The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Chronic stress at work and the metabolic syndrome: prospective study
Open accessAbstract
OBJECTIVES: To investigate the association between stress at work and the metabolic syndrome. [table: see text]. DESIGN: Prospective cohort study investigating the association between work stress and the metabolic syndrome. PARTICIPANTS: 10 308 men and women, aged 35-55, employed in 20 London civil service departments at baseline (the Whitehall II study); follow-up was an average of 14 years. MAIN OUTCOME MEASURES: Work stress based on the iso-strain model, measured on four occasions (1985-99). Biological measures of the metabolic syndrome, based on the National Cholesterol Education Program definition, measured in 1997-9. RESULTS: A dose-response relation was found between exposure to work stressors over 14 years and risk of the metabolic syndrome, independent of other relevant risk factors. Employees with chronic work stress (three or more exposures) were more than twice as likely to have the syndrome than those without work stress (odds ratio adjusted for age and employment grade 2.25, 95% confidence interval 1.31 to 3.85). CONCLUSIONS: Stress at work is an important risk factor for the metabolic syndrome. The study provides evidence for the biological plausibility of the link between psychosocial stressors from everyday life and heart disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“stress is an independent risk factor for illness and even mortality [5–7].”
From A pilot randomised trial comparing a mindfulness-based stress reduction course, a locally-developed stress reduction intervention and a waiting list control group in a real-life municipal health care setting (2020) · cites this paper as [6]
Experimental — accuracy not yet measuredIn the citing paper
“psychological stressors that are persistently present in some contemporary work environments, such as those characterized by high job demand and low control, can cause physiologic changes155 that disrupt the ability for glucocorticoids to effectively down-regulate inflammatory activity due to decreased sensitivity caused by chronic elevation in cortisol, leading in turn to SCI and poor health156”
From Chronic inflammation in the etiology of disease across the life span (2019) · cites this paper as [155]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
Healthy work: stress, productivity, and the reconstruction of working life
(1990) · Choice Reviews Online · doi:10.5860/choice.28-0381 · Cited by 8,163
Health inequalities among British civil servants: the Whitehall II study
Marmot, M. G., Stansfeld, S. A., Patel, C., North, F. M., Head, J. A., White, I. R., Brunner, E. J., Feeney, A., Marmot, M. G., & Smith, G. D. (1991) · The Lancet · doi:10.1016/0140-6736(91)93068-k · Cited by 3,571
Self-citationRosengren, A., Hawken, S., Ôunpuu, S., Sliwa, K., Zubaid, M., Almahmeed, W. A., Blackett, K. N., Sitthi-amorn, C., Sato, H., & Yusuf, S. (2004) · The Lancet · doi:10.1016/s0140-6736(04)17019-0 · Cited by 2,414
Multiple Imputation of Missing Values
Royston, P. (2004) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0400400301 · Cited by 2,340 · cited 1×
“Our missing data analysis procedures used missing at random (MAR) assumptions. We used the MICE (multivariate imputation by chained equations) method of multiple multivariate imputation in STATA.”
MethodMarmot, M., Bosma, H., Hemingway, H., Brunner, E., & Stansfeld, S. (1997) · The Lancet · doi:10.1016/s0140-6736(97)04244-x · Cited by 1,291
Self-citationJob Strain and Cardiovascular Disease
Schnall, P. L., Landsbergis, P. A., & Baker, D. B. (1994) · Annual Review of Public Health · doi:10.1146/annurev.pu.15.050194.002121 · Cited by 850
Research works printed but not linked: 2
- Brunner EJ, Marmot MG. Social organisation, stress and health. In: Marmot MG, Wilkinson RG, eds. Social determinants of health. Oxford: Oxford University Press, 2006; 6-30.
- Liao DP, Evans G, Arnett D, Pankow J, Liese A, Davis CE, et al. Multiple metabolic syn- drome is associated with increased arterial stiffness-the ARIC study. Circulation 1998;97:828.
