Next Article in Journal
Ecosystem Health Assessment at County-Scale Using the Pressure-State-Response Framework on the Loess Plateau, China
Previous Article in Journal
Motivations and Limitations Associated with Vaping among People with Mental Illness: A Qualitative Analysis of Reddit Discussions
Previous Article in Special Issue
Knowledge, Attitude, and Behaviors Related to Eating Out among University Students in China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Prospective Cohort Study to Elucidate the Correlation between Occupational Stress and Hypertension Risk in Oil Workers from Kelamayi City in the Xinjiang Uygur Autonomous Region of China

1
Department of Public Health, Xinjiang Medical University, Urumqi 830011, China
2
The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Environ. Res. Public Health 2017, 14(1), 1; https://doi.org/10.3390/ijerph14010001
Submission received: 8 September 2016 / Revised: 14 December 2016 / Accepted: 15 December 2016 / Published: 22 December 2016
(This article belongs to the Special Issue Health Behaviors and Public Health)

Abstract

:
The purpose of this study was to assess the major risk factors for hypertension in oil workers, and investigate the effect of occupational stress on the incidence of hypertension after controlling for other risk factors. A prospective cohort approach was used following enrollment of 1354 oil workers. The occupational stress experienced by oil workers was higher than for the general population in China. By the end of the cohort study, 231 new cases of hypertension among the oil workers had been diagnosed. The cumulative incidence of hypertension was 17.06%. There were 44, 112, and 75 workers who developed hypertension in the low, intermediate, and high occupational stress groups, which represented a 12.0%, 15.6%, and 20.3% cumulative incidence, respectively (chi-square value = 9.812, p < 0.01). Multivariate Cox proportional hazard model analysis showed that type of work, cigarette smoking, excess body weight, and obesity were risk factors for hypertension (p < 0.05). After risk factors such as type of work, cigarette smoking, alcohol consumption, and body mass index (BMI) were controlled, the hypertension risk (hazard ratio, HR) in the high occupational stress group was 1.549 (1.072–2.236) compared to the low exposure group, and 2.337 (1.191–4.585) in female subjects. Our study indicated that an increase in occupational stress was associated with an increased risk of hypertension after other factors were adjusted.

1. Introduction

Hypertension is a major global health issue due to its magnitude and associated risks, difficulty of control, high medical and social costs, and the fact that it causes severe cardiovascular and renal complications [1]. In 2010, hypertension caused 9.4 million deaths and led to the loss of 7% disability-adjusted life years [2]. It has been proposed that non-communicable cardiovascular diseases (CVDs) will be the global leading cause of death and disability by 2020 [3], and the number of hypertensive adults will reach 1.5 billion (approximately 30% of the world population) by 2025 [4]. In addition to known risk factors for hypertension, such as prior family history, obesity, tobacco use, alcohol consumption, and a high intake of sodium [5]; multiple factors, including age, gender, blood glucose, triglycerides, total cholesterol, high-density and low-density lipoprotein levels, are also closely correlated with the incidence of hypertension [6,7]. While genetic and behavioral factors leading to hypertension have been intensely studied, the etiology of hypertension is still largely unknown.
In recent years, agricultural and industrial advances have impacted lifestyle and social interaction, leading to greater psychological pressure. Epidemiologic studies have shown the workplace to be a high-pressure environment. The imbalance between work demand and work control in modern society is considered to be an important risk factor for hypertension in men [8] and women [9]. A recent study has demonstrated that long-term and excessive occupational stress promotes a number of unhealthy behaviors, such as cigarette smoking, alcohol consumption, high-fat diets, drug abuse, and a sedentary lifestyle [10], which are all risk factors for hypertension.
Occupational stress combined with other risk factors is associated with a higher incidence of hypertension compared to occupational stress alone [11]. Furthermore, there is an interaction between occupational stress and other risk factors, such as gender, age, alcohol consumption, and obesity, leading to hypertension [11]. A cohort study conducted by Wiernik et al. [12,13], which included 122,816 adults, found that for women with a relatively low occupational status, occupational stress is a potential risk factor for hypertension. Additionally, the effects of stress are being studied in additional areas, such as marriage and low socioeconomic status. Associations between these other risk types and blood pressure (BP) outcomes have been reported, but the results vary, and ongoing exposure to stress may be more plausibly linked to sustained BP elevation and incidence of hypertension [14]. However, occupational stress has also been identified as an independent risk factor for hypertension [15,16].
Previous studies often applied a cross-sectional approach and short-term follow-up to explore the relationship between occupational stress and blood pressure. In China, relevant studies have only recently been completed and cross-sectional studies have been limited. In addition, the cultural background, labor organization, and sources of stress in China differ from other countries. Therefore, the role of occupational stress in hypertension amongst the Chinese working population warrants more specific studies. The objective of this study was to investigate the correlation between occupational stress and hypertension in oil workers in Kelamayi City through a prospective cohort study.

