Sex differences in ambulatory blood pressure monitoring. 2008

Iddo Z Ben-Dov, and Judith Mekler, and Michael Bursztyn
Nephrology and Hypertension Services, Hadassah - Hebrew University Medical Center, Jerusalem, Israel. iddobe@ekmd.huji.ac.il

OBJECTIVE Referral to ambulatory blood pressure monitoring may have bearing upon blood pressure control and prognosis. We describe sex-related differences in referral for ambulatory monitoring and their prognostic impact. METHODS Between 1991 and 2005, 3957 patients were monitored in our ambulatory monitoring service, of whom 2114 (53%) were women. Demographic and clinical data were analyzed according to sex. RESULTS Age (58+/-15 vs 52+/-17 years, respectively) and body mass index (27.5+/-4.9 vs 26.9+/-4.0 kg/m(2), respectively) were higher in women than men. Treatment for hypertension was more prevalent in women (62% vs 53%, respectively). Clinic systolic blood pressure (148+/-24 vs 146+/-20 mm Hg, respectively) and clinic pulse pressure (65+/-22 vs 59+/-18 mm Hg, respectively) were higher in women compared with men. In women, the white-coat effect was increased, compared with men; 5.2+/-12.4% vs 1.5+/-10.7% systolic, and 5.4+/-11.2% vs 3.6+/-10.3% diastolic. Consequently, women had lower ambulatory blood pressure than men. In women, 24-hour blood pressure was 136+/-17/76+/-10 vs 140+/-15/81+/-10 mm Hg in men, awake blood pressure 141+/-17/80+/-11 vs 144+/-15/84+/-10 mm Hg, and sleep blood pressure was 125+/-19/67+/-10 vs 127+/-18/71+/-11 mm Hg. Age-adjusted ambulatory blood pressure also was lower in women. Ambulatory heart rate was higher in women (P <.0001). Kaplan-Meier survival did not differ by sex (P=.66), despite older age and higher clinic blood pressure. CONCLUSIONS The results might imply that referral was driven by the physicians' overall patient risk perception. The greater magnitude of white-coat effect in women, and correspondingly lower ambulatory blood pressure, might in part account for similar mortality in the face of older age and higher clinic blood pressure.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012017 Referral and Consultation The practice of sending a patient to another program or practitioner for services or advice which the referring source is not prepared to provide. Consultation,Gatekeepers, Health Service,Hospital Referral,Second Opinion,Consultation and Referral,Health Service Gatekeepers,Hospital Referrals,Referral,Referral, Hospital,Referrals, Hospital,Consultations,Gatekeeper, Health Service,Health Service Gatekeeper,Opinion, Second,Opinions, Second,Referrals,Second Opinions
D005260 Female Females
D006339 Heart Rate The number of times the HEART VENTRICLES contract per unit of time, usually per minute. Cardiac Rate,Chronotropism, Cardiac,Heart Rate Control,Heartbeat,Pulse Rate,Cardiac Chronotropy,Cardiac Chronotropism,Cardiac Rates,Chronotropy, Cardiac,Control, Heart Rate,Heart Rates,Heartbeats,Pulse Rates,Rate Control, Heart,Rate, Cardiac,Rate, Heart,Rate, Pulse
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D001294 Attitude to Health Public attitudes toward health, disease, and the medical care system. Health Attitude,Attitude, Health,Attitudes, Health,Health Attitudes,Health, Attitude to
D016016 Proportional Hazards Models Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time. Cox Model,Cox Proportional Hazards Model,Hazard Model,Hazards Model,Hazards Models,Models, Proportional Hazards,Proportional Hazard Model,Proportional Hazards Model,Cox Models,Cox Proportional Hazards Models,Hazard Models,Proportional Hazard Models,Hazard Model, Proportional,Hazard Models, Proportional,Hazards Model, Proportional,Hazards Models, Proportional,Model, Cox,Model, Hazard,Model, Hazards,Model, Proportional Hazard,Model, Proportional Hazards,Models, Cox,Models, Hazard,Models, Hazards,Models, Proportional Hazard

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