Are Women in Rural India Really Consuming a Less Diverse Diet?

被引:23
作者
Gupta, Soumya [1 ]
Sunder, Naveen [2 ]
Pingali, Prabhu L. [1 ]
机构
[1] Cornell Univ, Tata Cornell Inst Agr & Nutr, Ithaca, NY 14850 USA
[2] Bentley Univ, Dept Econ, Waltham, MA 02452 USA
关键词
diet diversity; women; India; food intake; food policy; maternal and child nutrition; FOOD SECURITY; GENDER INEQUALITY; FARM PRODUCTION; ASSOCIATION; NUTRITION; BANGLADESH; ALLOCATION; CHILDREN; ADEQUACY; QUALITY;
D O I
10.1177/0379572120943780
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Background: 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. Objective: In this article, we compare women's dietary diversity with that of their respective households and thereby generate a measure of "dietary gap." Methods: 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. Results: 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. Conclusions: 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.
引用
收藏
页码:318 / 331
页数:14
相关论文
共 45 条
[1]  
Anderson J., 2016, Smallholder diaries. Access to mobile phones and use of digital financial tools. Building the evidence-base with farming families in Mozambique, Tanzania
[2]  
[Anonymous], 2011, Guidelines for measuring household and individual dietary diversity
[3]   Dietary diversity is associated with child nutritional status: Evidence from 11 Demographic and Health Surveys [J].
Arimond, M ;
Ruel, MT .
JOURNAL OF NUTRITION, 2004, 134 (10) :2579-2585
[4]   Very Low Adequacy of Micronutrient Intakes by Young Children and Women in Rural Bangladesh Is Primarily Explained by Low Food Intake and Limited Diversity [J].
Arsenault, Joanne E. ;
Yakes, Elizabeth A. ;
Islam, M. Munirul ;
Hossain, Mohammad B. ;
Ahmed, Tahmeed ;
Hotz, Christine ;
Lewis, Bess ;
Rahman, Ahmed Shafiqur ;
Jamil, Kazi M. ;
Brown, Kenneth H. .
JOURNAL OF NUTRITION, 2013, 143 (02) :197-203
[5]   Are Girls the Fairer Sex in India? Revisiting Intra-Household Allocation of Education Expenditure [J].
Azam, Mehtabul ;
Kingdon, Geeta Gandhi .
WORLD DEVELOPMENT, 2013, 42 :143-164
[6]   Gender Inequality Issues in India [J].
Batra, Renu ;
Reio, Thomas G., Jr. .
ADVANCES IN DEVELOPING HUMAN RESOURCES, 2016, 18 (01) :88-101
[7]  
Bhagowalia P., 2012, AGR INCOME NUTR LINK
[8]   Gender bias among children in India in their diet and immunisation against disease [J].
Borooah, VK .
SOCIAL SCIENCE & MEDICINE, 2004, 58 (09) :1719-1731
[9]   Build it back better: Deconstructing food security for improved measurement and action [J].
Coates, Jennifer .
GLOBAL FOOD SECURITY-AGRICULTURE POLICY ECONOMICS AND ENVIRONMENT, 2013, 2 (03) :188-194
[10]   How can can we better capture food away from Home? Lessons from India's linking person-level meal and household-level food data [J].
Fiedler, John L. ;
Yadav, Suryakant .
FOOD POLICY, 2017, 72 :81-93