Warning: mkdir(): Permission denied in /home/virtual/lib/view_data.php on line 81

Warning: fopen(upload/ip_log/ip_log_2024-11.txt): failed to open stream: No such file or directory in /home/virtual/lib/view_data.php on line 83

Warning: fwrite() expects parameter 1 to be resource, boolean given in /home/virtual/lib/view_data.php on line 84
Effect of shift work on hypertension: cross sectional study
Skip Navigation
Skip to contents

Ann Occup Environ Med : Annals of Occupational and Environmental Medicine

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > Ann Occup Environ Med > Volume 29; 2017 > Article
Research Article Effect of shift work on hypertension: cross sectional study
Jeong Han Yeom, Chang Sun Sim, Jiho Lee, Seok Hyeon Yun, Sang Jin Park, Cheol-In Yoo, Joo Hyun Sung
Annals of Occupational and Environmental Medicine 2017;29:11.
DOI: https://doi.org/10.1186/s40557-017-0166-z
Published online: April 11, 2017

Department of Occupational and Environmental Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, 877, Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033 Republic of Korea

• Received: September 6, 2016   • Accepted: March 22, 2017

© The Author(s). 2017

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

  • 304 Views
  • 2 Download
  • 42 Web of Science
  • 38 Crossref
  • 50 Scopus
prev next
  • Background
    The need of efficient resource management and full-time accessibility to resources has increased with the development of industry, resulting in the increase of shift workers. Previous researches of past decades show that there are various health effects on shift workers. However, the definition and the form of shift work have varied from each research and occupational harmful factors except for shift work have not been excluded completely in previous researches. Therefore, in this research, we tried to find out the effect of shift work focusing on the hypertension. To complement previously mentioned weakness of other researches, we performed our research on participants to whom we could minimize other risk factors excluding shift work.
  • Methods
    This research examined 1,953 petrochemical plant male workers (shift work 1,075, day worker 878) who did medical checkup from 1st Jan. 2014 to 31th Dec. 2014 in a general hospital located in Ulsan, based on their medical records and questionnaires. With the questionnaire, we found out their basic information including age, social status, occupational history, and we took their physical measurements.
  • Results
    Compared to day workers, shift workers’ odds ratio of developing hypertension was 1.31 (95% CI 0.98–1.75). After adjusting confounding variables, adjusted odds ratio for entire subjects was 1.51 (95% CI 1.11–2.06). Also, for subjects who were in continuous service for over 20 years, odds ratio was 1.51 (95% CI 1.08–2.11).
  • Conclusions
    Shift workers had a higher chance of hypertension than day workers do. Particularly, the longer the workers work continuously, the risk of hypertension getting higher.
In today’s industrialized world, growing demands for efficient management with use of production facilities and increasing needs for 24-h access to medical services and security have promoted 24-h working environments in modern societies. With increasing number of workers in such industries, the number of shift workers has been consistently rising worldwide [1, 2]. In 2012, 10.9% and 4.9% of male and female workers in South Korea, respectively, were working shifts [3]. In 2010, the European Union reported that 23.0% and 14.0% of male and female workers, respectively, were working shifts, including night shifts [4]. According to the United States labor statistics, 29% workers do the alternative shift and 15% workers are on the regular night shifts in 2010 [5].
The definition of shift work is quite comprehensive. It is usually defined as “work beyond the typical daily working hours (about 7–8 AM to 5–6 PM)”, including graveyard shift, night shift, early morning shift, and rotational work [68].
Many reports and research in the past several decades have pointed to the disruption of the endogenous circadian rhythm as the primary effect of shift work on health, which eventually induces the destruction of biological homeostasis [911].
Several health effects can be inflicted on shift workers through such a mechanism, of which cardiovascular diseases are one of the most common consequences. In the Korean literature, it has been reported that shift work increases blood pressure, decreases heart rate variability [12], and increases risk for cardiovascular diseases [13, 14]. The studies on other country reported that compared to day workers, shift workers have a higher risk of myocardial infarction, ischemic heart disease, coronary heart disease [15], hypertension, and increased blood pressure [16].
Shift work is also known to increase the risk of gastrointestinal diseases and metabolic disorders. It has been reported that shift workers more frequently experience functional digestive disorders [17] with susceptibility to various gastrointestinal diseases, such as digestive ulcers [18], gastroesophageal reflux [19], and it is associated with elevated Body Mass Index (BMI) [20] and overweight [21], increased blood glucose level, insulin-resistance, and risk of diabetes [22]. Many studies have also suggested that shift work increases the risk of cancer development. Based on a study conducted in 2005 regarding the association between shift work and breast cancer, the International Agency for Research on Cancer of the World Health Organization concluded that shift work has potential carcinogenic effects on humans because of the disruption in the biological circadian rhythm and classified shift work as a probable carcinogen for humans (group 2A) in 2007 [23].
As shown above, many studies have suggested that shift work may cause a variety of adverse health effects, and South Korea authorities have also recognized its seriousness. As a result, the Korea Occupational Safety and Health Agency conducted the “Study of a development of the contents and diagnostic methods of the special health examination for night-shift workers” in 2012 [24]. The Enforcement Rule of the Occupational Safety and Health Act was revised on June 12, 2013 based on the findings of this study. The revision defined night shift as work between 10 PM to 6 AM and stipulated that workplaces with more than 300 full-time workers must provide night shift special health examinations from January 1, 2014 for workers who work a minimum of 4 night shifts per month on an average for 6 months or an average of 60 h or more of night shift per month.