2. Materials and Methods

2.1. Population and Study Design

This prospective cohort study enrolled oil workers from seven oil companies in Kelamayi City. The data were collected at two time points (baseline (2013–2014) with a follow-up period of two years (2014–2016). Baseline data included blood pressure (taken at the Central Hospital of Kelamayi City, China), and a questionnaire assessing occupational stress state and hypertension risk factors was completed by the subjects. The inclusion criteria were as follows: (1) oil workers from one of the seven companies who had physical examinations in the hospital between 2013 and 2014 and completed the occupational stress questionnaire; and (2) voluntary consent to participate in the study after being informed of the objective and significance of the study (informed consent). The exclusion criteria were as follows: (1) previous diagnosis of hypertension; (2) family history of hypertension; (3) rejection of follow-up; and (4) incomplete relevant information and data. The diagnostic criteria of new hypertension cases were based on the Chinese Hypertension Prevention and Treatment Guides: Version 2004 [17]. New hypertension cases were considered to be when subjects with no history of hypertension and physical examination in 2013–2014 showing a systolic blood pressure (SBP) < 140 mmHg and a diastolic blood pressure (DBP) < 90 mmHg, had a physical examination in 2015 showing a SBP ≥ 140 mmHg or DBP ≥ 90 mmHg, or alternatively were diagnosed with hypertension in a qualified hospital and administered anti-hypertensive drugs. Diagnosis of hypertension was considered to be the ending event, and the investigators allowed the subjects to complete the questionnaire (the same as at baseline) according to their situation in the past year. The subjects who did not have an ending event during their follow-up were asked to complete the questionnaire at the end of the cohort study. The baseline number of subjects was 1451, and 97 subjects (7%) were censored at the end of the follow-up period. The reasons for censoring were primarily due to occupational changes or retirement. A total of 1354 subjects, including 715 males (52.8%) and 639 females (47.2%), completed the whole study. Two hundred and thirty-one subjects (17.1%) were newly-diagnosed with hypertension.

2.2. Occupational Stress Evaluation

The OSI-R Scale (Occupational Stress Inventory, revised edition, OSI-R) was used to evaluate the occupational stress of study participants. The scale was originally developed by Osipow in 1981 [18] and revised seven times thereafter. Li et al. [19] introduced the scale to China in 1998, and after revision and verification, the scale has been shown to have high reliability and validity. The OSI-R scale has been widely used in studies of occupational stress in China and includes the following three sections: Occupational Role Questionnaire (ORQ); Personal Strain Questionnaire (PSQ); and Personal Resources Questionnaire (PRQ). The scale sections are used to measure occupational stress, psychological strain, and coping resources of the subjects, respectively, in an effort to comprehensively reflect the occupational stress of the subjects.
OSI-R is a multiple-dimension scale. Each item has five Likert-type scales (never, seldom, sometimes, frequently, and always). The raw scores range from 1–5. The higher the score of the ORQ and PSQ, the higher the occupational stress and psychological strain; the higher the score of the PRQ, the higher the capacity of the subject to cope with stress. For ORQ and PSQ scales, higher scores are associated with a high level of occupational stress. Grouping methods used to divide participants into low, intermediate, and high levels were set according to the corresponding references [20]. Specifically, the scores were as follows: occupational stress (low, <258; intermediate, 258–307; and high, >307); occupational role (low, <161; intermediate, 161–194; and high, >194); personal strain (low, <89; intermediate, 89–116; and high, >116); and personal resources (low, <105; intermediate, 105–134; and high, >134). In the present study, Cronbach’s alpha coefficients of all of the scales and dimensions were >0.70, which indicated that the OSI-R had good reliability.

2.3. Blood Pressure Measurement

Blood pressure was measured by a physician using an electronic blood pressure monitor. Before measurement, the subjects were asked to remain seated for at least 15 min. The right upper arm SBP and DBP were measured twice for each subject. There was a 2-min interval between the two measurements, and the final blood pressure was the average value of the two measurements. If the blood pressure was ≥140/90 mmHg, the subject was asked to rest for 15 min, BP was retaken twice, and the average of the two measurements was the final result. The above measurement method was performed according to the China Chronic Disease Surveillance Project [21], published by the National Work Group of the project.

2.4. Covariates

Cigarette smoking, alcohol consumption, body mass index (BMI), salt intake, and a sedentary lifestyle are considered to be risk factors for hypertension. Smoking status was categorized as follows: non-smoker; previous smoker (already quit, and quit ≥1 year); and current smoker (at least 1 cigarette per day for >1 year). Alcohol consumption status was categorized as follows: none; occasional; and regular consumption (at least twice per week for >1 year). Physical exercise status was categorized as follows: none; occasional; and regular (≥3 times per week for ≥30 min each session). BMI was categorized as follows, according to the criteria of the Chinese Adult Overweight and Obesity Prevention and Control Guideline [22]: BMI < 24 kg/m2 was considered as “normal weight”, BMI ≥ 24 kg/m2 as “overweight” and BMI ≥ 28 kg/m2 as “obesity”. In addition, some key demographic characteristics, such as age, gender, ethnicity, educational level, number of years worked, marital status, income, and work shift, were also included. In the current study, these factors were considered to be confounding factors and controlled in the analysis.

