Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Original Article
  • Published:

Prevalence and determinants of white coat effect in a large UK hypertension clinic population

Abstract

White coat hypertension (WCH) is common and termed white coat effect (WCE) in those on treatment for hypertension. The UK guideline suggests that all patients in stage 1 and 2 hypertension, but not stage 3 hypertension, should have ambulatory blood pressure monitoring (ABPM) performed before commencing treatment. The relationship between office blood pressure (BP) and ABPM and the factors that influence the WCE were examined in a large British cohort (n=2056) from 2 hypertension clinics (1998–2011). Data were collected prospectively: the median age was 56 years: 53% were female, 76% Caucasian, 9% African Caribbean, 15% South Asian and 86% taking antihypertensives. Fifty-one percent had WCE and differences between clinic BP and ABPM measurements increased with the stage of hypertension varying from 2/4 (normotensive), 13/10 (stage 1 hypertension), 24/14 (stage 2) and 40/20 mm Hg (stage 3). The degree of difference is greater in this study than described in other populations. A positive correlation was found between clinic systolic and diastolic BP and the WCE (r=0.74 and r=0.56, respectively, P<0.0001). Significant (P<0.05) independent associations of systolic WCE were clinic systolic BP (β=0.707), Caucasian ethnicity (South Asian β=−0.06; African Caribbean β=−0.043), female gender (male β=−0.047), nonsmoking status (smoker β=−0.100) and reduced renal function (estimated glomerular filtration rate β=−0.036). Significant independent associations of diastolic WCH were clinic diastolic BP (β=0.624), age (β=0.207), female gender (male β=−0.104), Caucasian ethnicity (South Asian β=−0.052, African Caribbean β=−0.079) and being a nonsmoker (β=−0.082) or ex-smoker (β=0.046). The results support current UK guidelines but suggest those with stage 3 hypertension would also benefit from ABPM.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1

Similar content being viewed by others

References

  1. Ayman D, Goldshine AD . Blood pressure determination by patients with essential hypertension I. The difference between clinic and home readings before treatment. Am J Med Sci 1940; 200: 465–474.

    Article  Google Scholar 

  2. Pickering TG, Shimbo D, Haas D . Ambulatory blood-pressure monitoring. N Engl J Med 2006; 354: 2368–2374.

    Article  CAS  Google Scholar 

  3. Fagard RH, Staessen JA, Thijs L, Gasowski J, Bulpitt CJ, Clement D et al. Response to antihypertensive therapy in older patients with sustained and nonsustained systolic hypertension. Systolic Hypertension in Europe (Syst-Eur) Trial Investigators. Circulation 2000; 102: 1139–1144.

    Article  CAS  Google Scholar 

  4. Franklin SS, Thijs L, Hansen TW, Li Y, Boggia J, Kikuya M et alInternational Database on Ambulatory Blood Pressure in Relation to Cardiovascular Outcomes Investigators. Significance of white-coat hypertension in older persons with isolated systolic hypertension: a meta-analysis using the International Database on Ambulatory Blood Pressure Monitoring in Relation to Cardiovascular Outcomes population. Hypertension 2012; 59: 564–571.

    Article  CAS  Google Scholar 

  5. Verdecchia P, Angeli F, Gattobigio R, Borgioni C, Castellani C, Sardone M et al. The clinical significance of white-coat and masked hypertension. Blood Press Monit 2007; 12: 387–389.

    Article  Google Scholar 

  6. National Institute for Health and Clinical Excellence Hypertension: Clinical Management of Primary Hypertension in Adults. NICE Clinical Guideline 127. National Institute for Health and Clinical Excellence: London, 2011.

  7. Fukuhara M, Arima H, Ninomiya T, Hata J, Hirakawa Y, Doi Y et al. White-coat and masked hypertension are associated with carotid atherosclerosis in a general population: the Hisayama study. Stroke 2013; 44: 1512–1517.

    Article  CAS  Google Scholar 

  8. O'Brien E, Beevers G, Lip GY . ABC of hypertension. Blood pressure measurement. Part III-automated sphygmomanometry: ambulatory blood pressure measurement. BMJ 2001; 322: 1110–1114.