However, the acknowledgement of shift work as a hazard for cardiovascular diseases by the Enforcement Rule of the Occupational Safety and Health Act remains a cause of controversy. Studies in the United States and Japan have shown significant increases of blood pressure caused by shift work [16, 25]. On the other hand, a study also suggested that shift work is not associated with increased blood pressure or hypertension [26].
Furthermore, studies on shift work have applied a wide-ranging definition of shift work, which led to widely varying classifications and forms of shift work in subject selection, where workers performing short-term shift work were included with those perform full-time shift work [6, 8]. Moreover, occupational hazards other than shift work were not completely excluded in some studies [11]. In addition, it was difficult to examine the health effects of long-term shift work because few studies have studied workers who have continuously engaged in shift work during service period [27]. Investigative methods were also not standardized, which has limited past studies from taking a systematic approach to exploring various health effects of shift work [24].
The aim of this study was to investigate the effect of shift work on hypertension among various health effects of shift work known so far, for which the standardized body measurements and questionnaires included in the special health examination were utilized.
Study population
This study was conducted using the health examination results and questionnaires of male workers at a petrochemical plant who underwent health exams in a general hospital in Ulsan between January 1, 2014 and December 31, 2014. As the primary duties of most petrochemical plant shift workers are comprised of device manipulations and monitoring which are all performed indoors and field inspections. These workers have little exposure to occupational risk factors other than shift work. In addition, shift workers of a petrochemical plant are placed on a four-crew three-shift system during service period unless there are special circumstances. Figure 1 shows the shift types of the petrochemical plant workers included in this study (Fig. 1).
Fig. 1
Duty schedule of subjects
40557_2017_166_Fig1_HTML.jpg
From 2,333 potential candidates, a total of 1,953 male adult workers were selected for the final analysis after excluding 369 people for lack of health exam results or health questionnaire data and 11 people for working irregular shifts other than a four-crew three-shift system. Of these subjects, 878 were day workers and 1,075 were shift workers (Fig. 2).
Fig. 2
Selection criteria of subjects
40557_2017_166_Fig2_HTML.jpg
General characteristics and physical examination
We investigated the subjects’ age, drinking habits, exercise habits, smoking status, and occupational history based on their health exam and questionnaire results. High-risk drinking was defined as a minimum of seven shots on average in one seating with a minimum of two drinking sessions per week [28]. Subjects were considered engaging in adequate exercise if they performed a minimum of 30 min of exercise that induced a mild shortness of breath for at least three times a week [29]. To classify smoking status, we referred to the Standard for Health Examination (Ministry of Health and Welfare Notification No. 2015-19). Subjects who answered that they have never smoked a cigarette or have smoked less than 100 cigarettes throughout their lives were classified into the non-smokers group and subjects who are currently not smoking but had smoked more than 100 cigarettes throughout their lives were classified into the past-smokers group. Subjects who are currently smokers were classified into the current smokers group [30]. Height, weight, systolic and diastolic pressure (SBP and DBP) were measured, and BMI was calculated by dividing weight (kg) by height squared (m2).
Selection and exclusion criteria
We first reviewed the subjects’ health questionnaires taken in the past 3 years (2012-2014) to screen out and classify subjects who were taking hypertension drugs into the hypertension group because drugs can mask the actual blood pressure and hinder us in identifying patients with hypertension. Among subjects who were not taking hypertension drugs, those with SBP ≥ 140 mmHg or DBP ≥ 90 mmHg were classified into the hypertension group [31].
Statistical analysis
We divided the subjects into the day work and shift work groups to compare their age, height, weight, BMI, SBP, and DBP via Student’s t tests, and subjects’ smoking status, drinking habits, exercise habits, and presence of hypertension via chi square tests. Furthermore, we classified the workers into less than or equal to 10 years, more than 10 years but less than or equal to 20 years, and more than 20 years groups in accordance with their working period and compared the intergroup differences in hypertension prevalence rate and trends via chi square tests and trend analysis. To measure the risk for hypertension, an odds ratio (OR) was calculated via logistic regression based on day work, and an adjusted odds ratio (aOR) was calculated via a multiple logistic regression to adjust for confounding variables (age, BMI, drinking habits, exercise habits, and smoking status). All data were analyzed using IBM SPSS Statistics for Windows, version 21.0 (IBM SPSS Inc., Chicago, IL), and p-values less than 0.05 were considered statistically significant.
A total of 1,953 subjects were included in the final analysis, of which 878 (45.0%) were day workers and 1,075 (55.0%) were shift workers. The mean age of the shift workers (42.5 years) was lower than that of the day workers (43.1 years), but the difference was insignificant.
There was no significant difference in the heights between the two groups, but shift workers’ weight and BMI (73.1 kg and 24.4 kg/m2, respectively) were significantly higher than those of day workers (72.1 kg and 24.2 kg/m2, respectively) (weight, p = 0.011; BMI, p = 0.023). In addition, shift workers had significantly higher SBP and DBP (122.4 mmHg and 73.7 mmHg, respectively) than those of day workers (121.0 mmHg and 72.2 mmHg, respectively; SBP, p = 0.012; DBP, p < 0.001).
A significantly higher proportion of day workers (36.1%) engaged in high-risk drinking compared to shift workers (31.2%, p = 0.021), while a significantly higher proportion of shift workers (44.7%) engaged in adequate exercise compared to day workers (31.5%, p < 0.001). There were no significant differences in smoking status between the two groups.
In terms of the prevalence rate of hypertension of shift and day workers, 12.2% of the shift workers and 9.6% of day workers had hypertension, but the difference was insignificant (Table 1).
Table 1
