Evidence map›Paper›PMID 31307415›Full record

ArticleBMC public health2019

Innovative matrix for applying a food systems approach for developing interventions to address nutrient deficiencies in indigenous communities in India: a study protocol.

Suparna Ghosh-Jerath, Shauna Downs, Archna Singh, Santanu Paramanik, Gail Goldberg, Jessica Fanzo

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Suparna Ghosh-JerathIndian Institute of Public Health-Delhi, Public Health Foundation of India, Plot no 47, Sector 44, Institutional Area, Gurgaon, 122002, India. suparna.ghoshj@iiphd.org.ORCID http://orcid.org/0000-0002-2229-4455
Shauna DownsDepartment of Health Systems and Policy, Rutgers School of Public Health, Rm. 426, 112 Paterson, St. New Brunswick, NJ, 08901, Canada.
Archna SinghAll India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Santanu ParamanikNational Council of Applied Economic Research (NCAER), Parisita Bhawan, 11 Indraprastha Estate, New Delhi, 110002, India.
Gail GoldbergNutrition and Bone Health Research Group, MRC Human Nutrition Research, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, CB1 9NL, UK.
Jessica FanzoDepartment of International Health, Johns Hopkins Bloomberg School of Public, Health Berman Institute of Bioethics, Johns Hopkins Nitze School of Advanced International Studies, 1809 Ashland Avenue, Baltimore, MD, 21205, USA.

Funding

DBT India Alliance IA/CPHI/16/1/502639DBT-Wellcome Trust India Alliance IA/CPHI/16/1/502639Wellcome Trust
6 · The paper itself

Abstract

backgroundIndigenous communities retain knowledge of the land and food resources rooted in historical continuity within their region of residence. Food systems research can be leveraged to identify strategies to encourage sustainable use of complex multi-species agroforestry systems by indigenous communities contributing to nutritional needs while simultaneously preserving the ecosystems and their benefits to society. Till date, the analyses of food systems have predominantly focused on high income countries often overlooking the alternatives (dietary and production) that would be most relevant to low and middle income countries (LMIC). Thus, innovative methodological approaches are needed to comprehensively characterize diverse food systems in LMICs with special reference to indigenous communities.

designThis protocol paper describes a food systems approach that will be employed to understand diverse and dynamic food systems of vulnerable tribal communities of Jharkhand, India and leverage their agroforestry systems to improve dietary diversity, nutrition status and address food security. Four tribal groups namely Santhal, Ho, Munda and Sauria Paharia of Godda, West Singhbhum and Khunti districts of Jharkhand would be studied. This will be an exploratory cross-sectional study design, along with a longitudinal component to capture seasonality in dietary intake and agricultural diversity. A mixed methods approach will be used based on a conceptual framework on drivers of food systems, food supply chain, food environment (both wild & cultivated, and market food environments), as well as consumer behaviour and maternal and child health outcomes in tribal communities. The quantitative surveys will be conducted on socio-economic, demographic profile of households, their availability of, access to and utilization of food environment and nutritional status of reproductive age group women and children under 5 years. Qualitative enquiries will examine barriers and facilitators to increase sustainable production, procurement and consumption of indigenous foods. The final outcome would be development of interventions to promote indigenous food consumption. DISCUSSION: By utilizing a combination of value chain analysis and 'Optifoods linear programming software' that will use above information on indigenous community, dietary intake, nutritional status and food environment, evidence based interventions promoting indigenous food systems aimed at addressing food and nutritional security of tribal communities will be developed.

Indexed as

Population GroupsAdultChild, PreschoolCross-Sectional StudiesDiffusion of InnovationFemaleFood SupplyHumansIndiaInfantMalnutritionSystems AnalysisFood systems researchIndigenous communitiesIndigenous foodsNutritional deficiencies

Identifiers

PMID31307415
PMCPMC6631988

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.