Evidence map›Paper›PMID 40185873›Full record

ArticleScientific reports2025

Maternal nutrition literacy and childhood obesity in food-insecure and secure households.

Maral Hashemzadeh, Masoumeh Akhlaghi, Kiana Nabizadeh, Asma Kazemi, Hamid Heidarian Miri

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

5 authors.

Maral HashemzadehDepartment of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Masoumeh AkhlaghiDepartment of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Kiana NabizadehDepartment of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.
Asma KazemiNutrition Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. kazemiasma66@gmail.com.
Hamid Heidarian MiriSchool of Food and Nutritional Sciences, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined whether maternal nutrition knowledge could help reduce the risk of obesity in children from food-insecure households compared to those from food-secure households. This cross-sectional study was performed on 327 mothers and their children. The children, aged 6-12 years, were recruited from primary schools throughout Shiraz, Iran. Food-insecurity and nutrition literacy were assessed using the Household Food-insecurity Access Scale (HFIAS) and a 60-item Food and Nutrition Literacy Assessment Tool (FNLAT), respectively. Logistic regression models were used to examine the association between children's overweight/obesity and maternal food and nutritional literacy (FNL) across food-secure households and those facing varying degrees of food-insecurity. One hundred thirty-three participants were classified as mild, 28 as moderate, and 7 as severely food-insecure. The results showed that maternal FNL was significantly associated with a reduced risk of overweight/obesity in children (odds ratio (OR) 0.29, 95% confidence intervals (CI) 0.17-0.51). Only moderate/severe food-insecurity was associated with overweight/obesity (OR 4.64, 95% CI 1.75-12.29). Both in food-secure and food-insecure households, good FNL was associated with a significant reduction in overweight/obesity risk compared to poor FNL. The findings suggest that nutrition education programs may be particularly beneficial for children living in food-insecure households, and that these programs should be tailored to address the specific needs of this population.

Indexed as

Food InsecurityHealth LiteracyMothersPediatric ObesityAdultChildCross-Sectional StudiesFamily CharacteristicsFemaleHumansIranMaleChildhood obesityCross-sectional studyFood and nutrition literacyFood-insecurityHealth improvementIranNutrition knowledge

Identifiers

PMID40185873
PMCPMC11971403

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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.