General characteristics of subjects at baseline
Non-shift workers (n = 878) Shift workers (n = 1,075) p value
Age (years) 43.1 ± 9.3 42.5 ± 7.7 0.099
Height (cm) 172.7 ± 5.3 173.0 ± 5.2 0.182
Weight (kg) 72.1 ± 8.6 73.1 ± 8.7 0.011
Body Mass Index (kg/m2) 24.2 ± 2.4 24.4 ± 2.5 0.023
Systolic Blood Pressure (mmHg) 121.0 ± 11.4 122.4 ± 12.0 0.012
Diastolic Blood Pressure (mmHg) 72.2 ± 8.5 73.7 ± 9.1 <0.001
High risk alcohol drinka
 No 561 (63.9) 740 (68.8) 0.021
 Yes 317 (36.1) 335 (31.2)
Adequate exerciseb
 No 601 (68.5) 595 (55.3) <0.001
 Yes 277 (31.5) 480 (44.7)
Smoking status
 Non-smoker 248 (28.2) 271 (25.2) 0.132
 Ex-smoker 317 (36.1) 433 (40.3)
 Current smoker 313 (35.6) 371 (34.5)
Hypertension
 No 794 (90.4) 944 (87.8) 0.066
 Yes 84 (9.6) 131 (12.2)
Unit: mean ± standard deviation, number (percentage)
p-value was calculated by Student t test for continuous variables
p-value was calculated by Chi-square test for categorical variables
aHigh risk alcohol drink: drink more than 2 times per week and more than 7 glasses per one time
bAdequate exercise: exercise harder than daily activity for more than 30 min and exercise more than 3 times per week
The hypertension rate of all subjects significantly increased with increasing years of working, where the rate was 4.6% for workers with less than or equal 10 years of working, 9.5% for workers with more than 10 but less than or equal to 20 years of working, and 16.4% for workers with more than 20 years of working (p < 0.001). The trend analysis showed significant differences in accordance with the working period (p < 0.001). For day workers, prevalence of hypertension in workers with less than or equal 10 years of working was 5.0%, which increased to 6.8% in workers with more than 10 but less than or equal to 20 years of working, 15.1% in workers with more than 20 years of working, and the differences were significant (p < 0.001). The trend analysis showed significant differences as well (p < 0.001). For shift workers, the prevalence of hypertension in workers with less than or equal 10 years of working was 4.1%, which increased to 10.8% in workers with more than 10 but less than or equal to 20 years of working and again increased to 17.3% in workers with more than 20 years of working, and the differences were significant (p < 0.001). The trend analysis showed significant differences as well (p < 0.001) (Table 2).
Table 2
The prevalence rate of hypertension according to working period
0 ~ 10 years 10.1 ~ 20 years more than
20 years
p value
for trend
Total No 599 (95.4) 408 (90.5) 731 (83.6) <0.001
(n = 1,953) Yes 29 (4.6) 43 (9.5) 143 (16.4)
Non-shift workers No 343 (95.0) 136 (93.2) 315 (84.9) <0.001
(n = 878) Yes 18 (5.0) 10 (6.8) 56 (15.1)
Shift workers No 256 (95.9) 272 (89.2) 416 (82.7) <0.001
(n = 1,075) Yes 11 (4.1) 33 (10.8) 87 (17.3)
Unit: number (percentage)
With day workers as the baseline, the OR of hypertension in all shift workers was 1.31 (95% CI 0.98–1.75). When shift workers were stratified in accordance with working period, the OR of hypertension in workers with less than or equal 10 years of working was 0.41 (95% CI 0.21–0.78), and that for workers with more than 20 years of working was 1.98 (95% CI 1.43–2.73). The aOR after adjusting for variables that may affect blood pressure (age, BMI, drinking habit, exercise habit, and smoking status) for all shift workers was 1.51 (95% CI 1.11–2.06) and that for workers with more than 20 years of working was 1.51 (95% CI 1.08–2.11) (Table 3).
Table 3
Odds ratios and adjusted odds ratio of hypertension according to working period
Variables Crude ORa (95% CI) Adjusted ORb (95% CI)
Work schedule
 Day work 1.00 1.00
 Shift work 1.31 (0.98-1.75) 1.51 (1.11-2.06)
Work duration (years)
 0 (day work) 1.00 1.00
  ≤ 10 0.41 (0.21-0.78) 1.68 (0.73-3.89)
 10.1 – 20 1.15 (0.75-1.76) 1.48 (0.92-2.39)
  > 20 1.98 (1.43-2.73) 1.51 (1.08-2.11)
aOdds ratio was calculated by logistic regression analysis
bAdjusted odds ratio was calculated by multiple logistic regression analysis after adjusting for age, BMI, alcohol drinking, exercise and smoking
This study compared the prevalence rate of hypertension between day workers and shift workers on a four-crew three-shift system at a petrochemical plant in South Korea. There are two main results. First, the prevalence of hypertension showed an increasing tendency with shift work duration. Second, workers engaged with shift work more than 20 years had a significant risk for hypertension.
Past studies have suggested that compared to day workers, shift workers are more vulnerable to metabolic disorders, such as diabetes and metabolic syndrome [22], and cardiovascular disorders, such as hypertension [32], due to a disruption of circadian rhythm caused by irregular working schedules. Such diverse health effects are induced by a common mechanism via circadian rhythm disruption. Melatonin, which is secreted by the pineal gland under the regulation of the suprachiasmatic nucleus in the hypothalamus, is known to be the first hormone that regulates the circadian rhythm [33]. The secretion and inhibition of melatonin is affected by the presence of light, and melatonin is known to regulate the diurnal gene of the gonads and peripheral tissues via the hypothalamus-pituitary gland-gonad axis and hypothalamus-pituitary gland-adrenal gland axis and also to play a role in blood pressure control by acting on vascular endothelial cells [34]. According to recent studies, melatonin released by the pineal gland binds to the melatonin 2 receptor of vascular endothelial cells to activate the L-arginine pathway, which increases the production of nitric oxide and stimulates the production of soluble guanylate cyclase within the vascular smooth muscle, increasing cyclic guanosine monophosphate and ultimately being involved in vascular relaxation [35]. Hence, normal melatonin secretion is intimately associated with blood pressure control. However, blood pressure control would be more difficult in shift workers than in day workers, because their irregular light exposure, which is associated with melatonin secretion, would disrupt the circadian rhythm. As predicted, when we compared all subjects, shift workers had significantly higher risks for hypertension than day workers in this study.
Furthermore, this study also verified that shift workers with more than 20 years of working had significantly higher risk for hypertension than day workers before and after adjusting confounding variables. An existing Korean study reported significantly increasing blood pressure with an increasing shift-work period [12], but the results denoted only short-term health effects as the average shift-work period in the previous study was only 5.2 years (5.4 months–10 years). Nevertheless, our findings suggest that who do the shift work longer, have more clear association with hypertension compared to relatively short term shift worker.
