Abstract：Objective To explore the related factors of dyslipidemia and establish a nomogram for predicting the risk of dyslipidemia among residents in Shangcheng District of Hangzhou. Methods By multi-stage random sampling method,five streets were randomly sampled from Shangcheng District;two communities were sampled from each street;153 families were sampled from each community. All residents aged 18 years and above were included for questionnaire survey,physical examination,glucose and lipid detection. Logistic regression model was applied to analyzing influencing factors for dyslipidemia,and a nomogram was built for risk assessment of individual dyslipidemia. Results Among 3 061 respondents,536 with dyslipidemia were detected. The prevalence of dyslipidemia was 17.51%,the standardized prevalence of dyslipidemia was 13.74% according to age. The results of multivariate logistic regression analysis showed that age of 45 years and above（OR45~64 years= 2.623,95%CI：1.738-3.961;OR65~74 years=3.941,95%CI：2.632-5.900;OR≥75 years=3.264,95%CI：2.095-5.084）,overweight or obesity（OR=1.725,95%CI：1.390-2.140）,diabetes（OR=3.103,95%CI：2.369-4.063）,hypertension（OR=2.789, 95%CI：2.196-3.542）and family history of coronary heart disease（OR=2.215,95%CI：1.443-3.399）were risk factors for dyslipidemia;daily exercise（OR=0.790,95%CI：0.630-0.991）was a protective factor for dyslipidemia. In the nomogram,age of 45-64 years,65-74 years,75 years and above,overweight or obesity,diabetes,hypertension,family history of coronary heart disease and no daily exercise were scored 70,100,86,40,83,75,58 and 17,respectively（totally 373）,with a high C-index of 0.790（95%CI：0.779-0.801）. Conclusion Age,overweight or obesity, diabetes,hypertension,family history of coronary heart disease and daily exercise were related to dyslipidemia. The nomogram based on these factors can help evaluate the risk of dyslipidemia individually.
施明明, 张晓, 李娜, 胡锦峰. 居民血脂异常影响因素的列线图分析[J]. 预防医学, 2019, 31(5): 460-464.
SHI Ming-ming, ZHANG Xiao, LI Na, HU Jin-feng. Establishment of nomogram for dyslipidemia related factors. Preventive Medicine, 2019, 31(5): 460-464.