2.5. Statistical Analyses

Numeric data with a normal distribution were presented as the mean ± standard deviation. Comparison of the means of two groups was performed using an independent sample t-test. ANOVA was used for comparison of the means of multiple groups. If the overall difference was significant, then a least significant difference t-test was used for pairwise comparisons. Count data are presented as a percentage (n %). A Chi-square test was used for inter-group comparisons and the effect of occupational stress on the risk of hypertension was analyzed using a multivariate Cox proportional hazards regression model. The significance level (α) was set at 0.05. The data were analyzed using SPSS 17.0 (IBM, Armonk, NY, USA).

3. Results

3.1. General Demographic Characteristics of the Subjects

The general demographic characteristics of the subjects are shown in Table 1.

3.2. Score of Occupational Stress

3.2.1. Score of Occupational Stress in Oil Workers and Chinese Norm

The results demonstrated that the occupational role, personal strain and personal resource scores of oil workers were significantly higher than the Chinese norm (p < 0.05; Table 2).

3.2.2. Score of Occupational Stress in Different Type of Work Groups

The results showed that the scores of occupational role, personal strain and personal resources were not significantly different between the types of work groups (p > 0.05; Table 3).

3.3. Incidence of Hypertension

3.3.1. Incidence of Hypertension in the Subjects with Different Characteristics

At the end of the cohort study (April 2016), there were 231 (17.06%) new cases of hypertension in 1354 follow-up subjects. The number of isolated systolic hypertension, isolated diastolic hypertension, and systolic-diastolic hypertension cases was 21, 113 and 97, respectively (Table 4). The age, number of years worked, and BMI of the subjects with hypertension were all significantly higher than for the subjects without hypertension (p < 0.01). Moreover, there were significant differences in gender, cigarette smoking history, alcohol consumption history, and BMI between the hypertensive and non-hypertensive groups (p < 0.05). With respect to type of work, no significant difference was observed between the two groups with respect to work shift or physical exercise (p > 0.05; Table 5). The results suggested that gender, number of years worked, cigarette smoking, alcohol consumption, and BMI might be associated with hypertension in oil workers.

3.3.2. Scores of Occupational Stress of Subjects with and without Hypertension

The results showed that the occupational role and personal strain scores of the subjects with hypertension were significantly higher than for subjects without hypertension (p < 0.05). With respect to personal resources, there was no significant difference between the two groups (p = 0.504; Table 6).

3.3.3. Incidence of Hypertension in Different Occupational Stress Groups

The results demonstrated that there were 44, 112, and 75 patients with hypertension in the low, intermediate, and high-occupational stress groups, representing a 12.0%, 15.6%, and 20.3% cumulative incidence, respectively. The incidence of hypertension was positively correlated with the level of occupational stress and the straight trend had statistical significance (Chi-square value = 9.812, p < 0.01; Figure 1).

3.4. Cox Proportional Hazards Model of Hypertension Risk

A multivariate Cox proportional hazards model showed that type of work, cigarette smoking, excess body weight, and obesity were risk factors for hypertension, but occasional drinking was a protective factor for hypertension (p < 0.05; Table 7).

3.5. Correlation between Occupational Stress and Risk for Hypertension

In the current study we constructed two models to determine the relationship between occupational stress and risk for hypertension. Based on the OSI-R scores, the variable representing occupational stress was entered into the models for analysis. Model 1 is a univariate model in which the different levels of occupational stress are independent variables; the group with the lowest level served as the reference group and the incidence of hypertension is a dependent variable. The subjects with a high occupational stress had a higher risk for hypertension; the HR was 1.675 (1.161–2.418; p < 0.05). Model 2 is a multivariate model that was constructed by adjusting the factors that may be related to the risk for hypertension (confounding factors). The HR in the high occupational stress group was 1.549 (1.072–2.236; p < 0.05). The risk for hypertension in the subjects with high occupational stress was 1.549-fold greater than subjects with low occupational stress (Table 8). According to gender stratification, the female subjects with high occupational stress had a higher risk for hypertension; the HR was 2.208 (1.133–4.303) in model 1 (p < 0.05), the HR in the high occupational stress group was 2.337 (1.191–4.585) in model 2 (p < 0.05; Table 9). However, there was no significant difference in risk for hypertension in different occupational stress groups in male subjects (Table 10).

