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      The Impact of Rainfall Variability on Diets and Undernutrition of Young Children in Rural Burkina Faso

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          Abstract

          Background: Climate change and consequent increases in rainfall variability may have negative consequences for the food production of subsistence farmers in West Africa with adverse impacts on nutrition and health. We explored the pathway from rainfall through diet up to child undernutrition for rural Burkina Faso.

          Methods: The study used data of a dynamic cohort with 1,439 children aged 7–60 months from the Nouna Health and Demographic Surveillance Site (HDSS) for 2017 to 2019. We assessed data on diets, height, weight, household characteristics, and daily precipitation (from 1981 to 2019). Principal component analysis was used to identify distinct child dietary patterns (Dietary Pattern Scores, DPS). These were related to 15 rainfall indicators by area to obtain a precipitation variability score (PVS) through reduced rank regression (RRR). Associations between the PVS and anthropometric measures, height-for-age (HAZ), and weight-for-height (WHZ), were examined using multi-level regression analysis.

          Results: Stunting (HAZ < −2) and wasting (WHZ < −2) were seen in 24 and 6% of the children. Three main dietary patterns were identified (market-based, vegetable-based, and legume-based diets) and showed mixed evidence for associations with child undernutrition. The RRR-derived PVS explained 14% of the total variance in these DPS. The PVS was characterized by more consecutive dry days during the rainy season, higher cumulative rainfall in July and more extremely wet days. A 1-point increase in the PVS was associated with a reduction of 0.029 (95% CI: −0.06, 0.00, p < 0.05) in HAZ in the unadjusted, and an increase by 0.032 (95% CI: 0.01, 0.06, p < 0.05) in WHZ in the fully adjusted model.

          Conclusion: Rainfall variability was associated with dietary patterns in young children of a rural population of Burkina Faso. Increased rainfall variability was associated with an increase in chronic undernutrition, but not in acute undernutrition among young children.

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          Most cited references88

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          Maternal and child undernutrition: global and regional exposures and health consequences.

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            The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes

            The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly 1981-present 0.05° CCD-based precipitation estimates, iii) blends station data to produce a preliminary information product with a latency of about 2 days and a final product with an average latency of about 3 weeks, and iv) uses a novel blending procedure incorporating the spatial correlation structure of CCD-estimates to assign interpolation weights. We present the CHIRPS algorithm, global and regional validation results, and show how CHIRPS can be used to quantify the hydrologic impacts of decreasing precipitation and rising air temperatures in the Greater Horn of Africa. Using the Variable Infiltration Capacity model, we show that CHIRPS can support effective hydrologic forecasts and trend analyses in southeastern Ethiopia.
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              Dietary pattern analysis: a new direction in nutritional epidemiology.

              Frank Hu (2002)
              Recently, dietary pattern analysis has emerged as an alternative and complementary approach to examining the relationship between diet and the risk of chronic diseases. Instead of looking at individual nutrients or foods, pattern analysis examines the effects of overall diet. Conceptually, dietary patterns represent a broader picture of food and nutrient consumption, and may thus be more predictive of disease risk than individual foods or nutrients. Several studies have suggested that dietary patterns derived from factor or cluster analysis predict disease risk or mortality. In addition, there is growing interest in using dietary quality indices to evaluate whether adherence to a certain dietary pattern (e.g. Mediterranean pattern) or current dietary guidelines lowers the risk of disease. In this review, we describe the rationale for studying dietary patterns, and discuss quantitative methods for analysing dietary patterns and their reproducibility and validity, and the available evidence regarding the relationship between major dietary patterns and the risk of cardiovascular disease.
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                Author and article information

                Contributors
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                20 September 2021
                2021
                : 9
                : 693281
                Affiliations
                [1] 1Heidelberg Institute of Global Health (HIGH), Faculty of Medicine and University Hospital, Heidelberg University , Heidelberg, Germany
                [2] 2Department of Public Health, Environments and Society and Centre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine (LSHTM) , London, United Kingdom
                [3] 3Institute of Geography, Faculty of Applied Computer Science, University of Augsburg , Augsburg, Germany
                [4] 4Centre de Recherche en Santé de Nouna (CRSN), Institut National de Santé Publique , Nouna, Burkina Faso
                [5] 5Institut Universitaire de Formations Initiale et Continue (IUFIC), Université Thomas Sankara (UTS) , Ouagadougou, Burkina Faso
                Author notes

                Edited by: Kris A. Murray, Medical Research Council the Gambia Unit (MRC), Gambia

                Reviewed by: Molly E. Brown, University of Maryland, United States; Christopher D. Golden, Harvard University, United States; Carol Zavaleta-Cortijo, Universidad Peruana Cayetano Heredia, Peru

                *Correspondence: Isabel Mank isabel.mank@ 123456uni-heidelberg.de

                This article was submitted to Planetary Health, a section of the journal Frontiers in Public Health

                †These authors have contributed equally to this work and share last authorship

                Article
                10.3389/fpubh.2021.693281
                8489680
                34616704
                60803224-ec11-4493-8fa8-c2b32825b1d1
                Copyright © 2021 Mank, Belesova, Bliefernicht, Traoré, Wilkinson, Danquah and Sauerborn.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 April 2021
                : 24 August 2021
                Page count
                Figures: 3, Tables: 3, Equations: 0, References: 93, Pages: 13, Words: 10564
                Categories
                Public Health
                Original Research

                dietary patterns,reduced rank regression,west africa,precipitation,climate change,child undernutrition

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