Skip to main content
Log in

Association between occupational stressors and type 2 diabetes among Chinese police officers: a 4-year follow-up study in Tianjin, China

  • Original Article
  • Published:
International Archives of Occupational and Environmental Health Aims and scope Submit manuscript

Abstract

Purpose

To explore the relationship between occupational stressors and the incidence of type 2 diabetes mellitus among police officers.

Methods

Baseline data were collected from policemen who completed the Occupational Stress Inventory-Revised (OSI-R) questionnaire, a self-designed questionnaire, and underwent free clinical measurements at the Medical Center of Police Hospital in Tianjin, China, in April 2007. A total of 5811 policemen participated in follow-up with the dynamic observation of new-onset diabetes (NOD) events occurring annually between 2008 and 2011. Occupational stress was measured by the OSI-R questionnaire, which contains 14 different scales. Cox proportional hazards regression was used to calculate the hazard ratios (HR) of the incidence of type 2 diabetes mellitus (T2DM) by occupational stressors.

Results

A total of 3.1 % of the participants (n = 179) developed NOD in the follow-up period from 2008 to 2011, and the incidence rates of NOD were 0.58 % in 2008, 0.98 % in 2009, 0.52 % in 2010, and 1.01 % in 2011. Role overload (RO), role boundary (RB), physical environment (PE), interpersonal strain (IS), and physical strain (PHS) were associated with the incidence of T2DM (RO: HR = 1.574, 95 % CI = 1.071–2.372; RB: HR = 1.645, 95 % CI = 1.144–2.365; PE: HR = 2.292, 95 % CI = 1.545–3.400; IS: HR = 1.537, 95 % CI = 1.079–2.191; and PHS: HR = 1.680, 95 % CI = 1.167–2.006) after adjustment for confounding factors. A subgroup Cox regression analysis among traffic control police officers showed the specific work stressors remained robust except RO.

Conclusions

Several aspects of stressors were independent predictors of T2DM in a prospective cohort study in Tianjin, China. This practical information can be applied to the development of psychological interventions against T2DM.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Agardh EE, Ahlbom A, Andersson T, Efendic S, Grill V, Hallqvist J, Norman A, Ostenson CG (2003) Work stress and low sense of coherence is associated with type 2 diabetes in middle-aged Swedish women. Diab Care 26(3):719–724

    Article  Google Scholar 

  • Ahn S, Zhao H, Tai-Seale M, Huber C Jr, Smith ML, Ory MG, Phillips CD (2012) The longitudinal effects of behavioral, health, and socio-demographic factors on body mass index among older Chinese adults. Int J Public Health 57(2):269–277

    Article  Google Scholar 

  • Alderman SL, McGuire A, Bernier NJ, Vijayan MM (2012) Central and peripheral glucocorticoid receptors are involved in the plasma cortisol response to an acute stressor in rainbow trout. Gen Comp Endocrinol 176(1):79–85

    Article  CAS  Google Scholar 

  • Al-Goblan AS, Al-Alfi MA, Khan MZ (2014) Mechanism linking diabetes mellitus and obesity. Diab Metab Syndr Obes 7:587–591

    Article  Google Scholar 

  • Boyle T, Fritschi L, Tabatabaei SM, Ringwald K, Heyworth JS (2014) Smoking, alcohol, diabetes, obesity, socioeconomic status, and the risk of colorectal cancer in a population-based case-control study. Cancer Causes Control 25(12):1659–1668

    Article  Google Scholar 

  • Browne JL, Nefs G, Pouwer F, Speight J (2015) Depression, anxiety and self-care behaviours of young adults with type 2 diabetes: results from the International Diabetes Management and Impact for Long-term Empowerment and Success (MILES) Study. Diab Med 32(1):133–140

    Article  CAS  Google Scholar 

  • Carr F (2015) Behavioural neuroscience: diabetes, dopamine and depression. Nat Rev Neurosci 16(5):248

    Google Scholar 

  • Chen X, Leng L, Yu H, Yang XL, Dong GH, Yue S, Chen JS, Tang NJ (2015) Psychological distress and dyslipidemia in Chinese Police Officers: a 4-year follow-up study in Tianjin, China. J Occup Environ Med 57(4):400–405

    Article  Google Scholar 

  • Cobb S, Rose RM (1973) Hypertension, peptic ulcer, and diabetes in air traffic controllers. JAMA 224(4):489–492

    Article  CAS  Google Scholar 

  • Constantino MI, Molyneaux L, Limacher-Gisler F, Al-Saeed A, Luo C, Wu T, Twigg SM, Yue DK, Wong J (2013) Long-term complications and mortality in young-onset diabetes: type 2 diabetes is more hazardous and lethal than type 1 diabetes. Diab Care 36(12):3863–3869