Cited by
Sorted by citations
Items 201–300 of 999
Epel, E. S., Laraia, B. A., Coleman‐Phox, K., Leung, C. W., Vieten, C., Mellin, L. M., Kristeller, J. L., Thomas, M., Stotland, N. E., Bush, N. R., et al. (2019) · International Journal of Behavioral Medicine · doi:10.1007/s12529-019-09779-2 · Cited by 72
Shiftwork and metabolic dysfunction
Tucker, P., Marquié, J.-C., Folkard, S., Ansiau, D., & Esquirol, Y. (2012) · Chronobiology International · doi:10.3109/07420528.2012.675259 · Cited by 69
Janczura, M., Bochenek, G., Nowobilski, R., Dropiński, J., Kotula-Horowitz, K., Laskowicz, B., Stanisz, A., Lelakowski, J., & Domagała, T. B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133750 · Cited by 73
Lei, Y., Yang, G., Hu, L., Piao, L., Inoue, A., Jiang, H., Sasaki, T., Zhao, G., Yisireyili, M., Yu, C., et al. (2017) · International Journal of Cardiology · doi:10.1016/j.ijcard.2017.05.062 · Cited by 69
Wearable sensor-based evaluation of psychosocial stress in patients with metabolic syndrome
Akbulut, F. P., İkitimur, B., & Akan, A. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101824 · Cited by 71
The limitations of employment as a tool for social inclusion
Leach, L., Butterworth, P., Strazdins, L. M., Rodgers, B., Broom, D. H., & Olesen, S. C. (2010) · BMC Public Health · doi:10.1186/1471-2458-10-621 · Cited by 76
Igic, I., Keller, A. C., Elfering, A., Tschan, F., Kälin, W., & Semmer, N. K. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000225 · Cited by 75
Piao, L., Zhao, G., Zhu, E., Inoue, A., Shibata, R., Lei, Y., Hu, L., Yu, C., Yang, G., Wu, H., et al. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.006421 · Cited by 65
Wright, C. D., Tiani, A. G., Billingsley, A. L., Steinman, S. A., Larkin, K. T., & McNeil, D. W. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02498 · Cited by 76
Assessment and Screening of the Risk Factors in Metabolic Syndrome
Kaur, J. (2014) · Medical Sciences · doi:10.3390/medsci2030140 · Cited by 66
Gimeno, D., Brunner, E. J., Lowe, G. D. O., Rumley, A., Marmot, M. G., & Ferrie, J. E. (2007) · European Journal of Epidemiology · doi:10.1007/s10654-007-9171-9 · Cited by 66
Self-citationStressful work environment and wellbeing: What comes first?
Elovainio, M. J., Heponiemi, T., Jokela, M. M., Hakulinen, C. A., Presseau, J., Aalto, A., & Mika Kivimaki, B. (2015) · Journal of Occupational Health Psychology · doi:10.1037/a0038684 · Cited by 87
Puustinen, P. J., Koponen, H., Kautiainen, H., Mäntyselkä, P. T., & Vanhala, M. J. (2010) · Psychosomatic Medicine · doi:10.1097/psy.0b013e3182037315 · Cited by 65
Morse, T. F., Dussetschleger, J., Warren, N. D., & Cherniack, M. C. (2011) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e3182260e2c · Cited by 69
Working conditions and wellbeing in UK social workers
Ravalier, J. M., Wainwright, E. M., Clabburn, O., Loon, M. K. C., & Smyth, N. (2020) · Journal of Social Work · doi:10.1177/1468017320949361 · Cited by 65
Work Stress in NHS Employees: A Mixed-Methods Study
Ravalier, J. M., McVicar, A. J., & Boichat, C. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186464 · Cited by 64
Metabolic syndrome: links to social stress and socioeconomic status
Tamashiro, K. L. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06134.x · Cited by 64
Hasselberg, K., Jónsdóttir, I. H., Ellbin, S., & Skagert, K. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-66 · Cited by 75
Djindjić, N., Jovanović, J., Djindjić, B., Jovanovic, M. D., & Jovanović, J. (2012) · The Annals of Occupational Hygiene · doi:10.1093/annhyg/mes059 · Cited by 63
Ishizaki, M., Nakagawa, H., Morikawa, Y., Honda, R., Yamada, Y., Kawakami, N., & The Japan Work Stress and Health Cohort Study Group (2008) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.1267 · Cited by 63
Effort-Reward Imbalance at Work and Recurrent Coronary Heart Disease Events
