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A Research Between The Morbidity Of Metabolic Syndrome And Related Factors Of Medical Personnel

Posted on:2013-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:R ZhangFull Text:PDF
GTID:2234330374987102Subject:Public Health
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Background and purpose:With the improvement of living standards and the change of lifestyle, the morbidity of metabolic syndrome is in a rising trend in our country, which we have to pay much more attention to its prevention and treatment. At present, the study on related factors of the metabolic syndrome is still in its initial stage, and there exists no such report of medical personnel in domestic. In order to guide people to choose the normal way of life and prevent metabolic syndrome, our study tries to explore the related factors of metabolic syndrome of the on-job medical personnel who are over40years old in the hospital, by means of analysing outpatient case history and different kinds of questionnaires.Methods:1. Object:All the medical staff who were born before December31,1968,480people in total, Men of225(46.8%), Women in255(53.2%).2. Collecting physical examination results and outpatient medical records the last three years, diagnosing persons with metabolic syndrome (MS) according to MS diagnosis standard recommended by the2004diabetes branch of the Chinese Medical Association (CDS).3. Collecting the data of lifestyle, dietary habit, knowledge, health service, life pressure and psychological stress of the objects through lifestyle questionnaire, Life events scale, Rating Anxiety Scale and Rating Depression Scale. 4. Exploring the related factors of metabolic syndrome according to the collecting data and questionnaires.5. Using SPSS13.0statistical software to process data. Measurement data were represented byx±s, Count data were showed by positive number and Composition ratio.χ2inspection was used to compare composition ratio and t test was used in measurement data, the logistic regression analysis was used for independent risk factors of MS.Results:1.66cases were diagnosed with metabolic syndrome, the incidence was13.75%, men accounted for17.78%, women accounted for10.20%, the morbidity was9.03%,17.48%and24.72%among those whose age were over40,50and60years old respectively.2. The proportion of blood lipid disorders, overweight/obese, fasting glucose levels/diabetes and high blood pressure accounted for48.75%,24.38%,18.13%and13.96%respectively.3. According to the gender group, the morbidity of men was higher than that of women in those following metabolic abnormalities:blood lipid disorders (χ2=5.934, P<0.05), elevated fasting glucose or diabetes (χ2=7.095, P<0.05), hypertension (χ2=7.818, P<0.05), and metabolic syndrome (χ2=5.794, P<0.05).4. According to the age group, from40to49years old, blood lipid disorders accounted for44.79%, overweight/obese accounted for24.31%, the fasting plasma glucose elevation/diabetes accounted for13.19%, high blood pressure accounted for9.03%, metabolic syndrome accounted for9.03%. From50to59years old, blood lipid disorders accounted for58.25%, overweight/obese accounted for28.16%, the fasting plasma glucose elevation/diabetes accounted for26.21%, metabolic syndrome accounted for17.48%, high blood pressure accounted for11.65%. Over 60years old, blood lipid disorders accounted for50.56%, high blood pressure accounted for32.58%, the fasting plasma glucose elevation/diabetes accounted for24.72%, metabolic syndrome accounted for24.72%, overweight/obese accounted for20.22%.(χ2=5.971, P<0.05), dyslipidemia (χ2=8.477, P<0.05)and metabolic syndrome (χ2=4.901, P<0.05) in male was significantly higher than that in female. From50to59years old, hypertension in male was higher than that in female(χ2=4.429, P<0.05).The morbidity of overweight/obese (χ2=0.224, P>0.05) and blood lipid disorders (χ2=2.296, P>0.05) had no significant difference among each age group, the morbidity of the fasting plasma glucose elevation/diabetes (χ2=9.197, P<0.05), hypertension (χ2=26.725, P<0.05) and metabolic syndrome (χ2=15.595, P<0.05) had significant difference among each age group.5. The results indicated that the morbidity of metabolic syndrome had significant difference with the growth of male and female’s age (male: χ2=4.203, P<0.05, female:χ2=11.68, P<0.05). However, the following three kinds of metabolic syndrome had significant difference with the growth of female’s age:the fasting plasma glucose elevation/diabetes (χ2=4.460, P<0.05), hypertension (χ2=0.002, P<0.05) and blood lipid disorders (χ2=5.989, P<0.05). The morbidity of other kinds of metabolic syndrome had no significant difference with the growth of male and female’s age.6. The propotion of people who had no abnormal index related to metabolic syndrome