4. Discussion

Oil workers in Kelamayi City of Xinjiang, China, have higher occupational stress and a high intensity of work that is associated with abnormal blood lipids, blood glucose, and immune function [23,24]. In the current study, we identified that the occupational stress of oil workers was higher than the Chinese general population [25], with a total of 231 subjects developing hypertension during the study period, thus representing a 17.06% cumulative incidence. Wang et al. reported that the prevalence of hypertension was 29.6% in the Chinese general population in 2009 [26] and a cohort study by Wiernik et al. reported that in France the prevalence of hypertension was 27.0% from 1996 to 2007 [12]. The study participants who were male, older, worked a long number of years, smoked cigarettes, consumed alcohol, and were overweight had a higher incidence of hypertension. Previous studies have shown that the incidence of hypertension is primarily associated with age, gender, BMI, cigarette smoking, and genetic factors [27,28]. In this study there were 44, 112, and 75 new cases of hypertension in the low, intermediate, and high occupational stress groups, which represented a 12.0%, 15.6%, and 20.3% cumulative incidence, respectively. The scores of occupational role and personal strain of the subjects with hypertension were significantly higher than for subjects without hypertension. Moreover, the incidence of hypertension was positively correlated with occupational stress. Our study is in agreement with previous studies [29,30] and further supports the notion that high occupational stress in oil workers could increase the risk of hypertension. A multivariate Cox proportional hazards model showed that type of work, cigarette smoking, excess body weight, and obesity are risk factors that increase the incidence of hypertension. After adjustment for confounding factors, such as type of work, cigarette smoking, alcohol consumption, and BMI, the HR of high occupational stress was 1.549 (1.072–2.236) compared to the low-exposure group, and 2.337 (1.191–4.585) in female subjects. Our results are consistent with Wiernik et al. [12], who included 122,816 adult subjects (average age, 46.8 ± 9.9; and male subjects, 69.2%) and concluded that occupational stress is associated with the incidence of hypertension (OR = 1.06, 95% CI = 1.03–1.09) after other factors, except occupational status, were adjusted.
Why do the oil workers have the high prevalence of both hypertension and occupational stress? With the increase in the demand of oil in China, the expansion of personnel cannot satisfy the demand, which leads to a continuous increase in the workload of oil workers. The working conditions for oil workers can be harsh, working in an oilfield that is far from a city and often in the desert requires they often live in the staff dormitory for work in the field, leading to long-term separation from families and development of negative psychological states including loneliness, anxiety, and depression. Meanwhile, mechanical automation is constantly improving, requiring oil workers to acquire new knowledge and techniques by enrolling in training courses in their spare time, further increasing their physical and psychological stress. An unhealthy lifestyle, such as irregular diet, excessive alcohol consumption, cigarette smoking, and other unhealthy behaviors, is also common in the oil worker population. All of these factors have a negative impact on the physical and mental health of oil workers. In severe circumstances, the workers may develop sleep disorders, physical pain, or other symptoms seriously affecting their work and lives.
We recognize that there are limitations associated with our study. The follow-up time was relatively short and approximately 7% of subjects were censored, which may have influenced the results. Moreover, hypertension is associated with genetic and environmental factors. In this study, we focused our investigation on occupational stress (occupational psychological factors in the work environment), with genetic factors as well as the interaction between genetic factors and the environment not covered. Furthermore, occupational stress is a form of chronic psychological stress, promoting constant stimulation of the hypothalamus-pituitary-adrenal (HPA) axis leading to accelerated secretion of adrenaline, norepinephrine and other substances. These substances can increase blood pressure, heart and respiratory rate, and when secreted and accumulated in an abnormal manner this can lead to metabolic disorders.
Important advantages of this study include the following: (1) The subjects were oil workers in a special work environment, and the sample size was large; (2) Preliminary studies provided reliable supporting data for the present study; (3) In addition to occupational stress, the current study also investigated other lifestyle factors that may affect the incidence of hypertension. By controlling other confounding factors, the study clarified the relationship between occupational stress and hypertension.
The correlation between occupational stress and the pathogenesis of hypertension revealed in this study may have an important impact on the health of the population. At the population level, a decrease of 2 mmHg from the average SBP reduces the number of deaths due to stroke and cardiovascular diseases by approximately 10% and 7%, respectively [31]. Therefore, applying active and effective measures to reduce the levels of these risk factors will have a significantly beneficial effect on public health.

5. Conclusions

Lifestyle behaviors (cigarette smoking, alcohol consumption, and BMI) and occupational stress (occupational role and individual strain) are major risk factors for hypertension in oil workers. After controlling for other factors except occupational stress, our results suggest that an increased level of occupational stress could increase the risk of hypertension. Occupational stress may be an independent risk factor for hypertension in oil workers; however, this conclusion needs to be verified by further large-size samples and longer follow-up studies.

Acknowledgments

The authors thank the study participants. This work was funded by the National Natural Science Foundation of China: Cohort study of the effect of interaction of environment and on occupational stress-caused hypertension and mental disorder (grant No. 81460489) and the Autonomous Region Science and Technology Project Plan for Assisting Xinjiang: Ambispective cohort study of environment and on occupational stress-caused hypertension and mental disorder (grant No. 201491177).

