of national lung cancer audit data in England

In 2014, the method of data collection from NHS trusts in England for the National Lung Cancer Audit (NLCA) was changed from a bespoke dataset called LUCADA (Lung Cancer Data). Under the new contract, data are submitted via the Cancer Outcome and Service Dataset (COSD) system and linked additional cancer registry datasets. In 2014, trusts were given opportunity to submit LUCADA data as well as registry data. 132 NHS trusts submitted LUCADA data, and all 151 trusts submitted COSD data. This transitional year therefore provided the opportunity to compare both datasets for data completeness and reliability. We linked the two datasets at the patient level to assess the completeness of key patient and treatment variables. We also assessed the interdata agreement of these variables using Cohen’s kappa statistic, κ. We identified 26 001 patients in both datasets. Overall, the recording of sex, age, performance status and stage had more than 90% agreement between datasets, but there were more patients with missing performance status in the registry dataset. Although levels of agreement for surgery, chemotherapy and external-beam radiotherapy were high between datasets, the new COSD system identified more instances of active treatment. There seems to be a high agreement of data between the datasets, and the findings suggest that the registry dataset coupled with COSD provides a richer dataset than LUCADA. However, it lagged behind LUCADA in performance status recording, which needs to improve over time

Rural and Urban Differences in the Adoption of New Health Information and Medical Technologies

Background This statewide survey sought to understand the adoption level of new health information and medical technologies, and whether these patterns differed between urban and rural populations. Methods A random sample of 7,979 people aged 18‐75 years, stratified by rural status and race, who lived in 1 of 34 Indiana counties with high cancer mortality rates and were seen at least once in the past year in a statewide health system were surveyed. Results Completed surveys were returned by 970 participants. Rural patients were less likely than urban to use electronic health record messaging systems (28.3% vs 34.5%, P = .045) or any communication technology (43.0% vs 50.8%, P = .017). Rural patients were less likely to look for personal health information for someone else's medical record (11.0% vs 16.3%, P = .022), look‐up test results (29.5% vs 38.3%, P = .005), or use any form of electronic medical record (EMR) access (57.5% vs 67.1%, P = .003). Rural differences in any use of communication technology or EMRs were no longer significant in adjusted models, while education and income were significantly associated. There was a trend in the higher use of low‐dose computed tomography (CT) scan among rural patients (19.1% vs 14.4%, P = .057). No significant difference was present between rural and urban patients in the use of the human papilloma virus test (27.1% vs 26.6%, P = .880). Conclusions Differences in health information technology use between rural and urban populations may be moderated by social determinants. Lower adoption of new health information technologies (HITs) than medical technologies among rural, compared to urban, individuals may be due to lower levels of evidence supporting HITs