accounted for34.17%. The propotion of people who had one, two, three or four types of metabolic disorders accounted for41.88%,10.21%,12.08%and1.67%respectively. Blood lipid disorders existed in most of the patient who just had one type of metabolic disorders, The morbidity had no significant difference between male and female(χ2=0.994, P>0.05). Overweight/obese together with blood lipid disorders existed in most of the patient who had two types of metabolic disorders, the morbidity had significant difference between male and female(χ2=10.967, P<0.05). Overweight/obese together with blood lipid disorders and the fasting plasma glucose elevation/diabetes existed in most of the patient who had three types of metabolic disorders, The morbidity had significant difference between male and female(χ2=7.145, P<0.05). All the three age groups mainly had just one type of metabolic disorder, the proportion accounted for40.63%、43.96%、43.82%respectively.7. According to t test, the anxiety score in MS group (48.33±6.641) was higher than that in the non-MS group (45.53±7.785), there existed significant difference (t=2.767, P<0.05). The depression score in MS group (56.31±7.828) was also higher than that in the non-MS group (48.10±7.155), there existed significant difference (t=7.998, P<0.05).8. The proportion of negative life events score over20accounted for68.37%, the ranking was as follows:working-time more than50hours per week> on duty> high pressure in working and studying> children away from home for a long time> promotion> medical tangle> garnishment of bonus or a fine, there had no statistical significance between MS group and non-MS group (χ2=0.426, P>0.05).9. After the Logistic regression model analysis, the metabolic syndrome associated independent risk factors were as follows:smoking (OR=7.440,95%CI:1.732-3.194), drinking alcohol (OR=3.734,95%CI:2.764-6.423), the past1week days in aerobic exercise (OR=0.055,95%CI:0.014-0.219), frequency of watching television per week (OR=1.867,95%CI:1.128-3.091), frequency of surfing online per week (OR=1.946,95%CI:1.052-3.600), frequency of eating vegetables per week (OR=0.248,95%CI:0.153-0.400), frequency of eating fruit per week (OR=0.597,95%CI:0.434-0.821), depression score (OR=1.233,95%CI:1.113-1.366), age (OR=1.458,95%CI:1.253-1.865)Conclusions:1. After studying the on-job medical personnel who are over40years old in a hospital, the morbidity of metabolic syndrome was13.75%, male accounted for17.78%and female accounted for10.20%, the morbidity was9.03%at the age of40-49,17.48%at the age of50-59and24.72%at the age over60. The morbidity of metabolic syndrome increased along with the growth of the age.2. The most common metabolic abnormalities was blood lipid disorder accounting for48.75%, the second was overweight/obese accounting for24.38%, and the third kind was fasting blood sugar/diabetes accounting for18.13%, the fourth was hypertension accounting for13.96%.3. Blood lipid disorders existed in most of the patient who just had one type of metabolic disorders, the morbidity was41.88%. Overweight/obese together with blood lipid disorders existed in most of the patient who had two types of metabolic disorders, the morbidity was10.21%. Overweight/obese together with blood lipid disorders and the fasting plasma glucose elevation/diabetes existed in most of the patient who had three types of metabolic disorders, the morbidity was12.08%. The morbidity of the patient who had four types of metabolic disorders was1.67%.4. According to different gender, different types of disorders were as follows:the fasting plasma glucose elevation/diabetes, hypertension, blood lipid disorders and metabolic abnormalities. According to different age, different types of disorders were as follows:the fasting plasma glucose elevation/diabetes, hypertension and metabolic abnormalities. According to both different gender and age, the morbidity of metabolic syndrome increased along with the growth of the age, the morbidity of the fasting plasma glucose elevation/diabetes, hypertension and blood lipid disorders increased along with the growth of the female’s age.5. Compared to people who had no metabolic syndrome, people who had metabolic syndrome had a higher proportion of anxiety or depression, and a lower mental health level.6. Univariate and multivariate analysis showed that,smoking, drinking alcohol, frequency of watching television per week, frequency of surfing online per week, depression score and age were risk factors of metabolic syndrome, and the past1week days in aerobic exercise, frequency of eating vegetables per week, frequency of eating fruit per week were protective factors of metabolic syndrome.
Keywords/Search Tags:metabolic syndrome, metabolic disorders, influencefactor, anxiety, depression
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