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OP133 The relationship between food aid interventions and food insecurity, diet quality and mental health in households with children in high-income countries: a systematic review

2023· review· en· W4386127823 on OpenAlexaboutno aff
Charlotte Stahacz, Nida Ziauddeen, Elizabeth Taylor, Dianna Smith, Nisreen A Alwan

Bibliographic record

VenueSSM Annual Scientific Meeting · 2023
Typereview
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionCINAHLEnvironmental healthPsycINFOMedicineMental healthFood securityDisadvantagedMEDLINEGerontologyNursingGeographyEconomic growthPsychiatryPolitical scienceAgriculture

Abstract

fetched live from OpenAlex

Background People accessing food aid in high-income countries are often food insecure with a nutritionally inadequate diet. We aimed to systematically review and synthesise studies investigating the relationship between food aid interventions and food insecurity, diet quality and mental health in households with children under 18 years of age in high-income country settings. Methods A search was conducted electronically in Web of Science, MEDLINE, CINAHL and PsycINFO. Articles published from 1st January 2008 reporting quantitative outcomes, including cross-sectional, cohort and intervention studies in high-income countries were eligible for inclusion. For the purpose of this review, food aid was defined as food banks or other interventions providing free food items by community and/or charitable organisations. This included mobile pantries, home delivery of food parcels and school backpack programmes. Studies where at least some participants were from households with at least one child ≤ 18 years of age were included. The National Heart Lung and Blood Institute Assessment Tool was used to evaluate risk of bias in the included studies. Results The search identified 10,394 records, of which 3,414 were duplicates. Abstracts for 278 records were screened leaving 25 papers for full-text screening. Nine papers were included in this review from the USA and Canada. Outcomes assessed were highly heterogenous. A food parcel delivery randomised control trial was rated as good for the quality assessment. Four studies were rated as fair and three as poor due to factors such as convenience sampling and high attrition. Significant improvements in food security were reported by using food banks located in community resource centres providing additional integrated health and social support and with client choice-based models. Diet quality was significantly improved in a food parcel delivery intervention and observed in a cross-sectional study for participants accessing food aid. A non-significant increase of fruit and vegetables was also reported in a mobile pantry with free children’s lunch programme. Only one study observed greater odds of consuming foods with added sugar with higher frequency of food bank use. A small but significant improvement in mental health score was reported between baseline and the end of an 18-month cohort study. Conclusion Diet quality was improved by accessing food aid in a few studies. Food insecurity generally remains persistent, with many households relying on food aid in the long term. Providing choice and further social support appears to have greater positive outcomes and should be integrated into current food aid interventions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.047
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.007
Bibliometrics0.0130.016
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.324
GPT teacher head0.497
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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