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Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression
BACKGROUND: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting pl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117818/ https://www.ncbi.nlm.nih.gov/pubmed/21619595 http://dx.doi.org/10.1186/1471-2288-11-82 |
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author | Tu, Yu-Kang Chien, Kuo-Liong Burley, Victoria Gilthorpe, Mark S |
author_facet | Tu, Yu-Kang Chien, Kuo-Liong Burley, Victoria Gilthorpe, Mark S |
author_sort | Tu, Yu-Kang |
collection | PubMed |
description | BACKGROUND: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA). METHODS: To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for. RESULTS: As the age of individuals increased, the values of components generally increased except for UA. Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA. There is a similar pattern between the trend in levels of metabolic syndrome components against birth year of birth and economic growth in Taiwan. CONCLUSIONS: We found cohort effects in some MetS components, suggesting associations between the changing environment and health outcomes in later life. This ecological association is worthy of further investigation. |
format | Online Article Text |
id | pubmed-3117818 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31178182011-06-18 Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression Tu, Yu-Kang Chien, Kuo-Liong Burley, Victoria Gilthorpe, Mark S BMC Med Res Methodol Research Article BACKGROUND: We investigate whether the changing environment caused by rapid economic growth yielded differential effects for successive Taiwanese generations on 8 components of metabolic syndrome (MetS): body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), triglycerides (TG), high-density lipoprotein (HDL), Low-density lipoproteins (LDL) and uric acid (UA). METHODS: To assess the impact of age, birth year and year of examination on MetS components, we used partial least squares regression to analyze data collected by Mei-Jaw clinics in Taiwan in years 1996 and 2006. Confounders, such as the number of years in formal education, alcohol intake, smoking history status, and betel-nut chewing were adjusted for. RESULTS: As the age of individuals increased, the values of components generally increased except for UA. Men born after 1970 had lower FPG, lower BMI, lower DBP, lower TG, Lower LDL and greater HDL; women born after 1970 had lower BMI, lower DBP, lower TG, Lower LDL and greater HDL and UA. There is a similar pattern between the trend in levels of metabolic syndrome components against birth year of birth and economic growth in Taiwan. CONCLUSIONS: We found cohort effects in some MetS components, suggesting associations between the changing environment and health outcomes in later life. This ecological association is worthy of further investigation. BioMed Central 2011-05-27 /pmc/articles/PMC3117818/ /pubmed/21619595 http://dx.doi.org/10.1186/1471-2288-11-82 Text en Copyright ©2011 Tu et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tu, Yu-Kang Chien, Kuo-Liong Burley, Victoria Gilthorpe, Mark S Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title | Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title_full | Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title_fullStr | Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title_full_unstemmed | Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title_short | Unravelling the effects of age, period and cohort on metabolic syndrome components in a Taiwanese population using partial least squares regression |
title_sort | unravelling the effects of age, period and cohort on metabolic syndrome components in a taiwanese population using partial least squares regression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117818/ https://www.ncbi.nlm.nih.gov/pubmed/21619595 http://dx.doi.org/10.1186/1471-2288-11-82 |
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