947 resultados para ethnic differences
Resumo:
This paper analyzes the relationship between ethnic fractionalization, polarization, and conflict. In recent years many authors have found empirical evidence that ethnic fractionalization has a negative effect on growth. One mechanism that can explain this nexus is the effect of ethnic heterogeneity on rent-seeking activities and the increase in potential conflict, which is negative for investment. However the empirical evidence supporting the effect of ethnic fractionalization on the incidence of civil conflicts is very weak. Although ethnic fractionalization may be important for growth, we argue that the channel is not through an increase in potential ethnic conflict. We discuss the appropriateness of indices of polarization to capture conflictive dimensions. We develop a new measure of ethnic heterogeneity that satisfies the basic properties associated with the concept of polarization. The empirical section shows that this index of ethnic polarization is a significant variable in the explanation of the incidence of civil wars. This result is robust to the presence of other indicators of ethnic heterogeneity, other sources of data for the construction of the index, and other data structures.
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This paper reports an analysis of income related health inequalities at the AutonomousCommunity level in Spain using the self assessed health measure in the 2001 edition of theEncuesta Nacional de Salud. We use recently developed methods in order to cardinalise andmodel self assessed health within a regression framework, decompose the sources ofinequality and explain the observed differences across regions. We find that the regions with the highest levels of mean health tend to enjoy the lowest degrees of income related health inequality and vice-versa. The main feature characterizing regions where income related health inequality is low is the absence of a positive gradient between income and health. In turn, the regions where income related health inequality is greater are characterized by a strong and significant positive gradient between health and income. These results suggest that policies aimed at eliminating the gradient between health and income can potentially lead to greate r reductions in socio-economic health inequalities than policies aimed at redistributing income.
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Allele frequencies for 17 STR loci were analyzed in a sample of unrelated males from the Cabo Verde Archipelago. The samples were gathered in such a way that the origin of the subjects was perfectly identified, and they could be included in one of the leeward or windward groups of islands. This study reveals that there are significant differences between both groups of islands, and between Cabo Verdeans and other populations from sub-Sahara Africa including the Guineans, the most probable source population for Cabo Verdeans. This study confirms mtDNA data and, together with HLA and Y chromosome data already published, shows that the Cabo Verde population is substructured and atypical, diverging substantially from mainland sub-Saharan populations. Overall these differences are most probably due to admixture between sub-Saharan slaves brought into the islands and other settlers of European origin. In the absence of a clear indication of a different ethnic composition of the first sub-Saharan settlers of Cabo Verde, the differentiation exhibited in both groups of islands can be most probably be attributed to genetic drift.
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In this introductory editorial, we provide a brief overview of the history of individual difference research in leadership. We explain the major challenges that trait research faced, and why it was revived primarily because of methodological advancements. Next, we argue that leadership individual difference research is at a cusp of a renaissance. We explain why we are at this cusp and what researchers should do reify the renaissance in terms of theoretical extensions of trait models, the application of robust methodological advancements, and the development of process models linking distal (i.e., traits) predictors to proximal predictors (e.g., behaviors, skills, attitudes), and the latter to leader outcomes. We then summarize the papers we accepted for the special issue, and conclude with an optimistic note for leadership individual difference research.
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The main goal of this research is to investigate how people with different cultural background differ in their interaction style and visual behavior on search engine results pages (SERP), more specifically between groups from the Middle Eastern region vs. Western Europe. We conducted a controlled eye-tracking experiment to explore and evaluate the visual behavior of Arabs and Spaniardusers when scanning through the first page of the search results in Google. Big differences can be observed in the 4 aspects studied: U.A.E. participants stayed on the SERPs for longer, they read more results and they read each snippet in a more complete way than Spaniards. In Spain, people tended to scan the SERP, reading less text on each snippet, and choose a result among the first top rankedones without hardly seeing those in bottom positions.
