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Hong HC, Kim YM. Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study. JMIR Public Health Surveill 2024; 10:e55014. [PMID: 38857074 PMCID: PMC11196912 DOI: 10.2196/55014] [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: 11/30/2023] [Revised: 02/11/2024] [Accepted: 05/14/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Multimorbidity is a crucial factor that influences premature death rates, poor health, depression, quality of life, and use of health care. Approximately one-fifth of the global workforce is involved in shift work, which is associated with increased risk for several chronic diseases and multimorbidity. About 12% to 14% of wage workers in Korea are shift workers. However, the prevalence of multimorbidity and its associated factors in Korean shift workers are rarely reported. OBJECTIVE This study aimed to assess multimorbidity prevalence, examine the factors associated with multimorbidity, and identify multimorbidity patterns among shift workers in Korea. METHODS This study is a population-based cross-sectional study using Korea National Health and Nutrition Examination Survey data from 2016 to 2020. The study included 1704 (weighted n=2,697,228) Korean shift workers aged 19 years and older. Multimorbidity was defined as participants having 2 or more chronic diseases. Demographic and job-related variables, including regular work status, average working hours per week, and shift work type, as well as health behaviors, including BMI, smoking status, alcohol use, physical activity, and sleep duration, were included in the analysis. A survey-corrected logistic regression analysis was performed to identify factors influencing multimorbidity among the workers, and multimorbidity patterns were identified with a network analysis. RESULTS The overall prevalence of multimorbidity was 13.7% (302/1704). Logistic regression indicated that age, income, regular work, and obesity were significant factors influencing multimorbidity. Network analysis results revealed that chronic diseases clustered into three groups: (1) cardiometabolic multimorbidity (hypertension, dyslipidemia, diabetes, coronary heart disease, and stroke), (2) musculoskeletal multimorbidity (arthritis and osteoporosis), and (3) unclassified diseases (depression, chronic liver disease, thyroid disease, asthma, cancer, and chronic kidney disease). CONCLUSIONS The findings revealed that several socioeconomic and behavioral factors were associated with multimorbidity among shift workers, indicating the need for policy development related to work schedule modification. Further organization-level screening and intervention programs are needed to prevent and manage multimorbidity among shift workers. We also recommend longitudinal studies to confirm the effects of job-related factors and health behaviors on multimorbidity among shift workers in the future.
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Affiliation(s)
- Hye Chong Hong
- Department of Nursing, Chung-Ang University, Seoul, Republic of Korea
| | - Young Man Kim
- College of Nursing, Jeonbuk National University, Jeonju, Republic of Korea
- Research Institute of Nursing Science, Jeonbuk National University, Jeonju, Republic of Korea
- Biomedical Research Institute, Jeonbuk National University Hospital, Jeonju, Republic of Korea
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Kyung M, Park S, Park CG, Hong O. Association between Sleep Duration, Social Jetlag, and the Metabolic Syndrome by Shift Works. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:668. [PMID: 38928916 PMCID: PMC11204024 DOI: 10.3390/ijerph21060668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/15/2024] [Accepted: 05/19/2024] [Indexed: 06/28/2024]
Abstract
Lifestyle factors, including sleep characteristics, have been implicated in the development of metabolic syndrome, particularly among shift workers. This study aimed to explore the relationship between shift work, sleep duration, social jetlag, and the risk of metabolic syndrome among U.S. workers and the moderating effect of sleep duration and social jetlag on this relationship. Data from the National Health and Nutrition Examination Survey (NHANES) in 2017-2020 March were analyzed. Poisson regression models were employed to examine associations. Among 4136 U.S. workers, 53.3% had metabolic syndrome, with a higher proportion of shift workers (63.8% vs. 56.7%, p = 0.001) and those sleeping less than 6 h or more than 9 h per week (22.3% vs. 19.1%, p = 0.044) in the affected group. Shift workers were initially found to have an increased risk of metabolic syndrome (Coef. = 0.03, 95% CI: 0.02, 0.16); however, this association was mitigated when accounting for the interaction with social jetlag. Specifically, 1 to <2 h of social jetlag interacted significantly, increasing metabolic risk (Coef. = 0.15, 95% CI: 0.09, 0.22), whereas 1 to <2 h alone showed a protective effect (Coef. = -0.11, 95% CI: -0.17, -0.06). These findings suggest that optimizing sleep schedules and addressing social jetlag may be crucial in mitigating metabolic syndrome risks among shift workers.
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Affiliation(s)
- Minjung Kyung
- School of Nursing, College of Nursing, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea
| | - Sungwon Park
- School of Nursing, University of Michigan, 400 North Ingalls Street, Ann Arbor, MI 48109, USA;
| | - Chang Gi Park
- College of Nursing, University of Illinois at Chicago, 845 S. Damen Ave., MC 802, Chicago, IL 60612, USA;
| | - OiSaeng Hong
- School of Nursing, University of California, San Francisco, 2 Koret Way, San Francisco, CA 94143, USA;
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Anderson ST, Meng H, Brooks TG, Tang SY, Lordan R, Sengupta A, Nayak S, Mřela A, Sarantopoulou D, Lahens NF, Weljie A, Grant GR, Bushman FD, FitzGerald GA. Sexual dimorphism in the response to chronic circadian misalignment on a high-fat diet. Sci Transl Med 2023; 15:eabo2022. [PMID: 37196066 DOI: 10.1126/scitranslmed.abo2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/14/2023] [Indexed: 05/19/2023]
Abstract
Longitudinal studies associate shiftwork with cardiometabolic disorders but do not establish causation or elucidate mechanisms of disease. We developed a mouse model based on shiftwork schedules to study circadian misalignment in both sexes. Behavioral and transcriptional rhythmicity were preserved in female mice despite exposure to misalignment. Females were protected from the cardiometabolic impact of circadian misalignment on a high-fat diet seen in males. The liver transcriptome and proteome revealed discordant pathway perturbations between the sexes. Tissue-level changes were accompanied by gut microbiome dysbiosis only in male mice, biasing toward increased potential for diabetogenic branched chain amino acid production. Antibiotic ablation of the gut microbiota diminished the impact of misalignment. In the United Kingdom Biobank, females showed stronger circadian rhythmicity in activity and a lower incidence of metabolic syndrome than males among job-matched shiftworkers. Thus, we show that female mice are more resilient than males to chronic circadian misalignment and that these differences are conserved in humans.
