| Objective1. To estimate the proportion of patients likely to be alcohol dependent (defined by an AUDIT score of13or more for women, and15or more for men) among the study population (defined by an AUDIT score of7or more) in outpatients and inpatients wards of Gastroenterology in a period of time.2. To characterize the study population (defined by an AUDIT score of7or more) in terms of socio-demographic characteristics, drinking and psychological situation.3. To describe the quality of life using SF-36and psychological situation using BDI for the study population of patients.4. To understand the Differences of the socio-demographic characteristics, psychological conditions and the quality of life between the study population who’s AUDIT score ranges from7point to13or15point and patients likely to be alcohol dependent (AUDIT score of13or more for female and AUDIT score of15or more for male).5. To understand the normal factors and risk factors of the level of alcohol use disorders.MethodThis is a non-interventional, Digestive Department of The Second Xiangya hospital-based study in populations who are seeking medical care at hospitals with respect to medical illness, regardless related to alcohol drinking or not. The study will specifically not only screen and collect the information regarding drinking frequency, patterns and drinking behavior by using AUDIT, but also collect the scores of the Quality of Life by using SF-36. What’s more, we use BDI to assess the psychological situation of the study population. We divide the patients into two groups which include the risk drinking patients (defined by an AUDIT score between7and13for women; between7and15for men) and the patients likely having alcohol dependent (defined by an AUDIT score of13or more for women, and15or more for men). It’s necessary to compare the information of demographic data, Quality of Life and psychological situation between two groups by using statistical methods. It will be a one-time interview at study site and the clinical information will be collected through a number of questionnaires and scales. Then after finishing the database, we will conduct statistical analysis by SPSS.Result1. The proportion of the patients likely having alcohol use disorder (defined by an AUDIT score of13or more for women, and15or more for men) in the outpatients of Digestive Department of The Second Xiangya hospital is5.95%which is higher than the national prevalence, and3.58%in the inpatients wards which is lower than the national prevalence. The risk drinking proportion in outpatients is3.81%, and the inpatients’is0.78%.2. The patients are enrolled in this study (n=149). There are47%,26.2%and15.4%of the patients in favor of white wine, beer and rice wine respectively. The risk drinking patients (defined by an AUDIT score between7and13for women; between7and15for men) include50%people drinking beer,25%people drinking white wine and14.5%people drinking rice wine. Otherwise, the patients with alcohol dependence (defined by an AUDIT score of13or more for women, and15or more for men) include57.4%people drinking white wine,15.8%people drinking beer. Therefore, it’s very obvious that it has different drinking pattern between two groups.3. The number of average weekly alcohol consumption of all cases (n=149) is8.31±6.19times/week, and it can be up to30times; The amount of average drinking alcohol per times is mainly between3-5standard cup; The day of drinking alcohol per four weeks are mainly10days and28days. According to these datas, it suggests that the study population can be divided into two groups, and it has each distinct characteristic in the degree of drinking, drinking frequency and degree of alcohol dependence between the two groups.4. The high AUDIT score group is significantly higher than the low group in the drinking frequency of every week (x2=34.89, p<0.05), the drinking days per four weeks (x=38.77, p<0.05) and the average standard cup per time (x2=10.84, p=0.001<0.05).5. Different ages, income level and the patient source have a significant impact on the drinking type of the study population (AUDIT score≥7points). While the marital status, employment status and education levels have no significant impact on drinking type.6. The scale distribution of Beck Depression rating in different level groups is statistically significant (x2=27.754, p<0.05). And the level of Beck Depression and the level of AUDIT score have a linear trend (x2=23.726, p<0.05), suggesting that it’s probably when ADUIT score increasing accompany depression rating increasing (Mann-Whitney U=1072, p<0.05).7. In the serious degree of alcohol using group, the damage caused by drinking likely focuses on physical function and Role-physical. On the basis of physical disease, it possible has a further development that affecting their vitality, social function and emotional functions.8. To analysis single factor of AUDIT score level, we found that the impact of gender, marital status, employment status were not statistically significant, while the impact of age, education levels and income levels were not statistically significant.The result of Multivariate Logistic regression analysis of AUDIT score level is:the increasing risk of alcohol use disorders accompanies by the age increasing, and45-59years old is the peak period. After that, with increasing age, the prevalence of alcohol use disorders did not change significantly; medium education level is a risk factor for alcohol use; low and high income levels are the risk factors of alcohol use. However, the gender, marital status, work status and patient sources are no statistically significant in the regression model.Conclusion1. It’s probably that alcohol use disorder increasing accompany with depression risk increasing.2. The damage caused by drinking likely focuses on physical function and Role-physical. On the basis of physical disease, it possible has a further development that affecting their vitality, social function and emotional functions.3. Among patiens in gastroenterology department, middle and old age, middle education, low or high income with high concentration alcohol intake are risk factors for alcohol use disorder, and should be referenced for early intervention. |
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