| ObjectiveThe purpose of this study was to detect the incidence of heart rate variability in different genders,ages and occupational groups.Through the analysis of various indicators of heart rate variability,we can know the population's fatigue,psychological pressure,autonomic nervous activity and function.To investigate the effects of cardiovascular risk factors on fatigue,psychological stress,autonomic nervous activity and function in the crowd.Then,we will provide guidance for the subjects to reduce fatigue and psychological pressure,improve autonomic activity and function,and improve the health awareness.MethodsThis study used the DPL6000 heart rate variability analyzer to examine subjects undergoing heart rate variability analysis from January 1,2016 to December 31,2017 in the Health Management Center of PLA No.202 Hospital.The index values of the heart rate variability analysis were collected,and the general data and physical examination results of the subjects were collected and analyzed for analysis.Results(1)A total of 2380 subjects were studied,including 1463 males and 917 females.The average age was(44.64± 11.49)years,878 were 18-40 years old,1430 were 41-65 years old,72 were 66 years old.Among different occupational groups,there are 747 administrative staff,198 professional and technical personnel,873 administrative personnel,98 public service personnel,62 farmers and workers,and 402 other personnel.Among the cardiovascular risk factors,there were 750 non-risk factors,708 were hypertensive,515 were dyslipidemia,492 were atherosclerosis,441 were overweight or obesity and 293 were diabetic.In terms of the number of risk factors,there are 627 of one risk factors,429 of two risk factors,and 293 of three or more risk factors.(2)In terms of gender,in the comparison of HRV indicators,there was no statistically significant difference in the indicators of the>66-year-old group(P>0.05).Males had higher values in terms of LF,LF/HF than women,and women had higher HF than males.In the comparison of the four status scores,there was no statistically significant difference in the scores of the ? 66-year-old group(P>0.05).Males aged 18-40 were more likely to have psychological stress and autonomic nervous activity than females.Males in the 41-65 age group had higher fatigue and psychological pressure than females.Autonomic activity and function were lower in females than in females.There was no statistically significant difference in the detection rate of each condition in the ?66-year-old group(P>0.05).The rate of abnormal stress detection in the 18-40-year-old group was higher for males than for females,and for 41-65-year-old.The abnormal detection rate was higher for men than for women.(3)In terms of age,comparisons of HRV indexes showed significant differences between SDNN,TP,LF,HF,and LF/HF(P<0.05).As the growth of the age,the value of each indicator continues to decrease.And the highest value was found in the 18-40-year-old group,the lowest value was found in the>66-year-old group.In the four state score comparisons,there were significant differences in fatigue,psychological pressure,autonomic nervous activity and function(P<0.05).With the age increasing,the degree of fatigue gradually increased,psychological pressure and autonomic activity and function gradually decreased.In the comparison of the abnormal detection rates of the four status scores,the differences in the detection rates of fatigue,psychological pressure,autonomic nervous activity,and functional abnormalities were statistically significant(P<0.05).There was a statistically significant difference in the abnormal detection rate between the three age groups(P<0.05).With the increase of age,the abnormal detection rate of fatigue,autonomic nervous activity and function gradually increased,abnormal psychological pressure was detected.In the abnonnal detection rate of psychological pressure,the male detection rate decreased,and the difference in the female detection rate was not statistically significant(P>0.05).(4)In the comparison of HRV indicators in different occupational groups,there was no significant difference in LF/HF(P>0.05),and there were significant differences between SDNN,TP,LF,HF and LF/HF(P<0.05).Among them,SDNN,TP,LF and HF had statistically significant differences between farmers and workers and other personnel and the other four occupational groups(P<0.05).Among the LF/HF indicators,only administrative personnel and other personnel have statistically significant differences(P<0.05).In the four state score comparisons,the difference in psychological pressure was not statistically significant(P>0.05),and there was a statistically significant difference in fatigue,autonomic nervous activity and function(P<0.05).There were statistically significant differences in the degree of fatigue,autonomic activity and function between farmers and workers and other personnel and other four types of occupational population(P<0.05).In the comparison of the abnormal detection rates of the four status scores,there was no statistically significant difference in the detection rate of abnormal psychological pressure(P>0.05),and there were significant differences in the abnormal detection rate of fatigue,autonomic nervous activity,and function(P<0.05).In terms of fatigue,farmers and workers and other personnel have a higher rate of abnormality.In terms of autonomic activity and function,the abnonnal rate of other personnel was the highest.