Predicting avoidant coping in individuals recently diagnosed with serious illness. A cross-sectional study

Abstract

Introduction: Avoidant coping has been linked to poorer health outcomes. This cross-sectional study aimed to examine whether high avoidant coping can be reliably predicted from health parameters and socioeconomics among adults recently diagnosed with a serious illness. Methods: A nationwide survey linked to national registers. Inclusion criteria were: i) age ≥50 years, and ii) diagnosed with cancer, neurological disease, and/or heart disease within the year preceding the survey. Coping was assessed using the Brief Approach/Avoidance Coping Questionnaire with high avoidance defined as > mean avoidance score +1 SD. Predictive models were developed using data from all survey respondents aged ≥50 years and subsequently tested in the recently diagnosed subsample. Area Under the Curve (AUC) and 95% Confidence Intervals (CI) were reported. Results: The recently diagnosed sample comprised 746 individuals, of whom 13.4% exhibited high avoidant coping. High avoidance was associated with female sex, lower educational level, shorter self-reported life-expectancy, and poorer perceived social support. However, the predictive models demonstrated poor discriminative capacity (AUC 0.62; CI: 0.57-0.68) for the recently diagnosed sample. Among adults aged 50+ years recently diagnosed with serious illness, high avoidance could not be reliably predicted from health parameters and socioeconomics.