| ObjectiveTo describe the prevalence of diabetes in order to find the high-risk groups,and at the same time to explore the influencing factors of diabetes in the Jinchang cohort.To calculate the incidence of diabetes in the population according to follow-up data.To investigate the influencing factors of DM’s incidence and prevalence and to examine the differences,to correct for survivorship bias and to further validate the influence factors of diabetes.To provide a theoretical basis and data to support for diabetes prevention interventions.MethodsThis research adopts the baseline survey data and the crowd in the study of Jinchang queue follow-up data,calculate hypertension prevalence and incidence of a disease and its influencing factors.Data from June 2011 to 2014 in gansu province on July 7,the singularity of Jinchang group co.,LTD.,in order to attend a medical staff as the research object,the epidemiological investigation information collection(including general demographic characteristics,behavior habit and the history of occupational exposure,now the disease situation,family history of disease and female physiology fertility history)and the physiological and biological indexes(including height,weight,body mass index,blood pressure and blood biochemical indexes,etc.).According to the above two parts data,calculation of Jinchang queue,different indicators of hypertension prevalence and incidence in logistic regression are used to calculate and compare the prevalence and incidence of influencing factors.ResultsOf the 41,782 cases in the baseline data(25,791 males,15,991 females),males constituted 61.73%of the population,and females 38.27%,with a male to female ratio of 1.61:1.Of the 2620 cases of diabetes,1935 cases were male,and 685 cases were female.The overall prevalence rate was 6.27%;the prevalence among males was 7.50%and among females was 4.80%,with a significant difference between the sexes.Univariate logistic regression analysis identified age,occupation,education level,body mass index,abdominal obesity,blood pressure,total cholesterol,triglycerides,high-density lipoprotein,low-density lipoprotein,lifestyle,eating habits,trauma,mental depression,and family history as possible risk factors.Multivariate logistic regression analysis identified age,occupation(support staff),education level(elementary school),BMI(overweight and obesity),abdominal obesity,blood pressure(hypertension),total cholesterol(hypercholesterolemia),triglycerides(hypertriglyceridemia),high sugar intake,alcohol consumption,and family history,as risk factors.In further analyses,males and females had slightly different sets of influence factors.Of the 10,401 cases in the follow-up data(7018 males,3383 females),males constituted 67.47%of the population,and females 32.53%,with a male to female ratio was 2.07:1.There were 215 total cases of new-onset diabetes(192 males,23 females),and the overall incidence rate was 2.07%(2.74%among males,0.68%among females).Influence factors included age,education level,BMI,blood pressure,triglycerides,high-density lipoprotein,alcohol consumption,and family history.ConclusionThe Jinchang cohort has relatively higher prevalence of diabetes compared to other regions of China and globally,with higher prevalence among men than among women.High-risk populations include the elderly,people with low educational attainment,and support staff.The prevalence and incidence increase with age and decrease with increasing educational attainment.This study of the influence factors for diabetes in the Jinchang cohort suggest that people with overweight,obesity(including abdominal obesity),hypertension,high triglycerides,low high-density lipoprotein,hazardous drinking history,and family history of diabetes need immediate attention to control and prevent the onset of diabetes. |
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