Author Contributions

Rong Li, Xiaoyan Gao, Bo Liu and Jiwen Liu conceived and designed the study; Rong Li, Xiaoyan Gao, Bo Liu, Hua Ge, Li Ning, Junling Zhao and Jiwen Liu contributed to acquisition of data, or analysis and interpretation of data; Rong Li, Xiaoyan Gao, Bo Liu and Jiwen Liu were involved in drafting the manuscript or revising it critically for important intellectual content.

Conflicts of Interest

The authors declare no conflict of interests. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, nor in the decision to publish the results.

References

  1. Chobanian, A.V.; Bakris, G.L.; Black, H.R.; Cushman, W.C.; Green, L.A.; Izzo, J.L.; Jones, D.W.; Materson, B.J.; Oparil, S.; Wright, J.T.; et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 report. JAMA 2003, 289, 2560–2572. [Google Scholar] [CrossRef] [PubMed]
  2. Lozano, R.; Naghavi, M.; Foreman, K.; Lim, S.; Shibuya, K.; Aboyans, V.; Abraham, J.; Adair, T.; Aggarwal, R.; Ahn, S.Y.; et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012, 380, 2095–2128. [Google Scholar] [CrossRef]
  3. Abegunde, D.O.; Mathers, C.D.; Adam, T.; Ortegon, M.; Strong, K. The burden and costs of chronic diseases in low-income and middle-income countries. Lancet 2007, 370, 1929–1938. [Google Scholar] [CrossRef]
  4. Kearney, P.M.; Whelton, M.; Reynolds, K.; Muntner, P.; Whelton, P.K.; He, J. Global burden of hypertension: Analysis of worldwide data. Lancet 2005, 365, 217–223. [Google Scholar] [CrossRef]
  5. Lenfant, C.; Chobanian, A.V.; Jones, D.W.; Roccella, E.J. Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC 7): Resetting the Hypertension Sails. Hypertension 2003, 41, 1178–1179. [Google Scholar]
  6. Lamy, S.; de Gaudemaris, R.; Lepage, B.; Sobaszek, A.; Caroly, S.; Kelly-Irving, M.; Lang, T. Psychosocial and organizational work factors and incidence of arterial hypertension among female healthcare workers: Results of the Organisation des Soins et Santé des Soignants cohort. J. Hypertens. 2014, 32, 1229–1236. [Google Scholar] [CrossRef] [PubMed]
  7. Czaja-Miturai, I.; Merecz-Kot, D.; Szymczak, W.; Bortkiewicz, A. Cardiovascular risk factors and life and occupational stress among policemen. Med. Pracy 2013, 64, 335–348. [Google Scholar] [CrossRef]
  8. Fan, L.B.; Blumenthal, J.A.; Hinderliter, A.L.; Sherwood, A. The effect of job strain on nighttime blood pressure dipping among men and women with high blood pressure. Scand. J. Work Environ. Health 2013, 39, 112–119. [Google Scholar] [CrossRef] [PubMed]
  9. Bojar, I.; Humeniuk, E.; Owoc, A.; Wierzba, W.; Wojtyła, A. Exposing women to workplace stress factors as a risk factor for developing arterial hypertension. Ann. Agric. Environ. Med. 2011, 18, 175–182. [Google Scholar] [PubMed]
  10. Schulte, P.A.; Pandalai, S.; Wulsin, V.; Chun, H. Interaction of Occupational and Personal Risk Factors in Workforce Health and Safety. Am. J. Public Health 2012, 102, 434–448. [Google Scholar] [CrossRef] [PubMed]
  11. Ren, N.; Liu, B.Y.; Hu, Q.D. Study on interaction between occupational stress and risky factors of hypertension. Chin. J. Public Health 2006, 22, 343–344. (In Chinese) [Google Scholar]
  12. Wiernik, E.; Pannier, B.; Czernichow, S.; Nabi, H.; Hanon, O.; Simon, T.; Simon, J.M.; Thomas, F.; Bean, K.; Consoli, S.M.; et al. Occupational status moderates the association between current perceived stress and high blood pressure: Evidence from the IPC cohort study. Hypertension 2013, 61, 571–577. [Google Scholar] [CrossRef] [PubMed]
  13. Wiernik, E.; Nabi, H.; Pannier, B.; Czernichow, S.; Hanon, O.; Simon, T.; Simon, J.M.; Thomas, F.; Ducolombier, C.; Danchin, N.; et al. Perceived stress, sex and occupational status interact to increase the risk of future high blood pressure: The IPC cohort study. J. Hypertens. 2014, 32, 1979–1986. [Google Scholar] [CrossRef] [PubMed]
  14. Sparrenberger, F.; Cichelero, F.T.; Ascoli, A.M.; Fonseca, F.P.; Weiss, G.; Berwanger, O.; Fuchs, S.C.; Moreira, L.B.; Fuchs, F.D. Does psychosocial stress cause hypertension? A systematic review of observational studies. J. Hum. Hypertens. 2009, 23, 12–19. [Google Scholar] [CrossRef] [PubMed]
  15. Gerin, W.; James, G.D. Psychosocial determinants of hypertension: Laboratory and field models. Blood Press Monit. 2010, 15, 93–99. [Google Scholar] [CrossRef] [PubMed]
  16. Cuffee, Y.; Ogedegbe, C.; Williams, N.J.; Ogedegbe, G.; Schoenthaler, A. Psychosocial risk factors for hypertension: An update of the literature. Curr. Hypertens. Rep. 2014, 16, 483. [Google Scholar] [CrossRef] [PubMed]
  17. Writing Group of 2010 Chinese Guidelines for the Management of Hypertension. 2004 update: Chinese guideline for prevention and treatment of patients with hypertension (practical edition). Chin. J. Cardiol. 2004, 32, 1060–1063. (In Chinese) [Google Scholar]
  18. Osipow, S.H. Occupational Stress Inventory Revised Edition (OSI-R); Psychological Assessment Resources, Inc.: Odessa, FL, USA, 1998; pp. 1–15. [Google Scholar]
