Suchergebnisse

Historical analyses of demographic phenomena from the past few decades have provided new insights requiring the reassessment of a number of traditional paradigms, such as the venerable demographic transition theory. Fertility studies have dominated this research, but there is a growing interest in the interrelationships of several demographic variables, such as family formation and infant mortality (Knodel and Hermalin 1984; Nault et al. 1990; Potter 1988a; Working Group on the Health Consequences of Contraceptive Use and Controlled Fertility 1989a, 1989b). This article falls into the latter category; in it we investigate the relationship between childbearing (fertility) and infant mortality in the Utah frontier population during the late nineteenth and early twentieth centuries.

This study focuses on the relationship between fertility and migration in families settling the Utah Territory. Genealogical data are used to identify the timing of migration (i.e., after, during, or before childbearing) and country of originfor migrants; and to analyze both fer tility levels for different types of migrants and the changes in fertility behavior associated with these levels. The highest fertility levels are among adults who migrated during their reproductive ages. Those who migrated young, before childbearing began, have lower fertility and are similar to natives of the frontier. Adult immigrants and emigrants of the Utah Territory use multiple strategies offamily formation.

Dans cet article, les auteurs présentent une analyse de fécondité différentielle. L'intérêt de cette recherche est double : d'une part, elle apporte des résultats concrets sur les facteurs de transformation des comportements ; d'autre part, elle s'appuie sur une méthode d'analyse catégorielle qui permet de prendre en compte simultanément diverses variables explicatives.
L'adhésion religieuse et le mode de résidence jouent indiscutablement un rôle important dans les stratégies de fécondité. Le poids respectif de ces deux facteurs évolue dans le temps.

When studying the death rate of women who died during or soon after child birth, a number of special precautions should be taken : one should have a large sampling, a methodical choice of observations, and information about the conditions of delivery.
Although deaths in this category can sometimes be attributed to various infections, infectious diseases were not as important a cause of death as is generally believed. A comparative study of different parts of the world - west France and the state of Utah - allow us to test this hypothesis and examine other éléments which have an influence on the death rates of both women and children.

Dans cet article, les auteurs présentent la base de données du centre de génétique de Sait Lake City (Department of human Genetics). Ils ont utilisé, pour constituer leur banque, les fiches de famille élaborées par les membres de l'Église des Saints du Dernier Jour, divers livres de raison émanant aussi des fidèles mormons et ils ont complété leur information en y annexant l'état civil et les listes nominatives du Census.
La critique des données de type généalogique a été très poussée : elle laisse entrevoir une qualité indiscutable des sources qu'il faut cependant corriger ou compléter dans certains cas.
Le centre de génétique est un carrefour interdisciplinaire qui accueille de nombreux chercheurs extérieurs. Son apport en matière de démographie historique est très important. Dans le domaine de la génétique et de l'épidémiologie, il est considérable.
En réalité, ces recherches se fécondent réciproquement.

<i>Objective:</i> An exploratory analysis of co-aggregation of cancers using registry-based data. <i>Methods:</i> We utilized sibships from over 18,000 families who had been recruited to the NCI-sponsored multi-institutional Cancer Genetics Network. The analysis assesses co-aggregation at the individual and family level and adjusts for ascertainment. <i>Results:</i> We found statistically significant familial co-aggregation of lung cancer with pancreatic (adjusted p < 0.001), prostate (adjusted p < 0.003), and colorectal cancers (adjusted p = 0.004). In addition, we found significant familial co-aggregation of pancreatic and colorectal cancers (adjusted p = 0.018), and co-aggregation of hematopoietic and (non-ovarian) gynecologic cancers (adjusted p = 0.01). <i>Conclusion:</i> This analysis identified familial aggregation of cancers for which a genetic component has yet to be established.

The National Cancer Institute established the Cancer Genetics Network (CGN) to support collaborative investigations into the genetic basis of cancer susceptibility, explore mechanisms to integrate this new knowledge into medical practice, and identify ways of addressing the associated psychosocial, ethical, legal, and public health issues.The CGN has developed the complex infrastructure required to support the projects, including the establishment of guidelines and policies, uniform methods, standard questionnaires to be used by all of the centers, and a standard format for submission of data to the Informatics Center. Cancer patients and their family members have been invited to enroll and be included in a pool of potential study participants. The Information Technology Group is responsible for support of the design, implementation, and maintenance of the multicenter Network-wide research protocols.As of January 2004, the CGN contained data on 23,995 probands (participants) and 425,798 family members. As a resource for cancer genetic studies, the CGN has a large number of probands and first-degree relatives with and without cancer and with multiple ethnicities. Different study designs can be used including case-control, case-case, and family studies.The unique resources of the CGN are available for studies on cancer genetic susceptibility, translational research, and behavioral research. The CGN is now at a point where approved collaborators may have access to enrolled patients and their families for special studies, as well as to the clinical, environmental and family cancer history data banked in the Informatics Center.

