de Mestral Carlos, Mayén Ana-Lucia, Petrovic Dusan, Marques-Vidal Pedro, Bochud Murielle, Stringhini Silvia
Carlos de Mestral, Ana-Lucia Mayén, Dusan Petrovic, Murielle Bochud, and Silvia Stringhini are with the Division of Chronic Diseases, Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland. Pedro Marques-Vidal is with the Department of Internal Medicine, Lausanne University Hospital.
Am J Public Health. 2017 Apr;107(4):e1-e12. doi: 10.2105/AJPH.2016.303629. Epub 2017 Feb 16.
A poorer quality diet among individuals with low socioeconomic status (SES) may partly explain the higher burden of noncommunicable disease among disadvantaged populations. Because there is a link between sodium intake and noncommunicable diseases, we systematically reviewed the current evidence on the social patterning of sodium intake.
To conduct a systematic review and a meta-analysis of the evidence on the association between SES and sodium intake in healthy adult populations of high-income countries.
We followed the PRISMA-Equity guidelines in conducting a literature search that ended June 3, 2016, via MEDLINE, Embase, and SciELO. We imposed no publication date limits.
We considered only peer-reviewed articles meeting the following inclusion criteria: (1) reported a measure of sodium intake disaggregated by at least 1 measure of SES (education, income, occupation, or any other socioeconomic indicator); (2) were written in English, Spanish, Portuguese, French, or Italian; and (3) were conducted in a high-income country as defined by the World Bank (i.e., per capita national gross income was higher than $12 746). We also excluded articles that exclusively sampled low-SES individuals, pregnant women, children, adolescents, elderly participants, or diseased patients or that reported results from a trial or intervention.
As summary measures, we extracted (1) the direction (positive, negative, or neutral) and the magnitude of the association between each SES indicator and sodium intake, and (2) the estimated sodium intake according to SES level. When possible and if previously unreported, we calculated the magnitude of the relative difference in sodium intake between high- and low-SES groups for each article, applying this formula: ([value for high-SES group - value for low-SES group]/[value for high-SES group]) × 100. We considered an association significant if reported as such, and we set an arbitrary 10% relative difference as clinically relevant and significant. We conducted a meta-analysis of the relative difference in sodium intake between high- and low-SES groups. We included articles in the meta-analysis if they reported urine-based sodium estimates and provided the total participant numbers in the low- and high-SES groups, the estimated sodium intake means for each group (in mg/day or convertible units), and the SDs (or transformable measures). We chose a random-effects model to account for both within-study and between-study variance.
Fifty-one articles covering 19 high-income countries met our inclusion criteria. Of these, 22 used urine-based methods to assess sodium intake, and 30 used dietary surveys. These articles assessed 171 associations between SES and sodium intake. Among urine-based estimates, 67% were negative (higher sodium intake in people of low SES), 3% positive, and 30% neutral. Among diet-based estimates, 41% were negative, 21% positive, and 38% neutral. The random-effects model indicated a 14% relative difference between low- and high-SES groups (95% confidence interval [CI] = -18, -9), corresponding to a global 503 milligrams per day (95% CI = 461, 545) of higher sodium intake among people of low SES.
People of low SES consume more sodium than do people of high SES, confirming the current evidence on socioeconomic disparities in diet, which may influence the disproportionate noncommunicable disease burden among disadvantaged socioeconomic groups. Public Health Implications. It is necessary to focus on disadvantaged populations to achieve an equitable reduction in sodium intake to a population mean of 2 grams per day as part of the World Health Organization's target to achieve a 25% relative reduction in noncommunicable disease mortality by 2025.
社会经济地位(SES)较低人群的饮食质量较差,这可能部分解释了弱势群体中非传染性疾病负担较高的原因。由于钠摄入量与非传染性疾病之间存在联系,我们系统地回顾了当前关于钠摄入量社会模式的证据。
对高收入国家健康成年人群中SES与钠摄入量之间关联的证据进行系统回顾和荟萃分析。
我们遵循PRISMA-Equity指南,通过MEDLINE、Embase和SciELO进行文献检索,检索截止至2016年6月3日。我们没有设定出版日期限制。
我们仅考虑符合以下纳入标准的同行评审文章:(1)报告了按至少一项SES指标(教育程度、收入、职业或任何其他社会经济指标)分类的钠摄入量测量值;(2)以英语、西班牙语、葡萄牙语、法语或意大利语撰写;(3)在世界银行定义的高收入国家进行(即人均国民总收入高于12746美元)。我们还排除了仅对低SES个体、孕妇、儿童、青少年、老年参与者或患病患者进行抽样的文章,或报告试验或干预结果的文章。
作为汇总指标,我们提取了(1)每个SES指标与钠摄入量之间关联的方向(正、负或中性)和幅度,以及(2)根据SES水平估计的钠摄入量。如果可能且之前未报告,我们为每篇文章计算了高SES组和低SES组之间钠摄入量相对差异的幅度,应用以下公式:([高SES组的值 - 低SES组的值]/[高SES组的值])×100。如果报告为显著关联,我们认为该关联具有统计学意义,并且我们将任意10%的相对差异设定为具有临床相关性和显著性。我们对高SES组和低SES组之间钠摄入量的相对差异进行了荟萃分析。如果文章报告了基于尿液的钠估计值,并提供了低SES组和高SES组的总参与者数量、每组的估计钠摄入量均值(以毫克/天或可转换单位表示)以及标准差(或可转换测量值),我们将其纳入荟萃分析。我们选择随机效应模型来考虑研究内和研究间的方差。
涵盖19个高收入国家的51篇文章符合我们的纳入标准。其中,22篇使用基于尿液的方法评估钠摄入量,30篇使用膳食调查。这些文章评估了SES与钠摄入量之间的171种关联。在基于尿液的估计中,67%为负(低SES人群钠摄入量较高),3%为正,30%为中性。在基于饮食的估计中,41%为负,21%为正,38%为中性。随机效应模型表明,低SES组和高SES组之间的相对差异为14%(95%置信区间[CI]= -18,-9),相当于低SES人群每天钠摄入量总体高503毫克(95%CI = 461,545)。
低SES人群比高SES人群摄入更多的钠,这证实了当前关于饮食中社会经济差异的证据,这可能影响社会经济弱势群体中不成比例的非传染性疾病负担。对公共卫生的影响。有必要关注弱势群体,以公平地将钠摄入量降低到人均每天2克,这是世界卫生组织到2025年将非传染性疾病死亡率相对降低25%目标的一部分。