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Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013
OBJECTIVES: This study estimates type 2 diabetes (T2DM) incidence in Samoans aged 25–64 years from sequential, irregularly spaced, cross-sectional population prevalence surveys. METHODS: T2DM prevalence from eight population surveys conducted over 1978–2013 (n = 12,516) was adjusted for census regio...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487887/ https://www.ncbi.nlm.nih.gov/pubmed/28280865 http://dx.doi.org/10.1007/s00038-017-0961-x |
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author | Lin, Sophia Naseri, Take Linhart, Christine Morrell, Stephen Taylor, Richard Mcgarvey, Stephen T. Magliano, Dianna J. Zimmet, Paul |
author_facet | Lin, Sophia Naseri, Take Linhart, Christine Morrell, Stephen Taylor, Richard Mcgarvey, Stephen T. Magliano, Dianna J. Zimmet, Paul |
author_sort | Lin, Sophia |
collection | PubMed |
description | OBJECTIVES: This study estimates type 2 diabetes (T2DM) incidence in Samoans aged 25–64 years from sequential, irregularly spaced, cross-sectional population prevalence surveys. METHODS: T2DM prevalence from eight population surveys conducted over 1978–2013 (n = 12,516) was adjusted for census region, sex, and 5-year age group to the nearest previous census. Annual T2DM incidence was calculated from adjusted prevalences (by sex), using birth cohorts constructed from age-period matrices. Projections of T2DM incidence to 2020 were estimated, based on various scenarios of population weight change using Poisson regression. RESULTS: Over 1978–2013, T2DM incidence was estimated to increase from 1.12 to 8.44 per 1000 person-years in men and from 2.55 to 8.04 per 1000 in women. Based on regression modeling, if mean population weight was stabilized from 2013, absolute incidence reductions of 0.9 per 1000 person-years (7% lower) are predicted in 2020, compared to the current period trend in weight gain. CONCLUSIONS: T2DM incidence can be calculated from irregularly conducted population risk factor surveys which may be useful in developing countries with limited resources. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00038-017-0961-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5487887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-54878872017-07-03 Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 Lin, Sophia Naseri, Take Linhart, Christine Morrell, Stephen Taylor, Richard Mcgarvey, Stephen T. Magliano, Dianna J. Zimmet, Paul Int J Public Health Original Article OBJECTIVES: This study estimates type 2 diabetes (T2DM) incidence in Samoans aged 25–64 years from sequential, irregularly spaced, cross-sectional population prevalence surveys. METHODS: T2DM prevalence from eight population surveys conducted over 1978–2013 (n = 12,516) was adjusted for census region, sex, and 5-year age group to the nearest previous census. Annual T2DM incidence was calculated from adjusted prevalences (by sex), using birth cohorts constructed from age-period matrices. Projections of T2DM incidence to 2020 were estimated, based on various scenarios of population weight change using Poisson regression. RESULTS: Over 1978–2013, T2DM incidence was estimated to increase from 1.12 to 8.44 per 1000 person-years in men and from 2.55 to 8.04 per 1000 in women. Based on regression modeling, if mean population weight was stabilized from 2013, absolute incidence reductions of 0.9 per 1000 person-years (7% lower) are predicted in 2020, compared to the current period trend in weight gain. CONCLUSIONS: T2DM incidence can be calculated from irregularly conducted population risk factor surveys which may be useful in developing countries with limited resources. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00038-017-0961-x) contains supplementary material, which is available to authorized users. Springer International Publishing 2017-03-09 2017 /pmc/articles/PMC5487887/ /pubmed/28280865 http://dx.doi.org/10.1007/s00038-017-0961-x Text en © The Author(s) 2017 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. |
spellingShingle | Original Article Lin, Sophia Naseri, Take Linhart, Christine Morrell, Stephen Taylor, Richard Mcgarvey, Stephen T. Magliano, Dianna J. Zimmet, Paul Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title | Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title_full | Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title_fullStr | Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title_full_unstemmed | Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title_short | Diabetes incidence and projections from prevalence surveys in Samoa over 1978–2013 |
title_sort | diabetes incidence and projections from prevalence surveys in samoa over 1978–2013 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5487887/ https://www.ncbi.nlm.nih.gov/pubmed/28280865 http://dx.doi.org/10.1007/s00038-017-0961-x |
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