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High HOMA-IR Index in Healthcare Shift Workers

Background and objectives: Evidence shows that shift work may be correlated with insulin resistance (IR). Therefore its estimation in clinical and prevention practice is of great significance. A cross-sectional study was performed to examine the Homeostasis Model Assessment-Insulin Resistance (HOMA-...

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Autores principales: Ledda, Caterina, Cinà, Diana, Matera, Serena, Mucci, Nicola, Bracci, Massimo, Rapisarda, Venerando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571567/
https://www.ncbi.nlm.nih.gov/pubmed/31121834
http://dx.doi.org/10.3390/medicina55050186
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author Ledda, Caterina
Cinà, Diana
Matera, Serena
Mucci, Nicola
Bracci, Massimo
Rapisarda, Venerando
author_facet Ledda, Caterina
Cinà, Diana
Matera, Serena
Mucci, Nicola
Bracci, Massimo
Rapisarda, Venerando
author_sort Ledda, Caterina
collection PubMed
description Background and objectives: Evidence shows that shift work may be correlated with insulin resistance (IR). Therefore its estimation in clinical and prevention practice is of great significance. A cross-sectional study was performed to examine the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) Index among healthcare shift workers (HCSW). Materials and Methods: A total of 272 healthcare workers (HCWs) were invited to participate in the study within an occupational surveillance framework, 137 were HCSW while 135 were healthcare non-shift workers (HCNSW). Fasting glucose, insulin, and HOMA-IR Index were evaluated in each participant and correlated with shift workers. Results: Indicators of glucose metabolism were significantly higher in HCSW p < 0.001, and logistic regression analysis confirmed a significant positive association between increased values of HOMA-IR Index and shift workers (p < 0.05). Conclusions: Shift work could be a risk factor in developing insulin resistance and metabolic syndrome.
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spelling pubmed-65715672019-06-18 High HOMA-IR Index in Healthcare Shift Workers Ledda, Caterina Cinà, Diana Matera, Serena Mucci, Nicola Bracci, Massimo Rapisarda, Venerando Medicina (Kaunas) Article Background and objectives: Evidence shows that shift work may be correlated with insulin resistance (IR). Therefore its estimation in clinical and prevention practice is of great significance. A cross-sectional study was performed to examine the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) Index among healthcare shift workers (HCSW). Materials and Methods: A total of 272 healthcare workers (HCWs) were invited to participate in the study within an occupational surveillance framework, 137 were HCSW while 135 were healthcare non-shift workers (HCNSW). Fasting glucose, insulin, and HOMA-IR Index were evaluated in each participant and correlated with shift workers. Results: Indicators of glucose metabolism were significantly higher in HCSW p < 0.001, and logistic regression analysis confirmed a significant positive association between increased values of HOMA-IR Index and shift workers (p < 0.05). Conclusions: Shift work could be a risk factor in developing insulin resistance and metabolic syndrome. MDPI 2019-05-22 /pmc/articles/PMC6571567/ /pubmed/31121834 http://dx.doi.org/10.3390/medicina55050186 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ledda, Caterina
Cinà, Diana
Matera, Serena
Mucci, Nicola
Bracci, Massimo
Rapisarda, Venerando
High HOMA-IR Index in Healthcare Shift Workers
title High HOMA-IR Index in Healthcare Shift Workers
title_full High HOMA-IR Index in Healthcare Shift Workers
title_fullStr High HOMA-IR Index in Healthcare Shift Workers
title_full_unstemmed High HOMA-IR Index in Healthcare Shift Workers
title_short High HOMA-IR Index in Healthcare Shift Workers
title_sort high homa-ir index in healthcare shift workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6571567/
https://www.ncbi.nlm.nih.gov/pubmed/31121834
http://dx.doi.org/10.3390/medicina55050186
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