In conclusion, we observed that the risk for hypertension was higher in shift workers than in day workers and this finding is consistent with results reported in previous studies [32]. In particular, we observed that long-term shift work increases the risk for hypertension. Alternatively, shift workers with a short to medium-term working period did not show a significant increase in the risk of hypertension. Past studies on the association between shift work and cardiovascular diseases have suggested that risk for coronary artery disease increases in workers with more than 5 years of shift work [8]. Studies on hypertension suggested that blood pressure increases with the increasing period of shift work [12, 13, 16]. However, no study has identified the specific working period for shift workers after which the risk for hypertension clearly increases.
In the present study, risk for hypertension did not significantly increase in workers with less than 5 years of working and those with more than 5 but less than or equal to 21 years of working, but there is an important note to consider. A statistics report based on The Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-1) a hypertension prevalence rate in Korean men in 2010 of 32.4% [28], which is quite different from the 9.6% (day workers) and 12.2% (shift workers) found in the present study. This may be a result of the possible exclusion of individuals with hypertension or with a high risk for hypertension during hiring due to the healthy worker effect [36]. Therefore, it is difficult to estimate the period at which risk for hypertension clearly increases solely based on the findings of our study, but our results still indicate that shift workers should pay closer attention to blood pressure control by regularly checking their blood pressure, adjusting lifestyle habits, and striving to reduce the length of shift work.
This study has a few limitations. First, this study did control confounding variables, but as a cross-sectional study, it cannot draw clear conclusions with regard to causal relationships. Second, unhealthy people or people with diseases are not hired or they retire early, hence, the prevalence rate of disease may have been underestimated due to the healthy worker effect, which makes the existing workers seem healthier than in reality [36]. Third, among the participants, some exceptional shift worker changed their work schedule as day work, but we couldn’t count on the exact number nor excluded them in the analysis. Fourth, the types of shift work in the present study circulated in a reverse direction, where workers moved from night shift to afternoon shift and morning shift, and therefore we could not examine the health effects associated with various types of shift work. Fifth, we did not have information on possible confounders such as socioeconomic status, which may be related weakly to hypertension. Finally, the questionnaire used in this study was a form developed for special health examinations and the subjects were screened out depending on the criteria for a special health examination. Hence, we could not conduct a questionnaire survey on all subjects and could not use additional questionnaires.
Despite these limitations, this study has several strengths. First, since researches on shift work can include various types of shift work, it is difficult to conduct a study only on shift workers on an identical shift system. However, this study eliminated differences depending on shift work patterns by only including shift workers on a four-crew three-shift system. So we can find out the association between hypertension and this type of shift work. Second, the subjects of past studies on shift workers were usually subway workers, car factory workers, and nurses based on National Health and Nutrition Examination Survey. In these studies, it is difficult to distinguish the effects of shift work typically, since many occupational factors other than the shift work itself could affect blood pressure. Furthermore, these workers may not be continuously in shift work throughout their career at the workplace because of duty change, change jobs or department. In this study, the health effects of shift work are well reflected in the examined shift workers because they were operators at a petrochemical plant who engaged in shift work from the first day to the last day of work unless there were special circumstances. Moreover, their main duties comprised indoor tasks (operating, monitoring) and inspection that did not pose a serious health risk (these workers particularly have relatively little exposure to hypertensive hazards). Third, this study utilized the special health exam results of shift workers as defined by the Occupational Safety and Health Act, and unless the Act is revised in the future, it will allow standardized tests to be performed for shift workers in the future. Thus, a cohort could be established based on the findings of this study, and long-term follow-up would enable researchers to conduct a prospective study on the health effects of shift work.
This study analyzed the health effects of shift work and found that shift workers had heightened risks for hypertension compared to the day workers, and the increase of risk was especially marked in workers with longer working periods.
Hence, establishing national and social measures to protect the health of shift workers and provide a safer and improved working environment for shift workers will contribute to enhancing the quality of life of shift workers, ultimately curtailing social and financial costs.
The authors would like to thank occupational & environmental medical center, Ulsan University Hospital. The authors gratefully acknowledge their effort.
Funding
Not applicable.
Availability of data and materials
Please contact author for data requests.
Authors’ contributions
JHY was involved in writing the manuscript, data collection, statistical analysis and literature search. SHY, SJP took part in data collection and literature search. JHL, CSS, CIY are the senior author and reviewed manuscript. JHS supervised the entire process. All authors have read and approved the final manuscript.
Competing interests
The authors declare that they have no competing interests.
Consent for publication
Not applicable.
Ethics approval and consent to participate
This study was approved by the Institutional Review Board of Ulsan University Hospital. (IRB No. 2014-05-004).
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

