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The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis
AIMS: The aim of the study was to evaluate the association between evening chronotype and social jetlag (SJL) with obesity, blood glucose and lipid levels in non-shift working adults. METHODS: The databases of MEDLINE, EMBASE and Cochrane Reviews were searched for studies analyzing the metabolic par...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720311/ https://www.ncbi.nlm.nih.gov/pubmed/36479212 http://dx.doi.org/10.3389/fendo.2022.1008820 |
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author | Zhang, Rui Cai, Xiaoling Lin, Chu Yang, Wenjia Lv, Fang Wu, Jing Ji, Linong |
author_facet | Zhang, Rui Cai, Xiaoling Lin, Chu Yang, Wenjia Lv, Fang Wu, Jing Ji, Linong |
author_sort | Zhang, Rui |
collection | PubMed |
description | AIMS: The aim of the study was to evaluate the association between evening chronotype and social jetlag (SJL) with obesity, blood glucose and lipid levels in non-shift working adults. METHODS: The databases of MEDLINE, EMBASE and Cochrane Reviews were searched for studies analyzing the metabolic parameters among groups of different chronotypes or SJL until Feb 2022. Weighted mean difference (WMD) and 95% confidence intervals (CI) were used to analyze the association between these parameters and chronotypes or SJL. RESULTS: A total of 27 studies were included in this meta-analysis. Compared with morning chronotype, the participants with evening chronotype had higher body mass index (BMI) (WMD= 0.44 kg/m(2), 95%CI, 0.30 to 0.57 kg/m(2), p<0.001), higher fasting blood glucose level (WMD= 5.83mg/dl, 95%CI, 3.27to 8.38 mg/dl, p<0.001), higher total cholesterol level (WMD= 6.63mg/dl, 95%CI, 0.69 to 12.56 mg/dl, p=0.03), and lower high density lipoprotein cholesterol (HDL-C) level (WMD= -1.80mg/dl, 95%CI, -2.30 to -1.31 mg/dl, p<0.001). Compared with the participants with small SJL, the participants with large SJL had larger waist circumference (WMD= 0.80cm, 95%CI, 0.77 to 0.83cm, p<0.001). CONCLUSIONS: Evening chronotype and SJL were associated with obesity and unfavorable metabolic parameters of glucose and lipid metabolism. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022303401. |
format | Online Article Text |
id | pubmed-9720311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97203112022-12-06 The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis Zhang, Rui Cai, Xiaoling Lin, Chu Yang, Wenjia Lv, Fang Wu, Jing Ji, Linong Front Endocrinol (Lausanne) Endocrinology AIMS: The aim of the study was to evaluate the association between evening chronotype and social jetlag (SJL) with obesity, blood glucose and lipid levels in non-shift working adults. METHODS: The databases of MEDLINE, EMBASE and Cochrane Reviews were searched for studies analyzing the metabolic parameters among groups of different chronotypes or SJL until Feb 2022. Weighted mean difference (WMD) and 95% confidence intervals (CI) were used to analyze the association between these parameters and chronotypes or SJL. RESULTS: A total of 27 studies were included in this meta-analysis. Compared with morning chronotype, the participants with evening chronotype had higher body mass index (BMI) (WMD= 0.44 kg/m(2), 95%CI, 0.30 to 0.57 kg/m(2), p<0.001), higher fasting blood glucose level (WMD= 5.83mg/dl, 95%CI, 3.27to 8.38 mg/dl, p<0.001), higher total cholesterol level (WMD= 6.63mg/dl, 95%CI, 0.69 to 12.56 mg/dl, p=0.03), and lower high density lipoprotein cholesterol (HDL-C) level (WMD= -1.80mg/dl, 95%CI, -2.30 to -1.31 mg/dl, p<0.001). Compared with the participants with small SJL, the participants with large SJL had larger waist circumference (WMD= 0.80cm, 95%CI, 0.77 to 0.83cm, p<0.001). CONCLUSIONS: Evening chronotype and SJL were associated with obesity and unfavorable metabolic parameters of glucose and lipid metabolism. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42022303401. Frontiers Media S.A. 2022-11-21 /pmc/articles/PMC9720311/ /pubmed/36479212 http://dx.doi.org/10.3389/fendo.2022.1008820 Text en Copyright © 2022 Zhang, Cai, Lin, Yang, Lv, Wu and Ji https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Zhang, Rui Cai, Xiaoling Lin, Chu Yang, Wenjia Lv, Fang Wu, Jing Ji, Linong The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title | The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title_full | The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title_fullStr | The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title_full_unstemmed | The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title_short | The association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: A meta-analysis |
title_sort | association between metabolic parameters and evening chronotype and social jetlag in non-shift workers: a meta-analysis |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720311/ https://www.ncbi.nlm.nih.gov/pubmed/36479212 http://dx.doi.org/10.3389/fendo.2022.1008820 |
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