Cargando…
Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors
With the lack of surveys, surveillance program and/or statistical data, epidemiologic studies can provide a better understanding of diabetes in Sub-Saharan Africa. This was a cross-sectional survey to determine prevalence of diabetes and impaired fasting glucose (IFG) among adults attending six heal...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067759/ https://www.ncbi.nlm.nih.gov/pubmed/32165677 http://dx.doi.org/10.1038/s41598-020-61419-y |
_version_ | 1783505447669465088 |
---|---|
author | Robbiati, Claudia Putoto, Giovanni Da Conceição, Natália Armando, António Segafredo, Giulia Atzori, Andrea Cavallin, Francesco |
author_facet | Robbiati, Claudia Putoto, Giovanni Da Conceição, Natália Armando, António Segafredo, Giulia Atzori, Andrea Cavallin, Francesco |
author_sort | Robbiati, Claudia |
collection | PubMed |
description | With the lack of surveys, surveillance program and/or statistical data, epidemiologic studies can provide a better understanding of diabetes in Sub-Saharan Africa. This was a cross-sectional survey to determine prevalence of diabetes and impaired fasting glucose (IFG) among adults attending six health centres in six different districts of Luanda (Angola) during August-November 2018, followed by a case-control study to assess the risk factors for IFG and diabetes in a subgroup of subjects not receiving treatment for diabetes. Factors associated with diabetes/IFG were assessed using a generalized ordered logit model and the effects were expressed as odds ratios (OR(1) for IFG/diabetes vs. no IFG/diabetes; OR(2) for diabetes vs. no diabetes) with 95% CI (confidence interval). Some 1,803 participants were included in the survey. Prevalence of diabetes was 12.0% (95%CI 10.5% to 13.5%) and prevalence of IFG was 9.0% (95%CI 7.7% to 10.4%). Older age (OR(1) = OR(2) 1.03, 95%CI 1.02 to 1.04), higher weight (OR(1) = OR(2) 1.01, 95%CI 1.01 to 1.03), having measured glycaemia before (OR(2) 2.07, 95%CI 1.29 to 3.31), feeling polyuria (OR(1) 1.93, 95%CI 1.13 to 3.28; OR(2) 2.18, 95%CI 1.32 to 3.59), feeling polydipsia (OR(1) 1.92, 95%CI 1.16 to 3.18), feeling weakness (OR(1) = OR(2) 2.22, 95%CI 1.39 to 3.55), consumption of free-sugars food/beverages (OR(1) = OR(2) 2.34, 95%CI 1.44 to 3.81) and time spent seated (OR(1) 1.80, 95%CI 1.17 to 2.76) were associated with increased likelihood of diabetes and/or IFG, while eating vegetables was associated with decreased likelihood of IFG or diabetes (OR(1) = OR(2) 0.69, 95%CI 0.47 to 0.99). In conclusion, the high prevalence of diabetes and IFG, with common unawareness of the disease, calls for appropriate interventions in Angolan urban settings. Further research may evaluate the impact of context-specific factors to enhance intervention strategies and feed the results into local health policies. In addition, such information may be useful for selecting high-risk subjects to test. |
format | Online Article Text |
id | pubmed-7067759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70677592020-03-19 Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors Robbiati, Claudia Putoto, Giovanni Da Conceição, Natália Armando, António Segafredo, Giulia Atzori, Andrea Cavallin, Francesco Sci Rep Article With the lack of surveys, surveillance program and/or statistical data, epidemiologic studies can provide a better understanding of diabetes in Sub-Saharan Africa. This was a cross-sectional survey to determine prevalence of diabetes and impaired fasting glucose (IFG) among adults attending six health centres in six different districts of Luanda (Angola) during August-November 2018, followed by a case-control study to assess the risk factors for IFG and diabetes in a subgroup of subjects not receiving treatment for diabetes. Factors associated with diabetes/IFG were assessed using a generalized ordered logit model and the effects were expressed as odds ratios (OR(1) for IFG/diabetes vs. no IFG/diabetes; OR(2) for diabetes vs. no diabetes) with 95% CI (confidence interval). Some 1,803 participants were included in the survey. Prevalence of diabetes was 12.0% (95%CI 10.5% to 13.5%) and prevalence of IFG was 9.0% (95%CI 7.7% to 10.4%). Older age (OR(1) = OR(2) 1.03, 95%CI 1.02 to 1.04), higher weight (OR(1) = OR(2) 1.01, 95%CI 1.01 to 1.03), having measured glycaemia before (OR(2) 2.07, 95%CI 1.29 to 3.31), feeling polyuria (OR(1) 1.93, 95%CI 1.13 to 3.28; OR(2) 2.18, 95%CI 1.32 to 3.59), feeling polydipsia (OR(1) 1.92, 95%CI 1.16 to 3.18), feeling weakness (OR(1) = OR(2) 2.22, 95%CI 1.39 to 3.55), consumption of free-sugars food/beverages (OR(1) = OR(2) 2.34, 95%CI 1.44 to 3.81) and time spent seated (OR(1) 1.80, 95%CI 1.17 to 2.76) were associated with increased likelihood of diabetes and/or IFG, while eating vegetables was associated with decreased likelihood of IFG or diabetes (OR(1) = OR(2) 0.69, 95%CI 0.47 to 0.99). In conclusion, the high prevalence of diabetes and IFG, with common unawareness of the disease, calls for appropriate interventions in Angolan urban settings. Further research may evaluate the impact of context-specific factors to enhance intervention strategies and feed the results into local health policies. In addition, such information may be useful for selecting high-risk subjects to test. Nature Publishing Group UK 2020-03-12 /pmc/articles/PMC7067759/ /pubmed/32165677 http://dx.doi.org/10.1038/s41598-020-61419-y Text en © The Author(s) 2020 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Robbiati, Claudia Putoto, Giovanni Da Conceição, Natália Armando, António Segafredo, Giulia Atzori, Andrea Cavallin, Francesco Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title | Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title_full | Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title_fullStr | Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title_full_unstemmed | Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title_short | Diabetes and pre-diabetes among adults reaching health centers in Luanda, Angola: prevalence and associated factors |
title_sort | diabetes and pre-diabetes among adults reaching health centers in luanda, angola: prevalence and associated factors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7067759/ https://www.ncbi.nlm.nih.gov/pubmed/32165677 http://dx.doi.org/10.1038/s41598-020-61419-y |
work_keys_str_mv | AT robbiaticlaudia diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT putotogiovanni diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT daconceicaonatalia diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT armandoantonio diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT segafredogiulia diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT atzoriandrea diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors AT cavallinfrancesco diabetesandprediabetesamongadultsreachinghealthcentersinluandaangolaprevalenceandassociatedfactors |