aOR

Adjusted odds ratio

BMI

Body mass index

DBP

Diastolic blood pressure

OR

Odds ratio

SBP

Systolic blood pressure
  • 1. Zimberga IZ, Juniorb SAF, Crispimc CA, Tufika S, de Melloa MT. Metabolic impact of shift work. Work 2012;41(Suppl 1):4376–4383. 22317392.ArticlePubMed
  • 2. Costa G, Haus E. Stevens. Shift work and cancer-considerations on rationale, mechanisms, and epidemiology. Scand J Work Environ Health 2010;36(2):163–179. 10.5271/sjweh.2899. 20126969.ArticlePubMed
  • 3. Lee SH, Sung JM, Shin SO, Lee JE, Yoon MR, Lee HJ. The 15th (2012) Korean family and individual’s economic activity. 2014, Seoul: Korea labor institute.
  • 4. http://www.eurofound.europa.eu/publications/report/2012/working-conditions/fifth-european-working-conditions-survey-overview-report.
  • 5. Alterman T, Luckhaupt SE, Dahlhamer JM, Ward BW, Calvert GM. Prevalence rates of work organization characteristics among workers in the U.S.: Data from the 2010 National Health Interview Survey. Am J Ind Med 2013;56(6):647–659. 10.1002/ajim.22108. 22911666.ArticlePubMedPMC
  • 6. http://www.cdc.gov/niosh/docs/97-145.
  • 7. Costa G. Shift work and occupational medicine: an overview. Occup Med (Lond) 2003;53(2):83–88. 10.1093/occmed/kqg045. 12637591.ArticlePubMed
  • 8. Knutsson A. Methodological aspects of shift-work research. Chronobiol Int 2004;21(6):1037–1047. 10.1081/CBI-200038525. 15646248.ArticlePubMed
  • 9. Costa G. The problem: shiftwork. Chronobiol Int 1997;14(2):89–98. 10.3109/07420529709001147. 9095370.ArticlePubMed
  • 10. Akerstedt T. Shift work and disturbed sleep/wakefulness. Occup Med (Lond) 2003;53(2):89–94. 10.1093/occmed/kqg046. 12637592.ArticlePubMed
  • 11. Knutsson A. Health disorders of shift workers. Occup Med (Lond) 2003;53(2):103–108. 10.1093/occmed/kqg048. 12637594.ArticlePubMed
  • 12. Ha MN, Kim JY, Park JS, Chung HK. Influence of shiftwork Duration on blood pressure and heart rate variability in short rotating 8-h shiftworkers. Korean J Occup Environ Med 2001;13(2):180–189.ArticlePDF
  • 13. Ha MN, Roh SC, Park JS. Shiftwork duration and metabolic risk factors of cardiovascular disease. Korean J Occup Environ Med 2003;15(2):132–139.ArticlePDF
  • 14. Park S, Nam J, Lee JK, Oh SS, Kang HT, Koh SB. Association between night work and cardiovascular diseases: analysis of the 3rd Korean working conditions survey. Ann Occup Environ Med 2015;27:15. 10.1186/s40557-015-0064-1. 26137312.ArticlePubMedPMCPDF
  • 15. Vyas MV, Garg AX, Iansavichus AV, Costella J, Donner A, Laugsand LE. Shift work and vascular events: systematic review and meta-analysis. BMJ 2012;345:10.1136/bmj.e4800. 22835925.Article
  • 16. Suwazono Y, Nogawa K. Effect of shift work on blood pressure. Nihon Rinsho 2014;72(8):1497–1502. 25167759.PubMed
  • 17. Lu WZ, Gwee KA, Ho KY. Functional bowel disorders in rotating shift nurses may be related to sleep disturbances. Eur J Gastroenterol Hepatol 2006;18(6):623–627. 10.1097/00042737-200606000-00008. 16702851.ArticlePubMed
  • 18. Zober A, Schilling D, Ott M, Schauwecker P, Riemann J, Messerer P. Helicobacter pylori infection: prevalence and clinical relevance in a large company. J Occup Environ Med 1998;40(7):586–594. 10.1097/00043764-199807000-00002. 9675716.ArticlePubMed
  • 19. Li YM, Du J, Zhang H, Yu CH. Epidemiological investigation in outpatients with symptomatic gastroesophageal reflux from the Department of Medicine in Zhejiang Province, east China. J Gastroenterol Hepatol 2008;23(2):283–289. 10.1111/j.1440-1746.2007.05045.x. 17645475.Article
  • 20. Canuto R, Garcez AS, Olinto MT. Metabolic syndrome and shift work: a systematic review. Sleep Med Rev 2013;17(6):425–431. 10.1016/j.smrv.2012.10.004. 23531362.ArticlePubMed
  • 21. Lowden A, Moreno C, Holmback U, Lennernas M, Tucker P. Eating and shift work - effects on habits, metabolism, and performance. Scand J Work Environ Health 2010;36(2):150–162. 10.5271/sjweh.2898. 20143038.ArticlePubMed
  • 22. Gan Y, Yang C, Tong X, Sun H, Cong Y, Yin X. Shift work and diabetes mellitus: a metaanalysis of observational studies. Occup Environ Med 2015;72(1):72–78. 10.1136/oemed-2014-102150. 25030030.ArticlePubMed
  • 23. Straif K, Baan R, Grosse Y, Secretan B, El Ghissassi F, Bouvard V. Carcinogenicity of shiftwork, painting, and fire-fighting. Lancet Oncol 2007;8(12):1065–1066. 10.1016/S1470-2045(07)70373-X. 19271347.ArticlePubMed
  • 24.
  • 25. Elliott JL, Lal S. Blood pressure, sleep quality and fatigue in shift working police officers: effects of a twelve hour roster system on cardiovascular and sleep health. Int J Environ Res Public Health 2016;13(2):172. 10.3390/ijerph13020172. 26840324.ArticlePubMedPMC
  • 26. Sfreddo C, Fuchs SC, Merlo AR, Fuchs FD. Shift work is not associated with high blood pressure or prevalence of hypertension. PLoS ONE 2010;5(12):e15250. 10.1371/journal.pone.0015250. 21179460.ArticlePubMedPMC
  • 27. Conway PM, Campanini P, Sartori S, Dotti R, Costa G. Main and interactive effects of shiftwork, age and work stress on health in an Italian sample of healthcare workers. Appl Ergon 2008;39(5):630–639. 10.1016/j.apergo.2008.01.007. 18313640.ArticlePubMed
  • 28.
  • 29. Korea Occupational Safety and Health Agency (KOSHA). Health examination guideline for Korean worker. 2015, Incheon: KOSHA.
  • 30. http://law.go.kr/admRulLsInfoP.do?chrClsCd=010202&admRulSeq=2100000012342#AJAX.
  • 31. James PA, Oparil S, Carter BL, Cushman WC, Dennison-Himmelfarb C, Handler J. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the eighth joint national committee (JNC 8). JAMA 2014;311(5):507–520. 10.1001/jama.2013.284427. 24352797.ArticlePubMed
  • 32. Mosendane T, Mosendane T, Raal FJ. Shift work and its effects on the cardiovascular system. Cardiovasc J Afr 2008;19(4):210–215. 18776968.PubMedPMC
  • 33. Faraut B, Bayon V, Leger D. Neuroendocrine, immune and oxidative stress in shift workers. Sleep Med Rev 2013;17(6):433–444. 10.1016/j.smrv.2012.12.006. 23618533.ArticlePubMed
  • 34. Fu L, Lee CC. The circadian clock: pacemaker and tumour suppressor. Nat Rev Cancer 2003;3(5):350–361. 10.1038/nrc1072. 12724733.ArticlePubMedPDF
  • 35. Singh M, Jadhav HR. Melatonin: functions and ligands. Drug Discov Today 2014;19(9):1410–1418. 10.1016/j.drudis.2014.04.014. 24792719.ArticlePubMed
  • 36. Li CY, Sung FC. A review of the healthy worker effect in occupational epidemiology. Occup Med (Lond) 1999;49(4):225–229. 10.1093/occmed/49.4.225. 10474913.ArticlePubMed

