| Since early-1950s the development of oilfields has brought great economic benefit to our country. As the long-term strategy of scientific development of oilfields, sustainable development largely depends on the health of hundreds of thousands of employees. On the one hand, with the change of disease pattern and implementation of occupational disease-related regulations and laws, infectious diseases, chronic malnutrition and vocational diseases have been effectively controlled, leading to prolonged average lifespan. On the other hand, with the great change in lifestyle, accumulation and interaction of illness-related subtle effect, a new spectrum of disease characterized by high incidence of chronic disease was finally produced, which is also a common problem throughout global oilfields, being aggravated by the rapidity of population aging process in our country. Therefore, it's urgent and necessary to be in possession of the health status of oilfield employees, early warning system and the related control countermeasure.Objectives:To investigate the primary health problem of oilfield employees, explore the method of improving public health of Daqing oilfield workers, establish the back-propagation neural network model and Logistic regression forewarning model, look for hypertension-related and diabetes-related trace elements and study the interaction among them by detecting12kinds of elements (including magnesium, calcium, chromium, manganum, ferrum, copper, zinc, selenium, molybdanium, aluminium, vanadium and rubidium) in the whole blood by ICP-MS, accumulate original data of oilfield workers and provide scientific evidence for improving the health of oilfield workers.Methods:1The information on physical examination of2007-2009were randomly drawn, and Excel databases were established based on examination items. Chi-Square Test was made to analyse abnormal indexed using SPSS17.0.2According to the principle of stratified sample with cluster sample methods, four different groups-one company without occupational-disease-inductive factors and three departments exposed to various hazard factors such as drilling group, oil extraction plant, and natural group-were chosen as sampling unit. The staff and workers of subsidiary businesses were selected, all that were one-to-one interviewed by using questionnaire, and received physical checkup. The records of employee's health were established using Epi Data3.0and analysed by SPSS17.0based on employee's basic information, life style, illness history, and abnormal indexes.3Back-propagation neural network model and Logistic regression model were set up by Matlab7.0and SPSS17.0respectively. Combination of them were used to analyse the weight of independent factors. The least square method was used with the software of Matlab7.0, to analyse the regulation role of controllable factors in health promotion for patients and illness prevention for healthy population.4A case-control study was adopted, randomly selecting219cases of workers with hypertension,209cases of workers with diabetes without exposure to risk factors, according to the diagnostic criteria of hypertension and diabetes, respectively. Meanwhile,428workers were selected as control group,1:1matched by age and gender with the case group (exclude the cardiovascular system-related diseases, diabetes, acute infection and chemical toxicant exposure history).12kinds of elements in the whole blood of these workers were analysed by ICP-MS, and data were expressed by mean±standard deviation. T test or mann-whitney-wilcoxon test were used for the data which fits the normal distribution or not, respectively.Results:1The prevalence of chronic diseases ranked top five in the statistic based on the physical checkup information files from2007to2009, and employees with the high prevalence were distributed in drilling group and oil extraction plant. Furthermore, the positive rate of noise-induced hearing impairment was relatively higher, especially for drilling group at8%in2009, worthy of being paid enough attention.2For oilfield employees undergoing physical checkup, overweight (60.4%) ranked top of prevalence, followed by hyperlipidemia (58.4%), fatty liver (39.0%), hypertension (16.1%), heart disease (8.3%) and diabetes (5.0%). The primary forms of abnormal blood fat are mixed type and low-risk type. All abnormal indexes are characterized by the incidence higher rate of men than that of women. There is a trend of increased prevalence of all diseases with age, especially among people above50. 3There are some differences among the results of health investigation in four units but on the top three of prevalence are same-overweight,hyperlipidemia and fatty liver-which are69.9%,63.6%and48.0%respectively for drilling group. Positive rate of abnormal liver function is also higher (37.8%) in drilling group. The prevalence of hypertension and diabetes are19.8%and6.9%respectively in natural gas group. The positive rate of helicobacter pylori in oil extraction plant is the highest when compared with other plants.4The prevalence of people without inheritance and unhealthy lifestyles is lowest (29.3%), about38.6%of that with inheritance and unhealthy lifestyles,32.1%of that with unhealthy lifestyles alone, and34.7%of that with inheritance alone.5The lower risk factors of hypertension contain parental inheritance and lack of exercise; gender difference (male higher than female), sleep time less than5hours, abnormal changes of electrocardiogram, and patients with fatty liver come within the middle risk factors, and old age and high level of GGT are belong to the relative higher risk factors.The lower risk factors of diabetes patients are always with fatty liver, high level of CH, especially male. And the moderate risk factors always contain paternal inheritance, abnormal routine urine