    Article  CAS  Google Scholar 

  9. Head GA, Mihailidou AS, Duggan KA, Beilin LJ, Berry N, Brown MA et alAmbulatory Blood Pressure Working Group of the High Blood Pressure Research Council of Australia. Definition of ambulatory blood pressure targets for diagnosis and treatment of hypertension in relation to clinic blood pressure: prospective cohort study. BMJ 2010; 340: c1104.

    Article  Google Scholar 

  10. Pierdomenico SD, Lapenna D, Bucci A, Di Tommaso R, Di Mascio R, Manente BM et al. Cardiovascular outcome in treated hypertensive patients with responder, masked, false resistant, and true resistant hypertension. Am J Hypertens 2005; 18: 1422–1428.

    Article  Google Scholar 

  11. Frattola A, Parati G, Cuspidi C, Albini F, Mancia G . Prognostic value of 24-hour blood pressure variability. J Hypertens 1993; 11: 1133–1137.

    Article  CAS  Google Scholar 

  12. Ohkubo T, Hozawa A, Yamaguchi J, Kikuya M, Ohmori K, Michimata M et al. Prognostic significance of the nocturnal decline in blood pressure in individuals with and without high 24-h blood pressure: the Ohasama study. J Hypertens 2002; 20: 2183–2189.

    Article  CAS  Google Scholar 

  13. Kario K, Pickering TG, Umeda Y, Hoshide S, Hoshide Y, Morinari M et al. Morning surge in blood pressure as a predictor of silent and clinical cerebrovascular disease in elderly hypertensives: a prospective study. Circulation 2003; 107: 1401–1406.

    Article  Google Scholar 

  14. Mancia G, Omboni S, Parati G, Ravogli A, Villani A, Zanchetti A . Lack of placebo effect on ambulatory blood pressure. Am J Hypertens 1995; 8: 311–315.

    Article  CAS  Google Scholar 

  15. Williams B, Poulter NR, Brown MJ, Davis M, McInnes GT, Potter JP et alBritish Hypertension Society. Guidelines for management of hypertension: report of the fourth working party of the British Hypertension Society, 2004-BHS IV. J Hum Hypertens 2004; 18: 139–185.

    Article  CAS  Google Scholar 

  16. Mancia G, Sega R, Bravi C, De Vito G, Valagussa F, Cesana G et al. Ambulatory blood pressure normality: results from the PAMELA study. J Hypertens 1995; 13 (12 Pt 1): 1377–1390.

    CAS  Google Scholar 

  17. Lindbaek M, Sandvik E, Liodden K, Mjell J, Ravnsborg-Gjertsen K . Predictors for the white coat effect in general practice patients with suspected and treated hypertension. Br J Gen Pract 2003; 53: 790–793.

    PubMed  PubMed Central  Google Scholar 

  18. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D . A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130: 461–470.

    Article  CAS  Google Scholar 

  19. Kidney Disease Outcomes Quality Initiative (K/DOQI) Group. National Kidney Foundation (NKF). Part 4. Definition and classification of stages of chronic kidney disease. Am J Kidney Dis 2002; 39 (Suppl 1): S46–S75.

    Google Scholar 

  20. Schettini C, Bianchi M, Nieto F, Sandoya E, Senra H . Ambulatory blood pressure: normality and comparison with other measurements. Hypertension 1999; 34: 818–825.

    Article  CAS  Google Scholar 

  21. Hermida RC, Calvo C, Ayala DE, Fernández JR, Ruilope LM, López JE . Evaluation of the extent and duration of the ‘ABPM effect’ in hypertensive patients. J Am Coll Cardiol 2002; 40: 710–717.

    Article  Google Scholar 

  22. Polónia JJ, Gama GM, Silva JA, Amaral C, Martins LR, Bertoquini SE . Sequential follow-up clinic and ambulatory blood pressure evaluation in a low risk population of white-coat hypertensive patients and in normotensives. Blood Press Monit 2005; 10: 57–64.

    Article  Google Scholar 

  23. MacDonald MB, Laing GP, Wilson MP, Wilson TW . White coat hypertension in treated hypertensives: a three year follow-up study. Can J Cardiovasc Nurs 2003; 13: 24–29.

