| Objectives:To investigate the prevalence of hyperlipidemia and its clinical subtypes among the Han residents in Yongsheng County,Lijiang City,Yunnan Province,and to explore the influencing factors of hyperlipidemia,so as to provide a scientific theoretical basis for improving the health status of blood lipids among the Han people in Yongsheng County and formulating of prevention and control strategies for hyperlipidemia in related areas.Methods:A multi-stage stratified sampling method was used to select 10538 Han people aged 30 to 79 from Yongsheng County,Lijiang City,Yunnan Province,for electronic questionnaire survey,physical examination,blood glucose and blood lipid detection.The prevalence of hyperlipidemia with different demographic characteristics was compared by χ2 test.Univariate logistic regression analysis was used for univariate analysis.Single-level logistic regression model and two-level logistic regression model were used for multivariate analysis.Results:1.The prevalence of hyperlipidemia was 32.76%(31.85%～33.67%)in Yongsheng County,Lijiang City,Yunnan Province.The prevalence of hypercholesterolemia was 5.58%(5.13%～6.03%),hypertriglyceridemia was 18.69%(17.93%～19.45%),mixed hyperlipidemia was 5.25%(4.82%～5.69%),and low high-density lipoprotein was 9.43%(8.86%～9.99%).The prevalence of hyperlipidemia was significantly different in gender(χ2=3.861,P=0.049),age(χ2=161.206,P<0.001),marital status(χ2=11.314,P=0.010),educational level(χ2=38.479,P<0.001)and occupation(χ2=76.816,P<0.001).The prevalence of hypercholesterolemia was significantly different in gender(χ2=19.863,P<0.001),age(χ2=160.888,P<0.001),marital status(χ2=25.532,P<0.001)and educational level(χ2=56.510,P<0.001).The prevalence of hypercholesterolemia was not significantly different between agricultural laborers and nonagricultural laborers(χ2=0.010,P=0.919).The prevalence of hypertriglyceridemia was significantly different in gender(χ2=9.315,P=0.002),age(χ2=44.818,P<0.001),education level(χ2=12.886,P=0.012)and occupation(χ2=43.091,P<0.001).There was no significant difference in the prevalence of hypertriglyceridemia between marriage status groups(χ2=6.593,P=0.086).The prevalence of mixed hyperlipidemia in gender(χ2=5.256,P=0.022),age(χ2=112.971,P<0.001),marital status(χ2=13.912,P=0.003),education level)(χ2=35.440,P<0,001)and occupation(χ2=13.695,P<0.001)were significantly different.There were significant differences in the prevalence of low high-density lipoprotein in gender(χ2=104.479,P<0.001),education level(χ2=23.062,P<0.001)and occupation(χ2=58.979,P<0.001).There was no significant difference in the prevalence of low high-density lipoprotein in different age and marital status(P>0.05).2.There was no significant difference in the prevalence of hyperlipidemia,hypercholesterolemia,hypertriglyceridemia and mixed hyperlipidemia between Yongbei town and shunzhou township(P>0.05),but there was significant difference in the prevalence of low high-density lipoprotein cholesterol between Yongbei town and shunzhou township(P<0.05).3.Both single-level logistic regression model and two-level logistic regression model analysis showed that age,occupation,annual household income,sleep disorder,nap habits,snoring frequency,hypertension,diabetes,BMI,and central obesity were the influencing factors of hyperlipidemia.Education level,frequency of drinking alcohol,frequency of drinking tea were no significant difference in the single-level logistic regression model,but were the influencing factors of hyperlipidemia in the two-level logistic regression model.Physical activity and health self-assessment were the influencing factors in the single-level logistic regression model,but there were no statistical significance in the two-level logistic regression model.4.By two-level logistic regression analysis,Age is a risk factor for hyperlipidemia.compared with 30-age group,40～years old(OR=1.293,95%CI:1.028～1.626),50～years old(OR=1.733,95%CI:1.375～2.184),60～years old(OR=1.619,95%CI:1.250～2.097)and 70～79 years old(OR=1.557,95%CI:1.112～2.182)had higher risk of hyperlipidemia.Compared with those without formal schooling,primary school education was a protective factor for hyperlipidemia(OR=0.872,95%CI:0.762～0.998).Workers(OR=1.802,95%CI:1.359～2.390)and housekeepers(OR=1.235,95%CI:1.047～1.456)were the risk factors of hyperlipidemia compared with agricultural laborers.Compared with those whose family annual income was less than 12000 yuan,family annual income of 12000-19999 yuan(OR=0.815,95%CI:0.678～0.980)and 20000-59999 yuan(OR=0.780,95%CI:0.640～0.951)were protective factors for hyperlipidemia.Compared with never or little drinking,drinking every day was a protective factor(OR=0.793,95%CI:0.647～0.972).Compared with not drinking tea,drinking tea every day was a protective factor(OR=0.876,95%CI:0.779～0.986).Sleep disorder was a risk factor for hyperlipidemia(OR=1.170,95%CI:1.046～1.308).Nap habit was a risk factor for hyperlipidemia(OR=1.231,95%CI:1.097～1.382).Compared with people without snoring habit,frequent snoring was a risk factor for hyperlipidemia(OR=1.244,95%CI:1.084～1.426).Hypertension(OR=1.300,95%CI:1.153～1.465),diabetes(OR=1.931,95%CI:1.628～2.290),central obesity(OR=1.998,95%CI:1.735～2.300)were risk factors for hyperlipidemia.Compared with those with normal BMI,overweight(OR=1.473,95%CI:1.279～1.696),obesity(OR=1.659,95%CI:1.286～2.140)were risk factors for hyperlipidemia,and thin(OR=0.529,95%CI:0.412～0.678)were protective factors.Conclusions:1.The standardized prevalence of hyperlipidemia in Yongsheng County,Lijiang City,Yunnan Province is lower than the national level of dyslipidemia in 2012,but the situation is still not optimistic.2.Among the clinical subtypes of hyperlipidemia,the prevalence of hypertriglyceridemia and Low high-density lipoprotein cholesterol was higher in Yongsheng County,Lijiang City,Yunnan Province.3.The prevalence of hyperlipidemia was clustered at the village committee/street level.The two-level logistic regression model is more scientific than the traditional single-level logistic regression model,which can fully consider the hierarchical structure of the data.4.Two level logistic regression model analysis showed that age,education level,occupation,annual household income,frequency of drinking alcohol,frequency of drinking tea,sleep disorder,nap habit,frequency of snoring,hypertension,diabetes,BMI,and central obesity were the influencing factors of hyperlipidemia.5.It is suggested to identify the high-risk groups,find out the patients with hyperlipidemia as soon as possible,and encourage the patients with hyperlipidemia to carry out self-health monitoring.We should strengthen the health education of blood lipid among local residents,improve the awareness of the harm of hyperlipidemia,support residents to carry out regular blood lipid testing,and encourage patients with hyperlipidemia to seek medical treatment in time. |
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