ABSTRACT
@#Objective - （ ） To analyze the current situation of work related musculoskeletal disorders WMSDs in neck and low ， Methods back of acupuncturists and to explore its influencing factors. A total of 272 acupuncturists from 21 hospitals above grade B level in Guangdong Province were selected as study subjects using convenient sampling method. The revised Chinese ， version of Musculoskeletal Disorders Questionnaire was used to investigate the prevalence of WMSDs in the past one year and Results the influencing factors of WMSDs in the high incidence areas such as neck and low back were analyzed. The annual （ ）， （ ） prevalence of WMSDs among acupuncturists was 94.9%. The prevalence of WMSDs in the neck 81.6% low back 81.6% （ ） ， and shoulder 63.2% was the highest and the prevalence of WMSDs in both the neck and low back was 73.5%. The prevalence - - （ vs ，P ） of multi site WMSDs was higher than that of single site WMSDs 86.0% 8.8% <0.01 . Multivariate logistic regression ， - ， ， analysis showed that acupuncturists who were female long time sitting work repeated operations within one minute and work （ P ） changing every day were common risk factors for neck or low back WMSDs or both neck and low back all <0.05 . Keeping the ， ， same posture for a long time driving to work and personnel shortage were risk factors for low back WMSDs in acupuncturists （ P ） （P ）Conclusion all <0.05 . Uncomfortable working posture was a risk factor for WMSDs in both neck and low back <0.05 . - ， - Acupuncturists are the high risk population of WMSDs and the neck and low back are the high risk sites of WMSDs. The influencing factors of WMSDs in acupuncturists include individual factors and occupational factors such as poor ergonomics and work organization.
ABSTRACT
Objective To establish a model for obtaining the reference values of left ventricular ejection fraction(LVEF) in Chinese healthy adult males by exploring the relationships of these reference values with heart rate and geographical environment factors. Methods LVEF and heart rate reference values (X) were collected from 3502 healthy adult males from 2006 to 2016. Correlation analysis and ridge regression were employed to extract dependent geographical environment factors and predict the LVEF reference values. The Kriging interpolation was applied to reveal the spatial distribution of the LVEF reference values. Results LVEF and heart rate (X) were significantly correlated with five geographical environment factors. LVEF was negatively correlated with heart rate (X),latitude (X),and annual range of temperature (X) and positively correlated with annual mean air temperature (X),annual mean relative humidity (X),and annual precipitation amount (X). The reference values of LVEF had a negative correlation with heart rate. The ridge regression equation of LVEF reference values and geographical environment factors was as follows:Y=68.464-0.0949X-0.0619X-0.00128X+0.00069X-0.0199X±3.329. The equation of LVEF reference values with heart rate and geographical environment factors was Y=75.923-0.1035X-0.0958X-0.0741X+0.00094X+0.00081X-0.0211X±3.288. Conclusion The LVEF reference values among Chinese healthy adult males decreased from south to north. They can be determined based on the regression models after the geographical factors of a certain region are obtained. The new model offers a geographic basis for the establishment of LVEF reference values.