  19. Li, J.; Lan, Y.J.; Wang, Z.M.; Wang, J.Z.; Wang, M.Z.; Liu, G.Q. The test of occupational stress inventory revised edition. Chin. J. Ind. Hyg. Occup. Dis. 2001, 19, 190–193. (In Chinese) [Google Scholar]
  20. Zhang, X.; Song, H.; Chen, N.; Liu, H.R.; Zhu, L.Q.; Zhang, Z.X.; Wang, L. Relationship between occupational stress and blood glucose, blood lipid, blood pressure of video display terminal operators. Chin. J. Ind. Hyg. Occup. Dis. 2007, 25, 142–144. (In Chinese) [Google Scholar]
  21. Zhao, W.H.; Ning, G. National Work Group of the China Chronic Disease Surveillance Project (2010). The contents and methods of China Chronic Disease Surveillance Project in 2010. Chin. J. Prev. Med. 2012, 46, 477–479. (In Chinese) [Google Scholar]
  22. Department of Disease Control, Ministry of Health of the People’s Republic of China. Chinese Adult Overweight and Obesity Prevention and Control Guideline; People’s Medical Publishing House: Beijing, China, 2006. (In Chinese)
  23. Lian, Y.L.; Liu, J.W.; Tan, W.G.; Zeng, H.; Wang, H. Effects of occupational stress on immunological function, glucose and blood lipid of female workers in oil-field. Wei Sheng Yan Jiu 2005, 34, 469–471. (In Chinese) [Google Scholar] [PubMed]
  24. Ning, L.; Li, F.; Yang, X.; Ge, H.; Liu, J. Investigation research of occupational stress and job burnout for oil-field workers in Xinjiang. Wei Sheng Yan Jiu 2014, 43, 245–249. (In Chinese) [Google Scholar] [PubMed]
  25. Yang, X.W.; Wang, Z.M.; Jin, T.Y. Study on the occupational stress norm and its application for the marketing group, public service/safety group and production laborer group. Wei Sheng Yan Jiu 2006, 35, 594–608. (In Chinese) [Google Scholar] [PubMed]
  26. Wang, J.W.; Zhang, L.X.; Wang, F.; Liu, L.S.; Wang, H.Y.; China National Survey of Chronic Kidney Disease Working Group. Prevalence, awareness, treatment, and control of hypertension in China: Results from a national survey. Am. J. Hypertens. 2014, 27, 1355–1361. [Google Scholar] [CrossRef] [PubMed]
  27. Mucci, N.; Giorgi, G.; De Pasquale Ceratti, S.; Fiz-Pérez, J.; Mucci, F.; Arcangeli, G. Anxiety, Stress-Related Factors, and Blood Pressure in Young Adults. Front. Psychol. 2016, 7, 1682. [Google Scholar] [CrossRef] [PubMed]
  28. Basson, J.; Simino, J.; Rao, D.C. Between candidate genes and whole genomes: Time for alternative approaches in blood pressure genetics. Curr. Hypertens. Rep. 2012, 1, 46–61. [Google Scholar] [CrossRef] [PubMed]
  29. Guimont, C.; Brisson, C.; Dagenais, G.R.; Milot, A.; Vézina, M.; Mâsse, B.; Moisan, J.; Laflamme, N.; Blanchette, C. Effects of job strain on blood pressure: A prospective study of male and female white collar workers. Am. J. Public Health 2006, 96, 1436–1443. [Google Scholar] [CrossRef] [PubMed]
  30. Landsbergis, P.A.; Schnall, P.L.; Pickering, T.G.; Warren, K.; Schwartz, J.E. Life course exposure to job strain and ambulatory blood pressure in men. Am. J. Epidemiol. 2003, 157, 998–1006. [Google Scholar] [CrossRef] [PubMed]
  31. Trudel, X.; Brisson, C.; Milot, A.; Masse, B.; Vézina, M. Adverse psychosocial work factors, blood pressure and hypertension incidence: Repeated exposure in a 5-year prospective cohort study. J. Epidemiol. Community Health 2016, 70, 402–408. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Two-year cumulative incidence (%) in different occupational stress groups.
Figure 1. Two-year cumulative incidence (%) in different occupational stress groups.
Ijerph 14 00001 g001
Table 1. General demographic characteristics of the subjects.
Table 1. General demographic characteristics of the subjects.
ItemsGroupsCase NumberPercentage (%)
GenderMale71552.8
Female63947.2
Age (years old)<3538928.7
35–4556341.6
45–6040229.7
Number of working years≤2063046.6
>2072453.4
Work shiftFixed day shift57342.3
Work in shifts78157.7
EthnicityHan106478.5
Minority29021.5
Educational levelHigh school or less31623.3
Secondary technical school and college72853.8
University and above31022.9
Marital statusUnmarried13610.0
Married108780.2
Divorced or widowed1319.8
Income (yuan)≤350050837.5
>350084662.5
Table 2. Comparison of the score of occupational stress between oil workers and Chinese norm.
Table 2. Comparison of the score of occupational stress between oil workers and Chinese norm.
ItemsOil WorkersChinese Normt Valuep Value
Occupational role176.87 ± 28.85162.89 ± 27.0416.455<0.001
Personal strain103.53 ± 20.8291.01 ± 17.1922.12<0.001
Personal resources119.21 ± 23.57129.23 ± 17.73−15.638<0.001
Table 3. Comparison of the score of occupational stress in different types of work groups.
Table 3. Comparison of the score of occupational stress in different types of work groups.
GroupsCase NumberOccupational RolePersonal StrainPersonal Resources
Oil production workers501179.32 ± 26.02103.32 ± 21.55123.29 ± 22.40
Oil transportation workers338177.97 ± 28.74105.08 ± 20.62123.94 ± 20.81
Oil refining workers359178.62 ± 30.43103.19 ± 19.04124.33 ± 21.11
Other workers156182.48 ± 27.13103.81 ± 21.65120.09 ± 22.66
t value 0.9830.6282.466
p value 0.4000.5970.061
Table 4. Comparison of the characteristics of subjects with and without hypertension. BMI: body mass index.
