256 research outputs found

    Musiikkiliikunta autismin kirjon lapsen oppimisen tukena musiikin tunneilla

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    Tiivistelmä. Musiikkiliikunta on monipuolinen opetustapa, joka mahdollistaa musiikin oppimista erilaisista oppimiseen vaikuttavista tekijöistä riippumatta. Tämä kandidaatintutkielma tarkastelee musiikkiliikuntaa osana musiikinopetusta. Tutkin, miten autismin kirjo vaikuttaa musiikin opiskeluun ja miten musiikkiliikunta tukee autismin kirjon lapsen oppimista musiikin tunneilla. Tutkielmani tavoitteena oli syventyä autismin kirjon ilmenemiseen, ja tuoda esille Dalcroze-pedagogiikkaan pohjautuvan musiikkiliikunnan ja kehollisuuden hyötyjä autismin kirjon lapsilla. Tietous ja ymmärrys erilaisista oppimiseen vaikuttavista tekijöistä ja erilaisten oppijoiden kohtaamisesta ja opettamisesta on tullut entistä keskeisemmäksi viime vuosina. Oppilaan tukeminen ja muusikkouden kehittäminen ovat musiikkikasvattajan tärkeimpiä tehtäviä. Tämän vuoksi on tärkeää havaita erilaiset oppijat ja löytää keinot erilaisten oppijoiden opettamiseen. Tutkielma on toteutettu kuvailevana kirjallisuuskatsauksena, jossa kootaan aikaisempaa aineistoa yhdeksi kokonaisuudeksi. Tutkielman tuloksissa selvisi autismin kirjon yksilöllinen ja moninainen ilmeneminen musiikin tunneilla sekä Dalcroze-pedagogiikkaan pohjautuvan musiikkiliikunnan monipuoliset hyödyt. Tulokset osoittivat, että autismin kirjon lapsen puutteelliset motoriset ja kognitiiviset taidot voivat aiheuttaa haasteita musiikillisessa ilmaisussa ja perinteisten soittimien soittamisessa. Poikkeavuudet sosiaalisessa vuorovaikutuksessa ja kommunikoinnissa voivat ilmetä esimerkiksi nonverbaalisessa viestinnässä. Musiikkiliikunta tukee autismin kirjon oppilasta kokonaisvaltaisesti muillakin kuin musiikin osa-alueilla. Musiikkiliikunta mahdollistaa musiikin oppimisen musiikillisten taitojen tasosta riippumatta liikkeen, kokemuksen ja vuorovaikutuksen kautta kokonaisvaltaisesti

    Levodopa-Induced Changes in Electromyographic Patterns in Patients with Advanced Parkinson's Disease

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    Levodopa medication is the most efficient treatment for motor symptoms of Parkinson's disease (PD). Levodopa significantly alleviates rigidity, rest tremor, and bradykinesia in PD. The severity of motor symptoms can be graded with UPDRS-III scale. Levodopa challenge test is routinely used to assess patients' eligibility to deep-brain stimulation (DBS) in PD. Feasible and objective measurements to assess motor symptoms of PD during levodopa challenge test would be helpful in unifying the treatment. Twelve patients with advanced PD who were candidates for DBS treatment were recruited to the study. Measurements were done in four phases before and after levodopa challenge test. Rest tremor and rigidity were evaluated using UPDRS-III score. Electromyographic (EMG) signals from biceps brachii and kinematic signals from forearm were recorded with wireless measurement setup. The patients performed two different tasks: arm isometric tension and arm passive flexion-extension. The electromyographic and the kinematic signals were analyzed with parametric, principal component, and spectrum-based approaches. The principal component approach for isometric tension EMG signals showed significant decline in characteristics related to PD during levodopa challenge test. The spectral approach on passive flexion-extension EMG signals showed a significant decrease on involuntary muscle activity during the levodopa challenge test. Both effects were stronger during the levodopa challenge test compared to that of patients' personal medication. There were no significant changes in the parametric approach for EMG and kinematic signals during the measurement. The results show that a wireless and wearable measurement and analysis can be used to study the effect of levodopa medication in advanced Parkinson's disease.Peer reviewe

    Changes in elbow flexion EMG morphology during adjustment of deep brain stimulator in advanced Parkinson's disease

