Sentence examples for our population differences from inspiring English sources

In our population, differences between the study groups in experiences of sexual violence and depression indicates that psychosocial experiences may affect the timing and number of visits to child health centres.

Whilst no evidence of socio-economic inequalities in stage at presentation, treatment or survival for DLBCL was found in our UK population, differences have been reported from elsewhere; most notably from the USA where pronounced survival disparities associated with insurance status have been described for many cancers, including DLBCL [19], [40], [41].

It must be stated however, that Petkus is the only representative for the Middle European rye populations in our study and thus our conclusions on population differences must be limited to the Petkus population.

In comparison to an age-matched general Dutch population, Health related Quality of Life (HrQoL) on the EQ-us was not significantly worse in our study population (difference 0.02).

Knowledge gained from these two complementary analyses has improved our understanding of population differences in aflatoxin resistance.

Particular variants conferring a selective advantage would be consistent with reported associations with longevity and survival (25, 27, 29), and our findings of population differences in MAF.

Knowledge gained from these two complementary analyses has improved our understanding of population differences in aflatoxin resistance and, following additional verification, will provide markers for host plant improvement by introgression.

By focusing on new insights on the global pattern of human genetic variation (HGV), made possible by the successful completion of the International HapMap Project [ 4] and ongoing sequencing efforts of individual genomes, this article will provide important illustrations of how genomics may inform our understanding of population differences in disease distribution and variable drug response.

This study conveys the experience of a single institution and may have limited generalizability because of the social and cultural characteristics of our population and differences in health care delivery in our country.

The formula has not been validated in our population and differences in general characteristics of our subjects to those originally used to MDRD formula could influence the accuracy of our classifications.

Furthermore gender was not accounted for in the equation we used whereas in our population significant differences were found between boys and girls for FM as well as all SFs.