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Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study

BACKGROUND: The double burden of malnutrition is the co-occurrence of undernutrition (e.g. underweight, stunting, and micronutrient deficiencies) and over-nutrition (e.g. obesity, type 2 diabetes, and cardiovascular disease) at the population, household, or individual level. The objectives of this s...

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Autores principales: Little, Matthew, Humphries, Sally, Dodd, Warren, Patel, Kirit, Dewey, Cate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218837/
https://www.ncbi.nlm.nih.gov/pubmed/32404080
http://dx.doi.org/10.1186/s12889-020-08679-5
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author Little, Matthew
Humphries, Sally
Dodd, Warren
Patel, Kirit
Dewey, Cate
author_facet Little, Matthew
Humphries, Sally
Dodd, Warren
Patel, Kirit
Dewey, Cate
author_sort Little, Matthew
collection PubMed
description BACKGROUND: The double burden of malnutrition is the co-occurrence of undernutrition (e.g. underweight, stunting, and micronutrient deficiencies) and over-nutrition (e.g. obesity, type 2 diabetes, and cardiovascular disease) at the population, household, or individual level. The objectives of this study were to determine the extent and determinants of individual-level co-morbid anemia and overweight and co-morbid anemia and diabetes in a population in rural Tamil Nadu, South India. METHODS: We undertook a cross-sectional study of adults (n = 753) in a rural region of Tamil Nadu, South India. A survey assessed socio-demographic factors, physical activity levels, and dietary intake. Clinical measurements included body-mass index, an oral glucose tolerance test, and blood hemoglobin assessments. Multivariable logistic regression analyses were used to determine associations between risk factors and two co-morbid double burden pairings: (1) anemia and overweight, and (2) anemia and diabetes. RESULTS: Prevalence of co-morbid anemia and overweight was 23.1% among women and 13.1% among men. Prevalence of co-morbid anemia and diabetes was 6.2% among women and 6.3% among men. The following variables were associated with co-morbid anemia and overweight in multivariable models [odds ratio (95% confidence interval)]: female sex [2.3 (1.4, 3.85)], high caste [3.2 (1.34, 7.49)], wealth index [1.1 (1.00, 1.12)], rurality (0.7 [0.56, 0.85]), tobacco consumption [0.6 (0.32, 0.96)], livestock ownership [0.5 (0.29, 0.89)], and energy-adjusted meat intake [1.8 (0.61, 0.94)]. The following variables were associated with co-morbid anemia and diabetes in multivariable models: age [1.1 (1.05, 1.11)], rurality [0.8 (0.57, 0.98)], and family history of diabetes [4.9 (1.86, 12.70). CONCLUSION: This study determined the prevalence and factors associated with individual-level double burden of malnutrition. Women in rural regions of India may be particularly vulnerable to individual-level double burden of malnutrition and should be a target population for any nutrition interventions to address simultaneous over- and undernutrition.
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spelling pubmed-72188372020-05-20 Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study Little, Matthew Humphries, Sally Dodd, Warren Patel, Kirit Dewey, Cate BMC Public Health Research Article BACKGROUND: The double burden of malnutrition is the co-occurrence of undernutrition (e.g. underweight, stunting, and micronutrient deficiencies) and over-nutrition (e.g. obesity, type 2 diabetes, and cardiovascular disease) at the population, household, or individual level. The objectives of this study were to determine the extent and determinants of individual-level co-morbid anemia and overweight and co-morbid anemia and diabetes in a population in rural Tamil Nadu, South India. METHODS: We undertook a cross-sectional study of adults (n = 753) in a rural region of Tamil Nadu, South India. A survey assessed socio-demographic factors, physical activity levels, and dietary intake. Clinical measurements included body-mass index, an oral glucose tolerance test, and blood hemoglobin assessments. Multivariable logistic regression analyses were used to determine associations between risk factors and two co-morbid double burden pairings: (1) anemia and overweight, and (2) anemia and diabetes. RESULTS: Prevalence of co-morbid anemia and overweight was 23.1% among women and 13.1% among men. Prevalence of co-morbid anemia and diabetes was 6.2% among women and 6.3% among men. The following variables were associated with co-morbid anemia and overweight in multivariable models [odds ratio (95% confidence interval)]: female sex [2.3 (1.4, 3.85)], high caste [3.2 (1.34, 7.49)], wealth index [1.1 (1.00, 1.12)], rurality (0.7 [0.56, 0.85]), tobacco consumption [0.6 (0.32, 0.96)], livestock ownership [0.5 (0.29, 0.89)], and energy-adjusted meat intake [1.8 (0.61, 0.94)]. The following variables were associated with co-morbid anemia and diabetes in multivariable models: age [1.1 (1.05, 1.11)], rurality [0.8 (0.57, 0.98)], and family history of diabetes [4.9 (1.86, 12.70). CONCLUSION: This study determined the prevalence and factors associated with individual-level double burden of malnutrition. Women in rural regions of India may be particularly vulnerable to individual-level double burden of malnutrition and should be a target population for any nutrition interventions to address simultaneous over- and undernutrition. BioMed Central 2020-05-13 /pmc/articles/PMC7218837/ /pubmed/32404080 http://dx.doi.org/10.1186/s12889-020-08679-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Little, Matthew
Humphries, Sally
Dodd, Warren
Patel, Kirit
Dewey, Cate
Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title_full Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title_fullStr Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title_full_unstemmed Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title_short Socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in South India: a cross-sectional study
title_sort socio-demographic patterning of the individual-level double burden of malnutrition in a rural population in south india: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218837/
https://www.ncbi.nlm.nih.gov/pubmed/32404080
http://dx.doi.org/10.1186/s12889-020-08679-5
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