ABSTRACT
@#Objective Helicobacter pylori（ ）， To investigate the infection status of HP and analyze the correlation between HP Methods infection and serum bilirubin in railway drivers. A total of 2 731 railway drivers in Zhengzhou locomotive depot were - selected as study subjects using judgment sampling method. Carbon 13 urea breath test was used to evaluate the HP infection ， status. The metabolic indexes of HP positive group and HP negative group were compared and the relationship between HP Results （ ） ， infection and serum bilirubin was analyzed. The HP infection rate was 42.3% 1 156/2 731 . The older the age the ， （ ）， （ P ） longer the work years and the higher the body mass index BMI the higher the HP infection rate all <0.01 . The infection （P ） rate of HP in married people was higher than that in unmarried people <0.01 . The HP infection rate of smokers was higher - （P ） - ， than that of non smokers <0.01 . Compared with the HP negative group fasting blood glucose and serum levels of total ， （ - ）， （ ） - cholesterol low density lipoprotein cholesterol LDL C triglyceride and homocysteine Hcy were increased in the HP （ P ） （ - ）， ， positive group all <0.05 . The serum levels of high density lipoprotein cholesterol HDL C total bilirubin direct bilirubin （ ） - （ P ） DBIL and indirect bilirubin were lower than those in HP negative group all <0.05 . Logistic regression analysis showed that （ P ） HP infection was associated with low serum total bilirubin and low DBIL all <0.01 after adjusting for the confounding effects ， ， ， ， ， ， ， - ， - ， of age work years marital status smoking history fasting blood glucose total cholesterol triacylglycerol LDL C HDL C Conclusion ， ， ， and Hcy. The age work length BMI smoking and marital status are the influencing factors of HP infection in railway drivers. HP infection is associated with low levels of total bilirubin and DBIL.
ABSTRACT
Based on field inventory data and vegetation index EVI (enhanced vegetation index), the spatial pattern of the forest biomass in the Great Xing'an Mountains, Heilongjiang Province was quantitatively analyzed. Using the spatial analysis and statistics tools in ArcGIS software, the impacts of climatic zone, elevation, slope, aspect and vegetation type on the spatial pattern of forest biomass were explored. The results showed that the forest biomass in the Great Xing'an Mountains was 350 Tg and spatially aggregated with great increasing potentials. Forest biomass density in the cold temperate humid zone (64.02 t x hm(-2)) was higher than that in the temperate humid zone (60.26 t x hm(-2)). The biomass density of each vegetation type was in the order of mixed coniferous forest (65.13 t x hm(-2)) > spruce-fir forest (63.92 t x hm(-2)) > Pinus pumila-Larix gmelinii forest (63.79 t x hm(-2)) > Pinus sylvestris var. mongolica forest (61.97 t x hm(-2)) > Larix gmelinii forest (61.40 t x hm(-2)) > deciduous broadleaf forest (58.96 t x hm(-2)). With the increasing elevation and slope, the forest biomass density first decreased and then increased. The forest biomass density in the shady slopes was greater than that in the sunny slopes. The spatial pattern of forest biomass in the Great Xing' an Mountains exhibited a heterogeneous pattern due to the variation of climatic zone, vegetation type and topographical factor. This spatial heterogeneity needs to be accounted when evaluating forest biomass at regional scales.
