ABSTRACT
Objective To provide a scientific basis for logistic health support by analyzing the relationship between altitudes and rate of staff depletion due to acute mountain sickness (AMS). Methods Rate of staff depletion due to AMS at different altitudes was obtained from relevant literature, and statistical methods including descriptive statistics, curve estimation etc. were applied to analyze the relationship between the altitude and rate of AMS-associated staff depletion. Results The AMS-associated staff depletion was positively correlated with the altitude (Pearson correlation r=0.868, P<0.01). The curve fitting equation of AMS-associated staff depletion rate (P) and the square of the altitude (h) in the range of 3500-5270m altitude was: P=64.542-0.034h+4.90×10-6h2, and the goodness-of-fit test showed a very good curve fit (coefficient of determination R2=0.835, F=35.492, P<0.01). There was a remarkable difference in rate of AMS-associated staff depletion between 3000-4000m and 4000m or higher (t=-3.097, P<0.05), with a mean of 5.74%±3.70%, and 95%CI of 2.64%-8.83% and a mean of 17.53%±10.16% and 95%CI of 9.72%-25.34% respectively. Conclusion AMS-associated staff depletion rate is positively correlated with the altitude. The results of this study provide a scientific basis for predicting AMS-associated staff depletion.
ABSTRACT
Objective To provide a scientific basis for logistic health support by analyzing the relationship between altitudes and rate of staff depletion due to acute mountain sickness (AMS). Methods Rate of staff depletion due to AMS at different altitudes was obtained from relevant literature, and statistical methods including descriptive statistics, curve estimation etc. were applied to analyze the relationship between the altitude and rate of AMS-associated staff depletion. Results The AMS-associated staff depletion was positively correlated with the altitude (Pearson correlation r=0.868, P<0.01). The curve fitting equation of AMS-associated staff depletion rate (P) and the square of the altitude (h) in the range of 3500-5270m altitude was: P=64.542-0.034h+4.90×10-6h2, and the goodness-of-fit test showed a very good curve fit (coefficient of determination R2=0.835, F=35.492, P<0.01). There was a remarkable difference in rate of AMS-associated staff depletion between 3000-4000m and 4000m or higher (t=-3.097, P<0.05), with a mean of 5.74%±3.70%, and 95%CI of 2.64%-8.83% and a mean of 17.53%±10.16% and 95%CI of 9.72%-25.34% respectively. Conclusion AMS-associated staff depletion rate is positively correlated with the altitude. The results of this study provide a scientific basis for predicting AMS-associated staff depletion.
ABSTRACT
@#ObjectiveTo investigate the mental health of freshmen of university.MethodsSymptom Checklist 90 (SCL-90) was used to self evaluate 7763 freshmen of university in Ningbo.Results and ConclusionThe overall level of the mental health of this group was higher than that of the Chinese module, and the prevalence of psychological symptoms was 13.2%. The average level of mental health of female were inferior to male. The difference between the students from cities or towns and from the countryside were distinct. Students who were satisfied with their majority get noticeably higher average score than the ones who were not satisfied.
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@#ObjectiveTo survey the social support to students in university.Methods400 college students of grade 2004 from 4 different colleges in Ningbo were tested with the Social Support Rating Scale(SSRS).Results and ConclusionThere were no significant differences among students from Ningbo and students from the other regions.Students from different level colleges had different scores in utilization of support,students from the third level college had the highest scores while students from the forth level had the lowest scores.College students from countries scored higher than students from cities in subjective support,but there were no significant differences in objective support and the utilization of support.Female students had higher scores in subjective support and utilization of support than males while had no significant differences in objective support.Students with different majors had no significant differences in objective support and utilization of support,while concerning subjective support,students from management departments had the highest scores,students from arts departments had the lowest scores.In case of emergency,college students mainly received economic support and mental support from their families,friends and classmates while received less support from various organizations both of colleges and society.
ABSTRACT
@#ObjectiveTo investigate the relationship between family cohesion, family adaptability and perceived social support.Methods400 college students of grade 2004 from 4 different colleges of Ningbo were tested with the FACESⅡ-CV and perceived social support scale. Results and ConclusionFamily cohesion and adaptability significantly positively correlated with perceived family support and social support. There was no significant correlation between perceived family support and dissatisfaction with family cohesion, while perceived family support significantly negatively correlated with family adaptability. In family adaptability, dissatisfaction with family cohesion and family adaptability, there were significant differences among students from different level colleges. In perceived family support, there were no significant differences among students from different college. In family cohesion, female students scored higher than male, but showed no significant differences in family adaptability. In perceived family support and social support, female students had higher scores than male were. In family cohesion and perceived family support, fathers' education background but not mothers' had significant main effect. In family cohesion, family adaptability and perceived family and social support, there were no significant differences between students from cities or countries.