Is stunting in children under five associated with the state of vegetation in the Democratic Republic of the Congo? Secondary analysis of Demographic Health Survey data and the satellite-derived leaf area index.

CI, Confidence Interval DHA, Demographic and Health Survey DRC, the Democratic Republic of the Congo HAZ, Height-for-Age Z-score LAI, Leaf Area Index Leaf area index Nutrition OR, Odds Ration Stunting Vegetation

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Feb 2023
Historique:
received: 09 01 2022
revised: 26 01 2023
accepted: 30 01 2023
entrez: 23 2 2023
pubmed: 24 2 2023
medline: 24 2 2023
Statut: epublish

Résumé

The prevalence of stunting in the Democratic Republic of the Congo (DRC) is one of the highest globally. However, only a few studies have attempted to measure the association between stunting and vegetation, which is an important food source. The leaf area index (LAI) is an excellent measure for the vegetation state. This paper intended to measure the association between the LAI and stunting among children under five years of age in the DRC. Its aim was to better understand the boundary conditions of stunting and explore potential links to climate and environmental change. This paper adopts a secondary data analysis approach. We used data on 5241 children from the DRC Demographic Health Survey (DHS) 2013-2014, which was collected from a nationally representative cross-sectional survey. We used the satellite-derived LAI as a measure for the state of vegetation and created a 10-km buffer to extract each DHS cluster centroid's corresponding mean leaf-area value. We used a generalised mixed-effect logistic regression to measure the association between LAI and stunting, adjusting the model for mother's education, occupation and birth interval, as well as child's age and national wealth quintile. A height-for-age Z-score (HAZ) was calculated and classified according to WHO guidelines. Children in communities surrounded by high LAI values have lower odds of being stunted (OR [odds ratio] = 0.63; 95% CI [confidence interval] = 0.47-0.86) than those exposed to low LAI values. The association still holds when the exposure is analysed as a continuous variable (OR = 0.84; 95% CI = 0.74-0.95).When stratified in rural and urban areas, a significant association was only observed in rural areas (OR = 0.6; 95% CI = 0.39-0.81), but not in urban areas (OR = 0.9; 95% CI = 0.5-0.5). Furthermore, the study showed that these associations were robust to LAI buffer variations under 25 km. Good vegetation conditions have a protective effect against stunting in children under five years of age. Further advanced study designs are needed to confirm these findings.

Sections du résumé

Background UNASSIGNED
The prevalence of stunting in the Democratic Republic of the Congo (DRC) is one of the highest globally. However, only a few studies have attempted to measure the association between stunting and vegetation, which is an important food source. The leaf area index (LAI) is an excellent measure for the vegetation state.
Objective UNASSIGNED
This paper intended to measure the association between the LAI and stunting among children under five years of age in the DRC. Its aim was to better understand the boundary conditions of stunting and explore potential links to climate and environmental change.
Methods UNASSIGNED
This paper adopts a secondary data analysis approach. We used data on 5241 children from the DRC Demographic Health Survey (DHS) 2013-2014, which was collected from a nationally representative cross-sectional survey. We used the satellite-derived LAI as a measure for the state of vegetation and created a 10-km buffer to extract each DHS cluster centroid's corresponding mean leaf-area value. We used a generalised mixed-effect logistic regression to measure the association between LAI and stunting, adjusting the model for mother's education, occupation and birth interval, as well as child's age and national wealth quintile. A height-for-age Z-score (HAZ) was calculated and classified according to WHO guidelines.
Results UNASSIGNED
Children in communities surrounded by high LAI values have lower odds of being stunted (OR [odds ratio] = 0.63; 95% CI [confidence interval] = 0.47-0.86) than those exposed to low LAI values. The association still holds when the exposure is analysed as a continuous variable (OR = 0.84; 95% CI = 0.74-0.95).When stratified in rural and urban areas, a significant association was only observed in rural areas (OR = 0.6; 95% CI = 0.39-0.81), but not in urban areas (OR = 0.9; 95% CI = 0.5-0.5). Furthermore, the study showed that these associations were robust to LAI buffer variations under 25 km.
Conclusions UNASSIGNED
Good vegetation conditions have a protective effect against stunting in children under five years of age. Further advanced study designs are needed to confirm these findings.

Identifiants

pubmed: 36820029
doi: 10.1016/j.heliyon.2023.e13453
pii: S2405-8440(23)00660-6
pmc: PMC9937978
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e13453

Informations de copyright

© 2023 The Authors. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Freddy Bangelesa (F)

Kinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Congo.
Institute of Geography and Geology, University of Wuerzburg, Am Hubland, 97074, Wuerzburg, Germany.

Anne Hatløy (A)

Centre for International Health, University of Bergen, Bergen, Norway.
Fafo Institute for Labour and Social Research, Oslo, Norway.

Branly Kilola Mbunga (BK)

Kinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Congo.

Paulin B Mutombo (PB)

Kinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Congo.

Mwanack Kakule Matina (MK)

Research Center of the CHU de Québec-Université Laval, Population Health and Optimal Practices Research Unit (Trauma-Emergency-Critical Care Medicine), Quebec City, Canada.

Pierre Z Akilimali (PZ)

Kinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Congo.

Heiko Paeth (H)

Institute of Geography and Geology, University of Wuerzburg, Am Hubland, 97074, Wuerzburg, Germany.

Mala Ali Mapatano (MA)

Kinshasa School of Public Health, Faculty of Medicine, University of Kinshasa, Kinshasa, Congo.

Classifications MeSH