Evidence map›Paper›PMID 31622152›Full record

ArticleAmerican journal of public health2019

Alternatives to SNAP: Global Approaches to Addressing Childhood Poverty and Food Insecurity.

Lia C H Fernald, Wendi Gosliner

Abstract read
In one paragraph

Article in American journal of 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.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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.

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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

2 authors.

Lia C H FernaldLia C. H. Fernald is with the School of Public Health, University of California, Berkeley. Wendi Gosliner is with the Nutrition Policy Institute, University of California, Division of Agriculture and Natural Resources, Berkeley.
Wendi GoslinerLia C. H. Fernald is with the School of Public Health, University of California, Berkeley. Wendi Gosliner is with the Nutrition Policy Institute, University of California, Division of Agriculture and Natural Resources, Berkeley.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Supplemental Nutrition Assistance Program (SNAP) in the United States is a key element of the nation's safety net. Yet, 12.5 million US children live in households that experience food insecurity, despite national spending of $65 billion on SNAP alone.In analyses integrating data from the 36 Organisation for Economic Co-operation and Development (OECD) countries, we found that child poverty and food insecurity are much higher in the United States than in most of the other OECD countries. The United States has higher total social spending than other OECD countries, but a lower rate of spending on children and families. This international comparison suggests that potentially effective solutions implemented in other countries might help further alleviate US childhood poverty and food insecurity.Broadly, we recommend increasing investments in families with children, particularly low-income families. Our specific recommendations include increasing SNAP benefits, establishing additional benefits to support low-income families with young children, and implementing a universal child allowance. Achieving substantial reductions in child poverty and food insecurity will require overcoming many challenges, including the current US political climate, a national history of underinvestment in social programs, a lack of political will, and a culture of structural racism.

Indexed as

Family CharacteristicsPovertyChild HealthFood AssistanceFood SupplyGlobal HealthHumansPoliticsPublic AssistanceRisk FactorsUnited States

Identifiers

PMID31622152
PMCPMC6836775

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.