Journal Article

The use of Holter monitoring in epidemiological studies

Abstract

Aim: To work out a set of biological parameters, including Holter data (HM) for prediction of individual health among the elderly. The sample of 201 individuals (aged 67-87) was randomly selected from the Moscow Lipid Research Clinics cohort. Protocol included a questionnaire, physical performance tests, and medical examination. Relationships between the health outcomes and biomarkers were estimated. Significant associations were found: Self-Rated Health - with smoking status, BMI, grip strength, cortisol, presence of arrhythmia (HM), ST depression (HM), SDANN < 110 ms, low difference between the day and night rate averages. Physical Ability Score - with smoking status, grip strength, low difference between the day and night heart rate averages, ST depression (HM), SDNN < 135 ms; Disease score - with HDL, pain of possible myocardial infarction (Rose questionnaire), circadian presence of arrhythmia and low awake increase in heart rate (HM); Mortality Score - with smoking status, grip strength, MEAN > 1000 ms, episodes of supraventricular tachycardia (HM). Heart rate parameters measured by HM are associated more closely with majority of health outcomes compared to other biomarkers and scores.