The dynamic behaviour of metabolic syndrome and its components in an eight-year population-based cohort from the Mediterranean
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| Publicado en: | PLoS One vol. 12, no. 5 (May 2017), p. e0176665 |
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| 001 | 1900214262 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 1932-6203 | ||
| 024 | 7 | |a 10.1371/journal.pone.0176665 |2 doi | |
| 035 | |a 1900214262 | ||
| 045 | 2 | |b d20170501 |b d20170531 | |
| 084 | |a 174835 |2 nlm | ||
| 100 | 1 | |a Barceló, Maria A | |
| 245 | 1 | |a The dynamic behaviour of metabolic syndrome and its components in an eight-year population-based cohort from the Mediterranean | |
| 260 | |b Public Library of Science |c May 2017 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Background The significant rise in the prevalence of obesity coincides with the considerable increase in the prevalence of metabolic syndrome (MS) currently being observed worldwide. The components of MS are not static and their dynamics, such as the order of their occurrence, or the time of exposure to them are, as yet, unknown but could well be clinically relevant. Our objective was to study the dynamic behaviour of MS and its components in a large population-based cohort from a Mediterranean region. Methods and findings Our study employed a retrospective cohort (between January 1, 2005 and December 31, 2012) made up of individuals from the general population in a region in the northeast of Catalonia, Spain. Given that most of the explicative variables of the risk of having MS were time dependent and, therefore, the risk was not proportional, we used the Andersen-Gill (AG) model to perform a multivariate survival analysis and inferences were performed using a Bayesian framework. Thirty-nine percent of the participants developed MS; 44.6% of them with a single limited episode. Triglycerides and low HDL cholesterol, together with obesity, are components associated with the first occurrence of MS. Components related to the metabolism of glucose are associated with a medium risk of having a first episode of MS, and those related to blood pressure are associated with a lower risk. When the components related to blood pressure and the metabolism of glucose appear first, they determine the appearance of the first episode of MS. The variables concerning the persistence of MS are those that correspond to clinical conditions that do not have well-established drug treatment criteria. Conclusions Our results suggest that the components related to the metabolism of glucose and to high blood pressure appear early on and act as biomarkers for predicting MS, while the components related to obesity and dyslipidaemia, although essential for the development of MS, appear later. Making lifestyle changes reduces the conditions associated with the persistence of MS. | |
| 651 | 4 | |a Spain | |
| 653 | |a Databases | ||
| 653 | |a Population density | ||
| 653 | |a Metabolism | ||
| 653 | |a Geriatrics | ||
| 653 | |a Body mass index | ||
| 653 | |a Fasting | ||
| 653 | |a Farms | ||
| 653 | |a Arteriosclerosis | ||
| 653 | |a Health care | ||
| 653 | |a Mens health | ||
| 653 | |a Blood pressure | ||
| 653 | |a Health risk assessment | ||
| 653 | |a Obesity | ||
| 653 | |a Public health | ||
| 653 | |a Physical training | ||
| 653 | |a Population studies | ||
| 653 | |a Health risks | ||
| 653 | |a Research | ||
| 653 | |a Clinical trials | ||
| 653 | |a Diabetes | ||
| 653 | |a Insulin resistance | ||
| 653 | |a Womens health | ||
| 653 | |a Lipoproteins | ||
| 653 | |a Epidemiology | ||
| 653 | |a Cholesterol | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Body mass | ||
| 653 | |a Computer programs | ||
| 653 | |a Social | ||
| 653 | |a Hypertension | ||
| 653 | |a Cardiovascular diseases | ||
| 653 | |a Cardiovascular disease | ||
| 653 | |a Primary care | ||
| 653 | |a Diabetes mellitus | ||
| 653 | |a Glucose tolerance | ||
| 653 | |a Lifestyles | ||
| 653 | |a Econometrics | ||
| 653 | |a Metabolic syndrome | ||
| 653 | |a Laboratory testing | ||
| 653 | |a Dyslipidemia | ||
| 653 | |a Metabolic disorders | ||
| 653 | |a Risk | ||
| 653 | |a Glucose | ||
| 653 | |a Triglycerides | ||
| 653 | |a Time dependence | ||
| 653 | |a Biomarkers | ||
| 700 | 1 | |a Rodríguez-Poncelas, Antonio | |
| 700 | 1 | |a Saez, Marc | |
| 700 | 1 | |a Coll-de-Tuero, Gabriel | |
| 773 | 0 | |t PLoS One |g vol. 12, no. 5 (May 2017), p. e0176665 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/1900214262/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/1900214262/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/1900214262/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |