Suppr超能文献

在孟加拉国农村,产妇身材矮小和体重不足是早产和小于胎龄儿的独立危险因素。

Maternal short stature and under-weight status are independent risk factors for preterm birth and small for gestational age in rural Bangladesh.

机构信息

Department of International Health, International Center for Maternal and Newborn Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Department of Pediatric Newborn Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.

出版信息

Eur J Clin Nutr. 2019 May;73(5):733-742. doi: 10.1038/s41430-018-0237-4. Epub 2018 Jun 22.

Abstract

BACKGROUND/OBJECTIVES: To estimate the risks of term-small for gestational age (SGA), preterm-appropriate for gestational age (AGA), and preterm SGA associated with maternal height and body mass index (BMI) and to calculate the population attributable fractions (PAF) of term SGA, preterm AGA, and preterm SGA associated with maternal short stature.

SUBJECTS/METHODS: A population-based cohort of 13,230 women with pre-pregnancy height and weight followed from 2012 to 2016 in Sylhet, Bangladesh. We analyzed data of 2655 singleton live born infants. The babies born <37 weeks of gestation were considered preterm and weight <10th percentile of Intergrowth sex-specific gestational age were considered SGA. Risk factors for term SGA, preterm AGA, and preterm SGA were examined using multinomial logistic regression that estimated relative risk ratios (RRR) and 95% confidence intervals (CI).

RESULTS

Maternal short stature <145 cm was significantly associated with term SGA (RRR 1.88, 95% CI 1.37, 2.58; p < 0.001), preterm AGA (RRR 1.45, 95% CI 1.02, 2.05; p < 0.05), and preterm SGA (RRR 14.40, 95% CI 1.82, 113.85; p < 0.05). Maternal underweight status (BMI < 18.5 kg/m) was significant predictor of term SGA (RRR 1.32, 95% CI 1.10, 1.59; p < 0.01), and preterm AGA (RRR 1.39, 95% CI 1.12, 1.71; p < 0.01). PAF for maternal short stature were 23.2, 7.3, and 73.9% for term SGA, preterm AGA, and preterm SGA, respectively.

CONCLUSIONS

To address the problem of undernutrition, Bangladesh needs to strengthen implementation of its multi-sectoral nutrition program comprising nutrition specific and sensitive interventions. Implementation of the program with high coverage and quality would improve maternal nutrition and perinatal outcomes including preterm births and SGA.

摘要

背景/目的:评估母亲身高和体重指数(BMI)与足月小样儿(SGA)、足月适当胎龄(AGA)和早产 SGA 相关的风险,并计算与母亲身材矮小相关的足月 SGA、早产 AGA 和早产 SGA 的人群归因分数(PAF)。

受试者/方法:本研究为 2012 年至 2016 年在孟加拉国锡尔赫特进行的一项基于人群的队列研究,共纳入了 13230 名有孕前身高和体重的女性。我们分析了 2655 名单胎活产婴儿的数据。<37 周分娩的婴儿被认为是早产,体重<第 10 百分位数的特定性别的宫内生长的婴儿被认为是 SGA。使用多变量逻辑回归分析来评估足月 SGA、早产 AGA 和早产 SGA 的危险因素,估计相对风险比(RRR)和 95%置信区间(CI)。

结果

身高<145cm 的母亲矮小与足月 SGA(RRR 1.88,95%CI 1.37,2.58;p<0.001)、早产 AGA(RRR 1.45,95%CI 1.02,2.05;p<0.05)和早产 SGA(RRR 14.40,95%CI 1.82,113.85;p<0.05)显著相关。母亲体重不足(BMI<18.5kg/m)是足月 SGA(RRR 1.32,95%CI 1.10,1.59;p<0.01)和早产 AGA(RRR 1.39,95%CI 1.12,1.71;p<0.01)的显著预测因素。母亲矮小的 PAF 分别为足月 SGA、早产 AGA 和早产 SGA 的 23.2%、7.3%和 73.9%。

结论

为了解决营养不良问题,孟加拉国需要加强实施其多部门营养计划,包括营养特定和敏感的干预措施。高覆盖率和高质量的实施该计划将改善孕产妇营养和围产期结局,包括早产和 SGA。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9550/8262449/e190348ac606/nihms-1712347-f0001.jpg

相似文献

引用本文的文献

1
Effects of Maternal Prepregnancy Nutritional Status on Pregnancy Outcomes.孕前母体营养状况对妊娠结局的影响。
Emerg Med Int. 2025 May 30;2025:1502902. doi: 10.1155/emmi/1502902. eCollection 2025.
3
The Enterics for Global Health (EFGH) Surveillance Study in Bangladesh.孟加拉国全球健康肠道病原体监测研究(EFGH)
Open Forum Infect Dis. 2024 Mar 25;11(Suppl 1):S76-S83. doi: 10.1093/ofid/ofad653. eCollection 2024 Mar.

本文引用的文献

8
Maternal Height and Preterm Birth: A Study on 192,432 Swedish Women.母亲身高与早产:对192,432名瑞典女性的研究。
PLoS One. 2016 Apr 21;11(4):e0154304. doi: 10.1371/journal.pone.0154304. eCollection 2016.
9
Stunting at 5 Years Among SGA Newborns.小于胎龄儿(SGA)新生儿5岁时的发育迟缓情况。
Pediatrics. 2016 Feb;137(2):e20152636. doi: 10.1542/peds.2015-2636. Epub 2016 Jan 15.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验