Literature DB >> 21178767

Explaining gender differences in the white coat effect.

Katherine L Streitel1, Jennifer E Graham, Thomas G Pickering, William Gerin.   

Abstract

OBJECTIVES: To discern whether gender was a unique predictor of the white coat effect (WCE) in a population of normotensives and patients diagnosed with hypertension.
METHODS: Participants (n=252) underwent a doctor's office visit to have their blood pressure measured. Multiple blood pressure readings were taken by both a research assistant and by the attending physician. In addition, measures of anxiety variables were collected during the visit. Participants then underwent a 36-h ambulatory blood pressure monitoring.
RESULTS: Gender was a significant predictor of the systolic WCE, but, as expected, the effect size was small and was no longer significant when age and BMI were included in the regression model. State anxiety emerged as a significant independent predictor of systolic WCE; however, when household income was included in the model it became the only significant independent predictor (β=0.203, P<0.05), in addition to gender, age, and BMI.
CONCLUSION: This study suggests that the association between gender and the systolic WCE is small, and likely accounted for by other variables including age, BMI, state anxiety, and household income. Thus, gender may be of limited use in helping identify patients who may be more likely to have WCE or white coat hypertension. Gender differences in this area should be interpreted with great caution.

Entities:  

Mesh:

Year:  2011        PMID: 21178767     DOI: 10.1097/MBP.0b013e32833f56c2

Source DB:  PubMed          Journal:  Blood Press Monit        ISSN: 1359-5237            Impact factor:   1.444


  8 in total

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

Authors:  O Thomas; K E Shipman; K Day; M Thomas; U Martin; I Dasgupta
Journal:  J Hum Hypertens       Date:  2015-09-17       Impact factor: 3.012

Review 2.  Gender Differences in Hypertension.

Authors:  Juan-Juan Song; Zheng Ma; Juan Wang; Lin-Xi Chen; Jiu-Chang Zhong
Journal:  J Cardiovasc Transl Res       Date:  2019-05-01       Impact factor: 4.132

Review 3.  Diagnosis and management of patients with white-coat and masked hypertension.

Authors:  Giuseppe Mancia; Michele Bombelli; Gino Seravalle; Guido Grassi
Journal:  Nat Rev Cardiol       Date:  2011-08-09       Impact factor: 32.419

4.  White coat hypertension is more risky than prehypertension: important role of arterial wave reflections.

Authors:  Shih-Hsien Sung; Hao-Min Cheng; Kang-Ling Wang; Wen-Chung Yu; Shao-Yuan Chuang; Chih-Tai Ting; Edward G Lakatta; Frank C P Yin; Pesus Chou; Chen-Huan Chen
Journal:  Hypertension       Date:  2013-04-22       Impact factor: 10.190

5.  Twenty-four-hour ambulatory blood pressure monitoring in very elderly patients: Comparison of in-hospital versus home follow-up results.

Authors:  Claudia Cappelleri; Alin Janoschka; Reto Berli; Sibylle Kohler; Ruediger C Braun-Dullaeus; Ludwig T Heuss; Mathias Wolfrum
Journal:  Medicine (Baltimore)       Date:  2017-08       Impact factor: 1.889

6.  Evaluation of the applicability of deep breathing test in the diagnosis of hypertension with white-coat effect in Chinese patients in primary care.

Authors:  Kam Sum Chan; Kit Ping Loretta Lai; Pang Fai Chan; Man Hei Matthew Luk; Vai Kiong David Chao
Journal:  Clin Hypertens       Date:  2019-02-01

7.  Reproducibility of ambulatory blood pressure changes from the initial values on two different days.

Authors:  Garrett I Ash; Timothy J Walker; Kayla M Olson; Jeffrey H Stratton; Ana L Gómez; William J Kraemer; Jeff S Volek; Linda S Pescatello
Journal:  Clinics (Sao Paulo)       Date:  2013-12       Impact factor: 2.365

8.  Impact of Sex on Office White Coat Effect Tail: Investigating Two Italian Residential Cohorts.

Authors:  Xavier Humbert; Sophie Fedrizzi; Joachim Alexandre; Alessandro Menotti; Alain Manrique; Martino Laurenzi; Emmanuel Touzé; Paolo E Puddu
Journal:  Sci Rep       Date:  2019-11-21       Impact factor: 4.379

  8 in total

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