Resumo:
Background/Introduction: There is little information regarding intergenerational trends in obesity levels in Switzerland. We aimed at assessing generational differences in obesity levels. Methods: Data from MONICA (1984-1986) and CoLaus-(2003-2006) surveys. Analyses were stratified by gender and age groups (35-44, 45-54, 55-64 and 65-74 years). Results: No changes were found for body mass index (BMI) between surveys (26.2±3.4 vs. 26.6±4.0 kg/m2 in men and 24.8±4.3 vs. 25.1±4.8 kg/m2 in women, for MONICA and CoLaus, respectively). ln men, the prevalence of overweight decreased from 48.6% to 46.0% and the prevalence of obesity increased slightly from 12.4% to 16.7% (p=NS). ln women, the prevalence of overweight decreased from 29.4% to 28.4% and the prevalence of obesity increased slightly from 12.9% to 14.5% (p=NS). After multivariate adjustment on age, education and smoking levels, the odds ratio (OR) and (95% confidence interval) of being obese in 2003-6 relative to 1984-6 was 1.36 (1.01-1.83) in men and 1.44 (1.07-1.93) in women, while no significant trend was found for overweight. After stratifying for age, no increase in BMI levels was found for bath genders. Obesity levels increased in participants aged 35-44 years (from 6.2% to 11.5% in men and from 4.9% to 10.0% in women, p<0.001) and 45-54 years (from 6.2% to 14.5% in men and 4.9% to 14.5% in women, p<0.001 ). After multivariate adjustment on age, education and smoking levels, the increase in obesity levels was signifiant in women aged 35-44, OR=2.10 (1.02-4.30), while a similar, albeit nonsignificant trend was obser11ed in men: 1.85 (0.97-3.51 ). Conclusion: BMI levels appear to have levelled off in Switzerland, but the prevalence of obesity is still on the rise. The increase in obesity levels among the youngest generations is of particular concern.
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Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase the power of detecting true between-group effects. We present an adaptive strategy that exploits the data structure and the prior information concerning positive dependence between nodes and connections, without relying on strong assumptions. As a first step, we decompose the brain network, i.e., the connectome, into subnetworks and we apply a screening at the subnetwork level. The subnetworks are defined either according to prior knowledge or by applying a data driven algorithm. Given the results of the screening step, a filtering is performed to seek real differences at the node/connection level. The proposed strategy could be used to strongly control either the family-wise error rate or the false discovery rate. We show by means of different simulations the benefit of the proposed strategy, and we present a real application of comparing connectomes of preschool children and adolescents.
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Over the last decades, a decline in motor skills and in physical activity and an increase in obesity has been observed in children. However, there is a lack of data in young children. We tested if differences in motor skills and in physical activity according to weight or gender were already present in 2- to 4-year-old children. Fifty-eight child care centers in the French part of Switzerland were randomly selected for the Youp'là bouge study. Motor skills were assessed by an obstacle course including 5 motor skills, derived from the Zurich Neuromotor Assessment test. Physical activity was measured with accelerometers (GT1M, Actigraph, Florida, USA) using age-adapted cut-offs. Weight status was assessed using the International Obesity Task Force criteria (healthy weight vs overweight) for body mass index (BMI). Of the 529 children (49% girls, 3.4 ± 0.6 years, BMI 16.2 ± 1.2 kg/m2), 13% were overweight. There were no significant weight status-related differences in the single skills of the obstacle course, but there was a trend (p = 0.059) for a lower performance of overweight children in the overall motor skills score. No significant weight status-related differences in child care-based physical activity were observed. No gender-related differences were found in the overall motor skills score, but boys performed better than girls in 2 of the 5 motor skills (p ≤ 0.04). Total physical activity as well as time spent in moderate-vigorous and in vigorous activity during child care were 12-25% higher and sedentary activity 5% lower in boys compared to girls (all p < 0.01). At this early age, there were no significant weight status- or gender-related differences in global motor skills. However, in accordance to data in older children, child care-based physical activity was higher in boys compared to girls. These results are important to consider when establishing physical activity recommendations or targeting health promotion interventions in young children.
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Background: Language processing abnormalities and inhibition difficulties are hallmark features of schizophrenia. The objective of this study is to asses the blood oxygenation level-dependent (BOLD) response at two different stages of the illness and compare the frontal activity between adolescents and adults with schizophrenia. Methods: 10 adults with schizophrenia (mean age 31,5 years) and 6 psychotic adolescents with schizophrenic symptoms (mean age 16,2 years) underwent functional magnetic resonance imaging while performing two frontal tasks. Regional activation is compared in the bilateral frontal areas during a covert verbal fluency task (letter version) and a Stroop task (inhibition task). Results: Preliminary results show poorer task performance and less frontal cortex activation during both tasks in the adult group of patients with schizophrenia. In the adolescent patients group, fMRI analysis show significant and larger activity in the left frontal operculum (Broca's area) in the verbal fluency task and greater activity in the medium cingulate during the inhibition phase of the Stroop task. Conclusions: These preliminary findings suggest a decrease of frontal activity in the course of the illness. We assume that schizophrenia contributes to frontal brain activity reduction.