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Affiliation(s)
- Seán T Anderson
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hu Meng
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Thomas G Brooks
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Soon Yew Tang
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ronan Lordan
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Arjun Sengupta
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Soumyashant Nayak
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Antonijo Mřela
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dimitra Sarantopoulou
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nicholas F Lahens
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Aalim Weljie
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Gregory R Grant
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Frederic D Bushman
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Garret A FitzGerald
- Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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Ye BJ. Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study. Healthcare (Basel) 2023; 11:healthcare11060802. [PMID: 36981459 PMCID: PMC10048347 DOI: 10.3390/healthcare11060802] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 03/06/2023] [Accepted: 03/07/2023] [Indexed: 03/11/2023] Open
Abstract
(1) Background: Previous studies on the association between shift work and metabolic syndrome have had inconsistent results. This may be due to the cross-sectional study design and non-objective data used in those studies. Hence, this study aimed to identify risk factors for Metabolic syndrome using objective information provided by the relevant companies and longitudinal data provided in health examinations. (2) Methods: In total, 1211 male workers of three manufacturing companies, including shift workers, were surveyed annually for 4 years. Data on age, smoking, drinking, physical activity, length of shift work, type of shift, past history, waist circumference, blood pressure, blood sugar, triglyceride, and high-density cholesterol (HDL) were collected and analyzed using generalized estimating equations (GEE) to identify the risk factors for Metabolic syndrome. (3) Results: In the multivariate analysis of Metabolic syndrome risk factors, age (OR = 1.078, 95% CI: 1.045–1.112), current smoking (OR = 1.428, 95% CI: 1.815–5.325), and BMI (OR = 1.498, 95% CI: 1.338–1.676) were statistically significant for day workers (n= 510). Additionally, for shift workers (N = 701), age (OR = 1.064, 95% CI: 1.008–1.174), current smoking (OR = 2.092, 95% CI: 1.854–8.439), BMI (OR = 1.471, 95% CI: 1.253–1.727) and length of shift work (OR = 1.115, 95% CI: 1.010-1.320) were statistically significant. Shift work was associated with a higher risk of Metabolic syndrome (OR = 1.093, 95% CI: 1.137–2.233) compared to day workers. For shift workers, shift work for more than 20 years was associated with Metabolic syndrome (OR = 2.080, 95% CI: 1.911–9.103), but the dose–response relationship was not statistically significant. (4) Conclusions: This study revealed that age, current smoking, BMI, and shift work are potential risk factors for Metabolic syndrome. In particular, the length of shift work (>20 years) is a potential risk factor for Metabolic syndrome in shift workers. To prevent metabolic syndrome in shift workers, health managers need to actively accommodate shift workers (especially those who have worked for more than 20 years), current smokers, and obese people. A long-term cohort study based on objective data is needed to identify the chronic health impact and the risk factors of shift work.
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Affiliation(s)
- Byeong-Jin Ye
- Department of Occupational and Environmental Medicine & Institute of Environmental and Occupational Medicine, Busan Paik Hospital, Inje University, Busan 47392, Republic of Korea
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Dong C, Zeng H, Yang B, Zhang Y, Li Z. The association between long-term night shift work and metabolic syndrome: a cross-sectional study of male railway workers in southwest China. BMC Cardiovasc Disord 2022; 22:263. [PMID: 35690716 PMCID: PMC9188692 DOI: 10.1186/s12872-022-02705-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/03/2022] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES Metabolic syndrome (MetS) increases the risk of new diabetes and cardiovascular disease. Night shift work (NSW) may influence metabolic disturbance and lead to MetS. This study aims to investigate the association between long-term NSW (≥ 10 years) and MetS combined with its components in male railway workers in southwest China. METHODS 11,023 male railway workers with long-term NSW of more than 10 years in the Physical Examination Center of the Affiliated Hospital of Chengdu University were enrolled. The basic data were collected by investigators and blood test results were collected. The primary outcome was the prevalence of metabolic syndrome. The results were analyzed using statistical software SPSS 22.0. RESULTS In total, 11,023 people over the age of 40 with more than 10 years of working experience were enrolled, and 4759 (43.2%) participants had a diagnosis of MetS. The basic data indicated that night shift workers tended to be younger, shorter working years, but with higher body mass index and longer hip circumference (p < 0.05). The adjusted analysis revealed that there was no significant association between NSW and metabolic syndrome (OR 1.03, 95% CI 0.94-1.12, p = 0.543). NSW was associated with SBP ≥ 130 mmHg (OR 1.11, 95% CI 1.02-1.21, p < 0.001) and waist circumference ≥ 90 cm (OR 1.11, 95% CI 1.02-1.21, p < 0.001). CONCLUSIONS Long-term night shift workers had a higher prevalence of MetS. However, long-term NSW is not associated with a significantly increased risk of metabolic syndrome in male railway workers in southwest China. Long-term NSW is associated with elevated SBP, and waist circumference increase.
