Heilongjiang Province Agriculture Damage Epidemiological Studies

Objective: To understand the agricultural injury in Heilongjiang Reclamation, to explorethe factors affecting injury, and provide a scientific basis to prevent the occurrence of thecontrol of agricultural injury.Methods: a multi-stage cluster sampling method, randomly selected2from theReclamation Authority, Heilongjiang Province,9Administration, a randomly selected farms ineach Authority, cluster sampling from each farm,3operations stationsone-on-one questionnairesurvey. The statistical processing was used Epidata3.1to establish a database SAS9.1.3tocomplete the data analysis.Results: Agricultural injury incidence rate was45.87%, the type of blunt injury, scrapingabrasions; torsional strain-based,71.84%of the injured parts were the upper extremity.Univariate analysis of different genders, different family type, different types of temperament,for multi-family roles, different incomes, different marital status, age of marriage, differentworking hours of injury incidence of significant difference (P <0.05), injured in the crowd withuninjured people in the family stress score, there was significant difference (Wilcoxon rank-sumcheck statistic Z=6.7263, P <0.001), according to the centralized index and the concentrationcurve analysis showed that the injury occurred more distributed in relatively low income thecrowd. Multiple logistic regression analysis of gender, is sanguine, the length of working hours,whether the use of agricultural machinery, family stress score five variables into a regressionmodel, gender factors female protective factor ratio (95%confidence interval) OR=0.471(0.323,0.687), temperament types of factors, sanguine work time factor as a risk factor, OR=1.771(1.227,2.556), working long hours was a risk factor, OR=1.080(1.011,1.154), contactwith agricultural machinery risk factors, OR=1.883(1.109,3.196), family pressure large wasthe risk factor, OR=1.220(1.125,1.322).Agricultural machinery injury prevalence was14.31%.Agricultural machinery injury inorder to cuts, torsional strain, crush injury-based,45.96%of the population injured parts of theupper limb,33.54%for the lower limbs, the injured reasons49.69%was due the negligence.Univariate analysis between the different gender, different family type, different family roles inthe family held a number of roles, different levels of income, living together algebra, differentworking hours, age of marriage there were significant difference P <0.05, injured and not injured crowd was on the family stress score significant difference and Wilcoxon rank sumcheck statistic result was Z=3.4671, P=0.0005, according to the concentration index and theconcentration curves of the injury distribution in the low income population. The non-conditional multivariate logistic regression analysis of gender factors, and working time factor,whether it is the operator of the planter, the four variables included in the regression model ofthe family stress factors, gender factors women are protective factors, OR=0.552(0.311,0.981),working hours factors, long working hours, the risk factor, OR=1.115(1.014,1.227), planteroperation of mechanical injury risk is higher than the non-planter operator OR=1.881(1.081,3.276), family pressure risk factors OR=1.157(1.037,1.290)Conclusion: an agricultural injury incidence rate was45.87%higher in men than women;the top three of the types of injuries was blunt injury, scraping abrasions, torsional strain; injuredparts of the upper limb, followed by lower extremity;the main place of occurrence in the fields,followed by the home; gender factors affecting the injured, the busy working hours, access toagricultural machinery, personal temperament, family stress conditions; agricultural machinerydamage caused by the prevalence rate was14.31%caused by agriculture in men than women;the type of agricultural machinery injuries to the top three scratch abrasions, cuts, crush injuries;the main site of injury is upper extremity, followed by lower extremity; mainly due tonegligence, followed by fatigue;mechanical injury of the main mechanical tractors, sowingmachinery; factors affecting agricultural machinery injuries gender, working hours, operationseeder, family stress;3, the injury occurred in the overall economic level more than the crowd inthe low-income groups.