Universidade Federal da Bahia Escola de Nutrição, Salvador, Bahia, Brazil
Departamento de ciências da nutrição, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
BMJ Open. 2023 Feb 24;13(2):e066324. doi: 10.1136/bmjopen-2022-066324.
Micronutrient deficiencies are common in low-income and middle-income countries and are usually related to inadequate food intake, poor diet quality and low bioavailability. Copper, selenium and zinc are essential minerals in several enzymatic reactions and their deficiencies are associated with worse prognosis in pregnancy, compromising maternal health as well as her offspring. Thus, the objective of the present systematic review will be to describe the prevalence of copper, selenium and zinc deficiencies in women of childbearing age.
The search will be performed by independent reviewers. The bases used will be PubMed/MEDLINE, Science direct, Lilacs, Adolec, Scopus, EMBASE, CINAHL, Web of Science, CENTRAL, IMSEAR, PAHOS, WPRIM, IMEMR, AIM for grey literature OpenGrey and OVID. National data will be searched in BDTD. A first search will be performed and a second search will be performed just before submission. Risk of bias assessment will be performed using the Joanna Briggs group prevalence study checklist. Combinable studies will be performed meta-analysis. Heterogeneity will be tested using Cochran's Q test and quantified by the inconsistency test (I²). In the presence of high heterogeneity, meta-analysis will be performed using the random effects model with Stata metaprop. Summary prevalence will be generated for each outcome, presented in Forest plot figures.
This systematic review will be solely based on published and retrievable literature, no ethics approval will be obtained. Our dissemination strategy will involve the presentation in scientific meetings, as well as the publication of article(s), posters and presentations in congresses.
CRD42020165352.
在中低收入国家,微量营养素缺乏很常见,通常与摄入不足、饮食质量差和生物利用率低有关。铜、硒和锌是几种酶反应所必需的矿物质,它们的缺乏与妊娠时的预后恶化有关,会影响母体健康及其后代。因此,本系统综述的目的将描述育龄妇女铜、硒和锌缺乏的流行情况。
将由独立审查员进行搜索。使用的基础将是 PubMed/MEDLINE、Science direct、Lilacs、Adolec、Scopus、EMBASE、CINAHL、Web of Science、CENTRAL、IMSEAR、PAHOS、WPRIM、IMEMR、AIM 针对灰色文献 OpenGrey 和 OVID。国家数据将在 BDTD 中进行搜索。将进行第一次搜索,并在提交前进行第二次搜索。使用 Joanna Briggs 集团流行研究清单进行偏倚风险评估。可组合的研究将进行荟萃分析。使用 Cochran's Q 检验和不一致性检验(I²)来检验异质性。如果存在高度异质性,将使用 Stata metaprop 中的随机效应模型进行荟萃分析。将为每个结局生成综合流行率,并以森林图的形式呈现。
本系统综述将仅基于已发表和可检索的文献,无需获得伦理批准。我们的传播策略将包括在科学会议上的介绍,以及在文章、海报和会议上的发表。
PROSPERO 注册号:CRD42020165352。