827 resultados para Equity, Justice, Inequality, and Other Normative Criteria and Measurement
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In response to our suggestion to define substance use disorders via 'heavy use over time', theoretical and conceptual issues, measurement problems and implications for stigma and clinical practice were raised. With respect to theoretical and conceptual issues, no other criterion has been shown, which would improve the definition. Moreover, heavy use over time is shown to be highly correlated with number of criteria in current DSM-5. Measurement of heavy use over time is simple and while there will be some underestimation or misrepresentation of actual levels in clinical practice, this is not different from the status quo and measurement of current criteria. As regards to stigma, research has shown that a truly dimensional concept can help reduce stigma. In conclusion, 'heavy use over time' as a tangible common denominator should be seriously considered as definition for substance use disorder.
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Briefing 10 - Lessons from experience This document, commissioned by Public Health England, and written by the UCL Institute of Health Equity, sets out 12 points to consider when taking action locally on the social determinants of health. It is intended as a source of information on approaches to consider when devising local programmes and strategies to reduce health inequalities. It complements the other briefings and evidence reviews in this series, which provide more detail on action on specific social determinant areas, such as employment and early years interventions, including information on impacts and cost effectiveness where available. The 12 steps are divided across three parts. The first part sets out four strategies that help prioritise action on health equity. The next steps are principles of effective action on the social determinants of the health, presented in the second part. Finally, the steps in part three outline ways of ensuring that measures to increase health equity are sustainable and have impact over the long term. The briefing is available to download above. This document is part of a series. An overview document which provides an introduction to this and other documents in the series, and links to the other topic areas, is available on the ‘Local Action on health inequalities’ project page. A video of Michael Marmot introducing the work is also available on our videos page.
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The aim of this study was to describe spatial patterns of the distribution of leprosy and to investigate spatial clustering of incidence rates in the state of Ceará, Northeast Brazil. The average incidence rate of leprosy for the period of 1991 to 1999 was calculated for each municipality of Ceará. Maps were used to describe the spatial distribution of the disease, and spatial statistics were applied to explore large- and small-scale variations of incidence rates. Three regions were identified in which the incidence of leprosy was particularly high. A spatial gradient in the incidence rates was identified, with a tendency of high rates to be concentrated on the North-South axis in the middle region of the state. Moran's I statistic indicated that a significant spatial autocorrelation also existed. The spatial distribution of leprosy in Ceará is heterogeneous. The reasons for spatial clustering of disease rates are not known, but might be related to an heterogeneous distribution of other factors such as crowding, social inequality, and environmental characteristics which by themselves determine the transmission of Mycobacterium leprae.
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Funds for this report and grant were provided to the Iowa Division of Criminal and Juvenile Justice Planning (CJJP) and Statistical Analysis Center, by the Justice Research and Statistics Association (JRSA) through a cooperative agreement entitled “Juvenile Justice Evaluation Resource Center” with the Office of Juvenile Justice and Delinquency Prevention (OJJDP), U.S. Department of Justice (DOJ).
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Returns to scale to capital and the strength of capital externalities play a key role for the empirical predictions and policy implications of different growth theories. We show that both can be identified with individual wage data and implement our approach at the city-level using US Census data on individuals in 173 cities for 1970, 1980, and 1990. Estimation takes into account fixed effects, endogeneity of capital accumulation, and measurement error. We find no evidence for human or physical capital externalities and decreasing aggregate returns to capital. Returns to scale to physical and human capital are around 80 percent. We also find strong complementarities between human capital and labor and substantial total employment externalities.
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This paper reports an analysis of the evolution of income related health inequalities in Spain over the period 1987-2001. We use recently developed methods in order to cardinalise and model self assessed health within a regression framework, decompose the sources of inequality and explain the observed differences between 1987 (one year after the 1986 General Health Act was approved) and 2001 (the latest available representative data on health for the Spanish population). The results show that the period has witnessed a reduction in income related health inequality. The driver of such reduction has been the weakening of the income health gradient, which lends support to the hypothesis that the important health policy reforms implemented over the period have been successful in the objective of reducing socio-economic inequalities in health. Our results also suggest that actions aimed at improving the health of those with low levels of education and of those who are not actively participating in the labor market would lead to further reductions in income related health inequality.
