Koppmair Stefan, Kassie Menale, Qaim Matin
1Department of Agricultural Economics and Rural Development,Georg-August-University of Goettingen,Platz der Göttinger Sieben 5,37073 Goettingen,Germany.
2International Centre of Insect Physiology and Ecology (ICIPE),Nairobi,Kenya.
Public Health Nutr. 2017 Feb;20(2):325-335. doi: 10.1017/S1368980016002135. Epub 2016 Sep 9.
The association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed.
A survey of smallholder farm households was carried out in Malawi in 2014. Dietary diversity scores are calculated from 24 h recall data. Production diversity scores are calculated from farm production data covering a period of 12 months. Individual- and household-level regression models are developed and estimated.
Data were collected in sixteen districts of central and southern Malawi.
Smallholder farm households (n 408), young children (n 519) and mothers (n 408).
Farm production diversity is positively associated with dietary diversity. However, the estimated effects are small. Access to markets for buying food and selling farm produce and use of chemical fertilizers are shown to be more important for dietary diversity than diverse farm production. Results with household- and individual-level dietary data are very similar.
Further increasing production diversity may not be the most effective strategy to improve diets in smallholder farm households. Improving access to markets, productivity-enhancing inputs and technologies seems to be more promising.
近期分析了农村小农户家庭农业生产多样性与饮食多样性之间的关联。大多数现有研究基于通过7天食物消费回忆计算得出的家庭层面饮食多样性指标。在此,利用个体层面的24小时回忆数据重新审视这种关联。通过比较家庭层面和个体层面的估计值来检验结果的稳健性。还分析了其他可能影响饮食多样性的因素的作用,如市场准入和农业技术。
2014年在马拉维对小农户家庭进行了一项调查。根据24小时回忆数据计算饮食多样性得分。根据涵盖12个月期间的农业生产数据计算生产多样性得分。建立并估计了个体层面和家庭层面的回归模型。
在马拉维中部和南部的16个区收集了数据。
小农户家庭(n = 408)、幼儿(n = 519)和母亲(n = 408)。
农业生产多样性与饮食多样性呈正相关。然而,估计的影响较小。事实表明,对于饮食多样性而言,购买食物和销售农产品的市场准入以及化肥的使用比多样化的农业生产更为重要。家庭层面和个体层面饮食数据的结果非常相似。
进一步增加生产多样性可能不是改善小农户家庭饮食的最有效策略。改善市场准入、提高生产力的投入和技术似乎更具前景。