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肯尼亚和马里的气候、出生体重与农业生计。

Climate, Birth Weight, and Agricultural Livelihoods in Kenya and Mali.

机构信息

Maryia Bakhtsiyarava is a PhD student with the Department of Geography, Environment, and Society, University of Minnesota, and Minnesota Population Center, Minneapolis. Kathryn Grace is also with the Department of Geography, Environment, and Society, University of Minnesota, and Minnesota Population Center. At the time of study, Raphael J. Nawrotzki was with the University of Minnesota and Minnesota Population Center, Minneapolis.

出版信息

Am J Public Health. 2018 Apr;108(S2):S144-S150. doi: 10.2105/AJPH.2017.304128. Epub 2017 Oct 26.

Abstract

OBJECTIVES

To examine an association between climate variability and birth weight in Mali and Kenya in relation to the local agricultural specialization.

METHODS

We combined health and sociodemographic data from the Demographic Health Surveys for Kenya (2008 and 2014) and Mali (2006 and 2012) with detailed data on precipitation, temperature, and vegetation. We analyzed the association between climate variability and birth weight by using multilevel regression models for the most common agricultural specializations: food cropping, cash cropping, and pastoralism.

RESULTS

There are differences in sensitivity to climate among different agricultural communities. An additional 100 millimeters of rainfall during the 12-month period before birth was associated with a 47-gram (P = .001) and 89-gram (P = .10) increase in birth weight for food croppers in Kenya and Mali, respectively. Every additional hot month in food-cropping communities in Kenya was associated with a 71-gram decrease in birth weight (P = .030), likely because of food croppers' limited use of modern agricultural techniques. Overall, cash croppers are least sensitive to climate variability in both countries.

CONCLUSIONS

Effective climate change adaptation strategies are essential for protecting and improving health outcomes and should be tailored to local households' livelihood strategies.

摘要

目的

探讨马里和肯尼亚的气候变异性与出生体重之间的关系,以当地农业专业化为背景。

方法

我们结合了肯尼亚(2008 年和 2014 年)和马里(2006 年和 2012 年)的人口健康与社会经济调查数据,以及降水、温度和植被的详细数据。我们使用多水平回归模型分析了最常见的农业专业化(粮食作物种植、经济作物种植和畜牧业)与气候变异性和出生体重之间的关联。

结果

不同农业社区对气候的敏感性存在差异。在出生前的 12 个月内,降雨量增加 100 毫米,肯尼亚和马里的粮食作物种植者的出生体重分别增加了 47 克(P=0.001)和 89 克(P=0.10)。肯尼亚的粮食种植社区每增加一个炎热的月份,出生体重就会减少 71 克(P=0.030),这可能是因为粮食种植者对现代农业技术的使用有限。总体而言,在这两个国家,经济作物种植者对气候变率的敏感性最低。

结论

有效的气候变化适应策略对于保护和改善健康结果至关重要,应根据当地家庭的生计策略进行调整。

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