Evidence map›Paper›PMID 38027789›Full record

ArticleHeliyon2023

Takes more than two to tango: Intrahousehold food system agency and its intricacies in South Africa.

Saul Ngarava

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 17% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

1 author.

Saul NgaravaCopernicus Institute of Sustainable Development, Vening Meinesz Building A, 8a Princeton Avenue, 3584 CB, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intra-household food system agency is affected by individual physiology, environmental diversity, variations in social conditions, relational perspectives and distribution within families, resulting in differing capabilities and functionings which have a bearing on welfare. The study used the capability approach to assess intrahousehold food system agency, its determinants and welfare impact, taking a cross-sectional survey of 1184 households from three heterogenous study sites in South Africa. Poisson count regression, Propensity Score Matching and Monte Carlo Simulations were used in the study. Duration of stay within the community, tenure, employment status and household size were significant in the number of intrahousehold food system decisions made by female heads and none-nuclear family members, with however overall reduction in number of decisions made. Yet, when female heads showed agency in agricultural production and food expenditure, food security improved by 5 % and 6 %, respectively. On the other hand, it is reduced by between 4 % and 5 % for none-nuclear family members. Duration of stay in the community and age of household head had the highest contribution to agency variation. In conclusion, there are varied intrahousehold food system decisions made by various members of the households, resulting in varying degrees of food security. In addition, variations in the socio-economic factors of the households result in varied agency, especially for female household heads and other none-nuclear family members. Female-head intrahousehold food system agency should be promoted in lieu of their positive impact on food security, and their reduced decision-making capacity in hindsight.

Indexed as

AgencyCapability approachIntrahouseholdMonte Carlo simulationPoisson regressionPropensity score matchingSouth Africa

Identifiers

PMID38027789
PMCPMC10661508
OpenAlexW4388571741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.