Figure & Data

REFERENCES

    Citations

    Citations to this article as recorded by  
    • The Impact of Night Work on the Sleep and Health of Medical Staff—A Review of the Latest Scientific Reports
      Katarzyna Czyż-Szypenbejl, Wioletta Mędrzycka-Dąbrowska
      Journal of Clinical Medicine.2024; 13(15): 4505.     CrossRef
    • The interrelationships between sleep regularity, obstructive sleep apnea, and hypertension in a middle-aged community population
      Kelly Sansom, Amy Reynolds, Daniel Windred, Andrew Phillips, Satvinder S Dhaliwal, Jennifer Walsh, Kathleen Maddison, Bhajan Singh, Peter Eastwood, Nigel McArdle
      SLEEP.2024;[Epub]     CrossRef
    • Association of shift work with hypercholesterolemia among nurses: A cross‐sectional and descriptive-analytical study
      Farhad Solymanzadeh, Dariush Rokhafroz, Marziyeh Asadizaker, Maryam Dastoorpoor
      Journal of Human Behavior in the Social Environment.2024; 34(5): 673.     CrossRef
    • Pressure Building Against the Clock: The Impact of Circadian Misalignment on Blood Pressure
      Brooke M. Shafer, Sophia A. Kogan, Andrew W. McHill
      Current Hypertension Reports.2024; 26(1): 31.     CrossRef
    • Factors Associated With Elevated Blood Pressure in Nursing Workers
      Vivian de Moraes Coelho, Camila Oliveira Sinhoroto, Patrícia Magnaboso, Maria Beatriz Guimarães Raponi, Maria Angélica Melo e Oliveira, Omar Pereira de Almeida, Valéria Nasser Figueiredo
      International Journal of Cardiovascular Sciences.2023;[Epub]     CrossRef
    • Association Between Night Shift and Hypertension
      Jin-liang Zhu, Meng-yu Liu, Qi-rong Qin, Jia-liu He, Ming-jun Hu, Zhen-yu Zhu, Jian-jun Liu, Fen Huang
      Journal of Occupational & Environmental Medicine.2023; 65(2): e36.     CrossRef
    • Knowledge of Primary Care Patients Living in the Urban Areas about Risk Factors of Arterial Hypertension
      Tomasz Sobierajski, Stanisław Surma, Monika Romańczyk, Maciej Banach, Suzanne Oparil
      International Journal of Environmental Research and Public Health.2023; 20(2): 1250.     CrossRef
    • Arterial hypertension in rotating shift workers: The role of hypertriglyceridemic waist and hypertriglyceridemic waist-to-height ratio phenotypes
      Gabriela da Silva Machado, Luiz Antônio Alves de Menezes-Júnior, Raimundo Marques do Nascimento Neto, Sílvia Nascimento de Freitas, Fernando Luiz Pereira de Oliveira, Fausto Aloísio Pedrosa Pimenta, George Luiz Lins Machado-Coelho, Silvana Mara Luz Turbin
      Clinical Nutrition ESPEN.2023; 58: 235.     CrossRef
    • Circadian Rhythms Disrupted by Light at Night and Mistimed Food Intake Alter Hormonal Rhythms and Metabolism
      O. Hecmarie Meléndez-Fernández, Jennifer A. Liu, Randy J. Nelson
      International Journal of Molecular Sciences.2023; 24(4): 3392.     CrossRef
    • Shift work and cardiovascular strain on working and non-working days
      L Stieler, B Hunger, R Seibt
      Occupational Medicine.2022; 72(7): 486.     CrossRef
    • Cardiovascular and Self-Reported Recovery in Two-Shift Systems
      Lisa Stieler, Bettina Hunger, Reingard Seibt
      Journal of Psychophysiology.2022; 36(2): 75.     CrossRef
    • Influence of shift work on cardiovascular disease risk in Southern African long-distance truck drivers: a cross-sectional study
      Melvin Draaijer, Karine Scheuermaier, Samanta Tresha Lalla-Edward, Alex Emilio Fischer, Diederick E Grobbee, Francois Venter, Alinda Vos
      BMJ Open.2022; 12(4): e050645.     CrossRef
    • The effect of blood cadmium levels on hypertension in male firefighters in a metropolitan city
      Ye-eun Jeon, Min Ji Kim, Insung Chung, Jea Chul Ha
      Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
    • Effect of Sleep Disturbances on Blood Pressure
      Nour Makarem, Carmela Alcántara, Natasha Williams, Natalie A. Bello, Marwah Abdalla
      Hypertension.2021; 77(4): 1036.     CrossRef
    • Molecular link between circadian clocks and cardiac function: a network of core clock, slave clock, and effectors
      Weiyi Xu, Mukesh K Jain, Lilei Zhang
      Current Opinion in Pharmacology.2021; 57: 28.     CrossRef
    • Is the bedtime ingestion of hypertensive medications effective and safe?
      Nicole P. Bowles, Steven A. Shea
      Sleep Medicine Reviews.2021; 59: 101511.     CrossRef
    • The Impact of Shift Work on Occupational Health Indicators among Professionally Active Adults: A Comparative Study
      Henrique Pereira, Gergely Fehér, Antal Tibold, Samuel Monteiro, Vítor Costa, Graça Esgalhado
      International Journal of Environmental Research and Public Health.2021; 18(21): 11290.     CrossRef
    • Shift Work and Cardiovascular Disease
      Samime ŞARLI GÜNDÜZ, Selma Arzu VARDAR
      Sakarya Medical Journal.2021;[Epub]     CrossRef
    • Long-Term 32-Hours Continuous Shifts Increases Progesterone, IL-1β, TNF-α, IL-6, Eosinophil Count and Attention Performance in Female Pediatric Resident
      Pınar ÇAKAN, Sedat YILDIZ
      Medical Records.2021; 3(3): 245.     CrossRef