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    Publisher Copyright: © 2022 Ruonala et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Objective Deep brain stimulation (DBS) is an effective treatment for motor symptoms of advanced Parkinson's disease (PD). Currently, DBS programming outcome is based on a clinical assessment. In an optimal situation, an objectively measurable feature would assist the operator to select the appropriate settings for DBS. Surface electromyographic (EMG) measurements have been used to characterise the motor symptoms of PD with good results; with proper methodology, these measurements could be used as an aid to program DBS. Methods Muscle activation measurements were performed for 13 patients who had advanced PD and were treated with DBS. The DBS pulse voltage, frequency, and width were changed during the measurements. The measured EMG signals were analysed with parameters that characterise the EMG signal morphology, and the results were compared to the clinical outcome of the adjustment. Results The EMG signal correlation dimension, recurrence rate, and kurtosis changed significantly when the DBS settings were changed. DBS adjustment affected the signal recurrence rate the most. Relative to the optimal settings, increased recurrence rates (median ± IQR) 1.1 ± 0.5 (-0.3 V), 1.3 ± 1.1 (+0.3 V), 1.7 ± 0.4 (-30 Hz), 1.7 ± 0.8 (+30 Hz), 2.0 ± 1.7 (+30 μs), and 1.5 ± 1.1 (DBS off) were observed. With optimal stimulation settings, the patients' Unified Parkinson's Disease Rating Scale motor part (UPDRS-III) score decreased by 35% on average compared to turning the device off. However, the changes in UPRDS-III arm tremor and rigidity scores did not differ significantly in any settings compared to the optimal stimulation settings. Conclusion Adjustment of DBS treatment alters the muscle activation patterns in PD patients. The changes in the muscle activation patterns can be observed with EMG, and the parameters calculated from the signals differ between optimal and non-optimal settings of DBS. This provides a possibility for using the EMG-based measurement to aid the clinicians to adjust the DBS.Peer reviewe

    School-level changes in factors related to oral health inequalities after national recommendation on sweet selling

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    Aims: In 2007, Finnish authorities gave a national recommendation that schools should not sell sweet products. This study aimed to determine the effects of the national recommendation on school-level intermediary determinants (factors related to oral health inequalities) and if the changes were different according to school-level socio-economic position (SEP). Methods: This ecological and longitudinal study combined school-level data from two independent studies from Finnish upper comprehensive schools (N = 970): the School Health Promotion study (SHPS) and the School Sweet Selling survey (SSSS). The baseline data (SHPS from 2006–2007 and SSSS from 2007) and the post-intervention data (SHPS and SSSS from 2008–2009) were combined into a longitudinal school-level data set (n = 360 and response rate = 37%). The intermediary determinants were: attitudes and access to intoxicants, school health services, school environment, home environment, schools’ health-promoting actions (including sweet product selling) and pupils’ eating habits. Three equal-sized school-level SEP group — slow, middle and high — were formed. The changes in the intermediary determinants were analysed using Wilcoxon Signed Ranks test. Differences between school SEP groups were analysed the using Kruskal–Wallis test. Longitudinal linear mixed modelling was used to determine the contribution of intermediary determinants to the changes in pupils’ eating habits. Results: The national recommendation was effective in decreasing sweet product selling at schools and the effect was equal in each school-level SEP group. Intermediary determinants contributed differently to eating habits in the three SEP groups. Conclusions: A national recommendation seems to be an effective tool in making the school environment healthier without increasing inequalities.</p

    Social gradient in intermediary determinants of oral health at school level in Finland

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    Objective: An adapted framework for oral health inequalities suggests that structural determinants cause oral health inequalities through socio-economic position (SEP) and intermediary determinants. We applied this framework to examine whether there is a social gradient in the intermediary determinants at the school level, even when adjusted for school size, geographical location and teaching language. Basic research design: Cross-sectional survey. Methods: This study combined data from two independent studies focusing on Finnish upper comprehensive schools (N=970): the School Health Promotion study (SHPS) and the School Sweet Selling survey (SSSS). All schools that took part in the SSSS and whose pupils answered the SHPS were included in the analysis (n=360, response rate=37%). From the questions of the SHPS and the SSSS suitable for the theoretical framework, attitudes and access to intoxicants, school health services, school environment, home environment, the school's oral health-related actions and the pupil's own behaviour were selected as the intermediary determinants and as the factors determining the school-level SEP. The social gradient in the intermediary determinants of oral health was investigated with Pearson's and Spearman's correlation coefficients between those and the school-level SEP. In the multivariable analysis, the General Linear Model with manual backward elimination was used. Results: A social gradient was observed in the intermediary determinants 'home environment' and 'the pupils' tooth brushing frequency' and an inverse social gradient in 'attitudes and access to intoxicants' and 'school health services'. Conclusions: Social gradient between schools could increase Finnish adolescents' oral health inequalities.</div

    Does the company's economic performance affect access to occupational health services?

