984 resultados para Alberta Infant Motor Scale
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The purpose of this study was to evaluate the factor structure and the reliability of the French versions of the Identity Style Inventory (ISI-3) and the Utrecht-Management of Identity Commitments Scale (U-MICS) in a sample of college students (N = 457, 18 to 25 years old). Confirmatory factor analyses confirmed the hypothesized three-factor solution of the ISI-3 identity styles (i.e. informational, normative, and diffuse-avoidant styles), the one-factor solution of the ISI-3 identity commitment, and the three-factor structure of the U-MICS (i.e. commitment, in-depth exploration, and reconsideration of commitment). Additionally, theoretically consistent and meaningful associations among the ISI-3, U-MICS, and Ego Identity Process Questionnaire (EIPQ) confirmed convergent validity. Overall, the results of the present study indicate that the French versions of the ISI-3 and UMICS are useful instruments for assessing identity styles and processes, and provide additional support to the cross-cultural validity of these tools.
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The latest results from the study paint a picture of how these families are faring across a range of areas in their lives including their health, family life and financial and economic circumstances. In general the findings show that three-year-olds in Ireland are in good health with a few notable public health and related issues (including overweight and obesity), there is overall stability in family structures over the short term and that the recession has had a substantial effect on families with young children over the last number of years. These are the first longitudinal findings from the study. The first wave of fieldwork with the families of the Infant Cohort included approximately 11,100 nine-month-olds, their parents and carers. Interviews began in September 2008 and were completed in March 2009. Interviews for the second round of interviews with this cohort took place between January and August 2011. A total of 90% of the original sample of nine-month-olds were successfully re-interviewed. (A full download of the results released today, presented in three briefing documents can be found by clicking here. Key findings include: Health â?¢ Most of the children were described as being in good health; 75% were rated as very healthy and a further 23% were rated as healthy, but a few minor problems. Girls were more likely to be reported as very healthy (78%) compared with boys (72%). â?¢ One in four or almost one quarter of three-year-old children were overweight (19%) or obese (6%). â?¢ Childrenâ?Ts weight was related to household social class. 5% of children in families in the professional/managerial group were classified as obese at three years of age compared with 9% of those in the most disadvantaged social class group. However, at least one-fifth of children in every social class were overweight. â?¢ Childrens consumption of energy-dense foods such as crisps, sweets, chips, and non-diet fizzy drinks increased as parental education fell. 63% of children whose mother had a lower secondary education or less ate at least one portion of crisps compared with 36% of those from degree-level backgrounds, although consumption of biscuits/chocolates was over 70% for both groups of children. â?¢ Two-thirds (66%) of three-year-olds had received at least one course of antibiotics in the 12 months preceding the interview. Children with a full medical card (35% of the sample) or a GP-only medical card (5% of the sample) were more likely to have received a course of antibiotics than â?¢ Children with a full medical card received a higher number of antibiotic courses on average (2.6) compared with those without a medical card (2.1). â?¢ Just under 16% of three-year-old children were reported as having at least one longstanding illness, condition or disability. The most commonly reported illness types included Asthma (5.8%), Eczema/Skin allergies (3.9%) and Food/digestive allergies (1.2%) Family Life and Childcare â?¢ While the overall distribution of family structure was stable, there have been transitions from one-parent families to two-parent families and vice-versa over the 27 months between interview â?" approximately 2 to 3 percent in each direction. â?¢ 50% of three year olds were in some form of non-parental childcare for eight or more hours a week. The most common form used was centre-based childcare which almost tripled between nine months and three years, from 11% to 30%. â?¢ A similar percentage of grandparents were caring for children at both nine months and three years, 12% and 11% respectively. A total of 10% of three-year-olds were being minded by a childminder, an increase of 3 percentage points from when the children were nine months of age. â?¢ Children who were in some form of non-parental childcare were spending an average of 23 hours a week in their main type of childcare. â?