Reasons for the observed difference of findings between different research results might be due to the difference in the level of awareness between the different population, economic difference of the study population and time difference of the studies.
The extent of this advantage differed between the different population structures simulated.
This wide range of figures probably reflects the different population studied, differences in the diagnostic thresholds or under-recognition of the condition.
The reason for this is unclear; it could be a consequence of moderate sample size (power) or it could reflect differences in disease pathogenesis between the different population groups.
Additionally, little is known about epidemiologic factors responsible for the differences in the number of infections among the different population groups.
Substantial differences in food consumption exist between the different population groups (sex, age and socio-economic).
Therefore, the observed differences in DEFA3 absence may partially explain the different population incidences of infectious and/or autoimmune diseases in which DEFA3 plays an important role.
The different population groups used across different studies could also account for this difference, as seen in the present study.
The different population groups are ghettoised; wealth gaps yawn.
At the same time, progress was made in determining the abundances of stars of the different population types by means of high-dispersion spectra obtained with large reflecting telescopes having a coudé focus arrangement.
The means and percentages were calculated for the different population groups.
