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Explaining gender differences in the white coat effect.

Katherine L Streitel1, Jennifer E Graham, Thomas G Pickering

  • 1Department of Biobehavioral Health, The Pennsylvania State University, University Park, PA 16802-6509, USA.

Blood Pressure Monitoring
|December 24, 2010
PubMed
Summary
This summary is machine-generated.

Gender is a weak predictor of the white coat effect (WCE), a phenomenon where blood pressure is higher in medical settings. Other factors like age, BMI, anxiety, and income are more influential in predicting WCE.

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Area of Science:

  • Cardiology
  • Hypertension Research
  • Behavioral Medicine

Background:

  • The white coat effect (WCE) is characterized by elevated blood pressure readings in a clinical setting compared to ambulatory monitoring.
  • Understanding predictors of WCE is crucial for accurate hypertension diagnosis and management.

Purpose of the Study:

  • To investigate gender as a unique predictor of the white coat effect (WCE).
  • To identify other potential contributing factors to WCE in individuals with and without hypertension.

Main Methods:

  • 252 participants, including normotensive individuals and hypertensive patients, had blood pressure measured during a doctor's visit and via 36-hour ambulatory monitoring.
  • Anxiety variables and demographic data (age, BMI, household income) were collected.
  • Regression analyses were used to assess the predictive value of different variables on systolic WCE.

Main Results:

  • Gender was a significant, but small, predictor of systolic WCE, with its significance diminishing when age and BMI were included.
  • State anxiety independently predicted systolic WCE, but household income emerged as the sole significant independent predictor when included in the model.
  • Age, BMI, state anxiety, and household income were identified as significant factors associated with systolic WCE.

Conclusions:

  • The association between gender and systolic WCE is minimal and likely explained by other variables such as age, BMI, state anxiety, and household income.
  • Gender may have limited utility in identifying individuals prone to WCE or white coat hypertension.
  • Gender differences in WCE should be interpreted cautiously due to the influence of confounding factors.