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Background and Aims: normal weight obesity (NWO) has been defined as an excessive body fat (BF) associated with a normal body mass index (BMI). Little is known regarding its prevalence in the general population or which cut-offs for BF should be used. Methods: convenience sample of 1,523 Portuguese adults. BF was measured by validated hand-held bioimpedance. NWO was defined as a BMI<25 kg/m2 and a %BF mass>30%, along other published criteria. Results: prevalence of NWO was 10.1% in women and 3.2% in men. In women, prevalence of NWO increased considerably with age, and virtually all women aged over 55 with a BMI<25 kg/m2 were actually considered as NWO. Using gender specific cut-offs for BF (29.1% in men and 37.2% in women) led to moderately lower of NWO in women. Using gender- and age-specific cut-points for %BF considerably decreased the prevalence of NWO in women (0.5 to 2.5% depending on the criterion) but not in men (1.9 to 3.4%). Conclusions: gender- and age- specific or at least gender-specific, instead of single cut-offs for %BF, should be used to characterize and study NWO.
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Returns to scale to capital and the strength of capital externalities play a key role for the empirical predictions and policy implications of different growth theories. We show that both can be identified with individual wage data and implement our approach at the city-level using US Census data on individuals in 173 cities for 1970, 1980, and 1990. Estimation takes into account fixed effects, endogeneity of capital accumulation, and measurement error. We find no evidence for human or physical capital externalities and decreasing aggregate returns to capital. Returns to scale to physical and human capital are around 80 percent. We also find strong complementarities between human capital and labor and substantial total employment externalities.
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On October 12th 2007, the inaugural Girls’ Summit on females in the juvenile justice system was held. This Summit brought together key decision makers in an exploration of research and data. Those who attended were also asked to make recommendations regarding a course of action. This report represents an effort to improve our response to these young women in Iowa. It highlights pertinent information covered at the Summit as well as resulting conclusions and recommendations. On behalf of the Iowa Gender Specific Services Task Force and the participants of the Girls’ Summit, it is my hope that this report will serve as a road map for necessary improvements as well as a means to reinforce the effective tools that are already in place. There are differences that exist between young women and young men in the juvenile justice system and the efficacy of professionals rests heavily on a better understanding of these differences and how they impact the justice system response.
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We present a new general concentration-of-measure inequality and illustrate its power by applications in random combinatorics. The results find direct applications in some problems of learning theory.
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This paper outlines recent conceptual and methodological developments in the assessment of triadic and family group process during infancy and toddlerhood. Foundations of the emerging family group process are identified, and conditions specific to the assessment of the family during the early phases of family formation are summarized. Both microanalytic and global approaches to evaluating mother-father-child interactions are discussed. We highlight both similarities and differences in the strategies and methods employed by several different investigators who have been studying the group dynamics of families with infant and toddler children, and underscore several important family patterns and emerging themes that appear to be cutting across these different methods and measurement strategies. Preliminary evidence for the validity and clinical significance of family-level assessments is summarized, and directions currently being pursued by researchers engaged in studies of the family triad are outlined. We close by identifying several conceptual and clinical issues that remain to be addressed by subsequent work.
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Aims/hypothesis We assessed systemic and local muscle fuel metabolism during aerobic exercise in patients with type I diabetes at euglycaemia and hyperglycaemia with identical insulin levels.Methods This was a single-blinded randomised crossover study at a university diabetes unit in Switzerland. We studied seven physically active men with type I diabetes (mean +/- SEM age 33.5 +/- 2.4 years, diabetes duration 20.1 +/- 3.6 years, HbA(1c) 6.7 +/- 0.2% and peak oxygen uptake [VO2peak] 50.3 +/- 4.5 ml min(-1) kg(-1)). Men were studied twice while cycling for 120 min at 55 to 60% of VO2peak, with a blood glucose level randomly set either at 5 or 11 mmol/l and identical insulinaemia. The participants were blinded to the glycaemic level; allocation concealment was by opaque, sealed envelopes. Magnetic resonance spectroscopy was used to quantify intramyocellular glycogen and lipids before and after exercise. Indirect calorimetry and measurement of stable isotopes and counter-regulatory hormones complemented the assessment of local and systemic fuel metabolism.Results The contribution of lipid oxidation to overall energy metabolism was higher in euglycaemia than in hyperglycaemia (49.4 +/- 4.8 vs 30.6 +/- 4.2%; p<0.05). Carbohydrate oxidation accounted for 48.2 +/- 4.7 and 66.6 +/- 4.2% of total energy expenditure in euglycaemia and hyperglycaemia, respectively (p<0.05). The level of intramyocellular glycogen before exercise was higher in hyperglycaemia than in euglycaemia (3.4 +/- 0.3 vs 2.7 +/- 0.2 arbitrary units [AU]; p<0.05). Absolute glycogen consumption tended to be higher in hyperglycaemia than in euglycaemia (1.3 +/- 0.3 vs 0.9 +/- 0.1 AU). Cortisol and growth hormone increased more strongly in euglycaemia than in hyperglycaemia (levels at the end of exercise 634 52 vs 501 +/- 32 nmol/l and 15.5 +/- 4.5 vs 7.4 +/- 2.0 ng/ml, respectively; p<0.05).Conclusions/interpretation Substrate oxidation in type I diabetic patients performing aerobic exercise in euglycaemia is similar to that in healthy individuals revealing a shift towards lipid oxidation during exercise. In hyperglycaemia fuel metabolism in these patients is dominated by carbohydrate oxidation. Intramyocellular glycogen was not spared in hyperglycaemia.