    PubMed  Google Scholar 

  24. Streitel KL, Graham JE, Pickering TG, Gerin W . Explaining gender differences in the white coat effect. Blood Press Monit 2011; 16: 1–6.

    Article  Google Scholar 

  25. Sabater-Hernández D, Sánchez-Villegas P, García-Corpas JP, Amariles P, Sendra-Lillo J, Faus MJ . Predictors of the community pharmacy white-coat effect in treated hypertensive patients. The MEPAFAR study. Int J Clin Pharm 2011; 33: 582–589.

    Article  Google Scholar 

  26. Gualdiero P, Niebauer J, Addison C, Clark SJ, Coats AJ . Clinical features, anthropometric characteristics, and racial influences on the 'white-coat effect' in a single-centre cohort of 1553 consecutive subjects undergoing routine ambulatory blood pressure monitoring. Blood Press Monit 2000; 5: 53–57.

    CAS  PubMed  Google Scholar 

  27. Martin U, Haque MS, Wood S, Greenfield SM, Gill PS, Mant J et al. Ethnicity and differences between clinic and ambulatory blood pressure measurements. Am J Hypertens 2014; 28: 729–738.

    Article  Google Scholar 

  28. Minor DS, Wofford MR, Jones DW . Racial and ethnic differences in hypertension. Curr Atheroscler Rep 2008; 10: 121–127.

    Article  Google Scholar 

  29. Grassi G, Turri C, Vailati S, Dell'Oro R, Mancia G . Muscle and skin sympathetic nerve traffic during the ‘white-coat’ effect. Circulation 1999; 100: 222–225.

    Article  CAS  Google Scholar 

  30. Manios ED, Koroboki EA, Tsivgoulis GK, Spengos KM, Spiliopoulou IK, Brodie FG et al. Factors influencing white-coat effect. Am J Hypertens 2008; 21: 153–158.

    Article  Google Scholar 

  31. Kozlowski LT, Herman CP . The interaction of psychosocial and biological determinants of tobacco use: more on the boundary model. J Applied Soc Psych 1984; 14: 244–256.

    Article  Google Scholar 

  32. Conen D, Aeschbacher S, Thijs L, Li Y, Boggia J, Asayama K et al. Age specific differences between conventional and ambulatory daytime blood pressure values. Hypertension 2014; 64: 1073–1079.

    Article  CAS  Google Scholar 

  33. Banegas JR, Ruilope LM, de la Sierra A, de la Cruz JJ, Gorostidi M, Segura J et al. High prevalence of masked uncontrolled hypertension in people with treated hypertension. Eur Heart J 2014; 35: 3304–3312.

    Article  CAS  Google Scholar 

  34. Mancia G, Zanchetti A, Agabiti-Rosei E, Benemio G, De Cesaris R, Fogari R et al. Ambulatory blood pressure is superior to clinic blood pressure in predicting treatment-induced regression of left ventricular hypertrophy. SAMPLE Study Group. Study on Ambulatory Monitoring of Blood Pressure and Lisinopril Evaluation. Circulation 1997; 95: 1464–1470.

    Article  CAS  Google Scholar 

  35. Mancia G, Omboni S, Ravogli A, Parati G, Zanchetti A . Ambulatory blood pressure monitoring in the evaluation of antihypertensive treatment: additional information from a large data base. Blood Press 1995; 4: 148–156.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank Mr Roger Holder, Head of Statistics (retired), School Health and Population Science, University of Birmingham, for his help and advice with statistical analysis; Dr Peter Nightingale, Statistician, University Hospital of Birmingham, for statistical advice on the manuscript; and Mr Lee Hollingworth, IT manager, Renal Department of Birmingham Heartlands Hospital, for his help with the hypertension database.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I Dasgupta.

Ethics declarations

Competing interests

The authors declare no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Thomas, O., Shipman, K., Day, K. et al. Prevalence and determinants of white coat effect in a large UK hypertension clinic population. J Hum Hypertens 30, 386–391 (2016). https://doi.org/10.1038/jhh.2015.95

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/jhh.2015.95

This article is cited by

Search

Quick links