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Affiliation(s)
- Chaohui Dong
- Department of Health Management Center, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Sichuan Province, Jinniu District, Chengdu City, 610081, China
| | - Honglian Zeng
- Department of Health Management Center, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Sichuan Province, Jinniu District, Chengdu City, 610081, China.
| | - Bo Yang
- Department of Health Management Center, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Sichuan Province, Jinniu District, Chengdu City, 610081, China
| | - Yi Zhang
- Department of Health Management Center, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu University, Sichuan Province, Jinniu District, Chengdu City, 610081, China
| | - Zhitao Li
- China Railway Chengdu Group Co., Ltd., Jinniu District, Chengdu City, 610081, Sichuan Province, China
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Rashnuodi P, Afshari D, Shirali GA, Amiri A, Zadeh MR, Samani AS. Metabolic syndrome and its relationship with shift work in petrochemical workers. Work 2022; 71:1175-1182. [DOI: 10.3233/wor-205223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND: The metabolic syndrome is a complex of interdependent risk factors for cardiovascular disease and diabetes. Shift work might have an impact on metabolic variables, and be a risk factor for type 2 diabetes. To date, only few studies have been done on the prevalence of MetS in industrial work environments in Iran, and most of them have been conducted on a small sample size. OBJECTIVE: The aim of this study was to evaluate the impact of shift work on prevalence of metabolic syndrome in one of the petrochemical companies in Iran. METHODS: This cross-sectional study was conducted among 692 male workers of a petrochemical company in south-west Iran. Metabolic syndrome was diagnosed according to criteria recommended by Adult Treatment Panel III. In order to determine correlation between MetS and its factors with shift work odds ratio (ORs) for the MetS, 95% confidence level (95% CL), chi-square test and logistic regression analysis were performed. RESULTS: Overall 15.1% of workers were diagnosed with metabolic syndrome and 80% of them were shift workers. A significant difference for prevalence of metabolic syndrome and mean values for body mass index, blood pressure, fast blood sugar, waist circumference among shift workers and non-shift workers were identified (p < 0.001). Compared with the day workers, shift workers had a significantly higher risk of MetS (odds ratio = 4.852; 95% CI 2.34–9.974). CONCLUSIONS: There is an association between metabolic syndrome and shift work in petrochemical workers. Promising intervention strategies are needed for prevention of metabolic disorders for shift workers.
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Affiliation(s)
- Payam Rashnuodi
- Occupational Health Engineering, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Davood Afshari
- Department of Occupational Health Engineering, Faculty of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Gholam Abbas Shirali
- Department of Occupational Health Engineering, Faculty of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Arman Amiri
- Occupational Health Engineering, Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Marziye Raesi Zadeh
- Occupational Health Engineering, Student Research Committee, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Ali Sahraneshin Samani
- Department of Occupational Health Engineering, Faculty of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Association between metabolic syndrome and shift work in chemical plant workers. Ann Occup Environ Med 2021; 33:e31. [PMID: 34868601 PMCID: PMC8602806 DOI: 10.35371/aoem.2021.33.e31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 10/05/2021] [Indexed: 11/29/2022] Open
Abstract
Background The study aimed to determine the association between shift work and metabolic syndrome and the prevalence of metabolic syndrome in the shift and day work groups among workers working in chemical plants. Methods Based on medical examination data collected in February 2019, 3,794 workers working at a chemical plant in Korea were selected. Multiple logistic regression analysis was performed by adjusting for age, sex, body mass index (BMI), drinking, exercise, smoking, employment period and organic compounds exposure. Results The prevalence of metabolic syndrome in the entire study group was 23.4%, and the prevalence and components of metabolic syndrome in shift worker; waist circumference were higher than those of day workers (84.77 ± 8.64 vs. 83.41 ± 9.42, p < 0.001), systolic blood pressure (129.89 ± 9.47 vs. 127.57 ± 9.47, p < 0.001), diastolic blood pressure (81.22 ± 7.59 vs. 79.34 ± 7.46, p < 0.001), fasting blood glucose (99.27 ± 17.13 vs. 97.87 ± 13.07, p = 0.007), triglycerides (149.70 ± 101.15 vs. 133.55 ± 105.17, p < 0.001), and decreased high-density lipoprotein (53.18 ± 12.82 vs. 55.61 ± 14.17, p < 0.001). As a result of logistic regression analysis on the risk of metabolic syndrome, even after adjusting for age, sex BMI, drinking, smoking, exercise, employment period, organic compound exposure. the odds ratio (OR) for the shift group was 1.300 for daytime workers (Model 1, OR: 1.491; 95% confidence interval [CI]: 1.273–1.747; Model 2, OR: 1.260; 95% CI: 1.070–1.483; Model 3, OR: 1.309, 95% CI: 1.081–1.585; Model 4, OR: 1.300; 95% CI: 1.063–1.591). Conclusions Shift work in chemical plant workers increased the risk of metabolic syndrome, even after adjusting for general factors. To analyze the occupational cause and risk control, it is necessary to analyze the hazardous substances the workers were exposed to and their working environment. Additionally, a large-scale prospective analysis including general factors not analyzed in this study, such as eating habits, is required.