    Article  CAS  Google Scholar 

  • de Groot M, Auslander W, Williams JH, Sherraden M, Haire-Joshu D (2003) Depression and poverty among African American women at risk for type 2 diabetes. Ann Behav Med 25(3):172–181

    Article  Google Scholar 

  • Djindjic N, Jovanovic J, Djindjic B, Jovanovic M, Jovanovic JJ (2012) Associations between the occupational stress index and hypertension, type 2 diabetes mellitus, and lipid disorders in middle-aged men and women. Ann Occup Hyg 56(9):1051–1062

    Article  CAS  Google Scholar 

  • Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (2003) Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diab Care 26(Suppl 1):S5–S20

    Google Scholar 

  • Eze IC, Hemkens LG, Bucher HC, Hoffmann B, Schindler C, Kunzli N, Schikowski T, Probst-Hensch NM (2015) Association between ambient air pollution and diabetes mellitus in Europe and North America: systematic review and meta-analysis. Environ Health Perspect 123(5):381–389

    Google Scholar 

  • Heden Stahl C, Novak M, Hansson PO, Lappas G, Wilhelmsen L, Rosengren A (2014) Incidence of Type 2 diabetes among occupational classes in Sweden: a 35-year follow-up cohort study in middle-aged men. Diab Med 31(6):674–680

    Article  CAS  Google Scholar 

  • Heraclides A, Chandola T, Witte DR, Brunner EJ (2009) Psychosocial stress at work doubles the risk of type 2 diabetes in middle-aged women: evidence from the Whitehall II study. Diab Care 32(12):2230–2235

    Article  Google Scholar 

  • Heraclides AM, Chandola T, Witte DR, Brunner EJ (2012) Work stress, obesity and the risk of type 2 diabetes: gender-specific bidirectional effect in the Whitehall II study. Obesity (Silver Spring, MD) 20(2):428–433

    Article  Google Scholar 

  • Kamble SV, Phalke DB (2011) Study of occupational stress as a risk factor for various morbidities among policemen. J Indian Med Assoc 109(4):238–240

    Google Scholar 

  • Karasek R, Baker D, Marxer F, Ahlbom A, Theorell T (1981) Job decision latitude, job demands, and cardiovascular disease: a prospective study of Swedish men. Am J Public Health 71(7):694–705

    Article  CAS  Google Scholar 

  • Kawakami N, Araki S, Takatsuka N, Shimizu H, Ishibashi H (1999) Overtime, psychosocial working conditions, and occurrence of non-insulin dependent diabetes mellitus in Japanese men. J Epidemiol Community Health 53(6):359–363

    Article  CAS  Google Scholar 

  • Khoudri I, Ali Zeggwagh A, Abidi K, Madani N, Abouqal R (2007) Measurement properties of the short form 36 and health-related quality of life after intensive care in Morocco. Acta Anaesthesiol Scand 51(2):189–197

    Article  CAS  Google Scholar 

  • Kim CJ, Schlenk EA, Kim DJ, Kim M, Erlen JA, Kim SE (2015) The role of social support on the relationship of depressive symptoms to medication adherence and self-care activities in adults with type 2 diabetes. J Adv Nurs. doi:10.1111/jan.12682

    Google Scholar 

  • Kroenke CH, Spiegelman D, Manson J, Schernhammer ES, Colditz GA, Kawachi I (2007) Work characteristics and incidence of type 2 diabetes in women. Am J Epidemiol 165(2):175–183

    Article  Google Scholar 

  • Li J, Jarczok MN, Loerbroks A, Schollgen I, Siegrist J, Bosch JA, Wilson MG, Mauss D, Fischer JE (2013) Work stress is associated with diabetes and prediabetes: cross-sectional results from the MIPH Industrial Cohort Studies. Int J Behav Med 20(4):495–503

    Article  Google Scholar 

  • Lusk SL, Gillespie B, Hagerty BM, Ziemba RA (2004) Acute effects of noise on blood pressure and heart rate. Arch Environ Health 59(8):392–399

    Article  Google Scholar 

  • Macleod J, Davey Smith G, Heslop P, Metcalfe C, Carroll D, Hart C (2002) Psychological stress and cardiovascular disease: empirical demonstration of bias in a prospective observational study of Scottish men. BMJ 324(7348):1247–1251

    Article  Google Scholar 

  • Mak SK, Spurgeon P (2004) The effects of acute sleep deprivation on performance of medical residents in a regional hospital: prospective study. Hong Kong Med J 10(1):14–20

