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广西18岁及以上居民血脂异常现况及其膳食影响多因素logistic回归分析
引用本文:岑鸿蕾,杨虹,罗水英,毛玮,陆伟江,许晶晶,蔡剑锋.广西18岁及以上居民血脂异常现况及其膳食影响多因素logistic回归分析[J].应用预防医学,2020(1):8-12.
作者姓名:岑鸿蕾  杨虹  罗水英  毛玮  陆伟江  许晶晶  蔡剑锋
作者单位:广西壮族自治区疾病预防控制中心
基金项目:广西自然科学基金项目(2014GXNSFAA118220)。
摘    要:目的分析膳食摄入水平与血脂异常的关系,为血脂异常的膳食防治提供参考依据。方法数据来源于2013年中国慢性病及其危险因素监测广西项目点调查。该调查选取调查前12个月内在监测点居住6个月以上,且年龄≥18岁的居民作为调查对象。采用多阶段整群随机抽样方法,在广西10个监测县(区)每县随机抽取3个乡镇(街道),每个乡镇(街)随机抽取3个村(居委会),每个村(居委会)随机抽取50户,每户随机抽取1名18岁及以上居民进行调查。利用χ^2检验及多因素logistic回归分析方法分析膳食与血脂异常的关系。结果在5 963名有效调查对象中,主要以女性(58.40%)、45~59岁(37.16%)、小学及以下(53.23%)和超重(27.03%)为主。血脂异常总检出率为31.81%,其中,城市居民(39.15%)高于农村居民(28.73%),男性(36.21%)高于女性(27.53%)。45~59岁年龄组血脂异常检出率(38.32%)最高,超重人群和肥胖人群血脂异常检出率(分别为39.49%和42.36%)明显高于正常体重人群(26.77%)。血脂异常类型以低高密度脂蛋白胆固醇(HDL-C)血症为主(检出率为18.24%)。单因素分析结果显示,居民不同血脂异常检出率在不同地区、年龄、性别、教育程度、BMI差异具有统计学意义(P<0.05)。多因素logistic回归分析结果显示,蔬菜、水果与血脂异常检出呈负相关,是保护因素,OR值(95%CI)分别为0.057(0.032-0.063)和0.090 (0.842-0.962);红肉、食用油与血脂异常检出呈正相关,是危险因素,OR值(95%CI)为1.027(1.275-1.595)和1.004 (1.001-1.102)。结论 2013年广西18岁及以上居民血脂异常检出率低于全国平均水平,适量摄入新鲜蔬菜、水果,减少红肉及食用油的摄入,可以有效预防血脂异常的发生。

关 键 词:血脂异常  检出率  膳食  影响因素

The prevalence of dyslipidemia in residents aged 18 and above in Guangxi and the dietary influencing factors in multivariate logistic regression analysis
CEN Hong-lei,YANG Hong,LUO Shui-ying,MAO Wei,LU Wei-jiang,XU Jing-jing,CAI Jian-feng.The prevalence of dyslipidemia in residents aged 18 and above in Guangxi and the dietary influencing factors in multivariate logistic regression analysis[J].Journal of Applied Preventive Medicine,2020(1):8-12.
Authors:CEN Hong-lei  YANG Hong  LUO Shui-ying  MAO Wei  LU Wei-jiang  XU Jing-jing  CAI Jian-feng
Institution:(Guangxi Zhuang Autonomous Region Center for Disease Prevention and Control,Nanning,Guangxi 530028,China)
Abstract:Objective Analyze the relationship between plasma uptake and dyslipidemia,and provide a basis for the complications of dyslipidemia.Methods The survey data was driven from China’ s chronic diseases and their risk factors monitoring project sites in Guangxi in 2013.Residents who lived in the monitoring sites more than 6 months within 12 months prior to the survey and aged 18 or above were selected as the survey subjects.Multi-stage cluster random sampling method was used,3 towns(streets) were randomly selected in each 10 monitored counties(districts) in Guangxi,3 villages(neighborhood committees) were randomly selected from each town(street),50 households were randomly selected from each village(neighborhood committee),and 1 resident aged 18 or above was randomly selected from each household for investigation.Analyse the relationship between food intake and dyslipidemia by chi-square analysis and multivariate logistic regression analysis.Results Among the the 5 963 valid respondents,female(58.40%),45-59 years old(37.16%),primary school and below(53.23%),and overweight(27.03%) were accounted for the majority.The total detection rate of dyslipidemia was 31.81%.The urban area(39.15%) was higher than the rural area(28.73%),male(36.21%) was higher than female(27.53%),and the highest detection rate of dyslipidemia was detected in the 45-59 age group(38.32%).The detection rate of dyslipidemia among the overweight(39.49%) and the obesity(42.36%) was higher than the normal(26.77%).The main type of dyslipidemia was low density lipoprotein cholesterol(HDL-C)(18.24%).The univariate analysis showed that the detection rates of different dyslipidemia among residents were statistically significant in different regions,ages,genders,education levels,and BMI(P<0.05).The results of multivariate logistic regression analysis showed that the intake of vegetables and fruits were negatively correlated with dyslipidemia,which were protective factors,with OR values(95% CI) 0.057(0.032-0.063) and 0.090(0.842-0.962),respectively.Intake of red meat and edible oil were positively correlated with dyslipidemia,which were risk factors,with OR value(95% CI) 1.027(1.275-1.595) and 1.004(1.001-1.102),respectively.Conclusion In2013,the detection rate of dyslipidemia in residents aged 18 or above in Guangxi was lower than the national level.Proper intake of fresh vegetables and fruits,and less intake of red meat and edible oil can effectively prevent the occurrence of dyslipidemia.
Keywords:dyslipidemia  detection rate  dietary  influencing factors
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