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Introduction: Urinary steroid profiling is used in doping controls to detect testosterone abuse. A testosterone over epitestosterone (T/E) ratio exceeding 4.0 is considered as suspicious of testosterone administration, irrespectively of individual heterogeneous factors such as the athlete's ethnicity. A deletion polymorphism in the UGT2B17 gene was demonstrated to account for a significant part of the inter-individual variability in the T/E between Caucasians and Asians. However, the anti-doping strategy includes the determination of carbon isotope ratio on androgen metabolites which has been demonstrated to be reliable for the direct detection of testosterone misuse. Herein, we examined the profiles and the variability in the 13C/12Cratios of urinary steroids in a widely heterogeneous cohort of professional soccer players residing in different world countries (Argentina, Italy, Japan, South-Africa, Switzerland and Uganda). Aim: The determination of threshold values based on genotype information and diet specific of the ethnicity is expected to enhance significantly the detection of testosterone misuse. Methods: The steroid profile of 57 Africans, 32 Asians, 50 Caucasians and 32 Hispanics was determined by gas chromatography-mass spectrometry. The carbon isotope ratio of selected androgens in urine specimens were determined by means of gas chromatography/combustion/isotope ratio mass spectrometry (GC-C-IRMS). Results: Significant differences have been observed between all ethnic groups. After estimation of the prevalence of the UGT2B17 deletion/deletion genotype (African:22%; Asian:81%; Caucasian:10%; Hispanic:7%), ethnicspecific thresholds were developed for a specificity of 99% for the T/E (African:5.6; Asian:3.8; Caucasian:5.7; Hispanic:5.8). Italian and Swiss populations recorded an enrichment in 13C of the urinary steroids with respect to the other groups, thereby supporting consumption of a relatively larger proportion of C3 plants in their diet. Noteworthy, detection criteria based on the difference in the carbon isotope ratio of androsterone and pregnanediol for each population were well below the established threshold value for positive cases. Conclusion: These profiling results demonstrate that a unique and nonspecific threshold to evidence testosterone misuse is not fit for purpose. In addition, the carbon isotopic ratio from these different diet groups highlight the importance to adapt the criteria for increasing the sensitivity in the detection of exogenous testosterone. In conclusion, it may be emphasized that combining the use of isotope ratio mass spectrometry including refined interpretation criteria for positivity and the subject-based profiling of steroids will most probably improve the efficiency of the confirmatory test.
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A dose-response strategy may not only allow investigation of the impact of foods and nutrients on human health but may also reveal differences in the response of individuals to food ingestion based on their metabolic health status. In a randomized crossover study, we challenged 19 normal-weight (BMI: 20-25 kg/m(2)) and 18 obese (BMI: >30 kg/m(2)) men with 500, 1000, and 1500 kcal of a high-fat (HF) meal (60.5% energy from fat). Blood was taken at baseline and up to 6 h postprandially and analyzed for a range of metabolic, inflammatory, and hormonal variables, including plasma glucose, lipids, and C-reactive protein and serum insulin, glucagon-like peptide-1, interleukin-6 (IL-6), and endotoxin. Insulin was the only variable that could differentiate the postprandial response of normal-weight and obese participants at each of the 3 caloric doses. A significant response of the inflammatory marker IL-6 was only observed in the obese group after ingestion of the HF meal containing 1500 kcal [net incremental AUC (iAUC) = 22.9 ± 6.8 pg/mL × 6 h, P = 0.002]. Furthermore, the net iAUC for triglycerides significantly increased from the 1000 to the 1500 kcal meal in the obese group (5.0 ± 0.5 mmol/L × 6 h vs. 6.0 ± 0.5 mmol/L × 6 h; P = 0.015) but not in the normal-weight group (4.3 ± 0.5 mmol/L × 6 h vs. 4.8 ± 0.5 mmol/L × 6 h; P = 0.31). We propose that caloric dose-response studies may contribute to a better understanding of the metabolic impact of food on the human organism. This study was registered at clinicaltrials.gov as NCT01446068.