¢ At time of interview the vast majority of mothers reported that they had regular contact with the Study Childâ?Ts grandparents (91%). In offering support to parents, grandparents were most likely to babysit (50%), and buy clothes (40%) at least on a monthly basis. One-parent families were more likely than two-parent families to receive financial support from grandparents with just under one-third (66%) of one-parent families receiving financial support from grandparents at least once every three months. â?¢ The most frequently used discipline technique was â?~discussing or explaining why the behaviour was wrongâ?T, with 63% of mothers saying they always did this. â?¢ 12% of mothers said they used â?~smackingâ?T as a form of discipline now and again and less than 1% used â?~smackingâ?T as a form of discipline more frequently. Over half reported that they never smacked the Study Child. Financial and Economic Circumstances â?¢ Just over half (53%) of mothers of three-year-olds worked outside the home, 38% said they were on home duties and 6% said they were unemployed. â?¢ The biggest change in terms of the work status of three-year-oldsâ?T parents was an increase in the percentage of unemployed fathers â?" 6% when the child was nine months rising to almost 14% when s/he was three years of age. â?¢ 61% of families of three-year-olds reported experiencing difficulties in making â?~ends meetâ?T. This was a substantial increase from 44% in the first round of interviews when the children were nine-months-old. â?¢ Almost two thirds (63%) of all families with three-year-olds reported that the recession had had a very significant or significant effect on them. â?¢ The most frequently recorded effects were: a reduction in wages (63%); canâ?Tt afford luxuries (54%), social welfare reduction (53%) and canâ?Tt afford/cut back on basics (32%). Growing Up in Ireland is a Government funded study tracking the development of two nationally representative cohorts of children: an Infant Cohort which was interviewed initially at nine months and subsequently at three years of age; and a Child Cohort which was interviewed initially at nine years and subsequently at 13 years of age. The study is being conducted by a consortium of researchers led by the Economic and Social Research Institute (ESRI) and Trinity College Dublin. For Further Information Please Contact: Jillian Heffernan Communications Officer, Growing Up in Ireland Tel: 01 896 3378 Mobile: 087 9016880This resource was contributed to our repository by the National Documentation Centre on Drug Use.
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This second edition of Health at a Glance: Europe presents a set of key indicators of health and health systems in 35Â European countries, including the 27 European Union member states, 5 candidate countries and 3 EFTA countries. The selection of indicators is based largely on the European Community Health Indicators (ECHI) shortlist, a list of indicators that has been developed by the European Commission to guide the development and reporting of health statistics. It is complemented by additional indicators on health expenditure and quality of care, building on the OECD expertise in these areas. Contents: Introduction 12 Chapter 1. Health status 15 1.1. Life expectancy and healthy life expectancy at birth 1.2. Life expectancy and healthy life expectancy at age 65 1.3. Mortality from all causes 1.4. Mortality from heart disease and stroke 1.5. Mortality from cancer 1.6. Mortality from transport accidents 1.7. Suicide 1.8. Infant mortality 1.9. Infant health: Low birth weight 1.10. Self-reported health and disability 1.11. Incidence of selected communicable diseases 1.12. HIV/AIDS 1.13. Cancer incidence 1.14. Diabetes prevalence and incidence 1.15. Dementia prevalence 1.16. Asthma and COPD prevalence Chapter 2. Determinants of health 49 2.1. Smoking and alcohol consumption among children 2.2. Overweight and obesity among children 2.3. Fruit and vegetable consumption among children 2.4. Physical activity among children 2.5. Smoking among adults 2.6. Alcohol consumption among adults 2.7. Overweight and obesity among adults 2.8. Fruit and vegetable consumption among adults Chapter 3. Health care resources and activities 67 3.1. Medical doctors 3.2. Consultations with doctors 3.3. Nurses 3.4. Medical technologies: CT scanners and MRI units 3.5. Hospital beds 3.6. Hospital discharges 3.7. Average length of stay in hospitals 3.8. Cardiac procedures (coronary angioplasty) 3.9. Cataract surgeries 3.10. Hip and knee replacement 3.11. Pharmaceutical consumption 3.12. Unmet health care needs Chapter 4. Quality of care 93 Care for chronic conditions 4.1. Avoidable admissions: Respiratory diseases 4.2. Avoidable admissions: Uncontrolled diabetes Acute care 4.3. In-hospital mortality following acute myocardial infarction 4.4. In-hospital mortality following stroke Patient safety 4.5. Procedural or postoperative complications 4.6. Obstetric trauma Cancer care 4.7. Screening, survival and mortality for cervical cancer 4.8. Screening, survival and mortality for breast cancer 4.9. Screening, survival and mortality for colorectal cancer Care for communicable diseases 4.10. Childhood vaccination programmes 4.11. Influenza vaccination for older people Chapter 5. Health expenditure and financing 117 5.1. Coverage for health care 5.2. Health expenditure per capita 5.3. Health expenditure in relation to GDP 5.4. Health expenditure by function. 5.5. Pharmaceutical expenditure 5.6. Financing of health care 5.7. Trade in health services Bibliography 133 Annex A. Additional information on demographic and economic context 143 Most European countries have reduced tobacco consumption via public awareness campaigns, advertising bans and increased taxation. The percentage of adults who smoke daily is below 15% in Sweden and Iceland, from over 30% in 1980. At the other end of the scale, over 30% of adults in Greece smoke daily. Smoking rates continue to be high in Bulgaria, Ireland and Latvia (Figure 2.5.1). Alcohol consumption has also fallen in many European countries. Curbs on advertising, sales restrictions and taxation have all proven to be effective measures. Traditional wine-producing countries, such as France, Italy and Spain, have seen consumption per capita fall substantially since 1980. Alcohol consumption per adult rose significantly in a number of countries, including Cyprus, Finland and Ireland (Figure 2.6.1).This resource was contributed by The National Documentation Centre on Drug Use.
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This review was established to consider why, despite a general improvement in infant mortality rates, health inequalities in infant mortality between different social groups remain. It identifies a range of issues and makes recommendations relevant to the health inequalities 2010 PSA target. Its recommendations are being shared with the NHS and others before the department issues further guidance.
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This study reveals a picture of inequalities in infant mortality across London.
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This report explores the factors that contribute to infant mortality in the capital and ways in which commissioners might monitor the contribution of their local NHS to the national infant mortality target as well as contributing to maternity policy.
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The 2008 annual update on infant mortality rates to monitor progress against the Department of Health infant mortality inequality PSA target.
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The publication shows how to narrow the health inequalities gap in infant mortality by looking at current examples of best practice.
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Debris flow hazard modelling at medium (regional) scale has been subject of various studies in recent years. In this study, hazard zonation was carried out, incorporating information about debris flow initiation probability (spatial and temporal), and the delimitation of the potential runout areas. Debris flow hazard zonation was carried out in the area of the Consortium of Mountain Municipalities of Valtellina di Tirano (Central Alps, Italy). The complexity of the phenomenon, the scale of the study, the variability of local conditioning factors, and the lacking data limited the use of process-based models for the runout zone delimitation. Firstly, a map of hazard initiation probabilities was prepared for the study area, based on the available susceptibility zoning information, and the analysis of two sets of aerial photographs for the temporal probability estimation. Afterwards, the hazard initiation map was used as one of the inputs for an empirical GIS-based model (Flow-R), developed at the University of Lausanne (Switzerland). An estimation of the debris flow magnitude was neglected as the main aim of the analysis was to prepare a debris flow hazard map at medium scale. A digital elevation model, with a 10 m resolution, was used together with landuse, geology and debris flow hazard initiation maps as inputs of the Flow-R model to restrict potential areas within each hazard initiation probability class to locations where debris flows are most likely to initiate. Afterwards, runout areas were calculated using multiple flow direction and energy based algorithms. Maximum probable runout zones were calibrated using documented past events and aerial photographs. Finally, two debris flow hazard maps were prepared. The first simply delimits five hazard zones, while the second incorporates the information about debris flow spreading direction probabilities, showing areas more likely to be affected by future debris flows. Limitations of the modelling arise mainly from the models applied and analysis scale, which are neglecting local controlling factors of debris flow hazard. The presented approach of debris flow hazard analysis, associating automatic detection of the source areas and a simple assessment of the debris flow spreading, provided results for consequent hazard and risk studies. However, for the validation and transferability of the parameters and results to other study areas, more testing is needed.
