Evidence map›Paper›PMID 38929205›Full record

ArticleChildren (Basel, Switzerland)2024

Investigating the Association between Nutrient Intake and Food Insecurity among Children and Adolescents in Palestine Using Machine Learning Techniques.

Radwan Qasrawi, Sabri Sgahir, Maysaa Nemer, Mousa Halaikah, Manal Badrasawi, Malak Amro, Stephanny Vicuna Polo, Diala Abu Al-Halawa, Doa'a Mujahed, Lara Nasreddine and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

13 authors.

Radwan QasrawiDepartment of Computer Sciences, Al-Quds University, Jerusalem P.O. Box 20002, Palestine.ORCID 0000-0001-8671-7026
Sabri SgahirDepartment of Nutrition and Food Technology, College of Agriculture, Hebron University, Hebron P.O. Box 40, Palestine.
Maysaa NemerInstitute of Community and Public Health, Birzeit University, Ramallah P.O. Box 14, Palestine.ORCID 0000-0002-3156-4701
Mousa HalaikahNutrition Department, Ministry of Health, Ramallah P.O. Box 4284, Palestine.
Manal BadrasawiNutrition and Food Technology Department, Faculty of Agriculture and Veterinary Medicine, An-Najah National University, Nablus P.O. Box 7, Palestine.ORCID 0000-0003-4803-1052
Malak AmroDepartment of Computer Sciences, Al-Quds University, Jerusalem P.O. Box 20002, Palestine.
Stephanny Vicuna PoloDepartment of Computer Sciences, Al-Quds University, Jerusalem P.O. Box 20002, Palestine.ORCID 0000-0002-8308-6801
Diala Abu Al-HalawaFaculty of Medicine, Al-Quds University, Jerusalem P.O. Box 20002, Palestine.ORCID 0000-0001-5422-9781
Doa'a MujahedDepartment of Nutrition and Food Technology, College of Agriculture, Hebron University, Hebron P.O. Box 40, Palestine.
Lara NasreddineNutrition and Food Sciences Department, Faculty of Agriculture and Food Sciences, American University of Beirut, Beirut 1107 2020, Lebanon.
Ibrahim ElmadfaDepartment of Nutrition, Faculty of Life Sciences, University of Vienna, 1090 Vienna, Austria.
Siham AtariDepartment of Computer Sciences, Al-Quds University, Jerusalem P.O. Box 20002, Palestine.
Ayoub Al-JawaldehRegional Office for the Eastern Mediterranean, World Health Organization, Cairo 7608, Egypt.ORCID 0000-0001-7387-8277

Funding

World Health Organization 001
6 · The paper itself

Abstract

Food insecurity is a public health concern that affects children worldwide, yet it represents a particular burden for low- and middle-income countries. This study aims to utilize machine learning to identify the associations between food insecurity and nutrient intake among children aged 5 to 18 years. The study's sample encompassed 1040 participants selected from a 2022 food insecurity household conducted in the West Bank, Palestine. The results indicated that food insecurity was significantly associated with dietary nutrient intake and sociodemographic factors, such as age, gender, income, and location. Indeed, 18.2% of the children were found to be food-insecure. A significant correlation was evidenced between inadequate consumption of various nutrients below the recommended dietary allowance and food insecurity. Specifically, insufficient protein, vitamin C, fiber, vitamin B12, vitamin B5, vitamin A, vitamin B1, manganese, and copper intake were found to have the highest rates of food insecurity. In addition, children residing in refugee camps experienced significantly higher rates of food insecurity. The findings emphasize the multilayered nature of food insecurity and its impact on children, emphasizing the need for personalized interventions addressing nutrient deficiencies and socioeconomic factors to improve children's health and well-being.

Indexed as

childrenfood insecuritymachine learningnutrient intakesociodemographic factorssocioeconomic disparities

Identifiers

PMID38929205
PMCPMC11202236

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.