title: Mainstreaming nutrition metrics in household surveys--toward a multidisciplinary convergence of data systems.
abstract: Since the 2008 food price crisis, food and nutrition security are back on the global development agenda, with particular emphasis on agricultural pathways toward improved nutrition. Parallel efforts are being promoted to improve the data and metrics for monitoring progress toward positive nutritional outcomes, especially for women and children. Despite the increased investment in tracking nutritional outcomes, these efforts are often made in silos, which create challenges for integrating nutritional data with other sectoral data, such as those related to agriculture. This paper proposes a minimum set of nutrition indicators to be included in nationally representative agricultural (and multitopic) household surveys. Building multisectoral convergence across existing surveys will allow us to better identify priority interventions and to monitor progress toward improved nutrition targets.
authors.affiliation: Charles H. Dyson School of Applied Economics and Management, Cornell University, Ithaca, New York.
authors.forename: Prabhu L
authors.initials: PL
authors.lastname: Pingali
authors.affiliation: Charles H. Dyson School of Applied Economics and Management, Cornell University, Ithaca, New York.
authors.forename: Katie D
authors.initials: KD
authors.lastname: Ricketts
mesh_terms: D000383:Agriculture; D000886:Anthropometry; D002648:Child; D003625:Data Collection; D004032:Diet; D005191:Family Characteristics; D005260:Female; D005502:Food; D005523:Food Supply; D014943:Global Health; D006801:Humans; D007182:Income; D009749:Nutrition Surveys / Q000592:standards*; D052756:Nutritional Sciences; D009752:Nutritional Status; D012499:Sanitation; D014480:United Nations
keywords: agriculture; diet diversity scores; household surveys; nutrition metrics