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Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population

BACKGROUND: Chronic stress may facilitate the development of metabolic diseases. Insulin resistance is present long before the clinical manifestations of individual metabolic abnormalities. To explore whether chronic stress is an independent risk factor of insulin resistance, we investigated the rel...

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Autores principales: Yan, Yu-Xiang, Xiao, Huan-Bo, Wang, Si-Si, Zhao, Jing, He, Yan, Wang, Wei, Dong, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919480/
https://www.ncbi.nlm.nih.gov/pubmed/26830350
http://dx.doi.org/10.2188/jea.JE20150183
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author Yan, Yu-Xiang
Xiao, Huan-Bo
Wang, Si-Si
Zhao, Jing
He, Yan
Wang, Wei
Dong, Jing
author_facet Yan, Yu-Xiang
Xiao, Huan-Bo
Wang, Si-Si
Zhao, Jing
He, Yan
Wang, Wei
Dong, Jing
author_sort Yan, Yu-Xiang
collection PubMed
description BACKGROUND: Chronic stress may facilitate the development of metabolic diseases. Insulin resistance is present long before the clinical manifestations of individual metabolic abnormalities. To explore whether chronic stress is an independent risk factor of insulin resistance, we investigated the relationship between the stress system, selected parameters of energy homeostasis, and insulin resistance in a Chinese population. METHODS: We recruited 766 workers employed at four companies in Beijing. The degree of insulin resistance was determined using the homeostasis model assessment of insulin resistance (HOMA-IR). The highest quartile of HOMA-IR among all study subjects was further defined as insulin resistance in our study. The short standard version of the Copenhagen Psychosocial Questionnaire (COPSOQ) was used to assess job-related psychosocial stress. Pearson’s correlation coefficients were calculated between cortisol level and HOMA-IR and components of metabolic syndrome, with stratification by gender. The relationship between cortisol and HOMA-IR independent of obesity was analyzed using a linear mixed model with company as a cluster unit. RESULTS: The values of the two scales of COPSOQ, including “demands at work” and “insecurity at work”, were significantly associated with insulin resistance and cortisol concentration (P < 0.05). Cortisol was significantly positively correlated with glucose, HOMA-IR, and waist circumference in males and females (P < 0.05). After adjusting for potential confounders, cortisol was an independent positive predictor for HOMA-IR (P < 0.05). CONCLUSIONS: These findings showed that chronic stress was associated with insulin resistance and may contribute to the development of insulin resistance.
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spelling pubmed-49194802016-07-05 Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population Yan, Yu-Xiang Xiao, Huan-Bo Wang, Si-Si Zhao, Jing He, Yan Wang, Wei Dong, Jing J Epidemiol Original Article BACKGROUND: Chronic stress may facilitate the development of metabolic diseases. Insulin resistance is present long before the clinical manifestations of individual metabolic abnormalities. To explore whether chronic stress is an independent risk factor of insulin resistance, we investigated the relationship between the stress system, selected parameters of energy homeostasis, and insulin resistance in a Chinese population. METHODS: We recruited 766 workers employed at four companies in Beijing. The degree of insulin resistance was determined using the homeostasis model assessment of insulin resistance (HOMA-IR). The highest quartile of HOMA-IR among all study subjects was further defined as insulin resistance in our study. The short standard version of the Copenhagen Psychosocial Questionnaire (COPSOQ) was used to assess job-related psychosocial stress. Pearson’s correlation coefficients were calculated between cortisol level and HOMA-IR and components of metabolic syndrome, with stratification by gender. The relationship between cortisol and HOMA-IR independent of obesity was analyzed using a linear mixed model with company as a cluster unit. RESULTS: The values of the two scales of COPSOQ, including “demands at work” and “insecurity at work”, were significantly associated with insulin resistance and cortisol concentration (P < 0.05). Cortisol was significantly positively correlated with glucose, HOMA-IR, and waist circumference in males and females (P < 0.05). After adjusting for potential confounders, cortisol was an independent positive predictor for HOMA-IR (P < 0.05). CONCLUSIONS: These findings showed that chronic stress was associated with insulin resistance and may contribute to the development of insulin resistance. Japan Epidemiological Association 2016-07-05 /pmc/articles/PMC4919480/ /pubmed/26830350 http://dx.doi.org/10.2188/jea.JE20150183 Text en © 2016 Yu-Xiang Yan et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Yan, Yu-Xiang
Xiao, Huan-Bo
Wang, Si-Si
Zhao, Jing
He, Yan
Wang, Wei
Dong, Jing
Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title_full Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title_fullStr Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title_full_unstemmed Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title_short Investigation of the Relationship Between Chronic Stress and Insulin Resistance in a Chinese Population
title_sort investigation of the relationship between chronic stress and insulin resistance in a chinese population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919480/
https://www.ncbi.nlm.nih.gov/pubmed/26830350
http://dx.doi.org/10.2188/jea.JE20150183
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