Identifying Targets for the Prevention of Childhood Undernutrition in a Resource-Limited Peri-Urban Ecuadorian Community
Author(s) -
Suzanna Attia,
WolfPeter Schmidt,
Janeth Ceballos Osorio,
Thomas Young,
Aric Schadler,
Julie Plasencia
Publication year - 2021
Publication title -
food and nutrition bulletin
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.649
H-Index - 73
eISSN - 1564-8265
pISSN - 0379-5721
DOI - 10.1177/0379572120982500
Subject(s) - underweight , malnutrition , medicine , anthropometry , odds ratio , environmental health , cross sectional study , pediatrics , body mass index , pathology , overweight
Background: In middle-income countries, malnutrition concentrates in marginalized populations with a lack of effective preventive strategies.Objective: Identify risk factors for undernutrition in a peri-urban Ecuadorian community of children aged 12 to 59 months.Methods: Data from a cross-sectional survey in 2011 of children 1 to 5 years were analyzed including demographic data, medical history and examination, food frequency questionnaire (FFQ), anthropometric measurements, and blood for complete blood count, C-reactive protein, vitamin A, iron, and zinc levels. Dietary Diversity Score (DDS) was calculated from FFQ. Bivariate and multivariate analysis assessed effects on primary outcome of undernutrition by DDS, vitamin deficiencies, and demographic and nutritional data.Results: N = 67, 52.2% undernourished: 49.3% stunted, 25.4% underweight, and 3% wasted; 74.6% (n = 50) were anemic and 95.1% (n = 39) had low serum zinc. Dietary Diversity Score was universally low (mean 4.91 ± 1.36, max 12). Undernutrition was associated with lower vitamin A levels (20 306, IQR: 16605.25-23973.75 vs 23665, IQR: 19292-26474 ng/mL, P = .04); underweight was associated with less parental report of illness (43.8%, n = 7 vs 80% n = 40, P = .005) and higher white blood count (13.7, IQR: 11.95-15.8 vs 10.9, IQR: 7.8-14.23 × 10 9 /L, P = .02). In multiple regression, risk of undernutrition decreased by 4% for every $10 monthly income increase (95 CI%: 0.5%-7.4%, P = .02, n = 23); risk of underweight decreased by 0.06 for every increased DDS point (adjusted odds ratio: 0.06; 95 CI%: 0.004-0.91, P = .04, n = 23).Conclusions: In this peri-urban limited resource, mostly Indigenous Ecuadorian community, stunting exceeds national prevalence, lower monthly income is the strongest predictor of undernutrition, lower DDS can predict some forms of undernutrition, and vitamin deficiencies are associated with but not predictive of undernutrition.
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