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    <p>Abstract</p> <p>Background</p> <p>In Finland like in many other countries, employers are legally obliged to organize occupational health services (OHS) for their employees. Because employers bear the costs of OHS it could be that in spite of the legal requirement OHS expenditure is more determined by economic performance of the company than by law. Therefore, we explored whether economic performance was associated with the companies' expenditure on occupational health services.</p> <p>Methods</p> <p>We used a prospective design to predict expenditure on OHS in 2001 by a company's economic performance in 1999. Data were provided by Statistics Finland and expressed by key indicators for profitability, solidity and liquidity and by the Social Insurance Institution as employers' reimbursement applications for OHS costs. The data could be linked at the company level. Regression analysis was used to study associations adjusted for various confounders.</p> <p>Results</p> <p>Nineteen percent of the companies (N = 6 155) did not apply for reimbursement of OHS costs in 2001. The profitability of the company represented by operating margin in 1999 and adjusted for type of industry was not significantly related to the company's probability to apply for reimbursement of the costs in 2001 (OR = 1.00, 95%CI: 0.99 to 1.01). Profitability measured as operating profit in 1999 and adjusted for type of industry was not significantly related to costs for curative medical services (Beta -0.001, 95%CI: -0.00 to 0.11) nor to OHS cost of prevention in 2001 (Beta -0.001, 95%CI: -0.00 to 0.00).</p> <p>Conclusion</p> <p>We did not find a relation between the company's economic performance and expenditure on OHS in Finland. We suppose that this is due to legislation obliging employers to provide OHS and the reimbursement system both being strong incentives for employers.</p

    Blood and skeletal muscle ageing determined by epigenetic clocks and their associations with physical activity and functioning

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    The aim of this study was to investigate the correspondence of different biological ageing estimates (i.e. epigenetic age) in blood and muscle tissue and their associations with physical activity (PA), physical function and body composition. Two independent cohorts (N = 139 and N = 47) were included, whose age span covered adulthood (23–69 years). Whole blood and m. vastus lateralis samples were collected, and DNA methylation was analysed. Four different DNA methylation age (DNAmAge) estimates were calculated using genome-wide methylation data and publicly available online tools. A novel muscle-specific methylation age was estimated using the R-package ‘MEAT’. PA was measured with questionnaires and accelerometers. Several tests were conducted to estimate cardiorespiratory fitness and muscle strength. Body composition was estimated by dual-energy X-ray absorptiometry. DNAmAge estimates from blood and muscle were highly correlated with chronological age, but different age acceleration estimates were weakly associated with each other. The monozygotic twin within-pair similarity of ageing pace was higher in blood (r = 0.617–0.824) than in muscle (r = 0.523–0.585). Associations of age acceleration estimates with PA, physical function and body composition were weak in both tissues and mostly explained by smoking and sex. The muscle-specific epigenetic clock MEAT was developed to predict chronological age, which may explain why it did not associate with functional phenotypes. The Horvath’s clock and GrimAge were weakly associated with PA and related phenotypes, suggesting that higher PA would be linked to accelerated biological ageing in muscle. This may, however, be more reflective of the low capacity of epigenetic clock algorithms to measure functional muscle ageing than of actual age acceleration. Based on our results, the investigated epigenetic clocks have rather low value in estimating muscle ageing with respect to the physiological adaptations that typically occur due to ageing or PA. Thus, further development of methods is needed to gain insight into muscle tissue-specific ageing and the underlying biological pathways.Peer reviewe

    Quantitative bioimage analytics enables measurement of targeted cellular stress response induced by celastrol-loaded nanoparticles

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    The cellular stress response, which provides protection against proteotoxic stresses, is characterized by the activation of heat shock factor 1 and the formation of nuclear stress bodies (nSBs). In this study, we developed a computerized method to quantify the formation and size distribution of nSBs, as stress response induction is of interest in cancer research, neurodegenerative diseases, and in other pathophysiological processes. We employed an advanced bioimaging and analytics workflow to enable quantitative detailed subcellular analysis of cell populations even down to single-cell level. This type of detailed analysis requires automated single cell analysis to allow for detection of both size and distribution of nSBs. For specific induction of nSB we used mesoporous silica nanoparticles (MSNs) loaded with celastrol, a plant-derived triterpene with the ability to activate the stress response. To enable specific targeting, we employed folic acid functionalized nanoparticles, which yields targeting to folate receptor expressing cancer cells. In this way, we could assess the ability to quantitatively detect directed and spatio-temporal nSB induction using 2D and 3D confocal imaging. Our results demonstrate successful implementation of an imaging and analytics workflow based on a freely available, general-purpose software platform, BioImageXD, also compatible with other imaging modalities due to full 3D/4D and high-throughput batch processing support. The developed quantitative imaging analytics workflow opens possibilities for detailed stress response examination in cell populations, with significant potential in the analysis of targeted drug delivery systems related to cell stress and other cytoprotective cellular processes.</p
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