Aboa-Éboulé, C., Brisson, C., Maunsell, E., Bourbonnais, R., Vézina, M., Milot, A., & Dagenais, G. R. (2011) · Psychosomatic Medicine · doi:10.1097/psy.0b013e318222b2d8 · Cited by 65
Rystedt, L. W., Cropley, M., Devereux, J. J., & Michalianou, G. (2008) · Journal of Occupational Health Psychology · doi:10.1037/1076-8998.13.2.105 · Cited by 62
Shi, L., Liu, Z. W., Li, Y., Gong, C., Zhang, H., Li, S., Huang, C. Y., & Li, M. (2012) · PubMed · doi:10.3967/0895-3988.2012.04.002 · Cited by 70
Nagarathna, R., Usharani, M., Rao, A. R. C., Chaku, R., Kulkarni, R., & Nagendra, H. R. (2012) · International Journal of Diabetes in Developing Countries · doi:10.1007/s13410-012-0078-y · Cited by 61
Bambra, C. L., Lunau, T., van der Wel, K. A., Eikemo, T. A., & Dragano, N. (2014) · International Journal of Health Services · doi:10.2190/hs.44.1.g · Cited by 61
Justice at work and metabolic syndrome: the Whitehall II study
Gimeno, D., Tabák, Á. G., Ferrie, J. E., Shipley, M. J., Vogli, R. D., Elovainio, M. J., Vahtera, J., Marmot, M. G., & Mika Kivimaki, B. (2009) · Occupational and Environmental Medicine · doi:10.1136/oem.2009.047324 · Cited by 60
Self-citationKeyes, K. M., McLaughlin, K. A., Demmer, R. T., Cerdá, M., Koenen, K. C., Uddin, M., & Galea, S. (2013) · Depression and Anxiety · doi:10.1002/da.22090 · Cited by 65
Shamaei‐Tousi, A., Steptoe, A., O’Donnell, K., Palmen, J., Stephens, J. W., Hurel, S. J., Marmot, M. G., Homer, K. A., D’Aiuto, F., Coates, A. R. M., et al. (2007) · Cell Stress and Chaperones · doi:10.1379/csc-300.1 · Cited by 60
Self-citationRibeiro, R. P., Marziale, M. H. P., Martins, J. T., Ribeiro, P. H. V., Robazzi, M. L. D. C. C., & Dalmas, J. C. (2015) · Revista Latino-Americana de Enfermagem · doi:10.1590/0104-1169.0383.2573 · Cited by 59
Cortisol: the villain in Metabolic Syndrome?
Paredes, S., & Ribeiro, L. V. P. T. (2014) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.60.01.017 · Cited by 61
Work stress and cardiovascular disease: a life course perspective
Jian, L., Loerbroks, A., Bosma, H., & Angerer, P. (2016) · Journal of Occupational Health · doi:10.1539/joh.15-0326-op · Cited by 65
Occupational stress and cardiovascular disease
Byrne, D. G., & Espnes, G. A. (2008) · Stress and Health · doi:10.1002/smi.1203 · Cited by 62
Lemyre, L., Chair, M. R., & Markon, M.-P. L. (2009) · Physiotherapy Theory and Practice · doi:10.1080/09593980902886321 · Cited by 59
Nordfjäll, K., Eliasson, M., Stegmayr, B. G., Lundin, S., Roos, G., & Nilsson, P. M. (2008) · Scandinavian Journal of Public Health · doi:10.1177/1403494808090634 · Cited by 58
Previous employment histories and quality of life in older ages: sequence analyses using SHARELIFE
Wahrendorf, M. (2014) · Ageing and Society · doi:10.1017/s0144686x14000713 · Cited by 60
Lucove, J. C., Kaufman, J. S., & James, S. A. (2006) · American Journal of Public Health · doi:10.2105/ajph.2006.087429 · Cited by 57
(2007) · Työväentutkimus Vuosikirja
Understanding Society: early findings from the first wave of the UK's household longitudinal study
McFall, S. L., & Garrington, C. (2011) · Open Access at Essex (University of Essex) · Cited by 55
Elovainio, M. J., Ferrie, J. E., Singh‐Manoux, A., Gimeno, D., Vogli, R. D., Shipley, M. J., Vahtera, J., Brunner, E. J., Marmot, M. G., & Mika Kivimaki, B. (2008) · Occupational and Environmental Medicine · doi:10.1136/oem.2008.039305 · Cited by 59
Self-citationStress and cardiovascular disease risk in female law enforcement officers
Yoo, H., & Franke, W. D. (2010) · International Archives of Occupational and Environmental Health · doi:10.1007/s00420-010-0548-9 · Cited by 56
Prinsloo, G. E., Derman, W. E., Lambert, M., & Rauch, L. (2013) · International Journal of Stress Management · doi:10.1037/a0034777 · Cited by 65
Yahaya, S. N., Wahab, S. F. A., Yusoff, M. S. B., Yasin, M. A. M., & Rahman, M. A. A. (2018) · World Journal of Emergency Medicine · doi:10.5847/wjem.j.1920-8642.2018.03.003 · Cited by 57
