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食盐强化铁和碘与单独食盐强化碘对改善铁和碘营养状况的效果比较。

Fortification of salt with iron and iodine versus fortification of salt with iodine alone for improving iron and iodine status.

机构信息

Centre for Global Child Health, The Hospital for Sick Children, Toronto, Canada.

Department of Nutritional Sciences, University of Toronto, Toronto, Canada.

出版信息

Cochrane Database Syst Rev. 2022 Apr 21;4(4):CD013463. doi: 10.1002/14651858.CD013463.pub2.


DOI:10.1002/14651858.CD013463.pub2
PMID:35446435
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9022669/
Abstract

BACKGROUND: Iron deficiency is an important micronutrient deficiency contributing to the global burden of disease, and particularly affects children, premenopausal women, and people in low-resource settings. Anaemia is a possible consequence of iron deficiency, although clinical and functional manifestations of anemia can occur without iron deficiency (e.g. from other nutritional deficiencies, inflammation, and parasitic infections). Direct nutritional interventions, such as large-scale food fortification, can improve micronutrient status, especially in vulnerable populations. Given the highly successful delivery of iodine through salt iodisation, fortifying salt with iodine and iron has been proposed as a method for preventing iron deficiency anaemia. Further investigation of the effect of double-fortified salt (i.e. with iron and iodine) on iron deficiency and related outcomes is warranted.  OBJECTIVES: To assess the effect of double-fortified salt (DFS) compared to iodised salt (IS) on measures of iron and iodine status in all age groups. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, five other databases, and two trial registries up to April 2021. We also searched relevant websites, reference lists, and contacted the authors of included studies. SELECTION CRITERIA: All prospective randomised controlled trials (RCTs), including cluster-randomised controlled trials (cRCTs), and controlled before-after (CBA) studies, comparing DFS with IS on measures of iron and iodine status were eligible, irrespective of language or publication status. Study reports published as abstracts were also eligible. DATA COLLECTION AND ANALYSIS: Three review authors applied the study selection criteria, extracted data, and assessed risk of bias. Two review authors rated the certainty of the evidence using GRADE. When necessary, we contacted study authors for additional information. We assessed RCTs, cRCTs and CBA studies using the Cochrane RoB 1 tool and Cochrane Effective Practice and Organisation of Care (EPOC) tool across the following domains: random sequence generation; allocation concealment; blinding of participants and personnel; blinding of outcome assessment; incomplete outcome data; selective reporting; and other potential sources of bias due to similar baseline characteristics, similar baseline outcome assessments, and declarations of conflicts of interest and funding sources. We also assessed cRCTs for recruitment bias, baseline imbalance, loss of clusters, incorrect analysis, and comparability with individually randomised studies. We assigned studies an overall risk of bias judgement (low risk, high risk, or unclear).  MAIN RESULTS: We included 18 studies (7 RCTs, 7 cRCTs, 4 CBA studies), involving over 8800 individuals from five countries. One study did not contribute to analyses. All studies used IS as the comparator and measured and reported outcomes at study endpoint.  