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Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?

BACKGROUND: Early identification of high-risk individuals is key for the prevention of cardiovascular disease (CVD). The aim of this study was to assess the potential impact of a family history of metabolic syndrome (fhMetS) on the risk of metabolic disorders (abnormal body mass, lipid profile, gluc...

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Autores principales: Lipińska, Anna, Koczaj-Bremer, Magdalena, Jankowski, Krzysztof, Kaźmierczak, Agnieszka, Ciurzyński, Michał, Ou-Pokrzewińska, Aisha, Mikocka, Ewelina, Lewandowski, Zbigniew, Demkow, Urszula, Pruszczyk, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096539/
https://www.ncbi.nlm.nih.gov/pubmed/25024747
http://dx.doi.org/10.1186/1758-5996-6-75
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author Lipińska, Anna
Koczaj-Bremer, Magdalena
Jankowski, Krzysztof
Kaźmierczak, Agnieszka
Ciurzyński, Michał
Ou-Pokrzewińska, Aisha
Mikocka, Ewelina
Lewandowski, Zbigniew
Demkow, Urszula
Pruszczyk, Piotr
author_facet Lipińska, Anna
Koczaj-Bremer, Magdalena
Jankowski, Krzysztof
Kaźmierczak, Agnieszka
Ciurzyński, Michał
Ou-Pokrzewińska, Aisha
Mikocka, Ewelina
Lewandowski, Zbigniew
Demkow, Urszula
Pruszczyk, Piotr
author_sort Lipińska, Anna
collection PubMed
description BACKGROUND: Early identification of high-risk individuals is key for the prevention of cardiovascular disease (CVD). The aim of this study was to assess the potential impact of a family history of metabolic syndrome (fhMetS) on the risk of metabolic disorders (abnormal body mass, lipid profile, glucose metabolism, insulin resistance, and blood pressure) in healthy young individuals. METHODS: We studied CVD risk factors in 90 healthy volunteers, aged 27–39 years; of these, 78 had fhMetS and 12 were without fhMetS (control group). Fasting serum lipids, glucose, and insulin levels were assayed, and anthropometric parameters and blood pressure using, an ambulatory blood pressure monitoring system, were measured. Nutritional and physical activity habits were assessed. RESULTS: Despite similar nutritional and physical activity habits, abnormal body mass was found in 53.2% of the fhMetS participants and 46.1% of the control participants (p = 0.54). The occurrence of obesity was 19.4% and 0%, respectively (p = 0.69). Compared to the control participants, fhMetS was associated with significantly higher total cholesterol (5.46 mmol/L vs. 4.69 mmol/L, p < 0.030), low-density lipoprotein cholesterol ( 3.28 mmol/L vs. 2.90 mmol/L, p < 0.032), and non-high-density lipoprotein cholesterol ( 3.74 mmol/L vs. 3.25 mmol/L, p < 0.016) levels, in addition to lower fasting glucose levels ( 4.51 mmol/L vs. 4.81 mmol/L, p < 0.042). A positive correlation between fasting glucose and insulin levels (r = 0.28; p < 0.015) was detected in the fhMetS participants. Higher mean daytime systolic blood pressure (121.5 mmHg vs. 113.3 mmHg, p < 0.035), mean daytime diastolic blood pressure ( 79.0 mmHg vs. 74.5 mmHg, p < 0.045), and mean nighttime diastolic blood pressure ( 64.0 mmHg vs. 59.5 mmHg, p < 0.019) were observed in the fhMetS group. CONCLUSIONS: More than 50% of the fhMetS participants had excess weight or a lipid disorder, which may indicate an increased risk of cardiovascular disease and the need for regular ambulatory assessment of serum lipid concentrations in young people with a family history of MetS.
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spelling pubmed-40965392014-07-15 Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals? Lipińska, Anna Koczaj-Bremer, Magdalena Jankowski, Krzysztof Kaźmierczak, Agnieszka Ciurzyński, Michał Ou-Pokrzewińska, Aisha Mikocka, Ewelina Lewandowski, Zbigniew Demkow, Urszula Pruszczyk, Piotr Diabetol Metab Syndr Research BACKGROUND: Early identification of high-risk individuals is key for the prevention of cardiovascular disease (CVD). The aim of this study was to assess the potential impact of a family history of metabolic syndrome (fhMetS) on the risk of metabolic disorders (abnormal body mass, lipid profile, glucose metabolism, insulin resistance, and blood pressure) in healthy young individuals. METHODS: We studied CVD risk factors in 90 healthy volunteers, aged 27–39 years; of these, 78 had fhMetS and 12 were without fhMetS (control group). Fasting serum lipids, glucose, and insulin levels were assayed, and anthropometric parameters and blood pressure using, an ambulatory blood pressure monitoring system, were measured. Nutritional and physical activity habits were assessed. RESULTS: Despite similar nutritional and physical activity habits, abnormal body mass was found in 53.2% of the fhMetS participants and 46.1% of the control participants (p = 0.54). The occurrence of obesity was 19.4% and 0%, respectively (p = 0.69). Compared to the control participants, fhMetS was associated with significantly higher total cholesterol (5.46 mmol/L vs. 4.69 mmol/L, p < 0.030), low-density lipoprotein cholesterol ( 3.28 mmol/L vs. 2.90 mmol/L, p < 0.032), and non-high-density lipoprotein cholesterol ( 3.74 mmol/L vs. 3.25 mmol/L, p < 0.016) levels, in addition to lower fasting glucose levels ( 4.51 mmol/L vs. 4.81 mmol/L, p < 0.042). A positive correlation between fasting glucose and insulin levels (r = 0.28; p < 0.015) was detected in the fhMetS participants. Higher mean daytime systolic blood pressure (121.5 mmHg vs. 113.3 mmHg, p < 0.035), mean daytime diastolic blood pressure ( 79.0 mmHg vs. 74.5 mmHg, p < 0.045), and mean nighttime diastolic blood pressure ( 64.0 mmHg vs. 59.5 mmHg, p < 0.019) were observed in the fhMetS group. CONCLUSIONS: More than 50% of the fhMetS participants had excess weight or a lipid disorder, which may indicate an increased risk of cardiovascular disease and the need for regular ambulatory assessment of serum lipid concentrations in young people with a family history of MetS. BioMed Central 2014-06-26 /pmc/articles/PMC4096539/ /pubmed/25024747 http://dx.doi.org/10.1186/1758-5996-6-75 Text en Copyright © 2014 Lipińska 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 credited. 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
Lipińska, Anna
Koczaj-Bremer, Magdalena
Jankowski, Krzysztof
Kaźmierczak, Agnieszka
Ciurzyński, Michał
Ou-Pokrzewińska, Aisha
Mikocka, Ewelina
Lewandowski, Zbigniew
Demkow, Urszula
Pruszczyk, Piotr
Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title_full Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title_fullStr Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title_full_unstemmed Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title_short Does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
title_sort does family history of metabolic syndrome affect the metabolic profile phenotype in young healthy individuals?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4096539/
https://www.ncbi.nlm.nih.gov/pubmed/25024747
http://dx.doi.org/10.1186/1758-5996-6-75
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