Assessment of Behavioral Risk for Coronary Disease by Voice Characteristics

Abstract
Two naive persons were trained to code speech behaviors from tape recorded behavior pattern interviews on which Type A behavior, a behavior pattern associated with coronary disease, previously assessed. Intercoder and intracoder reliability was acceptable. Using regression analysis 87% of the interviews were classified in agreement with the previous, standard assessment. Volume of voice and speed of speech apparently made the greatest predictive contribution. Other verbal characteristics including plosiveness were important. Type A behavior can apparently be validly and repeatably measured by verbal behaviors in the standardized interview.

This publication has 2 references indexed in Scilit: