Cargando…
Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature
BACKGROUND: Diabetes is a growing health concern in developing countries, with Cameroon population having an estimated 6% affected. Of note, hospital attendees appear to be increasing all over the country, with fluctuating numbers throughout the annual calendar. The aim of the study was to investiga...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896003/ https://www.ncbi.nlm.nih.gov/pubmed/27266270 http://dx.doi.org/10.1186/s12889-016-3090-1 |
_version_ | 1782435966993039360 |
---|---|
author | Lontchi-Yimagou, Eric Tsalefac, Maurice Tapinmene, Leonelle Monique Teuwa Noubiap, Jean Jacques N. Balti, Eric Vounsia Nguewa, Jean-Louis Dehayem, Mesmin Sobngwi, Eugene |
author_facet | Lontchi-Yimagou, Eric Tsalefac, Maurice Tapinmene, Leonelle Monique Teuwa Noubiap, Jean Jacques N. Balti, Eric Vounsia Nguewa, Jean-Louis Dehayem, Mesmin Sobngwi, Eugene |
author_sort | Lontchi-Yimagou, Eric |
collection | PubMed |
description | BACKGROUND: Diabetes is a growing health concern in developing countries, with Cameroon population having an estimated 6% affected. Of note, hospital attendees appear to be increasing all over the country, with fluctuating numbers throughout the annual calendar. The aim of the study was to investigate the relationship between diabete hospitalization admission rates and climate variations in Yaounde. METHODS: A retrospectively designed study was conducted in four health facilities of Yaounde (Central Hospital, University teaching hospital, Biyem-Assi and Djoungolo District Hospitals), using medical records from 2000 to 2008. A relationship between diabetes (newly diagnosed diabetes patients or decompensated diabetics) hospitalization admissions and climate variations was determined using the “2000–2008” national meteorological database (precipitation and temperature). RESULTS: The monthly medians of precipitation and temperature were 154mm and 25 °C, respectively. The month of October received 239mm of precipitation. The monthly medians of diabetic admissions rates (newly diagnosed or decompensated diabetes patients) were 262 and 72 respectively. October received 366 newly diagnosed diabetics and 99 decompensated diabetics. Interestingly, diabetic hospitalization admissions rates were higher during the rainy (51 %, 1633/3232) than the dry season, though the difference was non-significant. The wettest month (October) reported the highest cases (10 %, 336/3232) corresponding to the month with the highest precipitation level (239mm). Diabetes hospitalization admissions rates varied across health facilities [from 6 % (189/3232) in 2000 to 15 % (474/3232) in 2008]. CONCLUSION: Diabetes is an important epidemiological disease in the city of Yaounde. The variation in the prevalence of diabetes is almost superimposed to that of precipitation; and the prevalence seems increasing during raining seasons in Yaoundé. |
format | Online Article Text |
id | pubmed-4896003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-48960032016-06-08 Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature Lontchi-Yimagou, Eric Tsalefac, Maurice Tapinmene, Leonelle Monique Teuwa Noubiap, Jean Jacques N. Balti, Eric Vounsia Nguewa, Jean-Louis Dehayem, Mesmin Sobngwi, Eugene BMC Public Health Research Article BACKGROUND: Diabetes is a growing health concern in developing countries, with Cameroon population having an estimated 6% affected. Of note, hospital attendees appear to be increasing all over the country, with fluctuating numbers throughout the annual calendar. The aim of the study was to investigate the relationship between diabete hospitalization admission rates and climate variations in Yaounde. METHODS: A retrospectively designed study was conducted in four health facilities of Yaounde (Central Hospital, University teaching hospital, Biyem-Assi and Djoungolo District Hospitals), using medical records from 2000 to 2008. A relationship between diabetes (newly diagnosed diabetes patients or decompensated diabetics) hospitalization admissions and climate variations was determined using the “2000–2008” national meteorological database (precipitation and temperature). RESULTS: The monthly medians of precipitation and temperature were 154mm and 25 °C, respectively. The month of October received 239mm of precipitation. The monthly medians of diabetic admissions rates (newly diagnosed or decompensated diabetes patients) were 262 and 72 respectively. October received 366 newly diagnosed diabetics and 99 decompensated diabetics. Interestingly, diabetic hospitalization admissions rates were higher during the rainy (51 %, 1633/3232) than the dry season, though the difference was non-significant. The wettest month (October) reported the highest cases (10 %, 336/3232) corresponding to the month with the highest precipitation level (239mm). Diabetes hospitalization admissions rates varied across health facilities [from 6 % (189/3232) in 2000 to 15 % (474/3232) in 2008]. CONCLUSION: Diabetes is an important epidemiological disease in the city of Yaounde. The variation in the prevalence of diabetes is almost superimposed to that of precipitation; and the prevalence seems increasing during raining seasons in Yaoundé. BioMed Central 2016-06-06 /pmc/articles/PMC4896003/ /pubmed/27266270 http://dx.doi.org/10.1186/s12889-016-3090-1 Text en © Lontchi-Yimagou et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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. |
spellingShingle | Research Article Lontchi-Yimagou, Eric Tsalefac, Maurice Tapinmene, Leonelle Monique Teuwa Noubiap, Jean Jacques N. Balti, Eric Vounsia Nguewa, Jean-Louis Dehayem, Mesmin Sobngwi, Eugene Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title | Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title_full | Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title_fullStr | Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title_full_unstemmed | Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title_short | Seasonality in diabetes in Yaounde, Cameroon: a relation with precipitation and temperature |
title_sort | seasonality in diabetes in yaounde, cameroon: a relation with precipitation and temperature |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4896003/ https://www.ncbi.nlm.nih.gov/pubmed/27266270 http://dx.doi.org/10.1186/s12889-016-3090-1 |
work_keys_str_mv | AT lontchiyimagoueric seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT tsalefacmaurice seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT tapinmeneleonellemoniqueteuwa seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT noubiapjeanjacquesn seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT baltiericvounsia seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT nguewajeanlouis seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT dehayemmesmin seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature AT sobngwieugene seasonalityindiabetesinyaoundecameroonarelationwithprecipitationandtemperature |