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Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition

OBJECTIVES: Malnutrition is shifting in Kenya (increasing rates of obesity with high rates of undernutrition, micronutrient deficiency). There is little consensus on how to measure the coexistence of all forms of malnutrition among adolescents. This study aimed to compare how the prevalence of malnu...

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Autores principales: Seiger, Emily, Owuor, Mercy, Nandoya, Erick, Omala, Hillary, Muasa, Mark, Ruto, Nathan, Meyer, Katie, Ammerman, Alice, Voruganti, Saroja, Pompano, Laura, Thompson, Amanda, Martin, Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193429/
http://dx.doi.org/10.1093/cdn/nzac060.062
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author Seiger, Emily
Owuor, Mercy
Nandoya, Erick
Omala, Hillary
Muasa, Mark
Ruto, Nathan
Meyer, Katie
Ammerman, Alice
Voruganti, Saroja
Pompano, Laura
Thompson, Amanda
Martin, Stephanie
author_facet Seiger, Emily
Owuor, Mercy
Nandoya, Erick
Omala, Hillary
Muasa, Mark
Ruto, Nathan
Meyer, Katie
Ammerman, Alice
Voruganti, Saroja
Pompano, Laura
Thompson, Amanda
Martin, Stephanie
author_sort Seiger, Emily
collection PubMed
description OBJECTIVES: Malnutrition is shifting in Kenya (increasing rates of obesity with high rates of undernutrition, micronutrient deficiency). There is little consensus on how to measure the coexistence of all forms of malnutrition among adolescents. This study aimed to compare how the prevalence of malnutrition changes depending on the cut-off values and measures of overweight, obesity, undernutrition, iron deficiency, and anemia used. METHODS: Girls in late adolescence (15–19 years, n = 313) living in Kibera, an urban informal settlement, participated in a survey; height, weight, waist circumference assessment; and a blood draw. BMI z-scores (BMIz) were calculated from the WHO 2007 Child Growth Standards for overweight (>1SD) and obesity (>2SD). We defined central adiposity as waist circumference to height ratio (WHtR) > 0.5, underweight as BMIz< -2SD, stunting as height for age z-score (HAZ) <-2SD, iron deficiency (ID) as serum ferritin (Ft) < 25 µg/L (to account for functional iron deficiency masked by inflammation); and anemia (A) as Hb < 120 g/L adjusted for elevation. RESULTS: Overweight, obesity, underweight, and stunting data were available from 313 participants, but hemoglobin and ferritin data were only available from 293 and 297 participants, respectively. The prevalence of central adiposity was 29.7%, overweight was 19.5%, and obesity was 2.2%. Using WHtR and BMIz led to an estimated prevalence of 13.1% for overweight and 2.2% for obesity. The prevalence of underweight was 1.0% and of stunting was 1.3%. The prevalence of iron deficiency was 19.2%, of anemia was 24.6%, and of iron deficiency anemia was 10.9%. We assessed the coexistence of all forms of malnutrition among 297 participants. The prevalence of the coexistence of overweight (BMIz or WHtR) and ID or A was 9.1%. The prevalence of the coexistence of obesity (BMIz or WHtR) and ID or A was 7.1%. When overweight is defined using BMIz AND WHtR, the prevalence of the coexistence of overweight and ID or A was only 2.4% and there was no coexistence of obesity and ID or A. When stunting was included, the prevalence of the coexistence all forms of malnutrition increased to 9.8%. CONCLUSIONS: Small changes in cut-offs led to notable changes in the prevalence of malnutrition. Further research is needed on which indicators provide the most precise estimates of malnutrition. FUNDING SOURCES: UNC Chapel Hill Nutrition Dept. Pilot Grant.
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spelling pubmed-91934292022-06-14 Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition Seiger, Emily Owuor, Mercy Nandoya, Erick Omala, Hillary Muasa, Mark Ruto, Nathan Meyer, Katie Ammerman, Alice Voruganti, Saroja Pompano, Laura Thompson, Amanda Martin, Stephanie Curr Dev Nutr Global Nutrition OBJECTIVES: Malnutrition is shifting in Kenya (increasing rates of obesity with high rates of undernutrition, micronutrient deficiency). There is little consensus on how to measure the coexistence of all forms of malnutrition among adolescents. This study aimed to compare how the prevalence of malnutrition changes depending on the cut-off values and measures of overweight, obesity, undernutrition, iron deficiency, and anemia used. METHODS: Girls in late adolescence (15–19 years, n = 313) living in Kibera, an urban informal settlement, participated in a survey; height, weight, waist circumference assessment; and a blood draw. BMI z-scores (BMIz) were calculated from the WHO 2007 Child Growth Standards for overweight (>1SD) and obesity (>2SD). We defined central adiposity as waist circumference to height ratio (WHtR) > 0.5, underweight as BMIz< -2SD, stunting as height for age z-score (HAZ) <-2SD, iron deficiency (ID) as serum ferritin (Ft) < 25 µg/L (to account for functional iron deficiency masked by inflammation); and anemia (A) as Hb < 120 g/L adjusted for elevation. RESULTS: Overweight, obesity, underweight, and stunting data were available from 313 participants, but hemoglobin and ferritin data were only available from 293 and 297 participants, respectively. The prevalence of central adiposity was 29.7%, overweight was 19.5%, and obesity was 2.2%. Using WHtR and BMIz led to an estimated prevalence of 13.1% for overweight and 2.2% for obesity. The prevalence of underweight was 1.0% and of stunting was 1.3%. The prevalence of iron deficiency was 19.2%, of anemia was 24.6%, and of iron deficiency anemia was 10.9%. We assessed the coexistence of all forms of malnutrition among 297 participants. The prevalence of the coexistence of overweight (BMIz or WHtR) and ID or A was 9.1%. The prevalence of the coexistence of obesity (BMIz or WHtR) and ID or A was 7.1%. When overweight is defined using BMIz AND WHtR, the prevalence of the coexistence of overweight and ID or A was only 2.4% and there was no coexistence of obesity and ID or A. When stunting was included, the prevalence of the coexistence all forms of malnutrition increased to 9.8%. CONCLUSIONS: Small changes in cut-offs led to notable changes in the prevalence of malnutrition. Further research is needed on which indicators provide the most precise estimates of malnutrition. FUNDING SOURCES: UNC Chapel Hill Nutrition Dept. Pilot Grant. Oxford University Press 2022-06-14 /pmc/articles/PMC9193429/ http://dx.doi.org/10.1093/cdn/nzac060.062 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Global Nutrition
Seiger, Emily
Owuor, Mercy
Nandoya, Erick
Omala, Hillary
Muasa, Mark
Ruto, Nathan
Meyer, Katie
Ammerman, Alice
Voruganti, Saroja
Pompano, Laura
Thompson, Amanda
Martin, Stephanie
Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title_full Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title_fullStr Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title_full_unstemmed Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title_short Challenges Measuring All Forms of Malnutrition in Adolescence in Kenya: Varying Cut Offs for Obesity, Iron Deficiency, and Anemia Change the Prevalence of Malnutrition
title_sort challenges measuring all forms of malnutrition in adolescence in kenya: varying cut offs for obesity, iron deficiency, and anemia change the prevalence of malnutrition
topic Global Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9193429/
http://dx.doi.org/10.1093/cdn/nzac060.062
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