    • The relationship between rotating shift work and blood pressure among nurses working in hospitals of Abadan, Iran
      Farhad Solymanzadeh, Dariush Rokhafroz, Marziyeh Asadizaker, Maryam Dastoorpoor
      Chronobiology International.2021; 38(11): 1569.     CrossRef
    • Is Shift Work Sleep Disorder a Risk Factor for Metabolic Syndrome and Its Components? A Systematic Review of Cross-Sectional Studies
      Arpita Shah, Arifa Turkistani, Kanita Luenam, Sayma Yaqub, Patricia Ananias, Arunima Mariya Jose, Joao Pedro Melo, Lubna Mohammed
      Metabolic Syndrome and Related Disorders.2021;[Epub]     CrossRef
    • BMI differences between different genders working fixed day shifts and rotating shifts: a literature review and meta-analysis
      Wen-Pei Chang, Hsiu-Ju Jen
      Chronobiology International.2020; 37(12): 1754.     CrossRef
    • Molecular Mechanisms Underlying the Circadian Rhythm of Blood Pressure in Normotensive Subjects
      Yves Lecarpentier, Olivier Schussler, Jean-Louis Hébert, Alexandre Vallée
      Current Hypertension Reports.2020;[Epub]     CrossRef
    • On-shift naps are associated with systolic and diastolic blood pressure level among night working nursing professionals
      Lucia Rotenberg, Aline Silva-Costa, Rosane Härter Griep
      Chronobiology International.2020; 37(9-10): 1365.     CrossRef
    • Whole transcriptome analysis of adrenal glands from prenatal glucocorticoid programmed hypertensive rodents
      Sujeenthar Tharmalingam, Sandhya Khurana, Alyssa Murray, Jeremy Lamothe, T. C. Tai
      Scientific Reports.2020;[Epub]     CrossRef
    • Time for Novel Strategies to Mitigate Cardiometabolic Risk in Shift Workers
      Maaike Schilperoort, Patrick C.N. Rensen, Sander Kooijman
      Trends in Endocrinology & Metabolism.2020; 31(12): 952.     CrossRef
    • Diese Berufe triggern eine Hypertonie
      Gerd Bönner
      MMW - Fortschritte der Medizin.2019; 161(17): 55.     CrossRef
    • Apneic Sleep, Insufficient Sleep, and Hypertension
      Meghna P. Mansukhani, Naima Covassin, Virend K. Somers
      Hypertension.2019; 73(4): 744.     CrossRef
    • Upper limb vascular mapping with Doppler ultrasound: Technique precision evaluated in healthy volunteers
      Ana S Germano, António P Gomes, Rita Martins, Marta Sousa, Vitor Nunes
      Ultrasound.2019; 27(4): 225.     CrossRef
    • The Effect of Special Medical Examination for Night Shift Workers and Follow-Up Management Against Hypertension
      Won Seon Choi, Ji-Won Lee, Jae Yong Lee, Kyeong Yeon Kim, Jun-Pyo Myong, Won-Chul Lee
      International Journal of Environmental Research and Public Health.2019; 16(5): 719.     CrossRef
    • The importance of sleep for governmental sectors, general population and industry – Asia–Pacific Economic Cooperation (APEC) Sleep Technology Agenda
      Rayleigh Ping-Ying Chiang, Chien-Fu Lin, Yu-Chuan (Jack) Li, Min-Huei Hsu
      Sleep Medicine Reviews.2019; 43: 135.     CrossRef
    • Cardiovascular recovery after workload in German shift workers in the hotel and catering industry: results of 24-hour-ambulatory monitoring of heart rate and blood pressure
      Lisa Stieler, Bettina Hunger, Matthias Rudolf, Steffi Kreuzfeld, Regina Stoll, Reingard Seibt
      International Archives of Occupational and Environmental Health.2019; 92(1): 81.     CrossRef
    • Circadian Misalignment and Cardiovascular Risk
      Tracy Ashby, Mariam Louis
      Cardiovascular Innovations and Applications.2019;[Epub]     CrossRef
    • The “ECG modifications induced by the disturbance of the circadian rhythm in night-shift workers (ECGNoct)” study protocol
      Marina Ruxandra Oțelea, Anca Streinu-Cercel, Daniela Manolache, Andreea Mutu, Lavinia Călugăreanu, Dana Mateș, Oana Săndulescu
      Romanian Journal of Occupational Medicine.2019; 70(1): 12.     CrossRef
    • Association between serum ferritin and hypertension according to the working type in Korean men: the fifth Korean National Health and nutrition examination survey 2010–2012
      Dong-Hoon Lee, Seong-Kyu Kang, Won-Jun Choi, Kyeong Min Kwak, Dukyun Kang, Sang Ha Lee, Jun-Hyung Lee
      Annals of Occupational and Environmental Medicine.2018;[Epub]     CrossRef
    • Working in Shifts and the Metabolic Syndrome: Epidemiological Evidence and Physiopathological Mechanisms
      Oţelea Marina Ruxandra, Raşcu Agripina, Ion Ileana, Arghir Ioan Anton, Badiu Adela, Ciobotaru Camelia, Rascu Alexandra-Maria, Arghir Oana Cristina
      ARS Medica Tomitana.2018; 24(3): 144.     CrossRef
    • Breast cancer screening among shift workers: a nationwide population-based survey in Korea
      Heesook Son, Youngmi Kang
      International Journal of Occupational and Environmental Health.2017; 23(2): 94.     CrossRef
    • Prevalence of Hypertension in Professional Drivers (from the RACER-ABPM Study)
      Anna E. Platek, Filip M. Szymanski, Krzysztof J. Filipiak, Marcin Kotkowski, Anna Rys, Karolina Semczuk-Kaczmarek, Karolina Adamkiewicz
      The American Journal of Cardiology.2017; 120(10): 1792.     CrossRef

