Investigation On The Relevance Between Senior Professors’ Lifestyle And Serum Lipids Levels, Dyslipidemia In The North University Of China

Objective: Through a series of surveys to the current situation of senior professors’serumlipids level and dyslipidemia prevalence rate working in the North University of China, thispaper aims to investigate the relation between the unhealthy lifestyle and serum lipids level.Particular attention was paid to analyzing the impact of unhealthy lifestyles on dyslipidemiaprevalence rate. A systematic health interventions strategy and several preventive health careproposals to reduce and control diseases caused by dyslipidemia will be proposed there after,in order to improve the general level of the health in the professor population.Methods:Accroding to searching related literatures, acquiring a comprehensiveunderstanding of the status of epidemiological studies on lipids,the results of serving andretired senior professors of the North University of China tested in 2005-2010 annual physicalexamination in the second affiliated hospital of Shanxi Medical University (total 227, agesrange 40 to 79) were selected . Using the lifestyle theoretical model to determine theevaluation structural dimensions of the relation between lipids levels and lifestyle,and toprepare the questionnaire for this study (studies compare impacts on plasma lipids levels ofthe factors like gender, age, smoking, exercise, nutrition etc.) to statistically analyseinvestigation-involved people’s four indicators like plasma total cholesterol (TC),triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoproteincholesterol (LDL-C).Results：1. The age, gender distribution and serum lipids of study subjects: the TC, TG, LDL-Cvalue differences from all ages were statistically significant (P <0.05), at the age of 40 to 69,with the increasing of age, TC, TG and LDL-C values increased significantly. TC, LDL-Cindex in dyslipidemia detection rate of all ages was statistically significant (P <0.05), andincreased, dyslipidemia detection rate increased continuously with age increasing. TG andHDL-C value differences between different gender were statistically significant (P <0.05), TGvalues of male was distinctively higher than female, HDL-C values was lower than female. TC, LDL-C index in dyslipidemia detection rate was statistically significant(P <0.05) betweengender, male did higher than female in both the edge of the elevated rate and detection rate ofabnormal.2. Body mass index (BMI) and serum lipids of study subjects: TG, HDL-C valuedifferences were statistically significant among different BMI (P <0.05), TG value increasewith the increasing of BMI, and HDL-C decrease, but HDL-C value of obese group rebound.Dyslipidemia detected differences in TG, HDL-C values among different BMI werestatistically significant (P <0.05), dyslipidemia detection rate increased with the increasing ofBMI index, and maximizing overweight group.3. Smoking condition and serum lipids of study subjects: TG and HDL-C value betweensmokers and non-smokers are statistically significant (P <0.05), and TG values of smokerswere impressively higher than non-smokers, HDL-C values lower. Dyslipidemia detecteddifferences in TG, HDL-C values among smokers and non-smokers were also statisticallysignificant (P <0.05), and dyslipidemia detection rate of smokers was much higher thannon-smokers. As to different smoking amount, only the TC value differences was statisticallysignificant (P <0.05), TC value increased with the rising of smoking amount, , and male aremuch higher than female in dyslipidemia detection rate. Regarding the years of smoking, onlyHDL-C difference was statistically significant (P <0.05), and, HDL-C values showed a cleardownward trend with the growing years of smoking, but dyslipidemia detection rate upward.In addition, the highest dyslipidemia detection rate of smokers who smock exceeded 10 yearswas about 70%.4. Physical exercises and serum lipids of study subjects: most survey study subjectsexercise 1 to 2 times per week and each time 30 to 60 minutes, but in the view of exerciseyears, exercise time of less than 5 years shows a downward trend, while the group of morethan 5 years upward again. Only HDL-C difference was statistically significant betweenexercisers and non-exercisers (P <0.05), and HDL-C values of exercisers were higher thannon-exercisers. Dyslipidemia detected differences in HDL-C values among exercisers andnon-exercisers were also statistically significant (P <0.05), the dyslipidemia detection rate ofnon-exercisers were 1.5 times higher than none. All indexes of serum lipids and dyslipidemiadetection rate under each index were both not statistically significant (P> 0.05), we stillcannot verify different times affect the level of serum lipids. As to different exercise years,only TC value was statistically significant (P <0.05).among the study subjects, mean of 6 to 12 months group was maximum, less than 5 years group minimum. Regarding differentexercise years, only TC value in dyslipidemia detection difference was statistically significant(P <0.05), the edge of the elevated rate of 6 to 12 month group were found more than 50%.About different exercise intensity, only HDL-C value difference was statistically significant (P<0.05), HDL-C value of moderate-intensity was the highest comparing to the low-intensitygroup and the high-intensity group. About different exercise intensity, HDL-C value indyslipidemia detection difference was statistically significant (P <0.05), and dyslipidemiadetection rate of moderate-intensity was the lowest comparing to the low-intensity group andthe high-intensity group.5. Dietary habits and serum lipids of study subjects: Only HDL-C difference amongdifferent breakfast habits was statistically significant (P <0.05). Statistics found that, HDL-Cmean of who eat breakfast every day were minimum, but dyslipidemia detection rate weremaximum, that was inconsistent with the expected results and worth take into considering. Allindexes of serum lipids and dyslipidemia detection rate under each index were both notstatistically significant (P> 0.05), we still cannot verify the different diet, water intake canaffect serum lipids level of study subjects. LDL-C value of different frequency in taking beanand bean products was statistically significant (P <0.05), LDL-C value of non-taking groupwere the highest, LDL-C values decrease with taking frequency increasing. TC, HDL-Cvalues of different frequency in taking animal offal were all statistically significant (P <0.05),TC, HDL-C values all increase with the rising frequency of taking. As to different frequencyin taking seafood and black food, dyslipidemia detection difference in TC value wasstatistically significant (P <0.05).6. Prevalence of dyslipidemia-related diseases population: hypertension, hyperlipidemia,coronary heart disease are abnormal serum lipids risk factors (OR => 1), indicating thepossibility of dyslipidemia population suffering from cardiovascular disease is higher thannormal lipids groups.Conclusion: The subject survey analysis found, different age, gender, body weight index,lipids distribution of survey objects, dyslipidemia detection rates are also different. Smoking,physical exercise status, different eating habits and dietary pattern, have impacts on lipidslevels and lipids abnormal detection rate as well.1. Age, gender and body weight index are important factors affecting serum lipids levels,with the increase in age and body weight index, lipids levels and dyslipidemia detection rate of an upward trend, male serum lipids levels and dyslipidemia detection rate is higher thanwomen; overweight and obesity are risk factors of high cholesterol, so increasing physicalactivity, weight control are effective measures for prevention and control of dyslipidemia.2. Smoking is the factor affecting serum lipids levels, smokers, serum lipids levels anddyslipidemia detection rate is higher than non-smokers, as smoking increased, the growth ofyears of smoking, serum lipids levels increased continuously.3. Sleep habits, eating habits’effects on lipids levels can not be ignored; eat more foodswith lower serum cholesterol is conducive to the prevention and control of high bloodcholesterol.4. Long-term moderate-intensity physical exercise, reasonable diet structure and healthylifestyle help to improve serum lipids levels and the quality of life.In short, professor serum lipids abnormalities average prevalence rates higher than thenational level, the dyslipidemia prevention work is not ideal. In order to formate a virtuouscycle of a balanced dietâ†'physical exerciseâ†'weight control mode in the way of life,especially those associated with hypertension, diabetes, smoking and other risk factors,onemust firstly change unhealthy lifestyle, regularly check serum lipids.