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Body mass index in an Australian population with chronic kidney disease
BACKGROUND: Obesity emerged as the leading global health concern in 2017. Although higher body mass index (BMI) is a health risk in the general population, its implications for chronic kidney disease (CKD) are not entirely clear. Our aim was to compare BMI in an Australian CKD population with BMI in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102866/ https://www.ncbi.nlm.nih.gov/pubmed/30126378 http://dx.doi.org/10.1186/s12882-018-1006-2 |
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author | Chan, Samuel Cameron, Anne Wang, Zaimin Venuthurupalli, Sree K. Tan, Ken S. Healy, Helen G. Hoy, Wendy E. |
author_facet | Chan, Samuel Cameron, Anne Wang, Zaimin Venuthurupalli, Sree K. Tan, Ken S. Healy, Helen G. Hoy, Wendy E. |
author_sort | Chan, Samuel |
collection | PubMed |
description | BACKGROUND: Obesity emerged as the leading global health concern in 2017. Although higher body mass index (BMI) is a health risk in the general population, its implications for chronic kidney disease (CKD) are not entirely clear. Our aim was to compare BMI in an Australian CKD population with BMI in a sample of the general Australian population, and, in the same group of CKD patients, to describe associations of higher BMI categories with demographic and clinical features. METHODS: A cross-sectional study of BMI in CKD patients was conducted from three major sites who were enrolled in the CKD.QLD registry between May 2011 and July 2015. BMI was categorized according to the World Health Organisation (WHO) guidelines. The prevalence of obesity was compared with a sample of the general Australian population from the most recent National Health Survey (NHS). Associations of BMI with demographic and clinical characteristics of the CKD patients were also analysed. RESULTS: There were 3382 CKD patients in this study (median age 68, IQR 56–76 years); 50.5% had BMI ≥30, the WHO threshold for obesity, in contrast with 28.4% having BMI ≥30 in the NHS cohort. Higher BMI categories were correlated with age < 70 years, male gender, and lower socioeconomic status. After adjustment for age and gender, characteristics which significantly correlated with higher BMI category included hypertension, dyslipidemia, diabetes, diabetic nephropathy, coronary heart disease, other cardiovascular diseases, gout, obstructive sleep apnoea, depression and chronic lung disease. CONCLUSIONS: Patients with CKD in public renal specialty practices in Queensland have strikingly higher rates of obesity than the general Australian population. Within the CKD population, low socio-economic position strongly predisposes to higher BMI categories. Higher BMI categories also strongly correlated with important co-morbidities that contribute to burden of illness. These data flag major opportunities for primary prevention of CKD and for reductions in morbidity in people who already have CKD, which should be considered in public health policy in relation to obesity. |
format | Online Article Text |
id | pubmed-6102866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61028662018-08-27 Body mass index in an Australian population with chronic kidney disease Chan, Samuel Cameron, Anne Wang, Zaimin Venuthurupalli, Sree K. Tan, Ken S. Healy, Helen G. Hoy, Wendy E. BMC Nephrol Research Article BACKGROUND: Obesity emerged as the leading global health concern in 2017. Although higher body mass index (BMI) is a health risk in the general population, its implications for chronic kidney disease (CKD) are not entirely clear. Our aim was to compare BMI in an Australian CKD population with BMI in a sample of the general Australian population, and, in the same group of CKD patients, to describe associations of higher BMI categories with demographic and clinical features. METHODS: A cross-sectional study of BMI in CKD patients was conducted from three major sites who were enrolled in the CKD.QLD registry between May 2011 and July 2015. BMI was categorized according to the World Health Organisation (WHO) guidelines. The prevalence of obesity was compared with a sample of the general Australian population from the most recent National Health Survey (NHS). Associations of BMI with demographic and clinical characteristics of the CKD patients were also analysed. RESULTS: There were 3382 CKD patients in this study (median age 68, IQR 56–76 years); 50.5% had BMI ≥30, the WHO threshold for obesity, in contrast with 28.4% having BMI ≥30 in the NHS cohort. Higher BMI categories were correlated with age < 70 years, male gender, and lower socioeconomic status. After adjustment for age and gender, characteristics which significantly correlated with higher BMI category included hypertension, dyslipidemia, diabetes, diabetic nephropathy, coronary heart disease, other cardiovascular diseases, gout, obstructive sleep apnoea, depression and chronic lung disease. CONCLUSIONS: Patients with CKD in public renal specialty practices in Queensland have strikingly higher rates of obesity than the general Australian population. Within the CKD population, low socio-economic position strongly predisposes to higher BMI categories. Higher BMI categories also strongly correlated with important co-morbidities that contribute to burden of illness. These data flag major opportunities for primary prevention of CKD and for reductions in morbidity in people who already have CKD, which should be considered in public health policy in relation to obesity. BioMed Central 2018-08-20 /pmc/articles/PMC6102866/ /pubmed/30126378 http://dx.doi.org/10.1186/s12882-018-1006-2 Text en © The Author(s). 2018 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 Chan, Samuel Cameron, Anne Wang, Zaimin Venuthurupalli, Sree K. Tan, Ken S. Healy, Helen G. Hoy, Wendy E. Body mass index in an Australian population with chronic kidney disease |
title | Body mass index in an Australian population with chronic kidney disease |
title_full | Body mass index in an Australian population with chronic kidney disease |
title_fullStr | Body mass index in an Australian population with chronic kidney disease |
title_full_unstemmed | Body mass index in an Australian population with chronic kidney disease |
title_short | Body mass index in an Australian population with chronic kidney disease |
title_sort | body mass index in an australian population with chronic kidney disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102866/ https://www.ncbi.nlm.nih.gov/pubmed/30126378 http://dx.doi.org/10.1186/s12882-018-1006-2 |
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