Tata- Cornell Institute for Agriculture and Nutrition, 5922Cornell University, Ithaca, NY, USA.
Department of Economics, 8243Bentley University, Waltham, MA, USA.
Food Nutr Bull. 2020 Sep;41(3):318-331. doi: 10.1177/0379572120943780. Epub 2020 Aug 3.
It is widely considered that women have less diverse diets than other household members. However, it has been challenging to establish this empirically since women's diet diversity is measured differently from that of other household members.
In this article, we compare women's dietary diversity with that of their respective households and thereby generate a measure of "dietary gap."
We measure women's "dietary gap" by using the difference of homogenized household and woman dietary scores (using the same scales). This is done using primary data on 3600 households from 4 districts in India. Additionally, we show the robustness of our results to variations in scale and recall periods used to construct the diet diversity scores.
Mean difference tests indicate that women consistently consume 0.1 to 0.5 fewer food groups relative to other household members, with the results being statistically significant at the 1% level. The food groups driving this dietary gap are nonstaples like Vitamin A-rich fruits and vegetables, meat/fish/poultry, and dairy.
Results point toward the discrimination faced by women in the variety of the food consumed, the importance of considering comparability in creating indices of diet diversity, and the need to collect more detailed information on diets. To our knowledge, this is one of the first studies to examine dietary discrimination faced by women using common scales.
人们普遍认为,女性的饮食种类比其他家庭成员的要少。然而,由于女性饮食多样性的衡量标准与其他家庭成员不同,因此很难从经验上证明这一点。
本文通过比较女性与各自家庭的饮食多样性,从而生成一种“饮食差距”的衡量方法。
我们使用家庭和女性饮食得分的差值(使用相同的量表)来衡量女性的“饮食差距”。这是利用印度 4 个地区 3600 户家庭的原始数据完成的。此外,我们还展示了我们的结果对构建饮食多样性得分所使用的量表和回忆期变化的稳健性。
均值差异检验表明,与其他家庭成员相比,女性摄入的食物种类平均少 0.1 到 0.5 种,结果在 1%的水平上具有统计学意义。导致这种饮食差距的食物种类是非主食类食物,如富含维生素 A 的水果和蔬菜、肉类/鱼类/禽类以及奶制品。
研究结果表明,女性在食物种类的多样性方面面临歧视,在创建饮食多样性指数时考虑可比性的重要性,以及收集更详细的饮食信息的必要性。据我们所知,这是首次使用常见量表来检验女性面临的饮食歧视的研究之一。