| Abstract: | The voluminous literature on the variability encountered in 24-h recordings of human blood pressure in health is here presented by reference to selected clinical articles. Most references are cited by number for the sake of brevity, with a few cited by author when this appears to be of particular interest. Reports of work on laboratory animals are included when the findings are directly pertinent as background to studies on human beings. Results from semiautomatic and automatic direct and indirect measurements are briefly reviewed and aligned with results from work in which blood pressure was self-measured or measured conventionally by staff. The considerable and not generally recognized range of human blood pressure variability is thus extracted from the literature. An apparently limited extent of variation is shown to result mostly from the averaging of data from individuals constituting the groups investigated. Once variation is overwhelmingly documented and recognized as a fact, the different ways in which variations are presented and utilized by different author-investigators gain in importance. In a number of studies, methods of time series analysis are used. Thus, major attention can be paid to the extent to which predictable changes, so-called rhythms, characterize the data. Circadian rhythms are found to be quite prominent. By the assessment of these rhythms and about-yearly (circannual) ones, one quantifies health and individualized risk as well as disease. Otherwise 'unmanageable' variability, reviewed herein, can be resolved by relatively simple inferential statistical procedures as a set of new endpoints. A formidable foe thus becomes a powerful friend: the rhythm characteristics can be used in cardiovascular physiology and epidemiology, and preventive and curative medicine. Long-term blood pressure monitoring is no longer a mere research tool and a curiosity for the practitioner of medicine. Results from such monitoring should immediately be used in the clinic, in the school and at home. Automatic blood pressure monitoring, cost-effectively used in combination with self-measurement, as needed, may become a routine procedure if data collection can be wedded to appropriate analyses yielding new endpoints as sensitive gauges of health. |
