Evidence map›Paper›PMID 38760867›Full record

ArticleJournal of health, population, and nutrition2024

Predicting the short and long term effects of food price inflation, armed conflicts, and climate variability on global acute malnutrition in Somalia.

Jama Mohamed, Mukhtar Jibril Abdi, Ahmed Ismail Mohamed, Mohamed Aden Muhumed, Barkhad Aden Abdeeq, Abdinasir Ali Abdi, Mohamed Mussa Abdilahi, Dahir Abdi Ali

Abstract read
In one paragraph

Article in Journal of health, population, and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
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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

8 authors.

Jama MohamedFaculty of Statistics and Data Science, College of Applied and Natural Science, University of Hargeisa, Hargeisa, Somaliland. jama.mohamed@live.co.uk.ORCID 0000-0002-7504-7642
Mukhtar Jibril AbdiCenter for Ground and Surface Water Management, Hargeisa Water Agency, Hargeisa, Somaliland.
Ahmed Ismail MohamedFaculty of Nutrition and Food Science, College of Applied and Natural Science, University of Hargeisa, Hargeisa, Somaliland.
Mohamed Aden MuhumedDepartment of Planning, Ministry of Planning and Development, Hargeisa, Somaliland.
Barkhad Aden AbdeeqDepartment of Child Survival, Save the Children International, Hargeisa, Somaliland.
Abdinasir Ali AbdiCollege of Business and Public Administration, University of Hargeisa, Hargeisa, Somaliland.
Mohamed Mussa AbdilahiCollege of Medicine and Health Sciences, University of Hargeisa, Hargeisa, Somaliland.
Dahir Abdi AliFaculty of Economics, SIMAD University, Mogadishu, Somalia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalnutrition poses a substantial challenge in Somalia, impacting approximately 1.8 million children. This critical issue is exacerbated by a multifaceted interplay of factors. Consequently, this study seeks to examine the long-term and short-term effects of armed conflicts, food price inflation, and climate variability on global acute malnutrition in Somalia.

methodsThe study utilized secondary data spanning from January 2015 to December 2022, sourced from relevant databases. Two distinct analytical approaches were employed to comprehensively investigate the dynamics of global acute malnutrition in Somalia. Firstly, dynamic autoregressive distributed lag (ARDL) simulations were applied, allowing for a nuanced understanding of the short and long-term effects of armed conflicts, food price inflation, and climate variability on malnutrition. Additionally, the study employed kernel-based regularized least squares, a sophisticated statistical technique, to further enhance the robustness of the findings. The analysis was conducted using STATA version 17.

resultsIn the short run, armed conflicts and food price inflation exhibit positive associations with global acute malnutrition, particularly in conflict-prone areas and during inflationary periods. Moreover, climatic variables, specifically temperature and rainfall, demonstrate positive associations. It is important to note that temperature lacks a statistically significant relationship with global acute malnutrition in the short run. In the long run, armed conflicts and food price inflation maintain persistent impacts on global acute malnutrition, as confirmed by the dynamic ARDL simulations model. Furthermore, both temperature and rainfall continue to show positive associations with global acute malnutrition, but it is worth noting that temperature still exhibits a non-significant relationship. The results from kernel-based regularized least squares were consistent, further enhancing the robustness of the findings.

conclusionsIncreased armed conflicts, food price inflation, temperature, and rainfall were associated with increased global acute malnutrition. Strategies such as stabilizing conflict-prone regions, diplomatic interventions, and peace-building initiatives are crucial, along with measures to control food price inflation. Implementing climate adaptation strategies is vital to counter temperature changes and fluctuating rainfall patterns, emphasizing the need for resilience-building. Policymakers and humanitarian organizations can leverage these insights to design targeted interventions, focusing on conflict resolution, food security, and climate resilience to enhance Somalia's overall nutritional well-being.

Indexed as

Armed ConflictsMalnutritionClimateClimate ChangeCommerceFoodFood SupplyHumansInflation, EconomicSomaliaArmed conflictsClimate variabilityFood price inflationGlobal acute malnutritionSomalia

Identifiers

PMID38760867
PMCPMC11102243

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Registered trials

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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.