| [BACKGROUND] Inflammatory bowel disease (IBD) mainly composed of ulcerative colitis( UC) and Crohn's disease(CD),which was generally considered very common diseases in Europe and America and Very rare diseases in Asia in particular. However, reports from Japan and Singapore showed a rapidly increasing trend of IBD. Crohn's disease is traditionally considered a rare disease in China. Recently, reports from many provinces and cites in mainland China have documented the emergence of Crohn's disease. However, litter data with regard to disease incidence, prevalence and temporal trends have been published in China. A 50-year literature searching from the Chinese database of Biology and Medicine(CBM,1979-2002) by computer and combined with year-by-year literature tracing back(1950-1979) was conducted. Totally,1526 cases of Crohn's disease since 1950 have been reported by more than 50 hospitals from 22 provinces and cites in mainland China, which composed of 888 male and 642 female patients with a 1.38:1 male predominance in prevalence. More than 70% of patients were from 20-50 years old with a mean age of 37.2±2。68(ranged from 1-83)years. The extrapolated disease incidence and prevalence rates are 0.28/100000(person-year) and 1.38/100000(persons), respectively. It make it clear that Chohn's disease is gradually increasing with the bettering of the lever of the living , the changing of the style of life. It shows CD is not a rare disease in mainland China and we will come upon more CD patients in clinic with the enhancement of economy and the lever of the technology of medicine and CD will gradually become a common disease in the field of digestion disease. Because the etiology of Crohn;s disease remains unknown and there are not effective therapy means, what's more, there are potentially severe complication such as intestine conges tion , gut perforation and gut dys-neoplasm, we should take it into account in according to the potential trend of the disease and the economic incubus and the decreasing of the quality of the living because of the disease. [OBJECTIVES] This study aimed to evaluate the potential relevant risk factors of Crohn's disease. These factors are principally made up of the factors related to family condition, the factors related to work circumstances, the factors related to disease history and mentality, the factors related to diets, the factors related to perinatal events and early infection, the factors related to smoking and wine-drinking , the factors related to teeth-cleaning and drug use. [METHODS] The study design project is a case-control (1:M=1:4), whose matched factors are age and sex.. the cases are based hospital and the control populations come from community. [STATISTICS] SPSS10.0 was applied to the whole statistics process. The related statistics methods were chi-square test,t test, conditional Logistic Regression and Cox Regression Model. [RESULTS] 1.General information All together, 205 subjects were enrolled in the study, among whom 41(male 19,female 22) were cases and 164 in the control one .the mean age is 33.62 years old in the control group,32.51 years old in the cases group. 2.the factors related to family condition and teeth-cleaning 10 relevant factors related to family condition were analysed . including residence location, marriage status, economic condition, domicile condition, bathroom in home, puppy , circumstance in the perimeter and drinking water , the frequency of teeth-cleaning and the dose of toothpaste. according to feature analysis in the two groups, the proportion of bathroom in home ,circumstance in the perimeter , the frequency of teeth-cleaning and the dose of toothpaste were statistically significant. There were statistically significant in domicile condition, bathroom in home, circumstance in the perimeter , the frequency of teeth-cleaning and the dose of toothpaste through Single factor Logistic Regression analysis . there were the same conclusion through multiple factors Logistic Regressionanalysis. The OR and 95%CI is domicile condition(0.588, 0.264-1.312), bathroom in home(0.587,0.291-1.185), circumstance in the perimete(r160.506, 0.175-147470.91), the frequency of teeth-cleaning(2.098,0.838-4.760) and the dose of toothpaste (1.630,0.765-3.738), respectively. 3. the factors related to work circumstances 5 relevant factors related to work circumstances were analysed . including the degree of education, working type, labour intensity, work posture, working sports. according to feature analysis in the two groups, the proportion of the degree of education, the proportion of the proportion of and the proportion of working sports were statistically significant. There were statistically significant in the degree of education, work posture, working spots through Single factor Logistic Regression analysis and multiple factors Logistic Regression analysis. The OR and 95%CI is the degree of education (0.482, 0.266-0.874), working sports(1.866, 0.887-4.797), work posture(0.400, 0.187-0.991),respectively. 4. the factors related to disease history , mentality and drugs 10 relevant factors related to disease history and mentality were analysed . including node , diabetes, cardiac disease, arthritis, high blood press, skin disease , depression , NSAIDS and oral contraceptives or the superseding. according to feature analysis in the two groups, the proportions of cardiac disease, arthritis , high blood press ,and skin disease and depression were statistically significanct. There were statistically significanct in arthritis , high blood press ,and skin disease and depression through Single factor Logistic Regression analysis . there are statistically significanct in diabetes, high blood press , skin disease and depression through multiple factors Logistic Regression analysis. The OR and 95%CI is diabetes(27.513, 0.435-1741.849), high blood press (3.053, 0.781-11.939), skin disease (16.688, 2.580-107.945)and depression(2.670, 1.216-5.863),respectively. 5. the factors related to diets 12 relevant factors related to diets were analysed . including milk, fish, bean, egg , poultry ,fruits, fruit peeling, vegetable, preserved foods, editable oil, sweet foods, iced drinking and tea. according to feature analysis in the twogroups, the proportions of fish, bean, poultry , fruit peeling, editable oil, sweet foods and tea were statistically significanct. There were statistically significanct fish, bean, poultry , selad oil, sweet foods and tea through Single factor Logistic Regression analysis . there are statistically significanct in fish, bean, poultry , selad oil, sweet foods , fruits, fruit peeling and tea through multiple factors Logistic Regression analysis. The OR and 95%CI is fish(OR:0.536,95% 0.252-1.141), bean(3.053, 0.781-11.939), poultry(1.693, 0.785-3.651) , selad oil(0.607, 0.288-1.279), sweet foods(2.292, 1.063-4.959) , fruits(0.249, 0.048-1.292), fruit peeling (0.570, 0.258-1.260)and tea(0.453, 0.181-1.136),respectively. 6. the factors related to perinatal events and early infection 7 relevant factors related to perinatal events and early infection were analysed . including breast feeding, infection during pregnance, infectious diarrhea ,upper breathing access infection, measles, rubella, mumps . according to feature analysis in the two groups, the proportions of infectious diarrhea and mumps were statistically significant. There were statistically significant in infectious diarrhea ,upper breathing access infection, measles, mumps through Single factor Cox Regression analysis and multiple factors Cox Regression analysis. The OR and 95%CI is infectious diarrhea(4.428, 1.918-10.223) ,upper breathing access infection(10.078,3.084-32.941), measle(s2.256,0.609-7.898), mumps(2.630,1.189-5.995), respectively. 7.the factors related to smoking and wine-drinking 5 relevant factors related to smoking and wine-drinking were analysed . including smoking(current), smoking(previous), smoking years, exposing to the smokers, wine-drinking. according to feature analysis in the two groups, the proportions of smoking(current), smoking(previous) and beer-drinking were statistically significant. There were statistically significant in through Single factor Cox Regression analysis and multiple factors Cox Regression analysis. The OR and 95%CI is smoking(current) (0.134,0.040-0.415), smoking(previous) (17.456,3.676-82.889) and beer-drinking (0.634,0.288-1.399), respectively.[CONCLUSIONS] Throughout the study, we strictly followed up the requirement of experimentation design , arranged and analysed the data adopting validity statistic method and attained some unanimous and contrary conclusions with previous datas, what's more , we carried out new exploring and laid out good basis for further study.
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