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Every year, debris flows cause huge damage in mountainous areas. Due to population pressure in hazardous zones, the socio-economic impact is much higher than in the past. Therefore, the development of indicative susceptibility hazard maps is of primary importance, particularly in developing countries. However, the complexity of the phenomenon and the variability of local controlling factors limit the use of processbased models for a first assessment. A debris flow model has been developed for regional susceptibility assessments using digital elevation model (DEM) with a GIS-based approach.. The automatic identification of source areas and the estimation of debris flow spreading, based on GIS tools, provide a substantial basis for a preliminary susceptibility assessment at a regional scale. One of the main advantages of this model is its workability. In fact, everything is open to the user, from the data choice to the selection of the algorithms and their parameters. The Flow-R model was tested in three different contexts: two in Switzerland and one in Pakistan, for indicative susceptibility hazard mapping. It was shown that the quality of the DEM is the most important parameter to obtain reliable results for propagation, but also to identify the potential debris flows sources.
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El TFC consisteix en l'anàlisi i disseny d'un sistema que permeti administrar les regles d'una organització. Les regles de negoci són importants per a les empreses, ja que descriuen com aquestes realitzen les seves activitats. En aquest TFC es proposa un sistema que permetrà gestionar les esmentades regles.
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Studying patterns of species distributions along elevation gradients is frequently used to identify the primary factors that determine the distribution, diversity and assembly of species. However, despite their crucial role in ecosystem functioning, our understanding of the distribution of below-ground fungi is still limited, calling for more comprehensive studies of fungal biogeography along environmental gradients at various scales (from regional to global). Here, we investigated the richness of taxa of soil fungi and their phylogenetic diversity across a wide range of grassland types along a 2800 m elevation gradient at a large number of sites (213), stratified across a region of the Western Swiss Alps (700 km(2)). We used 454 pyrosequencing to obtain fungal sequences that were clustered into operational taxonomic units (OTUs). The OTU diversity-area relationship revealed uneven distribution of fungal taxa across the study area (i.e. not all taxa are everywhere) and fine-scale spatial clustering. Fungal richness and phylogenetic diversity were found to be higher in lower temperatures and higher moisture conditions. Climatic and soil characteristics as well as plant community composition were related to OTU alpha, beta and phylogenetic diversity, with distinct fungal lineages suggesting distinct ecological tolerances. Soil fungi, thus, show lineage-specific biogeographic patterns, even at a regional scale, and follow environmental determinism, mediated by interactions with plants.
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Pantomimes of object use require accurate representations of movements and a selection of the most task-relevant gestures. Prominent models of praxis, corroborated by functional neuroimaging studies, predict a critical role for left parietal cortices in pantomime and advance that these areas store representations of tool use. In contrast, lesion data points to the involvement of left inferior frontal areas, suggesting that defective selection of movement features is the cause of pantomime errors. We conducted a large-scale voxel-based lesion-symptom mapping analyses with configural/spatial (CS) and body-part-as-object (BPO) pantomime errors of 150 left and right brain-damaged patients. Our results confirm the left hemisphere dominance in pantomime. Both types of error were associated with damage to left inferior frontal regions in tumor and stroke patients. While CS pantomime errors were associated with left temporoparietal lesions in both stroke and tumor patients, these errors appeared less associated with parietal areas in stroke than in tumor patients and less associated with temporal in tumor than stroke patients. BPO errors were associated with left inferior frontal lesions in both tumor and stroke patients. Collectively, our results reveal a left intrahemispheric dissociation for various aspects of pantomime, but with an unspecific role for inferior frontal regions.