1Poverty,Health and Nutrition Division,International Food Policy Research Institute,2033 K Street NW,Washington,DC 20006-1002,USA.
2Public Health Foundation of India,New Delhi,India.
Public Health Nutr. 2018 Sep;21(13):2424-2433. doi: 10.1017/S1368980018000903. Epub 2018 Apr 12.
Anaemia is a major contributor to the global disease burden and half of pregnant women in India were anaemic in 2016. The aetiology of anaemia is complex, yet anaemia determinants are frequently examined in isolation. We sought to explore how shifts in sociodemographic (wealth, age at pregnancy, education, open defecation, cooking fuel type, household size), programmatic (iron-folic acid tablet consumption, antenatal care visits) and dietary factors (intake of Fe, folic acid, vitamin B12, phytate) predicted changes in anaemia prevalence.
Nutrient levels for eighty-eight food items were multiplied by household consumption of these foods to estimate household-level nutrient supply. A synthetic panel data set was created from two rounds of the District Level Household and Facility Survey (2002-04 and 2012-13) and Household Consumer Expenditures Survey (2004-05 and 2011-12). Ordinary least-squares multivariate regression models were used.
Districts (n 446) spanning north, north-east, central and south India.
Pregnant women aged 15-49 years (n 17 138).
In the model accounting for both non-dietary and dietary factors, increased age at pregnancy (P<0·001), reduced village-level open defecation (P=0·001), consuming more Fe (P<0·001) and folic acid (P=0·018) and less phytate (P=0·002), and urbanization (P=0·015) were associated with anaemia reductions. A 10 mg increase in daily household Fe supply from 2012 levels was associated with a 10 % reduction in anaemia.
Public health interventions to combat anaemia in pregnant women should use a holistic approach, including promotion of delayed marriage, construction and use of toilets, and measures that facilitate adoption of nutrient-rich diets.
贫血是全球疾病负担的主要原因之一,2016 年印度有一半的孕妇贫血。贫血的病因复杂,但贫血的决定因素经常被孤立地检查。我们试图探讨社会人口统计学(财富、怀孕年龄、教育、露天排便、烹饪燃料类型、家庭规模)、规划(铁叶酸片的消费、产前护理就诊次数)和饮食因素(铁、叶酸、维生素 B12、植酸盐的摄入量)的变化如何预测贫血患病率的变化。
将 88 种食物的营养素水平乘以家庭对这些食物的消费,以估计家庭层面的营养素供应。从两轮地区家庭和设施调查(2002-04 年和 2012-13 年)和家庭消费者支出调查(2004-05 年和 2011-12 年)创建了一个综合面板数据集。使用普通最小二乘多元回归模型。
印度北部、东北部、中部和南部的 446 个区。
年龄在 15-49 岁的孕妇(n=17138)。
在考虑非饮食和饮食因素的模型中,怀孕年龄增加(P<0·001)、减少村庄级别的露天排便(P=0·001)、摄入更多的铁(P<0·001)和叶酸(P=0·018)、减少植酸盐(P=0·002)以及城市化(P=0·015)与贫血减少相关。与 2012 年相比,家庭铁供应量每天增加 10 毫克,与贫血减少 10%相关。
针对孕妇贫血的公共卫生干预措施应采用整体方法,包括提倡晚婚、建造和使用厕所,以及采取措施促进营养丰富的饮食。