    CAS  Google Scholar 

  • Martins V, Reid D (2007) New-immigrant women in urban Canada: insights into occupation and sociocultural context. Occup Ther Int 14(4):203–220

    Article  Google Scholar 

  • Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC (1985) Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 28(7):412–419

    Article  CAS  Google Scholar 

  • Meyers JL, Parasuraman S, Bell KF, Graham JP, Candrilli SD (2014) The high-cost, type 2 diabetes mellitus patient: an analysis of managed care administrative data. Arch Public Health 72(1):6

    Article  Google Scholar 

  • Moulton CD, Pickup JC, Ismail K (2015) The link between depression and diabetes: the search for shared mechanisms. Lancet Diab Endocrinol 3(6):461–471

    Article  Google Scholar 

  • Nakanishi N, Nishina K, Yoshida H, Matsuo Y, Nagano K, Nakamura K, Suzuki K, Tatara K (2001) Hours of work and the risk of developing impaired fasting glucose or type 2 diabetes mellitus in Japanese male office workers. Occup Environ Med 58(9):569–574

    Article  CAS  Google Scholar 

  • Norberg M, Stenlund H, Lindahl B, Andersson C, Eriksson JW, Weinehall L (2007) Work stress and low emotional support is associated with increased risk of future type 2 diabetes in women. Diab Res Clin Pract 76(3):368–377

    Article  CAS  Google Scholar 

  • Nyberg ST, Fransson EI, Heikkila K, Ahola K, Alfredsson L, Bjorner JB, Borritz M, Burr H, Dragano N, Goldberg M, Hamer M, Jokela M, Knutsson A, Koskenvuo M, Koskinen A, Kouvonen A, Leineweber C, Madsen IE, Magnusson Hanson LL, Marmot MG, Nielsen ML, Nordin M, Oksanen T, Pejtersen JH, Pentti J, Rugulies R, Salo P, Siegrist J, Steptoe A, Suominen S, Theorell T, Vaananen A, Vahtera J, Virtanen M, Westerholm PJ, Westerlund H, Zins M, Batty GD, Brunner EJ, Ferrie JE, Singh-Manoux A, Kivimaki M (2014) Job strain as a risk factor for type 2 diabetes: a pooled analysis of 124,808 men and women. Diab care 37(8):2268–2275

    Article  Google Scholar 

  • Oba S, Suzuki E, Yamamoto M, Horikawa Y, Nagata C, Takeda J (2015) Active and passive exposure to tobacco smoke in relation to insulin sensitivity and pancreatic beta-cell function in Japanese subjects. Diab Metab 41(2):160–167

    Article  CAS  Google Scholar 

  • Osipow SH (1998) A manual for the occupational stress inventory revised edition (professional manual). Psychological Assessment Resources, Inc., Lutz

    Google Scholar 

  • Osipow SH, Spokane AR (1987) A manual for the occupational stress inventory (research version). Psychological Assessment Resources, Inc., Odessa

    Google Scholar 

  • Pan XR, Yang WY, Li GW, LiU J, National Diabetes Prevention and Control Cooperative Group (1997) Prevalence of diabetes and its risk factors in China, 1994. Diab Care 20(11):1664–1669

    Article  CAS  Google Scholar 

  • Park SK, Adar SD, O’Neill MS, Auchincloss AH, Szpiro A, Bertoni AG, Navas-Acien A, Kaufman D, Diez-Roux AV (2015) Long-term exposure to air pollution and type 2 diabetes mellitus in a multiethnic cohort. Am J Epidemiol 181(5):327–336

    Article  Google Scholar 

  • Perry-Jenkins M, Goldberg AE, Pierce CP, Sayer AG (2007) Shift work, role overload, and the transition to parenthood. J Marriage Family 69(1):123–138

    Article  Google Scholar 

  • Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN, Jones DW, Kurtz T, ShepsSG Roccella EJ (2005) Recommendations for blood pressure measurement in humans and experimental animals: part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. Circulation 111(5):697–716

    Article  Google Scholar 

  • Saif A, Karawya S, Abdelhamid A (2014) Blood pressure is a risk factor for progression of diabetic retinopathy in normotensive patients with type 2 diabetes: correlation with carotid intima-media thickness. Endocr Regul 48(4):189–194

    Article  CAS  Google Scholar 

  • Shayeghian Z, Aguilar-Vafaie ME, Besharat MA, Amiri P, Parvin M, Gillani KR, Hassanabadi H (2015) Self-care activities and glycated haemoglobin in Iranian patients with type 2 diabetes: can coping styles and social support have a buffering role? Psychol Health 30(2):153–164

