剖腹产和营养不良的双重负担:南亚和东南亚多国分析。

IF 3.1
Ashis Talukder, Matthew Kelly, Darren Gray, Haribondhu Sarma
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引用次数: 0

摘要

背景:在南亚和东南亚,剖腹产(c -剖宫产)的日益流行对孕产妇和儿童营养造成了潜在的公共卫生挑战。这些变化可能导致营养不良(DBM)的双重负担日益加重,即母亲超重/肥胖与儿童营养不足并存。本研究探讨了该地区三个国家剖宫产与家庭DBM之间的关系。了解这种联系是制定有效干预措施以改善孕产妇和儿童营养和减轻健康负担的关键。方法:我们分析了来自孟加拉国、柬埔寨和尼泊尔的2022年人口与健康调查(DHS)数据,包括年龄在15-49岁之间至少有一个孩子的女性,以及可用的营养和分娩方式数据。采用卡方检验、方差分析和双水平逻辑回归来评估剖腹产与DBM之间的关系。结果:在孟加拉国和尼泊尔,剖腹产分娩与DBM的风险显著增加有关。剖腹产后延迟开始母乳喂养进一步增加了这种风险。城市家庭的DBM率较高,而较长的母乳喂养时间具有保护作用。结论:为了减少DBM,政策应侧重于限制不必要的剖腹产,促进早期和持续的母乳喂养,并支持产妇产后健康,特别是在风险较高的城市地区。了解当地因素对有效干预至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Caesarean deliveries and double burden of malnutrition: a multicountry analysis in South and Southeast Asia.

Background: The increasing prevalence of caesarian section (C-section) births in South and Southeast Asia poses potential public health challenges by influencing maternal and child nutrition. These changes may contribute to the growing double burden of malnutrition (DBM), where maternal overweight/obesity coexists with child undernutrition. This study explores how C-section deliveries are linked to household-level DBM in three countries in this region. Understanding this link is key for developing effective interventions to improve maternal and child nutrition and reduce health burdens.

Methods: We analysed 2022 Demographic and Health Survey (DHS) data from Bangladesh, Cambodia, and Nepal, including women aged 15-49 with at least one child, with available nutritional and delivery mode data. Chi-square tests, analysis of variance, and two-level logistic regression were used to assess the association between C-sections and DBM.

Results: C-section deliveries were linked to a significantly higher risk of DBM in Bangladesh and Nepal. Delayed breastfeeding initiation after C-section further increased this risk. Urban households showed higher DBM rates, while longer breastfeeding duration was protective.

Conclusion: To reduce DBM, policies should focus on limiting unnecessary C-sections, promoting early and sustained breastfeeding, and supporting maternal postpartum health-especially in urban areas where risks are higher. Understanding local factors is crucial for effective interventions.

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