Evidence map›Paper›PMID 38542699›Full record

ArticleNutrients2024

A Neoteric Paradigm to Improve Food Security: The Predictors of Women's Influence on Egocentric Networks' Food Waste Behaviors.

Karissa Palmer, Robert Strong, Chanda Elbert

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Karissa PalmerDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-3595-5213
Robert StrongDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-5279-4808
Chanda ElbertDepartment of Agricultural Leadership, Education and Communications, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-6115-6410

Funding

National Institute of Food and Agriculture TEX 09890
6 · The paper itself

Abstract

COVID-19, the most recent multi-dimensional global food crisis, challenged leadership and impacted individuals' personal networks. Two cross-sectional surveys were disseminated to women involved in their state's women's leadership committee to understand food waste behaviors. An egocentric network analysis was chosen as the methodology to better understand personal advice network characteristics and examine the impacts of Farm Bureau women's leadership committee members' advice networks on their food waste behavior. A multilevel model was conducted to identify factors related to respondents leading their network members toward positive food waste decisions. Independent variables included in the variables at the individual (e.g., each respondent's race, generation), dyadic (e.g., length respondent has known each member of her network), and network levels (e.g., proportion of the respondent's network that was female) were included in the model. Women were more likely to report connections with people they led to positive food waste behaviors and food security when: they had higher food waste sum scores, they were part of Generation X, the network member they led to more positive food waste behaviors was a friend, and if there were fewer women in their advice networks.

Indexed as

Food Loss and WasteRefuse DisposalCross-Sectional StudiesFemaleFoodFood SecurityHumansFood Loss and Wasteadvice networksFarm Bureaufood sustainabilityfood systemsGeneration Xno povertyopinion leadershipsustainable communitiessustainable development goals (SDGs)zero hunger

Identifiers

PMID38542699
PMCPMC10975156

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.