Table 4. Comparison of the characteristics of subjects with and without hypertension. BMI: body mass index.
Type of HypertensionCase NumberPercentage (%)
Isolated systolic hypertension219.09
Isolated diastolic hypertension11348.92
Systolic-diastolic hypertension9741.99
Total231100
Table 5. Comparison of the characteristics of subjects with and without hypertension.
Table 5. Comparison of the characteristics of subjects with and without hypertension.
ItemsHypertension (n = 231)Non-Hypertension (n = 1123)t/Chi-Square Valuep Value
Age (years old)43.25 ± 6.2239.06 ± 7.458.991<0.001
Number of years worked23.77 ± 9.2917.99 ± 9.128.509<0.001
BMI (kg/m2)26.58 ± 8.1124.13 ± 11.103.1880.001
Gender 38.756<0.001
Male165 (23.08)550 (76.92)
Female66 (10.33)573 (89.67)
Type of work 0.8310.842
Oil production workers80 (15.97)421 (84.03)
Oil transportation workers60 (17.75)278 (82.25)
Oil refinery workers65 (18.11)294 (81.89)
Other workers26 (16.67)130 (83.33)
Work shift 2.7030.108
Fixed day shift109 (19.02)464 (80.98)
Rotation shift122 (15.62)659 (84.38)
Smoking history 61.454<0.001
No84 (10.92)685 (89.08)
Previous 44 (18.18)198 (81.82)
Often103 (30.03)240 (69.97)
Drinking history 94.742<0.001
No76 (12.97)510 (87.03)
Occasional78 (13.31)508 (86.69)
Often 77 (42.31)105 (57.69)
Physical exercise 0.3550.837
No56 (17.72)260 (82.28)
Occasional139 (16.59)699 (83.41)
Often36 (18.00)164 (82.00)
BMI 100.498<0.001
Normal55 (7.85)646 (92.15)
Overweight108 (23.48)352 (76.52)
Obesity68 (35.23)125 (64.77)
Table 6. Comparison of the occupational stress scores of subjects with and without hypertension.
Table 6. Comparison of the occupational stress scores of subjects with and without hypertension.
GroupsOccupational RolePersonal StrainPersonal Resources
Hypertension (n = 231)188.03 ± 24.15109.37 ± 21.60123.60 ± 20.76
Non-hypertension (n = 1123)177.34 ± 28.46102.63 ± 20.30122.54 ± 22.22
t value−0.5330−4.542−0.668
p value<0.001<0.0010.504
Table 7. Analysis of the risk factors for hypertension.
Table 7. Analysis of the risk factors for hypertension.
Independent VariablesβSEChi-Square Valuep ValueHR (95% CI)
Gender−0.2690.1652.6490.1040.764 (0.553–1.056)
Age (years old)0.0290.0211.9960.1581.029 (0.989–1.072)
Work years0.0250.0162.5570.1081.026 (0.994–1.058)
Work shift0.1230.1520.6570.4181.131 (0.840–1.522)
Type of work--32.890<0.001-
Oil production workers0.6140.1959.8790.0021.847 (1.260–2.708)
Oil transportation workers0.9860.21720.754<0.0012.682 (1.754–4.100)
Oil refining workers–0.4470.2513.1660.0750.640 (0.391–1.046)
Smoking history--14.0440.001-
Previous0.6750.20011.3460.0011.964 (1.326–2.908)
Often0.5990.1919.8460.0021.820 (1.252–2.646)
Drinking history--19.421<0.001-
Occasional–0.5690.1859.4420.0020.566 (0.394–0.814)
Often0.1120.2130.2740.6011.118 (0.736–1.699)
Physical exercise--0.3500.840-
Occasional−0.0540.1600.1150.7350.947 (0.692–1.297)
Often0.0520.2210.0550.8141.053 (0.684–1.623)
BMI--38.880<0.001-
Overweight0.7480.17618.031<0.0012.112 (1.496–2.983)
Obesity1.2080.19438.685<0.0013.347 (2.287–4.898)
Note: β, regression coefficient; SE, standard error; HR, hazard ratio.
Table 8. The risk for hypertension in different occupational stress groups analyzed by a Cox proportional hazards model.
Table 8. The risk for hypertension in different occupational stress groups analyzed by a Cox proportional hazards model.
Categorical VariablesModel 1 HR (95% CI)p ValueModel 2 HR (95% CI)p Value
Occupational stress
Low1.000-1.000-
Intermediate1.086 (0.767–1.538) 0.1850.980 (0.691–1.390)0.912
High1.675 (1.161–2.418) 0.0061.549 (1.072–2.236)0.020
Note: Model 1, univariate model; Model 2, multivariate model in which type of work, cigarette smoking, alcohol consumption, and BMI were controlled.
Table 9. The risk for hypertension of female subjects in different occupational stress groups analyzed by a Cox proportional hazards model.
Table 9. The risk for hypertension of female subjects in different occupational stress groups analyzed by a Cox proportional hazards model.
Categorical VariablesModel 1 HR (95% CI)p ValueModel 2 HR (95% CI)p Value
Occupational stress
Low1.000-1.000 -
Intermediate1.075 (0.588–1.965)0.8151.060 (0.578–1.945)0.851
High2.208 (1.133–4.303)0.0202.337 (1.191–4.585)0.014
Note: Model 1, univariate model; Model 2, multivariate model in which type of work, cigarette smoking, alcohol consumption, and BMI were controlled.
Table 10. The risk for hypertension of male subjects in different occupational stress groups analyzed by a Cox proportional hazards model.
Table 10. The risk for hypertension of male subjects in different occupational stress groups analyzed by a Cox proportional hazards model.
Categorical VariablesModel 1 HR (95% CI)p ValueModel 2 HR (95% CI)p Value
Occupational stress
Low1.000-1.000-
Intermediate0.990 (0.645–1.518)0.9620.862 (0.558–1.331)0.502
High1.263 (0.809–1.970)0.304 1.269 (0.812–1.984)0.295
Note: Model 1, univariate model; Model 2, multivariate model in which type of work, cigarette smoking, alcohol consumption, and BMI were controlled.

