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Food intake and cardiometabolic risk factors in rural Uganda
BACKGROUND: Along with a nutritional transition in Sub-Saharan Africa, the prevalence of non-communicable diseases is increasing rapidly. We assess the association between food intake and cardiometabolic risk factors in a rural population in Uganda. METHODS: The present study was based on data from...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908644/ https://www.ncbi.nlm.nih.gov/pubmed/33632319 http://dx.doi.org/10.1186/s13690-021-00547-x |
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author | Holmager, Therese L. F. Meyrowitsch, Dan W. Bahendeka, Silver Nielsen, Jannie |
author_facet | Holmager, Therese L. F. Meyrowitsch, Dan W. Bahendeka, Silver Nielsen, Jannie |
author_sort | Holmager, Therese L. F. |
collection | PubMed |
description | BACKGROUND: Along with a nutritional transition in Sub-Saharan Africa, the prevalence of non-communicable diseases is increasing rapidly. We assess the association between food intake and cardiometabolic risk factors in a rural population in Uganda. METHODS: The present study was based on data from a household-based case-control study of diabetic and non-diabetic households in Southwestern Uganda, 2012–2013. We analysed food intake in 359 individuals age ≥ 13 years from 87 households, using a household food frequency questionnaire, and measures of glycated haemoglobin (HbA1c), height and weight. We used multinomial logistic regression to model abnormal HbA1c (≥5.7%) and weight status (underweight, normal weight and overweight) as an outcome of total food intake and by nine food groups. Results were reported as odds ratios (OR) with 95% confidence intervals (CI). Models were adjusted for three nested sets of covariates. RESULTS: The diet primarily consisted of staple food (cassava and plantain). High-Glycaemic Index staple food was the most consumed food group (median = 14 servings/week, p25-p75: 11–17). Milk, meat, fish and vegetables were the least consumed food groups (medians: 0–3 servings/week). Median intake of sugary food was 6 servings/week (p25-p75: 2–9). The OR of having abnormal HbA1c or being overweight increased with every weekly serving of food (1.02, 95% CI: 1.00–1.04 and 1.01 95% CI: 1.00–1.03, respectively). Of specific food groups, each weekly serving of meat increased the OR of being overweight with 33% (95% CI: 1.08–1.64), and fruit intake decreased the OR of abnormal HbA1c (0.94, 95% CI: 0.88–1.00), though this latter association was attenuated after adjustment for weight status, aerobic capacity, and socioeconomic status. CONCLUSION: Diet was monotonous, mainly consisting of cassava and plantain, and increasing food intake was associated with abnormal HbA1c and overweight. To prevent non-communicable diseases a diet with higher intake of fish and vegetables, and less sugary food is recommended. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00547-x. |
format | Online Article Text |
id | pubmed-7908644 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79086442021-02-26 Food intake and cardiometabolic risk factors in rural Uganda Holmager, Therese L. F. Meyrowitsch, Dan W. Bahendeka, Silver Nielsen, Jannie Arch Public Health Research BACKGROUND: Along with a nutritional transition in Sub-Saharan Africa, the prevalence of non-communicable diseases is increasing rapidly. We assess the association between food intake and cardiometabolic risk factors in a rural population in Uganda. METHODS: The present study was based on data from a household-based case-control study of diabetic and non-diabetic households in Southwestern Uganda, 2012–2013. We analysed food intake in 359 individuals age ≥ 13 years from 87 households, using a household food frequency questionnaire, and measures of glycated haemoglobin (HbA1c), height and weight. We used multinomial logistic regression to model abnormal HbA1c (≥5.7%) and weight status (underweight, normal weight and overweight) as an outcome of total food intake and by nine food groups. Results were reported as odds ratios (OR) with 95% confidence intervals (CI). Models were adjusted for three nested sets of covariates. RESULTS: The diet primarily consisted of staple food (cassava and plantain). High-Glycaemic Index staple food was the most consumed food group (median = 14 servings/week, p25-p75: 11–17). Milk, meat, fish and vegetables were the least consumed food groups (medians: 0–3 servings/week). Median intake of sugary food was 6 servings/week (p25-p75: 2–9). The OR of having abnormal HbA1c or being overweight increased with every weekly serving of food (1.02, 95% CI: 1.00–1.04 and 1.01 95% CI: 1.00–1.03, respectively). Of specific food groups, each weekly serving of meat increased the OR of being overweight with 33% (95% CI: 1.08–1.64), and fruit intake decreased the OR of abnormal HbA1c (0.94, 95% CI: 0.88–1.00), though this latter association was attenuated after adjustment for weight status, aerobic capacity, and socioeconomic status. CONCLUSION: Diet was monotonous, mainly consisting of cassava and plantain, and increasing food intake was associated with abnormal HbA1c and overweight. To prevent non-communicable diseases a diet with higher intake of fish and vegetables, and less sugary food is recommended. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-021-00547-x. BioMed Central 2021-02-25 /pmc/articles/PMC7908644/ /pubmed/33632319 http://dx.doi.org/10.1186/s13690-021-00547-x Text en © The Author(s) 2021 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 Holmager, Therese L. F. Meyrowitsch, Dan W. Bahendeka, Silver Nielsen, Jannie Food intake and cardiometabolic risk factors in rural Uganda |
title | Food intake and cardiometabolic risk factors in rural Uganda |
title_full | Food intake and cardiometabolic risk factors in rural Uganda |
title_fullStr | Food intake and cardiometabolic risk factors in rural Uganda |
title_full_unstemmed | Food intake and cardiometabolic risk factors in rural Uganda |
title_short | Food intake and cardiometabolic risk factors in rural Uganda |
title_sort | food intake and cardiometabolic risk factors in rural uganda |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908644/ https://www.ncbi.nlm.nih.gov/pubmed/33632319 http://dx.doi.org/10.1186/s13690-021-00547-x |
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