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Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey

We aimed to investigate the prevalence and predictors of diabetes and prediabetes among adults in Palau. We used data of 1915 adults, aged 25 to 64 years, who participated in the World Health Organization’s (WHO) STEPwise Approach to Risk Factor Surveillance (STEPS) study in Palau. Information on be...

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Autores principales: Hilawe, Esayas Haregot, Chiang, Chifa, Yatsuya, Hiroshi, Wang, Chaochen, Ikerdeu, Edolem, Honjo, Kaori, Mita, Takashi, Cui, Renzhe, Hirakawa, Yoshihisa, Madraisau, Sherilynn, Ngirmang, Gregorio, Iso, Hiroyasu, Aoyama, Atsuko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nagoya University 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159473/
https://www.ncbi.nlm.nih.gov/pubmed/28008203
http://dx.doi.org/10.18999/nagjms.78.4.475
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author Hilawe, Esayas Haregot
Chiang, Chifa
Yatsuya, Hiroshi
Wang, Chaochen
Ikerdeu, Edolem
Honjo, Kaori
Mita, Takashi
Cui, Renzhe
Hirakawa, Yoshihisa
Madraisau, Sherilynn
Ngirmang, Gregorio
Iso, Hiroyasu
Aoyama, Atsuko
author_facet Hilawe, Esayas Haregot
Chiang, Chifa
Yatsuya, Hiroshi
Wang, Chaochen
Ikerdeu, Edolem
Honjo, Kaori
Mita, Takashi
Cui, Renzhe
Hirakawa, Yoshihisa
Madraisau, Sherilynn
Ngirmang, Gregorio
Iso, Hiroyasu
Aoyama, Atsuko
author_sort Hilawe, Esayas Haregot
collection PubMed
description We aimed to investigate the prevalence and predictors of diabetes and prediabetes among adults in Palau. We used data of 1915 adults, aged 25 to 64 years, who participated in the World Health Organization’s (WHO) STEPwise Approach to Risk Factor Surveillance (STEPS) study in Palau. Information on behavioral risk factors of NCDs and physical and biochemical measurements were obtained using standard methods of the WHO. The diagnosis of diabetes and prediabetes was based on the recent American Diabetes Association criteria. Predictors of the prevalence of diabetes and prediabetes were identified using multinomial logistic regression analysis. The overall age-standardized prevalence of prediabetes and diabetes were 40.4% (43.6% for men, 37.4% for women) and 17.7% (18.6% for men, 17% for women), respectively. Old age, overall obesity (high BMI), central obesity (large waist circumference or waist-hip ratio), hypertension and hypertriglyceridemia were significant predictors of prediabetes and/or diabetes. Diabetes occurred at a younger age in “obese” individuals than that of their “non-obese” counterparts. We confirmed that prediabetes and diabetes are highly prevalent in Palau affecting 40% and 18% adults, respectively. Introducing public health interventions to reduce and prevent obesity as early as possible could prove useful to curb the problem.
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spelling pubmed-51594732016-12-22 Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey Hilawe, Esayas Haregot Chiang, Chifa Yatsuya, Hiroshi Wang, Chaochen Ikerdeu, Edolem Honjo, Kaori Mita, Takashi Cui, Renzhe Hirakawa, Yoshihisa Madraisau, Sherilynn Ngirmang, Gregorio Iso, Hiroyasu Aoyama, Atsuko Nagoya J Med Sci Original Paper We aimed to investigate the prevalence and predictors of diabetes and prediabetes among adults in Palau. We used data of 1915 adults, aged 25 to 64 years, who participated in the World Health Organization’s (WHO) STEPwise Approach to Risk Factor Surveillance (STEPS) study in Palau. Information on behavioral risk factors of NCDs and physical and biochemical measurements were obtained using standard methods of the WHO. The diagnosis of diabetes and prediabetes was based on the recent American Diabetes Association criteria. Predictors of the prevalence of diabetes and prediabetes were identified using multinomial logistic regression analysis. The overall age-standardized prevalence of prediabetes and diabetes were 40.4% (43.6% for men, 37.4% for women) and 17.7% (18.6% for men, 17% for women), respectively. Old age, overall obesity (high BMI), central obesity (large waist circumference or waist-hip ratio), hypertension and hypertriglyceridemia were significant predictors of prediabetes and/or diabetes. Diabetes occurred at a younger age in “obese” individuals than that of their “non-obese” counterparts. We confirmed that prediabetes and diabetes are highly prevalent in Palau affecting 40% and 18% adults, respectively. Introducing public health interventions to reduce and prevent obesity as early as possible could prove useful to curb the problem. Nagoya University 2016-12 /pmc/articles/PMC5159473/ /pubmed/28008203 http://dx.doi.org/10.18999/nagjms.78.4.475 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Paper
Hilawe, Esayas Haregot
Chiang, Chifa
Yatsuya, Hiroshi
Wang, Chaochen
Ikerdeu, Edolem
Honjo, Kaori
Mita, Takashi
Cui, Renzhe
Hirakawa, Yoshihisa
Madraisau, Sherilynn
Ngirmang, Gregorio
Iso, Hiroyasu
Aoyama, Atsuko
Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title_full Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title_fullStr Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title_full_unstemmed Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title_short Prevalence and predictors of prediabetes and diabetes among adults in Palau: population-based national STEPS survey
title_sort prevalence and predictors of prediabetes and diabetes among adults in palau: population-based national steps survey
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5159473/
https://www.ncbi.nlm.nih.gov/pubmed/28008203
http://dx.doi.org/10.18999/nagjms.78.4.475
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