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Chang WP, Lin YK. Relationship between rotating shift work and white blood cell count, white blood cell differential count, obesity, and metabolic syndrome of nurses. Chronobiol Int 2021; 39:159-168. [PMID: 34661509 DOI: 10.1080/07420528.2021.1989447] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
This study investigated the relationship between working rotating shifts and white blood cell (WBC) count, WBC differential count (DC), obesity, and metabolic syndrome of nurses. Samples were obtained from a total of 720 nurses who had received health checkups at a large teaching hospital in Taiwan. Among these nurses, 500 worked rotating shifts, and the remaining 220 nurses worked fixed daytime shifts. We used binary logistic regression to identify the risk factors of obesity or metabolic syndrome. The results indicate that nurses working rotating shifts had a significantly higher WBC count than those working fixed daytime shifts. WBC count was an independent factor relating to an overly large waist circumference or overly high body mass index (BMI) of nurses. For every 103/μL increase in WBC count, the risk of waist circumference exceeding 90 cm and 80 cm respectively in male and female nurses increased by 46%, and for every 103/μL increase in WBC count, the risk of a BMI 24 kg/m2 in nurses increased by 50%. Similarly, WBC count and work type were independent factors influencing the metabolic syndrome of nurses. For every 103/μL increase in WBC count, the risk of metabolic syndrome occurring in nurses increased by 65%. Nurses working rotating shifts were at a 3.34 times greater risk of having metabolic syndrome than those working fixed daytime shifts. The mean age of our participants was 29.54 years old, and only approximately 4% of the participants had metabolic syndrome. Among these nurses, we found that high WBC was correlated with an overly large waist circumference and overly high BMI. Furthermore, the nurses working rotating shifts may have been at greater risk of metabolic syndrome than those working fixed daytime shifts, and increases in WBC were also associated with the occurrence of metabolic syndrome.
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Affiliation(s)
- Wen-Pei Chang
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.,Department of Nursing, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan
| | - Yen-Kuang Lin
- Graduate Institute of Athletics and Coaching Science, National Taiwan
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Shah A, Turkistani A, Luenam K, Yaqub S, Ananias P, Jose AM, Melo JP, Mohammed L. Is Shift Work Sleep Disorder a Risk Factor for Metabolic Syndrome and Its Components? A Systematic Review of Cross-Sectional Studies. Metab Syndr Relat Disord 2021; 20:1-10. [PMID: 34637354 DOI: 10.1089/met.2021.0070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Shift work sleep disorder is prevalent in night shift workers due to prolonged misalignment of the circadian rhythm. Night shift workers comprise a significant portion of the workforce and it is important to study the potential implications on their health. Studies have shown the association of metabolic syndrome (MetS) and the components, that is, obesity, dyslipidemia, hypertension, and insulin resistance, with shift workers. Nocturnal exposure to bright light can affect various physiological processes including melatonin secretion, which is a regulator in insulin synthesis. A systematic review was conducted to identify studies showing the association between shift work and MetS and/or its components, as well as to review the pathophysiology for further investigations. This review follows the guidelines as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist 2009. One thousand nine hundred ten records were identified from the PubMed database using both keywords and medical subject headings terms. After applying the inclusion/exclusion and eligibility criteria, 18 observational studies were included in the qualitative synthesis. Quality appraisal was conducted by two investigators independently using the Newcastle/Ottawa Scale, and 11 articles were finalized for the review after scoring 60% and above. Each study measured the different components of MetS and/or the presence of MetS. Statistically significant results were reported for the association between shift work and MetS, shift work and obesity, shift work and dyslipidemia, shift work and hypertension, and shift work and insulin resistance. This review identifies a need to emphasize treatment plans for shift workers to manage not only sleep disorders but other chronic diseases such as MetS, obesity, hypertension, dyslipidemia, and insulin resistance.
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Affiliation(s)
- Arpita Shah
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA.,Medicine, American University of the Caribbean, Cupecoy, St. Maarten
| | - Arifa Turkistani
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA
| | - Kanita Luenam
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA.,Medicine, Medical University of Lublin, Lublin, Poland
| | - Sayma Yaqub
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA.,Public Health, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Patricia Ananias
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA
| | - Arunima Mariya Jose
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA.,Internal Medicine, Sree Gokulam Medical College and Research Foundation, Trivandrum, India
| | - Joao Pedro Melo
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA
| | - Lubna Mohammed
- Department of Family Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, California, USA
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10
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Yang X, Di W, Zeng Y, Liu D, Han M, Qie R, Huang S, Zhao Y, Feng Y, Hu D, Sun L. Association between shift work and risk of metabolic syndrome: A systematic review and meta-analysis. Nutr Metab Cardiovasc Dis 2021; 31:2792-2799. [PMID: 34332862 DOI: 10.1016/j.numecd.2021.06.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 06/11/2021] [Accepted: 06/11/2021] [Indexed: 01/11/2023]
Abstract
AIMS A comprehensive assessment of the association of shift work with risk of metabolic syndrome (MetS) through a systematic review and meta-analysis has not been reported. We aimed to evaluate the relationship from observational studies. DATA SYNTHESIS We searched PubMed, Embase, and Web of Science databases from inception to December 16, 2020. Articles were chosen according to established inclusion criteria. Studies with data on men and women and different types of shift work were treated as independent studies. Relative risks (RRs) and 95% confidence intervals (CIs) were pooled by using random-effects models with heterogeneity (I2) > 50%; otherwise, a fixed-effects model was used. A total of 7192 articles was searched from PubMed, Embase and Web of science. Finally, we included 23 articles (38 studies) in this meta-analysis. The pooled RRs and 95% CI of MetS risk with shift work, 1-shift work, 2-shift work, and 3-shift work versus non-shift work were 1.30 (95% CI 1.19-1.41), 0.95 (95% CI 0.82-1.11), 1.19 (95% CI 0.91-1.56) and 1.17 (95% CI 1.00-1.37), respectively. The results from subgroup analyses stratified by sex, age, and region supported our overall findings that shift work is a risk factor for MetS. CONCLUSIONS This meta-analysis suggests that shift work increases risk of MetS. Higher risk of MetS was found in the shift workers who were 2-shift or 3-shift or women or Asian workers.