With regards to risk of bias, five RCTs had unclear risk of bias, with some concerns in random sequence generation and allocation concealment, while we assessed two RCTs to have a high risk of bias overall, whereby high risk was noted in at least one or more domain(s). Of the seven cRCTs, we assessed six at high risk of bias overall, with one or more domain(s) judged as high risk and one cRCT had an unclear risk of bias with concerns around allocation and blinding. The four CBA studies had high or unclear risk of bias for most domains. The RCT evidence suggested that, compared to IS, DFS may slightly improve haemoglobin concentration (mean difference (MD) 0.43 g/dL, 95% confidence interval (CI) 0.23 to 0.63; 13 studies, 4564 participants; low-certainty evidence), but DFS may reduce urinary iodine concentration compared to IS (MD -96.86 μg/L, 95% CI -164.99 to -28.73; 7 studies, 1594 participants; low-certainty evidence), although both salts increased mean urinary iodine concentration above the cut-off deficiency. For CBA studies, we found DFS made no difference in haemoglobin concentration (MD 0.26 g/dL, 95% CI -0.10 to 0.63; 4 studies, 1397 participants) or urinary iodine concentration (MD -17.27 µg/L, 95% CI -49.27 to 14.73; 3 studies, 1127 participants). No studies measured blood pressure. For secondary outcomes reported in RCTs, DFS may result in little to no difference in ferritin concentration (MD -3.94 µg/L, 95% CI -20.65 to 12.77; 5 studies, 1419 participants; low-certainty evidence) or transferrin receptor concentration (MD -4.68 mg/L, 95% CI -11.67 to 2.31; 5 studies, 1256 participants; low-certainty evidence) compared to IS. However, DFS may reduce zinc protoporphyrin concentration (MD -27.26 µmol/mol, 95% CI -47.49 to -7.03; 3 studies, 921 participants; low-certainty evidence) and result in a slight increase in body iron stores (MD 1.77 mg/kg, 95% CI 0.79 to 2.74; 4 studies, 847 participants; low-certainty evidence). In terms of prevalence of anaemia, DFS may reduce the risk of anaemia by 21% (risk ratio (RR) 0.79, 95% CI 0.66 to 0.94; P = 0.007; 8 studies, 2593 participants; moderate-certainty evidence). Likewise, DFS may reduce the risk of iron deficiency anaemia by 65% (RR 0.35, 95% CI 0.24 to 0.52; 5 studies, 1209 participants; low-certainty evidence).  Four studies measured salt intake at endline, although only one study reported this for both groups. Two studies reported prevalence of goitre, while one CBA study measured and reported serum iron concentration. One study reported adverse effects. No studies measured hepcidin concentration. AUTHORS' CONCLUSIONS: Our findings suggest DFS may have a small positive impact on haemoglobin concentration and the prevalence of anaemia compared to IS, particularly when considering efficacy studies. Future research should prioritise studies that incorporate robust study designs and outcome measures (e.g. anaemia, iron status measures) to better understand the effect of DFS provision to a free-living population (non-research population), where there could be an added cost to purchase double-fortified salt. Adequately measuring salt intake, both at baseline and endline, and adjusting for inflammation will be important to understanding the true effect on measures of iron status.