    Article  Google Scholar 

  • Simpson GC, Cox T, Rothschild DR (1974) The effects of noise stress on blood glucose level and skilled performance. Ergonomics 17(4):481–487

    Article  CAS  Google Scholar 

  • Sorensen M, Andersen ZJ, Nordsborg RB, Becker T, Tjonneland A, Overvad K, Raaschou-Nielsen O (2013) Long-term exposure to road traffic noise and incident diabetes: a cohort study. Environ Health Perspect 121(2):217–222

    Google Scholar 

  • Takahashi E, Moriyama K, Yamakado M (2014) Lifestyle and glycemic control in Japanese adults receiving diabetes treatment: an analysis of the 2009 Japan Society of Ningen Dock database. Diab Res Clin Pract 104(2):e50–e53

    Article  CAS  Google Scholar 

  • Tjeerdema N, Georgiadi A, Jonker JT, van Glabbeek M, Alizadeh Dehnavi R, Tamsma JT, Smit JW, Kersten S, Rensen PC (2014) Inflammation increases plasma angiopoietin-like protein 4 in patients with the metabolic syndrome and type 2 diabetes. BMJ Open Diab Res Care 2(1):e000034

    Article  Google Scholar 

  • Wang Z, Lan Y, Li J, Wang M (2001) Appraisal of occupational stress and strain in primary and secondary school teachers. Hua xi yi ke da xue xue bao 32(3):392–395

    CAS  Google Scholar 

  • Wang JN, Sun W, Chi TS, Wu H, Wang L (2010) Prevalence and associated factors of depressive symptoms among Chinese doctors: a cross-sectional survey. Int Arch Occup Environ Health 83(8):905–911

    Article  Google Scholar 

  • Wilf-Miron R, Bolotin A, Gordon N, Porath A, Peled R (2014) The association between improved quality diabetes indicators, health outcomes and costs: towards constructing a “business case” for quality of diabetes care–a time series study. BMC Endocr Disord 14:92

    Article  Google Scholar 

  • Wrieden WL, Hannah MK, Bolton-Smith C, Tavendale R, Morrison C, Tunstall-Pedoe H (2000) Plasma vitamin C and food choice in the third Glasgow MONICA population survey. J Epidemiol Community Health 54(5):355–360

    Article  CAS  Google Scholar 

  • Wu S, Zhu W, Wang Z, Wang M, Lan Y (2007) Relationship between burnout and occupational stress among nurses in China. J Adv Nurs 59(3):233–239

    Article  Google Scholar 

  • Wu S, Zhu W, Li H, Yu IT, Lin S, Wang X, Yang S (2010) Quality of life and its influencing factors among medical professionals in China. Int Arch Occup Environ Health 83(7):753–761

    Article  Google Scholar 

  • Wu SY, Li HY, Yang SJ, Zhu W, Wang XR (2012) The mediating and moderating role of personal strain and coping resource in the relationship between work stressor and quality of life among Chinese nurses. Int Arch Occup Environ Health 85(1):35–43

    Article  Google Scholar 

  • Yang W, Lu J, Weng J, Jia W, Ji L, Xiao J, Shan Z, Liu J, Tian H, Ji Q, Zhu D, Ge J, Lin L, Chen L, Guo X, Zhao Z, Li Q, Zhou Z, Shan G, He J, China National Diabetes and Metabolic Disorders Study Group (2010) Prevalence of diabetes among men and women in China. N Engl J Med 362(12):1090–1101

    Article  CAS  Google Scholar 

  • Yang XW, Liu ZJ, Zhao PQ, Bai SY, Pang XH, Wang ZM, Jin TY, Lan YJ (2006) A study of the occupational stress norm and it’ s application for the technical group and scientific research group. J Hyg Res 35(6):781–784

    Google Scholar 

Download references

Acknowledgments

We gratefully acknowledge the financial support from the Tianjin scientific and technological support key projects (No. 08ZCGYSF01500) and the Tianjin Municipal Science and Technology Commission. We thank for all those involved in research work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nai-jun Tang.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

H. Yu and J. Liu contributed equally to this work and should be considered co-first authors.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 21 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, H., Liu, Jc., Fan, Yj. et al. Association between occupational stressors and type 2 diabetes among Chinese police officers: a 4-year follow-up study in Tianjin, China. Int Arch Occup Environ Health 89, 277–288 (2016). https://doi.org/10.1007/s00420-015-1071-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00420-015-1071-9

Keywords

Navigation