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Affiliation(s)
- Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Wencheng Di
- Department of Cardiology, Shenzhen Third People's Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Yunhong Zeng
- Center for Health Management, Shenzhen Hospital of University of Chinese Academy of Science, Shenzhen, Guangdong, People's Republic of China
| | - Dechen Liu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China; Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Minghui Han
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Ranran Qie
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Shengbing Huang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Liang Sun
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Wang Y, Yu L, Gao Y, Jiang L, Yuan L, Wang P, Cao Y, Song X, Ge L, Ding G. Association between shift work or long working hours with metabolic syndrome: a systematic review and dose-response meta-analysis of observational studies. Chronobiol Int 2021; 38:318-333. [PMID: 33557625 DOI: 10.1080/07420528.2020.1797763] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
This meta-analysis investigates the relationship between both shift work and long working hours and risk of developing metabolic syndrome (MetS). PubMed, EMBASE, and Web of Science databases were searched from the outset to December 10, 2019. Two reviewers independently screened studies, extracted data, and assessed the risk of bias of included studies. A total of 36 (30 cross-sectional, 5 cohort, and a nested case-control) studies, involving 274,263 participants, were included. The pooled odds ratio of shift work and development of MetS was 1.35 (95% confidence interval: 1.24-1.48), and the pooled odds ratio of long working hours and development of MetS was 1.19 (95% confidence interval: 0.97-1.46). In the subgroup analysis stratified by gender, the pooled odds ratios for male and female shift workers were 1.25 (95% confidence interval: 1.14-1.37) and 1.47 (95% confidence interval: 1.18-1.82), respectively. The dose-response (number of years of shift work and development of MetS) analysis showed the pooled odds ratio for 5 years of shift work was 1.07 (95% confidence interval: 1.05-1.09) and for 10 years of shift work 1.11 (95% confidence interval: 1.06-1.15). Our meta-analysis confirmed shift work is significantly associated with risk of metabolic syndrome, but the relationship between long working hours and MetS was not substantiated. Additionally, there was a nonlinear dose-response relationship between the number of years of shift work and risk of MetS, showing positive relationship to about 20 years of shift work but not for longer than 20 years. Prospective cohort studies regarding specific shift work schedules are needed to confirm these results.
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Affiliation(s)
- Yihui Wang
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Li Yu
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Yinyan Gao
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Lili Jiang
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Lin Yuan
- Department of Nutrition and Food Hygiene, School of Public Health, Lanzhou University, Gansu, China
| | - Pengju Wang
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Yanwen Cao
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Xuping Song
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
| | - Long Ge
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China.,Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Gansu, China
| | - Guowu Ding
- Department of Social Medicine and Health Administration, School of Public Health, Lanzhou University, Gansu, China
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12
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Khosravipour M, Khanlari P, Khazaie S, Khosravipour H, Khazaie H. A systematic review and meta-analysis of the association between shift work and metabolic syndrome: The roles of sleep, gender, and type of shift work. Sleep Med Rev 2021; 57:101427. [PMID: 33556868 DOI: 10.1016/j.smrv.2021.101427] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 10/09/2020] [Accepted: 10/15/2020] [Indexed: 12/13/2022]
Abstract
This study was conducted to investigate the association between shift work and metabolic syndrome (MetS) and quantify the roles of sleep, gender, and type of shift work. We searched online databases, including PubMed, Scopus, and Web of Science on November 17, 2019. Of the 821 articles identified, 38 observational studies (27 cross-sectional, 10 cohorts, and one nested case-control), conducted on 128,416 participants, met our eligibility criteria. The pooled Odds ratio (OR) and 95% Confidence interval (CI) of MetS in shift-versus day-workers were estimated as 1.14 (1.07, 1.21) and 1.11 (1.06, 1.17) for the unadjusted and adjusted models. This association remained significant only for the studies with a cross-sectional design. There was a significantly higher odds of MetS in the studies conducted only on females (1.13 [1.06, 1.20]) or males (1.12 [1.02, 1.21]). The pooled adjusted OR (95% CI) for the studies without and with sleep adjustment was calculated as 1.14 (1.08, 1.21) and 1.29 (1.06, 1.52). We observed that rotating shift workers had stronger odds of MetS than the other shift workers. In conclusion, our findings revealed the significant odds of an association between shift work and MetS and different effects for sleep, gender, and type of shift work.