D’Alonzo, K. T., Johnson, S., & Fanfan, D. (2012) · Biological Research For Nursing · doi:10.1177/1099800412457017 · Cited by 57
Wolf, E. J., Sadeh, N., Leritz, E. C., Logue, M. W., Stoop, T. B., McGlinchey, R. E., Milberg, W., & Miller, M. W. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.023 · Cited by 55
Self-rated health and ethnicity: focus on indigenous populations
Bombak, A. E., & Bruce, S. G. (2012) · International Journal of Circumpolar Health · doi:10.3402/ijch.v71i0.18538 · Cited by 52
Gimeno, D., Elovainio, M. J., Jokela, M. M., Vogli, R. D., Marmot, M. G., & Mika Kivimaki, B. (2009) · Occupational and Environmental Medicine · doi:10.1136/oem.2008.045104 · Cited by 54
Self-citationHanson, L. L. M., Westerlund, H., Goldberg, M., Zins, M., Vahtera, J., Rod, N. H., Stenholm, S., Steptoe, A., & Mika Kivimaki, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-07508-x · Cited by 59
Cathepsin S Deficiency Mitigated Chronic Stress–Related Neointimal Hyperplasia in Mice
Wang, H., Meng, X., Piao, L., Inoue, A., Xu, W., Yu, C., Nakamura, K., Hu, L., Sasaki, T., Wu, H., et al. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.011994 · Cited by 53
Metabolic Syndrome: Treatment of Hypertensive Patients
Israili, Z. H., Lyoussi, B., Hernández-Hernández, R., & Velasco, M. (2007) · American Journal of Therapeutics · doi:10.1097/01.pap.0000249936.05650.0c · Cited by 53
Vajdi, M., Karimi, A., Farhangi, M. A., & Ardekani, A. M. (2023) · BMC Endocrine Disorders · doi:10.1186/s12902-023-01270-0 · Cited by 58
Unfairness and the social gradient of metabolic syndrome in the Whitehall II Study
Vogli, R. D., Brunner, E. J., & Marmot, M. G. (2007) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2007.04.006 · Cited by 52
Self-citationJones, M., Taylor, A., Liao, Y., Intille, S. S., & Dunton, G. F. (2017) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2017.03.013 · Cited by 52
Yook, Y.-S. (2019) · PLOS ONE · doi:10.1371/journal.pone.0226739 · Cited by 51
Jung, I., Kwon, H., Park, S. E., Han, K.-D., Park, Y. G., Kim, Y., Rhee, E., & Lee, W. (2020) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2020.0008 · Cited by 54
László, K. D., Ahnve, S., Hallqvist, J., Ahlbom, A., & Janszky, I. (2009) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2009.02196.x · Cited by 51
Chronic stress induces steatohepatitis while decreases visceral fat mass in mice
Liu, Y., Chen, J., Zhang, Y., Wang, X., Qu, S., & Jiang, C. (2014) · BMC Gastroenterology · doi:10.1186/1471-230x-14-106 · Cited by 51
Prescott, E., Godtfredsen, N. S., Osler, M., Schnohr, P., & Barefoot, J. C. (2007) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e32800ff169 · Cited by 52
Work stress and metabolic syndrome in radiologists: first evidence
Magnavita, N., & Fileni, A. (2013) · La radiologia medica · doi:10.1007/s11547-013-0329-0 · Cited by 51
Education, psychosocial resources, and metabolic syndrome variables in Latinas
Gallo, L. C., Monteros, K. E. D. L., Ferent, V., Urbina, J., & Talavera, G. (2007) · Annals of Behavioral Medicine · doi:10.1007/bf02879917 · Cited by 47
Mohebbi, I., Saadat, S., Aghasi, M. R., Shekari, M., Matinkhah, M., & Sehat, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031790 · Cited by 51
García‐Díaz, D. F., Campión, J., Milagro, F. I., Lomba, A., Marzo, F., & Martínez, J. A. (2007) · Journal of Physiology and Biochemistry · doi:10.1007/bf03165765 · Cited by 49
Sleep Habits, Mental Health, and the Metabolic Syndrome in Law Enforcement Officers
Yoo, H., & Franke, W. D. (2012) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e31826e294c · Cited by 54
Psychological Status and Quality of Life in relation to the Metabolic Syndrome: Isfahan Cohort Study
Roohafza, H., Sadeghi, M., Talaei, M., Pourmoghaddas, Z., & Sarrafzadegan, N. (2012) · International Journal of Endocrinology · doi:10.1155/2012/380902 · Cited by 50
Association of Job Insecurity with Health Risk Factors and Poorer Health in American Workers
