2019年安徽省成年居民膳食中盐摄入量估计

徐伟; 许精巧; 戴丹; 朱君君; 贺琴; 邢秀雅; 陈叶纪; 刘志荣

文章摘要

徐伟,许精巧,戴丹,朱君君,贺琴,邢秀雅,陈叶纪,刘志荣.2019年安徽省成年居民膳食中盐摄入量估计[J].中华流行病学杂志,2021,42(5):823-826

2019年安徽省成年居民膳食中盐摄入量估计

Estimation of dietary salt intake in adult residents in Anhui province, 2019

收稿日期:2020-07-03 出版日期:2021-05-27

DOI：10.3760/cma.j.cn112338-20200703-00913

中文关键词: 盐摄入量 24 h尿钠横断面调查

英文关键词: Salt intake 24-hour urine sodium Cross-sectional study

基金项目:

作者	单位	E-mail
徐伟	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
许精巧	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
戴丹	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
朱君君	芜湖市疾病预防控制中心慢性非传染性疾病防治科 241000
贺琴	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
邢秀雅	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
陈叶纪	安徽省疾病预防控制中心慢性非传染性疾病防治科, 合肥 230601
刘志荣	安徽省疾病预防控制中心, 合肥 230601	liuzhirong66@126.com

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中文摘要:

目的利用2019年安徽省高血压和钠盐摄入监测基线调查数据，估算盐摄入量。方法采用多阶段分层整群随机抽样方法，选取18~69岁居民进行问卷调查和相关指标检测。通过问卷询问获得调查对象的人口学特征、吸烟、饮酒和身体活动等信息；通过身体测量获取BMI、腰围和血压值。采集24 h尿液，检测尿钠、尿钾、尿肌酐和尿微量白蛋白。使用复杂样本基于设计的泰勒级数线性化法估算不同特征居民的盐摄入量，分析盐摄入量与血压值、腰围和BMI的相关性。结果共纳入1 500人，成年居民盐摄入量为9.14 g/d，男性盐摄入量（9.84 g/d）高于女性（8.47 g/d），差异有统计学意义（P<0.05）。不同亚组居民的盐摄入量差异有统计学意义（P<0.05）。单因素线性回归分析结果显示，平均盐摄入量与SBP、DBP、腰围和BMI均呈正相关（P<0.05）。调整后的多因素线性回归分析结果显示，平均盐摄入量仅与BMI呈正相关（β=0.053，95%CI：0.028~0.078，P<0.05）。结论安徽省成年居民膳食的盐摄入量高于WHO的建议，需采取公共卫生措施减少盐的摄入。

英文摘要:

Objective Based on the data of the baseline survey of hypertension and sodium intake monitoring in Anhui province in 2019, the salt intake in adult residents was estimated.Methods Multi-stage stratified cluster random sampling was used to select participants aged 18-69 years, questionnaire survey and related measurements were conducted. Salt intake in participants with different characteristics were estimated with complex sample and linearization of Taylor series based on design and the correlation between salt intake and blood pressure, waist circumference and BMI were tested by linear regression. Results A total of 1 500 participants were included. The overall salt intake was 9.14 g/d, which was 9.84 g/d in men and 8.47 g/d in women (P<0.05). The differences in salt intake across different subgroups were significant (P<0.05). Univariate linear regression analysis showed that salt intake was positively correlated with SBP, DBP, waist circumference and BMI (P<0.05), while multivariate linear regression analysis (adjusted for other factors) only showed a positive correlation between salt intake and BMI (β=0.053,95%CI:0.028-0.078, P<0.05). Conclusion The dietary salt intake in adult residents in Anhui was higher than WHO recommendation, suggesting that public health education need to be taken to reduce salt intake.

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