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Affiliation(s)
- Masoud Khosravipour
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran; Department of Occupational Health Engineering, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran; Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Payam Khanlari
- Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran; Department of Ergonomics, School of Health, Hamadan University of Medical Sciences, Hamadan, Iran.
| | - Sepideh Khazaie
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran; Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hadis Khosravipour
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
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13
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Jung H, Dan H, Pang Y, Kim B, Jeong H, Lee JE, Kim O. Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses' Health Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207697. [PMID: 33096883 PMCID: PMC7589731 DOI: 10.3390/ijerph17207697] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 10/16/2020] [Accepted: 10/20/2020] [Indexed: 02/07/2023]
Abstract
Metabolic syndrome (MetS) is an important public health problem, and unhealthy dietary habits and shift work are considered major factors that increase the prevalence of MetS. The purpose of this study was to examine whether dietary habits, alcohol drinking, and shift-working were associated with development of MetS in shift-working female nurses. This study analyzed cross-sectional survey data from the Korea Nurses’ Health Study (KNHS). Of the 1638 nurses, 403 participants were selected based on the propensity score matching method (PSM). These participants had either no or more than three MetS determinant factors. Analysis was conducted by using multivariable logistic regression to confirm the factors influencing MetS. The prevalence of MetS in this group (1638 participants) was 5.6% (92 participants). Consumption of over 50% of daily calorie intake after 7 p.m., consumption of carbonated drinks, family history of diabetes, and non-shift work were significant factors influencing MetS. Nurses are one of the at-risk groups for unhealthy dietary habits due to the nature of their work. Therefore, nurse managers should include regular dietary education for nurses and continue their policy efforts to resolve health problems that may arise in connection with nurses’ work.
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Affiliation(s)
- Heeja Jung
- College of Nursing, Konyang University, Daejeon 35365, Korea;
| | - Hyunju Dan
- College of Nursing, Ewha Womans University, Seoul 03760, Korea; (H.D.); (Y.P.); (B.K.); (H.J.)
| | - Yanghee Pang
- College of Nursing, Ewha Womans University, Seoul 03760, Korea; (H.D.); (Y.P.); (B.K.); (H.J.)
| | - Bohye Kim
- College of Nursing, Ewha Womans University, Seoul 03760, Korea; (H.D.); (Y.P.); (B.K.); (H.J.)
| | - Hyunseon Jeong
- College of Nursing, Ewha Womans University, Seoul 03760, Korea; (H.D.); (Y.P.); (B.K.); (H.J.)
| | - Jung Eun Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul 08826, Korea;
| | - Oksoo Kim
- College of Nursing, Ewha Womans University, Seoul 03760, Korea; (H.D.); (Y.P.); (B.K.); (H.J.)
- Correspondence: ; Tel.: +82-02-3277-3703
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14
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Kakinuma M, Ide H, Nakao K, Ichikawa D, Nagai R, Furui Y. Metabolic syndrome: Association between prevalence and risk at worksites. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2019; 75:226-234. [PMID: 31063040 DOI: 10.1080/19338244.2019.1610347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
This study, conducted at major Japanese companies, aimed to determine if asymptomatic workers in workplaces with a high prevalence of metabolic syndrome have a greater risk of developing metabolic syndrome. Data were obtained from the health records of 298,145 people, from 2011 to 2015. We collected data on the participants' age, sex, physical examinations, laboratory tests, and lifestyle behaviors. To test whether the risk of metabolic syndrome in asymptomatic workers differed between groups with a higher and lower prevalence in 2011, Cox proportional hazards regression model was performed, with the covariates being controlled for. The analysis showed that the risk of metabolic syndrome among asymptomatic workers in the high-prevalence group was about 1.1-fold elevated compared to those within the low-prevalence group. As a follow-up to these results, interventions aimed at asymptomatic workers should be provided in workplaces with a high prevalence of metabolic syndrome.
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Affiliation(s)
- Michiru Kakinuma
- Policy Alternatives Research Institute, The University of Tokyo, Tokyo, Japan
| | - Hiroo Ide
- Policy Alternatives Research Institute, The University of Tokyo, Tokyo, Japan
| | - Kyoko Nakao
- Policy Alternatives Research Institute, The University of Tokyo, Tokyo, Japan
| | - Daisuke Ichikawa
- Department of Clinical Information Engineering, Division of Social Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | | | - Yuji Furui
- Policy Alternatives Research Institute, The University of Tokyo, Tokyo, Japan
- Jichi Medical University, Tochigi, Japan
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15
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Nikpour M, Tirgar A, Hajiahmadi M, Hosseini A, Heidari B, Ghaffari F, Ebadi A, Nasiri F, Firouzbakht M. Shift work and metabolic syndrome: A multi-center cross-sectional study on females of reproductive age. Biomed Rep 2019; 10:311-317. [PMID: 31086665 DOI: 10.3892/br.2019.1205] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 04/01/2019] [Indexed: 12/26/2022] Open
Abstract
Shift work during reproductive age can be a risk factor for metabolic syndrome. The present study evaluated the association between shift work and metabolic syndrome during reproductive age. This multi-center cross-sectional correlational study was performed between September 2017 and May 2018. A total of 419 female shift and day workers were purposively recruited to the study from three central cities in Mazandaran, Iran. To diagnose metabolic syndrome based on the National Cholesterol Education Program Adult Treatment Panel III guidelines, the anthropometric measures, blood pressure, and levels of serum triglyceride, high-density lipoprotein and fasting blood sugar were taken. Data were analyzed using the independent-sample t, Chi-square and the Fisher's exact tests as well as the logistic regression analysis. Among the 419 participants, 28 were excluded during the study. The total prevalence of metabolic syndrome was 16.3%, and its prevalence among shift workers and day workers was 17.3 and 14.9%, respectively. The most prevalent components of metabolic syndrome were low serum level of high-density lipoprotein and abdominal obesity. Following adjustments for the effects of potential cofounders, the logistic regression analysis revealed that the odds of metabolic syndrome among shift workers was ~2 times greater than day workers (odds ratio, 1.83; 95% confidence interval, 0.088-3.79), although this association was statistically insignificant (P=0.10). The results of the current study suggest that shift work is associated with a greater risk of metabolic syndrome for women. The most important components of metabolic syndrome are low serum level of high-density lipoprotein and abdominal obesity, which are attributable to limited physical activity and high occupational stress. The risk of metabolic syndrome among female shift workers of reproductive age may be reduced through strategies, including awareness raising, dietary educations and provision of physical activity facilities in the workplace.