ObjectiveThe National Cancer Institute established the Cancer Genetics Network (CGN) to support collaborative investigations into the genetic basis of cancer susceptibility, explore mechanisms to integrate this new knowledge into medical practice, and identify ways of addressing the associated psychosocial, ethical, legal, and public health issues.Subjects and methodsThe CGN has developed the complex infrastructure required to support the projects, including the establishment of guidelines and policies, uniform methods, standard questionnaires to be used by all of the centers, and a standard format for submission of data to the Informatics Center. Cancer patients and their family members have been invited to enroll and be included in a pool of potential study participants. The Information Technology Group is responsible for support of the design, implementation, and maintenance of the multicenter Network-wide research protocols.ResultsAs of January 2004, the CGN contained data on 23,995 probands (participants) and 425,798 family members. As a resource for cancer genetic studies, the CGN has a large number of probands and first-degree relatives with and without cancer and with multiple ethnicities. Different study designs can be used including case-control, case-case, and family studies.ConclusionsThe unique resources of the CGN are available for studies on cancer genetic susceptibility, translational research, and behavioral research. The CGN is now at a point where approved collaborators may have access to enrolled patients and their families for special studies, as well as to the clinical, environmental and family cancer history data banked in the Informatics Center.

ObjectiveThe National Cancer Institute established the Cancer Genetics Network (CGN) to support collaborative investigations into the genetic basis of cancer susceptibility, explore mechanisms to integrate this new knowledge into medical practice, and identify ways of addressing the associated psychosocial, ethical, legal, and public health issues.Subjects and methodsThe CGN has developed the complex infrastructure required to support the projects, including the establishment of guidelines and policies, uniform methods, standard questionnaires to be used by all of the centers, and a standard format for submission of data to the Informatics Center. Cancer patients and their family members have been invited to enroll and be included in a pool of potential study participants. The Information Technology Group is responsible for support of the design, implementation, and maintenance of the multicenter Network-wide research protocols.ResultsAs of January 2004, the CGN contained data on 23,995 probands (participants) and 425,798 family members. As a resource for cancer genetic studies, the CGN has a large number of probands and first-degree relatives with and without cancer and with multiple ethnicities. Different study designs can be used including case-control, case-case, and family studies.ConclusionsThe unique resources of the CGN are available for studies on cancer genetic susceptibility, translational research, and behavioral research. The CGN is now at a point where approved collaborators may have access to enrolled patients and their families for special studies, as well as to the clinical, environmental and family cancer history data banked in the Informatics Center.

<i>Objective:</i> The National Cancer Institute established the Cancer Genetics Network (CGN) to support collaborative investigations into the genetic basis of cancer susceptibility, explore mechanisms to integrate this new knowledge into medical practice, and identify ways of addressing the associated psychosocial, ethical, legal, and public health issues. <i>Subjects and Methods:</i> The CGN has developed the complex infrastructure required to support the projects, including the establishment of guidelines and policies, uniform methods, standard questionnaires to be used by all of the centers, and a standard format for submission of data to the Informatics Center. Cancer patients and their family members have been invited to enroll and be included in a pool of potential study participants. The Information Technology Group is responsible for support of the design, implementation, and maintenance of the multicenter Network-wide research protocols. <i>Results:</i> As of January 2004, the CGN contained data on 23,995 probands (participants) and 425,798 family members. As a resource for cancer genetic studies, the CGN has a large number of probands and first-degree relatives with and without cancer and with multiple ethnicities. Different study designs can be used including case-control, case-case, and family studies. <i>Conclusions:</i> The unique resources of the CGN are available for studies on cancer genetic susceptibility, translational research, and behavioral research. The CGN is now at a point where approved collaborators may have access to enrolled patients and their families for special studies, as well as to the clinical, environmental and family cancer history data banked in the Informatics Center.