Coronary behavior in three regions of Finland.
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Biomedical subjects
Publications and source records attributed to L Hervig.
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Ninety-three pairs of monozygotic and 97 pairs of dizygotic middle-aged, American, male twins were studied to estimate the heritability of Type A behavior--a coronary heart disease-prone behavior pattern. Participants were given the interview assessment of Type A behavior. In addition, they completed four psychological test batteries: the Thurstone Temperament Schedule, the Jenkins Activity Survey, the California Psychological Inventory, and the Gough Adjective Check List. Type A behavior measured by interview was found to be nonheritable. Psychological test scales which significantly correlated with Type A behavior, however, generally had significant heritability estimates. Only the Adjective Check List scales, which significantly correlated with Type A, showed nonsignificant heritability estimates. Selected items from these Adjective Check List scales may provide a method for assessment of Type A behavior possibly free from genetic influence.
A prospective study of accident/error rates was carried out on thirty-one nursing students. Recent life changes and stresses, social support available to cope with this stress, depression, illness rate, and coping skills were measured at baseline. Five weeks later students recorded accidents suffered and errors made over a week long period. The number of life changes in the previous two years made over a week long period. The number of life changes in the previous two years and the amount of adjustment required to cope with these changes, together with the social support available to help cope with these events were the most powerful predictors of accident/error rate. Together they accounted for 70 per cent of the variance. Multiple regression equations for the outcome variables were calculated to study the best linear predictor combination. Depression and coping skills had poor predictor power. The implications of the findings for health care personnel are discussed. Steps to lower the accident/error rate in those at risk are outlined.
A prospective study over three months explored whether measures of response "qualities" of life change events (e.g., whether the event was positive or negative in its subjective impact) enhance the ability of a simple counting of recent life change events to predict near future illness rates. Thirty-four nursing students were studied. Results confirm previous reports that future illness rates increase positively and significantly in direct relationship to the accumulation of recent past life change events. A simple count of the number of untimely or unexpected life stresses (31% of total life changes) or a simple count of the number of negative life events (53.8%) were as potent predictors as the total count of recent life changes. The total number of times each event occurred did not add to the predictive power of a count of the number of events experienced. Anticipated life events were poor predictors of future illness rates. The subjective life change unit scaling system (SLCU) did not add to the predictive power of a simple count of the number of events. Social support availability did not significantly lower illness rates.