Evidence map›Paper›PMID 29930896›Full record

ReviewGlobal food security2018

Pathways from women's group-based programs to nutrition change in South Asia: A conceptual framework and literature review.

Neha Kumar, Samuel Scott, Purnima Menon, Samyuktha Kannan, Kenda Cunningham, Parul Tyagi, Gargi Wable, Kalyani Raghunathan, Agnes Quisumbing

Abstract readReview
In one paragraph

Review in Global food security, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
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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

41 citing papers in PubMed, 2 syntheses or guidelines 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

9 authors.

Neha KumarInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.
Samuel ScottInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.
Purnima MenonInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.
Samyuktha KannanInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.
Kenda CunninghamHelen Keller International, Kathmandu, Nepal.
Parul TyagiUniversity of Glasgow, Scotland, UK.
Gargi WableProgram in International Nutrition, Division of Nutritional Sciences, Cornell University, Ithaca, New York, USA.
Kalyani RaghunathanInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.
Agnes QuisumbingInternational Food Policy Research Institute, Poverty Health and Nutrition Division, Washington DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving the nutritional status of women and children in South Asia remains a high public health and development priority. Women's groups are emerging as platforms for delivering health- and nutrition-oriented programs and addressing gender and livelihoods challenges. We propose a framework outlining pathways through which women's group participation may facilitate improvements in nutrition. Evidence is summarized from 36 studies reporting on 24 nutritional indicators across infant and young child feeding (IYCF) practices, intake/diet, and anthropometry. Our findings suggest that women's group-based programs explicitly triggering behavior change pathways are most successful in improving nutrition outcomes, with strongest evidence for IYCF practices. Future investigators should link process and impact evaluations to better understand the pathways from women's group participation to nutritional impact.

Identifiers

PMID29930896
PMCPMC6004534

What OpenQuestion holds

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LicenceCC BY
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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.