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Young women in the juvenile justice system present with characteristics and experiences that differentiate them from their male counterparts. As such, the juvenile justice system in Iowa must consider these factors if it is to effectively and efficiently impact recidivism, rehabilitation and public safety. Data reveal the following trends: All youth in the juvenile justice system experience a significantly higher rate of child maltreatment than do youth in the general population. Additionally, young women have a distinctly higher percentage of reported sexual abuse. Young women commit primarily non-violent offenses, with shoplifting and running away being the only two areas where they exceed young men in number. Young women are held in detention for a substantially higher percentage of misdemeanor versus felony offenses than young men. Young women of color, particularly African American females, are far more likely to come into contact with the juvenile justice system. Additionally, arrests of minority females have increased during the same time frame as arrests of Caucasian females have decreased. The general type of offense committed by young women is against public order (i.e. alcohol related violations, disorderly conduct) or property (i.e. shoplifting), though young women with subsequent charges of a violent nature are likely to have had violent offenses initially as well. Historically, young women have been a smaller segment of the juvenile justice population. They remain so today. Consequently, they are easy to overlook. But Iowa’s response to them is no less important. Perhaps, because they are fewer in number, our system can have a true and meaningful influence, with prevention of further penetration into both the juvenile and adult systems being the ultimate goal. The Iowa Task Force on Young Women recommends the following measures to facilitate movement toward that goal: 1. Facilities and programs striving to provide the most effective and efficient services to young women will opt for single gender environments with female responsive programming that includes components to address trauma. 2. All institutions and agencies that work with females involved in the juvenile justice system and which receive state funding should be required to provide annual female responsive training to their employees. Training should be research based, progressive, ongoing and result in an implementation plan. 3. As detention reform proceeds, gender and the disproportionate number of females in detention for misdemeanor offenses must be an integral part of policy and decision making discussions including any recommendations for solutions to be implemented. 4. As research, data and planning progresses related to disproportionate minority contact with the juvenile system, the needs of girls of color be given equal consideration. Specifically, assessment tools must be without race/ethnic bias and they must also be female responsive.
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A review of nearly three decades of cross-cultural research shows that this domain still has to address several issues regarding the biases of data collection and sampling methods, the lack of clear and consensual definitions of constructs and variables, and measurement invariance issues that seriously limit the comparability of results across cultures. Indeed, a large majority of the existing studies are still based on the anthropological model, which compares two cultures and mainly uses convenience samples of university students. This paper stresses the need to incorporate a larger variety of regions and cultures in the research designs, the necessity to theorize and identify a larger set of variables in order to describe a human environment, and the importance of overcoming methodological weaknesses to improve the comparability of measurement results. Cross-cultural psychology is at the next crossroads in it's development, and researchers can certainly make major contributions to this domain if they can address these weaknesses and challenges.
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Social scientists often estimate models from correlational data, where the independent variable has not been exogenously manipulated; they also make implicit or explicit causal claims based on these models. When can these claims be made? We answer this question by first discussing design and estimation conditions under which model estimates can be interpreted, using the randomized experiment as the gold standard. We show how endogeneity--which includes omitted variables, omitted selection, simultaneity, common methods bias, and measurement error--renders estimates causally uninterpretable. Second, we present methods that allow researchers to test causal claims in situations where randomization is not possible or when causal interpretation is confounded, including fixed-effects panel, sample selection, instrumental variable, regression discontinuity, and difference-in-differences models. Third, we take stock of the methodological rigor with which causal claims are being made in a social sciences discipline by reviewing a representative sample of 110 articles on leadership published in the previous 10 years in top-tier journals. Our key finding is that researchers fail to address at least 66 % and up to 90 % of design and estimation conditions that make causal claims invalid. We conclude by offering 10 suggestions on how to improve non-experimental research.