Khubchandani, J., & Price, J. H. (2016) · Journal of Community Health · doi:10.1007/s10900-016-0249-8 · Cited by 55
LightSit: An Unobtrusive Health-Promoting System for Relaxation and Fitness Microbreaks at Work
Ren, X., Yu, B., Lü, Y., Zhang, B., Hu, J., & Brombacher, A. (2019) · Sensors · doi:10.3390/s19092162 · Cited by 52
Poverty, Environment, and Health
O’Neill, M. S., McMichael, A. J., Schwartz, J. D., & Wartenberg, D. E. (2007) · Epidemiology · doi:10.1097/ede.0b013e3181570ab9 · Cited by 49
Petrowski, K., Kliem, S., Albani, C., Hinz, A., & Brähler, E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222277 · Cited by 55
Sumner, R. C., & Kinsella, E. L. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.645504 · Cited by 49
Job insecurity during recessions: effects on survivors’ work stress
Modrek, S., & Cullen, M. R. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-929 · Cited by 49
Perceived Stress at Work Is Associated with Lower Levels of DHEA-S
Lennartsson, A.-K., Theorell, T., Rockwood, A. L., Kushnir, M. M., & Jónsdóttir, I. H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072460 · Cited by 49
Trudel, X., Brisson, C., Milot, A., Mâsse, B. R., & Vézina, M. (2015) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2014-204914 · Cited by 53
Frisman, G. H., & Kristenson, M. (2009) · European Journal of Cardiovascular Nursing · doi:10.1016/j.ejcnurse.2009.01.004 · Cited by 49
Psychological Stress: A Predisposing and Exacerbating Factor in Periodontitis
Spector, A. M., Postolache, T. T., Akram, F., Scott, A. J., Wadhawan, A., & Reynolds, M. A. (2020) · Current Oral Health Reports · doi:10.1007/s40496-020-00282-2 · Cited by 47
Monitoring the impact of stress on the sleep patterns of pilgrims using wearable sensors
Muaremi, A., Bexheti, A., Gravenhorst, F., Arnrich, B., & Troster, G. (2014) · IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) · doi:10.1109/bhi.2014.6864335 · Cited by 60
McCurley, J. L., Mills, P. J., Roesch, S. C., Carnethon, M. R., Giacinto, R. E., Isasi, C. R., Teng, Y., Sotres‐Alvarez, D., Llabre, M. M., Penedo, F. J., et al. (2015) · Psychophysiology · doi:10.1111/psyp.12430 · Cited by 53
Prior, A., Vestergaard, M., Larsen, K. K., & Fenger‐Grøn, M. (2018) · BMJ Open · doi:10.1136/bmjopen-2017-018323 · Cited by 49
Jeong, J., Kim, B., & Lee, J. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1343932 · Cited by 63
Yoo, H. L., Eisenmann, J. C., & Franke, W. D. (2009) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e31817f9e43 · Cited by 48
The Relationship between Childhood Parental Loss and Metabolic Syndrome in Obese Subjects
Alciati, A., Gesuele, F., Casazza, G., & Foschi, D. (2011) · Stress and Health · doi:10.1002/smi.1435 · Cited by 49
Lemche, E., Чабан, О., & Lemche, A. V. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00142 · Cited by 50
Duxbury, L. E., & Halinski, M. J. (2017) · Policing & Society · doi:10.1080/10439463.2017.1342644 · Cited by 48
Moody, D. L. B., Chang, Y.-F., Brown, C., Bromberger, J. T., & Matthews, K. A. (2017) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000516 · Cited by 47
Inflammatory Signaling in Hypertension: Regulation of Adrenal Catecholamine Biosynthesis
Byrne, C. J., Khurana, S., Kumar, A., & Tai, T. C. (2018) · Frontiers in Endocrinology · doi:10.3389/fendo.2018.00343 · Cited by 52
Burnout and Metabolic Syndrome in Female Nurses: An Observational Study
Chico‐Barba, G., Jiménez-Limas, K., Sánchez-Jiménez, B., Sámano, R., Rodríguez-Ventura, A. L., Castillo-Pérez, R., & Tolentino, M. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16111993 · Cited by 52
Global social work working conditions and wellbeing
Ravalier, J. M., Jones, D. N., Truell, R., & McFadden, P. (2022) · International Social Work · doi:10.1177/00208728221112731 · Cited by 46
Work, Diabetes and Obesity: A Seven Year Follow-Up Study among Danish Health Care Workers
