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Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points

BACKGROUND: Obesity is a public health problem in Micronesia. The objective of the study was to assess obesity, the relationship between body mass index (BMI) and body fat percentage (BF%) among adults, and determine the appropriate BMI cut-points in Kiribati. METHODS: A cross-sectional study was un...

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Autores principales: Eme, P. E., Burlingame, B., Kim, N. D., Foliaki, S., Wham, C., Douwes, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353766/
https://www.ncbi.nlm.nih.gov/pubmed/32652963
http://dx.doi.org/10.1186/s12889-020-09217-z
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author Eme, P. E.
Burlingame, B.
Kim, N. D.
Foliaki, S.
Wham, C.
Douwes, J.
author_facet Eme, P. E.
Burlingame, B.
Kim, N. D.
Foliaki, S.
Wham, C.
Douwes, J.
author_sort Eme, P. E.
collection PubMed
description BACKGROUND: Obesity is a public health problem in Micronesia. The objective of the study was to assess obesity, the relationship between body mass index (BMI) and body fat percentage (BF%) among adults, and determine the appropriate BMI cut-points in Kiribati. METHODS: A cross-sectional study was undertaken among 483 adults randomly selected from South Tarawa (ST) and Butaritari (BT). Weight, height, BF% and physical activity level (PAL) was measured using standard methods. Linear and quadratic regression analyses were conducted to assess the association between BF% and BMI whilst controlling for age and gender. Receiver operating characteristics (ROC) curve analyses were used to assess whether for the Kiribati population alternative BMI cut-off points for obesity are needed. RESULTS: Approximately 75% of participants were obese using standard BMI and BF% cut-offs, with the highest prevalence observed in South Tarawa. BF% was significantly (p < 0.001) and positively associated with age (males, r = 0.78; females, r = 0.67; p < 0.001) and BMI. Based on ROC-curve analyses the BMI cut-offs for predicting high BF% among I-Kiribati people were 24.5 kg/m(2) for males and 32.9 kg/m(2) for females. CONCLUSIONS: In conclusion, the majority of adults in Kiribati were either obese or overweight and had high BF%. We suggest that ethnic-specific BMI cut-points to define obesity for the population of Kiribati may be more appropriate than the currently used international cut-points.
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spelling pubmed-73537662020-07-15 Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points Eme, P. E. Burlingame, B. Kim, N. D. Foliaki, S. Wham, C. Douwes, J. BMC Public Health Research Article BACKGROUND: Obesity is a public health problem in Micronesia. The objective of the study was to assess obesity, the relationship between body mass index (BMI) and body fat percentage (BF%) among adults, and determine the appropriate BMI cut-points in Kiribati. METHODS: A cross-sectional study was undertaken among 483 adults randomly selected from South Tarawa (ST) and Butaritari (BT). Weight, height, BF% and physical activity level (PAL) was measured using standard methods. Linear and quadratic regression analyses were conducted to assess the association between BF% and BMI whilst controlling for age and gender. Receiver operating characteristics (ROC) curve analyses were used to assess whether for the Kiribati population alternative BMI cut-off points for obesity are needed. RESULTS: Approximately 75% of participants were obese using standard BMI and BF% cut-offs, with the highest prevalence observed in South Tarawa. BF% was significantly (p < 0.001) and positively associated with age (males, r = 0.78; females, r = 0.67; p < 0.001) and BMI. Based on ROC-curve analyses the BMI cut-offs for predicting high BF% among I-Kiribati people were 24.5 kg/m(2) for males and 32.9 kg/m(2) for females. CONCLUSIONS: In conclusion, the majority of adults in Kiribati were either obese or overweight and had high BF%. We suggest that ethnic-specific BMI cut-points to define obesity for the population of Kiribati may be more appropriate than the currently used international cut-points. BioMed Central 2020-07-11 /pmc/articles/PMC7353766/ /pubmed/32652963 http://dx.doi.org/10.1186/s12889-020-09217-z Text en © The Author(s) 2020 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 Article
Eme, P. E.
Burlingame, B.
Kim, N. D.
Foliaki, S.
Wham, C.
Douwes, J.
Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title_full Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title_fullStr Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title_full_unstemmed Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title_short Obesity measures in the Kiribati population: a need to reclassify body mass index cut-points
title_sort obesity measures in the kiribati population: a need to reclassify body mass index cut-points
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353766/
https://www.ncbi.nlm.nih.gov/pubmed/32652963
http://dx.doi.org/10.1186/s12889-020-09217-z
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