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Affiliation(s)
- Maryam Nikpour
- Student Research Committee, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Aram Tirgar
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Mahmod Hajiahmadi
- Department of Biostatistics, Non Communicable Pediatric Disease Research Center, Health Research Institute, Babol 47745-47176, Iran
| | - Akram Hosseini
- Clinical Research Development Center, Shahid Beheshti Hospital, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Behzad Heidari
- Mobility Impairment Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Fatemeh Ghaffari
- Nursing Care Research Center, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Abbas Ebadi
- Behavioral Sciences Research Center, Life Style Institute, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran 14359-16471, Iran
| | - Fatemh Nasiri
- Midwifery Department, Fateme Zahra Fertility and Infertility Research Health Center, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
| | - Mojgan Firouzbakht
- Student Research Committee, Health Research Institute, Babol University of Medical Sciences, Babol 47745-47176, Iran
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16
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Jeong HS. The Relationship between Workplace Environment and Metabolic Syndrome. THE INTERNATIONAL JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE 2018; 9:176-183. [PMID: 30325358 PMCID: PMC6466990 DOI: 10.15171/ijoem.2018.1346] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Accepted: 08/04/2018] [Indexed: 01/01/2023]
Abstract
Background:
Metabolic syndrome, a major risk factor for cardiovascular disease and diabetes, is recognized as an important health problem.
Objective:
To investigated whether the workplace environment was associated with metabolic syndrome.
Methods:
This study was a cross-sectional study using medical records and workplace environment reports of 1297 blue-collar Korean male workers who exposed to work hazards in one workplace. The metabolic syndrome was confirmed using the NCEP ATP III. The workplace environment was classified into organic compounds, metals, acids and bases, metalworking fluid, dust, noise and shift worker.
Results:
Among the total subjects, 257 (19.8%) had metabolic syndrome. Age, BMI, current smoking status, and at risk alcohol drinking were found to be significant predictors of metabolic syndrome. In seven workplace environment categories, the odds ratio (OR) of metabolic syndrome increased 1.785 (95% CI 1.058 to 3.013) times in the metalworking fluid environment.
Conclusion:
The workplace environment, especially metalworking fluid is associated with metabolic syndrome.
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Affiliation(s)
- Hwee-Soo Jeong
- Department of Family Medicine, Dongguk University College of Medicine, South Korea.
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Abstract
Kidney disorders have been associated with a variety of sleep-related disorders. Therefore, researchers are placing greater emphasis on finding the role of chronic kidney disease (CKD) in the development of obstructive sleep apnea and restless legs syndrome. Unfortunately, the presence of other sleep-related disorders with CKDs and non-CKDs has not been investigated with the same clinical rigor. Recent studies have revealed that myriad of sleep disorders are associated with CKDs. Furthermore, there are a few non-CKD-related disorders that are associated with sleep disorders. In this narrative review, we provide a balanced view of the spectrum of sleep disorders (as identified in International Classification of Sleep disorders-3) related to different types of renal disorders prominently including but not exclusively limited to CKD.
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Affiliation(s)
- Gaurav Nigam
- Division of Sleep Medicine, Clay County Hospital, Flora, IL
| | - Macario Camacho
- Division of Otolaryngology, Sleep Surgery and Sleep Medicine, Tripler Army Medical Center, Honolulu, HI
| | - Edward T Chang
- Division of Otolaryngology, Sleep Surgery and Sleep Medicine, Tripler Army Medical Center, Honolulu, HI
| | - Muhammad Riaz
- Division of Sleep Medicine, Astria Health Center, Grandview, WA, USA
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Mehrdad R, Pouryaghoub G, Moradi M. Association between Metabolic Syndrome and Job Rank. THE INTERNATIONAL JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE 2018; 9:45-51. [PMID: 29319054 PMCID: PMC6466972 DOI: 10.15171/ijoem.2018.1197] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/04/2017] [Accepted: 12/17/2017] [Indexed: 12/11/2022]
Abstract
Background:
The occupation of the people can influence the development of metabolic syndrome.
Objective:
To determine the association between metabolic syndrome and its determinants with the job rank in workers of a large car factory in Iran.
Methods:
3989 male workers at a large car manufacturing company were invited to participate in this cross-sectional study. Demographic and anthropometric data of the participants, including age, height, weight, and abdominal circumference were measured. Blood samples were taken to measure lipid profile and blood glucose level. Metabolic syndrome was diagnosed in each participant based on ATPIII 2001 criteria. The workers were categorized based on their job rank into 3 groups of (1) office workers, (2) workers with physical exertion, and (3) workers with chemical exposure. The study characteristics, particularly the frequency of metabolic syndrome and its determinants were compared among the study groups.
Results:
The prevalence of metabolic syndrome in our study was 7.7% (95% CI 6.9 to 8.5). HDL levels were significantly lower in those who had chemical exposure (p=0.045). Diastolic blood pressure was significantly higher in those who had mechanical exertion (p=0.026). The frequency of metabolic syndrome in the office workers, workers with physical exertion, and workers with chemical exposure was 7.3%, 7.9%, and 7.8%, respectively (p=0.836).
Conclusion:
Seemingly, there is no association between metabolic syndrome and job rank.
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Affiliation(s)
- Ramin Mehrdad
- Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran
| | - Gholamreza Pouryaghoub
- Center for Research on Occupational Diseases, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahboubeh Moradi
- Department of Occupational Medicine, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
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Plano SA, Casiraghi LP, García Moro P, Paladino N, Golombek DA, Chiesa JJ. Circadian and Metabolic Effects of Light: Implications in Weight Homeostasis and Health. Front Neurol 2017; 8:558. [PMID: 29097992 PMCID: PMC5653694 DOI: 10.3389/fneur.2017.00558] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Accepted: 10/04/2017] [Indexed: 12/21/2022] Open
Abstract
Daily interactions between the hypothalamic circadian clock at the suprachiasmatic nucleus (SCN) and peripheral circadian oscillators regulate physiology and metabolism to set temporal variations in homeostatic regulation. Phase coherence of these circadian oscillators is achieved by the entrainment of the SCN to the environmental 24-h light:dark (LD) cycle, coupled through downstream neural, neuroendocrine, and autonomic outputs. The SCN coordinate activity and feeding rhythms, thus setting the timing of food intake, energy expenditure, thermogenesis, and active and basal metabolism. In this work, we will discuss evidences exploring the impact of different photic entrainment conditions on energy metabolism. The steady-state interaction between the LD cycle and the SCN is essential for health and wellbeing, as its chronic misalignment disrupts the circadian organization at different levels. For instance, in nocturnal rodents, non-24 h protocols (i.e., LD cycles of different durations, or chronic jet-lag simulations) might generate forced desynchronization of oscillators from the behavioral to the metabolic level. Even seemingly subtle photic manipulations, as the exposure to a “dim light” scotophase, might lead to similar alterations. The daily amount of light integrated by the clock (i.e., the photophase duration) strongly regulates energy metabolism in photoperiodic species. Removing LD cycles under either constant light or darkness, which are routine protocols in chronobiology, can also affect metabolism, and the same happens with disrupted LD cycles (like shiftwork of jetlag) and artificial light at night in humans. A profound knowledge of the photic and metabolic inputs to the clock, as well as its endocrine and autonomic outputs to peripheral oscillators driving energy metabolism, will help us to understand and alleviate circadian health alterations including cardiometabolic diseases, diabetes, and obesity.
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Affiliation(s)
- Santiago A Plano
- Chronophysiology Laboratory, Institute for Biomedical Research (BIOMED - CONICET), School of Medical Sciences, Universidad Católica Argentina (UCA), Buenos Aires, Argentina.,Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
| | - Leandro P Casiraghi
- Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
| | - Paula García Moro
- Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
| | - Natalia Paladino
- Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
| | - Diego A Golombek
- Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
| | - Juan J Chiesa
- Laboratorio de Cronobiología, Universidad Nacional de Quilmes - CONICET, Buenos Aires, Argentina
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Montano D. Association Between Socioeconomic Determinants and the Metabolic Syndrome in the German Health Interview and Examination Survey for Adults (DEGS1) - A Mediation Analysis. Rev Diabet Stud 2017; 14:279-294. [PMID: 29145538 PMCID: PMC6115006 DOI: 10.1900/rds.2017.14.279] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/23/2017] [Accepted: 08/01/2017] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Metabolic syndrome and different socioeconomic characteristics including education and occupational status have been found to be associated in previous research. Nonetheless, theoretical models defining core variables and causal processes accounting for these associations are lacking. OBJECTIVES The main objectives of the present investigation are (1) to present a theoretical model integrating physiological, biochemical, and psychosocial factors determining metabolic syndrome prevalence and (2) to corroborate the hypothesis that socioeconomic determinants are (partially) mediated by health-related behaviors, health risks, and dietary habits. METHODS The research hypothesis is tested with cross-sectional data from the German Health Interview and Examination Survey for Adults (DEGS1) conducted from 2008 to 2011 (n = 7,987) by means of multivariate regression models which appropriately take into account the stochastic dependence of metabolic syndrome components. RESULTS The results suggest that the metabolic syndrome is less frequent among individuals with a higher educational level and those who have a partner. These associations may point to protective effects of social support, self-efficacy, and other socio-psychological constructs in relation to metabolic syndrome incidence. Furthermore, frequent consumption of wine, muesli, fruits, and raw vegetables are associated with lower prevalence rates of metabolic syndrome components. The associations of occupational status, income, and employment are partially mediated by health-related behavior, physiological and psychosocial factors, and dietary habits. Sensitivity analyses have suggested that even small changes in the distribution of potential risk and protective factors may reduce the prevalence of metabolic syndrome components. CONCLUSIONS Healthrelated behavior (smoking, physical activity) and physiological and psychosocial factors mediate the association between socioeconomic characteristics and metabolic syndrome prevalence. However, metabolic syndrome components were much less frequent among individuals with a higher educational level, higher income and occupational status, and those having a life partner.
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Affiliation(s)
- Diego Montano
- Department of Psychosomatic Medicine and Psychotherapy, Ulm University, Albert-Einstein-Allee 23, 89081 Ulm, Germany
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Affiliation(s)
- Jungun Lee
- Department of Family Medicine, Wonkwang University Sanbon Hospital, Wonkwang University School of Medicine, Gunpo, Korea
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