    • PubReader PubReader
    • ePub LinkePub Link
    • Cite
      CITE
      export Copy Download
      Close
      Download Citation
      Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

      Format:
      • RIS — For EndNote, ProCite, RefWorks, and most other reference management software
      • BibTeX — For JabRef, BibDesk, and other BibTeX-specific software
      Include:
      • Citation for the content below
      Effect of shift work on hypertension: cross sectional study
      Ann Occup Environ Med. 2017;29:11  Published online April 11, 2017
      Close
    • XML DownloadXML Download
    Figure
    • 0
    • 1
    Related articles
    Effect of shift work on hypertension: cross sectional study
    Image Image
    Fig. 1 Duty schedule of subjects
    Fig. 2 Selection criteria of subjects
    Effect of shift work on hypertension: cross sectional study
    Non-shift workers (n = 878)Shift workers (n = 1,075) p value
    Age (years)43.1 ± 9.342.5 ± 7.70.099
    Height (cm)172.7 ± 5.3173.0 ± 5.20.182
    Weight (kg)72.1 ± 8.673.1 ± 8.70.011
    Body Mass Index (kg/m2)24.2 ± 2.424.4 ± 2.50.023
    Systolic Blood Pressure (mmHg)121.0 ± 11.4122.4 ± 12.00.012
    Diastolic Blood Pressure (mmHg)72.2 ± 8.573.7 ± 9.1<0.001
    High risk alcohol drinka
     No561 (63.9)740 (68.8)0.021
     Yes317 (36.1)335 (31.2)
    Adequate exerciseb
     No601 (68.5)595 (55.3)<0.001
     Yes277 (31.5)480 (44.7)
    Smoking status
     Non-smoker248 (28.2)271 (25.2)0.132
     Ex-smoker317 (36.1)433 (40.3)
     Current smoker313 (35.6)371 (34.5)
    Hypertension
     No794 (90.4)944 (87.8)0.066
     Yes84 (9.6)131 (12.2)
    0 ~ 10 years10.1 ~ 20 yearsmore than
    20 years
    p value
    for trend
    TotalNo599 (95.4)408 (90.5)731 (83.6)<0.001
    (n = 1,953)Yes29 (4.6)43 (9.5)143 (16.4)
    Non-shift workersNo343 (95.0)136 (93.2)315 (84.9)<0.001
    (n = 878)Yes18 (5.0)10 (6.8)56 (15.1)
    Shift workersNo256 (95.9)272 (89.2)416 (82.7)<0.001
    (n = 1,075)Yes11 (4.1)33 (10.8)87 (17.3)
    VariablesCrude ORa (95% CI)Adjusted ORb (95% CI)
    Work schedule
     Day work1.001.00
     Shift work1.31 (0.98-1.75)1.51 (1.11-2.06)
    Work duration (years)
     0 (day work)1.001.00
      ≤ 100.41 (0.21-0.78)1.68 (0.73-3.89)
     10.1 – 201.15 (0.75-1.76)1.48 (0.92-2.39)
      > 201.98 (1.43-2.73)1.51 (1.08-2.11)
    Table 1 General characteristics of subjects at baseline

    Unit: mean ± standard deviation, number (percentage)

    p-value was calculated by Student t test for continuous variables

    p-value was calculated by Chi-square test for categorical variables

    aHigh risk alcohol drink: drink more than 2 times per week and more than 7 glasses per one time

    bAdequate exercise: exercise harder than daily activity for more than 30 min and exercise more than 3 times per week

    Table 2 The prevalence rate of hypertension according to working period

    Unit: number (percentage)

    Table 3 Odds ratios and adjusted odds ratio of hypertension according to working period

    aOdds ratio was calculated by logistic regression analysis

    bAdjusted odds ratio was calculated by multiple logistic regression analysis after adjusting for age, BMI, alcohol drinking, exercise and smoking


    Ann Occup Environ Med : Annals of Occupational and Environmental Medicine
    Close layer
    TOP