Poulsen, K., Cleal, B. R., Clausen, T., & Andersen, L. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0103425 · Cited by 46
Mohebbi, I., Shateri, K., & Seyedmohammadzad, M. (2012) · International Journal of Occupational Medicine and Environmental Health · doi:10.2478/s13382-012-0051-5 · Cited by 50
Brunner, E. J. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050267 · Cited by 45
Self-citationMoy, F., Hoe, V., Hairi, N., Buckley, B., Wark, P., Koh, D., Bueno‐de‐Mesquita, H., & Bulgiba, A. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-611 · Cited by 42
Social factors and cardiovascular morbidity
Brunner, E. J. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.05.004 · Cited by 45
Self-citationDifferences in Metabolic Syndrome Prevalence by Employment Type and Sex
Cho, D. Y., & Koo, J. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15091798 · Cited by 45
Kallschmidt, A. M., & Eaton, A. A. (2018) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2018.08.010 · Cited by 47
Fava, G. A., Sonino, N., & Wise, T. N. (2011) · Advances in psychosomatic medicine · doi:10.1159/isbn.978-3-8055-9854-5 · Cited by 45
Deriving an Evidence-based Measure of Job Quality from the HILDA Survey
Leach, L., & Butterworth, P. (2010) · ANU Open Research (Australian National University) · Cited by 43
DeSantis, A. S., Roux, A. V. D., Hajat, A., Golden, S. H., Jenny, N. S., Sánchez, B. N., Shea, S., & Seeman, T. E. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-0483 · Cited by 44
Rydstedt, L. W., Cropley, M., Devereux, J. J., & Michalianou, G. (2009) · Anxiety Stress & Coping · doi:10.1080/10615800802596378 · Cited by 44
Dysregulated haemostasis in thrombo-inflammatory disease
Klavina, P. A., León, G., Curtis, A. M., & Preston, R. J. S. (2022) · Clinical Science · doi:10.1042/cs20220208 · Cited by 49
Grossi, G., & Santell, B. (2009) · Journal of Rehabilitation Medicine · doi:10.2340/16501977-0379 · Cited by 43
Westerlund, H., Gustafsson, P. E., Theorell, T., Janlert, U., & Hammarström, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035967 · Cited by 43
Petherick, E., Cullum, N. A., & Pickett, K. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058948 · Cited by 43
Metadata
- Authors
- Chandola, T., Brunner, E., & Marmot, M.
- Affiliations
- University College London (GB)
- Corresponding author
- Chandola, Tarani
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2006-01-20
- Volume
- 332
- Issue
- 7540
- Pages
- 521-525
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1388129
- OpenAlex
- W2140275529
- Cited by
- 1,075
- References
- 26
- Citations by year
- 2026: 32 · 2025: 26 · 2024: 33 · 2023: 36 · 2022: 54 · 2021: 38 · 2020: 63 · 2019: 63 · 2018: 68 · 2017: 59 · 2016: 63 · 2015: 55 · 2014: 78 · 2013: 69 · 2012: 53
- FWCI
- 110.80
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion)
- Funders
- John D. and Catherine T. MacArthur Foundation (HS06516)
- British Heart Foundation (HS06516)
- Health and Safety Executive
- National Institutes of Health
- Agency for Healthcare Research and Quality (HS06516)
- Medical Research Council (HS06516)
- Economic and Social Research Council
- National Institute on Aging (AG 13196)
- National Heart, Lung, and Blood Institute (HL36310, R01HL036310)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Health and Mental Health
- Life Sciences › Neuroscience › Behavioral Neuroscience › Stress Responses and Cortisol
- Keywords
- chronic occupational stress, metabolic syndrome, psychosocial stressors, dose-response relationship, cardiovascular risk factors, heart disease, civil service employees, Whitehall II study
- MeSH terms
- Adult, Chronic Disease, Female, Follow-Up Studies, Heart Diseases, Humans, Male, Middle Aged, Occupational Diseases, Prospective Studies, Stress, Psychological, Cohort Studies, Metabolic Syndrome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review