| Objective:Understand factors affecting detection situation of fatty liver among physical examination population in Guangxi to provide scientific basis for reasonable prevention of fatty liver.Method:1. Study objects:Research objects are 5631 physical examination personnel medical examination center of The First Affiliated hospital of Guangxi Medical University in 2014. They are organized by part of companies in Nanning, Guiping, Rong County for collective physical examination. Physical examination and epidemiological investigation are carried out for 5631 physical examination personnel.2. Data selectionContents of investigation includes:1. Epidemiological questionnaire: epidemiological questionnaire form with unified design is adopted, including basic information, dietary intake and dietary structure, dietary habit, work and exercise, smoking, drinking, mental and health status.2. Physical examination: including height, weight, blood pressure etc.3. Laboratory detection index: ’Including total cholesterol, triglycerides and glycosylated hemoglobin etc.4. B-ultrasonic examination and ECG examination:including liver, gallbladder, spleen, kidney and other abdominal examinations.3. Statistical methodContents of epidemiological questionnaire are input by EPIDATA software and the index of human body and all data of laboratory examination are put into Microsoft Office Excel 2003 Database for the statistical analysis of the data after the validation without error. We use (x±s) to describe measurement data with normal distribution. We conduct statistical reference base on statistical descriptive. We use independent simple t test to compare the means of ALT, AST, UA, TG, HDL, LDL and so on. Descriptive analysis includes the basic information of the research object, the detection rate of fatty liver in different gender and age. x test is used to analyze the detection rate of fatty liver. The multi-factor non-condition logistic regression model is used to analyze each index with fatty liver. and the correlation intension between each factor and the fatty liver in model is reflected by OR value. χ2 test, t test, single factor, multi-factor and non-condition logistic regression and other statistical analysis are all carried out in SPSS 16.0 software.Result:1. Basic state of study objects5631 people in total participate in this investigation. Among them, there are 2702 people from Nanning account for 47.98%,2240 people from Guiping and account for 39.98%,375 people from Rong County and account for 6.64%,315 people from Pingnan and account for 5.59.There are 2968 males and 2663 females, and the ratio of male to female is 1.11:1. The youngest is 20 years old and the oldest is 94 years old in these people. There are 1654 people in Group 20～35(29.4%),2090 people in Group,35-50(37.1%),1247 people in Group 50～65(22.1%),641 people in Group 65～(11.4%).2. Detection rate of fatty liver of study objectsThere are 1808 fatty liver patient and the detection rate of fatty liver in the people is 32.2%. The rates of fatty liver in Nanning, Guiping, Rong County and Pingnan are 26.27%,37.63%,22.32%,29.18%. Difference among 4 regions has statistical significances (χ2=145.1, P<0.001). The detection rates of fatty liver in male and female are 43.0% and 20.0% respectively, and the detection rate of fatty liver in male is significantly higher than that in female. Comparative age difference between fatty liver group and non-fatty liver group in different gender has statistical significances (χ32=339.0, P<0.001). The total detection rate rate of fatty liver is the highest in 50～65 years old group and it reaches up to 43.3%. Among them, the rate is the highest in 35～50 years old group in male and it reaches up to 49.8% and that is the highest in 50～60 years old group in female and it reaches up to 36.8%.3. Detection rate of fatty liver in different level of study factorThe detection rate of fatty liver in obesity group and overweight group are respectively 50.65% and 80.2% and they are higher than normal weight people (P<0.05). Detection rate of fatty liver in hypertension is higher than normal blood pressure is 52.31%(P<0.05). The detection rate rate of fatty liver is different in different intensity of work is respectively 32.4%,35.4%,26.4%, 29.0%(P<0.05). The detection rate of fatty liver in different sleep state are respectively 26.5%,30.5%,35.7%,34.3%(P<0.005). Detection rate of fatty liver in alcohol user is respectively 26.7%,33.7%,36.6%,41.0%(P<0.005). The detection rate of fatty liver in different smoking states are respectively 28.4%,35.4%,37.8%,41.3%(P<0.05). The detection rate of fatty liver in different intake state of meat are 31.4%,33.4%,37.4%(P<0.005). The detection rate of fatty liver in different intake state of fish are 21.5%,37.2%,29.4%, 34.4%(P<0.005). The detection rate of fatty liver in different intake state of salt are 29.9%,37.2%,40.0%(P<0.005). The detection rate of fatty liver in different intake state of bean product are 29.9%,37.2%,40.0%(P<0.005).The ALT, AST, UA, BUN, CR, TC, TG GLU, RBC, HGB, LDL, HbA1c in the fatty liver group are larger than those in the non-fatty liver group. The HDL in the fatty liver group is lower than that in the non-fatty liver group.4. Results of single-factor and non-condition logistic regression analysis Result shows:Fatty liver is associate with region, sex, age, overweight, obesity, hypertension, often drink, smoking, drink water, eat fish, high salty intake, bean product intake, sleepless, intensity of work, high triglyceride, high uric acid, hyperglycemia, high cholesterol and so on.5. Results of multi-factor and non-condition logistic regression analysisResult shows:Fatty liver is associate with age, overweight, obesity, high cholesterol, high triglyceride, AST, ALT.Conclusion:Detection rate of fatty liver in Guangxi is higher. There are differences among different region between sexes. The highest detection rate of fatty liver of male is in 35～50 years old group and the female is in 50-65. It is easy to get fatty liver for eating more food with high fat and high calorie. The detection rate of fatty liver in alcohol user is higher than that in non-alcohol user and sleep quality also has certain influence on fatty liver. The detection rate of fatty liver in the health examination group is higher in this investigation. The detection rate of fatty liver in male is higher than that in female. The pathogenesis of fatty liver may be related to BMI, TG, glycosylated hemoglobin, high-density lipoprotein, low-density lipoprotein and other related factors. Difference of detection rate rate of fatty liver between personnel in difference gender and age has statistical significances. Analysis obtained by single factor is that occurrence of fatty liver is closely related to obesity, hypertension, smoking, drinking, work intensity and mental health status and so on. Analysis obtained by multi-factor is that meat, milk and bean products and other related factors in dietary structure are the influence factors for fatty liver. In order to control the fatty liver, we should control the body weight positively and take more exercise and drink less, and form a good habit of daily work and rest. |
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