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目的了解安徽省18~59岁就业流动人口蔬菜和水果摄入状况,为制定流动人口蔬菜、水果合理摄入的有效措施提供依据。方法利用2012年安徽省中国慢性病及其危险因素监测流动人口专题调查数据,采用多阶段整群随机抽样方法,抽取1 803人为调查对象,以面对面询问方式收集其蔬菜和水果摄入相关信息。采用SAS 9.4软件包进行χ2检验、率的趋势检验、方差分析和多因素logistic回归分析。结果有效样本量为1 656人,日均蔬菜摄入量为304.77 g(95%CI:297.23~312.31 g),水果摄入量为94.97 g(95%CI:89.66~100.28 g)。蔬菜和水果摄入不足率为56.64%,男性和女性分别为59.89%和53.01%,男性高于女性,差异有统计学意义(P<0.01)。随着年龄增长,男性蔬菜和水果摄入不足率降低,差异有统计学意义(P<0.05);以制造业人员蔬菜和水果摄入不足率最高(66.67%),行业间差异有统计学意义(P<0.01);随着文化程度提升,女性摄入不足率降低,差异有统计学意义(P<0.05)。多因素logistic回归分析结果显示,男性(OR=1.63),行业中的批发零售业、制造业和住宿餐饮业(OR值分别为2.38、2.59和1.99)是安徽省18~59岁就业流动人口蔬菜和水果摄入不足的危险因素。结论 2012年安徽省就业流动人口中男、女性蔬菜和水果摄入不足比例均处于高流行水平,应对批发零售业、制造业和住宿餐饮业就业人员和男性采取有针对性的措施,以提高蔬菜和水果的摄入水平。
Objective To understand the intake of vegetables and fruits among the migrant population aged 18-59 in Anhui Province, and to provide basis for effective measures to formulate reasonable intake of vegetables and fruits for floating population. Methods Based on the survey data of chronic diseases and risk factors in Anhui Province in 2012, a total of 1 803 random samples were collected by multi-stage random sampling method to collect information about their vegetable and fruit intake through face-to-face interrogation. SAS 2 software packages were used for χ 2 test, rate trend test, analysis of variance and multivariate logistic regression analysis. Results The effective sample size was 1 656 with daily vegetable intake of 304.77 g (95% CI: 297.23-312.31 g) and fruit intake of 94.97 g (95% CI: 89.66-100.28 g). The under-consumption rate of vegetables and fruits was 56.64%, male and female were 59.89% and 53.01%, respectively, higher in males than in females, the difference was statistically significant (P <0.01). With age, the undernourishment rate of vegetables and fruits in males decreased, with significant difference (P <0.05); the highest intake of vegetables and fruits in manufacturing industry was the highest (66.67%), the difference was statistically significant (P <0.01). With the improvement of education, female under-intake rate decreased, the difference was statistically significant (P <0.05). Multivariate logistic regression analysis showed that the male and the female (OR = 1.63), wholesale and retail trade, manufacturing and accommodation catering industry (OR = 2.38, 2.59 and 1.99, respectively) were among the migrant population aged 18-59 in Anhui Province And risk factors for inadequate fruit intake. Conclusions In 2012, the proportion of male and female under-employed vegetables and fruits in Anhui’s migrant workers in employment is at a high prevalence level. Targeted measures should be taken for employment and men and women in the wholesale and retail trade, manufacturing and accommodation and catering industries to raise vegetables And the level of fruit intake.