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Low birth weight in Iran: Implications from a systematic review of the literature and meta-analysis in the period 1999-2017

机译:伊朗的低出生体重:对1999-2017年期间文献和荟萃分析的系统评价的启示

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摘要

>Background: Low birth weight (LBW), a crucial determinant of neonatal complications, represents a major public health concern worldwide. Epidemiological research is of crucial importance for designing and implementing ad hoc interventions for this issue, helping and guiding decision- and policy-makers in each country to prevent the increased prevalence of LBW in infants through estimating the prevalence rate, identifying and controlling major risk factors. The present investigation aimed to systematically assess LBW prevalence rate in Iran and its determinants. >Methods: PubMed/Medline via Ovid, Embase, Web of Science and Scopus as well as Magiran, SID and Irandoc were searched from inception until November 2016. Also, the grey literature (via Google Scholar) was mined. The DerSimonian-Laird model was exploited. The I2 and Q-test tests were used to investigate heterogeneity between the studies. Sensitivity and subgroup analyses were performed to ensure the robustness and validity of our findings. Different cumulative meta-analyses were conducted stratifying according to the year of publication and sample size. Any potential bias in publication was assessed carrying out the Egger’s test. >Results: LBW prevalence rate was estimated to be 8% (95%CI: 7-9) in Iran. Sensitivity analysis confirmed the stability of finding. Studies were cumulated by the year of publication, and the results did not change pre- and post-cumulative meta-analysis. No publication bias could be observed. >Conclusion: LBW prevalence rate in Iran is well comparable with the prevalence figures of both developed and developing countries. This could be due to the health reforms implemented in Iran throughout the years.
机译:>背景:低出生体重(LBW)是新生儿并发症的重要决定因素,代表着全球范围内的主要公共卫生问题。流行病学研究对于设计和实施针对该问题的临时干预措施,帮助和指导每个国家的决策者和政策制定者以通过估计患病率,识别和控制主要危险因素来预防婴儿低出生体重的流行至关重要。 。本次调查旨在系统地评估伊朗和其决定因素中的LBW患病率。 >方法:从开始到2016年11月,都通过Ovid,Embase,Web of Science和Scopus以及Magiran,SID和Irandoc搜索了PubMed / Medline。此外,还挖掘了灰色文献(通过Google Scholar) 。 DerSimonian-Laird模型得到了利用。 I2和Q检验用于研究研究之间的异质性。进行敏感性和亚组分析以确保我们发现的稳健性和有效性。根据出版年份和样本量,进行了不同的累积荟萃分析。进行Egger测试时,评估了出版物中的任何潜在偏见。 >结果:在伊朗,LBW患病率估计为8%(95%CI:7-9)。敏感性分析证实了这一发现的稳定性。截至发表时已对研究进行了累积,结果未改变累积前和累积后的荟萃分析。没有发现出版偏见。 >结论:伊朗的低出生体重患病率可与发达国家和发展中国家的患病率相媲美。这可能归因于多年来伊朗实施的卫生改革。

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