(5)In the different risk factor groups,there were no significant difference in LF/HF between the hypertension group,dyslipidemia group and the non-risk factor group in comparison of HRV index(P>0.05),the remaining HRV indices were statistically significant(P<0.05).There were significant differences in various HRV indicators between the atherosclerosis group,the overweight or obesity group,and the diabetes group(P<0.05).In the SDNN,TP,LF,and HF,the risk factor group was lower than the risk factor group.In LF/HF,the arteriosclerosis group was lower than the non-atheroscl-erotic group.The values of overweight or obesity group and diabetes group were higher than those without this risk group.In the four state score comparisons,there were no significant difference in psychological pressure between hypertension group,dyslipidemia group and arteriosclerosis group and no risk factor group(P>0.05),the differences in fatigue,autonomic nervous activity and function were statistically significant(P<0.05).There was significant statistical difference in fatigue,psychologic-al pressure,autonomic nervous activity and function between the overweight or obesity group and the diabetic group and the non-risk factor group(P<0.05).In the statistically significant group,the fatigue was higher,the psychological pressure was increased,and the autonomic nerve activity and function were decreased between the risk factor group and the non-risk factor group.In the comparison of the abnormal detection rates of the four status scores,there was no significant difference in the abnormal detection rate of psychological pressure between the risk factor group and the non-risk factor group(P>0.05),there was a statistically significant difference in fatigue,autonomic activity and function in the abnormal detectionof rate(P<0.05),there was a higher abnormal detection of rate in the risk factor group than in the non-risk factor group.(6)In the comparison of HRV indexes with different number of risk factors,the differences of SDNN,TP,LF and HF were statistically significant(P<0.05),and there was no statistically significant difference between LF/HF(P>0.05).With the increase in the number of risk factors,the values of HRV indicators gradually decreased.In the four state score comparisons,the differences of fatigue,autonomic nervous activity and function were statistically significant(P<0.05),and there was no statistically significant difference in psychological pressure(P>0.05).With the increase in the number of risk factors,the degree of fatigue gradually increased,and the autonomic activity and function gradually decreased.In the comparison of the abnormal detection rates of the four status scores,there was no statistically significant difference in the abnormal detection rate of psychological pressure(P>0.05),and there was a significant difference in the abnormal detection rate of fatigue,autonomic nervous activity and function(P<0.05).With the increase in the number of risk factors,the abnormal detection rate of fatigue,autonomic activity,and function gradually increased.(7)In multivariate regression analysis of scores for different states,the risk factors for fatigue are hypertension,atherosclerosis,and diabetes;the risk factors for autonomic activity and function are hypertension,atherosclerosis,overweight or obesity,and diabetes.Conclusions(1)Males are more tired than women in social work life,they are also have greater psychological pressure.Adolescents have better autonomic activity and function than young women.Autonomic activity and function are poorer in women in the middle age.(2)As the age increases,the number of HRV indicators gradually decreases.The fatigue of the population gradually increases,psychological pressure,autonomic activity and function gradually decrease,and the abnormal detection rate of fatigue,autonomic activity,and function gradually increases,and abnormal psychological pressure is detected.The rate gradually decreased and the body's health gradually decreased.(3)In the occupational population,the fatigue of farmers and workers and freelancer is high,autonomic activity and function are low,and the abnormal rate of fatigue,autonomic nervous activity and function of freelancer is high.Generally speak-ing,the health of the farmers and workers and freelancer are relatively poor.(4)With the increase in the number of risk factors,the number of HRV indicators gradually decreases.The degree of fatigue the population gradually increased,autono-mic activity and function gradually decreased,and the abnormal detection rate of fatigue,autonomic nervous activity,and function gradually increased,and the degree of physical health decreasing gradually.People with cardiovascular risk factors should pay more attention to their own health. |
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