摘要

背景:铁缺乏是导致全球疾病负担的重要微量营养素缺乏症,尤其影响儿童、育龄期妇女和资源匮乏人群。贫血是铁缺乏的可能后果,尽管贫血的临床和功能表现可能在没有铁缺乏的情况下发生(例如,由于其他营养缺乏、炎症和寄生虫感染)。直接营养干预措施,如大规模食物强化,可以改善微量营养素状况,特别是在脆弱人群中。鉴于碘盐碘化的成功实施,强化盐中的碘和铁已被提议作为预防缺铁性贫血的一种方法。进一步研究双重强化盐(即含铁和碘)对铁缺乏和相关结果的影响是有必要的。 目的:评估与食用碘盐(IS)相比,双重强化盐(DFS)对所有年龄组的铁和碘状况的影响。 检索方法:我们检索了 CENTRAL、MEDLINE、Embase、其他 5 个数据库和 2 个试验注册库,检索时间截至 2021 年 4 月。我们还检索了相关网站、参考文献,并联系了纳入研究的作者。 入选标准:所有前瞻性随机对照试验(RCT),包括整群随机对照试验(cRCT)和对照前后(CBA)研究,均比较 DFS 与 IS 对铁和碘状况的影响,无论语言或出版状态如何。作为摘要发表的研究报告也符合入选条件。 数据收集和分析:3 名综述作者应用研究选择标准,提取数据,并评估偏倚风险。2 名综述作者使用 GRADE 评估证据的确定性。如有必要,我们会联系研究作者以获取更多信息。我们使用 Cochrane RoB 1 工具和 Cochrane 有效实践和组织(EPOC)工具评估 RCTs、cRCTs 和 CBA 研究,评估领域包括:随机序列生成;分配隐藏;参与者和人员的盲法;结局评估的盲法;不完整的结局数据;选择性报告;以及类似的基线特征、类似的基线结局评估、以及利益冲突和资金来源的声明所导致的其他潜在偏倚来源。我们还评估了 cRCTs 的招募偏倚、基线不平衡、簇丢失、不正确的分析以及与个体随机研究的可比性。我们对研究的总体偏倚风险进行了判断(低风险、高风险或不确定)。 主要结果:我们纳入了 18 项研究(7 项 RCT、7 项 cRCT 和 4 项 CBA 研究),涉及来自 5 个国家的 8800 多名参与者。一项研究未对分析结果作出贡献。所有研究均使用 IS 作为对照,并在研究终点测量和报告结局。 关于偏倚风险,5 项 RCT 存在不确定的偏倚风险,在随机序列生成和分配隐藏方面存在一些担忧,而我们评估的两项 RCT 总体偏倚风险较高,至少有一个或多个领域被评为高风险。在 7 项 cRCT 中,我们评估了其中 6 项的偏倚风险总体较高,至少有一个或多个领域被评为高风险,而一项 cRCT 偏倚风险不确定,对分配和盲法存在担忧。4 项 CBA 研究在大多数领域存在高或不确定的偏倚风险。RCT 证据表明,与 IS 相比,DFS 可能略微提高血红蛋白浓度(平均差值(MD)0.43 g/dL,95%置信区间(CI)0.23 至 0.63;13 项研究,4564 名参与者;低质量证据),但 DFS 可能会降低与 IS 相比的尿碘浓度(MD-96.86μg/L,95%CI-164.99 至-28.73;7 项研究,1594 名参与者;低质量证据),尽管这两种盐都增加了尿碘浓度超过了缺乏的临界值。对于 CBA 研究,我们发现 DFS 对血红蛋白浓度(MD0.26 g/dL,95%CI0.10 至 0.63;4 项研究,1397 名参与者)或尿碘浓度(MD-17.27μg/L,95%CI-49.27 至 14.73;3 项研究,1127 名参与者)没有影响。没有研究测量血压。在 RCT 中报告的次要结局中,DFS 对铁蛋白浓度(MD-3.94μg/L,95%CI-20.65 至 12.77;5 项研究,1419 名参与者;低质量证据)或转铁蛋白受体浓度(MD-4.68mg/L,95%CI-11.67 至 2.31;5 项研究,1256 名参与者;低质量证据)的影响可能较小。然而,DFS 可能会降低锌原卟啉浓度(MD-27.26μmol/mol,95%CI-47.49 至-7.03;3 项研究,921 名参与者;低质量证据),并导致体内铁储存略有增加(MD1.77mg/kg,95%CI0.79 至 2.74;4 项研究,847 名参与者;低质量证据)。在贫血患病率方面,DFS 可使贫血风险降低 21%(风险比(RR)0.79,95%CI0.66 至 0.94;P=0.007;8 项研究,2593 名参与者;中等质量证据)。同样,DFS 可使缺铁性贫血的风险降低 65%(RR0.35,95%CI0.24 至 0.52;5 项研究,1209 名参与者;低质量证据)。四项研究在终点测量盐摄入量,尽管只有一项研究报告了两组的盐摄入量。两项研究报告了甲状腺肿的患病率,而一项 CBA 研究测量并报告了血清铁浓度。一项研究报告了不良反应。没有研究测量铁调素浓度。 作者结论:我们的研究结果表明,与 IS 相比,DFS 可能对血红蛋白浓度和贫血的患病率有较小的积极影响,尤其是在考虑疗效研究时。未来的研究应优先考虑使用稳健的研究设计和结局指标(如贫血、铁状态指标)的研究,以更好地了解向自由生活人群(非研究人群)提供双重强化盐的效果,因为购买双重强化盐可能会产生额外的成本。在理解铁状况的真实影响时,充分测量基线和终点的盐摄入量,并调整炎症水平将是很重要的。

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J Nutr. 2021-2-15

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