Share and Cite

MDPI and ACS Style

Li, R.; Gao, X.; Liu, B.; Ge, H.; Ning, L.; Zhao, J.; Liu, J. Prospective Cohort Study to Elucidate the Correlation between Occupational Stress and Hypertension Risk in Oil Workers from Kelamayi City in the Xinjiang Uygur Autonomous Region of China. Int. J. Environ. Res. Public Health 2017, 14, 1. https://doi.org/10.3390/ijerph14010001

AMA Style

Li R, Gao X, Liu B, Ge H, Ning L, Zhao J, Liu J. Prospective Cohort Study to Elucidate the Correlation between Occupational Stress and Hypertension Risk in Oil Workers from Kelamayi City in the Xinjiang Uygur Autonomous Region of China. International Journal of Environmental Research and Public Health. 2017; 14(1):1. https://doi.org/10.3390/ijerph14010001

Chicago/Turabian Style

Li, Rong, Xiaoyan Gao, Bo Liu, Hua Ge, Li Ning, Junling Zhao, and Jiwen Liu. 2017. "Prospective Cohort Study to Elucidate the Correlation between Occupational Stress and Hypertension Risk in Oil Workers from Kelamayi City in the Xinjiang Uygur Autonomous Region of China" International Journal of Environmental Research and Public Health 14, no. 1: 1. https://doi.org/10.3390/ijerph14010001

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop