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Soltanzadeh A, Eyvazlou M, Mohammad-Ghasemi M, Sadeghi-Yarandi M, Rahimkhani M, Ghasemi N, Bonyadi M, Sadeghi-Yarandi M. Investigating the relationship between shift work schedule and blood and metabolic parameters: a 10-years retrospective cohort study. Sci Rep 2024; 14:17297. [PMID: 39068300 PMCID: PMC11283525 DOI: 10.1038/s41598-024-68378-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 07/23/2024] [Indexed: 07/30/2024] Open
Abstract
Shift work has become increasingly common in modern society. Shift work has been associated with a range of negative health outcomes. Therefore, this 10-years retrospective cohort study, aimed to investigate the relationship between shift work and blood and metabolic parameters. This retrospective cohort study was conducted in a metal parts manufacturing industry in 2023. In this study, 204 shift workers and 204 day workers were examined. All the studied blood and metabolic parameters were collected by reviewing the medical records of all participants during a 10-years period (2013-2022). Moreover, the amounts of physical, chemical, and ergonomics harmful agents in the work environment were investigated. All the collected data were analyzed using SPSS version 25.0. The values of Body Mass Index (BMI), Red Blood Cell Count (RBC), Platelets Count (PLT), Thyroid-Stimulating Hormone Level (TSH), Fasting Blood Sugar Level (FBS), Creatinine, Triglyceride (TG), Liver Enzymes level (SGOT and SGPT), and Systolic Blood Pressure (SBP) were higher among the shift work employees, and a significant difference was observed between the values of these parameters between the two groups. The results of logistic regression showed that the highest effect of shift work was observed on the parameters of FBS, TG, SGPT, TSH, Physical activity, BMI, Sleep duration, PLT, and Sleep quality with beta coefficient values of 0.49, 0.33, 0.29, 0.29, 0.20, 0.18, 0.14, 0.13 and, 0.11, respectively (p-value < 0.01). The present study contributes to a growing body of evidence that blood and metabolic factors are likely to be influenced by shift work. These findings have important implications for policy makers, highlighting the need for interventions to mitigate the negative health effects of shift work on workers.
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Affiliation(s)
- Ahmad Soltanzadeh
- Department of Occupational Health, School of Public Health, Qom University of Medical Sciences, Qom, Iran
| | - Meysam Eyvazlou
- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Mohammad-Ghasemi
- Department of Environmental Science and Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran
| | - Mansoureh Sadeghi-Yarandi
- Department of Counseling, Faculty of Humanities, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Monireh Rahimkhani
- Lab Medical Sciences Department, Allied Medical Sciences Faculty, Tehran University of Medical Sciences, Tehran, Iran
| | - Neda Ghasemi
- Department of Ergonomics, Faculty of Health, Yazd University of Medical Sciences, Yazd, Iran
| | - Mojdeh Bonyadi
- Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohsen Sadeghi-Yarandi
- Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
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Liu S, Gu Y. INFLA score: a novel inflammatory marker for assessing cardiometabolic disease risk in obese individuals. Diabetol Metab Syndr 2024; 16:151. [PMID: 38982554 PMCID: PMC11232261 DOI: 10.1186/s13098-024-01396-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 06/29/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND The low-grade inflammation score (INFLA-score) is a composite index that assesses chronic inflammatory status using multiple inflammatory markers. However, its correlation with cardiometabolic diseases (CMDs) in obese populations remains unclear. METHODS We conducted a prospective cohort study involving 79,160 participants with obesity (BMI ≥ 30 kg/m2) from the UK Biobank. The INFLA-score was calculated based on high-sensitivity C-reactive protein, leukocyte count, platelet count and granulocyte/lymphocyte ratio. We employed Kaplan-Meier survival curves, multivariable Cox regression, restricted cubic splines and accelerated time-to-failure models to analyse the association between the INFLA-score and CMDs risk, including coronary heart disease (CAD), stroke and type 2 diabetes mellitus (T2DM). RESULTS Over a median follow-up of 161.41 months, we recorded 14,903 CMDs events, comprising 7184 CAD cases, 1914 strokes and 7924 T2DM cases. Cox regression analysis revealed that each unit increase in the INFLA-score corresponded to a 1.5%, 1.1%, 1.2% and 2.4% increase CMDs risk (HR: 1.015, 95% CI 1.013-1.018), CAD risk (HR: 1.011, 95% CI 1.007-1.015), stroke risk (HR: 1.012, 95% CI 1.004-1.020) and T2DM risk (HR: 1.024, 95% CI 1.020-1.028), respectively. Restricted cubic spline analysis indicated a non-linear relationship between cumulative INFLA-score and CMDs risk (P = 0.044). Subgroup analysis revealed interactions between sex, age, history of lipid-lowering drug use, and INFLA-score regarding CMDs risk. Sensitivity analysis corroborated the main findings. CONCLUSION Our findings strongly support the close association between INFLA-score and CMDs risk, particularly notable in women, those aged < 55, and individuals with a history of lipid-lowering drug use. These findings offer new insights into the role of inflammation in obesity-related CMDs, suggesting potential applications for prevention and identification of high-risk populations.
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Affiliation(s)
- Shuke Liu
- Department of Cardiovascular Medicine, Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai Road, Xuzhou, 221000, Jiangsu, China
| | - Yan Gu
- Department of Cardiovascular Medicine, Affiliated Hospital of Xuzhou Medical University, No. 99 Huaihai Road, Xuzhou, 221000, Jiangsu, China.
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Łagowska K, Kuleta-Koberska A, Michalak M, Bajerska J. The effect of shift work on body mass index: A systematic review and meta-analysis of observational studies. Am J Hum Biol 2024; 36:e24041. [PMID: 38189567 DOI: 10.1002/ajhb.24041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/18/2023] [Accepted: 12/23/2023] [Indexed: 01/09/2024] Open
Abstract
CONTEXT Shift work involves working outside the standard working hours of 9 am to 5 pm Monday to Friday and may include working evening, night, weekend, or rotating shift patterns. Since shift workers sleep less and their circadian rhythms are disrupted, they are reported to have higher body weight than day workers. OBJECTIVE This meta-analysis aims to determine whether shift workers (SW) are more prone to higher body mass index (BMI) than their day workers (DW) counterparts. It also addresses the question of whether the duration of shift work exposure, sex, or occupational type affect BMI value. METHODS Four databases that is PubMed, EBSCO Host, Scopus, and Web of Science were searched for reports published up to October 2023. RESULTS Sixty-three studies involving a total of 693 449 participants met our inclusion criteria. Meta-analyses showed a significant effect of shift work on BMI value (standard mean difference; SMD: 0.10 kg/m2 [95% confidence interval; 95% CI: 0.07; 0.13; p < .001]) as compared with non-shift counterparts. Subgroup analysis revealed that shift work significantly increased BMI for studies where male working on this job schedule (SMD: 0.10 kg/m2 [95% CI: 0.04; 0.17; p = .0018]) for studies where shift workers worked ≥13 years (calculated as the median of shift work experience; SMD: 0.14 kg/m2 [95% CI: 0.10; 0.18; p < .001]) as well as for studies where industrial (SMD: 0.12 kg/m2 [95% CI: 0.05; 0.19; p = .0012]) and other type of occupations were dominated (0.12 kg/m2 [95% CI: 0.07; 0.16; p < .001]). CONCLUSIONS We found that in general working on a shift schedule increases BMI as compared with day workers, especially in case of male employed in this job schedule, for shift workers working for long periods of time (≥13 years), and for shift workers employed in industry and other type of occupations(e.g., airline workers, firefighters, police officers, blue collar, security personnel, bus drivers, garbage collectors, railway workers, postal, oil and gas workers).
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Affiliation(s)
- Karolina Łagowska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Wojska Polskiego, Poznań, Poland
| | - Agnieszka Kuleta-Koberska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Wojska Polskiego, Poznań, Poland
| | - Michał Michalak
- Department of Computer Sciences and Statistics, Poznań University of Medical Sciences, Poznań, Poland
| | - Joanna Bajerska
- Department of Human Nutrition and Dietetics, Poznań University of Life Sciences, Wojska Polskiego, Poznań, Poland
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Fu Y, Gu J, Chen LJ, Xiong M, Zhao J, Xiao X, Zhou J, Li Z, Li Y. A prospective study of nanopore-targeted sequencing in the diagnosis of central nervous system infections. Microbiol Spectr 2024; 12:e0331723. [PMID: 38294222 PMCID: PMC10913467 DOI: 10.1128/spectrum.03317-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/04/2024] [Indexed: 02/01/2024] Open
Abstract
Central nervous system (CNS) infections are a leading cause of death in patients. Nanopore-targeted sequencing (NTS) has begun to be used for pathogenic microbial detection. This study aims to evaluate the ability of NTS in the detection of pathogens in cerebrospinal fluid (CSF) through a prospective study. Fifty CSF specimens collected from 50 patients with suspected CNS infections went through three methods including NTS, metagenomic next-generation sequencing (mNGS), and microbial culture in parallel. When there was an inconsistency between NTS results and the results of the mNGS, the 16S rDNA gene was amplified followed by Sanger sequencing to further verify pathogens detected by NTS. Among 50 CSF specimens, 76% were NTS-positive, which is lower than mNGS (94.0%), yet higher than microbial culture (16.0%). The overall validation rate, diagnostic accordance rate (DAR), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of NTS were 86.7%, 50.0%, 71.0%, 15.8%, 57.9%, and 25.0%, respectively. In the CSF total nucleated cell (TNC) number ≤10 cells/µL, DAR, specificity, and PPV were 20%, 11.1%, and 11.1%, whereas in that with CSF TNC number >10 cells/µL, DAR, sensitivity, specificity, PPV, and NPV were 57.5%, 70.0%, 20.0%, 72.4%, and 18.2%, respectively. Although NTS has a higher microbial detection rate than microbial culture, it should combine CSF TNC result to evaluate the value of NTS for the diagnosis of CNS infections. IMPORTANCE This study aims to prospectively evaluate the ability of nanopore-targeted sequencing (NTS) in the detection of pathogens in cerebrospinal fluid (CSF). It was the first time combining mNGS and microbial culture to verify the NTS-positive results also using 16S rDNA amplification with Sanger sequencing. Although microbial culture was thought to be the gold standard for pathogens detection and diagnosis of infectious diseases, this study suggested that microbial culture of CSF is not the most appropriate way for diagnosing central nervous system (CNS) infection. NTS should be recommended to be used in CSF for diagnosing CNS infection. When evaluating the value of NTS for diagnosis of CNS infections, the results of CSF TNC should be combined, and NTS-positive result is observed to be more reliable in patients with CSF TNC level >10 cells/μL.
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Affiliation(s)
- Yu Fu
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jihong Gu
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Liang-Jun Chen
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Mengyuan Xiong
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jin Zhao
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xiao Xiao
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Junying Zhou
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Zhiqiang Li
- Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yirong Li
- Department of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, China
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China
- Hubei Engineering Center for Infectious Disease Prevention, Control and Treatment, Wuhan, China
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Sooriyaarachchi P, Jayawardena R, Pavey T, King NA. Shift Work is Associated with an Elevated White Blood Cell Count: A Systematic Review and Meta-Analysis. Indian J Occup Environ Med 2023; 27:278-285. [PMID: 38390477 PMCID: PMC10880826 DOI: 10.4103/ijoem.ijoem_326_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 04/16/2023] [Accepted: 05/14/2023] [Indexed: 02/24/2024] Open
Abstract
The white blood cell (WBC) count increases significantly in reaction to infections and certain chronic diseases. Shift employment increases the risk for chronic low-grade inflammation and the progression of several chronic diseases. The objective of this study was to systematically evaluate the evidence from studies on total and differential WBC counts in shift employees. A literature search was performed in PubMed®, Web of Science, and Scopus databases using keywords for research published before March 1, 2022. A meta-analysis was conducted for total and differential WBC counts using a random-effects approach. A total of 25 studies covering a sample of 37,708 day and shift employees were included in this review. The studies represented America, Europe, East Asia, and Middle East. A significant increase in the total counts (×109/L) of WBC [mean difference (MD) = 0.43; 95% confidence interval (CI): 0.34-0.52; P < 0.001], lymphocytes (MD = 0.16; 95% CI: 0.02-0.30; P = 0.02), monocytes (MD = 0.04; 95% CI: 0-0.07; P = 0.03), and eosinophils (MD = 0.01; 95% CI: 0-0.01; P = 0.03) was observed in shift workers compared to the day counterparts. However, neutrophils and basophils were not significantly different between the groups. Shift work significantly increases the total and differential blood counts in peripheral circulation. Therefore, total and differential WBC counts represent a relatively inexpensive biomarker for diagnostics and prognostics of diseases in shift workers.
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Affiliation(s)
- Piumika Sooriyaarachchi
- Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Brisbane, Queensland, Australia
- Health and Wellness Unit, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Ranil Jayawardena
- Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Brisbane, Queensland, Australia
- Department of Physiology, Faculty of Medicine, Colombo, Sri Lanka
| | - Toby Pavey
- Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Neil A. King
- Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Brisbane, Queensland, Australia
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Sooriyaarachchi P, Jayawardena R, Pavey T, King NA. The effect of shift work on different hematological parameters among healthcare workers. Chronobiol Int 2023; 40:918-925. [PMID: 37424389 DOI: 10.1080/07420528.2023.2231079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/01/2023] [Accepted: 06/24/2023] [Indexed: 07/11/2023]
Abstract
Shift workers frequently experience alterations in their circadian rhythms, which are correlated with variations in hematological parameters. Changes in blood cells may be related to an individual's health status. Therefore, this study aimed to compare the relationship between shift work and changes in blood cells among a group of healthcare workers in Sri Lanka. A comparative cross-sectional study was conducted among healthcare workers, recruited by a stratified random sampling technique. Socio-demographic data were collected using a structured questionnaire. Venous blood samples were obtained and analyzed for the determination of total and differential blood cell counts. Descriptive statistics were used for the analysis of sociodemographic and hematological parameters. A sample of 37-day workers and 39 shift workers were included in the analysis. The mean ages (years) were not significantly different between the groups (36.8 ± 10.8 vs 39.1 ± 12.0; P = 0.371). Shift employees showed a significantly higher total mean white blood cell count (WBC) of 7548.75 mm-3 compared to day workers' 6869.19 mm-3 (P = 0.027). They also had higher mean absolute counts for all different WBC types (Neutrophils: 3949.2 vs 3557.7 , Lymphocyte: 2756.5 vs 2614.2 , Eosinophil: 317.6 vs 233.4 , Monocytes: 491.63 vs 432.51 , Basophils: 31.68 vs 29.22 ). Shift employees exhibited higher WBC counts than day workers at the same level of work experience. The length of shift work exposure revealed a positive link with neutrophil (r = 0.225 ) and eosinophil counts (r = 0.262 ), whereas these correlations were negative for day workers. Shift workers were associated with higher WBC counts in healthcare workers compared to their day-working counterparts.
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Affiliation(s)
- Piumika Sooriyaarachchi
- Faculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Health and Wellness Unit, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Ranil Jayawardena
- Faculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
- Department of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Toby Pavey
- Faculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Neil A King
- Faculty of Health, School of Exercise and Nutrition Sciences, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
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