983 resultados para Hate crime investigation


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OBJECTIVES To investigate the role of factors that modulate the association between alcohol and mortality, and to provide estimates of absolute risk of death. DESIGN The European Prospective Investigation into Cancer and nutrition (EPIC). SETTING 23 centres in 10 countries. PARTICIPANTS 380 395 men and women, free of cancer, diabetes, heart attack or stroke at enrolment, followed up for 12.6 years on average. MAIN OUTCOME MEASURES 20 453 fatal events, of which 2053 alcohol-related cancers (ARC, including cancers of upper aerodigestive tract, liver, colorectal and female breast), 4187 cardiovascular diseases/coronary heart disease (CVD/CHD), 856 violent deaths and injuries. Lifetime alcohol use was assessed at recruitment. RESULTS HRs comparing extreme drinkers (≥30 g/day in women and ≥60 g/day in men) to moderate drinkers (0.1-4.9 g/day) were 1.27 (95% CI 1.13 to 1.43) in women and 1.53 (1.39 to 1.68) in men. Strong associations were observed for ARC mortality, in men particularly, and for violent deaths and injuries, in men only. No associations were observed for CVD/CHD mortality among drinkers, whereby HRs were higher in never compared to moderate drinkers. Overall mortality seemed to be more strongly related to beer than wine use, particularly in men. The 10-year risks of overall death for women aged 60 years, drinking more than 30 g/day was 5% and 7%, for never and current smokers, respectively. Corresponding figures in men consuming more than 60 g/day were 11% and 18%, in never and current smokers, respectively. In competing risks analyses, mortality due to CVD/CHD was more pronounced than ARC in men, while CVD/CHD and ARC mortality were of similar magnitude in women. CONCLUSIONS In this large European cohort, alcohol use was positively associated with overall mortality, ARC and violent death and injuries, but marginally to CVD/CHD. Absolute risks of death observed in EPIC suggest that alcohol is an important determinant of total mortality.

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BACKGROUND Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed. CONCLUSIONS These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.

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«Quel est l'âge de cette trace digitale?» Cette question est relativement souvent soulevée durant une investigation ou au tribunal, lorsque la personne suspectée admet avoir laissé ses traces sur une scène de crime mais prétend l'avoir fait à un autre moment que celui du crime et pour une raison innocente. La première partie de cet article mettait en évidence le manque de consensus actuel dans les réponses données à cette question par les experts du domaine, ainsi que le fait qu'aucune méthodologie n'est pour l'heure validée et acceptée par la communauté forensique. C'est pourquoi ce deuxième article propose une approche formelle et pragmatique afin d'aborder la question de la datation des traces digitales en se basant sur la recherche actuelle dans le domaine du vieillissement de composés lipidiques détectés dans les traces digitales. Cette approche permet ainsi d'identifier quel type d'information le scientifique serait capable d'apporter aux enquêteurs et/ou à la Cour lors de cas de datation des traces digitales à l'heure actuelle, dans quelles conditions, et quels sont les développements encore nécessaires.

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This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 1999. The Iowa information in Crime in the United States; 1999 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 1999 Incident-Based Iowa Uniform Crime Reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

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This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 2000. The Iowa information in Crime in the United States; 2000 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 2000 Incident-Based Iowa Uniform Crime reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

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This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 2001. The Iowa information in Crime in the United States; 2001 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 2001 Incident-Based Iowa Uniform Crime Reports, which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

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This report describes how Iowa compares to other states in the nation. To promote consistency, the Iowa totals and the other states’ information have been taken entirely from the FBI’s national publication called Crime in the United States; 1998. The Iowa information in Crime in the United States; 1998 is based upon actual summary totals for selected reporting jurisdictions and produced by the U.S. Department of Justice, F.B.I. These Iowa totals cannot be compared to the 1998 Incident-Based Iowa Uniform Crime Reports which are based on actual totals for all reporting Iowa law enforcement jurisdictions.

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If it comes to the attention of a sheriff, police department or other law enforcement agency that a public offense has been committed in its jurisdiction, the law enforcement agency shall report information concerning such a public offense to the department on a form to be furnished by the department not more than thirty-five days from the time the public offense first comes to the attention of the law enforcement agency. The reports shall be used to generate crime statistics. The department shall submit statistics to the governor, the general assembly, and the division of criminal and juvenile justice planning of the department of human rights on a quarterly and yearly basis.

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If it comes to the attention of a sheriff, police department or other law enforcement agency that a public offense has been committed in its jurisdiction, the law enforcement agency shall report information concerning such a public offense to the department on a form to be furnished by the department not more than thirty-five days from the time the public offense first comes to the attention of the law enforcement agency. The reports shall be used to generate crime statistics. The department shall submit statistics to the governor, the general assembly, and the division of criminal and juvenile justice planning of the department of human rights on a quarterly and yearly basis.

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If it comes to the attention of a sheriff, police department or other law enforcement agency that a public offense has been committed in its jurisdiction, the law enforcement agency shall report information concerning such a public offense to the department on a form to be furnished by the department not more than thirty-five days from the time the public offense first comes to the attention of the law enforcement agency. The reports shall be used to generate crime statistics. The department shall submit statistics to the governor, the general assembly, and the division of criminal and juvenile justice planning of the department of human rights on a quarterly and yearly basis.

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If it comes to the attention of a sheriff, police department or other law enforcement agency that a public offense has been committed in its jurisdiction, the law enforcement agency shall report information concerning such a public offense to the department on a form to be furnished by the department not more than thirty-five days from the time the public offense first comes to the attention of the law enforcement agency. The reports shall be used to generate crime statistics. The department shall submit statistics to the governor, the general assembly, and the division of criminal and juvenile justice planning of the department of human rights on a quarterly and yearly basis.