test, old age and high level of TG.Low risk factors of heart disease are always relevant to maternal inheritance; middle risk factors contain old age, paternal inheritance, sleep time less than5hours and abnormal changes of electrocardiogram.6Consistency rate of prediction of hypertension using BP neural network model and Logistic regression model was90.27%and84.65%respectively;88.29%and84.40%for diabetes;92.70%and91.6%for heart disease.7Getting enough sleep and good exercise are associated with the prevention of hypertension, diabetes and heart disease. There is an interference effect of smoking on the occurrence of diabetes and heart disease. Limitation to drinking is important to prevent heart disease, and the effect of sport on hypertension and diabetes is more greater than that on heart disease.8The blood aluminium levels among patients with hypertension were higher than that of control group (median:1.00ug/ml vs0.75ug/ml), but levels of calcium and magnesium were lower than that of control group (average:59.5ug/ml vs57.34ug/ml and40.22ug/ml vs43.77ug/ml, respectively). Meanwhile the results showed that the blood aluminium levels (median:2.68ug/ml vs0.69ug/ml) and copper levels (average:0.99ug/ml vs0.94ug/ml) among patients with diabetes were higher than that of control group, but vitriol levels (median:8.26ug/L vs17.03ug/L) and selenium levels (average:103.40ug/L vs111.56ug/L) were lower than that of control group; the Zn/Cu value of control group was significantly higher than that of the case group (6.32vs5.89). There were no significant differences between the case group and control group for other detected elements.9The result of elements cluster analysis in hypertension case group and control group showed no obvious interaction between aluminium, calcium and other elements when10was assigned as the boundary. The relative coefficient of zinc and rubidium was affected by the blood ferrum, chromium levels among patients with hypertension. Chromium and selenium may play a role in the development of hypertension together with copper and magnesium.There was no obvious interaction between aluminium, vitriol and other elements in diabetes case group and control group. The correlation between zinc and rubidium was changed into the correlation among selenium, magnesium and rubidium. Meanwhile, there was a marked reduction in correlation coefficient (0.61vs0.34) between selenium and chromium.Conclusions:1The results of retrospective study and Cross-section investigation suggest that there is a trend of steady prevalence of occupational disease and high incidence of chronic disease among oilfield employees in the investigation. The primary threat to health is lifestyle-related disease, including overweight, abnormal blood fat, fatty liver, hypertension, heart disease and diabetes ranked in descending order. As for The primary forms of abnormal blood lipids levels, mixed type and low-risk type reach to the majority. All abnormal indexes are characterized by the higher incidence anmog male employees than the female, and the trend of prevalence always increases with age.2As independent risk factors of lifestyle-related disease, both sex and age interact with life style. The healthy lifestyle was more important to patients who report a family history of hereditary. The synergistic effect between inheritance and the unhealthy lifestyle may be more harmful, leading to1.32-fold increased risk of illness.3Most of the diseases suffer from varying degrees of different unhealthy lifestyles. The change of some lifestyles plays different roles in the prevention and outcome of disease. It's more favorable to consolidated information system for health administration consisting of lifestyle, individual attribute (the societal attribute and the natural attribute) and routine indexes of physical checkup.4When applied in the prediction of hypertension, heart disease and diabetes, the accuracy of back-propagation neural network model is better than Logistic regression model. By using the combination of the two models, associated independent risk factors and the meaningful index weight on prediction can be obtained.5Getting enough sleep and good exercise are associated with the prevention of hypertension, diabetes and heart disease. There is an interference effect of smoking on the occurrence of diabetes and heart disease. Limitation to drinking is important to prevent heart disease, and the effect of sport on hypertension and diabetes is more greater than on heart disease.6Among patients with hypertension, the blood aluminium levels were higher, but calcium levels and magnesium levels were lower than that of control group. There was an interaction among magnesium, chromium, zinc, rubidium, ferrum during the process of the hypertension. Among patients with diabetes, the levels of aluminium and copper were higher, while vanadium and selenium levels were lower than that of control group. There was a change in the relations between zinc and rubidium, zinc and selenium, magnesium and rubidium, respectively. The correlation between selenium and chromium markedly decreased.Innovation:1Combined with the results of Logistic regression, independent factors were endowed with weight by the help of Bp neural network model, and were layered pre-warning was made after mimicking normal distribution.2The regulation extent of changeable behaviors in the disease prevention and control was expressed for arithmetic figure by using least square method. 3Twelve kinds of elements in the whole blood of oil workers were analysed by ICP-MS and the interaction among them were studied, providing both the fundamental data for the study on signal transduction pathway and key enzymes, and the foundation for the nutrition intervention on the chronic diseases.
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